WorldWideScience

Sample records for bridging health inequities

  1. Socioeconomic inequalities in health expectancy in Finland and Norway in the late 1980s

    NARCIS (Netherlands)

    Sihvonen, A. P.; Kunst, A. E.; Lahelma, E.; Valkonen, T.; Mackenbach, J. P.

    1998-01-01

    Studies on health inequalities have usually focused either on mortality or on morbidity. This concerns national studies as well as international comparisons of health inequalities. This paper seeks to bridge the gap by applying health expectancy as a synthetic overall measure of health. The purpose

  2. A systematic review of the relationships between social capital and socioeconomic inequalities in health: a contribution to understanding the psychosocial pathway of health inequalities

    Science.gov (United States)

    2013-01-01

    Introduction Recent research on health inequalities moves beyond illustrating the importance of psychosocial factors for health to a more in-depth study of the specific psychosocial pathways involved. Social capital is a concept that captures both a buffer function of the social environment on health, as well as potential negative effects arising from social inequality and exclusion. This systematic review assesses the current evidence, and identifies gaps in knowledge, on the associations and interactions between social capital and socioeconomic inequalities in health. Methods Through this systematic review we identified studies on the interactions between social capital and socioeconomic inequalities in health published before July 2012. Results The literature search resulted in 618 studies after removal of duplicates, of which 60 studies were eligible for analysis. Self-reported measures of health were most frequently used, together with different bonding, bridging and linking components of social capital. A large majority, 56 studies, confirmed a correlation between social capital and socioeconomic inequalities in health. Twelve studies reported that social capital might buffer negative health effects of low socioeconomic status and five studies concluded that social capital has a stronger positive effect on health for people with a lower socioeconomic status. Conclusions There is evidence for both a buffer effect and a dependency effect of social capital on socioeconomic inequalities in health, although the studies that assess these interactions are limited in number. More evidence is needed, as identified hypotheses have implications for community action and for action on the structural causes of social inequalities. PMID:23870068

  3. Why reduce health inequalities?

    Science.gov (United States)

    Woodward, A; Kawachi, I

    2000-12-01

    It is well known that social, cultural and economic factors cause substantial inequalities in health. Should we strive to achieve a more even share of good health, beyond improving the average health status of the population? We examine four arguments for the reduction of health inequalities.1 Inequalities are unfair. Inequalities in health are undesirable to the extent that they are unfair, or unjust. Distinguishing between health inequalities and health inequities can be contentious. Our view is that inequalities become "unfair" when poor health is itself the consequence of an unjust distribution of the underlying social determinants of health (for example, unequal opportunities in education or employment).2 Inequalities affect everyone. Conditions that lead to marked health disparities are detrimental to all members of society. Some types of health inequalities have obvious spillover effects on the rest of society, for example, the spread of infectious diseases, the consequences of alcohol and drug misuse, or the occurrence of violence and crime.3 Inequalities are avoidable. Disparities in health are avoidable to the extent that they stem from identifiable policy options exercised by governments, such as tax policy, regulation of business and labour, welfare benefits and health care funding. It follows that health inequalities are, in principle, amenable to policy interventions. A government that cares about improving the health of the population ought therefore to incorporate considerations of the health impact of alternative options in its policy setting process.3 Interventions to reduce health inequalities are cost effective. Public health programmes that reduce health inequalities can also be cost effective. The case can be made to give priority to such programmes (for example, improving access to cervical cancer screening in low income women) on efficiency grounds. On the other hand, few programmes designed to reduce health inequalities have been formally

  4. Inequality in health versus inequality in lifestyle choices

    Directory of Open Access Journals (Sweden)

    Arnstein Øvrum

    2015-10-01

    Full Text Available Repeated Norwegian cross-sectional data for the period 2005 to 2011 are used to compare sources of inequality in health, as represented by self-assessed health and obesity, with sources of inequality in lifestyles that are central to the production of health, as represented by physical activity, cigarette smoking and dietary behavior. Sources of overall inequality and socioeconomic inequality in these lifestyle and health indicators are compared by estimating probit models, and by decomposing the explained part of the associated Gini and concentration indices with respect to education and income. As potential sources of inequality, we consider education, income, occupation, age, gender, marital status, psychological traits and childhood circumstances. Our results suggest that sources of inequality in health are not necessarily representative of sources of inequality in underlying lifestyles. While education is generally an important source of overall inequality in both lifestyles and health, income is unimportant in all lifestyle indicators except physical activity. In several cases, education and income are clearly outranked by other factors in terms of explaining overall inequality, such as gender in eating fruits and vegetables and age in fish consumption. These results suggest that it is important to decompose both overall inequality and socioeconomic inequality in different lifestyle and health indicators. In indicators where other factors than education and income are clearly most important, policy makers should consider to target these factors to efficiently improve overall population health.

  5. Global income related health inequalities

    Directory of Open Access Journals (Sweden)

    Jalil Safaei

    2007-01-01

    Full Text Available Income related health inequalities have been estimated for various groups of individuals at local, state, or national levels. Almost all of theses estimates are based on individual data from sample surveys. Lack of consistent individual data worldwide has prevented estimates of international income related health inequalities. This paper uses the (population weighted aggregate data available from many countries around the world to estimate worldwide income related health inequalities. Since the intra-country inequalities are subdued by the aggregate nature of the data, the estimates would be those of the inter-country or international health inequalities. As well, the study estimates the contribution of major socioeconomic variables to the overall health inequalities. The findings of the study strongly support the existence of worldwide income related health inequalities that favor the higher income countries. Decompositions of health inequalities identify inequalities in both the level and distribution of income as the main source of health inequality along with inequalities in education and degree of urbanization as other contributing determinants. Since income related health inequalities are preventable, policies to reduce the income gaps between the poor and rich nations could greatly improve the health of hundreds of millions of people and promote global justice. Keywords: global, income, health inequality, socioeconomic determinants of health

  6. Global Oral Health Inequalities

    Science.gov (United States)

    Garcia, I.; Tabak, L.A.

    2011-01-01

    Despite impressive worldwide improvements in oral health, inequalities in oral health status among and within countries remain a daunting public health challenge. Oral health inequalities arise from a complex web of health determinants, including social, behavioral, economic, genetic, environmental, and health system factors. Eliminating these inequalities cannot be accomplished in isolation of oral health from overall health, or without recognizing that oral health is influenced at multiple individual, family, community, and health systems levels. For several reasons, this is an opportune time for global efforts targeted at reducing oral health inequalities. Global health is increasingly viewed not just as a humanitarian obligation, but also as a vehicle for health diplomacy and part of the broader mission to reduce poverty, build stronger economies, and strengthen global security. Despite the global economic recession, there are trends that portend well for support of global health efforts: increased globalization of research and development, growing investment from private philanthropy, an absolute growth of spending in research and innovation, and an enhanced interest in global health among young people. More systematic and far-reaching efforts will be required to address oral health inequalities through the engagement of oral health funders and sponsors of research, with partners from multiple public and private sectors. The oral health community must be “at the table” with other health disciplines and create opportunities for eliminating inequalities through collaborations that can harness both the intellectual and financial resources of multiple sectors and institutions. PMID:21490232

  7. Health inequality - determinants and policies

    DEFF Research Database (Denmark)

    Diderichsen, Finn; Andersen, Ingelise; Manual, Celie

    2012-01-01

    The review ”Health inequality – determinants and policies” identifies key-areas to be addressed with the aim to reduce the social inequality in health. The general life expectancy has steadily been increasing, but the data reveals marked social inequalities in health as well as life expectancy....... The review seeks to identify the causes of this social inequality. The analysis finds 12 areas of great importance for the inequality in health. This is i.e. early child development, schooling and education, the health behavior of the population, and the role of the health system. Within each of the 12 areas...

  8. Health inequalities

    DEFF Research Database (Denmark)

    Diderichsen, Finn

    2016-01-01

    Social investment policy has become a central response to the demographic and economic challenges facing European welfare states. This focus on investment in human capabilities and their efficient use is, however, challenged by health inequalities where education, health and employment...... are increasingly linked. This paper outlines the main principles of social investment policies (learning, activation and protection) and links them to a conceptual model of health inequalities and the policy entry-points tackling them by addressing the processes of social stratification, differential exposure...... investments in health so as to enable social investments to tackle the health divide....

  9. Health Inequalities in Global Context

    Science.gov (United States)

    Beckfield, Jason; Olafsdottir, Sigrun

    2017-01-01

    The existence of social inequalities in health is well established. One strand of research focuses on inequalities in health within a single country. A separate and newer strand of research focuses on the relationship between inequality and average population health across countries. Despite the theorization of (presumably variable) social conditions as “fundamental causes” of disease and health, the cross-national literature has focused on average, aggregate population health as the central outcome. Controversies currently surround macro-structural determinants of overall population health such as income inequality. We advance and redirect these debates by conceptualizing inequalities in health as cross-national variables that are sensitive to social conditions. Using data from 48 World Values Survey countries, representing 74% of the world’s population, we examine cross-national variation in inequalities in health. The results reveal substantial variation in health inequalities according to income, education, sex, and migrant status. While higher socioeconomic position is associated with better self-rated health around the globe, the size of the association varies across institutional context, and across dimensions of stratification. There is some evidence that education and income are more strongly associated with self-rated health than sex or migrant status. PMID:29104292

  10. Health inequalities--gender perspective.

    Science.gov (United States)

    Ostrowska, Antonina

    2012-01-01

    Health inequalities have become recently one of the major concerns of European health policy. Observed differences in health status of men and women are also frequently discussed within this framework, and are becoming a subject of growing interest of researchers. Clinical and epidemiological researches document male-female health differences, trying to explain them within bio-medical model. However, apart of biological (sex) divergence, health inequalities reflect differences in social roles, social status and culturally established patterns and stereotypes of femininity and masculinity (gender differences). The article, using sociological perspective, attempts to show that observed differences in man's and women's health may be attributable to the differing sociocultural and structural arrangements, social support and lifestyle factors of both genders. As a result, many of these differences are of inequality character. Another dimension of inequality discussed in this article is the way man and women are treated by the institution of medicine.

  11. The intergenerational Inequality of Health in China

    DEFF Research Database (Denmark)

    Eriksson, Tor; Pan, Jay; Qin, Xuezheng

    2014-01-01

    This paper estimates the intergenerational health transmission in China using the 1991–2009 China Health and Nutrition Survey (CHNS) data. Three decades of persistent economic growth in China has been accompanied by high income inequality, which may in turn be caused by the inequality...... of opportunity in education and health. In this paper, we find that there is a strong correlation of health status between parent and their offspring in both the urban and rural sectors, suggesting the existence of intergenerational health inequality in China. The correlation is robust to various model....... The Blinder–Oaxaca decomposition further indicates that 15% to 27% of the rural–urban inequality of child health is attributable to the endowed inequality from their parents' health. An important policy implication of our study is that the increasing inequality of income and opportunity in China can...

  12. Inequalities in health: approaches by health authorities in an English health region.

    Science.gov (United States)

    McCarron, P; Yates, B

    2000-06-01

    In 1995 the Department of Health published Variations in health: what can the Department of Health do? This recommended that health authorities should have a comprehensive plan for identifying and tackling variations in health. We investigated how health authorities in the South and West Region were taking forward this work. Semi-structured interviews and reviews of documentation were conducted in all health authorities in the South and West Region of England. All health authorities viewed tackling inequalities in health as important; however, explicit strategies did not exist and Health of the Nation targets were a vehicle for determining priorities of inequalities. Explicit corporate commitment was often weak. Analyses were being conducted to determine the magnitude of local health inequalities and to assist in designing appropriate interventions. The importance of alliance working was highlighted; much work was being done although success was variable. Efforts are being made throughout the South and West region to tackle inequalities in health. Although strategic vision at the corporate level was often lacking, there was evidence of commitment to taking the inequalities agenda forward within public health directorates. Strengthening of primary care and alliance working roles is essential. Recent national strategy documents, forthcoming legislation, and a review of health inequalities recognize the health effects of inequalities and require health authorities to collaborate with local partners to tackle these, and will offer opportunities to improve corporate commitment and alliance working. Uptake and success of these opportunities will have a major influence on progress in tackling health inequalities.

  13. Incorporating concepts of inequality and inequity into health benefits analysis

    Directory of Open Access Journals (Sweden)

    Tuchmann Jessica L

    2006-03-01

    Full Text Available Abstract Background Although environmental policy decisions are often based in part on both risk assessment information and environmental justice concerns, formalized approaches for addressing inequality or inequity when estimating the health benefits of pollution control have been lacking. Inequality indicators that fulfill basic axioms and agree with relevant definitions and concepts in health benefits analysis and environmental justice analysis can allow for quantitative examination of efficiency-equality tradeoffs in pollution control policies. Methods To develop appropriate inequality indicators for health benefits analysis, we provide relevant definitions from the fields of risk assessment and environmental justice and consider the implications. We evaluate axioms proposed in past studies of inequality indicators and develop additional axioms relevant to this context. We survey the literature on previous applications of inequality indicators and evaluate five candidate indicators in reference to our proposed axioms. We present an illustrative pollution control example to determine whether our selected indicators provide interpretable information. Results and Conclusions We conclude that an inequality indicator for health benefits analysis should not decrease when risk is transferred from a low-risk to high-risk person, and that it should decrease when risk is transferred from a high-risk to low-risk person (Pigou-Dalton transfer principle, and that it should be able to have total inequality divided into its constituent parts (subgroup decomposability. We additionally propose that an ideal indicator should avoid value judgments about the relative importance of transfers at different percentiles of the risk distribution, incorporate health risk with evidence about differential susceptibility, include baseline distributions of risk, use appropriate geographic resolution and scope, and consider multiple competing policy alternatives. Given

  14. Income-related health inequalities across regions in Korea

    Directory of Open Access Journals (Sweden)

    Ahn Byung

    2011-10-01

    Full Text Available Abstract Introduction In addition to economic inequalities, there has been growing concern over socioeconomic inequalities in health across income levels and/or regions. This study measures income-related health inequalities within and between regions and assesses the possibility of convergence of socioeconomic inequalities in health as regional incomes converge. Methods We considered a total of 45,233 subjects (≥ 19 years drawn from the four waves of the Korean National Health and Nutrition Examination Survey (KNHANES. We considered true health as a latent variable following a lognormal distribution. We obtained ill-health scores by matching self-rated health (SRH to its distribution and used the Gini Coefficient (GC and an income-related ill-health Concentration Index (CI to examine inequalities in income and health, respectively. Results The GC estimates were 0.3763 and 0.0657 for overall and spatial inequalities, respectively. The overall CI was -0.1309, and the spatial CI was -0.0473. The spatial GC and CI estimates were smaller than their counterparts, indicating substantial inequalities in income (from 0.3199 in Daejeon to 0.4233 Chungnam and income-related health inequalities (from -0.1596 in Jeju and -0.0844 in Ulsan within regions. The results indicate a positive relationship between the GC and the average ill-health and a negative relationship between the CI and the average ill-health. Those regions with a low level of health tended to show an unequal distribution of income and health. In addition, there was a negative relationship between the GC and the CI, that is, the larger the income inequalities, the larger the health inequalities were. The GC was negatively related to the average regional income, indicating that an increase in a region's average income reduced income inequalities in the region. On the other hand, the CI showed a positive relationship, indicating that an increase in a region's average income reduced health

  15. National health inequality monitoring: current challenges and opportunities.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Bergen, Nicole; Schlotheuber, Anne; Boerma, Ties

    National health inequality monitoring needs considerably more investment to realize equity-oriented health improvements in countries, including advancement towards the Sustainable Development Goals. Following an overview of national health inequality monitoring and the associated resource requirements, we highlight challenges that countries may encounter when setting up, expanding or strengthening national health inequality monitoring systems, and discuss opportunities and key initiatives that aim to address these challenges. We provide specific proposals on what is needed to ensure that national health inequality monitoring systems are harnessed to guide the reduction of health inequalities.

  16. Inequalities in health

    DEFF Research Database (Denmark)

    Blank, N; Diderichsen, Finn

    1996-01-01

    would have been expected on the assumption of additivity of the singular effects of these variables. It is suggested that it is necessary to highlight in further research the complex interactions and pathways between factors associated with health outcomes to improve our understanding of the causal...... of the study is to analyse the interaction between socio-economic and personal circumstances in explaining inequalities in health. It is based on a theoretical framework which presupposes that inequalities in health are likely to be explained by a complicated process involving a multitude of factors....... At the same time, differential exposures and differential responses to risk factors between socio-economic classes for certain health outcomes are determined. The joint effect on general health status, seven years later, of being a manual worker and having reported psychosomatic symptoms is 113% greater than...

  17. Inequality in Health

    DEFF Research Database (Denmark)

    Dybbroe, Betina; Kappel, Nanna

    The overall purpose of the research we want to present, is to discuss how social inequality in health can both be maintained and strengthened- and changed through the health system and health efforts. Our contribution provides a view of a special point of intersection in which the health system...

  18. Health and social inequities in Sweden

    DEFF Research Database (Denmark)

    Diderichsen, Finn

    1990-01-01

    Sweden is one of Europe's most egalitarian countries. The social inequities in living conditions have been gradually reduced to a level that is more equal than in most countries in Europe. Even if general health development has been positive during recent years, data reviewed here indicate...... that there may be adverse effects for some groups which may increase inequities. This article presents results on inequities in health from the Public Health Report of Sweden 1987 and discusses causal mechanisms and implications for health policy....

  19. Inequalities in health: definitions, concepts, and theories

    Directory of Open Access Journals (Sweden)

    Mariana C. Arcaya

    2015-06-01

    Full Text Available Individuals from different backgrounds, social groups, and countries enjoy different levels of health. This article defines and distinguishes between unavoidable health inequalities and unjust and preventable health inequities. We describe the dimensions along which health inequalities are commonly examined, including across the global population, between countries or states, and within geographies, by socially relevant groupings such as race/ethnicity, gender, education, caste, income, occupation, and more. Different theories attempt to explain group-level differences in health, including psychosocial, material deprivation, health behavior, environmental, and selection explanations. Concepts of relative versus absolute; dose–response versus threshold; composition versus context; place versus space; the life course perspective on health; causal pathways to health; conditional health effects; and group-level versus individual differences are vital in understanding health inequalities. We close by reflecting on what conditions make health inequalities unjust, and to consider the merits of policies that prioritize the elimination of health disparities versus those that focus on raising the overall standard of health in a population.

  20. On Effective Graphic Communication of Health Inequality: Considerations for Health Policy Researchers.

    Science.gov (United States)

    Asada, Yukiko; Abel, Hannah; Skedgel, Chris; Warner, Grace

    2017-12-01

    Policy Points: Effective graphs can be a powerful tool in communicating health inequality. The choice of graphs is often based on preferences and familiarity rather than science. According to the literature on graph perception, effective graphs allow human brains to decode visual cues easily. Dot charts are easier to decode than bar charts, and thus they are more effective. Dot charts are a flexible and versatile way to display information about health inequality. Consistent with the health risk communication literature, the captions accompanying health inequality graphs should provide a numerical, explicitly calculated description of health inequality, expressed in absolute and relative terms, from carefully thought-out perspectives. Graphs are an essential tool for communicating health inequality, a key health policy concern. The choice of graphs is often driven by personal preferences and familiarity. Our article is aimed at health policy researchers developing health inequality graphs for policy and scientific audiences and seeks to (1) raise awareness of the effective use of graphs in communicating health inequality; (2) advocate for a particular type of graph (ie, dot charts) to depict health inequality; and (3) suggest key considerations for the captions accompanying health inequality graphs. Using composite review methods, we selected the prevailing recommendations for improving graphs in scientific reporting. To find the origins of these recommendations, we reviewed the literature on graph perception and then applied what we learned to the context of health inequality. In addition, drawing from the numeracy literature in health risk communication, we examined numeric and verbal formats to explain health inequality graphs. Many disciplines offer commonsense recommendations for visually presenting quantitative data. The literature on graph perception, which defines effective graphs as those allowing the easy decoding of visual cues in human brains, shows

  1. Promoting health equity: WHO health inequality monitoring at global and national levels

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Bergen, Nicole; Schlotheuber, Anne

    2015-01-01

    Background Health equity is a priority in the post-2015 sustainable development agenda and other major health initiatives. The World Health Organization (WHO) has a history of promoting actions to achieve equity in health, including efforts to encourage the practice of health inequality monitoring. Health inequality monitoring systems use disaggregated data to identify disadvantaged subgroups within populations and inform equity-oriented health policies, programs, and practices. Objective This paper provides an overview of a number of recent and current WHO initiatives related to health inequality monitoring at the global and/or national level. Design We outline the scope, content, and intended uses/application of the following: Health Equity Monitor database and theme page; State of inequality: reproductive, maternal, newborn, and child health report; Handbook on health inequality monitoring: with a focus on low- and middle-income countries; Health inequality monitoring eLearning module; Monitoring health inequality: an essential step for achieving health equity advocacy booklet and accompanying video series; and capacity building workshops conducted in WHO Member States and Regions. Conclusions The paper concludes by considering how the work of the WHO can be expanded upon to promote the establishment of sustainable and robust inequality monitoring systems across a variety of health topics among Member States and at the global level. PMID:26387506

  2. Promoting health equity: WHO health inequality monitoring at global and national levels.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Bergen, Nicole; Schlotheuber, Anne

    2015-01-01

    Health equity is a priority in the post-2015 sustainable development agenda and other major health initiatives. The World Health Organization (WHO) has a history of promoting actions to achieve equity in health, including efforts to encourage the practice of health inequality monitoring. Health inequality monitoring systems use disaggregated data to identify disadvantaged subgroups within populations and inform equity-oriented health policies, programs, and practices. This paper provides an overview of a number of recent and current WHO initiatives related to health inequality monitoring at the global and/or national level. We outline the scope, content, and intended uses/application of the following: Health Equity Monitor database and theme page; State of inequality: reproductive, maternal, newborn, and child health report; Handbook on health inequality monitoring: with a focus on low- and middle-income countries; Health inequality monitoring eLearning module; Monitoring health inequality: an essential step for achieving health equity advocacy booklet and accompanying video series; and capacity building workshops conducted in WHO Member States and Regions. The paper concludes by considering how the work of the WHO can be expanded upon to promote the establishment of sustainable and robust inequality monitoring systems across a variety of health topics among Member States and at the global level.

  3. Promoting health equity: WHO health inequality monitoring at global and national levels

    Directory of Open Access Journals (Sweden)

    Ahmad Reza Hosseinpoor

    2015-09-01

    Full Text Available Background: Health equity is a priority in the post-2015 sustainable development agenda and other major health initiatives. The World Health Organization (WHO has a history of promoting actions to achieve equity in health, including efforts to encourage the practice of health inequality monitoring. Health inequality monitoring systems use disaggregated data to identify disadvantaged subgroups within populations and inform equity-oriented health policies, programs, and practices. Objective: This paper provides an overview of a number of recent and current WHO initiatives related to health inequality monitoring at the global and/or national level. Design: We outline the scope, content, and intended uses/application of the following: Health Equity Monitor database and theme page; State of inequality: reproductive, maternal, newborn, and child health report; Handbook on health inequality monitoring: with a focus on low- and middle-income countries; Health inequality monitoring eLearning module; Monitoring health inequality: an essential step for achieving health equity advocacy booklet and accompanying video series; and capacity building workshops conducted in WHO Member States and Regions. Conclusions: The paper concludes by considering how the work of the WHO can be expanded upon to promote the establishment of sustainable and robust inequality monitoring systems across a variety of health topics among Member States and at the global level.

  4. Health Inequality and Careers

    Science.gov (United States)

    Robertson, Peter J.

    2014-01-01

    Structural explanations of career choice and development are well established. Socioeconomic inequality represents a powerful factor shaping career trajectories and economic outcomes achieved by individuals. However, a robust and growing body of evidence demonstrates a strong link between socioeconomic inequality and health outcomes. Work is a key…

  5. Social Determinants of LGBT Cancer Health Inequities.

    Science.gov (United States)

    Matthews, Alicia K; Breen, Elizabeth; Kittiteerasack, Priyoth

    2018-02-01

    To describe the extant literature on social determinants of health as they relate to the cancer disparities and to highlight the research findings relating to lesbian, gay, bisexual, and transgender (LGBT) populations. Published scientific literature and clinical literature, and published reports from the World Health Organization and US Department of Health and Human Services. The larger literature on health inequities is moving beyond individual-level predictors of risk to evaluate the influence of social determinants of health on the persistent health inequalities in a population. As it has for other groups, additional research into social determinants of health for LGBT persons of color may play an important role in identifying and reducing cancer inequities for this group. Increased awareness of the factors that contribute to health inequities for the LGBT population may provide insight into improving patient-provider relationships with LGBT patients. A large body of experiential and clinical knowledge positions nurses to conduct meaningful research to expand the current understanding of the social determinants of LGBT cancer health inequities. Copyright © 2017 Elsevier Inc. All rights reserved.

  6. Absolute and Relative Socioeconomic Health Inequalities across Age Groups.

    Science.gov (United States)

    van Zon, Sander K R; Bültmann, Ute; Mendes de Leon, Carlos F; Reijneveld, Sijmen A

    2015-01-01

    The magnitude of socioeconomic health inequalities differs across age groups. It is less clear whether socioeconomic health inequalities differ across age groups by other factors that are known to affect the relation between socioeconomic position and health, like the indicator of socioeconomic position, the health outcome, gender, and as to whether socioeconomic health inequalities are measured in absolute or in relative terms. The aim is to investigate whether absolute and relative socioeconomic health inequalities differ across age groups by indicator of socioeconomic position, health outcome and gender. The study sample was derived from the baseline measurement of the LifeLines Cohort Study and consisted of 95,432 participants. Socioeconomic position was measured as educational level and household income. Physical and mental health were measured with the RAND-36. Age concerned eleven 5-years age groups. Absolute inequalities were examined by comparing means. Relative inequalities were examined by comparing Gini-coefficients. Analyses were performed for both health outcomes by both educational level and household income. Analyses were performed for all age groups, and stratified by gender. Absolute and relative socioeconomic health inequalities differed across age groups by indicator of socioeconomic position, health outcome, and gender. Absolute inequalities were most pronounced for mental health by household income. They were larger in younger than older age groups. Relative inequalities were most pronounced for physical health by educational level. Gini-coefficients were largest in young age groups and smallest in older age groups. Absolute and relative socioeconomic health inequalities differed cross-sectionally across age groups by indicator of socioeconomic position, health outcome and gender. Researchers should critically consider the implications of choosing a specific age group, in addition to the indicator of socioeconomic position and health outcome

  7. Health inequalities in Ethiopia: modeling inequalities in length of life within and between population groups.

    Science.gov (United States)

    Tranvåg, Eirik Joakim; Ali, Merima; Norheim, Ole Frithjof

    2013-07-11

    Most studies on health inequalities use average measures, but describing the distribution of health can also provide valuable knowledge. In this paper, we estimate and compare within-group and between-group inequalities in length of life for population groups in Ethiopia in 2000 and 2011. We used data from the 2011 and 2000 Ethiopia Demographic and Health Survey and the Global Burden of Disease study 2010, and the MODMATCH modified logit life table system developed by the World Health Organization to model mortality rates, life expectancy, and length of life for Ethiopian population groups stratified by wealth quintiles, gender and residence. We then estimated and compared within-group and between-group inequality in length of life using the Gini index and absolute length of life inequality. Length of life inequality has decreased and life expectancy has increased for all population groups between 2000 and 2011. Length of life inequality within wealth quintiles is about three times larger than the between-group inequality of 9 years. Total length of life inequality in Ethiopia was 27.6 years in 2011. Longevity has increased and the distribution of health in Ethiopia is more equal in 2011 than 2000, with length of life inequality reduced for all population groups. Still there is considerable potential for further improvement. In the Ethiopian context with a poor and highly rural population, inequality in length of life within wealth quintiles is considerably larger than between them. This suggests that other factors than wealth substantially contribute to total health inequality in Ethiopia and that identification and quantification of these factors will be important for identifying proper measures to further reduce length of life inequality.

  8. Inequalities in global health inequalities research: A 50-year bibliometric analysis (1966-2015)

    Science.gov (United States)

    Pericàs, Juan M.; Benach, Joan

    2018-01-01

    Background Increasing evidence shows that health inequalities exist between and within countries, and emphasis has been placed on strengthening the production and use of the global health inequalities research, so as to improve capacities to act. Yet, a comprehensive overview of this evidence base is still needed, to determine what is known about the global and historical scientific production on health inequalities to date, how is it distributed in terms of country income groups and world regions, how has it changed over time, and what international collaboration dynamics exist. Methods A comprehensive bibliometric analysis of the global scientific production on health inequalities, from 1966 to 2015, was conducted using Scopus database. The historical and global evolution of the study of health inequalities was considered, and through joinpoint regression analysis and visualisation network maps, the preceding questions were examined. Findings 159 countries (via authorship affiliation) contributed to this scientific production, three times as many countries than previously found. Scientific output on health inequalities has exponentially grown over the last five decades, with several marked shift points, and a visible country-income group affiliation gradient in the initiation and consistent publication frequency. Higher income countries, especially Anglo-Saxon and European countries, disproportionately dominate first and co-authorship, and are at the core of the global collaborative research networks, with the Global South on the periphery. However, several country anomalies exist that suggest that the causes of these research inequalities, and potential underlying dependencies, run deeper than simply differences in country income and language. Conclusions Whilst the global evidence base has expanded, Global North-South research gaps exist, persist and, in some cases, are widening. Greater understanding of the structural determinants of these research

  9. The Intergenerational Inequality of Health in China

    DEFF Research Database (Denmark)

    Eriksson, Tor; Pan, Jay; Qin, Xuezheng

    This paper estimates the intergenerational health transmission in China using the 1991-2009 China Health and Nutrition Survey (CHNS) data. Three decades of persistent economic growth in China has been accompanied by high income inequality, which may in turn be caused by the inequality...... measures and various model specifications, and is robust when unobserved household heterogeneity is removed. We also find that the parents’ (especially the mothers’) socio-economic characteristics and environmental / health care choices are strongly correlated with their own and their children’s health......, supporting the “nature-nurture interaction” hypothesis. The Blinder-Oaxaca decomposition further indicates that 15% to 27% of the rural-urban inequality of child health is attributable to the endowed inequality from their parents’ health. An important policy implication of our study is that the increasing...

  10. Does inequality in health impede economic growth?

    Science.gov (United States)

    Grimm, Michael

    2011-01-01

    This paper investigates the effects of inequality in health on economic growth in low and middle income countries. The empirical part of the paper uses an original cross-national panel data set covering 62 low and middle income countries over the period 1985 to 2007. I find a substantial and relatively robust negative effect of health inequality on income levels and income growth controlling for life expectancy, country and time fixed-effects and a large number of other effects that have been shown to matter for growth. The effect also holds if health inequality is instrumented to circumvent a potential problem of reverse causality. Hence, reducing inequality in the access to health care and to health-related information can make a substantial contribution to economic growth.

  11. Addressing inequalities in health--what is the contribution of health trainers?

    Science.gov (United States)

    White, Judy; Woodward, Jenny; South, Jane

    2013-07-01

    The role that members of the public (non-professional lay people) can play in improving health is being increasingly recognised in research and policy. This paper explores what contribution lay people employed as health trainers are making to addressing health inequalities in England. Data from eight local evaluations of health trainer services were synthesised using a data-extraction framework to find out about client populations, any lifestyle changes made, health trainers' background and community engagement activities. These data were compared with national data to assess how findings relating to addressing inequalities compared with the national picture. Local data largely matched national data and showed that health trainers are reaching people living with disadvantage and enabling them to make lifestyle changes. The data suggest that they do this by engaging with communities and taking a person-centred approach. Being non-clinical peers is also important. However, no evidence was found that health trainers were impacting on health inequalities at a population level. Health trainers are contributing to addressing health inequalities but the services evaluated were small and had been operating for a limited time, so to expect reductions in inequalities at a population level within districts would be unrealistic. The findings of this synthesis present a challenge to primary care and public health to employ health trainers in order to engage marginalised communities as one element of plans to address health inequalities.

  12. [Equity in health? Health inequalities, ethics, and theories of distributive justice].

    Science.gov (United States)

    Buyx, A M

    2010-01-01

    It is well-documented that the socio-economic status has an important influence on health. In all developed countries, health is closely correlated with income, education, and type of employment, as well as with several other social determinants. While data on this socio-economic health gradient have been available for decades, the moral questions surrounding social health inequalities have only recently been addressed within the field of public health ethics. The present article offers a brief overview of relevant data on social health inequalities and on some explanatory models from epidemiology, social medicine and related disciplines. The main part explores three influential normative accounts addressing the issue of health inequalities. Finally, an agenda for future work in the field of public health ethics and health inequalities is sketched, with particular attention to the German context.

  13. Tackling Health Inequalities Locally

    DEFF Research Database (Denmark)

    Diderichsen, Finn; Scheele, Christian Elling; Little, Ingvild Gundersen

    of this study. It is based on three sources: 1. Interviews with policymakers (administrators and politicians) within healthcare administrations, childhood/education, and labour market administrations from September 2014 to March 2015*. 2. Textual analysis of available policy documents from regions...... of translating small inequalities in wealth into small inequalities in health. Denmark, Norway and Sweden all have legislation that indifferent ways offers local governments key roles in public health. This is partly due to local governments’ responsibility for many policy areas of great relevance to health...... state model, including its health policy, as an area of Nordic collaboration (104). However, realising the principle of health (equity) in all policiesis no simple matter. The national authorities and local government federations in Denmark, Norway and Sweden have therefore initiated various activities...

  14. [Inequalities in health in Italy].

    Science.gov (United States)

    Caiazzo, Antonio; Cardano, Mario; Cois, Ester; Costa, Giuseppe; Marinacci, Chiara; Spadea, Teresa; Vannoni, Francesca; Venturini, Lorenzo

    2004-01-01

    Socioeconomic inequality and its impact on health is a growing concern in the European public health debate. In many countries, the issue is moving away from description towards the identification of the determinants of inequalities and the development of policies explicitly aimed at reducing inequalities in health. In Italy, ten years after the publication of the first report on inequalities in health, this topic is seldom present on the agenda of public policy makers. The purpose of this report is to update the Italian profile of social variation in health and health care in order to stimulate the debate on ways to tackle inequalities in health that are preventable. In the first section of this book, the threefold objective is to describe the principal mechanisms involved in the generation of social inequalities in health (Introduction); to report Italian data on the distribution and magnitude of this phenomenon in the last decade; and to evaluate policies and interventions in both the social (chapter 1.9, Section I) and the health sector (chapter 2.3, Section I), which are potentially useful to reduce health inequalities. It is intended for anyone who is in a position to contribute t o decision-making that will benefit the health of communities. For this reason, chapters are organized by specific determinants of inequalities on which interentions may have an impact. The methodological approach in the second section focuses on the best methods to monitor social inequalities including recommendations on social indicators, sources of information and study models, based on European guidelines revised for the Italian situation. According to data from national and local studies, mortality increases linearly with social disadvantage for a wide range of indicators at both the individual (education, social class, income, quality of housing) and the geographical level (deprivation indexes computed at different levels of aggregation). This positive correlation is evident

  15. Social justice, epidemiology and health inequalities.

    Science.gov (United States)

    Marmot, Michael

    2017-07-01

    A lifetime spent studying how social determinants of health lead to health inequalities has clarified many issues. First is that social stratification is an appropriate topic of study for epidemiologists. To ignore it would be to ignore a major source of variation in health in society. Not only is the social gradient in health appropriate to study but we have made progress both in understanding its causes and what can be done to address them. Post-modern 'critical theory' raises questions about the social construction of science. Given the attack on science by politicians of bad faith, it is important to recognise that epidemiology and public health have a crucial role to play in providing evidence to improve health of society and reduce inequalities. Evidence gives grounds for optimism that progress can be made both in improving the health of the worst-off in society and narrowing health inequalities. Theoretical debates about 'inequality of what' have been helpful in clarifying theories that drive further gathering of evidence. While it is important to consider alternative explanations of the social gradient in health-principal among them reverse causation-evidence strongly supports social causation. Social action is by its nature political. It is, though, a vital function to provide the evidence that underpins action.

  16. Socioeconomic inequality in domains of health: results from the World Health Surveys

    Directory of Open Access Journals (Sweden)

    Hosseinpoor Ahmad

    2012-03-01

    Full Text Available Abstract Background In all countries people of lower socioeconomic status evaluate their health more poorly. Yet in reporting overall health, individuals consider multiple domains that comprise their perceived health state. Considered alone, overall measures of self-reported health mask differences in the domains of health. The aim of this study is to compare and assess socioeconomic inequalities in each of the individual health domains and in a separate measure of overall health. Methods Data on 247,037 adults aged 18 or older were analyzed from 57 countries, drawn from all national income groups, participating in the World Health Survey 2002-2004. The analysis was repeated for lower- and higher-income countries. Prevalence estimates of poor self-rated health (SRH were calculated for each domain and for overall health according to wealth quintiles and education levels. Relative socioeconomic inequalities in SRH were measured for each of the eight health domains and for overall health, according to wealth quintiles and education levels, using the relative index of inequality (RII. A RII value greater than one indicated greater prevalence of self-reported poor health among populations of lower socioeconomic status, called pro-rich inequality. Results There was a descending gradient in the prevalence of poor health, moving from the poorest wealth quintile to the richest, and moving from the lowest to the highest educated groups. Inequalities which favor groups who are advantaged either with respect to wealth or education, were consistently statistically significant in each of the individual domains of health, and in health overall. However the size of these inequalities differed between health domains. The prevalence of reporting poor health was higher in the lower-income country group. Relative socioeconomic inequalities in the health domains and overall health were higher in the higher-income country group than the lower-income country group

  17. Impact of Income Inequality on the Nation's Health.

    Science.gov (United States)

    López, Diego B; Loehrer, Andrew P; Chang, David C

    2016-10-01

    Income inequality in the United States has been increasing in recent decades. It is unclear whether income inequality has an independent effect on health outcomes, or whether it simply correlates with increasing levels of poverty. The goal of this study was to evaluate whether income inequality is significantly associated with US county health care expenditures and health care use. Cross-sectional analysis of county health expenditure data from the Health Resources and Services Administration's Area Resources File, county income inequality measures (Gini coefficient) from the Census' American Community Survey, and estimates of potentially preventable admissions and potentially discretionary procedures from the Nationwide Inpatient Sample (1998 to 2011). Datasets were linked via county Federal Information Processing Standard codes. Multivariable linear and Poisson regression analyses were performed at the county level adjusting for county characteristics. A total of 1,237 counties (of 3,144) were included. Income inequality was associated with higher health care expenditures, with each 1 percentage-point increase in county Gini coefficient associated with a US$40,008 increase in annual county Medicare cost (p = 0.003), and an increase of 174.7 total county Medicare inpatient days per year (p inequality had higher potentially preventable admission (eg 4.86 rate ratio for low-birth-weight hospital admissions in the top income inequality quartile compared with bottom quartile; p income inequality quartile compared with bottom quartile; p Income inequality is independently associated with higher health care expenditures and more health care use, with increases in both potentially discretionary procedures and in potentially preventable admissions. Copyright © 2016 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

  18. Income inequality, trust, and population health in 33 countries.

    Science.gov (United States)

    Elgar, Frank J

    2010-11-01

    I examined the association between income inequality and population health and tested whether this association was mediated by interpersonal trust or public expenditures on health. Individual data on trust were collected from 48 641 adults in 33 countries. These data were linked to country data on income inequality, public health expenditures, healthy life expectancy, and adult mortality. Regression analyses tested for statistical mediation of the association between income inequality and population health outcomes by country differences in trust and health expenditures. Income inequality correlated with country differences in trust (r = -0.51), health expenditures (r = -0.45), life expectancy (r = -0.74), and mortality (r = 0.55). Trust correlated with life expectancy (r = 0.48) and mortality (r = -0.47) and partly mediated their relations to income inequality. Health expenditures did not correlate with life expectancy and mortality, and health expenditures did not mediate links between inequality and health. Income inequality might contribute to short life expectancy and adult mortality in part because of societal differences in trust. Societies with low levels of trust may lack the capacity to create the kind of social supports and connections that promote health and successful aging.

  19. HEALTH / GENDER STUDIES: HIV/AIDS and Health Inequalities in ...

    African Journals Online (AJOL)

    This paper focuses on the interface between the HIV/AIDS pandemic and health inequalities in Sub-Saharan Africa, with an inbuilt assumption that the health inequality situation in African nation states exacerbates, and therefore forestalls meaningful efforts towards the control of HIV/AIDS spread in sub-Saharan Africa.

  20. Wealth inequality and health: a political economy perspective.

    Science.gov (United States)

    Nowatzki, Nadine R

    2012-01-01

    Despite a plethora of studies on income inequality and health, researchers have been unable to make any firm conclusions as a result of methodological and theoretical limitations. Within this body of research, there has been a call for studies of wealth inequality and health. Wealth is far more unequally distributed than income and is conceptually unique from income. This paper discusses the results of bivariate cross-sectional analyses of the relationship between wealth inequality (Gini coefficient) and population health (life expectancy and infant mortality) in 14 wealthy countries. The results confirm that wealth inequality is associated with poor population health. Both unweighted and weighted correlations between wealth inequality and health are strong and significant, even after controlling for a variety of potential aggregate-level confounders, including gross domestic product per capita, and after excluding the United States, the most unequal country. The results are strongest for female life expectancy and infant mortality. The author outlines potential pathways through which wealth inequality might affect health, using specific countries to illustrate. The article concludes with policy recommendations that could contribute to a more equitable distribution of wealth and, ultimately, decreased health disparities.

  1. Poverty, inequality and a political economy of mental health.

    Science.gov (United States)

    Burns, J K

    2015-04-01

    The relationship between poverty and mental health is indisputable. However, to have an influence on the next set of sustainable global development goals, we need to understand the causal relationships between social determinants such as poverty, inequality, lack of education and unemployment; thereby clarifying which aspects of poverty are the key drivers of mental illness. Some of the major challenges identified by Lund (2014) in understanding the poverty-mental health relationship are discussed including: the need for appropriate poverty indicators; extending this research agenda to a broader range of mental health outcomes; the need to engage with theoretical concepts such as Amartya Sen's capability framework; and the need to integrate the concept of income/economic inequality into studies of poverty and mental health. Although income inequality is a powerful driver of poor physical and mental health outcomes, it features rarely in research and discourse on social determinants of mental health. This paper interrogates in detail the relationships between poverty, income inequality and mental health, specifically: the role of income inequality as a mediator of the poverty-mental health relationship; the relative utility of commonly used income inequality metrics; and the likely mechanisms underlying the impact of inequality on mental health, including direct stress due to the setting up of social comparisons as well as the erosion of social capital leading to social fragmentation. Finally, we need to interrogate the upstream political, social and economic causes of inequality itself, since these should also become potential targets in efforts to promote sustainable development goals and improve population (mental) health. In particular, neoliberal (market-oriented) political doctrines lead to both increased income inequality and reduced social cohesion. In conclusion, understanding the relationships between politics, poverty, inequality and mental health

  2. Socioeconomic inequality of diabetes patients' health care utilization in Denmark

    DEFF Research Database (Denmark)

    Sortsø, Camilla; Lauridsen, Jørgen; Emneus, Martha

    2017-01-01

    Understanding socioeconomic inequalities in health care is critical for achieving health equity. The aim of this paper is threefold: 1) to quantify inequality in diabetes health care service utilization; 2) to understand determinants of these inequalities in relation to socio-demographic and clin......Understanding socioeconomic inequalities in health care is critical for achieving health equity. The aim of this paper is threefold: 1) to quantify inequality in diabetes health care service utilization; 2) to understand determinants of these inequalities in relation to socio...... differences in inequality estimates. While income, alike other measures of labor market attachment, to a certain extent is explained by morbidity and thus endogenous, education is more decisive for patients' ability to take advantage of the more specialized services provided in a universal health care system....

  3. [Research on social determinants of health and health inequalities: evidence for health in all policies].

    Science.gov (United States)

    Borrell, Carme; Malmusi, Davide

    2010-12-01

    This article aims to review conceptual frameworks and some principles to be considered in research on social determinants of health and health inequalities. Some indicators of research on these issues in Spain are described. General expenditure on research and development in Spain is far from the Organisation for Economic Co-operation and Development mean. In addition, both globally and within Spain, the scientific production on health inequalities is very low, especially compared with other research areas. The budget for research on health inequalities is also reduced. A striking example is provided by analysis of the projects funded by the Marató de TV3, which seems to have little interest in funding research on health inequalities. However, both the scientific production and project financing on health inequalities have increased in the last decade. Finally, to advance research on health inequalities and its contribution to the incorporation of health in all policies, recommendations are made, which include redefining priorities, ensuring resources and promoting knowledge translation. Copyright © 2010 SESPAS. Published by Elsevier Espana. All rights reserved.

  4. Income-related inequalities in health: some international comparisons

    NARCIS (Netherlands)

    E.K.A. van Doorslaer (Eddy); A. Wagstaff (Adam); H. Bleichrodt (Han)

    1997-01-01

    textabstractThis paper presents evidence on income-related inequalities in self-assessed health in nine industrialized countries. Health interview survey data were used to construct concentration curves of self-assessed health, measured as a latent variable. Inequalities in health favoured the

  5. Socioeconomic inequalities in health in 22 European countries

    DEFF Research Database (Denmark)

    Mackenbach, Johan P; Stirbu, Irina; Roskam, Albert-Jan R

    2008-01-01

    , such as tuberculosis and hypertension. Data on self-assessed health, smoking, and obesity according to education and income were obtained from health or multipurpose surveys. For each country, the association between socioeconomic status and health outcomes was measured with the use of regression-based inequality...... by improving educational opportunities, income distribution, health-related behavior, or access to health care.......BACKGROUND: Comparisons among countries can help to identify opportunities for the reduction of inequalities in health. We compared the magnitude of inequalities in mortality and self-assessed health among 22 countries in all parts of Europe. METHODS: We obtained data on mortality according...

  6. Determinants of MSK health and disability--social determinants of inequities in MSK health.

    Science.gov (United States)

    Guillemin, Francis; Carruthers, Erin; Li, Linda C

    2014-06-01

    Even in most egalitarian societies, disparities in care exist to the disadvantage of some people with chronic musculoskeletal (MSK) disorders and related disability. These situations translate into inequality in health and health outcomes. The goal of this chapter is to review concepts and determinants associated with health inequity, and the effect of interventions to minimize their impact. Health inequities are avoidable, unnecessary, unfair and unjust. Inequities can occur across the health care continuum, from primary and secondary prevention to diagnosis and treatment. There are many ways to define and identify inequities, according for instance to ethical, philosophical, epidemiological, sociological, economic, or public health points of view. These complementary views can be applied to set a framework of analysis, identify determinants and suggest targets of action against inequity. Most determinants of inequity in MSK disorders are similar to those in the general population and other chronic diseases. People may be exposed to inequity as a result of policies and rules set by the health care system, individuals' demographic characteristics (e.g., education level), or some behavior of health professionals and of patients. Osteoarthritis (OA) represents a typical chronic MSK condition. The PROGRESS-Plus framework is useful for identifying the important role that place of residence, race and ethnicity, occupation, gender, education, socioeconomic status, social capital and networks, age, disability and sexual orientation may have in creating or maintaining inequities in this disease. In rheumatoid arthritis (RA), a consideration of international data led to the conclusion that not all RA patients who needed biologic therapy had access to it. The disparity in care was due partly to policies of a country and a health care system, or economic conditions. We conclude this chapter by discussing examples of interventions designed for reducing health inequity

  7. The policies-inequality feedback and health: the case of globalisation.

    Science.gov (United States)

    De Vogli, R; Gimeno, D; Mistry, R

    2009-09-01

    Major research contributions aimed at explaining the association between economic inequality and health have concentrated on the plausibility of the material deprivation and psychosocial factors pathways. However, little work has analysed the reciprocal associations between public policies and inequality and their effect on health. A conceptual framework was first proposed explaining how the public policies-inequality feedback can influence health outcomes via material deprivation and psychosocial factors. Then, a critical review of the literature was conducted and an analysis of the health effects of the globalisation-inequality feedback as a case study. Different bodies of evidence seem to give support to the hypothesis of a public policies-inequality feedback influencing health-related outcomes. This seems to be particularly true when considering globalisation policies. Since the widespread adoption of the so-called "Washington Consensus", economic inequalities have sharply increased worldwide. The rise in inequality has, in turn, further consolidated the adoption of these policies through an increasing "democratic deficit". The reciprocal effects of globalisation and inequality have produced adverse health outcomes between and within societies through both material deprivation and psychosocial stress. Public policies and economic inequality are inextricably interrelated and can affect health through multiple, indirect, reciprocal pathways.

  8. Income-related inequality in health and health care utilization in Chile, 2000-2009.

    Science.gov (United States)

    Vásquez, Felipe; Paraje, Guillermo; Estay, Manuel

    2013-02-01

    To measure and explain income-related inequalities in health and health care utilization in the period 2000 - 2009 in Chile, while assessing variations within the country and determinants of inequalities. Data from the National Socioeconomic Characterization Survey for 2000, 2003, and 2009 were used to measure inequality in health and health care utilization. Income-related inequality in health care utilization was assessed with standardized concentration indices for the probability and total number of visits to specialized care, generalized care, emergency care, dental care, mental health care, and hospital care. Self-assessed health status and physical limitations were used as proxies for health care need. Standardization was performed with demographic and need variables. The decomposition method was applied to estimate the contribution of each factor used to calculate the concentration index, including ethnicity, employment status, health insurance, and region of residence. In Chile, people in lower-income quintiles report worse health status and more physical limitations than people in higher quintiles. In terms of health service utilization, pro-rich inequities were found for specialized and dental visits with a slight pro-rich utilization for general practitioners and all physician visits. All pro-rich inequities have decreased over time. Emergency room visits and hospitalizations are concentrated among lower-income quintiles and have increased over time. Higher education and private health insurance contribute to a pro-rich inequity in dentist, general practitioner, specialized, and all physician visits. Income contributes to a pro-rich inequity in specialized and dentist visits, whereas urban residence and economic activity contribute to a pro-poor inequity in emergency room visits. The pattern of health care utilization in Chile is consistent with policies implemented in the country and in the intended direction. The significant income inequality in the

  9. Social inequalities in health: a proper concern of epidemiology.

    Science.gov (United States)

    Marmot, Michael; Bell, Ruth

    2016-04-01

    Social inequalities are a proper concern of epidemiology. Epidemiological thinking and modes of analysis are central, but epidemiological research is one among many areas of study that provide the evidence for understanding the causes of social inequalities in health and what can be done to reduce them. Understanding the causes of health inequalities requires insights from social, behavioral and biological sciences, and a chain of reasoning that examines how the accumulation of positive and negative influences over the life course leads to health inequalities in adult life. Evidence that the social gradient in health can be reduced should make us optimistic that reducing health inequalities is a realistic goal for all societies. Copyright © 2016 Elsevier Inc. All rights reserved.

  10. Under the veil of neoliberalism: inequality, health, and capabilities

    OpenAIRE

    Kemp, Eagan

    2008-01-01

    The relationship between income inequality and health has received substantial attention in the fields of medical sociology and public health and continues to be debated. In Chile, previous findings indicate that there is an income inequality effect; respondents who live in areas with high inequality experience a greater probability of poor self-reported health. This study examines the Wilkinson income inequality hypothesis in a new way by using it in conjunction with Sen’s capability approac...

  11. CDC Health Disparities and Inequalities Report--U.S. 2013

    Science.gov (United States)

    ... Women's Health Health Literacy Health Equity CDC Health Disparities & Inequalities Report (CHDIR) Recommend on Facebook Tweet Share ... 2011 Report More Information CDC Releases Second Health Disparities & Inequalities Report - United States, 2013 CDC and its ...

  12. Social inequality in health, responsibility and egalitarian justice

    DEFF Research Database (Denmark)

    Andersen, Martin Marchman; Dalton, Susanne Oksbjerg; Johansen, Christoffer

    2013-01-01

    Are social inequalities in health unjust when brought about by differences in lifestyle? A widespread idea, luck egalitarianism, is that inequality stemming from individuals’ free choices is not to be considered unjust, since individuals, presumably, are themselves responsible for such choices....... Thus, to the extent that lifestyles are in fact results of free choices, social inequality in health brought about by these choices is not in tension with egalitarian justice. If this is so, then it may put in question the justification of free and equal access to health care and existing medical...... not fully establish - that at the most fundamental level people are never responsible in such a way that appeals to individuals’ own responsibility can justify inequalities in health....

  13. Income, Wealth and Health Inequalities - A Scottish Social Justice Perspective.

    Science.gov (United States)

    Molony, Elspeth; Duncan, Christine

    2016-01-01

    This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland's vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice-health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare.

  14. Ethnic minority health in Vietnam: a review exposing horizontal inequity

    Directory of Open Access Journals (Sweden)

    Mats Målqvist

    2013-03-01

    Full Text Available Background: Equity in health is a pressing concern and reaching disadvantaged populations is necessary to close the inequity gap. To date, the discourse has predominately focussed on reaching the poor. At the same time and in addition to wealth, other structural determinants that influence health outcomes exist, one of which is ethnicity. Inequities based on group belongings are recognised as ‘horizontal’, as opposed to the more commonly used notion of ‘vertical’ inequity based on individual characteristics. Objective: The aim of the present review is to highlight ethnicity as a source of horizontal inequity in health and to expose mechanisms that cause and maintain this inequity in Vietnam. Design: Through a systematic search of available academic and grey literature, 49 publications were selected for review. Information was extracted on: a quantitative measures of health inequities based on ethnicity and b qualitative descriptions explaining potential reasons for ethnicity-based health inequities. Results: Five main areas were identified: health-care-seeking and utilization, maternal and child health, nutrition, infectious diseases, and oral health and hygiene. Evidence suggests the presence of severe health inequity in health along ethnic lines in all these areas. Research evidence also offers explanations derived from both external and internal group dynamics to this inequity. It is reported that government policies and programs appear to be lacking in culturally adaptation and sensitivity, and examples of bad attitudes and discrimination from health staff toward minority persons were identified. In addition, traditions and patriarchal structures within ethnic minority groups were seen to contribute to the maintenance of harmful health behaviors within these groups. Conclusion: Better understandings of the scope and pathways of horizontal inequities are required to address ethnic inequities in health. Awareness of ethnicity as a

  15. Ethnic minority health in Vietnam: a review exposing horizontal inequity

    Science.gov (United States)

    Målqvist, Mats; Hoa, Dinh Thi Phuong; Liem, Nguyen Thanh; Thorson, Anna; Thomsen, Sarah

    2013-01-01

    Background Equity in health is a pressing concern and reaching disadvantaged populations is necessary to close the inequity gap. To date, the discourse has predominately focussed on reaching the poor. At the same time and in addition to wealth, other structural determinants that influence health outcomes exist, one of which is ethnicity. Inequities based on group belongings are recognised as ‘horizontal’, as opposed to the more commonly used notion of ‘vertical’ inequity based on individual characteristics. Objective The aim of the present review is to highlight ethnicity as a source of horizontal inequity in health and to expose mechanisms that cause and maintain this inequity in Vietnam. Design Through a systematic search of available academic and grey literature, 49 publications were selected for review. Information was extracted on: a) quantitative measures of health inequities based on ethnicity and b) qualitative descriptions explaining potential reasons for ethnicity-based health inequities. Results Five main areas were identified: health-care-seeking and utilization, maternal and child health, nutrition, infectious diseases, and oral health and hygiene. Evidence suggests the presence of severe health inequity in health along ethnic lines in all these areas. Research evidence also offers explanations derived from both external and internal group dynamics to this inequity. It is reported that government policies and programs appear to be lacking in culturally adaptation and sensitivity, and examples of bad attitudes and discrimination from health staff toward minority persons were identified. In addition, traditions and patriarchal structures within ethnic minority groups were seen to contribute to the maintenance of harmful health behaviors within these groups. Conclusion Better understandings of the scope and pathways of horizontal inequities are required to address ethnic inequities in health. Awareness of ethnicity as a determinant of health, not

  16. Technological innovations and the rise of social inequalities in health.

    Science.gov (United States)

    Weiss, Daniel; Eikemo, Terje Andreas

    2017-11-01

    Social inequalities in health have been categorised as a human-rights issue that requires action. Unfortunately, these inequalities are on the rise in many countries, including welfare states. Various theories have been offered to explain the persistence (and rise) of these inequalities over time, including the social determinants of health and fundamental cause theory. Interestingly, the rise of modern social inequalities in health has come at a time of great technological innovation. This article addresses whether these technological innovations are significantly influencing the persistence of modern social inequalities in health. A theoretical argument is offered for this potential connection and is discussed alongside the typical social determinants of health perspective and the increasingly popular fundamental cause perspective. This is followed by a proposed research agenda for further investigation of the potential role that technological innovations may play in influencing social inequalities in health.

  17. Cultural capital and social inequality in health.

    Science.gov (United States)

    Abel, T

    2008-07-01

    Economic and social resources are known to contribute to the unequal distribution of health outcomes. Culture-related factors such as normative beliefs, knowledge and behaviours have also been shown to be associated with health status. The role and function of cultural resources in the unequal distribution of health is addressed. Drawing on the work of French Sociologist Pierre Bourdieu, the concept of cultural capital for its contribution to the current understanding of social inequalities in health is explored. It is suggested that class related cultural resources interact with economic and social capital in the social structuring of people's health chances and choices. It is concluded that cultural capital is a key element in the behavioural transformation of social inequality into health inequality. New directions for empirical research on the interplay between economic, social and cultural capital are outlined.

  18. Health Equity Assessment Toolkit (HEAT: software for exploring and comparing health inequalities in countries

    Directory of Open Access Journals (Sweden)

    Ahmad Reza Hosseinpoor

    2016-10-01

    Full Text Available Abstract Background It is widely recognised that the pursuit of sustainable development cannot be accomplished without addressing inequality, or observed differences between subgroups of a population. Monitoring health inequalities allows for the identification of health topics where major group differences exist, dimensions of inequality that must be prioritised to effect improvements in multiple health domains, and also population subgroups that are multiply disadvantaged. While availability of data to monitor health inequalities is gradually improving, there is a commensurate need to increase, within countries, the technical capacity for analysis of these data and interpretation of results for decision-making. Prior efforts to build capacity have yielded demand for a toolkit with the computational ability to display disaggregated data and summary measures of inequality in an interactive and customisable fashion that would facilitate interpretation and reporting of health inequality in a given country. Methods To answer this demand, the Health Equity Assessment Toolkit (HEAT, was developed between 2014 and 2016. The software, which contains the World Health Organization’s Health Equity Monitor database, allows the assessment of inequalities within a country using over 30 reproductive, maternal, newborn and child health indicators and five dimensions of inequality (economic status, education, place of residence, subnational region and child’s sex, where applicable. Results/Conclusion HEAT was beta-tested in 2015 as part of ongoing capacity building workshops on health inequality monitoring. This is the first and only application of its kind; further developments are proposed to introduce an upload data feature, translate it into different languages and increase interactivity of the software. This article will present the main features and functionalities of HEAT and discuss its relevance and use for health inequality monitoring.

  19. European health inequality through the 'Great Recession': social policy matters.

    Science.gov (United States)

    van der Wel, Kjetil A; Saltkjel, Therese; Chen, Wen-Hao; Dahl, Espen; Halvorsen, Knut

    2018-05-01

    This paper investigates the association between the Great Recession and educational inequalities in self-rated general health in 25 European countries. We investigate four different indicators related to economic recession: GDP; unemployment; austerity and a 'crisis' indicator signifying severe simultaneous drops in GDP and welfare generosity. We also assess the extent to which health inequality changes can be attributed to changes in the economic conditions and social capital in the European populations. The paper uses data from the European Social Survey (2002-2014). The analyses include both cross-sectional and lagged associations using multilevel linear regression models with country fixed effects. This approach allows us to identify health inequality changes net of all time-invariant differences between countries. GDP drops and increasing unemployment were associated with decreasing health inequalities. Austerity, however, was related to increasing health inequalities, an association that grew stronger with time. The strongest increase in health inequality was found for the more robust 'crisis' indicator. Changes in trust, social relationships and in the experience of economic hardship of the populations accounted for much of the increase in health inequality. The paper concludes that social policy has an important role in the development of health inequalities, particularly during times of economic crisis. © 2018 The Authors. Sociology of Health & Illness published by John Wiley & Sons Ltd on behalf of Foundation for SHIL.

  20. Inequalities in health: the role of health insurance in Nigeria

    Directory of Open Access Journals (Sweden)

    Amanda Chukwudozie

    2016-08-01

    Full Text Available Health financing is a core necessity for sustainable healthcare delivery. Access inequalities due to financial restrictions in low-middle income countries, and in Africa especially, significantly affect disease rates and health statistics in these regions. This paper focuses on the role of a national health insurance cover as a funding medium in Nigeria, highlighting the theoretical premise of health insurance, its driving forces, key benefits and key limitations particular to the country under scrutiny. Emphasis is laid on its overall effect on the pressing public health issue of health inequality.

  1. Early-life income inequality and adolescent health and well-being.

    Science.gov (United States)

    Elgar, Frank J; Gariépy, Geneviève; Torsheim, Torbjørn; Currie, Candace

    2017-02-01

    A prevailing hypothesis about the association between income inequality and poor health is that inequality intensifies social hierarchies, increases stress, erodes social and material resources that support health, and subsequently harms health. However, the evidence in support of this hypothesis is limited by cross-sectional, ecological studies and a scarcity of developmental studies. To address this limitation, we used pooled, multilevel data from the Health Behaviour in School-aged Children study to examine lagged, cumulative, and trajectory associations between early-life income inequality and adolescent health and well-being. Psychosomatic symptoms and life satisfaction were assessed in surveys of 11- to 15-year-olds in 40 countries between 1994 and 2014. We linked these data to national Gini indices of income inequality for every life year from 1979 to 2014. The results showed that exposure to income inequality from 0 to 4 years predicted psychosomatic symptoms and lower life satisfaction in females after controlling lifetime mean income inequality, national per capita income, family affluence, age, and cohort and period effects. The cumulative income inequality exposure in infancy and childhood (i.e., average Gini index from birth to age 10) related to lower life satisfaction in female adolescents but not to symptoms. Finally, individual trajectories in early-life inequality (i.e., linear slopes in Gini indices from birth to 10 years) related to fewer symptoms and higher life satisfaction in females, indicating that earlier exposures mattered more to predicting health and wellbeing. No such associations with early-life income inequality were found in males. These results help to establish the antecedent-consequence conditions in the association between income inequality and health and suggest that both the magnitude and timing of income inequality in early life have developmental consequences that manifest in reduced health and well-being in adolescent girls

  2. Embodying 'health citizenship' in health knowledge to fight health inequalities

    Directory of Open Access Journals (Sweden)

    Danielle Groleau

    2011-10-01

    Full Text Available This paper wishes to contribute to the debate around citizen participation in health system decision-making that has been present internationally for the last 30 years. I argue that if we aim to change health inequalities, health professionals and planners need to understand the illness and health service experience of citizens. The concept of 'health citizenship' introduced here refers to health knowledge that integrates the lay knowledge of patients and that this integration is translated into health actions such as clinical communication and the planning of health care, programs, and policy. We illustrate our argument with the two cases: health literacy and the promotion of breastfeeding in a Canadian population living in context of poverty. This paper then concludes by addressing the leadership role, Brazilian graduate nursing schools can play in promoting 'health citizenship' and by doing so, contribute to fight health inequalities.

  3. [Implicit value judgments in the measurement of health inequalities].

    Science.gov (United States)

    Harper, Sam; King, Nicholas B; Meersman, Stephen C; E Reichman, Marsha; Breen, Nancy; Lynch, John

    2014-04-01

    Quantitative estimates of the magnitude, direction, and rate of change of health inequalities play a crucial role in creating and assessing policies aimed at eliminating the disproportionate burden of disease in disadvantaged populations. It is generally assumed that the measurement of health inequalities is a value-neutral process, providing objective data that are then interpreted using normative judgments about whether a particular distribution of health is just, fair, or socially acceptable. We discuss five examples in which normative judgments play a role in the measurement process itself, through either the selection of one measurement strategy to the exclusion of others or the selection of the type, significance, or weight assigned to the variables being measured. Overall, we find that many commonly used measures of inequality are value laden and that the normative judgments implicit in these measures have important consequences for interpreting and responding to health inequalities. Because values implicit in the generation of health inequality measures may lead to radically different interpretations of the same underlying data,we urge researchers to explicitly consider and transparently discuss the normative judgments underlying their measures. We also urge policymakers and other consumers of health inequalities data to pay close attention to the measures on which they base their assessments of current and future health policies.

  4. Implicit value judgments in the measurement of health inequalities.

    Science.gov (United States)

    Harper, Sam; King, Nicholas B; Meersman, Stephen C; Reichman, Marsha E; Breen, Nancy; Lynch, John

    2010-03-01

    Quantitative estimates of the magnitude, direction, and rate of change of health inequalities play a crucial role in creating and assessing policies aimed at eliminating the disproportionate burden of disease in disadvantaged populations. It is generally assumed that the measurement of health inequalities is a value-neutral process, providing objective data that are then interpreted using normative judgments about whether a particular distribution of health is just, fair, or socially acceptable. We discuss five examples in which normative judgments play a role in the measurement process itself, through either the selection of one measurement strategy to the exclusion of others or the selection of the type, significance, or weight assigned to the variables being measured. Overall, we find that many commonly used measures of inequality are value laden and that the normative judgments implicit in these measures have important consequences for interpreting and responding to health inequalities. Because values implicit in the generation of health inequality measures may lead to radically different interpretations of the same underlying data, we urge researchers to explicitly consider and transparently discuss the normative judgments underlying their measures. We also urge policymakers and other consumers of health inequalities data to pay close attention to the measures on which they base their assessments of current and future health policies.

  5. Are health inequalities rooted in the past? Income inequalities in metabolic syndrome decomposed by childhood conditions

    Science.gov (United States)

    San Sebastian, Miguel; Ivarsson, Anneli; Weinehall, Lars; Gustafsson, Per E.

    2017-01-01

    Abstract Background: Early life is thought of as a foundation for health inequalities in adulthood. However, research directly examining the contribution of childhood circumstances to the integrated phenomenon of adult social inequalities in health is absent. The present study aimed to examine whether, and to what degree, social conditions during childhood explain income inequalities in metabolic syndrome in mid-adulthood. Methods: The sample (N = 12 481) comprised all 40- and 50-year-old participants in the Västerbotten Intervention Program in Northern Sweden 2008, 2009 and 2010. Measures from health examinations were used to operationalize metabolic syndrome, which was linked to register data including socioeconomic conditions at age 40–50 years, as well as childhood conditions at participant age 10–12 years. Income inequality in metabolic syndrome in middle age was estimated by the concentration index and decomposed by childhood and current socioeconomic conditions using decomposition analysis. Results: Childhood conditions jointed explained 7% (men) to 10% (women) of health inequalities in middle age. Adding mid-adulthood sociodemographic factors showed a dominant contribution of chiefly current income and educational level in both gender. In women, the addition of current factors slightly attenuated the contribution of childhood conditions, but with paternal income and education still contributing. In contrast, the corresponding addition in men removed all explanation attributable to childhood conditions. Conclusions: Despite that the influence of early life conditions to adult health inequalities was considerably smaller than that of concurrent conditions, the study suggests that early interventions against social inequalities potentially could reduce health inequalities in the adult population for decades to come. PMID:27744345

  6. Changes in income inequality and the health of immigrants

    Science.gov (United States)

    Hamilton, Tod G.; Kawachi, Ichiro

    2016-01-01

    Research suggests that income inequality is inversely associated with health. This association has been documented in studies that utilize variation in income inequality across countries or across time from a single country. The primary criticism of these approaches is their inability to account for potential confounders that are associated with income inequality. This paper uses variation in individual experiences of income inequality among immigrants within the United States (U.S.) to evaluate whether individuals who moved from countries with greater income inequality than the U.S. have better health than those who migrated from countries with less income in equality than the U.S. Utilizing individual-level (March Current Population Survey) and country-level data (the United Nations Human Development Reports), we show that among immigrants who have resided in the U.S. between 6 and 20 years, self-reported health is more favorable for the immigrants in the former category (i.e., greater income inequality) than those in the latter (i.e., lower income inequality). Results also show that self-reported health is better among immigrants from more developed countries and those who have more years of education, are male, and are married. PMID:23352417

  7. Social inequality in health, responsibility and egalitarian justice.

    Science.gov (United States)

    Marchman Andersen, M; Oksbjerg Dalton, S; Lynch, J; Johansen, C; Holtug, N

    2013-03-01

    Are social inequalities in health unjust when brought about by differences in lifestyle? A widespread idea, luck egalitarianism, is that inequality stemming from individuals' free choices is not to be considered unjust, since individuals, presumably, are themselves responsible for such choices. Thus, to the extent that lifestyles are in fact results of free choices, social inequality in health brought about by these choices is not in tension with egalitarian justice. If this is so, then it may put in question the justification of free and equal access to health care and existing medical research priorities. However, personal responsibility is a highly contested issue and in this article we first consider the case for, and second the case against, personal responsibility for health in light of recent developments in philosophical accounts of responsibility and equality. We suggest-but do not fully establish-that at the most fundamental level people are never responsible in such a way that appeals to individuals' own responsibility can justify inequalities in health.

  8. Lies, Damned Lies, and Health Inequality Measurements

    Science.gov (United States)

    Gerdtham, Ulf-G; Petrie, Dennis

    2015-01-01

    Measuring and monitoring socioeconomic health inequalities are critical for understanding the impact of policy decisions. However, the measurement of health inequality is far from value neutral, and one can easily present the measure that best supports one’s chosen conclusion or selectively exclude measures. Improving people’s understanding of the often implicit value judgments is therefore important to reduce the risk that researchers mislead or policymakers are misled. While the choice between relative and absolute inequality is already value laden, further complexities arise when, as is often the case, health variables have both a lower and upper bound, and thus can be expressed in terms of either attainments or shortfalls, such as for mortality/survival. We bring together the recent parallel discussions from epidemiology and health economics regarding health inequality measurement and provide a deeper understanding of the different value judgments within absolute and relative measures expressed both in attainments and shortfalls, by graphically illustrating both hypothetical and real examples. We show that relative measures in terms of attainments and shortfalls have distinct value judgments, highlighting that for health variables with two bounds the choice is no longer only between an absolute and a relative measure but between an absolute, an attainment- relative and a shortfall-relative one. We illustrate how these three value judgments can be combined onto a single graph which shows the rankings according to all three measures, and illustrates how the three measures provide ethical benchmarks against which to judge the difference in inequality between populations. PMID:26133019

  9. Gender (inequality among employees in elder care: implications for health

    Directory of Open Access Journals (Sweden)

    Elwér Sofia

    2012-01-01

    Full Text Available Abstract Introduction Gendered practices of working life create gender inequalities through horizontal and vertical gender segregation in work, which may lead to inequalities in health between women and men. Gender equality could therefore be a key element of health equity in working life. Our aim was to analyze what gender (inequality means for the employees at a woman-dominated workplace and discuss possible implications for health experiences. Methods All caregiving staff at two workplaces in elder care within a municipality in the north of Sweden were invited to participate in the study. Forty-five employees participated, 38 women and 7 men. Seven focus group discussions were performed and led by a moderator. Qualitative content analysis was used to analyze the focus groups. Results We identified two themes. "Advocating gender equality in principle" showed how gender (inequality was seen as a structural issue not connected to the individual health experiences. "Justifying inequality with individualism" showed how the caregivers focused on personalities and interests as a justification of gender inequalities in work division. The justification of gender inequality resulted in a gendered work division which may be related to health inequalities between women and men. Gender inequalities in work division were primarily understood in terms of personality and interests and not in terms of gender. Conclusion The health experience of the participants was affected by gender (inequality in terms of a gendered work division. However, the participants did not see the gendered work division as a gender equality issue. Gender perspectives are needed to improve the health of the employees at the workplaces through shifting from individual to structural solutions. A healthy-setting approach considering gender relations is needed to achieve gender equality and fairness in health status between women and men.

  10. Health inequity

    DEFF Research Database (Denmark)

    Frausing, Kristian Park; Smærup, Michael; Maibom, Kirsten

    living alone. Social and psychological needs were of primary concern whereas practical needs were of lesser concern. The second study showed older men living alone with no/short education to rate their health significantly worse on almost all items compared to men of higher education. The third study......Background: Being male, living alone and being of low socioeconomic status (SES) are all risk factors for health inequities, including a shorter lifespan. Not much is known, however, about older low-SES men living alone. This study maps their health. Methods: Three studies were conducted. First......, an electronic survey with municipal preventive home visitors nationwide inquiring into their perception of the health and needs of old men living alone. The second study compared older men's self-rated health according to their living arrangements and educational level using data from 29.791 older men from...

  11. Public awareness of income-related health inequalities in Ontario, Canada

    Directory of Open Access Journals (Sweden)

    Shankardass Ketan

    2012-05-01

    Full Text Available Abstract Introduction Continued action is needed to tackle health inequalities in Canada, as those of lower income continue to be at higher risk for a range of negative health outcomes. There is arguably a lack of political will to implement policy change in this respect. As a result, we investigated public awareness of income-related health inequalities in a generally representative sample of Ontarians in late 2010. Methods Data were collected from 2,006 Ontario adults using a telephone survey. The survey asked participants to agree or disagree with various statements asserting that there are or are not health inequalities in general and by income in Ontario, including questions pertaining to nine specific conditions for which inequalities have been described in Ontario. A multi-stage process using binary logistic regression determined whether awareness of health inequalities differed between participant subgroups. Results Almost 73% of this sample of Ontarians agreed with the general premise that not all people are equally healthy in Ontario, but fewer participants were aware of health inequalities between the rich and the poor (53%–64%, depending on the framing of the question. Awareness of income-related inequalities in specific outcomes was considerably lower, ranging from 18% for accidents to 35% for obesity. Conclusions This is the first province-wide study in Canada, and the first in Ontario, to explore public awareness on health inequalities. Given that political will is shaped by public awareness and opinion, these results suggest that greater awareness may be required to move the health equity agenda forward in Ontario. There is a need for health equity advocates, physicians and researchers to increase the effectiveness of knowledge translation activities for studies that identify and explore health inequalities.

  12. Global oral health inequalities: task group--implementation and delivery of oral health strategies

    DEFF Research Database (Denmark)

    Sheiham, A; Alexander, D; Cohen, L

    2011-01-01

    This paper reviews the shortcomings of present approaches to reduce oral diseases and inequalities, details the importance of social determinants, and links that to research needs and policies on implementation of strategies to reduce oral health inequalities. Inequalities in health...... their environment. There is a dearth of oral health research on social determinants that cause health-compromising behaviors and on risk factors common to some chronic diseases. The gap between what is known and implemented by other health disciplines and the dental fraternity needs addressing. To re-orient oral...... strategies tailored to determinants and needs of each group along the social gradient. Approaches focusing mainly on downstream lifestyle and behavioral factors have limited success in reducing health inequalities. They fail to address social determinants, for changing people's behaviors requires changing...

  13. Province-Level Income Inequality and Health Outcomes in Canadian Adolescents

    Science.gov (United States)

    McGrath, Jennifer J.

    2015-01-01

    Objective To examine the effects of provincial income inequality (disparity between rich and poor), independent of provincial income and family socioeconomic status, on multiple adolescent health outcomes. Methods Participants (aged 12–17 years; N = 11,899) were from the Canadian National Longitudinal Survey of Children and Youth. Parental education, household income, province income inequality, and province mean income were measured. Health outcomes were measured across a number of domains, including self-rated health, mental health, health behaviors, substance use behaviors, and physical health. Results Income inequality was associated with injuries, general physical symptoms, and limiting conditions, but not associated with most adolescent health outcomes and behaviors. Income inequality had a moderating effect on family socioeconomic status for limiting conditions, hyperactivity/inattention, and conduct problems, but not for other outcomes. Conclusions Province-level income inequality was associated with some physical and mental health outcomes in adolescents, which has research and policy implications for this age-group. PMID:25324533

  14. Income, Wealth and Health Inequalities — A Scottish Social Justice Perspective

    Directory of Open Access Journals (Sweden)

    Elspeth Molony

    2016-04-01

    Full Text Available This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland’s vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice—health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare.

  15. Income, Wealth and Health Inequalities — A Scottish Social Justice Perspective

    Science.gov (United States)

    Molony, Elspeth; Duncan, Christine

    2016-01-01

    This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland's vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice—health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare. PMID:29546160

  16. Global oral health inequalities: the view from a research funder.

    Science.gov (United States)

    Garcia, I; Tabak, L A

    2011-05-01

    Despite impressive worldwide improvements in oral health, inequalities in oral health status among and within countries remain a daunting public health challenge. Oral health inequalities arise from a complex web of health determinants, including social, behavioral, economic, genetic, environmental, and health system factors. Eliminating these inequalities cannot be accomplished in isolation of oral health from overall health, or without recognizing that oral health is influenced at multiple individual, family, community, and health systems levels. For several reasons, this is an opportune time for global efforts targeted at reducing oral health inequalities. Global health is increasingly viewed not just as a humanitarian obligation, but also as a vehicle for health diplomacy and part of the broader mission to reduce poverty, build stronger economies, and strengthen global security. Despite the global economic recession, there are trends that portend well for support of global health efforts: increased globalization of research and development, growing investment from private philanthropy, an absolute growth of spending in research and innovation, and an enhanced interest in global health among young people. More systematic and far-reaching efforts will be required to address oral health inequalities through the engagement of oral health funders and sponsors of research, with partners from multiple public and private sectors. The oral health community must be "at the table" with other health disciplines and create opportunities for eliminating inequalities through collaborations that can harness both the intellectual and financial resources of multiple sectors and institutions.

  17. Environmental justice and health practices: understanding how health inequities arise at the local level.

    Science.gov (United States)

    Frohlich, Katherine L; Abel, Thomas

    2014-02-01

    While empirical evidence continues to show that people living in low socio-economic status neighbourhoods are less likely to engage in health-enhancing behaviour, our understanding of why this is so remains less than clear. We suggest that two changes could take place to move from description to understanding in this field; (i) a move away from the established concept of individual health behaviour to a contextualised understanding of health practices; and (ii) a switch from focusing on health inequalities in outcomes to health inequities in conditions. We apply Pierre Bourdieu's theory on capital interaction but find it insufficient with regard to the role of agency for structural change. We therefore introduce Amartya Sen's capability approach as a useful link between capital interaction theory and action to reduce social inequities in health-related practices. Sen's capability theory also elucidates the importance of discussing unequal chances in terms of inequity, rather than inequality, in order to underscore the moral nature of inequalities. We draw on the discussion in social geography on environmental injustice, which also underscores the moral nature of the spatial distribution of opportunities. The article ends by applying this approach to the 'Interdisciplinary study of inequalities in smoking' framework. © 2013 The Authors. Sociology of Health & Illness © 2013 Foundation for the Sociology of Health & Illness/John Wiley & Sons Ltd.

  18. Rethinking the health selection explanation for health inequalities.

    Science.gov (United States)

    West, P

    1991-01-01

    As one of several explanations for class differentials in health, health selection has received remarkably little systematic attention in the inequalities debate. It is widely regarded as having (at best) a very minor role in the production of inequalities, and a theoretical debt to social Darwinism. This paper examines the validity of those assumptions in terms of the evidence which has emerged since the publication of the 'Black Report'. It is suggested that it is too easy to write off health selection as of little or no significance, and that reconceptualising the issue within a specifically sociological perspective owing much to labelling theory offers much greater potential for understanding the processes involved. From this perspective, health selection has many of the features of discrimination of the sort that characterises race and sex.

  19. Changes in income inequality and the health of immigrants.

    Science.gov (United States)

    Hamilton, Tod G; Kawachi, Ichiro

    2013-03-01

    Research suggests that income inequality is inversely associated with health. This association has been documented in studies that utilize variation in income inequality across countries or across time from a single country. The primary criticism of these approaches is their inability to account for potential confounders that are associated with income inequality. This paper uses variation in individual experiences of income inequality among immigrants within the United States (U.S.) to evaluate whether individuals who moved from countries with greater income inequality than the U.S. have better health than those who migrated from countries with less income in equality than the U.S. Utilizing individual-level (March Current Population Survey) and country-level data (the United Nations Human Development Reports), we show that among immigrants who have resided in the U.S. between 6 and 20 years, self-reported health is more favorable for the immigrants in the former category (i.e., greater income inequality) than those in the latter (i.e., lower income inequality). Results also show that self-reported health is better among immigrants from more developed countries and those who have more years of education, are male, and are married. Copyright © 2012. Published by Elsevier Ltd.

  20. Income-related inequality in health and health-related behaviour: exploring the equalisation hypothesis.

    Science.gov (United States)

    Vallejo-Torres, Laura; Hale, Daniel; Morris, Stephen; Viner, Russell M

    2014-07-01

    Previous studies have found the socioeconomic gradient in health among adolescents to be lower than that observed during childhood and adulthood. The aim of this study was to examine income-related inequalities in health and health-related behaviour across the lifespan in England to explore 'equalisation' in adolescence. We used five years of data (2006-2010) from the Health Survey for England to explore inequalities in six indicators: self-assessed general health, longstanding illness, limiting longstanding illness, psychosocial wellbeing, obesity and smoking status. We ran separate analyses by age/gender groups. Inequality was measured using concentration indices. Our findings for longstanding illnesses, psychosocial wellbeing and obesity were consistent with the equalisation hypothesis. For these indicators, the extent of income-related inequality was lower among late adolescents (16-19 years) and young adults (20-24 years) compared to children and young adolescents (under 15 years), mid- and late-adults (25-44 and 45-64 years) and the elderly (65+ years). The remaining indicators showed lower inequality among adolescents compared to adults, but higher inequality when compared with children. Our work shows that inequalities occur across the life-course but that for some health issues there may be a period of equalisation in late adolescence and early adulthood. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  1. Multilevel survival analysis of health inequalities in life expectancy

    Directory of Open Access Journals (Sweden)

    Merlo Juan

    2009-08-01

    Full Text Available Abstract Background The health status of individuals is determined by multiple factors operating at both micro and macro levels and the interactive effects of them. Measures of health inequalities should reflect such determinants explicitly through sources of levels and combining mean differences at group levels and the variation of individuals, for the benefits of decision making and intervention planning. Measures derived recently from marginal models such as beta-binomial and frailty survival, address this issue to some extent, but are limited in handling data with complex structures. Beta-binomial models were also limited in relation to measuring inequalities of life expectancy (LE directly. Methods We propose a multilevel survival model analysis that estimates life expectancy based on survival time with censored data. The model explicitly disentangles total health inequalities in terms of variance components of life expectancy compared to the source of variation at the level of individuals in households and parishes and so on, and estimates group differences of inequalities at the same time. Adjusted distributions of life expectancy by gender and by household socioeconomic level are calculated. Relative and absolute health inequality indices are derived based on model estimates. The model based analysis is illustrated on a large Swedish cohort of 22,680 men and 26,474 women aged 65–69 in 1970 and followed up for 30 years. Model based inequality measures are compared to the conventional calculations. Results Much variation of life expectancy is observed at individual and household levels. Contextual effects at Parish and Municipality level are negligible. Women have longer life expectancy than men and lower inequality. There is marked inequality by the level of household socioeconomic status measured by the median life expectancy in each socio-economic group and the variation in life expectancy within each group. Conclusion Multilevel

  2. Absolute and Relative Socioeconomic Health Inequalities across Age Groups

    NARCIS (Netherlands)

    van Zon, Sander K. R.; Bultmann, Ute; de Leon, Carlos F. Mendes; Reijneveld, Sijmen A.

    2015-01-01

    Background The magnitude of socioeconomic health inequalities differs across age groups. It is less clear whether socioeconomic health inequalities differ across age groups by other factors that are known to affect the relation between socioeconomic position and health, like the indicator of

  3. A comparison of health inequalities in urban and rural Scotland.

    Science.gov (United States)

    Levin, Kate A; Leyland, Alastair H

    2006-03-01

    Previous research suggests that there are significant differences in health between urban and rural areas. Health inequalities between the deprived and affluent in Scotland have been rising over time. The aim of this study was to examine health inequalities between deprived and affluent areas of Scotland for differing ruralities and look at how these have changed over time. Postcode sectors in Scotland were ranked by deprivation and the 20% most affluent and 20% most deprived areas were found using the Carstairs indicator and male unemployment. Scotland was then split into 4 rurality types. Ratios of health status between the most deprived and most affluent areas were investigated using all cause mortality for the Scottish population, 1979-2001. These were calculated over time for 1979-1983, 1989-1993, 1998-2001. Multilevel Poisson modelling was carried out for all of Scotland excluding Grampian to assess inequalities in the population. There was an increase in inequalities between 1981 and 2001, which was greatest in remote rural Scotland for both males and females; however, male health inequalities remained higher in urban areas throughout this period. In 2001 female health inequalities were higher in remote rural areas than urban areas. Health inequalities amongst the elderly (age 65+) in 2001 were greater in remote rural Scotland than urban areas for both males and females.

  4. Inequalities in South African health care: Part I. The problem ...

    African Journals Online (AJOL)

    This exposition analyses and contextualises the complex problem of structural inequality in South African health care. Socio-econornic conditions, racial divisions and geographical location are isolated as the main determinants of inequality in the provision, allocation and distribution of health care; the prevailing inequalities ...

  5. Health-income inequality: the effects of the Icelandic economic collapse

    Science.gov (United States)

    2014-01-01

    Introduction Health-income inequality has been the focus of many studies. The relationship between economic conditions and health has also been widely studied. However, not much is known about how changes in aggregate economic conditions relate to health-income inequality. Nevertheless, such knowledge would have both scientific and practical value as substantial public expenditures are used to decrease such inequalities and opportunities to do so may differ over the business cycle. For this reason we examine the effect of the Icelandic economic collapse in 2008 on health-income inequality. Methods The data used come from a health and lifestyle survey carried out by the Public Health Institute of Iceland in 2007 and 2009. A stratified random sample of 9,807 individuals 18–79 years old received questionnaires and a total of 42.1% answered in both years. As measures of health-income inequality, health-income concentration indices are calculated and decomposed into individual-level determinants. Self-assessed health is used as the health measure in the analyses, but three different measures of income are used: individual income, household income, and equivalized household income. Results In both years there is evidence of health-income inequality favoring the better off. However, changes are apparent between years. For males health-income inequality increases after the crisis while it remains fairly stable for females or slightly decreases. The decomposition analyses show that income itself and disability constitute the most substantial determinants of inequality. The largest increases in contributions between years for males come from being a student, having low education and being obese, as well as age and income but those changes are sensitive to the income measure used. Conclusions Changes in health and income over the business cycle can differ across socioeconomic strata, resulting in cyclicality of income-related health distributions. As substantial fiscal

  6. Health-income inequality: the effects of the Icelandic economic collapse.

    Science.gov (United States)

    Asgeirsdóttir, Tinna Laufey; Ragnarsdóttir, Dagný Osk

    2014-07-25

    Health-income inequality has been the focus of many studies. The relationship between economic conditions and health has also been widely studied. However, not much is known about how changes in aggregate economic conditions relate to health-income inequality. Nevertheless, such knowledge would have both scientific and practical value as substantial public expenditures are used to decrease such inequalities and opportunities to do so may differ over the business cycle. For this reason we examine the effect of the Icelandic economic collapse in 2008 on health-income inequality. The data used come from a health and lifestyle survey carried out by the Public Health Institute of Iceland in 2007 and 2009. A stratified random sample of 9,807 individuals 18-79 years old received questionnaires and a total of 42.1% answered in both years. As measures of health-income inequality, health-income concentration indices are calculated and decomposed into individual-level determinants. Self-assessed health is used as the health measure in the analyses, but three different measures of income are used: individual income, household income, and equivalized household income. In both years there is evidence of health-income inequality favoring the better off. However, changes are apparent between years. For males health-income inequality increases after the crisis while it remains fairly stable for females or slightly decreases. The decomposition analyses show that income itself and disability constitute the most substantial determinants of inequality. The largest increases in contributions between years for males come from being a student, having low education and being obese, as well as age and income but those changes are sensitive to the income measure used. Changes in health and income over the business cycle can differ across socioeconomic strata, resulting in cyclicality of income-related health distributions. As substantial fiscal expenditures go to limiting the relationship

  7. Province-level income inequality and health outcomes in Canadian adolescents.

    Science.gov (United States)

    Quon, Elizabeth C; McGrath, Jennifer J

    2015-03-01

    To examine the effects of provincial income inequality (disparity between rich and poor), independent of provincial income and family socioeconomic status, on multiple adolescent health outcomes. Participants (aged 12-17 years; N = 11,899) were from the Canadian National Longitudinal Survey of Children and Youth. Parental education, household income, province income inequality, and province mean income were measured. Health outcomes were measured across a number of domains, including self-rated health, mental health, health behaviors, substance use behaviors, and physical health. Income inequality was associated with injuries, general physical symptoms, and limiting conditions, but not associated with most adolescent health outcomes and behaviors. Income inequality had a moderating effect on family socioeconomic status for limiting conditions, hyperactivity/inattention, and conduct problems, but not for other outcomes. Province-level income inequality was associated with some physical and mental health outcomes in adolescents, which has research and policy implications for this age-group. © The Author 2014. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  8. Income inequality and health in China: A panel data analysis.

    Science.gov (United States)

    Bakkeli, Nan Zou

    2016-05-01

    During the last decades, the level of income inequality in China has increased dramatically. Despite rapid economic growth and improved living conditions, the health performance in China has dropped compared to the period before the economic reform. The "Wilkinson hypothesis" suggests that increased income inequality in a society is correlated to worse health performance. China is a particular interesting case due to the rapid socioeconomic change in the country. This study uses the China Health and Nutrition Survey (CHNS) to address the question of whether income inequality has an impact on individuals' risks of having health problems in China. Unlike previous studies with health measures such as self-reported health or mortality rate, our study uses physical functions to measure individual health. By analysing panel data using county/city-level dummies and year fixed-effects, we found that income inequality does not have a significant impact on individuals' risks of having health problems. This result is robust when changing between different indicators for income inequality. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. Summarizing health inequalities in a Balanced Scorecard. Methodological considerations.

    Science.gov (United States)

    Auger, Nathalie; Raynault, Marie-France

    2006-01-01

    The association between social determinants and health inequalities is well recognized. What are now needed are tools to assist in disseminating such information. This article describes how the Balanced Scorecard may be used for summarizing data on health inequalities. The process begins by selecting appropriate social groups and indicators, and is followed by the measurement of differences across person, place, or time. The next step is to decide whether to focus on absolute versus relative inequality. The last step is to determine the scoring method, including whether to address issues of depth of inequality.

  10. Macroeconomic policies and increasing social-health inequality in Iran.

    Science.gov (United States)

    Zaboli, Rouhollah; Seyedin, Seyed Hesam; Malmoon, Zainab

    2014-08-01

    Health is a complex phenomenon that can be studied from different approaches. Despite a growing research in the areas of Social Determinants of Health (SDH) and health equity, effects of macroeconomic policies on the social aspect of health are unknown in developing countries. This study aimed to determine the effect of macroeconomic policies on increasing of the social-health inequality in Iran. This study was a mixed method research. The study population consisted of experts dealing with social determinants of health. A purposive, stratified and non-random sampling method was used. Semi-structured interviews were conducted to collect the data along with a multiple attribute decision-making method for the quantitative phase of the research in which the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed for prioritization. The NVivo and MATLAB softwares were used for data analysis. Seven main themes for the effect of macroeconomic policies on increasing the social-health inequality were identified. The result of TOPSIS approved that the inflation and economic instability exert the greatest impact on social-health inequality, with an index of 0.710 and the government policy in paying the subsidies with a 0.291 index has the lowest impact on social-health inequality in the country. It is required to invest on the social determinants of health as a priority to reduce health inequality. Also, evaluating the extent to which the future macroeconomic policies impact the health of population is necessary.

  11. Do Socioeconomic Inequalities in Neonatal Mortality Reflect Inequalities in Coverage of Maternal Health Services? Evidence from 48 Low- and Middle-Income Countries.

    Science.gov (United States)

    McKinnon, Britt; Harper, Sam; Kaufman, Jay S

    2016-02-01

    To examine socioeconomic and health system determinants of wealth-related inequalities in neonatal mortality rates (NMR) across 48 low- and middle-income countries. We used data from Demographic and Health Surveys conducted between 2006 and 2012. Absolute and relative inequalities for NMR and coverage of antenatal care, facility-based delivery, and Caesarean delivery were measured using the Slope Index of Inequality and Relative Index of Inequality, respectively. Meta-regression was used to assess whether variation in the magnitude of NMR inequalities was associated with inequalities in coverage of maternal health services, and whether country-level economic and health system factors were associated with mean NMR and socioeconomic inequality in NMR. Of the three maternal health service indicators examined, the magnitude of socioeconomic inequality in NMR was most strongly related to inequalities in antenatal care. NMR inequality was greatest in countries with higher out-of-pocket health expenditures, more doctors per capita, and a higher adolescent fertility rate. Determinants of lower mean NMR (e.g., higher government health expenditures and a greater number of nurses/midwives per capita) differed from factors associated with lower NMR inequality. Reducing the financial burden of maternal health services and achieving universal coverage of antenatal care may contribute to a reduction in socioeconomic differences in NMR. Further investigation of the mechanisms contributing to these cross-national associations seems warranted.

  12. Health impacts of climate change and health and social inequalities in the UK.

    Science.gov (United States)

    Paavola, Jouni

    2017-12-05

    This article examines how social and health inequalities shape the health impacts of climate change in the UK, and what the implications are for climate change adaptation and health care provision. The evidence generated by the other articles of the special issue were interpreted using social justice reasoning in light of additional literature, to draw out the key implications of health and social inequalities for health outcomes of climate change. Exposure to heat and cold, air pollution, pollen, food safety risks, disruptions to access to and functioning of health services and facilities, emerging infections and flooding are examined as the key impacts of climate change influencing health outcomes. Age, pre-existing medical conditions and social deprivation are found to be the key (but not only) factors that make people vulnerable and to experience more adverse health outcomes related to climate change impacts. In the future, climate change, aging population and decreasing public spending on health and social care may aggravate inequality of health outcomes related to climate change. Health education and public preparedness measures that take into account differential exposure, sensitivity and adaptive capacity of different groups help address health and social inequalities to do with climate change. Adaptation strategies based on individual preparedness, action and behaviour change may aggravate health and social inequalities due to their selective uptake, unless they are coupled with broad public information campaigns and financial support for undertaking adaptive measures.

  13. Measuring total health inequality: adding individual variation to group-level differences

    Directory of Open Access Journals (Sweden)

    Gakidou Emmanuela

    2002-08-01

    Full Text Available Abstract Background Studies have revealed large variations in average health status across social, economic, and other groups. No study exists on the distribution of the risk of ill-health across individuals, either within groups or across all people in a society, and as such a crucial piece of total health inequality has been overlooked. Some of the reason for this neglect has been that the risk of death, which forms the basis for most measures, is impossible to observe directly and difficult to estimate. Methods We develop a measure of total health inequality – encompassing all inequalities among people in a society, including variation between and within groups – by adapting a beta-binomial regression model. We apply it to children under age two in 50 low- and middle-income countries. Our method has been adopted by the World Health Organization and is being implemented in surveys around the world; preliminary estimates have appeared in the World Health Report (2000. Results Countries with similar average child mortality differ considerably in total health inequality. Liberia and Mozambique have the largest inequalities in child survival, while Colombia, the Philippines and Kazakhstan have the lowest levels among the countries measured. Conclusions Total health inequality estimates should be routinely reported alongside average levels of health in populations and groups, as they reveal important policy-related information not otherwise knowable. This approach enables meaningful comparisons of inequality across countries and future analyses of the determinants of inequality.

  14. Capacity building for health inequality monitoring in Indonesia: enhancing the equity orientation of country health information system.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Nambiar, Devaki; Tawilah, Jihane; Schlotheuber, Anne; Briot, Benedicte; Bateman, Massee; Davey, Tamzyn; Kusumawardani, Nunik; Myint, Theingi; Nuryetty, Mariet Tetty; Prasetyo, Sabarinah; Suparmi; Floranita, Rustini

    Inequalities in health represent a major problem in many countries, including Indonesia. Addressing health inequality is a central component of the Sustainable Development Goals and a priority of the World Health Organization (WHO). WHO provides technical support for health inequality monitoring among its member states. Following a capacity-building workshop in the WHO South-East Asia Region in 2014, Indonesia expressed interest in incorporating health-inequality monitoring into its national health information system. This article details the capacity-building process for national health inequality monitoring in Indonesia, discusses successes and challenges, and how this process may be adapted and implemented in other countries/settings. We outline key capacity-building activities undertaken between April 2016 and December 2017 in Indonesia and present the four key outcomes of this process. The capacity-building process entailed a series of workshops, meetings, activities, and processes undertaken between April 2016 and December 2017. At each stage, a range of stakeholders with access to the relevant data and capacity for data analysis, interpretation and reporting was engaged with, under the stewardship of state agencies. Key steps to strengthening health inequality monitoring included capacity building in (1) identification of the health topics/areas of interest, (2) mapping data sources and identifying gaps, (3) conducting equity analyses using raw datasets, and (4) interpreting and reporting inequality results. As a result, Indonesia developed its first national report on the state of health inequality. A number of peer-reviewed manuscripts on various aspects of health inequality in Indonesia have also been developed. The capacity-building process undertaken in Indonesia is designed to be adaptable to other contexts. Capacity building for health inequality monitoring among countries is a critical step for strengthening equity-oriented national health

  15. Measuring health inequalities over time

    Directory of Open Access Journals (Sweden)

    Gustavo Bergonzoli

    2007-11-01

    Full Text Available Background: several methodologies have been used to measure health inequalities. Most of them do so in a cross- sectional fashion, causing significant loss of information. None of them measure health inequalities in social territories over time. Methods: this article presents two approaches measure health inequalities: one approach consists of a refinement of cross-sectional study, by using the analysis of ANOVA variance (ANOVA procedure to explore whether the gap between social territories is real or due to chance. Several adjustments were made to limit errors inevitably found in multiple comparisons. Polynomial procedures were then applied to identify and evaluate any trends. The second sociales se utilizó approach measures the health gap between social territories or strata (as defined in this study over time using the Poisson regression. These approaches were applied using life expectancy and maternal mortality data from Venezuela. Results: a positive relationship between tendenterritories and life expectancy was found, with a significant cia linal trend. The relation between maternal mortality and materna y territorios sociales fue cuadrática. La medición desocial territories was quadratic. The measurement of the la brecha, gap between least developed social territory and the most, a developed territory showed a gap reduction from the first to the second decade, mainly because of an increase of territorio social maternal mortality in the more developed area, rather than a real improvement in the least developed. Conclusions: study helps to clarify the impact that public policies and interventions have in reducing the health gap. Knowledge that a health gap between social territories can decrease without showing improvement in the least developed sector , is an important finding for monitoring and evaluating health interventions for improving living and health conditions in the population.

  16. Structural racism in the workplace: Does perception matter for health inequalities?

    Science.gov (United States)

    McCluney, Courtney L; Schmitz, Lauren L; Hicken, Margaret T; Sonnega, Amanda

    2018-02-01

    Structural racism has been linked to racial health inequalities and may operate through an unequal labor market that results in inequalities in psychosocial workplace environments (PWE). Experiences of the PWE may be a critical but understudied source of racial health disparities as most adults spend a large portion of their lives in the workplace, and work-related stress affects health outcomes. Further, it is not clear if the objective characteristics of the workplace are important for health inequalities or if these inequalities are driven by the perception of the workplace. Using data from the 2008 to 2012 waves of the Health and Retirement Study (HRS), a probability-based sample of US adults 50 years of age and older and the Department of Labor's Occupational Information Network (O*NET), we examine the role of both standardized, objective (O*NET) and survey-based, subjective (as in HRS) measures of PWEs on health and Black-White health inequalities. We find that Blacks experience more stressful PWEs and have poorer health as measured by self-rated health, episodic memory function, and mean arterial pressure. Mediation analyses suggest that these objective O*NET ratings, but not the subjective perceptions, partially explain the relationship between race and health. We discuss these results within the extant literature on workplace and health and health inequalities. Furthermore, we discuss the use of standardized objective measures of the PWE to capture racial inequalities in workplace environment. Copyright © 2017 Elsevier Ltd. All rights reserved.

  17. Health trends in the wake of the financial crisis-increasing inequalities?

    Science.gov (United States)

    Nelson, Kenneth; Tøge, Anne Grete

    2017-08-01

    The financial crisis that hit Europe in 2007-2008 and the corresponding austerity policies have generated concern about increasing health inequalities, although impacts have been less salient than initially expected. One explanation could be that health inequalities emerged first a few years into the crisis. This study investigates health trends in the wake of the financial crisis and analyses health inequalities across a number of relevant population subgroups, including those defined by employment status, age, family type, gender, and educational attainment. This study uses individual-level panel data (EU-SILC, 2010-2013) to investigate trends in self-rated health. By applying individual fixed effects regression models, the study estimates the average yearly change in self-rated health for persons aged 15-64 years in 28 European countries. Health inequalities are investigated using stratified analyses. Unemployed respondents, particularly those who were unemployed in all years of observation, had a steeper decline in self-rated health than the employed. Respondents of prime working age (25-54 years) had a steeper decline than their younger (15-24) and older (55-64) counterparts, while single parents had a more favorable trend in self-rated health than dual parents. We did not observe any increasing health inequalities based on gender or educational attainment. Health inequalities increased in the wake of the financial crisis, especially those associated with employment status, age, and family type. We did not observe increasing health inequalities in terms of levels of educational attainment and gender.

  18. Socioeconomic inequalities in oral health in different European welfare state regimes.

    Science.gov (United States)

    Guarnizo-Herreño, Carol C; Watt, Richard G; Pikhart, Hynek; Sheiham, Aubrey; Tsakos, Georgios

    2013-09-01

    There is very little information about the relationship between welfare regimes and oral health inequalities. We compared socioeconomic inequalities in adults' oral health in five European welfare-state regimes: Scandinavian, Anglo-Saxon, Bismarckian, Southern and Eastern. Using data from the oral health module of the Eurobarometer 72.3 survey, we assessed inequalities in two self-reported oral health measures: no functional dentition (less than 20 natural teeth) and edentulousness (no natural teeth). Occupational social class, education and subjective social status (SSS) were included as socioeconomic position indicators. We estimated age-standardised prevalence rates, ORs, the Relative Index of Inequality (RII) and the Slope Index of Inequality (SII). The Scandinavian regime showed the lowest prevalence rates of the two oral health measures while the Eastern showed the highest. In all welfare regimes there was a general pattern of social gradients by occupational social class and education. Relative educational inequalities in no functional dentition were largest in the Scandinavian welfare regime (RII=3.81; 95% CI 2.68 to 5.42). The Scandinavian and Southern regimes showed the largest relative inequalities in edentulousness by occupation and education, respectively. There were larger absolute inequalities in no functional dentition in the Eastern regime by occupation (SII=42.16; 95% CI 31.42 to 52.89) and in the Southern by SSS (SII=27.92; 95% CI 17.36 to 38.47). Oral health inequalities in adults exist in all welfare-state regimes, but contrary to what may be expected from theory, they are not smaller in the Scandinavian regime. Future work should examine the potential mechanisms linking welfare provision and oral health inequalities.

  19. Gender (in)equality among employees in elder care: implications for health.

    Science.gov (United States)

    Elwér, Sofia; Aléx, Lena; Hammarström, Anne

    2012-01-04

    Gendered practices of working life create gender inequalities through horizontal and vertical gender segregation in work, which may lead to inequalities in health between women and men. Gender equality could therefore be a key element of health equity in working life. Our aim was to analyze what gender (in)equality means for the employees at a woman-dominated workplace and discuss possible implications for health experiences. All caregiving staff at two workplaces in elder care within a municipality in the north of Sweden were invited to participate in the study. Forty-five employees participated, 38 women and 7 men. Seven focus group discussions were performed and led by a moderator. Qualitative content analysis was used to analyze the focus groups. We identified two themes. "Advocating gender equality in principle" showed how gender (in)equality was seen as a structural issue not connected to the individual health experiences. "Justifying inequality with individualism" showed how the caregivers focused on personalities and interests as a justification of gender inequalities in work division. The justification of gender inequality resulted in a gendered work division which may be related to health inequalities between women and men. Gender inequalities in work division were primarily understood in terms of personality and interests and not in terms of gender. The health experience of the participants was affected by gender (in)equality in terms of a gendered work division. However, the participants did not see the gendered work division as a gender equality issue. Gender perspectives are needed to improve the health of the employees at the workplaces through shifting from individual to structural solutions. A healthy-setting approach considering gender relations is needed to achieve gender equality and fairness in health status between women and men.

  20. Does income inequality have lasting effects on health and trust?

    Science.gov (United States)

    Rözer, Jesper Jelle; Volker, Beate

    2016-01-01

    According to the income inequality hypothesis, income inequality is associated with poorer health. One important proposed mechanism for this effect is reduced trust. In this study, we argue that income inequality during a person's formative years (i.e., around age 16) may have lasting consequences for trust and health. Multilevel analyses of data from the combined World Values Survey and European Values Study that were collected between 1981 and 2014 support our prediction and show that income inequality is associated with ill health in young adults, in part because it reduces their social trust. The negative consequences of income inequality remain stable for a substantial period of life but eventually fade away and have no effect after age 36. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. Is Income Inequality a Determinant of Population Health? Part 1. A Systematic Review

    Science.gov (United States)

    Lynch, John; Smith, George Davey; Harper, Sam; Hillemeier, Marianne; Ross, Nancy; Kaplan, George A; Wolfson, Michael

    2004-01-01

    This article reviews 98 aggregate and multilevel studies examining the associations between income inequality and health. Overall, there seems to be little support for the idea that income inequality is a major, generalizable determinant of population health differences within or between rich countries. Income inequality may, however, directly influence some health outcomes, such as homicide in some contexts. The strongest evidence for direct health effects is among states in the United States, but even that is somewhat mixed. Despite little support for a direct effect of income inequality on health per se, reducing income inequality by raising the incomes of the most disadvantaged will improve their health, help reduce health inequalities, and generally improve population health. PMID:15016244

  2. The political context of social inequalities and health.

    Science.gov (United States)

    Navarro, V; Shi, L

    2001-01-01

    This analysis reflects on the importance of political parties, and the policies they implement when in government, in determining the level of equalities/inequalities in a society, the extent of the welfare state (including the level of health care coverage by the state), the employment/unemployment rate, and the level of population health. The study looks at the impact of the major political traditions in the advanced OECD countries during the golden years of capitalism (1945-1980)--social democratic, Christian democratic, liberal, and ex-fascist--in four areas: (1) the main determinants of income inequalities; (2) levels of public expenditures and health care benefits coverage; (3) public support of services to families; and (4) the level of population health as measured by infant mortality. The results indicate that political traditions more committed to redistributive policies (both economic and social) and full-employment policies, such as the social democratic parties, were generally more successful in improving the health of populations. The erroneous assumption of a conflict between social equity and economic efficiency is also discussed. The study aims at filling a void in the growing health and social inequalities literature, which rarely touches on the importance of political forces in influencing inequalities.

  3. Gender inequality: Bad for men's health

    African Journals Online (AJOL)

    2013-03-02

    Mar 2, 2013 ... have attributed this risk to men's poorer health-seeking behaviour, which may prevent them from accessing ART, being ... Gender inequality: Bad for men's health ..... New York: United Nations Development Programme, 2005.

  4. Political power and health inequalities in Vieques, Puerto Rico.

    Science.gov (United States)

    Medina, Catherine K; Pellegrini, Lawrence C; Mogro-Wilson, Cristina

    2014-01-01

    The relationship between political power and the various pathways to health inequalities in Vieques, Puerto Rico, is explored. The U.S. Navy used the island for 62 years for bombing and other military exercises. The article focuses on the resulting changes to the island's socioeconomic positioning and the health inequalities over six decades. Secondary data analysis of census data using a revised World Health Organization model is used to examine the relationships of political power, labor markets, employment, material deprivation, social and family networks, and health inequalities. Findings are interpreted through a social justice lens and implications suggest the use of political advocacy for social change.

  5. Occupational class inequalities in health across employment sectors: the contribution of working conditions.

    Science.gov (United States)

    Lahelma, Eero; Laaksonen, Mikko; Aittomäki, Akseli

    2009-01-01

    While health inequalities among employees are well documented, their variation and determinants among employee subpopulations are poorly understood. We examined variations in occupational class inequalities in health within four employment sectors and the contribution of working conditions to these inequalities. Cross-sectional data from the Helsinki Health Study in 2000-2002 were used. Each year, employees of the City of Helsinki, aged 40-60 years, received a mailed questionnaire (n = 8,960, 80% women, overall response rate for 3 years 67%). The outcome was physical health functioning measured by the overall physical component summary of SF-36. The socioeconomic indicator was occupational social class. Employment sectors studied were health care, education, social welfare and administration (n = 6,557). Physical and mental workload, and job demands and job control were explanatory factors. Inequality indices from logistic regression analysis were calculated. Occupational class inequalities in physical health functioning were slightly larger in education (1.47) than in the other sectors (1.43-1.40). Physical workload explained 95% of inequalities in social welfare and 32-36% in the other sectors. Job control also partly explained health inequalities. However, adjusting for mental workload and job demands resulted in larger health inequalities. Inequalities in physical health functioning were found within each employment sector, with minor variation in their magnitude. Physical workload was the main explanation for these inequalities, but its contribution varied between the sectors. In contrast, considering psychosocial working conditions led to wider inequalities. Improving physical working conditions among the lower occupational classes would help reduce health inequalities within different employment sectors.

  6. Analysing changes of health inequalities in the Nordic welfare states

    DEFF Research Database (Denmark)

    Lahelma, Eero; Kivelä, Katariina; Roos, Eva

    2002-01-01

    -standing illness and perceived health were analysed by age, gender, employment status and educational attainment. First, age-adjusted overall prevalence percentages were calculated. Second, changes in the magnitude of relative health inequalities were studied using logistic regression analysis. Within each country......This study examined changes over time in relative health inequalities among men and women in four Nordic countries, Denmark, Finland, Norway and Sweden. A serious economic recession burst out in the early 1990s particularly in Finland and Sweden. We ask whether this adverse social structural......'development influenced health inequalities by employment status and educational attainment, i.e. whether the trends in health inequalities were similar or dissimilar between the Nordic countries. The data derived from comparable interview surveys carried out in 1986/87 and 1994/95 in the four countries. Limiting long...

  7. Explaining the role of the social determinants of health on health inequality in South Africa

    Directory of Open Access Journals (Sweden)

    John Ele-Ojo Ataguba

    2015-09-01

    Full Text Available Background: Action on the social determinants of health (SDH is relevant for reducing health inequalities. This is particularly the case for South Africa (SA with its very high level of income inequality and inequalities in health and health outcomes. This paper provides evidence on the key SDH for reducing health inequalities in the country using a framework initially developed by the World Health Organization. Objective: This paper assesses health inequalities in SA and explains the factors (i.e. SDH and other individual level factors that account for large disparities in health. The relative contribution of different SDH to health inequality is also assessed. Design: A cross-sectional design is used. Data come from the third wave of the nationally representative National Income Dynamics Study. A subsample of adults (18 years and older is used. The main variable of interest is dichotomised good versus bad self-assessed health (SAH. Income-related health inequality is assessed using the standard concentration index (CI. A positive CI means that the rich report better health than the poor. A negative value signifies the opposite. The paper also decomposes the CI to assess its contributing factors. Results: Good SAH is significantly concentrated among the rich rather than the poor (CI=0.008; p<0.01. Decomposition of this result shows that social protection and employment (contribution=0.012; p<0.01, knowledge and education (0.005; p<0.01, and housing and infrastructure (−0.003; p<0.01 contribute significantly to the disparities in good SAH in SA. After accounting for these other variables, the contribution of income and poverty is negligible. Conclusions: Addressing health inequalities inter alia requires an increased government commitment in terms of budgetary allocations to key sectors (i.e. employment, social protection, education, housing, and other appropriate infrastructure. Attention should also be paid to equity in benefits from

  8. Wage Inequality and the Location of Cities

    DEFF Research Database (Denmark)

    Farrokhi, Farid; Jinkins, David

    agglomeration and congestion forces. The model bridges the gap between the spatial inequality literature which abstracts from geography, and the economic geography literature which abstracts from inequality. We find that geographical location explains 9.2% of observed variation in wage inequality across...

  9. On the measurement of the (multidimensional) inequality of health distributions

    DEFF Research Database (Denmark)

    Hougaard, Jens Leth; Moreno-Ternero, Juan D.; Østerdal, Lars Peter Raahave

    2013-01-01

    a standard mathematical structure. We single out two families of (absolute and relative) multidimensional health inequality indices, inspired by the classical normative approach to income inequality measurement. We also discuss how to extend the analysis to deal with the related problem of health deprivation......Health outcomes are often described according to two dimensions: quality of life and quantity of life. We analyze the measurement of inequality of health distributions referring to these two dimensions. Our analysis relies on a novel treatment of the quality-of-life dimension, which might not have...

  10. Time scarcity: another health inequality?

    OpenAIRE

    Lyndall Strazdins; Amy L Griffin; Dorothy H Broom; Cathy Banwell; Rosemary Korda; Jane Dixon; Francesco Paolucci; John Glover

    2011-01-01

    Considerable policy action has focused on the social patterning of health, especially the health risks associated with low income. More recent attention has turned to transport, food systems, workplaces, and location, and the way their intersections with social position and income create health inequalities. Time is another dimension that structures what people do; yet the way in which time contours health has been neglected. This paper explores (a) how time might influence health, and (b) th...

  11. Ecological analysis of the health effects of income inequality in Argentina.

    Science.gov (United States)

    De Maio, Fernando G

    2008-05-01

    Despite a large body of empirical literature, a consensus has not been reached concerning the health effects of income inequality. This study contributes to ongoing debates by examining the robustness of the income inequality-population health relationship in Argentina, using five different income inequality indexes (each sensitive to inequalities in differing parts of the income spectrum) and five measures of population health. Cross-sectional, ecological study. Income and self-reported morbidity data from Argentina's 2001 Encuesta de Condiciones de Vida (Survey of living conditions) were analysed at the provincial level. Provincial rates of male/female life expectancy and infant mortality were drawn from the Instituto Nacional de Estadistica y Censos database. Life expectancy was correlated in the expected direction with provincial-level income inequality (operationalized as the Gini coefficient) for both males (r=-0.55, P<0.01) and females (r=-0.61, P<0.01), but this association was not robust for all five income inequality indexes. In contrast, infant mortality, self-reported poor health and self-reported activity limitation were not correlated with any of the income inequality indexes. This study adds further complexity to the literature on the health effects of income inequality by highlighting the important effects of operational definitions. Mortality and morbidity data cannot be used as reasonably interchangeable variables (a common practice in this literature), and the choice of income inequality indicator may influence the results.

  12. Inequities in maternal and child health outcomes and interventions in Ghana

    Directory of Open Access Journals (Sweden)

    Zere Eyob

    2012-03-01

    Full Text Available Abstract Background With the date for achieving the targets of the Millennium Development Goals (MDGs approaching fast, there is a heightened concern about equity, as inequities hamper progress towards the MDGs. Equity-focused approaches have the potential to accelerate the progress towards achieving the health-related MDGs faster than the current pace in a more cost-effective and sustainable manner. Ghana's rate of progress towards MDGs 4 and 5 related to reducing child and maternal mortality respectively is less than what is required to achieve the targets. The objective of this paper is to examine the equity dimension of child and maternal health outcomes and interventions using Ghana as a case study. Methods Data from Ghana Demographic and Health Survey 2008 report is analyzed for inequities in selected maternal and child health outcomes and interventions using population-weighted, regression-based measures: slope index of inequality and relative index of inequality. Results No statistically significant inequities are observed in infant and under-five mortality, perinatal mortality, wasting and acute respiratory infection in children. However, stunting, underweight in under-five children, anaemia in children and women, childhood diarrhoea and underweight in women (BMI Conclusion Significant Inequities are observed in many of the selected child and maternal health outcomes and interventions. Failure to address these inequities vigorously is likely to lead to non-achievement of the MDG targets related to improving child and maternal health (MDGs 4 and 5. The government should therefore give due attention to tackling inequities in health outcomes and use of interventions by implementing equity-enhancing measure both within and outside the health sector in line with the principles of Primary Health Care and the recommendations of the WHO Commission on Social Determinants of Health.

  13. Measuring inequalities in the distribution of the Fiji Health Workforce.

    Science.gov (United States)

    Wiseman, Virginia; Lagarde, Mylene; Batura, Neha; Lin, Sophia; Irava, Wayne; Roberts, Graham

    2017-06-30

    Despite the centrality of health personnel to the health of the population, the planning, production and management of human resources for health remains underdeveloped in many low- and middle-income countries (LMICs). In addition to the general shortage of health workers, there are significant inequalities in the distribution of health workers within LMICs. This is especially true for countries like Fiji, which face major challenges in distributing its health workforce across many inhabited islands. In this study, we describe and measure health worker distributional inequalities in Fiji, using data from the 2007 Population Census, and Ministry of Health records of crude death rates and health workforce personnel. We adopt methods from the economics literature including the Lorenz Curve/Gini Coefficient and Theil Index to measure the extent and drivers of inequality in the distribution of health workers at the sub-national level in Fiji for three categories of health workers: doctors, nurses, and all health workers (doctors, nurses, dentists and health support staff). Population size and crude death rates are used as proxies for health care needs. There are greater inequalities in the densities of health workers at the provincial level, compared to the divisional level in Fiji - six of the 15 provinces fall short of the recommended threshold of 2.3 health workers per 1,000 people. The estimated decile ratios, Gini co-efficient and Thiel index point to inequalities at the provincial level in Fiji, mainly with respect to the distribution of doctors; however these inequalities are relatively small. While populations with lower mortality tend to have a slightly greater share of health workers, the overall distribution of health workers on the basis of need is more equitable in Fiji than for many other LMICs. The overall shortage of health workers could be addressed by creating new cadres of health workers; employing increasing numbers of foreign doctors, including

  14. Does Income Inequality Harm Health? New Cross-National Evidence

    Science.gov (United States)

    Beckfield, Jason

    2004-01-01

    The provocative hypothesis that income inequality harms population health has sparked a large body of research, some of which has reported strong associations between income inequality and population health. Cross-national evidence is frequently cited in support of this important hypothesis, but the hypothesis remains controversial, and the…

  15. Educational inequalities in self-rated health across US states and European countries.

    Science.gov (United States)

    Präg, Patrick; Subramanian, S V

    2017-07-01

    The US shows a distinct health disadvantage when compared to other high-income nations. A potential lever to reduce this disadvantage is to improve the health situation of lower socioeconomic groups. Our objective is to explore how the considerable within-US variation in health inequalities compares to the health inequalities across other Western countries. Representative survey data from 44 European countries and the US federal states were obtained from the fourth wave of the European Values Study (EVS) and the 2008 wave of the Behavioral Risk Factor Surveillance System. Using binary logistic regression, we analyze different forms of educational inequalities in self-rated health (SRH), adjusted for age and sex. The extent of educational inequalities in SRH varies considerably over European countries and US states; with US states in general showing greater inequality, however, differences between US states and European countries are less clear than commonly assumed. The US has considerable differences in educational inequalities in SRH across geographic locations. To understand the reasons for the US health disadvantage, comparative research has to take into account the vast variation in health inequalities within the US.

  16. A critical review of social and health inequalities in the nursing curriculum.

    Science.gov (United States)

    Rozendo, Célia Alves; Santos Salas, Anna; Cameron, Brenda

    2017-03-01

    Social and health inequalities are a reality around the world and one of the most important challenges in the current age. Nurse educators can respond to these challenges by incorporating curricular components to identify and intervene in social and health inequalities. To examine how social and health inequalities have been addressed in the nursing curriculum. Informed by the work of Paulo Freire, a critical literature review was performed to examine how social and health inequalities have been addressed in the nursing curriculum. In July 2015, we searched for articles published from 2000 to 2015 in ERIC, CINAHL, Web of Science, Scielo, MEDLINE and LILACS databases. Main search terms included "disparity" or "inequality" and "curriculum" and "nursing." We included studies published in academic journals in English, Portuguese and Spanish. A total of 20 articles were included in this review. Most of the articles (15) were from the United States and described educational experiences in implementing courses in nursing undergraduate curricula. Limited experiences with graduate nursing education were identified. Social and health inequalities were approached in these articles through elements such as social justice, cultural competence, cultural safety, and advocacy. A concern to reduce social and health disparities was noted. We identified three major themes in the articles included in this review: 1) elements in the curricula that can contribute to reducing social and health inequalities; 2) educational and research strategies used to address the theme of inequalities; 3) a focus on socially vulnerable populations to increase awareness on social and health inequalities. Findings suggest that nursing education initiatives align with the recommendations from the World Health Organization to address disparities. There is also a need to identify existing conceptual and practical content on inequalities in the nursing curriculum through future research. Copyright © 2016

  17. Impacts of Climate Change on Inequities in Child Health

    Directory of Open Access Journals (Sweden)

    Charmian M. Bennett

    2014-12-01

    Full Text Available This paper addresses an often overlooked aspect of climate change impacts on child health: the amplification of existing child health inequities by climate change. Although the effects of climate change on child health will likely be negative, the distribution of these impacts across populations will be uneven. The burden of climate change-related ill-health will fall heavily on the world’s poorest and socially-disadvantaged children, who already have poor survival rates and low life expectancies due to issues including poverty, endemic disease, undernutrition, inadequate living conditions and socio-economic disadvantage. Climate change will exacerbate these existing inequities to disproportionately affect disadvantaged children. We discuss heat stress, extreme weather events, vector-borne diseases and undernutrition as exemplars of the complex interactions between climate change and inequities in child health.

  18. Reference value sensitivity of measures of unfair health inequality

    Science.gov (United States)

    García-Gómez, Pilar; Schokkaert, Erik; Van Ourti, Tom

    2014-01-01

    Most politicians and ethical observers are not interested in pure health inequalities, as they want to distinguish between different causes of health differences. Measures of “unfair” inequality - direct unfairness and the fairness gap, but also the popular standardized concentration index - therefore neutralize the effects of what are considered to be “legitimate” causes of inequality. This neutralization is performed by putting a subset of the explanatory variables at reference values, e.g. their means. We analyze how the inequality ranking of different policies depends on the specific choice of reference values. We show with mortality data from the Netherlands that the problem is empirically relevant and we suggest a statistical method for fixing the reference values. PMID:24954998

  19. The less healthy urban population: income-related health inequality in China

    Science.gov (United States)

    2012-01-01

    Background Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. Methods This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH) and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS) 2006 are used. Results The study finds that the poor are less likely to report their health status as “excellent or good” and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. Conclusion The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality. PMID:22989200

  20. The less healthy urban population: income-related health inequality in China.

    Science.gov (United States)

    Yang, Wei; Kanavos, Panos

    2012-09-18

    Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH) and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS) 2006 are used. The study finds that the poor are less likely to report their health status as "excellent or good" and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality.

  1. The less healthy urban population: income-related health inequality in China

    Directory of Open Access Journals (Sweden)

    Yang Wei

    2012-09-01

    Full Text Available Abstract Background Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. Methods This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS 2006 are used. Results The study finds that the poor are less likely to report their health status as “excellent or good” and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. Conclusion The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality.

  2. Migrant integration policies and health inequalities in Europe.

    Science.gov (United States)

    Giannoni, Margherita; Franzini, Luisa; Masiero, Giuliano

    2016-06-01

    Research on socio-economic determinants of migrant health inequalities has produced a large body of evidence. There is lack of evidence on the influence of structural factors on lives of fragile groups, frequently exposed to health inequalities. The role of poor socio-economic status and country level structural factors, such as migrant integration policies, in explaining migrant health inequalities is unclear. The objective of this paper is to examine the role of migrant socio-economic status and the impact of migrant integration policies on health inequalities during the recent economic crisis in Europe. Using the 2012 wave of Eurostat EU-SILC data for a set of 23 European countries, we estimate multilevel mixed-effects ordered logit models for self-assessed poor health (SAH) and self-reported limiting long-standing illnesses (LLS), and multilevel mixed-effects logit models for self-reported chronic illness (SC). We estimate two-level models with individuals nested within countries, allowing for both individual socio-economic determinants of health and country-level characteristics (healthy life years expectancy, proportion of health care expenditure over the GDP, and problems in migrant integration policies, derived from the Migrant Integration Policy Index (MIPEX). Being a non-European citizen or born outside Europe does not increase the odds of reporting poor health conditions, in accordance with the "healthy migrant effect". However, the country context in terms of problems in migrant integration policies influences negatively all of the three measures of health (self-reported health status, limiting long-standing illnesses, and self-reported chronic illness) in foreign people living in European countries, and partially offsets the "healthy migrant effect". Policies for migrant integration can reduce migrant health disparities.

  3. [Intelligence and the explanation for socio-economic inequalities in health].

    Science.gov (United States)

    Huisman, M; Mackenbach, J P

    2007-05-12

    Attention is increasingly being paid to the role of cognitive ability to explain socio-economic inequalities in health. The universal socio-economic gradient in health, where each rung lower on the socio-economic ladder implies worse health, has still not been satisfactorily explained scientifically. Because cognitive ability is related to a multitude of social outcomes in a similarly graded manner, hypothesising that cognitive ability plays a major role in health inequalities by socio-economic status is appealing. Recent empirical studies have shown that at least part of socio-economic health inequalities can indeed be explained by differences in cognitive ability. However, this does not imply that we should be pessimistic about future attempts to break the chain that links socio-economic status and cognitive ability with health. During some life stages, environmental factors may be able to influence cognitive ability. Interventions may therefore be targeted in order to optimize these effects. In addition, there is evidence that cognitive ability is correlated with health-related behaviours such as smoking, excessive alcohol consumption and obesity. Therefore, another opportunity for reducing health inequalities related to cognitive ability and socio-economic status would be to develop tailored interventions to improve health-related behaviours in disadvantaged groups. However, the first priority is to further investigate the role of cognitive ability in health inequalities by examining various health outcomes, different age groups and variations across the life course.

  4. ARE ALL HEALTH INEQUALITIES REALLY UNJUST?

    Directory of Open Access Journals (Sweden)

    Kadir GÜRSOY

    2014-02-01

    Full Text Available It is well known that health outcomes are not allotted evenly among countries, between regions in a country, and even among people living in the same neighborhood. For example, while a Japanese person enjoys living 83.1 years in 2009 on average, life expectancy at birth for a Zambian person is only 47.9 years, pointing out that there are notable disparities in the health of differing groups. Lifestyle factors, biological factors, and social gradients lead to most health inequalities. Health inequalities are unjust and avoidable when they arise due to the unfair distribution of the social gradients such as education, income, and social status. However, some are not unjust and hence acceptable if they are derived completely from free choices fully informed adults make such as smoking, alcohol, risky hobbies. Therefore, governments should provide equal and fair opportunity for health and improve health status of the worst off, but they have to keep in mind that even with the best policies, unequal but just health outcomes may still persist as a residual.

  5. Income-related inequality in health and health-related behaviour: exploring the equalisation hypothesis

    OpenAIRE

    Vallejo-Torres, Laura; Hale, Daniel; Morris, Stephen; Viner, Russell M

    2014-01-01

    Background Previous studies have found the socioeconomic gradient in health among adolescents to be lower than that observed during childhood and adulthood. The aim of this study was to examine income-related inequalities in health and health-related behaviour across the lifespan in England to explore ‘equalisation’ in adolescence. Methods We used five years of data (2006–2010) from the Health Survey for England to explore inequalities in six indicators: self-assessed general health, longstan...

  6. Health Inequality in South Africa: A Systematic Review | Obuaku ...

    African Journals Online (AJOL)

    This study presents a review of key empirical studies on health inequalities in South Africa with the aim of contributing to a comparative examination of social inequalities in health across different countries in Europe and other parts of the World. Studies reviewed were identified through a computerised search of key words ...

  7. Food and Health Inequalities in European Union

    DEFF Research Database (Denmark)

    Robertson, Aileen

    Food and Inequalities in European Union Dr. Aileen Robertson, Public Health Nutritionist at the Metropolitan University College, Copenhagen. Dr. Robertson focused on food and inequality in light of the increased prevalence of overweight and obesity in Europe. On average over 50% of Europeans...... public procurement; 3) more democratic sustainable food systems with fairer prices to producers; 4) realise that food and nutrition policies are at the heart of achieving all 17 Sustainable Development Goals and the COP21climate goals; 5) a ‘Health in All Policies’ approach applied to CAP reform...

  8. Can inequality be tamed through boundary work? A qualitative study of health promotion aimed at reducing health inequalities.

    Science.gov (United States)

    Pedersen, Pia Vivian; Hjelmar, Ulf; Høybye, Mette Terp; Rod, Morten Hulvej

    2017-07-01

    This paper examines the organisational dynamics that arise in health promotion aimed at reducing health inequalities. The paper draws on ethnographic fieldwork among public health officers in Danish municipalities and qualitative interviews from an evaluation of health promotion programmes targeting homeless and other marginalised citizens. Analytically, we focus on 'boundary work', i.e. the ways in which social and symbolic boundaries are established, maintained, transgressed and negotiated, both at the administrative level and among frontline professionals. The paper discusses three types of boundary work: (i) demarcating professional domains; (ii) setting the boundaries of the task itself; and (iii) managing administrative boundaries. The main argument is that the production, maintenance and transgression of these three types of boundaries constitute central and time-consuming aspects of the practices of public health professionals, and that boundary work constitutes an important element in professional practices seeking to 'tame a wicked problem', such as social inequalities in health. A cross-cutting feature of the three types of boundary work is the management of the divide between health and social issues, which the professionals seemingly seek to uphold and transgress at the same time. The paper thus contributes to ongoing discussions of intersectoral action to address health inequalities. Furthermore, it extends the scope and application of the concept of boundary work in the sociology of public health by suggesting that the focus in previous research on professional demarcation be broadened in order to capture other types of boundaries that shape, and are shaped by, professional practices. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. Was Mackenbach right? Towards a practical political science of redistribution and health inequalities.

    Science.gov (United States)

    Schrecker, Ted

    2017-07-01

    In 2010, Mackenbach reflected on England's lack of success in reducing health inequalities between 1997 and 2010, asserting that "it is difficult to imagine a longer window of opportunity for tackling health inequalities"; asking "[i]f this did not work, what will?"; and concluding that reducing health inequalities was not politically feasible at least in that jurisdiction. Exploring the empirics of that observation offers a window into the politics of reducing health inequalities. For purposes of future comparative research, I outline three (not mutually exclusive) perspectives on political feasibility, identify their implications for a political science of health inequalities, and explore what they mean for advocacy in support of reducing those inequalities. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Inequalities in selected health-related Millennium Development ...

    African Journals Online (AJOL)

    Inequalities in selected health-related Millennium Development Goals ... and interventions (including health promotion, primary and secondary prevention, ... and ensuring environmental sustainability (through reduction in the use of solid fuels ...

  11. Simulation Models for Socioeconomic Inequalities in Health: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Niko Speybroeck

    2013-11-01

    Full Text Available Background: The emergence and evolution of socioeconomic inequalities in health involves multiple factors interacting with each other at different levels. Simulation models are suitable for studying such complex and dynamic systems and have the ability to test the impact of policy interventions in silico. Objective: To explore how simulation models were used in the field of socioeconomic inequalities in health. Methods: An electronic search of studies assessing socioeconomic inequalities in health using a simulation model was conducted. Characteristics of the simulation models were extracted and distinct simulation approaches were identified. As an illustration, a simple agent-based model of the emergence of socioeconomic differences in alcohol abuse was developed. Results: We found 61 studies published between 1989 and 2013. Ten different simulation approaches were identified. The agent-based model illustration showed that multilevel, reciprocal and indirect effects of social determinants on health can be modeled flexibly. Discussion and Conclusions: Based on the review, we discuss the utility of using simulation models for studying health inequalities, and refer to good modeling practices for developing such models. The review and the simulation model example suggest that the use of simulation models may enhance the understanding and debate about existing and new socioeconomic inequalities of health frameworks.

  12. Inequalities in oral health and oral health promotion

    OpenAIRE

    Moysés, Samuel Jorge

    2012-01-01

    This article offers a critical review of the problem of inequalities in oral health and discusses strategies for disease prevention and oral health promotion. It shows that oral health is not merely a result of individual biological, psychological, and behavioral factors; rather, it is the sum of collective social conditions created when people interact with the social environment. Oral health status is directly related to socioeconomic position across the socioeconomic gradient in almost all...

  13. Socioeconomic inequality in catastrophic health expenditure in Brazil.

    Science.gov (United States)

    Boing, Alexandra Crispim; Bertoldi, Andréa Dâmaso; Barros, Aluísio Jardim Dornellas de; Posenato, Leila Garcia; Peres, Karen Glazer

    2014-08-01

    To analyze the evolution of catastrophic health expenditure and the inequalities in such expenses, according to the socioeconomic characteristics of Brazilian families. Data from the National Household Budget 2002-2003 (48,470 households) and 2008-2009 (55,970 households) were analyzed. Catastrophic health expenditure was defined as excess expenditure, considering different methods of calculation: 10.0% and 20.0% of total consumption and 40.0% of the family's capacity to pay. The National Economic Indicator and schooling were considered as socioeconomic characteristics. Inequality measures utilized were the relative difference between rates, the rates ratio, and concentration index. The catastrophic health expenditure varied between 0.7% and 21.0%, depending on the calculation method. The lowest prevalences were noted in relation to the capacity to pay, while the highest, in relation to total consumption. The prevalence of catastrophic health expenditure increased by 25.0% from 2002-2003 to 2008-2009 when the cutoff point of 20.0% relating to the total consumption was considered and by 100% when 40.0% or more of the capacity to pay was applied as the cut-off point. Socioeconomic inequalities in the catastrophic health expenditure in Brazil between 2002-2003 and 2008-2009 increased significantly, becoming 5.20 times higher among the poorest and 4.17 times higher among the least educated. There was an increase in catastrophic health expenditure among Brazilian families, principally among the poorest and those headed by the least-educated individuals, contributing to an increase in social inequality.

  14. Whose health is affected by income inequality? A multilevel interaction analysis of contemporaneous and lagged effects of state income inequality on individual self-rated health in the United States.

    Science.gov (United States)

    Subramanian, S V; Kawachi, Ichiro

    2006-06-01

    The empirical relationship between income inequality and health has been much debated and discussed. Recent reviews suggest that the current evidence is mixed, with the relationship between state income inequality and health in the United States (US) being perhaps the most robust. In this paper, we examine the multilevel interactions between state income inequality, individual poor self-rated health, and a range of individual demographic and socioeconomic markers in the US. We use the pooled data from the 1995 and 1997 Current Population Surveys, and the data on state income inequality (represented using Gini coefficient) from the 1990, 1980, and 1970 US Censuses. Utilizing a cross-sectional multilevel design of 201,221 adults nested within 50 US states we calibrated two-level binomial hierarchical mixed models (with states specified as a random effect). Our analyses suggest that for a 0.05 change in the state income inequality, the odds ratio (OR) of reporting poor health was 1.30 (95% CI: 1.17-1.45) in a conditional model that included individual age, sex, race, marital status, education, income, and health insurance coverage as well as state median income. With few exceptions, we did not find strong statistical support for differential effects of state income inequality across different population groups. For instance, the relationship between state income inequality and poor health was steeper for whites compared to blacks (OR=1.34; 95% CI: 1.20-1.48) and for individuals with incomes greater than $75,000 compared to less affluent individuals (OR=1.65; 95% CI: 1.26-2.15). Our findings, however, primarily suggests an overall (as opposed to differential) contextual effect of state income inequality on individual self-rated poor health. To the extent that contemporaneous state income inequality differentially affects population sub-groups, our analyses suggest that the adverse impact of inequality is somewhat stronger for the relatively advantaged socioeconomic

  15. Women at risk: Gender inequality and maternal health.

    Science.gov (United States)

    Banda, Pamela C; Odimegwu, Clifford O; Ntoimo, Lorretta F C; Muchiri, Evans

    2017-04-01

    Gender inequality has been documented as a key driver of negative health outcomes, especially among women. However, studies have not clearly examined the role of gender inequality in maternal health in an African setting. Therefore, the authors of this study examined the role of gender inequality, indicated by lack of female autonomy, in exposing women to maternal health risk. Data were obtained from the 2007 Zambia Demographic and Health Survey on a weighted sample of 3,906 married or partnered women aged 15-49 years. Multivariable analyses revealed that low autonomy in household decision power was associated with maternal health risk (Odds Ratio (OR) = 1.52, p < .001). Autonomy interacted with household wealth showed that respondents who were in the wealthier households and had low autonomy in household decision power (OR = 2.03, p < .05) were more likely to be exposed to maternal health risk than their counterparts who had more autonomy. Efforts to lower women's exposure to maternal mortality and morbidity in Zambia should involve interventions to alter prevailing gender norms that limit women's active participation in decisions about their own health during pregnancy and delivery.

  16. Does public health advocacy seek to redress health inequities? A scoping review.

    Science.gov (United States)

    Cohen, Benita E; Marshall, Shelley G

    2017-03-01

    The public health (PH) sector is ideally situated to take a lead advocacy role in catalysing and guiding multi-sectoral action to address social determinants of health inequities, but evidence suggests that PH's advocacy role has not been fully realised. The purpose of this review was to determine the extent to which the PH advocacy literature addresses the goal of reducing health and social inequities, and to increase understanding of contextual factors shaping the discourse and practice of PH advocacy. We employed scoping review methods to systematically examine and chart peer-reviewed and grey literature on PH advocacy published from January 1, 2000 to June 30, 2015. Databases and search engines used included: PubMed, CINAHL, PsycINFO, Social Sciences Citation Index, Google Scholar, Google, Google Books, ProQuest Dissertations and Theses, Grey Literature Report. A total of 183 documents were charted, and included in the final analysis. Thematic analysis was both inductive and deductive according to the objectives. Although PH advocacy to address root causes of health inequities is supported theoretically and through professional practice standards, the empirical literature does not reflect that this is occurring widely in PH practice. Tensions within the discourse were noted and multiple barriers to engaging in PH advocacy for health equity were identified, including a preoccupation with individual responsibilities for healthy lifestyles and behaviours, consistent with the emergence of neoliberal governance. If the PH sector is to fulfil its advocacy role in catalysing action to reduce health inequities, it will be necessary to address advocacy barriers at multiple levels, promote multi-sectoral efforts that implicate the state and corporations in the production of health inequities, and rally state involvement to redress these injustices. © 2016 John Wiley & Sons Ltd.

  17. Health Inequalities and Active Aging: What Can Social Workers Do?

    OpenAIRE

    Won Min, Jong

    2013-01-01

    The ongoing Eurozone crisis brought Spain harsh austerity measures of higher tax and cuts in medical care and social services. The growing economic hardship may lead to greater economic inequality. Income inequality, in turn, could cause inequitable health differences in population, called “health inequalities.” All of the events pose great challenges and risk to older adults, and threatens their efforts toward achieving healthy and active aging in Spain. This paper provides an ov...

  18. Socioeconomic health inequalities among a nationally representative sample of Danish adolescents

    DEFF Research Database (Denmark)

    Due, P; Lynch, J; Holstein, B

    2003-01-01

    To investigate the role of different types of social relations in adolescent health inequalities.......To investigate the role of different types of social relations in adolescent health inequalities....

  19. Health care inequities in north India: role of public sector in universalizing health care.

    Science.gov (United States)

    Prinja, Shankar; Kanavos, Panos; Kumar, Rajesh

    2012-09-01

    Income inequality is associated with poor health. Inequities exist in service utilization and financing for health care. Health care costs push high number of households into poverty in India. We undertook this study to ascertain inequities in health status, service utilization and out-of-pocket (OOP) health expenditures in two States in north India namely, Haryana and Punjab, and Union Territory of Chandigarh. Data from National Sample Survey 60 th Round on Morbidity and Health Care were analyzed by mean consumption expenditure quintiles. Indicators were devised to document inequities in the dimensions of horizontal and vertical inequity; and redistribution of public subsidy. Concentration index (CI), and equity ratio in conjunction with concentration curve were computed to measure inequity. Reporting of morbidity and hospitalization rate had a pro-rich distribution in all three States indicating poor utilization of health services by low income households. Nearly 57 and 60 per cent households from poorest income quintile in Haryana and Punjab, respectively faced catastrophic OOP hospitalization expenditure at 10 per cent threshold. Lower prevalence of catastrophic expenditure was recorded in higher income groups. Public sector also incurred high costs for hospitalization in selected three States. Medicines constituted 19 to 47 per cent of hospitalization expenditure and 59 to 86 per cent OPD expenditure borne OOP by households in public sector. Public sector hospitalizations had a pro-poor distribution in Haryana, Punjab and Chandigarh. Our analysis indicates that public sector health service utilization needs to be improved. OOP health care expenditures at public sector institutions should to be curtailed to improve utilization of poorer segments of population. Greater availability of medicines in public sector and regulation of their prices provide a unique opportunity to reduce public sector OOP expenditure.

  20. Gender (in)equality among employees in elder care : implications for health

    OpenAIRE

    Elwer, Sofia; Alex, Lena; Hammarström, Anne

    2012-01-01

    Abstract Introduction Gendered practices of working life create gender inequalities through horizontal and vertical gender segregation in work, which may lead to inequalities in health between women and men. Gender equality could therefore be a key element of health equity in working life. Our aim was to analyze what gender (in)equality means for the employees at a woman-dominated workplace and discuss possible implications for health experiences. Methods All caregiving staff at two workplace...

  1. Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis.

    Science.gov (United States)

    Dlouhý, Martin

    2018-01-01

    The existence of geographic differences in health resources, health expenditures, the utilization of health services, and health outcomes have been documented by a lot of studies from various countries of the world. In a publicly financed health system, equal access is one of the main objectives of the national health policy. That is why inequalities in the geographic allocation of health resources are an important health policy issue. Measures of inequality express the complexity of variation in the observed variable by a single number, and there is a variety of inequality measures available. The objective of this study is to develop a measure of the geographic inequality in the case of multiple health resources. The measure uses data envelopment analysis (DEA), which is a non-parametric method of production function estimation, to transform multiple resources into a single virtual health resource. The study shows that the DEA originally developed for measuring efficiency can be used successfully to measure inequality. For the illustrative purpose, the inequality measure is calculated for the Czech Republic. The values of separate Robin Hood Indexes (RHIs) are 6.64% for physicians and 3.96% for nurses. In the next step, we use combined RHI for both health resources. Its value 5.06% takes into account that the combinations of two health resources serve regional populations.

  2. Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis

    Science.gov (United States)

    Dlouhý, Martin

    2018-01-01

    The existence of geographic differences in health resources, health expenditures, the utilization of health services, and health outcomes have been documented by a lot of studies from various countries of the world. In a publicly financed health system, equal access is one of the main objectives of the national health policy. That is why inequalities in the geographic allocation of health resources are an important health policy issue. Measures of inequality express the complexity of variation in the observed variable by a single number, and there is a variety of inequality measures available. The objective of this study is to develop a measure of the geographic inequality in the case of multiple health resources. The measure uses data envelopment analysis (DEA), which is a non-parametric method of production function estimation, to transform multiple resources into a single virtual health resource. The study shows that the DEA originally developed for measuring efficiency can be used successfully to measure inequality. For the illustrative purpose, the inequality measure is calculated for the Czech Republic. The values of separate Robin Hood Indexes (RHIs) are 6.64% for physicians and 3.96% for nurses. In the next step, we use combined RHI for both health resources. Its value 5.06% takes into account that the combinations of two health resources serve regional populations. PMID:29541631

  3. Difference in Health Inequity between Two Population Groups due to a Social Determinant of Health

    Science.gov (United States)

    Moonesinghe, Ramal; Bouye, Karen; Penman-Aguilar, Ana

    2014-01-01

    The World Health Organization defines social determinants of health as “complex, integrated, and overlapping social structures and economic systems” that are responsible for most health inequities. Similar to the individual-level risk factors such as behavioral and biological risk factors that influence disease, we consider social determinants of health such as the distribution of income, wealth, influence and power as risk factors for risk of disease. We operationally define health inequity in a disease within a population due to a risk factor that is unfair and avoidable as the difference between the disease outcome with and without the risk factor in the population. We derive expressions for difference in health inequity between two populations due to a risk factor that is unfair and avoidable for a given disease. The difference in heath inequity between two population groups due to a risk factor increases with increasing difference in relative risks and the difference in prevalence of the risk factor in the two populations. The difference in health inequity could be larger than the difference in health outcomes between the two populations in some situations. Compared to health disparities which are typically measured and monitored using absolute or relative disparities of health outcomes, the methods presented in this manuscript provide a different, yet complementary, picture because they parse out the contributions of unfair and avoidable risk factors. PMID:25522048

  4. Rising U.S. income inequality, gender and individual self-rated health, 1972-2004.

    Science.gov (United States)

    Zheng, Hui

    2009-11-01

    The effect of income inequality on health has been a contested topic among social scientists. Most previous research is based on cross-sectional comparisons rather than temporal comparisons. Using data from the General Social Survey and the U.S. Census Bureau, this study examines how rising income inequality affects individual self-rated health in the U.S. from 1972 to 2004. Data are analyzed using hierarchical generalized linear models. The findings suggest a significant association between income inequality and individual self-rated health. The dramatic increase in income inequality from 1972 to 2004 increases the odds of worse self-rated health by 9.4 percent. These findings hold for three measures of income inequality: the Gini coefficient, the Atkinson Index, and the Theil entropy index. Results also suggest that overall income inequality and gender-specific income inequality harm men's, but not women's, self-rated health. These findings also hold for the three measures of income inequality. These findings suggest that inattention to gender composition may explain apparent discrepancies across previous studies.

  5. The role of urban municipal governments in reducing health inequities: A meta-narrative mapping analysis

    Directory of Open Access Journals (Sweden)

    Hayes Michael V

    2010-05-01

    Full Text Available Abstract Background The 1986 Ottawa Charter for Health Promotion coincided with a preponderance of research, worldwide, on the social determinants of health and health inequities. Despite the establishment of a 'health inequities knowledge base', the precise roles for municipal governments in reducing health inequities at the local level remain poorly defined. The objective of this study was to monitor thematic trends in this knowledge base over time, and to track scholarly prescriptions for municipal government intervention on local health inequities. Methods Using meta-narrative mapping, four bodies of scholarly literature - 'health promotion', 'Healthy Cities', 'population health' and 'urban health' - that have made substantial contributions to the health inequities knowledge base were analyzed over the 1986-2006 timeframe. Article abstracts were retrieved from the four literature bodies using three electronic databases (PubMed, Sociological Abstracts, Web of Science, and coded for bibliographic characteristics, article themes and determinants of health profiles, and prescriptions for municipal government interventions on health inequities. Results 1004 journal abstracts pertaining to health inequities were analyzed. The overall quantity of abstracts increased considerably over the 20 year timeframe, and emerged primarily from the 'health promotion' and 'population health' literatures. 'Healthy lifestyles' and 'healthcare' were the most commonly emphasized themes in the abstracts. Only 17% of the abstracts articulated prescriptions for municipal government interventions on local health inequities. Such interventions included public health campaigns, partnering with other governments and non-governmental organizations for health interventions, and delivering effectively on existing responsibilities to improve health outcomes and reduce inequities. Abstracts originating from Europe, and from the 'Healthy Cities' and 'urban health' literatures

  6. Inequalities in health and gender.

    Science.gov (United States)

    Haavio-Mannila, E

    1986-01-01

    Gender inequalities in health are studied in Denmark, Finland, Norway and Sweden on the basis of survey data on morbidity and symptoms of anxiety, and of mental hospitalization statistics. Women have higher rates of illness than men in countries where, and in periods when, they have to a great extent stayed at home as full-time housewives. Participation in paid economic activity and the resulting economical independence thus seems to be beneficial to women's health on the macro-level of society. On the micro-level of individual families, inequality in morbidity by gender is smaller in families with two economical providers than in families where the wife stays at home. The anxiety rates of employed wives are, however, relatively high compared with those of men and non-employed wives. Only in Sweden is the mental health of employed wives good, perhaps because of supportive social policies favouring women's work outside the home. The strain involved in combining family and work among women thus becomes manifest in the appearance of symptoms of anxiety but not in physical morbidity nor mental hospitalization.

  7. Social determinants of health and health inequities in Nakuru (Kenya).

    Science.gov (United States)

    Muchukuri, Esther; Grenier, Francis R

    2009-05-14

    Dramatic inequalities dominate global health today. The rapid urban growth sustained by Kenya in the last decades has created many difficulties that also led to worsening inequalities in health care. The continuous decline in its Human Development Index since the 1990s highlights the hardship that continues to worsen in the country, against the general trend of Sub-Saharan Africa. This paper examines the health status of residents in a major urban centre in Kenya and reviews the effects of selected social determinants on local health. Through field surveys, focus group discussions and a literature review, this study canvasses past and current initiatives and recommends priority actions. Areas identified which unevenly affect the health of the most vulnerable segments of the population were: water supply, sanitation, solid waste management, food environments, housing, the organization of health care services and transportation. The use of a participatory method proved to be a useful approach that could benefit other urban centres in their analysis of social determinants of health.

  8. The Interplay between socioeconomic inequalities and clinical oral health.

    Science.gov (United States)

    Steele, J; Shen, J; Tsakos, G; Fuller, E; Morris, S; Watt, R; Guarnizo-Herreño, C; Wildman, J

    2015-01-01

    Oral health inequalities associated with socioeconomic status are widely observed but may depend on the way that both oral health and socioeconomic status are measured. Our aim was to investigate inequalities using diverse indicators of oral health and 4 socioeconomic determinants, in the context of age and cohort. Multiple linear or logistic regressions were estimated for 7 oral health measures representing very different outcomes (2 caries prevalence measures, decayed/missing/filled teeth, 6-mm pockets, number of teeth, anterior spaces, and excellent oral health) against 4 socioeconomic measures (income, education, Index of Multiple Deprivation, and occupational social class) for adults aged ≥21 y in the 2009 UK Adult Dental Health Survey data set. Confounders were adjusted and marginal effects calculated. The results showed highly variable relationships for the different combinations of variables and that age group was critical, with different relationships at different ages. There were significant income inequalities in caries prevalence in the youngest age group, marginal effects of 0.10 to 0.18, representing a 10- to 18-percentage point increase in the probability of caries between the wealthiest and every other quintile, but there was not a clear gradient across the quintiles. With number of teeth as an outcome, there were significant income gradients after adjustment in older groups, up to 4.5 teeth (95% confidence interval, 2.2-6.8) between richest and poorest but none for the younger groups. For periodontal disease, income inequalities were mediated by other socioeconomic variables and smoking, while for anterior spaces, the relationships were age dependent and complex. In conclusion, oral health inequalities manifest in different ways in different age groups, representing age and cohort effects. Income sometimes has an independent relationship, but education and area of residence are also contributory. Appropriate choices of measures in relation to age

  9. Influence of macrosocial policies on women's health and gender inequalities in health.

    Science.gov (United States)

    Borrell, Carme; Palència, Laia; Muntaner, Carles; Urquía, Marcelo; Malmusi, Davide; O'Campo, Patricia

    2014-01-01

    Gender inequalities in health have been widely described, but few studies have examined the upstream sources of these inequalities in health. The objectives of this review are 1) to identify empirical papers that assessed the effect of gender equality policies on gender inequalities in health or on women's health by using between-country (or administrative units within a country) comparisons and 2) to provide an example of published evidence on the effects of a specific policy (parental leave) on women's health. We conducted a literature search covering the period from 1970 to 2012, using several bibliographical databases. We assessed 1,238 abstracts and selected 19 papers that considered gender equality policies, compared several countries or different states in 1 country, and analyzed at least 1 health outcome among women or compared between genders. To illustrate specific policy effects, we also selected articles that assessed associations between parental leave and women's health. Our review partially supports the hypothesis that Nordic social democratic welfare regimes and dual-earner family models best promote women's health. Meanwhile, enforcement of reproductive policies, mainly studied across US states, is associated with better mental health outcomes, although less with other outcomes. Longer paid maternity leave was also generally associated with better mental health and longer duration of breastfeeding.

  10. Individual Income, Area Deprivation, and Health: Do Income-Related Health Inequalities Vary by Small Area Deprivation?

    Science.gov (United States)

    Siegel, Martin; Mielck, Andreas; Maier, Werner

    2015-11-01

    This paper aims to explore potential associations between health inequalities related to socioeconomic deprivation at the individual and the small area level. We use German cross-sectional survey data for the years 2002 and 2006, and measure small area deprivation via the German Index of Multiple Deprivation. We test the differences between concentration indices of income-related and small area deprivation related inequalities in obesity, hypertension, and diabetes. Our results suggest that small area deprivation and individual income both yield inequalities in health favoring the better-off, where individual income-related inequalities are significantly more pronounced than those related to small area deprivation. We then apply a semiparametric extension of Wagstaff's corrected concentration index to explore how individual-level health inequalities vary with the degree of regional deprivation. We find that the concentration of obesity, hypertension, and diabetes among lower income groups also exists at the small area level. The degree of deprivation-specific income-related inequalities in the three health outcomes exhibits only little variations across different levels of multiple deprivation for both sexes. Copyright © 2014 John Wiley & Sons, Ltd.

  11. Health and social inequities in Turkey.

    Science.gov (United States)

    Dedeoglu, N

    1990-01-01

    Social and economic policies of governments directly influence the health of the people. These policies, in turn, are determined by the national and foreign controllers of power. Economic and social factors in Turkey during the late 1970s led to a new modelling of the economic system, from a Keynesian to a market-oriented and monetarist model. The state mechanism was also altered to form a centralized, authoritarian regime in order to enforce the requirements of the economy. As a result, the middle class diminished in size, inequalities in income distribution increased, unemployment climbed, the purchasing power of wage earners decreased, government spending for education and health was cut and new oppressive laws were enacted. Health services were already urban-biased and hospital-oriented, but new free-market measures were instituted which promoted private health institutions and attempted to transform state-owned and financed hospitals into self-supporting, independent business enterprises. The only school of public health was closed down; preventive medicine expenditures were lowered while hospital rates and drug prices were increased. All these changes affected the health status of the population. Mortality and morbidity inequalities had already existed between the rich and the poor, men and women, urban and rural settlements, educated and illiterate, West and East, always in favour of the former. However, the new policies exacerbated the inequities. Infectious diseases including tuberculosis increased, nutrition worsened, occupational diseases and work accidents rose to be the highest in Europe. The power-holding minority is not interested in the health of populations and is committed to pursue its social and economic policies. Ad hoc research, especially cross-sectional mortality studies repeated at regular intervals can provide data on the most vulnerable groups as no other valid information exists. There is little hope of these data being used for

  12. Measuring and decomposing inequity in self-reported morbidity and self-assessed health in Thailand

    Directory of Open Access Journals (Sweden)

    Sidorenko Alexandra

    2007-12-01

    Full Text Available Abstract Background In recent years, interest in the study of inequalities in health has not stopped at quantifying their magnitude; explaining the sources of inequalities has also become of great importance. This paper measures socioeconomic inequalities in self-reported morbidity and self-assessed health in Thailand, and the contributions of different population subgroups to those inequalities. Methods The Health and Welfare Survey 2003 conducted by the Thai National Statistical Office with 37,202 adult respondents is used for the analysis. The health outcomes of interest derive from three self-reported morbidity and two self-assessed health questions. Socioeconomic status is measured by adult-equivalent monthly income per household member. The concentration index (CI of ill health is used as a measure of socioeconomic health inequalities, and is subsequently decomposed into contributing factors. Results The CIs reveal inequality gradients disadvantageous to the poor for both self-reported morbidity and self-assessed health in Thailand. The magnitudes of these inequalities were higher for the self-assessed health outcomes than for the self-reported morbidity outcomes. Age and sex played significant roles in accounting for the inequality in reported chronic illness (33.7 percent of the total inequality observed, hospital admission (27.8 percent, and self-assessed deterioration of health compared to a year ago (31.9 percent. The effect of being female and aged 60 years or older was by far the strongest demographic determinant of inequality across all five types of health outcome. Having a low socioeconomic status as measured by income quintile, education and work status were the main contributors disadvantaging the poor in self-rated health compared to a year ago (47.1 percent and self-assessed health compared to peers (47.4 percent. Residence in the rural Northeast and rural North were the main regional contributors to inequality in self

  13. [Gender inequalities in occupational health in Spain].

    Science.gov (United States)

    Campos-Serna, Javier; Ronda-Pérez, Elena; Artazcoz, Lucía; Benavides, Fernando G

    2012-01-01

    To analyze gender inequalities in employment and working conditions, the work-life balance, and work-related health problems in a sample of the employed population in Spain in 2007, taking into account social class and the economic sector. Gender inequalities were analyzed by applying 25 indicators to the 11,054 workers interviewed for the VI edition of the National Working Conditions Survey. Multivariate logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (95% CI), stratifying by occupational social class and economic sector. More women than men worked without a contract (OR=1.83; 95% CI: 1.51-2.21) and under high-effort/low-reward conditions (1.14:1.05-1.25). Women also experienced more sexual harassment (2.85:1.75-4.62), discrimination (1.60:1.26-2.03) and musculoskeletal pain (1.38:1.19-1.59). More men than women carried out shift work (0.86:0.79-0.94), with high noise levels (0.34:0.30-0.40), and high physical demands (0.58:0.54-0.63). Men also suffered more injuries due to occupational accidents (0.67:0.59-0.76). Women white-collar-workers were more likely than their male counterparts to have a temporary contract (1.34:1.09-1.63), be exposed to psychosocial hazards and discrimination (2.47:1.49-4.09) and have occupational diseases (1.91:1.28-2.83). Gender inequalities were higher in the industry sector. There are substantial gender inequalities in employment, working conditions, and work-related health problems in Spain. These gender inequalities are influenced by social class and the economic sector, and should be considered in the design of public policies in occupational health. Copyright © 2011 SESPAS. Published by Elsevier España, S.L. All rights reserved.

  14. Income inequality in the United States and its potential effect on oral health.

    Science.gov (United States)

    Moeller, Jamie; Starkel, Rebecca; Quiñonez, Carlos; Vujicic, Marko

    2017-06-01

    The authors explored the relationship between income inequality and self-reported oral health and oral health-related quality of life. The authors used an online survey to gather data about US adults' perceptions of their overall oral health and how oral health affected their quality of life. The authors categorized respondents as coming from areas of low, medium, or high income inequality on the basis of a county-level Gini coefficient. Results of χ 2 tests and an analysis of variance indicated that there was a significant association between income inequality and oral health as measured by using the overall condition of the mouth and teeth, life satisfaction, and frequency of experiencing functional and social problems related to oral health. Generally, adults from areas of lower income inequality reported better oral health and oral health-related quality of life. Income inequality has the potential to affect both functional and social dimensions of oral health, possibly through a psychosocial pathway. Future research is necessary to determine whether any causal link exists. Our findings may inform oral health policy. Long-term policies designed to improve the oral health of Americans could work best when supported by policies designed to reduce levels of income inequality, and thereby, may reduce oral health inequalities. Further research is needed to examine the effectiveness of such policies. Copyright © 2017 American Dental Association. Published by Elsevier Inc. All rights reserved.

  15. Maternal Depression and Childhood Health Inequalities

    Science.gov (United States)

    Turney, Kristin

    2011-01-01

    An increasing body of literature documents considerable inequalities in the health of young children in the United States, though maternal depression is one important, yet often overlooked, determinant of children's health. In this article, the author uses data from the Fragile Families and Child Wellbeing Study (N = 4,048) and finds that maternal…

  16. Social inequalities in adult oral health in 40 low- and middle-income countries.

    Science.gov (United States)

    Bhandari, Bishal; Newton, Jonathon T; Bernabé, Eduardo

    2016-10-01

    This study evaluated social inequalities in adult oral health across several low- and middle-income countries. We used data from 40 countries that participated in the World Health Surveys. Participants' socio-economic position was assessed using the wealth index. Oral health was assessed using two perceived measures, namely total tooth loss and whether they had any problems with their mouth and/or teeth during the last 12 months (perceived needs). Absolute and relative wealth inequalities in oral health were measured using the slope index of inequality (SII) and the relative index of inequality (RII), respectively, after adjusting for participants' sex, age and education. There were wealth inequalities in total tooth loss and perceived needs in most countries. However, significant monotonic gradients were found in 21 countries for total tooth loss and in 18 countries for perceived needs. Two distinctive patterns of social inequality in oral health were found across countries using the RII and the SII. For total tooth loss, pro-rich inequality was found in 25 countries (significant RII/SII in eight countries) and pro-poor inequality was found in 15 (significant RII/SII in three countries). For perceived needs, pro-poor inequality was found in 26 countries (significant RII/SII in six countries) and pro-rich inequality was found in 14 (significant RII/SII in five countries). The well-documented social gradient in adult oral health favouring the rich was not present in all low- and middle-income countries. Pro-poor inequalities in total tooth loss, and particularly in perceived dental-treatment needs, were observed in some countries. © 2016 FDI World Dental Federation.

  17. Social inequalities in health among the elderly

    Directory of Open Access Journals (Sweden)

    Marilisa Berti de Azevedo Barros

    2011-01-01

    Full Text Available The aim of the present study was to assess social inequalities in health status, health behavior and the use of health services based on education level. A population-based cross-sectional study was carried out involving 1,518 elderly residents of Campinas, São Paulo State, Brazil. Significant demographic and social differences were found between schooling strata. Elderly individuals with a higher degree of schooling are in greater proportion alcohol drinkers, physically active, have healthier diets and a lower prevalence of hypertension, diabetes, dizziness, headaches, back pain, visual impairment and denture use, and better self-rated health. But, there were no differences in the use of health services in the previous two weeks, in hospitalizations or surgeries in the previous year, nor in medicine intake over the previous three days. Among elderly people with hypertension and diabetes, there were no differences in the regular use of health services and medication. The results demonstrate social inequalities in different health indicators, along with equity in access to some health service components.

  18. Prioritising public health: a qualitative study of decision making to reduce health inequalities

    Directory of Open Access Journals (Sweden)

    O'Flaherty Martin

    2011-10-01

    Full Text Available Abstract Background The public health system in England is currently facing dramatic change. Renewed attention has recently been paid to the best approaches for tackling the health inequalities which remain entrenched within British society and across the globe. In order to consider the opportunities and challenges facing the new public health system in England, we explored the current experiences of those involved in decision making to reduce health inequalities, taking cardiovascular disease (CVD as a case study. Methods We conducted an in-depth qualitative study employing 40 semi-structured interviews and three focus group discussions. Participants were public health policy makers and planners in CVD in the UK, including: Primary Care Trust and Local Authority staff (in various roles; General Practice commissioners; public health academics; consultant cardiologists; national guideline managers; members of guideline development groups, civil servants; and CVD third sector staff. Results The short term target- and outcome-led culture of the NHS and the drive to achieve "more for less", combined with the need to address public demand for acute services often lead to investment in "downstream" public health intervention, rather than the "upstream" approaches that are most effective at reducing inequalities. Despite most public health decision makers wishing to redress this imbalance, they felt constrained due to difficulties in partnership working and the over-riding influence of other stakeholders in decision making processes. The proposed public health reforms in England present an opportunity for public health to move away from the medical paradigm of the NHS. However, they also reveal a reluctance of central government to contribute to shifting social norms. Conclusions It is vital that the effectiveness and cost effectiveness of all new and existing policies and services affecting public health are measured in terms of their impact on the

  19. Prioritising public health: a qualitative study of decision making to reduce health inequalities.

    Science.gov (United States)

    Orton, Lois C; Lloyd-Williams, Ffion; Taylor-Robinson, David C; Moonan, May; O'Flaherty, Martin; Capewell, Simon

    2011-10-20

    The public health system in England is currently facing dramatic change. Renewed attention has recently been paid to the best approaches for tackling the health inequalities which remain entrenched within British society and across the globe. In order to consider the opportunities and challenges facing the new public health system in England, we explored the current experiences of those involved in decision making to reduce health inequalities, taking cardiovascular disease (CVD) as a case study. We conducted an in-depth qualitative study employing 40 semi-structured interviews and three focus group discussions. Participants were public health policy makers and planners in CVD in the UK, including: Primary Care Trust and Local Authority staff (in various roles); General Practice commissioners; public health academics; consultant cardiologists; national guideline managers; members of guideline development groups, civil servants; and CVD third sector staff. The short term target- and outcome-led culture of the NHS and the drive to achieve "more for less", combined with the need to address public demand for acute services often lead to investment in "downstream" public health intervention, rather than the "upstream" approaches that are most effective at reducing inequalities. Despite most public health decision makers wishing to redress this imbalance, they felt constrained due to difficulties in partnership working and the over-riding influence of other stakeholders in decision making processes. The proposed public health reforms in England present an opportunity for public health to move away from the medical paradigm of the NHS. However, they also reveal a reluctance of central government to contribute to shifting social norms. It is vital that the effectiveness and cost effectiveness of all new and existing policies and services affecting public health are measured in terms of their impact on the social determinants of health and health inequalities. Researchers

  20. Income-related inequalities in diseases and health conditions over the business cycle.

    Science.gov (United States)

    Ásgeirsdóttir, Tinna Laufey; Jóhannsdóttir, Hildur Margrét

    2017-12-01

    How business cycles affect income-related distribution of diseases and health disorders is largely unknown. We examine how the prevalence of thirty diseases and health conditions is distributed across the income spectrum using survey data collected in Iceland in 2007, 2009 and 2012. Thus, we are able to take advantage of the unusually sharp changes in economic conditions in Iceland during the Great Recession initiated in 2008 and the partial recovery that had already taken place by 2012 to analyze how income-related health inequality changed across time periods that can be described as a boom, crisis and recovery. The concentration curve and the concentration index are calculated for each disease, both overall and by gender. In all cases, we find a considerable income-related health inequality favoring higher income individuals, with a slight increase over the study period. Between 2007 and 2009, our results indicate increased inequality for women but decreased inequality for men. Between 2009 and 2012 on the contrary, men's inequality increases but women's decreases. The overarching result is thus that the economic hardship of the crisis temporarily increased female income-related health inequality, but decreased that of men.

  1. Social determinants of health and health inequities in Nakuru (Kenya

    Directory of Open Access Journals (Sweden)

    Grenier Francis R

    2009-05-01

    Full Text Available Abstract Background Dramatic inequalities dominate global health today. The rapid urban growth sustained by Kenya in the last decades has created many difficulties that also led to worsening inequalities in health care. The continuous decline in its Human Development Index since the 1990s highlights the hardship that continues to worsen in the country, against the general trend of Sub-Saharan Africa. This paper examines the health status of residents in a major urban centre in Kenya and reviews the effects of selected social determinants on local health. Methods Through field surveys, focus group discussions and a literature review, this study canvasses past and current initiatives and recommends priority actions. Results Areas identified which unevenly affect the health of the most vulnerable segments of the population were: water supply, sanitation, solid waste management, food environments, housing, the organization of health care services and transportation. Conclusion The use of a participatory method proved to be a useful approach that could benefit other urban centres in their analysis of social determinants of health.

  2. Health inequalities by socioeconomic characteristics in Spain: the economic crisis effect.

    Science.gov (United States)

    Barroso, Clara; Abásolo, Ignacio; Cáceres, José J

    2016-04-11

    An economic crisis can widen health inequalities between individuals. The aim of this paper is to explore differences in the effect of socioeconomic characteristics on Spaniards' self-assessed health status, depending on the Spanish economic situation. Data from the 2006-2007 and 2011-2012 National Health Surveys were used and binary logit and probit models were estimated to approximate the effects of socioeconomic characteristics on the likelihood to report good health. The difference between high and low education levels leads to differences in the likelihood to report good health of 16.00-16.25 and 18.15-18.22 percentage points in 2006-07 and 2011-12, respectively. In these two periods, the difference between employees and unemployed is 5.24-5.40 and 4.60-4.90 percentage points, respectively. Additionally, the difference between people who live in households with better socioeconomic conditions and those who are in worse situation reaches 5.37-5.46 and 3.63-3.74 percentage points for the same periods, respectively. The magnitude of the contribution of socioeconomic characteristics to health inequalities changes with the economic cycle; but this effect is different depending on the socioeconomic characteristics indicator that is being measured. In recessive periods, health inequalities due to education level increase, but those linked to individual professional status and household living conditions are attenuated. When the joint effects of individuals' characteristics are considered, the economic crisis brings about a slight increase in the inequalities in the probability of reporting good health between the two extreme profiles of individuals. The design of public policies aimed at preventing any worsening of health inequalities during recession periods should take into account these differential effects of socioeconomic characteristics indicators on health inequalities.

  3. Exploring ethnic inequalities in health: Evidence from the Health Survey for England, 1998-2011

    OpenAIRE

    Darlington, F; Norman, P; Ballas, D; Exeter, DJ

    2015-01-01

    Issues of social justice and social and spatial inequalities in health have long been researched, yet there is a relative paucity of research on ethnic inequalities in health. Given the increasing ethnic diversity of England's population and the persistence of unjust differences in health this research is timely. We used annual data from the Health Survey for England between 1998 and 2011, combined into a time-series dataset, to examine the influence of socioeconomic and spatial factors on et...

  4. Causes and determinants of inequity in maternal and child health in Vietnam

    Directory of Open Access Journals (Sweden)

    Målqvist Mats

    2012-08-01

    Full Text Available Abstract Background Inequities in health are a major challenge for health care planners and policymakers globally. In Vietnam, rapid societal development presents a considerable risk for disadvantaged populations to be left behind. The aim of this review is to map the known causes and determinants of inequity in maternal and child health in Vietnam in order to promote policy action. Methods A review was performed through systematic searches of Pubmed and Proquest and manual searches of “grey literature.” A thematic content analysis guided by the conceptual framework suggested by the Commission on Social Determinants of Health was performed. Results More than thirty different causes and determinants of inequity in maternal and child health were identified. Some determinants worth highlighting were the influence of informal fees and the many testimonies of discrimination and negative attitudes from health staff towards women in general and ethnic minorities in particular. Research gaps were identified, such as a lack of studies investigating the influence of education on health care utilization, informal costs of care, and how psychosocial factors mediate inequity. Conclusions The evidence of corruption and discrimination as mediators of health inequity in Vietnam calls for attention and indicates a need for more structural interventions such as better governance and anti-discriminatory laws. More research is needed in order to fully understand the pathways of inequities in health in Vietnam and suggest areas for intervention for policy action to reach disadvantaged populations.

  5. Causes and determinants of inequity in maternal and child health in Vietnam.

    Science.gov (United States)

    Målqvist, Mats; Hoa, Dinh Thi Phuong; Thomsen, Sarah

    2012-08-11

    Inequities in health are a major challenge for health care planners and policymakers globally. In Vietnam, rapid societal development presents a considerable risk for disadvantaged populations to be left behind. The aim of this review is to map the known causes and determinants of inequity in maternal and child health in Vietnam in order to promote policy action. A review was performed through systematic searches of Pubmed and Proquest and manual searches of "grey literature." A thematic content analysis guided by the conceptual framework suggested by the Commission on Social Determinants of Health was performed. More than thirty different causes and determinants of inequity in maternal and child health were identified. Some determinants worth highlighting were the influence of informal fees and the many testimonies of discrimination and negative attitudes from health staff towards women in general and ethnic minorities in particular. Research gaps were identified, such as a lack of studies investigating the influence of education on health care utilization, informal costs of care, and how psychosocial factors mediate inequity. The evidence of corruption and discrimination as mediators of health inequity in Vietnam calls for attention and indicates a need for more structural interventions such as better governance and anti-discriminatory laws. More research is needed in order to fully understand the pathways of inequities in health in Vietnam and suggest areas for intervention for policy action to reach disadvantaged populations.

  6. Inequalities in perceived health in the Russian Federation, 1994-2012.

    Science.gov (United States)

    Paul, Pavitra; Valtonen, Hannu

    2016-02-17

    Individual characteristics and socioeconomic strata (SES) are important determinants of health differences. We examine health inequalities in Russia and estimate the association of demography (gender and age) and SES (working status, income, geography of residence, living standard, wealth possession, and durable asset-holding) with perceived health over the period 1994-2012. This study uses nationally representative datasets from the Russian Longitudinal Monitoring Survey (RLMS: 1994-2012). We apply a random effect GLS model to examine the association of individual characteristics and individual heterogeneity in explaining self-perceived health status. In addition, we estimate a regression-based concentration index, which we decompose into the determinants of health inequalities. The self-perceived health differences between the better-off and the worse-off is reduced over the 18 year period (1994 - 2012). The individual variances in self-perceived health status are higher compared to the variances between the individuals over the period. The measure of health inequality index (concentration index) indicates a change for better health for the better-off Russians. Being employed matters in perceiving a better health status for the Russians in 2012. Self-perceived health differences in the Russian Federation has changed over time. Such differences in changes are attributable to both changes in the distribution of the determinants of health as well as changes in the association between the determinants of health with the self-perceived health status. Though this study identifies the determinants of health inequalities for the Russians, the future research is to examine the in-country distribution of these determinants that produce health differences within the Russian Federation.

  7. [Socioeconomic inequality and health in Mexico].

    Science.gov (United States)

    Ortiz-Hernández, Luis; Pérez-Salgado, Diana; Tamez-González, Silvia

    2015-01-01

    To establish the relationship between socioeconomic inequality and health problems amongst Mexican population reviewing studies with national or regional representation. A literature search was performed at national and international databases using the following keywords: health, disease, mental disorders, nutrition, food, social class, social status, unemployment, employment, occupation, income, wage, poverty and socioeconomic status. Reports of national or regional surveys conducted from the nineties were included. Mostly, diseases events were more common among people from low socioeconomic status: anencephaly, viral infections, anemia, transit accidents by run over, metabolic syndrome, hypertension, affective disorder, anxiety and substances abuse; some malignancies, difficulties to perform activities of daily living, and poor perceived health status. On the opposite, as it goes down in the social scale, are less frequent some protective factors (e.g. fruits or vegetables intake and physical activity) and there is less access to medical aid and preventive interventions (e.g. condom use or diagnosis and treatment for HIV infection, hypertension or obesity). Socioeconomic status affects all living conditions; therefore, its effects are not confined to certain diseases, but a general precarious state of health. The conceptual and public policy implications related with social inequalities in health are discussed.

  8. Reducing Health Inequities in the U.S.: Recommendations From the NHLBI's Health Inequities Think Tank Meeting.

    Science.gov (United States)

    Sampson, Uchechukwu K A; Kaplan, Robert M; Cooper, Richard S; Diez Roux, Ana V; Marks, James S; Engelgau, Michael M; Peprah, Emmanuel; Mishoe, Helena; Boulware, L Ebony; Felix, Kaytura L; Califf, Robert M; Flack, John M; Cooper, Lisa A; Gracia, J Nadine; Henderson, Jeffrey A; Davidson, Karina W; Krishnan, Jerry A; Lewis, Tené T; Sanchez, Eduardo; Luban, Naomi L; Vaccarino, Viola; Wong, Winston F; Wright, Jackson T; Meyers, David; Ogedegbe, Olugbenga G; Presley-Cantrell, Letitia; Chambers, David A; Belis, Deshirée; Bennett, Glen C; Boyington, Josephine E; Creazzo, Tony L; de Jesus, Janet M; Krishnamurti, Chitra; Lowden, Mia R; Punturieri, Antonello; Shero, Susan T; Young, Neal S; Zou, Shimian; Mensah, George A

    2016-08-02

    The National, Heart, Lung, and Blood Institute convened a Think Tank meeting to obtain insight and recommendations regarding the objectives and design of the next generation of research aimed at reducing health inequities in the United States. The panel recommended several specific actions, including: 1) embrace broad and inclusive research themes; 2) develop research platforms that optimize the ability to conduct informative and innovative research, and promote systems science approaches; 3) develop networks of collaborators and stakeholders, and launch transformative studies that can serve as benchmarks; 4) optimize the use of new data sources, platforms, and natural experiments; and 5) develop unique transdisciplinary training programs to build research capacity. Confronting health inequities will require engaging multiple disciplines and sectors (including communities), using systems science, and intervening through combinations of individual, family, provider, health system, and community-targeted approaches. Details of the panel's remarks and recommendations are provided in this report. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  9. Addressing Health Inequities: Coronary Heart Disease Training within Learning Disabilities Services

    Science.gov (United States)

    Holly, Deirdre; Sharp, John

    2014-01-01

    People with learning disabilities are at increased risk of coronary heart disease (CHD). Research suggests this may be due to inequalities in health status and inequities in the way health services respond to need. Little is known about the most effective way to improve health outcomes for people with learning disabilities. A previously developed…

  10. Investigating the impact of the English health inequalities strategy: time trend analysis.

    Science.gov (United States)

    Barr, Ben; Higgerson, James; Whitehead, Margaret

    2017-07-26

    Objective  To investigate whether the English health inequalities strategy was associated with a decline in geographical health inequalities, compared with trends before and after the strategy. Design  Time trend analysis. Setting  Two groups of lower tier local authorities in England. The most deprived, bottom fifth and the rest of England. Intervention  The English health inequalities strategy-a cross government strategy implemented between 1997 and 2010 to reduce health inequalities in England. Trends in geographical health inequalities were assessed before (1983-2003), during (2004-12), and after (2013-15) the strategy using segmented linear regression. Main outcome measure  Geographical health inequalities measured as the relative and absolute differences in male and female life expectancy at birth between the most deprived local authorities in England and the rest of the country. Results  Before the strategy the gap in male and female life expectancy between the most deprived local authorities in England and the rest of the country increased at a rate of 0.57 months each year (95% confidence interval 0.40 to 0.74 months) and 0.30 months each year (0.12 to 0.48 months). During the strategy period this trend reversed and the gap in life expectancy for men reduced by 0.91 months each year (0.54 to 1.27 months) and for women by 0.50 months each year (0.15 to 0.86 months). Since the end of the strategy period the inequality gap has increased again at a rate of 0.68 months each year (-0.20 to 1.56 months) for men and 0.31 months each year (-0.26 to 0.88) for women. By 2012 the gap in male life expectancy was 1.2 years smaller (95% confidence interval 0.8 to 1.5 years smaller) and the gap in female life expectancy was 0.6 years smaller (0.3 to 1.0 years smaller) than it would have been if the trends in inequalities before the strategy had continued. Conclusion  The English health inequalities strategy was associated with a decline in geographical inequalities

  11. Inequalities in health--future threats to equity.

    Science.gov (United States)

    Gunning-Schepers, L J; Stronks, K

    1999-01-01

    In discussions about equity there is a tendency to focus on the inequalities in health status that appear to be the result of the material and immaterial consequences of a lower income, professional or social status in society. If we look at publications such as the Black Report in the UK or Ongelijke gezondheid in The Netherlands, we have to accept that despite our universal access to healthcare and the existence in many Western countries of social security measures that preclude 'real' poverty, considerable differences in health continue to exist between socioeconomic groups. This is corroborated for many other European countries in the research carried out by a concerted action led by Mackenbach. These inequalities in health have been referred to in many countries as inequities, meaning that society finds them unjust and expects them to be 'avoidable' or amenable to policy interventions. However, the research on the causal networks underlying the occurrence and the avoidability of inequalities in health remains sparse and intervention studies seem to focus on policy measures that can be evaluated, but which will most likely have a limited impact on the inequalities measured at the population level. Thus the research community leaves policymakers with very little evidence on which to build policy initiatives that are nevertheless requested by many governments. The third element, which needs to be addressed in this context, is the ominous inequality in access to healthcare. Since the debate on equity in health has rightly been initiated in the context of a broader, more intersectoral approach to health policy, very little attention has been paid, so far, to the issue of universal access to quality healthcare services. This is because in the second half of this century most Western (European) countries have created a healthcare system with universal access, financed either through taxation or through social insurance schemes. It is these financing systems that will

  12. Noise nuisance and health inequalities in Belgium: a population study

    OpenAIRE

    Schmit, C; Lorant, V

    2009-01-01

    Context Lower socioeconomic groups are more likely to live in contaminated environments. This may partly explain socioeconomic health inequalities. Aims Does noise nuisance contribute to socio-economic inequalities in subjective health? Method This research is based on the last Belgian census data carried out in 2001. We work on a 10% sample of the Belgian population. The data are processed through bivariate and multivariate analyses. We model poor subjective health in relation to exposure to...

  13. Beyond the income inequality hypothesis and human health: a worldwide exploration.

    Science.gov (United States)

    Idrovo, Alvaro J; Ruiz-Rodríguez, Myriam; Manzano-Patiño, Abigail P

    2010-08-01

    To analyze whether the relationship between income inequality and human health is mediated through social capital, and whether political regime determines differences in income inequality and social capital among countries. Path analysis of cross sectional ecological data from 110 countries. Life expectancy at birth was the outcome variable, and income inequality (measured by the Gini coefficient), social capital (measured by the Corruption Perceptions Index or generalized trust), and political regime (measured by the Index of Freedom) were the predictor variables. Corruption Perceptions Index (an indirect indicator of social capital) was used to include more developing countries in the analysis. The correlation between Gini coefficient and predictor variables was calculated using Spearman's coefficients. The path analysis was designed to assess the effect of income inequality, social capital proxies and political regime on life expectancy. The path coefficients suggest that income inequality has a greater direct effect on life expectancy at birth than through social capital. Political regime acts on life expectancy at birth through income inequality. Income inequality and social capital have direct effects on life expectancy at birth. The "class/welfare regime model" can be useful for understanding social and health inequalities between countries, whereas the "income inequality hypothesis" which is only a partial approach is especially useful for analyzing differences within countries.

  14. Using Health Literacy in School to Overcome Inequalities

    Science.gov (United States)

    Flecha, Ainhoa; Garcia, Rocio; Rudd, Rima

    2011-01-01

    Health literacy has firmly established the links between literacy skills and health outcomes and is subsequently considered a key strategy for improving the health of disadvantaged populations and addressing social inequality. However, current research findings for improving health literacy have primarily focused on adults and actions within…

  15. [Gender inequality and reproductive health: a perspective for the program].

    Science.gov (United States)

    Szasz, I

    1993-01-01

    Research on the influence of the social, economic, and cultural context on reproductive health is just beginning in Mexico. Because health risks and damage appear to be associated with living conditions of the population, the mechanisms through which social inequality affects reproductive health should be analyzed. Gender inequality is of particular importance to the study of reproductive health. The construction of feminine identity, centered on motherhood and the ability to relate to others, has decisive consequences for self-esteem, social valuation, and the capacity of women to make decisions and act in their own self interest. The obstacles that women face in making decisions about sexuality and reproduction have psychological, affective, and health costs. Women living in contexts of limited female autonomy are often pressured into early pregnancy and union and to having large families. The need to satisfy expectations for their gender and social position, fear of being devalued or abandoned, and the desire to cement affective relationships may restrict their capacity to exercise their sexuality with autonomy and to separate it from procreation. The low rates of use of contraceptives by men and the almost exclusive focus on women of contraceptive technologies and programs also reflect the inequality of the sexes. The lesser access to resources and exercise of power by women in the household may lead to nutritional disadvantages, and societal standards that tolerate extramarital sexual activity for men but not for women leave women vulnerable to sexually transmitted diseases. The health effects of gender inequalities are magnified by poverty and other forms of social disadvantage. The Program of Reproductive Health and Society aims to contribute to improved reproductive health in the Mexican population through study of the consequences of social and gender inequality.

  16. Inequalities in South African health care

    African Journals Online (AJOL)

    address inequalities in health care should commence at the root causes .... sion and disrribution, bear in mind rhat rhere are also rhose mecha- nism and .... gle body is evidem in borh nawmal heallh service syscems and socialised heallh care ...

  17. Inequalities in South African health care

    African Journals Online (AJOL)

    the other to the population as cliemele of that system. Recently the ... divides from which inequalities in this sector emanate are those of .... power for private health care, and fewer srill are insured .... Nurses are mainly employed in public sector.

  18. Socioeconomic hierarchy and health gradient in Europe: the role of income inequality and of social origins.

    Science.gov (United States)

    Chauvel, Louis; Leist, Anja K

    2015-11-14

    Health inequalities reflect multidimensional inequality (income, education, and other indicators of socioeconomic position) and vary across countries and welfare regimes. To which extent there is intergenerational transmission of health via parental socioeconomic status has rarely been investigated in comparative perspective. The study sought to explore if different measures of stratification produce the same health gradient and to which extent health gradients of income and of social origins vary with level of living and income inequality. A total of 299,770 observations were available from 18 countries assessed in EU-SILC 2005 and 2011 data, which contain information on social origins. Income inequality (Gini) and level of living were calculated from EU-SILC. Logit rank transformation provided normalized inequalities and distributions of income and social origins up to the extremes of the distribution and was used to investigate net comparable health gradients in detail. Multilevel random-slope models were run to post-estimate best linear unbiased predictors (BLUPs) and related standard deviations of residual intercepts (median health) and slopes (income-health gradients) per country and survey year. Health gradients varied across different measures of stratification, with origins and income producing significant slopes after controls. Income inequality was associated with worse average health, but income inequality and steepness of the health gradient were only marginally associated. Linear health gradients suggest gains in health per rank of income and of origins even at the very extremes of the distribution. Intergenerational transmission of status gains in importance in countries with higher income inequality. Countries differ in the association of income inequality and income-related health gradient, and low income inequality may mask health problems of vulnerable individuals with low status. Not only income inequality, but other country characteristics such

  19. Steps Toward Technology Design to Beat Health Inequality

    DEFF Research Database (Denmark)

    Bertelsen, Pernille Scholdan; Kanstrup, Anne Marie; Madsen, Jacob

    2017-01-01

    workers in the neighbourhood and how this participatory approach supported a first step toward HIT design that tackles health inequality. This is important, as people in neighbourhoods with high health risks are not the target audience for the health technology innovation currently taking place despite...

  20. Socioeconomic inequality in health in the British Household Panel

    DEFF Research Database (Denmark)

    Foverskov, Else; Holm, Anders

    2016-01-01

    Despite social inequality in health being well documented, it is still debated which causal mechanism best explains the negative association between socioeconomic position (SEP) and health. This paper is concerned with testing the explanatory power of three widely proposed causal explanations...... for social inequality in health in adulthood: the social causation hypothesis (SEP determines health), the health selection hypothesis (health determines SEP) and the indirect selection hypothesis (no causal relationship). We employ dynamic data of respondents aged 30 to 60 from the last nine waves...... of the British Household Panel Survey. Household income and location on the Cambridge Scale is included as measures of different dimensions of SEP and health is measured as a latent factor score. The causal hypotheses are tested using a time-based Granger approach by estimating dynamic fixed effects panel...

  1. Socioeconomic inequality in health in the British household panel

    DEFF Research Database (Denmark)

    Foverskov, Else; Holm, Anders

    2016-01-01

    Despite social inequality in health being well documented, it is still debated which causal mechanism best explains the negative association between socioeconomic position (SEP) and health. This paper is concerned with testing the explanatory power of three widely proposed causal explanations...... for social inequality in health in adulthood: the social causation hypothesis (SEP determines health), the health selection hypothesis (health determines SEP) and the indirect selection hypothesis (no causal relationship). We employ dynamic data of respondents aged 30 to 60 from the last nine waves...... of the British Household Panel Survey. Household income and location on the Cambridge Scale is included as measures of different dimensions of SEP and health is measured as a latent factor score. The causal hypotheses are tested using a time-based Granger approach by estimating dynamic fixed effects panel...

  2. Horizontal Inequity in Health Care Utilization among the Middle-Aged and Elderly in China.

    Science.gov (United States)

    Li, Chaofan; Dou, Lei; Wang, Haipeng; Jing, Shanshan; Yin, Aitian

    2017-07-26

    Equitable utilization of health care is a primary goal of the Chinese health system. This study aimed to examine horizontal inequity in health care utilization and identify the factors resulting in inequity among the middle-aged and elderly in China. The data were obtained from the China Health and Retirement Longitudinal Study (CHARLS). We employed the concentration index (CI) and horizontal inequity (HI) to measure inequity in health care utilization. Non-linear regression models were used to decompose the CI into the contribution of each factor. The CIs for the probability of and total number of outpatient visits were 0.0642 and 0.0780, respectively, and those for inpatient visits were 0.1418 and 0.1471, respectively. The HIs were also significantly positive. Living standard was the most important contributor. The contribution of health insurance varied between plans. This study supported the presence of pro-rich inequity in health care utilization for both probability and frequency among the middle-aged and elderly in China. Narrowing the living standard gap and improving the health insurance benefit package for the elderly should help to resolve these inequities.

  3. Area-level income inequality and oral health among Australian adults-A population-based multilevel study.

    Directory of Open Access Journals (Sweden)

    Ankur Singh

    Full Text Available A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (<21 teeth and poor self-rated oral health among Australian adults. Variations in the association between area-level income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared.For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income.LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87 after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality.Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income

  4. [Health and determinants of health in second generations of international immigrants: Social inequalities in health since childhood?

    Science.gov (United States)

    González-Rábago, Yolanda; Martín, Unai

    2017-12-11

    To analyse the social inequalities in health between children and youth population of an immigrant origin from low-income countries and those of native origin in the Basque Country. Cross-sectional descriptive study using data from the Basque Country Health Survey 2013. Variables of health, behaviours and life conditions were used as the outcome variables. Prevalence ratios were calculated using robust Poisson models. The children with immigrant parents had poorer self-rated health, a higher prevalence of obesity, spent more hours in sedentary activities and lived in households with greater economic difficulties. The differences persisted even after adjusting for social class and educational level of parents. A migrant background is a highly relevant axis of health inequalities and has an influence beyond a generation. Given this reality, it is necessary to implement effective and suitable measures to ensure life with good health conditions and to reduce social inequalities in health, not only in childhood but through the entire life cycle. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  5. Consideration of health inequalities in systematic reviews: a mapping review of guidance.

    Science.gov (United States)

    Maden, Michelle

    2016-11-28

    Given that we know that interventions shown to be effective in improving the health of a population may actually widen the health inequalities gap while others reduce it, it is imperative that all systematic reviewers consider how the findings of their reviews may impact (reduce or increase) on the health inequality gap. This study reviewed existing guidance on incorporating considerations of health inequalities in systematic reviews in order to examine the extent to which they can help reviewers to incorporate such issues. A mapping review was undertaken to identify guidance documents that purported to inform reviewers on whether and how to incorporate considerations of health inequalities. Searches were undertaken in Medline, CINAHL and The Cochrane Library Methodology Register. Review guidance manuals prepared by international organisations engaged in undertaking systematic reviews, and their associated websites were scanned. Studies were included if they provided an overview or discussed the development and testing of guidance for dealing with the incorporation of considerations of health inequalities in evidence synthesis. Results are summarised in narrative and tabular forms. Twenty guidance documents published between 2009 and 2016 were included. Guidance has been produced to inform considerations of health inequalities at different stages of the systematic review process. The Campbell and Cochrane Equity Group have been instrumental in developing and promoting such guidance. Definitions of health inequalities and guidance differed across the included studies. All but one guidance document were transparent in their method of production. Formal methods of evaluation were reported for six guidance documents. Most of the guidance was operationalised in the form of examples taken from published systematic reviews. The number of guidance items to operationalise ranges from 3 up to 26 with a considerable overlap noted. Adhering to the guidance will require more

  6. Trends in socioeconomic inequalities in self-assessed health in 10 European countries

    DEFF Research Database (Denmark)

    Kunst, Anton E; Bos, Vivian; Lahelma, Eero

    2005-01-01

    BACKGROUND: Changes over time in inequalities in self-reported health are studied for increasingly more countries, but a comprehensive overview encompassing several countries is still lacking. The general aim of this article is to determine whether inequalities in self-assessed health in 10...... Germany, Austria, Italy, and Spain. The proportion of respondents with self-assessed health less than 'good' was measured in relation to educational level and income level. Inequalities were measured by means of age-standardized prevalence rates and odds ratios (ORs). RESULTS: Socioeconomic inequalities...... in self-assessed health showed a high degree of stability in European countries. For all countries together, the ORs comparing low with high educational levels remained stable for men (2.61 in the 1980s and 2.54 in the 1990s) but increased slightly for women (from 2.48 to 2.70). The ORs comparing extreme...

  7. The Health Effects of Income Inequality: Averages and Disparities.

    Science.gov (United States)

    Truesdale, Beth C; Jencks, Christopher

    2016-01-01

    Much research has investigated the association of income inequality with average life expectancy, usually finding negative correlations that are not very robust. A smaller body of work has investigated socioeconomic disparities in life expectancy, which have widened in many countries since 1980. These two lines of work should be seen as complementary because changes in average life expectancy are unlikely to affect all socioeconomic groups equally. Although most theories imply long and variable lags between changes in income inequality and changes in health, empirical evidence is confined largely to short-term effects. Rising income inequality can affect individuals in two ways. Direct effects change individuals' own income. Indirect effects change other people's income, which can then change a society's politics, customs, and ideals, altering the behavior even of those whose own income remains unchanged. Indirect effects can thus change both average health and the slope of the relationship between individual income and health.

  8. Policies to tackle health inequalities in Norway: from laggard to pioneer?

    Science.gov (United States)

    Dahl, Espen; Lie, Marit

    2009-01-01

    This study addresses recent public health policies in Norway, asking how policies on health inequalities have developed over the past 20 years. The authors focus on how the problem has been defined, what goals have been set, and what means have been put forward to achieve them. The data consist of official documents and interviews of key actors in research and the health bureaucracy. The results indicate that the theme of health inequalities has developed from a non-topic to a high-priority topic in Norway's public health policy. This change has been accompanied by formulation of clear goals and an overarching and long-term strategy, including concrete means to reduce health inequalities. Over the past five years, the problem definition has changed from one of individualization with a focus on health behaviors to a structural understanding that emphasizes the problem of the gradient and social determinants of health. Norway is on the move from a state of political indifference toward action in developing comprehensive, coordinating policy.

  9. New report highlights epidemic of tobacco and global health inequalities

    Science.gov (United States)

    A new set of 11 global health studies calls attention to the burden of tobacco-related inequalities in low- and middle-income countries and finds that socioeconomic inequalities are associated with increased tobacco use, second-hand smoke exposure and tob

  10. Adaptive Policies for Reducing Inequalities in the Social Determinants of Health

    Directory of Open Access Journals (Sweden)

    Gemma Carey

    2015-11-01

    Full Text Available Inequalities in the social determinants of health (SDH, which drive avoidable health disparities between different individuals or groups, is a major concern for a number of international organisations, including the World Health Organization (WHO. Despite this, the pathways to changing inequalities in the SDH remain elusive. The methodologies and concepts within system science are now viewed as important domains of knowledge, ideas and skills for tackling issues of inequality, which are increasingly understood as emergent properties of complex systems. In this paper, we introduce and expand the concept of adaptive policies to reduce inequalities in the distribution of the SDH. The concept of adaptive policy for health equity was developed through reviewing the literature on learning and adaptive policies. Using a series of illustrative examples from education and poverty alleviation, which have their basis in real world policies, we demonstrate how an adaptive policy approach is more suited to the management of the emergent properties of inequalities in the SDH than traditional policy approaches. This is because they are better placed to handle future uncertainties. Our intention is that these examples are illustrative, rather than prescriptive, and serve to create a conversation regarding appropriate adaptive policies for progressing policy action on the SDH.

  11. Poverty and inequality - but of what - as social determinants of health in Africa?

    Science.gov (United States)

    Worku, Eshetu B; Woldesenbet, Selamawit A

    2015-12-01

    Many African economies have achieved substantial economic growth over the past recent years, yet several of the Millennium Development Goals (MDGs) including those concerned with health, remain considerably behind target. This paper examines whether progress towards these goals is being hampered by existing levels of poverty and income inequality. It also considers whether the inequality hypothesis of Wilkinson and Pickett1 applies to population health outcomes in African states. Correlation analysis and scatter plots were used to assess graphically the link between variations in health outcomes, level of poverty and income inequality in different countries. Health status outcomes were measured by using four indicators: infant and under-five (child) mortality rates; maternal mortality ratios; and life expectancy at birth. In each of the 52 African nations, the proportion of the population living below the poverty line is used as an indicator of the level of poverty and Gini coefficient as a measure of income inequality. The study used a comprehensive review of secondary and relevant literature that are pertinent in the subject area. The data datasets obtained online from UNICEF2 and UNDP3 (2009) used to test the research questions. World Health Organization the three broad dimensions to consider when moving towards better population health outcome through Universal Health Coverage and the Social Determinants of Health framework reviewed to establish the poverty and income inequality link in African countries population health outcomes. The study shows that poverty is strongly associated with all health outcome differences in Africa (IMR, cc = 0.63; U5MR, cc = 0.64; MMR, cc = 0.49; life expectancy at birth, cc = -0.67); income inequality with only one of the four indicators (IMR, cc = 0.14; U5MR, cc = 0.07; MMR, cc = 0.22; life expectancy at birth, cc = -0.49), whereas income inequality is associated with one of the four indicators. The study shows that tackling

  12. Social policies and the pathways to inequalities in health

    DEFF Research Database (Denmark)

    Whitehead, M; Burström, B; Diderichsen, Finn

    2000-01-01

    in relation to the identified policy entry points. Overall, in Britain, around 50% of the health disadvantage of lone mothers is accounted for by the mediating factors of poverty and joblessness, whereas in Sweden these factors only account for between 3% and 13% of the health gap. The final section discusses......The aim of this study is to contribute to the emerging field of health inequalities impact assessment. It develops further a conceptual framework that encompasses the policy context as well as the pathways leading from social position to inequalities in health. It then uses this framework...... the implications of the findings for future policy intervention and research in the two countries....

  13. Socioeconomic determinants of health inequalities among the older population in India: a decomposition analysis.

    Science.gov (United States)

    Goli, Srinivas; Singh, Lucky; Jain, Kshipra; Pou, Ladumai Maikho Apollo

    2014-12-01

    This study quantified and decomposed health inequalities among the older population in India and analyzes how health status varies for populations between 60 to 69 years and 70 years and above. Data from the 60th round of the National Sample Survey (NSS) was used for the analyses. Socioeconomic inequalities in health status were measured by using Concentration Index (CI) and further decomposed to find critical determinants and their relative contributions to total health inequality. Overall, CI estimates were negative for the older population as a whole (CI = -0.1156), as well as for two disaggregated groups, 60 to 69 years (CI = -0.0943) and 70 years and above (CI = -0.08198). This suggests that poor health status is more concentrated among the socioeconomically disadvantaged older population. Decomposition analyses revealed that poor economic status (54 %) is the dominant contributor to total health inequalities in the older population, followed by illiteracy (24 %) and rural place of residence (20 %). Other indicators, such as religion, gender and marital status were positive, while Caste was negatively associated with health inequality in the older populations. Finally, a comparative assessment of decomposition results suggest that critical contributors for health inequality vary for the older population of 60 to 69 years and 70 years and above. These findings provide important insights on health inequalities among the older population in India. Implications are advanced.

  14. Area-level income inequality and oral health among Australian adults-A population-based multilevel study.

    Science.gov (United States)

    Singh, Ankur; Harford, Jane; Antunes, José Leopoldo Ferreira; Peres, Marco A

    2018-01-01

    A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and inadequate dentition is likely due to the contextual differences between Australia and other high-income countries.

  15. Area-level income inequality and oral health among Australian adults—A population-based multilevel study

    Science.gov (United States)

    2018-01-01

    Background A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. Methods For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. Results LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Conclusion Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and inadequate dentition is likely due to the contextual differences between Australia

  16. Impact of maternal and neonatal health initiatives on inequity in maternal health care utilization in Bangladesh.

    Science.gov (United States)

    Haider, Mohammad Rifat; Rahman, Mohammad Masudur; Moinuddin, Md; Rahman, Ahmed Ehsanur; Ahmed, Shakil; Khan, M Mahmud

    2017-01-01

    Despite remarkable progress in maternal and child health, inequity persists in maternal care utilization in Bangladesh. Government of Bangladesh (GOB) with technical assistance from United Nation Population Fund (UNFPA), United Nation Children's Fund (UNICEF) and World Health Organization (WHO) started implementing Maternal and Neonatal Health Initiatives in selected districts of Bangladesh (MNHIB) in 2007 with an aim to reduce inequity in healthcare utilization. This study examines the effect of MNHIB on inequity in maternal care utilization. Two surveys were carried out in four districts in Bangladesh- baseline in 2008 and end-line in 2013. The baseline survey collected data from 13,206 women giving birth in the preceding year and in end-line 7,177 women were interviewed. Inequity in maternal healthcare utilization was calculated pre and post-MNHIB using rich-to-poor ratio and concentration index. Mean age of respondents were 23.9 and 24.6 years in 2008 and 2013 respectively. Utilization of pregnancy-related care increased for all socioeconomic strata between these two surveys. The concentration indices (CI) for various maternal health service utilization in 2013 were found to be lower than the indices in 2008. However, in comparison to contemporary BDHS data in nearby districts, MNHIB was successful in reducing inequity in receiving ANC from a trained provider (CI: 0.337 and 0.272), institutional delivery (CI: 0.435 in 2008 to 0.362 in 2013), and delivery by skilled personnel (CI: 0.396 and 0.370). Overall use of maternal health care services increased in post-MNHIB year compared to pre-MNHIB year and inequity in maternal service utilization declined for three indicators out of six considered in the paper. The reductions in CI values for select maternal care indicators imply that the program has been successful not only in improving utilization of maternal health services but also in lowering inequality of service utilization across socioeconomic groups

  17. Income inequality, social capital and self-rated health and dental status in older Japanese.

    Science.gov (United States)

    Aida, Jun; Kondo, Katsunori; Kondo, Naoki; Watt, Richard G; Sheiham, Aubrey; Tsakos, Georgios

    2011-11-01

    The erosion of social capital in more unequal societies is one mechanism for the association between income inequality and health. However, there are relatively few multi-level studies on the relation between income inequality, social capital and health outcomes. Existing studies have not used different types of health outcomes, such as dental status, a life-course measure of dental disease reflecting physical function in older adults, and self-rated health, which reflects current health status. The objective of this study was to assess whether individual and community social capital attenuated the associations between income inequality and two disparate health outcomes, self-rated health and dental status in Japan. Self-administered questionnaires were mailed to subjects in an ongoing Japanese prospective cohort study, the Aichi Gerontological Evaluation Study Project in 2003. Responses in Aichi, Japan, obtained from 5715 subjects and 3451 were included in the final analysis. The Gini coefficient was used as a measure of income inequality. Trust and volunteering were used as cognitive and structural individual-level social capital measures. Rates of subjects reporting mistrust and non-volunteering in each local district were used as cognitive and structural community-level social capital variables respectively. The covariates were sex, age, marital status, education, individual- and community-level equivalent income and smoking status. Dichotomized responses of self-rated health and number of remaining teeth were used as outcomes in multi-level logistic regression models. Income inequality was significantly associated with poor dental status and marginally significantly associated with poor self-rated health. Community-level structural social capital attenuated the covariate-adjusted odds ratio of income inequality for self-rated health by 16% whereas the association between income inequality and dental status was not substantially changed by any social capital

  18. Decomposing socioeconomic inequality in self-rated health in Tehran.

    Science.gov (United States)

    Nedjat, Saharnaz; Hosseinpoor, Ahmad Reza; Forouzanfar, Mohammad Hossein; Golestan, Banafsheh; Majdzadeh, Reza

    2012-06-01

    Measuring the distribution of health is a part of assessing health system performance. This study aims to estimate health inequality between different socioeconomic groups and its determinants in Tehran, the capital of Iran. Self-rated health (SRH) and demographic characteristics, including gender, age, marital status, educational years, and assets, were measured by structured interviews of 2464 residents of Tehran in 2008. A concentration index was calculated to measure health inequality by economic status. The association of potential determinants and SRH was assessed through multivariate logistic regression. The contribution to concentration index of level of education, marital status and other determining factors was assessed by decomposition. The mean age of respondents was 41.4 years (SD 17.7) and 49% of them were men. The mean score of SRH status was 3.72 (range: 1-5; SD 0.93). 282 respondents (11.5%) rated their health status as poor or very poor. The concentration index was -0.29 (SE 0.03; pinequality in SRH were economic status (47.8%), level of education (29.2%) and age (23.0%). Sub-optimal SRH was more in lower than in higher economic status. After controlling for age, the levels of education and household wealth have the greatest contributions to SRH inequality.

  19. Wireless Smart Sensor Network System Using SmartBridge Sensor Nodes for Structural Health Monitoring of Existing Concrete Bridges

    Science.gov (United States)

    Gaviña, J. R.; Uy, F. A.; Carreon, J. D.

    2017-06-01

    There are over 8000 bridges in the Philippines today according to the Department of Public Works and Highways (DPWH). Currently, visual inspection is the most common practice in monitoring the structural integrity of bridges. However, visual inspections have proven to be insufficient in determining the actual health or condition of a bridge. Structural Health Monitoring (SHM) aims to give, in real-time, a diagnosis of the actual condition of the bridge. In this study, SmartBridge Sensor Nodes were installed on an existing concrete bridge with American Association of State Highway and Transportation Officials (AASHTO) Type IV Girders to gather vibration of the elements of the bridge. Also, standards on the effective installation of SmartBridge Sensor Nodes, such as location and orientation was determined. Acceleration readings from the sensor were then uploaded to a server, wherein they are monitored against certain thresholds, from which, the health of the bridge will be derived. Final output will be a portal or webpage wherein the information, health, and acceleration readings of the bridge will be available for viewing. With levels of access set for different types of users, the main users will have access to download data and reports. Data transmission and webpage access are available online, making the SHM system wireless.

  20. Understanding determinants of socioeconomic inequality in mental health in Iran's capital, Tehran: a concentration index decomposition approach.

    Science.gov (United States)

    Morasae, Esmaeil Khedmati; Forouzan, Ameneh Setareh; Majdzadeh, Reza; Asadi-Lari, Mohsen; Noorbala, Ahmad Ali; Hosseinpoor, Ahmad Reza

    2012-03-26

    Mental health is of special importance regarding socioeconomic inequalities in health. On the one hand, mental health status mediates the relationship between economic inequality and health; on the other hand, mental health as an "end state" is affected by social factors and socioeconomic inequality. In spite of this, in examining socioeconomic inequalities in health, mental health has attracted less attention than physical health. As a first attempt in Iran, the objectives of this paper were to measure socioeconomic inequality in mental health, and then to untangle and quantify the contributions of potential determinants of mental health to the measured socioeconomic inequality. In a cross-sectional observational study, mental health data were taken from an Urban Health Equity Assessment and Response Tool (Urban HEART) survey, conducted on 22 300 Tehran households in 2007 and covering people aged 15 and above. Principal component analysis was used to measure the economic status of households. As a measure of socioeconomic inequality, a concentration index of mental health was applied and decomposed into its determinants. The overall concentration index of mental health in Tehran was -0.0673 (95% CI = -0.070 - -0.057). Decomposition of the concentration index revealed that economic status made the largest contribution (44.7%) to socioeconomic inequality in mental health. Educational status (13.4%), age group (13.1%), district of residence (12.5%) and employment status (6.5%) also proved further important contributors to the inequality. Socioeconomic inequalities exist in mental health status in Iran's capital, Tehran. Since the root of this avoidable inequality is in sectors outside the health system, a holistic mental health policy approach which includes social and economic determinants should be adopted to redress the inequitable distribution of mental health.

  1. Africanizing the social determinants of health: embedded structural inequalities and current health outcomes in sub-Saharan Africa.

    Science.gov (United States)

    Ichoku, Hyacinth Eme; Mooney, Gavin; Ataguba, John Ele-Ojo

    2013-01-01

    There is a growing interest in health policy in the social determinants of health. This has increased the demand for a paradigm shift within the discipline of health economics from health care economics to health economics. While the former involves what is essentially a medical model that emphasizes the maximization of individual health outcomes and considers the social organization of the health system as merely instrumental, the latter emphasizes that health and its distribution result from political, social, economic, and cultural structures. The discipline of health economics needs to refocus its energy on the social determinants of health but, in doing so, must dig deeper into the reasons for structurally embedded inequalities that give rise to inequalities in health outcomes. Especially is this the case in Africa and other low- and middle-income regions. This article seeks to provide empirical evidence from sub-Saharan Africa, including Ghana and Nigeria, on why such inequalities exist, arguing that these are in large part a product of hangovers from historically entrenched institutions. It argues that there is a need for research in health economics to embrace the social determinants of health, especially inequality, and to move away from its current mono-cultural focus.

  2. Social inequalities in health: measuring the contribution of housing deprivation and social interactions for Spain.

    Science.gov (United States)

    Urbanos-Garrido, Rosa M

    2012-12-14

    Social factors have been proved to be main determinants of individuals' health. Recent studies have also analyzed the contribution of some of those factors, such as education and job status, to socioeconomic inequalities in health. The aim of this paper is to provide new evidence about the factors driving socioeconomic inequalities in health for the Spanish population by including housing deprivation and social interactions as health determinants. Cross-sectional study based on the Spanish sample of European Statistics on Income and Living Conditions (EU-SILC) for 2006. The concentration index measuring income-related inequality in health is decomposed into the contribution of each determinant. Several models are estimated to test the influence of different regressors for three proxies of ill-health. Health inequality favouring the better-off is observed in the distribution of self-assessed health, presence of chronic diseases and presence of limiting conditions. Inequality is mainly explained, besides age, by social factors such as labour status and financial deprivation. Housing deprivation contributes to pro-rich inequality in a percentage ranging from 7.17% to 13.85%, and social interactions from 6.16% to 10.19%. The contribution of some groups of determinants significantly differs depending on the ill-health variable used. Health inequalities can be mostly reduced or shaped by policy, as they are mainly explained by social determinants such as labour status, education and other socioeconomic conditions. The major role played on health inequality by variables taking part in social exclusion points to the need to focus on the most vulnerable groups.

  3. Horizontal Inequity in Elderly Health Care Utilization: Evidence from India

    Science.gov (United States)

    Rudra, Shalini; Subramanian, S V

    2015-01-01

    Against the backdrop of population aging, this paper presents the analysis of need-standardised health care utilization among elderly in India. Based on nationally representative morbidity and health care survey 2004, we demonstrate that the need for health care utilization is indeed pro-poor in nature. However, the actual health care utilization is concentrated among richer sections of the population. Further, the decomposition analysis reveals that income has a very strong role in shifting the distribution of health care away from the poor elderly. The impact of income on utilization is well-demonstrated even at the ecological-level as states with higher per capita incomes have higher elderly health care utilization even as the levels of need-predicted distribution across these states are similar. We also find that the distribution of elderly across social groups and their educational achievements favours the rich and significantly contributes to overall inequality. Nevertheless, contribution of need-related self-assessed health clearly favours pro-poor inequality. In concluding, we argue that to reduce such inequities in health care utilization it is necessary to increase public investments in health care infrastructure including geriatric care particularly in rural areas and underdeveloped regions to enhance access and quality of health care for the elderly. PMID:26617450

  4. Robust rankings of socioeconomic health inequality using a categorical variable.

    Science.gov (United States)

    Makdissi, Paul; Yazbeck, Myra

    2017-09-01

    When assessing socioeconomic health inequalities, researchers often draw upon measures of income inequality that were developed for ratio scale variables. As a result, the use of categorical data (such as self-reported health status) produces rankings that may be arbitrary and contingent to the numerical scale adopted. In this paper, we develop a method that overcomes this issue by providing conditions for which these rankings are invariant to the numerical scale chosen by the researcher. In doing so, we draw on the insight provided by Allison and Foster (2004) and extend their method to the dimension of socioeconomic inequality by exploiting the properties of rank-dependent indices such as Wagstaff (2002) achievement and extended concentration indices. We also provide an empirical illustration using the National Institute of Health Survey 2012. Copyright © 2017 John Wiley & Sons, Ltd.

  5. Population health in an era of rising income inequality: USA, 1980-2015.

    Science.gov (United States)

    Bor, Jacob; Cohen, Gregory H; Galea, Sandro

    2017-04-08

    Income inequality in the USA has increased over the past four decades. Socioeconomic gaps in survival have also increased. Life expectancy has risen among middle-income and high-income Americans whereas it has stagnated among poor Americans and even declined in some demographic groups. Although the increase in income inequality since 1980 has been driven largely by soaring top incomes, the widening of survival inequalities has occurred lower in the distribution-ie, between the poor and upper-middle class. Growing survival gaps across income percentiles since 2001 reflect falling real incomes among poor Americans as well as an increasingly strong association between low income and poor health. Changes in individual risk factors such as smoking, obesity, and substance abuse play a part but do not fully explain the steeper gradient. Distal factors correlated with rising inequality including unequal access to technological innovations, increased geographical segregation by income, reduced economic mobility, mass incarceration, and increased exposure to the costs of medical care might have reduced access to salutary determinants of health among low-income Americans. Having missed out on decades of income growth and longevity gains, low-income Americans are increasingly left behind. Without interventions to decouple income and health, or to reduce inequalities in income, we might see the emergence of a 21st century health-poverty trap and the further widening and hardening of socioeconomic inequalities in health. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. What Causes Environmental Inequalities and Related Health Effects? An Analysis of Evolving Concepts

    Science.gov (United States)

    Kruize, Hanneke; Droomers, Mariël; van Kamp, Irene; Ruijsbroek, Annemarie

    2014-01-01

    Early environmental justice studies were exposure-oriented, lacked an integrated approach, and did not address the health impact of environmental inequalities. A coherent conceptual framework, needed to understand and tackle environmental inequalities and the related health effects, was lacking. We analyzed the more recent environmental justice literature to find out how conceptual insights have evolved. The conceptual framework of the WHO Commission on Social Determinants of Health (CSDH) was analyzed for additional explanations for environmental inequalities and the related health effects. This paper points out that recent environmental justice studies have broadened their scope by incorporating a broader set of physical and social environmental indicators, and by focusing on different geographic levels and on health impacts of environmental inequalities. The CSDH framework provided additional elements such as the role of structural determinants, the role of health-related behavior in relation to the physical and social environment, access to health care, as well as the life course perspective. Incorporating elements of the CSDH framework into existing environmental justice concepts, and performing more empirical research on the interactions between the different determinants at different geographical levels would further improve our understanding of environmental inequalities and their health effects and offer new opportunities for policy action. PMID:24886752

  7. What Causes Environmental Inequalities and Related Health Effects? An Analysis of Evolving Concepts

    Directory of Open Access Journals (Sweden)

    Hanneke Kruize

    2014-05-01

    Full Text Available Early environmental justice studies were exposure-oriented, lacked an integrated approach, and did not address the health impact of environmental inequalities. A coherent conceptual framework, needed to understand and tackle environmental inequalities and the related health effects, was lacking. We analyzed the more recent environmental justice literature to find out how conceptual insights have evolved. The conceptual framework of the WHO Commission on Social Determinants of Health (CSDH was analyzed for additional explanations for environmental inequalities and the related health effects. This paper points out that recent environmental justice studies have broadened their scope by incorporating a broader set of physical and social environmental indicators, and by focusing on different geographic levels and on health impacts of environmental inequalities. The CSDH framework provided additional elements such as the role of structural determinants, the role of health-related behavior in relation to the physical and social environment, access to health care, as well as the life course perspective. Incorporating elements of the CSDH framework into existing environmental justice concepts, and performing more empirical research on the interactions between the different determinants at different geographical levels would further improve our understanding of environmental inequalities and their health effects and offer new opportunities for policy action.

  8. Increase in social inequality in health expectancy in Denmark

    DEFF Research Database (Denmark)

    Brønnum-Hansen, Henrik; Baadsgaard, Mikkel

    2008-01-01

    AIMS: Health expectancy represents the average lifetime in various states of health and differs among social groups. The purpose of the study was to determine trends in social inequality in health expectancy since 1994 between groups with high, medium and low educational levels in Denmark. METHODS...... educational level, the increase was 2.7 years for men and 2.2 years for women. The difference between people with low and high educational level in expected lifetime in self-rated good health increased by 2.0 and 1.3 years for 30-year-old men and women, respectively. The social gap also increased for other...... indicators. CONCLUSIONS: During the past 12 years, social inequality in life expectancy and health expectancy has increased in Denmark, but the proportion of the population with a low educational level has decreased....

  9. The cost of child health inequalities in Aotearoa New Zealand: a preliminary scoping study.

    Science.gov (United States)

    Mills, Clair; Reid, Papaarangi; Vaithianathan, Rhema

    2012-05-28

    Health inequalities have been extensively documented, internationally and in New Zealand. The cost of reducing health inequities is often perceived as high; however, recent international studies suggest the cost of "doing nothing" is itself significant. This study aimed to develop a preliminary estimate of the economic cost of health inequities between Māori (indigenous) and non-Māori children in New Zealand. Standard quantitative epidemiological methods and "cost of illness" methodology were employed, within a Kaupapa Māori theoretical framework. Data were obtained from national data collections held by the New Zealand Health Information Service and other health sector agencies. Preliminary estimates suggest child health inequities between Māori and non-Māori in New Zealand are cost-saving to the health sector. However the societal costs are significant. A conservative "base case" scenario estimate is over $NZ62 million per year, while alternative costing methods yield larger costs of nearly $NZ200 million per annum. The total cost estimate is highly sensitive to the costing method used and Value of Statistical Life applied, as the cost of potentially avoidable deaths of Māori children is the major contributor to this estimate. This preliminary study suggests that health sector spending is skewed towards non-Māori children despite evidence of greater Māori need. Persistent child health inequities result in significant societal economic costs. Eliminating child health inequities, particularly in primary care access, could result in significant economic benefits for New Zealand. However, there are conceptual, ethical and methodological challenges in estimating the economic cost of child health inequities. Re-thinking of traditional economic frameworks and development of more appropriate methodologies is required.

  10. Impact of pay for performance on inequalities in health care: systematic review.

    Science.gov (United States)

    Alshamsan, Riyadh; Majeed, Azeem; Ashworth, Mark; Car, Josip; Millett, Christopher

    2010-07-01

    To assess the impact of pay for performance programmes on inequalities in the quality of health care in relation to age, sex, ethnicity and socioeconomic status. Systematic search and appraisal of experimental or observational studies that assessed quantitatively the impact of a monetary incentive on health care inequalities. We searched published articles in English identified in the MEDLINE, EMBASE, PsycINFO and Cochrane databases. Twenty-two studies were identified, 20 of which were conducted in the United Kingdom and examined the impact of the Quality and Outcomes Framework. Sixteen studies used practice level data rather than patient level data. Socioeconomic status was the most frequently examined inequality; age, sex and ethnic inequalities were less frequently assessed. There was some weak evidence that the use of financial incentives reduced inequalities in chronic disease management between socioeconomic groups. Inequalities in chronic disease management between age, sex and ethnic groups persisted after the use of such incentives. Inequalities in chronic disease management have largely persisted after the introduction of the Quality and Outcome Framework. Pay for performance programmes should be designed to reduce inequalities as well as improve the overall quality of care.

  11. Time to address gender discrimination and inequality in the health workforce

    OpenAIRE

    Newman, Constance

    2014-01-01

    Gender is a key factor operating in the health workforce. Recent research evidence points to systemic gender discrimination and inequalities in health pre-service and in-service education and employment systems. Human resources for health (HRH) leaders’ and researchers’ lack of concerted attention to these inequalities is striking, given the recognition of other forms of discrimination in international labour rights and employment law discourse. If not acted upon, gender discrimination and in...

  12. Pathways of economic inequalities in maternal and child health in urban India: a decomposition analysis.

    Science.gov (United States)

    Goli, Srinivas; Doshi, Riddhi; Perianayagam, Arokiasamy

    2013-01-01

    Children and women comprise vulnerable populations in terms of health and are gravely affected by the impact of economic inequalities through multi-dimensional channels. Urban areas are believed to have better socioeconomic and maternal and child health indicators than rural areas. This perception leads to the implementation of health policies ignorant of intra-urban health inequalities. Therefore, the objective of this study is to explain the pathways of economic inequalities in maternal and child health indicators among the urban population of India. Using data from the third wave of the National Family Health Survey (NFHS, 2005-06), this study calculated relative contribution of socioeconomic factors to inequalities in key maternal and child health indicators such as antenatal check-ups (ANCs), institutional deliveries, proportion of children with complete immunization, proportion of underweight children, and Infant Mortality Rate (IMR). Along with regular CI estimates, this study applied widely used regression-based Inequality Decomposition model proposed by Wagstaff and colleagues. The CI estimates show considerable economic inequalities in women with less than 3 ANCs (CI = -0.3501), institutional delivery (CI = -0.3214), children without fully immunization (CI = -0.18340), underweight children (CI = -0.19420), and infant deaths (CI = -0.15596). Results of the decomposition model reveal that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical factors contributing to economic inequalities in maternal and child health indicators. The residuals in all the decomposition models are very less; this implies that the above mentioned factors explained maximum inequalities in maternal and child health of urban population in India. Findings suggest that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical pathways through which economic factors operate on inequalities in

  13. Pathways of economic inequalities in maternal and child health in urban India: a decomposition analysis.

    Directory of Open Access Journals (Sweden)

    Srinivas Goli

    Full Text Available BACKGROUND/OBJECTIVE: Children and women comprise vulnerable populations in terms of health and are gravely affected by the impact of economic inequalities through multi-dimensional channels. Urban areas are believed to have better socioeconomic and maternal and child health indicators than rural areas. This perception leads to the implementation of health policies ignorant of intra-urban health inequalities. Therefore, the objective of this study is to explain the pathways of economic inequalities in maternal and child health indicators among the urban population of India. METHODS: Using data from the third wave of the National Family Health Survey (NFHS, 2005-06, this study calculated relative contribution of socioeconomic factors to inequalities in key maternal and child health indicators such as antenatal check-ups (ANCs, institutional deliveries, proportion of children with complete immunization, proportion of underweight children, and Infant Mortality Rate (IMR. Along with regular CI estimates, this study applied widely used regression-based Inequality Decomposition model proposed by Wagstaff and colleagues. RESULTS: The CI estimates show considerable economic inequalities in women with less than 3 ANCs (CI = -0.3501, institutional delivery (CI = -0.3214, children without fully immunization (CI = -0.18340, underweight children (CI = -0.19420, and infant deaths (CI = -0.15596. Results of the decomposition model reveal that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical factors contributing to economic inequalities in maternal and child health indicators. The residuals in all the decomposition models are very less; this implies that the above mentioned factors explained maximum inequalities in maternal and child health of urban population in India. CONCLUSION: Findings suggest that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical

  14. Linkage of data in the study of ethnic inequalities and inequities in health outcomes in Scotland, New Zealand and the Netherlands: Insights for global study of ethnicity and health

    NARCIS (Netherlands)

    Johnman, C.; Blakely, T.; Bansal, N.; Agyemang, C.; Ward, H.

    2012-01-01

    Reducing inequalities in health is a global priority. An essential tool in achieving this reduction is the ability to provide valid measurements of inequalities, which are comparable over time and ultimately across countries and continents. With valid data a true understanding of inequalities can be

  15. How do people attribute income-related inequalities in health? A cross-sectional study in Ontario, Canada.

    Directory of Open Access Journals (Sweden)

    Aisha Lofters

    Full Text Available CONTEXT: Substantive equity-focused policy changes in Ontario, Canada have yet to be realized and may be limited by a lack of widespread public support. An understanding of how the public attributes inequalities can be informative for developing widespread support. Therefore, the objectives of this study were to examine how Ontarians attribute income-related health inequalities. METHODS: We conducted a telephone survey of 2,006 Ontarians using random digit dialing. The survey included thirteen questions relevant to the theme of attributions of income-related health inequalities, with each statement linked to a known social determinant of health. The statements were further categorized depending on whether the statement was framed around blaming the poor for health inequalities, the plight of the poor as a cause of health inequalities, or the privilege of the rich as a cause of health inequalities. RESULTS: There was high agreement for statements that attributed inequalities to differences between the rich and the poor in terms of employment, social status, income and food security, and conversely, the least agreement for statements that attributed inequalities to differences in terms of early childhood development, social exclusion, the social gradient and personal health practices and coping skills. Mean agreement was lower for the two statements that suggested blame for income-related health inequalities lies with the poor (43.1% than for the three statements that attributed inequalities to the plight of the poor (58.3% or the eight statements that attributed inequalities to the privilege of the rich (58.7%. DISCUSSION: A majority of this sample of Ontarians were willing to attribute inequalities to the social determinants of health, and were willing to accept messages that framed inequalities around the privilege of the rich or the plight of the poor. These findings will inform education campaigns, campaigns aimed at increasing public support

  16. Income inequality, disinvestment in health care and use of dental services.

    Science.gov (United States)

    Bhandari, Bishal; Newton, Jonathan T; Bernabé, Eduardo

    2015-01-01

    To explore the interrelationships between income inequality, disinvestment in health care, and use of dental services at country level. This study pooled national estimates for use of dental services among adults aged 18 years or older from the 70 countries that participated in the World Health Survey from 2002 to 2004, together with aggregate data on national income (GDP per capita), income inequality (Gini coefficient), and disinvestment in health care (total health expenditure and dentist-to-population ratio) from various international sources. Use of dental services was defined as having had dental problems in the last 12 months and having received any treatment to address those needs. Associations between variables were explored using Pearson correlation coefficients and linear regression. Data from 63 countries representing the six WHO regions were analyzed. Use of dental services was negatively correlated with Gini coefficient (Pearson correlation coefficient -0.48, P dental services was attenuated but remained significant after adjustments for GDP per capita, total health expenditure, and dentist-to-population ratio (regression coefficient -0.36; 95% CI -0.57, -0.15). This study shows an inverse relationship between income inequality and use of dental services. Of the two indicators of disinvestment in health care assessed, only dentist-to-population ratio was associated with income inequality and use of dental services. © 2014 American Association of Public Health Dentistry.

  17. Inequalities in perceived health in the Russian Federation, 1994–2012

    Directory of Open Access Journals (Sweden)

    Pavitra Paul

    2016-02-01

    Full Text Available Abstract Background Individual characteristics and socioeconomic strata (SES are important determinants of health differences. We examine health inequalities in Russia and estimate the association of demography (gender and age and SES (working status, income, geography of residence, living standard, wealth possession, and durable asset-holding with perceived health over the period 1994–2012. Methods This study uses nationally representative datasets from the Russian Longitudinal Monitoring Survey (RLMS: 1994–2012. We apply a random effect GLS model to examine the association of individual characteristics and individual heterogeneity in explaining self-perceived health status. In addition, we estimate a regression-based concentration index, which we decompose into the determinants of health inequalities. Results The self-perceived health differences between the better-off and the worse-off is reduced over the 18 year period (1994 – 2012. The individual variances in self-perceived health status are higher compared to the variances between the individuals over the period. The measure of health inequality index (concentration index indicates a change for better health for the better-off Russians. Being employed matters in perceiving a better health status for the Russians in 2012. Conclusions Self-perceived health differences in the Russian Federation has changed over time. Such differences in changes are attributable to both changes in the distribution of the determinants of health as well as changes in the association between the determinants of health with the self-perceived health status. Though this study identifies the determinants of health inequalities for the Russians, the future research is to examine the in-country distribution of these determinants that produce health differences within the Russian Federation.

  18. Does inequality in health impede growth?

    NARCIS (Netherlands)

    M. Grimm (Michael)

    2010-01-01

    textabstractThis paper investigates the effects of inequality in health on economic growth in low and middle income countries. The empirical part of the paper uses an original cross-national panel data set covering 62 low and middle income countries over the period 1985 to 2007. I find a substantial

  19. Bridging Inequality from Both Sides Now

    Science.gov (United States)

    Fiske, Susan T.; Molm, Linda D.

    2010-01-01

    Because inequality is one of the central concerns of sociologists, it has been addressed, in various ways, by virtually all of the major traditions of sociological social psychology--social structure and personality, symbolic interactionism, and group processes. For those who work in the social structure and personality tradition, inequality…

  20. [The study of social inequalities in child and adolescent health in Spain].

    Science.gov (United States)

    Font-Ribera, Laia; García-Continente, Xavier; Davó-Blanes, M Carmen; Ariza, Carles; Díez, Elia; García Calvente, M del Mar; Maroto, Gracia; Suárez, Mónica; Rajmil, Luis

    2014-01-01

    To identify and describe studies on social inequalities in child and adolescent health conducted in Spain with special emphasis on social determinants. In July 2012, we conducted a systematic review in the PubMed, MEDES, SCOPUS and COCHRANE databases. We included studies on social inequalities in child and adolescent health in Spain published between 2000 and 2012. A total of 2147 abstracts were reviewed by two researchers and 80 manuscripts were fully reviewed by three researchers. Risk of bias was assessed. Seventy-two articles were finally included. A total of 83% of the studies were cross-sectional and the most frequently studied age group consisted of 13-15-year-olds. More than 20 individual or group determinants were identified. The most frequently analyzed determinants were the most advantaged educational level and occupation of the mother or the father. In 38% of the studies analyzing education and occupation, there was no definition of the determinant. Social inequalities were detected in dental health with all determinants and in all age groups (9% of studies with a high risk of bias). Social inequalities were also detected in obesity, physical activity and mental health with some determinants. Specific data were missing for younger children. No social inequalities were found in the use of health services, excluding dental care. Few studies analyzed immigration and 42% of them had a high risk of bias. Wide diversity was found in the measurement of social determinants, with a lack of studies in preschoolers and of studies with longitudinal designs. The results of this study confirm social inequalities in some aspects of health. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  1. Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries.

    Science.gov (United States)

    Leão, Teresa; Campos-Matos, Inês; Bambra, Clare; Russo, Giuliano; Perelman, Julian

    2018-01-01

    Although socioeconomic inequalities in health have long been observed in Europe, few studies have analysed their recent patterning. In this paper, we examined how educational inequalities in self-reported health have evolved in different European countries and welfare state regimes over the last decade, which was troubled by the Great Recession. We used cross-sectional data from the EU-SILC survey for adults from 26 European countries, from 2005 to 2014 (n = 3,030,595). We first calculated education-related absolute (SII) and relative (RII) inequalities in poor self-reported health by country-year, adjusting for age, sex, and EU-SILC survey weights. We then regressed the year- and country-specific RII and SII on a yearly time trend, globally and by welfare regime, adjusting for country fixed effects. We further adjusted the analysis for the economic cycle using GDP growth, unemployment, and income inequality. Overall, absolute inequalities persisted and relative inequalities slightly widened (betaRII = 0.0313, pAnglo-Saxon countries experienced the largest increase in absolute inequalities (betaSII = 0.0032, pAnglo-Saxon countries. Educational inequalities in health have overall persisted across European countries over the last decade. However, there is considerable variation across welfare regimes, possibly related to underpinning social safety nets and to austerity measures implemented during this 10-year period.

  2. [Inequity in health: its historical development].

    Science.gov (United States)

    Salaverry García, Oswaldo

    2013-01-01

    Health inequity, main issue of contemporary debates on public health, is based on philosophical and historical concepts that date back to the idea of justice from classic Greece. The Aristotelian approach on distributive justice and its higher form, epiekeia or equity, has been reviewed, as well as how this evolves from the Middle Ages and modernity to the heart of the debate of a variety of thinkers such as liberal Rawls and Nobel laureate Amartya Sen. On this conceptual debate lies the World Health Organization version that links equity to health determinants and intends to make it operational through the equitable provision of health services.

  3. The cost of child health inequalities in Aotearoa New Zealand: a preliminary scoping study

    Directory of Open Access Journals (Sweden)

    Mills Clair

    2012-05-01

    Full Text Available Abstract Background Health inequalities have been extensively documented, internationally and in New Zealand. The cost of reducing health inequities is often perceived as high; however, recent international studies suggest the cost of “doing nothing” is itself significant. This study aimed to develop a preliminary estimate of the economic cost of health inequities between Māori (indigenous and non-Māori children in New Zealand. Methods Standard quantitative epidemiological methods and “cost of illness” methodology were employed, within a Kaupapa Māori theoretical framework. Data were obtained from national data collections held by the New Zealand Health Information Service and other health sector agencies. Results Preliminary estimates suggest child health inequities between Māori and non-Māori in New Zealand are cost-saving to the health sector. However the societal costs are significant. A conservative “base case” scenario estimate is over $NZ62 million per year, while alternative costing methods yield larger costs of nearly $NZ200 million per annum. The total cost estimate is highly sensitive to the costing method used and Value of Statistical Life applied, as the cost of potentially avoidable deaths of Māori children is the major contributor to this estimate. Conclusions This preliminary study suggests that health sector spending is skewed towards non-Māori children despite evidence of greater Māori need. Persistent child health inequities result in significant societal economic costs. Eliminating child health inequities, particularly in primary care access, could result in significant economic benefits for New Zealand. However, there are conceptual, ethical and methodological challenges in estimating the economic cost of child health inequities. Re-thinking of traditional economic frameworks and development of more appropriate methodologies is required.

  4. [Mental income inequality: a "virus" which affects health and happiness].

    Science.gov (United States)

    Bouffard, Léandre; Dubé, Micheline

    2013-01-01

    The purpose of this paper is to demonstrate the impact of income inequality on various indexes of mental health and on happiness in wealthy nations. Initially, the unequal distribution of income is documented in wealthy nations, especially in the United States of America. After the World War II, income equality was at a level never reached before, but since the eighties, income inequality has raised dramatically in many industrialized countries. The 2008 crisis has worsened the situation in many of them, particularly in the United States. Furthermore, prejudices have increased against women, Blacks, Spanish-speakers and those who receive social welfare. A selective review of the literature is made in order to document the impact of income inequality on a few indicators of mental health (from WHO, UN, UNICEF, OCDE and World Bank) and on happiness, defined here as life satisfaction. Income inequality is positively related to the following indexes: Index of Mental Illness from the WHO (0.73), Index of the United Nations' Office on Drug Consumption (0.63) and a composite Index of ten psychosocial problems, constituted by Wilkinson and Pickett, 2013 (0.87). On the other hand, income inequality is negatively associated to the UNICEF Index of Child Well-Being (-0.71). Furthermore, the level of anxiety and of depression is higher in countries where income inequality is greater. The correlation between happiness and income inequality in the 23 wealthy nations is -0.48; this correlation becomes -0.41 after control of the effect of the GNP (Gross National Product). These results support the idea that it is relative income - not absolute income - which matters in the evaluation of our life and of our happiness. In underdeveloped nations, any increase in GNP promotes the well-being of the citizens; whereas in wealthy nations, it is the equality of the distribution that is more important. Many arguments supporting the causal relation from income inequality to psychosocial

  5. Analysis of socioeconomic health inequalities using the concentration index

    NARCIS (Netherlands)

    Konings, P.; Harper, S.; Lynch, J.; Hosseinpoor, A.R.; Berkvens, D.; Lorant, V.; Geckova, A.; Speybroeck, N.

    2010-01-01

    Although "average'' health conditions at national and global levels may have improved, inequalities in health conditions still exist among and within countries (Mackenbach et al. 2008; Smits and Monden 2009). Epidemiologists often focus on average health and try to understand its determinants. This

  6. Analyzing socioeconomic related health inequality in mothers and children using the concentration index

    Directory of Open Access Journals (Sweden)

    Hossein Amirian

    2014-01-01

    Full Text Available Background: The effect of socioeconomic inequity on major public health indices such as maternal and child mortality rates in low- and middle-income countries are less understood and needs to be evaluated through the concentration index.Method: This cross-sectional study was conducted in 2012 in Hamadan City, the west of Iran, and 1400 households were enrolled through a stratified cluster random sampling method. The effect of inequity on health outcomes was investigated via a three-stage procedure including: (a definition of health outcomes; (b measuring socioeconomic status using an asset index; and (c measuring inequality of health outcome using concentration index (CI.Results: There was inequality for all outcomes of interest. The CI was negative for low birth weight, underweight, stunting, wasting, minor injuries, moderate injuries, consanguineous marriage, child with disability, short birth spacing, and adolescent pregnancy indicating the disproportionate concentration of the health outcomes among the poor. On the other hand, CI was positive for preterm birth, Nonexclusive breastfeeding, severe injuries, incomplete health care, cesarean section, and advanced maternal age indicating opposite conclusion.Conclusion: According to our results, there is a health inequality between the poor and the rich subgroups which may increase the risk of mothers and infant mortality and morbidity rates among the poor while the majority of the conditions related to the health outcomes are preventable.

  7. Squeezing blood from a stone: how income inequality affects the health of the American workforce.

    Science.gov (United States)

    Williams, Jessica Allia R; Rosenstock, Linda

    2015-04-01

    Income inequality is very topical-in both political and economic circles-but although income and socioeconomic status are known determinants of health status, income inequality has garnered scant attention with respect to the health of US workers. By several measures, income inequality in the United States has risen since 1960. In addition to pressures from an increasingly competitive labor market, with cash wages losing out to benefits, workers face pressures from changes in work organization. We explored these factors and the mounting evidence of income inequality as a contributing factor to poorer health for the workforce. Although political differences may divide the policy approaches undertaken, addressing income inequality is likely to improve the overall social and health conditions for those affected.

  8. Using Evidence to Reduce Health Inequalities in East and Southern ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    ... and use research that will help policymakers implement stronger health systems. ... health inequities -allocating resources to ensure essential health services in ... IWRA/IDRC webinar on climate change and adaptive water management.

  9. Communication: An exact bound on the bridge function in integral equation theories.

    Science.gov (United States)

    Kast, Stefan M; Tomazic, Daniel

    2012-11-07

    We show that the formal solution of the general closure relation occurring in Ornstein-Zernike-type integral equation theories in terms of the Lambert W function leads to an exact relation between the bridge function and correlation functions, most notably to an inequality that bounds possible bridge values. The analytical results are illustrated on the example of the Lennard-Jones fluid for which the exact bridge function is known from computer simulations under various conditions. The inequality has consequences for the development of bridge function models and rationalizes numerical convergence issues.

  10. Gender equity and socioeconomic inequality: a framework for the patterning of women's health.

    Science.gov (United States)

    Moss, Nancy E

    2002-03-01

    This paper explores the interrelationship of gender equity and socioeconomic inequality and how they affect women's health at the macro- (country) and micro- (household and individual) levels. An integrated framework draws theoretical perspectives from both approaches and from public health. Determinants of women's health in the geopolitical environment include country-specific history and geography, policies and services, legal rights, organizations and institutions, and structures that shape gender and economic inequality. Culture, norms and sanctions at the country and community level, and sociodemographic characteristics at the individual level, influence women's productive and reproductive roles in the household and workplace. Social capital, roles, psychosocial stresses and resources. health services, and behaviors mediate social, economic and cultural effects on health outcomes. Inequality between and within households contributes to the patterning of women's health. Within the framework, relationships may vary depending upon women's lifestage and cohort experience. Examples of other relevant theoretical frameworks are discussed. The conclusion suggests strategies to improve data, influence policy, and extend research to better understand the effect of gender and socioeconomic inequality on women's health.

  11. Child health inequalities and its dimensions in Pakistan.

    Science.gov (United States)

    Murtaza, Fowad; Mustafa, Tajammal; Awan, Rabia

    2015-01-01

    Poverty and inequality in health is pervasive in Pakistan. The provisions and conditions of health are very dismal. A significant proportion of the population (16.34%) of Pakistan is under 5 years, but Pakistan is in the bottom 5% of countries in the world in terms of spending on health and education. It is ranked the lowest in the world with sub-Sahara Africa in terms of child health equality. The objective of this study was to examine child health inequalities in Pakistan. We analyzed data from Pakistan Integrated Household Survey/Household Integrated Economic Survey 2001-2002, collected by the Pakistan Bureau of Statistics, Government of Pakistan. Coverage of diarrhea and immunization were used as indicators of child health. Stata 11.0 was used for data analysis. Descriptive statistics including frequency distribution and proportions for categorical variables and mean for continuous variables were computed. Children under 5 years of age account for about 16.34% of the total population, 11.76% (2.5 million) of whom suffered from diarrhea in 1-month. The average duration of a diarrheal episode was 7 days. About 72% of the children who had diarrhea lived in a house without pipe-borne water supply. Around 22% children who had diarrhea had no advice or treatment. More than one-third of the households had no toilet in the house, and only 29% of the households were connected with pipe-borne drinking water. About 7.73% (1.6 million) children had never been immunized. The main reason for nonimmunization was parents' lack of knowledge and of immunization. Child health inequalities in Pakistan are linked with several factors such as severe poverty, illiteracy, lack of knowledge, and awareness of child healthcare, singularly inadequate provision of health services, and poor infrastructure.

  12. Child health inequalities and its dimensions in Pakistan

    Directory of Open Access Journals (Sweden)

    Fowad Murtaza

    2015-01-01

    Full Text Available Background and Objective: Poverty and inequality in health is pervasive in Pakistan. The provisions and conditions of health are very dismal. A significant proportion of the population (16.34% of Pakistan is under 5 years, but Pakistan is in the bottom 5% of countries in the world in terms of spending on health and education. It is ranked the lowest in the world with sub-Sahara Africa in terms of child health equality. The objective of this study was to examine child health inequalities in Pakistan. Materials and Methods: We analyzed data from Pakistan Integrated Household Survey/Household Integrated Economic Survey 2001-2002, collected by the Pakistan Bureau of Statistics, Government of Pakistan. Coverage of diarrhea and immunization were used as indicators of child health. Stata 11.0 was used for data analysis. Descriptive statistics including frequency distribution and proportions for categorical variables and mean for continuous variables were computed. Results: Children under 5 years of age account for about 16.34% of the total population, 11.76% (2.5 million of whom suffered from diarrhea in 1-month. The average duration of a diarrheal episode was 7 days. About 72% of the children who had diarrhea lived in a house without pipe-borne water supply. Around 22% children who had diarrhea had no advice or treatment. More than one-third of the households had no toilet in the house, and only 29% of the households were connected with pipe-borne drinking water. About 7.73% (1.6 million children had never been immunized. The main reason for nonimmunization was parents′ lack of knowledge and of immunization. Conclusion: Child health inequalities in Pakistan are linked with several factors such as severe poverty, illiteracy, lack of knowledge, and awareness of child healthcare, singularly inadequate provision of health services, and poor infrastructure.

  13. Disease and Health Inequalities Attributable to Air Pollutant Exposure in Detroit, Michigan

    Directory of Open Access Journals (Sweden)

    Sheena E. Martenies

    2017-10-01

    Full Text Available The environmental burden of disease is the mortality and morbidity attributable to exposures of air pollution and other stressors. The inequality metrics used in cumulative impact and environmental justice studies can be incorporated into environmental burden studies to better understand the health disparities of ambient air pollutant exposures. This study examines the diseases and health disparities attributable to air pollutants for the Detroit urban area. We apportion this burden to various groups of emission sources and pollutants, and show how the burden is distributed among demographic and socioeconomic subgroups. The analysis uses spatially-resolved estimates of exposures, baseline health rates, age-stratified populations, and demographic characteristics that serve as proxies for increased vulnerability, e.g., race/ethnicity and income. Based on current levels, exposures to fine particulate matter (PM2.5, ozone (O3, sulfur dioxide (SO2, and nitrogen dioxide (NO2 are responsible for more than 10,000 disability-adjusted life years (DALYs per year, causing an annual monetized health impact of $6.5 billion. This burden is mainly driven by PM2.5 and O3 exposures, which cause 660 premature deaths each year among the 945,000 individuals in the study area. NO2 exposures, largely from traffic, are important for respiratory outcomes among older adults and children with asthma, e.g., 46% of air-pollution related asthma hospitalizations are due to NO2 exposures. Based on quantitative inequality metrics, the greatest inequality of health burdens results from industrial and traffic emissions. These metrics also show disproportionate burdens among Hispanic/Latino populations due to industrial emissions, and among low income populations due to traffic emissions. Attributable health burdens are a function of exposures, susceptibility and vulnerability (e.g., baseline incidence rates, and population density. Because of these dependencies, inequality

  14. Gender inequality, health expenditure and maternal mortality in sub-Saharan Africa: A secondary data analysis

    Directory of Open Access Journals (Sweden)

    Frank Chirowa

    2013-08-01

    Full Text Available Background: This article provided an analysis of gender inequality, health expenditure and its relationship to maternal mortality. Objective: The objective of this article was to explore gender inequality and its relationship with health expenditure and maternal mortality in sub-Saharan Africa (SSA. A unique analysis was used to correlate the Gender Inequality Index (GII, Health Expenditure and Maternal Mortality Ratio (MMR. The GII captured inequalities across three dimensions – Reproductive health, Women empowerment and Labour force participation between men and women. The GII is a composite index introduced by the UNDP in 2010 and corrects for the disadavanatges of the other gender indices. Although the GII incorporates MMR in its calculation, it should not be taken as a substitute for, but rather as complementary to, the MMR. Method: An exploratory and descriptive design to a secondary documentary review using quantitative data and qualitative information was used. The article referred to sub-Saharan Africa, but seven countries were purposively selected for an in-depth analysis based on the availability of data. The countries selected were Angola, Botswana, Malawi, Mozambique,South Africa, Zambia and Zimbabwe. Results: Countries with high gender inequality captured by the gender inequality index were associated with high maternal mortality ratios as compared with countries with lower gender inequality, whilst countries that spend less on health were associated with higher maternal deaths than countries that spend more. Conclusion: A potential relationship exists between gender inequality, health expenditure, and maternal mortality. Gender inequalities are systematic and occur at the macro, societal and household levels.

  15. Carbon pollution increases health inequities: lessons in resilience from the most vulnerable

    Directory of Open Access Journals (Sweden)

    Kristie L. Ebi

    Full Text Available ABSTRACT Climate change is a social justice as well as an environmental issue. The magnitude and pattern of changes in weather and climate variables are creating differential exposures, vulnerabilities, and health risks that increase stress on health systems while exacerbating existing and creating new health inequities. Examples from national and local health adaptation projects highlight that developing partnerships across sectors and levels are critical for building climate-resilient health systems and communities. Strengthening current and implementing new health interventions, such as using environmental information to develop early warning systems, can be effective in protecting the most vulnerable. However, not all projected risks of climate change can be avoided by climate policies and programs, so health system strengthening is also critical. Applying a health inequity lens can reduce current vulnerabilities while building resilience to longer-term climate change. Taking inequities into account is critical if societies are to effectively prepare for and manage the challenges ahead.

  16. Gender Policies and Gender Inequalities in Health in Europe: Results of the SOPHIE Project.

    Science.gov (United States)

    Palència, Laia; De Moortel, Deborah; Artazcoz, Lucía; Salvador-Piedrafita, María; Puig-Barrachina, Vanessa; Hagqvist, Emma; Pérez, Glòria; Ruiz, Marisol E; Trujillo-Alemán, Sara; Vanroelen, Christophe; Malmusi, Davide; Borrell, Carme

    2017-01-01

    The aim of this article is to explain the results of the SOPHIE project regarding the effect of gender policies on gender inequalities in health in Europe. We start with the results of a systematic review on how gender regimes and gender equality policies at the country level impact women's health and gender inequalities in health. Then, we report on three empirical analyses on the relationship between different family policy models existing in Europe and gender inequalities in health. Finally we present four case studies on specific examples of gender policies or determinants of gender inequalities in health. The results show that policies that support women's participation in the labor force and decrease their burden of care, such as public services and support for families and entitlements for fathers, are related to lower levels of gender inequality in terms of health. In addition, public services and benefits for disabled and dependent people can reduce the burden placed on family caregivers and hence improve their health. In the context of the current economic crisis, gender equality policies should be maintained or improved. © The Author(s) 2016.

  17. Fighting status inequalities

    DEFF Research Database (Denmark)

    Nielsen, Morten Ebbe Juul; Landes, Xavier

    2016-01-01

    Status inequalities seem to play a fairly big role in creating inequalities in health. This article assumes that there can be good reasons to fight status inequalities in order to reduce inequalities in health. It examines whether the neorepublican ideal of non-dominance does a better job as a th...

  18. Discrimination, perceived social inequity, and mental health among rural-to-urban migrants in China.

    Science.gov (United States)

    Lin, Danhua; Li, Xiaoming; Wang, Bo; Hong, Yan; Fang, Xiaoyi; Qin, Xiong; Stanton, Bonita

    2011-04-01

    Status-based discrimination and inequity have been associated with the process of migration, especially with economics-driven internal migration. However, their association with mental health among economy-driven internal migrants in developing countries is rarely assessed. This study examines discriminatory experiences and perceived social inequity in relation to mental health status among rural-to-urban migrants in China. Cross-sectional data were collected from 1,006 rural-to-urban migrants in 2004-2005 in Beijing, China. Participants reported their perceptions and experiences of being discriminated in daily life in urban destination and perceived social inequity. Mental health was measured using the symptom checklist-90 (SCL-90). Multivariate analyses using general linear model were performed to test the effect of discriminatory experience and perceived social inequity on mental health. Experience of discrimination was positively associated with male gender, being married at least once, poorer health status, shorter duration of migration, and middle range of personal income. Likewise, perceived social inequity was associated with poorer health status, higher education attainment, and lower personal income. Multivariate analyses indicate that both experience of discrimination and perceived social inequity were strongly associated with mental health problems of rural-to-urban migrants. Experience of discrimination in daily life and perceived social inequity have a significant influence on mental health among rural-to-urban migrants. The findings underscore the needs to reduce public or societal discrimination against rural-to-urban migrants, to eliminate structural barriers (i.e., dual household registrations) for migrants to fully benefit from the urban economic development, and to create a positive atmosphere to improve migrant's psychological well-being.

  19. Health inequities in Canada: intersectional frameworks and practices

    National Research Council Canada - National Science Library

    Hankivsky, Olena; de Leeuw, Sarah; Lee, Jo-Anne; Vissandjée, Bilkis; Khanlou, Nazilla

    2011-01-01

    ... recycled) that is processed chlorineand acid-free. Library and Archives Canada Cataloguing in Publication Health inequities in Canada : intersectional frameworks and practices / edited by Olena Hankivsky. Includes bibliographical references and index. ISBN 978-0-7748-1975-6 (bound); ISBN 978-0-7748-1972-5 (pbk) 1. Health services accessibi...

  20. Leveraging technology to reduce health inequities in Kenya | IDRC ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2016-11-22

    Nov 22, 2016 ... The three-year study, titled Addressing health inequities in Kenya: Potential and ... through applied research capacity building in e-health (SEARCH) program. ... For example, MoH was involved from project formulation and ...

  1. The impact of public employment on health and health inequalities: evidence from China.

    Science.gov (United States)

    Zhang, Wei

    2011-01-01

    Because the public and private sectors often operate with different goals, individuals employed by the two sectors may receive different levels of welfare. This can potentially lead to different health status. As such, employment sector offers an important perspective for understanding labor market outcomes. Using micro-level data from a recent Chinese household survey, this study empirically evaluated the impact of employment sector on health and within-sector health inequalities. It found that public sector employment generated better health outcomes than private sector employment, controlling for individual characteristics. The provision of more job security explained an important part of the association between public sector employment and better health. The study also found less health inequality by social class within the public sector. These findings suggest that policymakers should think critically about the "conventional wisdom" that private ownership is almost always superior, and should adjust their labor market policies accordingly.

  2. Inequalities in Health Services Usage in a National Health System Scheme: The Case of a Southern Social European Region.

    Science.gov (United States)

    Morteruel, Maite; Rodriguez-Alvarez, Elena; Martin, Unai; Bacigalupe, Amaia

    Health services can reduce inequalities caused by other determinants of health or increase them due to the effect of the inverse care law-the principle that the availability of good quality care tends to vary inversely with the need for it in the population served. The purpose of the research was to describe inequalities in the use of nursing services, medical services in primary care, specialist care, and services not fully covered by the Basque public health system in Spain. A cross-sectional study of adults aged at least 25 years who completed the 2013 Basque Health Survey (N = 10,454) was conducted. Age-standardized prevalence and prevalence ratios for use of services that are covered and noncovered in the health system were computed. The association of health services usage with socioeconomic variables was estimated using a Poisson regression model with robust variance. The relative index of inequality (RII) was used to measure the magnitude of socioeconomic status inequalities in health service use. All analyses were carried out separately for men and women. Individuals with lower socioeconomic status were more likely to use primary care (RII = 0.87, 95% CI [0.79, 0.97]) and less likely to use specialist services (RII = 0.82, 95% CI [0.75, 0.89]). Across noncovered health services, inequalities between the highest and lowest social groups were significant in all cases and especially marked in men's use of physiotherapists (RII = 0.46, 95% CI [0.35, 0.61]) and podiatrists (RII = 0.24, 95%CI [0.15, 0.38]). There are significant inequalities in primary and specialist health service use based on individual socioeconomic status, particularly for services that are not provided free of charge within the existing health system. This suggests that health service systems that are not explicitly designed to provide universal access may actually amplify preexisting social and health inequalities within their target populations.

  3. Bonding, Bridging, and Linking Social Capital and Self-Rated Health among Chinese Adults: Use of the Anchoring Vignettes Technique.

    Directory of Open Access Journals (Sweden)

    He Chen

    Full Text Available Three main opposing camps exist over how social capital relates to population health, namely the social support perspective, the inequality thesis, and the political economy approach. The distinction among bonding, bridging, and linking social capital probably helps close the debates between these three camps, which is rarely investigated in existing literatures. Moreover, although self-rated health is a frequently used health indicator in studies on the relationship between social capital and health, the interpersonal incomparability of this measure has been largely neglected. This study has two main objectives. Firstly, we aim to investigate the relationship between bonding, bridging, and linking social capital and self-rated health among Chinese adults. Secondly, we aim to improve the interpersonal comparability in self-rated health measurement. We use data from a nationally representative survey in China. Self-rated health was adjusted using the anchoring vignettes technique to improve comparability. Two-level ordinal logistic regression was performed to model the association between social capital and self-rated health at both individual and community levels. The interaction between residence and social capital was included to examine urban/rural disparities in the relationship. We found that most social capital indicators had a significant relationship with adjusted self-rated health of Chinese adults, but the relationships were mixed. Individual-level bonding, linking social capital, and community-level bridging social capital were positively related with health. Significant urban/rural disparities appeared in the association between community-level bonding, linking social capital, and adjusted self-rated health. For example, people living in communities with higher bonding social capital tended to report poorer adjusted self-rated health in urban areas, but the opposite tendency held for rural areas. Furthermore, the comparison between

  4. Bonding, Bridging, and Linking Social Capital and Self-Rated Health among Chinese Adults: Use of the Anchoring Vignettes Technique.

    Science.gov (United States)

    Chen, He; Meng, Tianguang

    2015-01-01

    Three main opposing camps exist over how social capital relates to population health, namely the social support perspective, the inequality thesis, and the political economy approach. The distinction among bonding, bridging, and linking social capital probably helps close the debates between these three camps, which is rarely investigated in existing literatures. Moreover, although self-rated health is a frequently used health indicator in studies on the relationship between social capital and health, the interpersonal incomparability of this measure has been largely neglected. This study has two main objectives. Firstly, we aim to investigate the relationship between bonding, bridging, and linking social capital and self-rated health among Chinese adults. Secondly, we aim to improve the interpersonal comparability in self-rated health measurement. We use data from a nationally representative survey in China. Self-rated health was adjusted using the anchoring vignettes technique to improve comparability. Two-level ordinal logistic regression was performed to model the association between social capital and self-rated health at both individual and community levels. The interaction between residence and social capital was included to examine urban/rural disparities in the relationship. We found that most social capital indicators had a significant relationship with adjusted self-rated health of Chinese adults, but the relationships were mixed. Individual-level bonding, linking social capital, and community-level bridging social capital were positively related with health. Significant urban/rural disparities appeared in the association between community-level bonding, linking social capital, and adjusted self-rated health. For example, people living in communities with higher bonding social capital tended to report poorer adjusted self-rated health in urban areas, but the opposite tendency held for rural areas. Furthermore, the comparison between multivariate analyses

  5. Patterns of Socioeconomic Inequality in Adolescent Health Differ According to the Measure of Socioeconomic Position

    DEFF Research Database (Denmark)

    Elgar, Frank J.; McKinnon, Britt; Torsheim, Torbjorn

    2016-01-01

    Socioeconomic differences in health are ubiquitous across age groups, cultures, and health domains. However, variation in the size and pattern of health inequalities appears to relate to the measure of socioeconomic position (SEP) applied. Little attention has been paid to these differences...... in adolescents and their implications for health surveillance and policy. We examined health inequalities in 1371 adolescents in seven European countries using four measures of SEP: youth-reported material assets and subjective social status and parent-reported material assets and household income. For each SEP...... variable, we estimated risk ratios, risk differences, concentration curves, and concentration indices of inequality for fair/poor self-rated health and low life satisfaction. Results showed that inequalities in health and life satisfaction were largest when subjective social status was used as the SEP...

  6. Uncovering the hidden impacts of inequality on mental health: a global study.

    Science.gov (United States)

    Yu, Shoukai

    2018-05-18

    Women are nearly twice as likely as men to suffer from mental illness. This gender disparity in depressive disorders may relate to social inequalities and living standards across nations. Currently, these disparities were not reflected at the level of health policies. This study utilized global data for depressive disorders and socioeconomic data from the United Nations' World Bank databases and Global Burden of Disease database to demonstrate the correlation between social inequality and gender disparities in mental health. This study investigated the association among the ratio of female to male depressive disorder rates, gross domestic product, the GINI Index, and the gender inequality index for 122 countries. The research yielded some major findings. First, there exists a significant correlation between gender inequality and gender disparities in mental health. Second, the GINI index is significantly associated with male-but not female-depressive disorder rates. Third, gender disparities in depressive disorders are associated with a country's wealth. These findings can help to inform society, policy-makers, and clinicians to improve the overall health level globally.

  7. Evaluating health inequity interventions: applying a contextual (external) validity framework to programs funded by the Canadian Health Services Research Foundation.

    Science.gov (United States)

    Phillips, Kaye; Müller-Clemm, Werner; Ysselstein, Margaretha; Sachs, Jonathan

    2013-02-01

    Including context in the measurement and evaluation of health in equity interventions is critical to understanding how events that occur in an intervention's environment might contribute to or impede its success. This study adapted and piloted a contextual validity assessment framework on a selection of health inequity-related programs funded by the Canadian Health Services Research Foundation (CHSRF) between 1998 and 2006. The two overarching objectives of this study were (1) to determine the relative amount and quality of attention given to conceptualizing, measuring and validating context within CHSRF funded research final reports related to health-inequity; and (2) to contribute evaluative evidence towards the incorporation of context into the assessment and measurement of health inequity interventions. The study found that of the 42/146 CHSRF programs and projects, judged to be related to health inequity 20 adequately reported on the conceptualization, measurement and validation of context. Amongst these health-inequity related project reports, greatest emphasis was placed on describing the socio-political and economical context over actually measuring and validating contextual evidence. Applying a contextual validity assessment framework was useful for distinguishing between the descriptive (conceptual) versus empirical (measurement and validation) inclusion of documented contextual evidence. Although contextual validity measurement frameworks needs further development, this study contributes insight into identifying funded research related to health inequities and preliminary criteria for assessing interventions targeted at specific populations and jurisdictions. This study also feeds a larger critical dialogue (albeit beyond the scope of this study) regarding the relevance and utility of using evaluative techniques for understanding how specific external conditions support or impede the successful implementation of health inequity interventions. Copyright

  8. Coverage and inequalities in maternal and child health interventions in Afghanistan

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    Nadia Akseer

    2016-09-01

    Full Text Available Abstract Background Afghanistan has made considerable gains in improving maternal and child health and survival since 2001. However, socioeconomic and regional inequities may pose a threat to reaching universal coverage of health interventions and further health progress. We explored coverage and socioeconomic inequalities in key life-saving reproductive, maternal, newborn and child health (RMNCH interventions at the national level and by region in Afghanistan. We also assessed gains in child survival through scaling up effective community-based interventions across wealth groups. Methods Using data from the Afghanistan Multiple Indicator Cluster Survey (MICS 2010/11, we explored 11 interventions that spanned all stages of the continuum of care, including indicators of composite coverage. Asset-based wealth quintiles were constructed using standardised methods, and absolute inequalities were explored using wealth quintile (Q gaps (Q5-Q1 and the slope index of inequality (SII, while relative inequalities were assessed with ratios (Q5/Q1 and the concentration index (CIX. The lives saved tool (LiST modeling used to estimate neonatal and post-neonatal deaths averted from scaling up essential community-based interventions by 90 % coverage by 2025. Analyses considered the survey design characteristics and were conducted via STATA version 12.0 and SAS version 9.4. Results Our results underscore significant pro-rich socioeconomic absolute and relative inequalities, and mass population deprivation across most all RMNCH interventions studied. The most inequitable are antenatal care with a skilled attendant (ANCS, skilled birth attendance (SBA, and 4 or more antenatal care visits (ANC4 where the richest have between 3.0 and 5.6 times higher coverage relative to the poor, and Q5-Q1 gaps range from 32 % - 65 %. Treatment of sick children and breastfeeding interventions are the most equitably distributed. Across regions, inequalities were highest in the

  9. Socioeconomic inequalities in oral health among adults in Tehran, Iran.

    Science.gov (United States)

    Ghorbani, Z; Ahmady, A Ebn; Ghasemi, E; Zwi, A B

    2015-03-01

    To identify the socioeconomic distribution of perceived oral health among adults in Tehran, Iran. A cross-sectional population study. A stratified random sample of 1,100 adults aged 18-84 years living in Tehran. Self-report data were obtained from the 2010 dental telephone interview survey. Oral health was evaluated using self-assessed non-replaced extracted teeth (NRET), and a three-item perceived dental health instrument. Socioeconomic status was measured by combining the variables of education and assets using principal component analysis. Inequalities in oral health were examined using prevalence ratios and concentration index. The poorest quintile was 1.60 (95% confidence interval, CI, 1.30; 1.98) times as likely to have any NRET compared with the richest quintile, indicating a disparity. Inequality was most pronounced in the 35-59 age group with prevalence ratio 2.01 (95% CI 1.26; 3.05). The concentration index of NRET in adults in Tehran was -0.22 (95% CI -0.28; -0.16). No significant differences were found in perceived dental health between socioeconomic classes. Adults from lower socioeconomic classes experienced more disabilities due to missing their teeth, specifically in the middle-age group. Inequalities in perceived dental health were not apparent in the studied population.

  10. Wage inequality, the health system, and infant mortality in wealthy industrialized countries, 1970-1996.

    Science.gov (United States)

    Macinko, James A; Shi, Leiyu; Starfield, Barbara

    2004-01-01

    This pooled, cross-sectional, time-series study assesses the impact of health system variables on the relationship between wage inequality and infant mortality in 19 OECD countries over the period 1970-1996. Data are derived from the OECD, World Value Surveys, Luxembourg Income Study, and political economy databases. Analyses include Pearson correlation and fixed-effects multivariate regression. In year-specific and time-series analyses, the Theil measure of wage inequality (based on industrial sector wages) is positively and statistically significantly associated with infant mortality rates--even while controlling for GDP per capita. Health system variables--in particular the method of healthcare financing and the supply of physicians--significantly attenuated the effect of wage inequality on infant mortality. In fixed effects multivariate regression models controlling for GDP per capita and wage inequality, variables generally associated with better health include income per capita, the method of healthcare financing, and physicians per 1000 population. Alcohol consumption, the proportion of the population in unions, and government expenditures on health were associated with poorer health outcomes. Ambiguous effects were seen for the consumer price index, unemployment rates, the openness of the economy, and voting rates. This study provides international evidence for the impact of wage inequalities on infant mortality. Results suggest that improving aspects of the healthcare system may be one way to partially compensate for the negative effects of social inequalities on population health.

  11. Educational inequalities in general and mental health: differential contribution of physical activity, smoking, alcohol consumption and diet.

    Science.gov (United States)

    Kurtze, Nanna; Eikemo, Terje A; Kamphuis, Carlijn B M

    2013-04-01

    Behavioural, material and psychosocial risk factors may explain educational inequalities in general health. To what extent these risk factors have similar or different contributions to educational inequalities in mental health is unknown. Data were derived from the Norwegian Survey of Level of Living from 2005, comprising 5791 respondents aged ≥ 25 years. The study objectives were addressed by means of a series of logistic regression analyses in which we examined: (i) educational inequalities in self-reported general and mental health; (ii) the associations between behavioural, material and psychosocial risk factors and general and mental health, controlled for sex, age and education; and (iii) the contribution of risk factors to the observed health gradients. The lower educated were more likely to be in poor health [odds ratio (OR): 3.46 (95% confidence interval, CI: 2.84-4.21)] and to be in poor mental health [OR: 1.41 (95% CI: 1.12-1.78)] than the highest educated. The joint contribution of behavioural, material and psychosocial risk factors explained all the variations of mental health inequalities, whereas these were able to explain ~40% of the inequalities in general health. Both behavioural and material risk factors contributed substantially to the explanation of general and mental health inequalities, whereas the psychosocial risk factor (i.e. having close persons to communicate with) only seemed to make a larger difference for the explanation of mental health inequalities. Policies and interventions to reduce health inequalities should have a broad focus. Combined strategies should be applied to improve physical activity, decrease smoking and improve material and psychosocial conditions among lower educated groups, to achieve the true potential of reducing inequalities in both general and mental health.

  12. Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries.

    Directory of Open Access Journals (Sweden)

    Teresa Leão

    Full Text Available Although socioeconomic inequalities in health have long been observed in Europe, few studies have analysed their recent patterning. In this paper, we examined how educational inequalities in self-reported health have evolved in different European countries and welfare state regimes over the last decade, which was troubled by the Great Recession.We used cross-sectional data from the EU-SILC survey for adults from 26 European countries, from 2005 to 2014 (n = 3,030,595. We first calculated education-related absolute (SII and relative (RII inequalities in poor self-reported health by country-year, adjusting for age, sex, and EU-SILC survey weights. We then regressed the year- and country-specific RII and SII on a yearly time trend, globally and by welfare regime, adjusting for country fixed effects. We further adjusted the analysis for the economic cycle using GDP growth, unemployment, and income inequality.Overall, absolute inequalities persisted and relative inequalities slightly widened (betaRII = 0.0313, p<0.05. There were substantial differences by welfare regime: Anglo-Saxon countries experienced the largest increase in absolute inequalities (betaSII = 0.0032, p<0.05, followed by Bismarkian countries (betaSII = 0.0024, p<0.001, while they reduced in Post-Communist countries (betaSII = -0.0022, p<0.001. Post-Communist countries also experienced a widening in relative inequalities (betaRII = 0.1112, p<0.001, which were found to be stable elsewhere. Adjustment for income inequality only explained such trend in Anglo-Saxon countries.Educational inequalities in health have overall persisted across European countries over the last decade. However, there is considerable variation across welfare regimes, possibly related to underpinning social safety nets and to austerity measures implemented during this 10-year period.

  13. Inequality trends of health workforce in different stages of medical system reform (1985-2011) in China.

    Science.gov (United States)

    Zhou, Kaiyuan; Zhang, Xinyi; Ding, Yi; Wang, Duolao; Lu, Zhou; Yu, Min

    2015-12-08

    The aim of this study was to identify whether policies in different stages of medical system reform had been effective in decreasing inequalities and increasing the density of health workers in rural areas in China between 1985 and 2011. With data from China Health Statistics Yearbooks from 2004 to 2012, we measured the Gini coefficient and the Theil L index across the urban and rural areas from 1985 to 2011 to investigate changes in inequalities in the distributions of health workers, doctors, and nurses by states, regions, and urban-rural stratum and account for the sources of inequalities. We found that the overall inequalities in the distribution of health workers decreased to the lowest in 2000, then increased gently until 2011. Nurses were the most unequally distributed between urban-rural districts among health workers. Most of the overall inequalities in the distribution of health workers across regions were due to inequalities within the rural-urban stratum. Different policies and interventions in different stages would result in important changes in inequality in the distribution of the health workforce. It was also influenced by other system reforms, like the urbanization, education, and employment reforms in China. The results are useful for the Chinese government to decide how to narrow the gap of the health workforce and meet its citizens' health needs to the maximum extent.

  14. Global variations in health: evaluating Wilkinson's income inequality hypothesis using the World Values Survey.

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    Jen, Min Hua; Jones, Kelvyn; Johnston, Ron

    2009-02-01

    This international comparative study analyses individual-level data derived from the World Values Survey to evaluate Wilkinson's [(1996). Unhealthy societies: The afflictions of inequality. London: Routledge; (1998). Mortality and distribution of income. Low relative income affects mortality [letter; comment]. British Medical Journal, 316, 1611-1612] income inequality hypothesis regarding variations in health status. Random-coefficient, multilevel modelling provides a direct test of Wilkinson's hypothesis using micro-data on individuals and macro-data on income inequalities analysed simultaneously. This overcomes the ecological fallacy that has troubled previous research into links between individual self-rated health, individual income, country income and income inequality data. Logic regression analysis reveals that there are substantial differences between countries in self-rated health after taking account of age and gender, and individual income has a clear effect in that poorer people report experiencing worse health. The Wilkinson hypothesis is not supported, however, since there is no significant relationship between health and income inequality when individual factors are taken into account. Substantial differences between countries remain even after taking account of micro- and macro-variables; in particular the former communist countries report high levels of poor health.

  15. National income inequality and ineffective health insurance in 35 low- and middle-income countries.

    Science.gov (United States)

    Alvarez, Francisco N; El-Sayed, Abdulrahman M

    2017-05-01

    Global health policy efforts to improve health and reduce financial burden of disease in low- and middle-income countries (LMIC) has fuelled interest in expanding access to health insurance coverage to all, a movement known as Universal Health Coverage (UHC). Ineffective insurance is a measure of failure to achieve the intended outcomes of health insurance among those who nominally have insurance. This study aimed to evaluate the relation between national-level income inequality and the prevalence of ineffective insurance. We used Standardized World Income Inequality Database (SWIID) Gini coefficients for 35 LMICs and World Health Survey (WHS) data about insurance from 2002 to 2004 to fit multivariable regression models of the prevalence of ineffective insurance on national Gini coefficients, adjusting for GDP per capita. Greater inequality predicted higher prevalence of ineffective insurance. When stratifying by individual-level covariates, higher inequality was associated with greater ineffective insurance among sub-groups traditionally considered more privileged: youth, men, higher education, urban residence and the wealthiest quintile. Stratifying by World Bank country income classification, higher inequality was associated with ineffective insurance among upper-middle income countries but not low- or lower-middle income countries. We hypothesize that these associations may be due to the imprint of underlying social inequalities as countries approach decreasing marginal returns on improved health insurance by income. Our findings suggest that beyond national income, income inequality may predict differences in the quality of insurance, with implications for efforts to achieve UHC. © The Author 2016. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  16. Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring

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    Guang-Dong Zhou

    2013-01-01

    Full Text Available Structural health monitoring (SHM systems have shown great potential to sense the responses of a bridge system, diagnose the current structural conditions, predict the expected future performance, provide information for maintenance, and validate design hypotheses. Wireless sensor networks (WSNs that have the benefits of reducing implementation costs of SHM systems as well as improving data processing efficiency become an attractive alternative to traditional tethered sensor systems. This paper introduces recent technology developments in the field of bridge health monitoring using WSNs. As a special application of WSNs, the requirements and characteristics of WSNs when used for bridge health monitoring are firstly briefly discussed. Then, the state of the art in WSNs-based bridge health monitoring systems is reviewed including wireless sensor, network topology, data processing technology, power management, and time synchronization. Following that, the performance validations and applications of WSNs in bridge health monitoring through scale models and field deployment are presented. Finally, some existing problems and promising research efforts for promoting applications of WSNs technology in bridge health monitoring throughout the world are explored.

  17. Health-related quality of life inequalities by sexual orientation: Results from the Barcelona Health Interview Survey.

    Science.gov (United States)

    Marti-Pastor, Marc; Perez, Gloria; German, Danielle; Pont, Angels; Garin, Olatz; Alonso, Jordi; Gotsens, Mercè; Ferrer, Montse

    2018-01-01

    Studies on health-related quality of life (HRQoL) inequalities according to sexual orientation are scarce. The aim of this study was to assess HRQoL inequalities between lesbian, gay, and bisexual (LGB) people and heterosexuals in the 2011 Barcelona population, to describe the extent to which sociodemographic characteristics, health-related behaviors, and chronic conditions could explain such inequalities, and to understand if they are sexual orientation inequities. In the 2011 Barcelona Health Interview Survey 3277 adults answered the EQ-5D, which measures five dimensions of HRQoL summarized into a single utility index (1 = perfect health, 0 = death). To assess HRQoL differences by sexual orientation we constructed Tobit models for the EQ-5D index, and Poisson regression models for the EQ-5D dimensions. In both cases, nested models were constructed to assess the mediator role of selected variables. After adjusting by socio-demographic variables, the LGB group presented a significantly lower EQ-5D index than heterosexuals, and higher prevalence ratios of problems in physical EQ-5D dimensions among both genders: adjusted prevalence ratio (aPR) = 1.70 for mobility (p = 0.046) and 2.11 for usual activities (p = 0.019). Differences in mental dimensions were only observed among men: aPR = 3.15 for pain/discomfort (p = 0.003) and 2.49 for anxiety/depression (p = 0.030). All these differences by sexual orientation disappeared after adding chronic conditions and health-related behaviors in the models. The LGB population presented worse HRQoL than heterosexuals in the EQ-5D index and most dimensions. Chronic conditions, health-related behaviors and gender play a major role in explaining HRQoL differences by sexual orientation. These findings support the need of including sexual orientation into the global agenda of health inequities.

  18. Health-related quality of life inequalities by sexual orientation: Results from the Barcelona Health Interview Survey.

    Directory of Open Access Journals (Sweden)

    Marc Marti-Pastor

    Full Text Available Studies on health-related quality of life (HRQoL inequalities according to sexual orientation are scarce. The aim of this study was to assess HRQoL inequalities between lesbian, gay, and bisexual (LGB people and heterosexuals in the 2011 Barcelona population, to describe the extent to which sociodemographic characteristics, health-related behaviors, and chronic conditions could explain such inequalities, and to understand if they are sexual orientation inequities.In the 2011 Barcelona Health Interview Survey 3277 adults answered the EQ-5D, which measures five dimensions of HRQoL summarized into a single utility index (1 = perfect health, 0 = death. To assess HRQoL differences by sexual orientation we constructed Tobit models for the EQ-5D index, and Poisson regression models for the EQ-5D dimensions. In both cases, nested models were constructed to assess the mediator role of selected variables.After adjusting by socio-demographic variables, the LGB group presented a significantly lower EQ-5D index than heterosexuals, and higher prevalence ratios of problems in physical EQ-5D dimensions among both genders: adjusted prevalence ratio (aPR = 1.70 for mobility (p = 0.046 and 2.11 for usual activities (p = 0.019. Differences in mental dimensions were only observed among men: aPR = 3.15 for pain/discomfort (p = 0.003 and 2.49 for anxiety/depression (p = 0.030. All these differences by sexual orientation disappeared after adding chronic conditions and health-related behaviors in the models.The LGB population presented worse HRQoL than heterosexuals in the EQ-5D index and most dimensions. Chronic conditions, health-related behaviors and gender play a major role in explaining HRQoL differences by sexual orientation. These findings support the need of including sexual orientation into the global agenda of health inequities.

  19. Decomposing of Socioeconomic Inequality in Mental Health: A Cross-Sectional Study into Female-Headed Households.

    Science.gov (United States)

    Veisani, Yousef; Delpisheh, Ali

    2015-01-01

    Connection between socioeconomic statuses and mental health has been reported already. Accordingly, mental health asymmetrically is distributed in society; therefore, people with disadvantaged condition suffer from inconsistent burden of mental disorders. In this study, we aimed to understand the determinants of socioeconomic inequality of mental health in the female-headed households and decomposed contributions of socioeconomic determinants in mental health. In this cross-sectional study, 787 female-headed households were enrolled using systematic random sampling in 2014. Data were taken from the household assets survey and a self-administered 28 item General Health Questionnaire (GHQ-28) as a screening tool for detection of possible cases of mental disorders. Inequality was measured by concentration index (CI) and as decomposing contribution in inequality. All analyses were performed by standard statistical software Stata 11.2. The overall CI for mental health in the female-headed households was -0.049 (95% CI: -0.072, 0.025). The highly positive contributors for inequality in mental health in the female-headed households were age (34%) and poor household economic status (22%). Socioeconomic inequalities exist in mental health into female-headed households and mental health problems more prevalent in women with lower socioeconomic status.

  20. Resistance in Unjust Times: Archer, Structured Agency and the Sociology of Health Inequalities.

    Science.gov (United States)

    Scambler, Graham

    2013-02-01

    Few sociologists dissent from the notion that the mid- to late 1970s witnessed a shift in capitalism's modus operandi . Its association with a rapid increase of social and material inequality is beyond dispute. This article opens with a brief summation of contemporary British trends in economic inequalities, and finds an echo of these trends in health inequalities. It is suggested that the sociology of health inequalities in Britain lacks an analysis of agency, and that such an analysis is crucial. A case is made that the recent critical realist contribution of Margaret Archer on 'internal conversations' lends itself to an understanding of agency that is salient here. The article develops her typology of internal conversations to present characterizations of the 'focused autonomous reflexives' whose mind-sets are causally efficacious for producing and reproducing inequalities, and the 'dedicated meta-reflexives' whose casts of mind might yet predispose them to mobilize resistance to inequalities.

  1. Reduction of inequalities in health: assessing evidence-based tools

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    Shea Beverley

    2006-09-01

    Full Text Available Abstract Background The reduction of health inequalities is a focus of many national and international health organisations. The need for pragmatic evidence-based approaches has led to the development of a number of evidence-based equity initiatives. This paper describes a new program that focuses upon evidence- based tools, which are useful for policy initiatives that reduce inequities. Methods This paper is based on a presentation that was given at the "Regional Consultation on Policy Tools: Equity in Population Health Reports," held in Toronto, Canada in June 2002. Results Five assessment tools were presented. 1. A database of systematic reviews on the effects of educational, legal, social, and health interventions to reduce unfair inequalities is being established through the Cochrane and Campbell Collaborations. 2 Decision aids and shared decision making can be facilitated in disadvantaged groups by 'health coaches' to help people become better decision makers, negotiators, and navigators of the health system; a pilot study in Chile has provided proof of this concept. 3. The CIET Cycle: Combining adapted cluster survey techniques with qualitative methods, CIET's population based applications support evidence-based decision making at local and national levels. The CIET map generates maps directly from survey or routine institutional data, to be used as evidence-based decisions aids. Complex data can be displayed attractively, providing an important tool for studying and comparing health indicators among and between different populations. 4. The Ottawa Equity Gauge is applying the Global Equity Gauge Alliance framework to an industrialised country setting. 5 The Needs-Based Health Assessment Toolkit, established to assemble information on which clinical and health policy decisions can be based, is being expanded to ensure a focus on distribution and average health indicators. Conclusion Evidence-based planning tools have much to offer the

  2. Transport policy and health inequalities: a health impact assessment of Edinburgh's transport policy.

    Science.gov (United States)

    Gorman, D; Douglas, M J; Conway, L; Noble, P; Hanlon, P

    2003-01-01

    Health impact assessment (HIA) can be used to examine the relationships between inequalities and health. This HIA of Edinburgh's transport policy demonstrates how HIA can examine how different transport policies can affect different population groupings to varying degrees. In this case, Edinburgh's economy is based on tourism, financial services and Government bodies. These need a good transport infrastructure, which maintains a vibrant city centre. A transport policy that promotes walking, cycling and public transport supports this and is also good for health. The HIA suggested that greater spend on public transport and supporting sustainable modes of transport was beneficial to health, and offered scope to reduce inequalities. This message was understood by the City Council and influenced the development of the city's transport and land-use strategies. The paper discusses how HIA can influence public policy.

  3. Class and Health Inequality in Later Life: Patterns, Mechanisms and Implications for Policy

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    James Nazroo

    2017-12-01

    Full Text Available The growth of the post-retirement population, which has occurred as a result of rapid growth in life expectancy coupled with the ageing of the baby boomer cohort, has led to significant concern. This concern, however, typically neglects the heterogeneity of later life experiences and how these are patterned by inequalities that reflect how process of social stratification continue to operate into later life. This paper draws on a programme of work, based on analysis of the English Longitudinal Study of Ageing, to empirically examine questions of inequality in later life. It begins by illustrating the patterning of health inequality. It then investigates the importance of later life contexts and events in shaping inequality through and after the retirement process. In doing so it examines the extent to which later life continues to reflect stable social structures that shape inequalities and, consequently, health and wellbeing in later life. The paper then illustrates how the effects of socioeconomic position on health in later life can be theorised as a product of class processes, borrowing in part from Bourdieu. Other dimensions of inequality, such as gender, ethnicity, area and sexuality, are not discussed here. The paper concludes with a discussion of the need for a close focus on inequalities in later life in research, policy and practice.

  4. Democracy and growth in divided societies: A health-inequality trap?

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    Powell-Jackson, Timothy; Basu, Sanjay; Balabanova, Dina; McKee, Martin; Stuckler, David

    2011-07-01

    Despite a tremendous increase in financial resources, many countries are not on track to achieve the child and maternal mortality targets set out in the Millennium Development Goals 4 and 5. It is commonly argued that two main social factors - improved democratic governance and aggregate income - will ultimately lead to progress in reducing child and maternal mortality. However, these two factors alone may be insufficient to achieve progress in settings where there is a high level of social division. To test the effects of growth and democratisation, and their interaction with social inequalities, we regressed data on child and maternal mortality rates for 192 countries against internationally used indexes of income, democracy, and population inequality (including income, ethnic, linguistic, and religious divisions) covering the period 1970-2007. We found that a higher degree of social division, especially ethnic and linguistic fractionalisation, was significantly associated with greater child and maternal mortality rates. We further found that, even in democratic states, greater social division was associated with lower overall population access to healthcare and lesser expansion of health system infrastructure. Perversely, while greater democratisation and aggregate income were associated with reduced maternal and child mortality overall, in regions with high levels of ethnic fragmentation the health benefits of democratisation and rising income were undermined and, at high levels of inequality reversed, so that democracy and growth were adversely related to child and maternal mortality. These findings are consistent with literature suggesting that high degrees of social division in the context of democratisation can strengthen the power of dominant elite and ethnic groups in political decision-making, resulting in health and welfare policies that deprive minority groups (a health-inequality trap). Thus, we show that improving economic growth and democratic

  5. The effects of public health policies on population health and health inequalities in European welfare states: protocol for an umbrella review.

    Science.gov (United States)

    Thomson, Katie; Bambra, Clare; McNamara, Courtney; Huijts, Tim; Todd, Adam

    2016-04-08

    The welfare state is potentially an important macro-level determinant of health that also moderates the extent, and impact, of socio-economic inequalities in exposure to the social determinants of health. The welfare state has three main policy domains: health care, social policy (e.g. social transfers and education) and public health policy. This is the protocol for an umbrella review to examine the latter; its aim is to assess how European welfare states influence the social determinants of health inequalities institutionally through public health policies. A systematic review methodology will be used to identify systematic reviews from high-income countries (including additional EU-28 members) that describe the health and health equity effects of upstream public health interventions. Interventions will focus on primary and secondary prevention policies including fiscal measures, regulation, education, preventative treatment and screening across ten public health domains (tobacco; alcohol; food and nutrition; reproductive health services; the control of infectious diseases; screening; mental health; road traffic injuries; air, land and water pollution; and workplace regulations). Twenty databases will be searched using a pre-determined search strategy to evaluate population-level public health interventions. Understanding the impact of specific public health policy interventions will help to establish causality in terms of the effects of welfare states on population health and health inequalities. The review will document contextual information on how population-level public health interventions are organised, implemented and delivered. This information can be used to identify effective interventions that could be implemented to reduce health inequalities between and within European countries. PROSPERO CRD42016025283.

  6. Socioeconomic inequalities and changes in oral health behaviors among Brazilian adolescents from 2009 to 2012.

    Science.gov (United States)

    Freire, Maria do Carmo Matias; Jordão, Lidia Moraes Ribeiro; Malta, Deborah Carvalho; Andrade, Silvânia Suely Caribé de Araújo; Peres, Marco Aurelio

    2015-01-01

    OBJECTIVE To analyze oral health behaviors changes over time in Brazilian adolescents concerning maternal educational inequalities. METHODS Data from the Pesquisa Nacional de Saúde do Escolar (Brazilian National School Health Survey) were analyzed. The sample was composed of 60,973 and 61,145 students from 26 Brazilian state capitals and the Federal District in 2009 and 2012, respectively. The analyzed factors were oral health behaviors (toothbrushing frequency, sweets consumption, soft drink consumption, and cigarette experimentation) and sociodemographics (age, sex, race, type of school and maternal schooling). Oral health behaviors and sociodemographic factors in the two years were compared (Rao-Scott test) and relative and absolute measures of socioeconomic inequalities in health were estimated (slope index of inequality and relative concentration index), using maternal education as a socioeconomic indicator, expressed in number of years of study (> 11; 9-11; ≤ 8). RESULTS Results from 2012, when compared with those from 2009, for all maternal education categories, showed that the proportion of people with low toothbrushing frequency increased, and that consumption of sweets and soft drinks and cigarette experimentation decreased. In private schools, positive slope index of inequality and relative concentration index indicated higher soft drink consumption in 2012 and higher cigarette experimentation in both years among students who reported greater maternal schooling, with no significant change in inequalities. In public schools, negative slope index of inequality and relative concentration index indicated higher soft drink consumption among students who reported lower maternal schooling in both years, with no significant change overtime. The positive relative concentration index indicated inequality in 2009 for cigarette experimentation, with a higher prevalence among students who reported greater maternal schooling. There were no inequalities for

  7. Bridge health monitoring with consideration of environmental effects

    International Nuclear Information System (INIS)

    Kim, Yuhee; Kim, Hyunsoo; Shin, Soobong; Park, Jongchil

    2012-01-01

    Reliable response measurements are extremely important for proper bridge health monitoring but incomplete and unreliable data may be acquired due to sensor problems and environmental effects. In the case of a sensor malfunction, parts of the measured data can be missing so that the structural health condition cannot be monitored reliably. This means that the dynamic characteristics of natural frequencies can change as if the structure is damaged due to environmental effects, such as temperature variations. To overcome these problems, this paper proposes a systematic procedure of data analysis to recover missing data and eliminate the environmental effects from the measured data. It also proposed a health index calculated statistically using revised data to evaluate the health condition of a bridge. The proposed method was examined using numerically simulated data with a truss structure and then applied to a set of field data measured from a cable stayed bridge

  8. Bridge health monitoring with consideration of environmental effects

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Yuhee; Kim, Hyunsoo; Shin, Soobong [Inha Univ., Incheon (Korea, Republic of); Park, Jongchil [Korea Expressway Co., (Korea, Republic of)

    2012-12-15

    Reliable response measurements are extremely important for proper bridge health monitoring but incomplete and unreliable data may be acquired due to sensor problems and environmental effects. In the case of a sensor malfunction, parts of the measured data can be missing so that the structural health condition cannot be monitored reliably. This means that the dynamic characteristics of natural frequencies can change as if the structure is damaged due to environmental effects, such as temperature variations. To overcome these problems, this paper proposes a systematic procedure of data analysis to recover missing data and eliminate the environmental effects from the measured data. It also proposed a health index calculated statistically using revised data to evaluate the health condition of a bridge. The proposed method was examined using numerically simulated data with a truss structure and then applied to a set of field data measured from a cable stayed bridge.

  9. Socioeconomic Status and Health: A New Approach to the Measurement of Bivariate Inequality.

    Science.gov (United States)

    Erreygers, Guido; Kessels, Roselinde

    2017-06-23

    We suggest an alternative way to construct a family of indices of socioeconomic inequality of health. Our indices belong to the broad category of linear indices. In contrast to rank-dependent indices, which are defined in terms of the ranks of the socioeconomic variable and the levels of the health variable, our indices are based on the levels of both the socioeconomic and the health variable. We also indicate how the indices can be modified in order to introduce sensitivity to inequality in the socioeconomic distribution and to inequality in the health distribution. As an empirical illustration, we make a comparative study of the relation between income and well-being in 16 European countries using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 4.

  10. Socioeconomic Status and Health: A New Approach to the Measurement of Bivariate Inequality

    Science.gov (United States)

    Kessels, Roselinde

    2017-01-01

    We suggest an alternative way to construct a family of indices of socioeconomic inequality of health. Our indices belong to the broad category of linear indices. In contrast to rank-dependent indices, which are defined in terms of the ranks of the socioeconomic variable and the levels of the health variable, our indices are based on the levels of both the socioeconomic and the health variable. We also indicate how the indices can be modified in order to introduce sensitivity to inequality in the socioeconomic distribution and to inequality in the health distribution. As an empirical illustration, we make a comparative study of the relation between income and well-being in 16 European countries using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 4. PMID:28644405

  11. Inequality, wealth and health : Is decreasing income inequality the key to create healthier societies?

    NARCIS (Netherlands)

    Pop, I.A.; van Ingen, E.J.; van Oorschot, W.J.H.

    2013-01-01

    The idea that the level of stratification of societies contributes to the well-being of their members is gaining popularity. We contribute to this debate by investigating whether reducing inequalities in the income distribution of societies is a strategy for improving population health, especially

  12. Inequalities in multiple health outcomes by education, sex, and race in 93 US counties: why we should measure them all.

    Science.gov (United States)

    Asada, Yukiko; Whipp, Alyce; Kindig, David; Billard, Beverly; Rudolph, Barbara

    2014-06-13

    Regular reporting of health inequalities is essential to monitoring progress of efforts to reduce health inequalities. While reporting of population health became increasingly common, reporting of a subpopulation group breakdown of each indicator of the health of the population is rarely a standard practice. This study reports education-, sex-, and race-related inequalities in four health outcomes in each of the selected 93 counties in the United States in a systematic and comparable manner. This study is a cross-sectional analysis of large, publicly available data, 2008, 2009, and 2010 Behavioral Risk Factor Surveillance System (BRFSS) Selected Metropolitan/Micropolitan Area Risk Trends (SMART) and 2008, 2009, and 2010 United States Birth Records from the National Vital Statistics System. The study population is American adults older than 25 years of age residing in the selected 93 counties, representing about 30% of the US population, roughly equally covering all geographic regions of the country. Main outcome measures are: (1) Attribute (group characteristic)-specific inequality: education-, sex-, or race-specific inequality in each of the four health outcomes (poor or fair health, poor physical health days, poor mental health days, and low birthweight) in each county; (2) Overall inequality: the average of these three attribute-specific inequalities for each health outcome in each county; and (3) Summary inequality in total morbidity: the weighted average of the overall inequalities across the four health outcomes in each county. The range of inequality across the counties differed considerably by health outcome; inequality in poor or fair health had the widest range and the highest median among inequalities in all health outcomes. In more than 70% of the counties, education-specific inequality was the largest in all health outcomes except for low birthweight. It is feasible to extend population health reporting to include reporting of a subpopulation group

  13. Health inequalities: survey data compared to doctor defined data.

    NARCIS (Netherlands)

    Westert, G.P.; Schellevis, F.G.

    2003-01-01

    Aim: To compare prevalence of conditions and health inequalities in one study population using two methods of data collection: health interview survey and GP registration of consultations. Methods: Data is from the Second Dutch Survey of General Practice, using a multistage sampling design with

  14. Discrimination-related health inequality and role of social capital among marriage migrant women in South Korea.

    Science.gov (United States)

    Kim, Chang-O

    2016-10-26

    This study aimed to evaluate whether social capital could alleviate health inequality against racial discrimination and identify the critical nature of social capital that generates health inequality differences within the social context of South Korea. Using the data of the 2009 National Survey of Multicultural Families, a nationally representative sample in which 40,430 foreign wives participated, the concentration index (CI) was used to measure the discrimination-related inequalities in self-rated health and was decomposed into contributing factors. The results showed a significant concentration of poor self-rated health unfavorable to foreign wives who were highly discriminated (CI 0.023, standard error [SE] 0.001, p inequality in health was observed among the group of linking social capital (CI 0.008, SE 0.008, p .332). The total differential decomposition method showed two major factors that generate differences in health inequality between the groups of non-linking and linking social capital: protest against discrimination (35.8 %); experiences of discrimination (28.3 %). The present results indicated that linking social capital can be a useful resource of health resilience factor that equalizes discrimination-related health inequality among marriage migrant women in South Korea. This study provides additional evidence that social capital needs to be placed in its political context.

  15. Bridges analysis, design, structural health monitoring, and rehabilitation

    CERN Document Server

    Bakht, Baidar

    2015-01-01

    This book offers a valuable guide for practicing bridge engineers and graduate students in structural engineering; its main purpose is to present the latest concepts in bridge engineering in fairly easy-to-follow terms. The book provides details of easy-to-use computer programs for: ·      Analysing slab-on-girder bridges for live load distribution. ·      Analysing slab and other solid bridge components for live load distribution. ·      Analysing and designing concrete deck slab overhangs of girder bridges under vehicular loads. ·      Determining the failure loads of concrete deck slabs of girder bridges under concentrated wheel loads. In addition, the book includes extensive chapters dealing with the design of wood bridges and soil-steel bridges. Further, a unique chapter on structural health monitoring (SHM) will help bridge engineers determine the actual load carrying capacities of bridges, as opposed to their perceived analytical capacities. The chapter addressing structures...

  16. Inequalities in oral health: Understanding the contributions of education and income.

    Science.gov (United States)

    Farmer, Julie; Phillips, Rebecca C; Singhal, Sonica; Quiñonez, Carlos

    2017-09-14

    To quantify the extent to which income and education explain gradients in oral health outcomes. Using data from the Canadian Community Health Survey (CCHS 2003), binary logistic regression models were constructed to examine the relationship between income and education on self-reported oral health (SROH) and chewing difficulties (CD) while controlling for age, sex, ethnicity, employment status and dental insurance coverage. The relative index of inequality (RII) was utilized to quantify the extent to which income and education explain gradients in poor SROH and CD. Income and education gradients were present for SROH and CD. From fully adjusted models, income inequalities were greater for CD (RIIinc = 2.85) than for SROH (RIIinc = 2.75), with no substantial difference in education inequalities between the two. Income explained 37.4% and 42.4% of the education gradient in SROH and CD respectively, whereas education explained 45.2% and 6.1% of income gradients in SROH and CD respectively. Education appears to play a larger role than income when explaining inequalities in SROH; however, it is the opposite for CD. In this sample of the Canadian adult population, income explained over one third of the education gradient in SROH and CDs, whereas the contribution of education to income gradients varied by choice of self-reported outcome. Results call for stakeholders to improve affordability of dental care in order to reduce inequalities in the Canadian population.

  17. Socioeconomic inequalities in adolescent health 2002-2010: a time-series analysis of 34 countries participating in the Health Behaviour in School-aged Children study.

    Science.gov (United States)

    Elgar, Frank J; Pförtner, Timo-Kolja; Moor, Irene; De Clercq, Bart; Stevens, Gonneke W J M; Currie, Candace

    2015-05-23

    Information about trends in adolescent health inequalities is scarce, especially at an international level. We examined secular trends in socioeconomic inequality in five domains of adolescent health and the association of socioeconomic inequality with national wealth and income inequality. We undertook a time-series analysis of data from the Health Behaviour in School-aged Children study, in which cross-sectional surveys were done in 34 North American and European countries in 2002, 2006, and 2010 (pooled n 492,788). We used individual data for socioeconomic status (Health Behaviour in School-aged Children Family Affluence Scale) and health (days of physical activity per week, body-mass index Z score [zBMI], frequency of psychological and physical symptoms on 0-5 scale, and life satisfaction scored 0-10 on the Cantril ladder) to examine trends in health and socioeconomic inequalities in health. We also investigated whether international differences in health and health inequalities were associated with per person income and income inequality. From 2002 to 2010, average levels of physical activity (3·90 to 4·08 days per week; pInequalities between socioeconomic groups increased in physical activity (-0·79 to -0·83 days per week difference between most and least affluent groups; p=0·0008), zBMI (0·15 to 0·18; pinequality fall during this period (-0·98 to -0·95; p=0·0198). Internationally, the higher the per person income, the better and more equal health was in terms of physical activity (0·06 days per SD increase in income; pincome inequality uniquely related to fewer days of physical activity (-0·05 days; p=0·0295), higher zBMI (0·06; pinequalities between socioeconomic groups in psychological (0·13; p=0·0080) and physical (0·07; p=0·0022) symptoms, and life satisfaction (-0·10; p=0·0092). Socioeconomic inequality has increased in many domains of adolescent health. These trends coincide with unequal distribution of income between rich and poor

  18. Individual health and the visibility of village economic inequality: Longitudinal evidence from native Amazonians in Bolivia.

    Science.gov (United States)

    Undurraga, Eduardo A; Nica, Veronica; Zhang, Rebecca; Mensah, Irene C; Godoy, Ricardo A

    2016-12-01

    Mounting evidence suggests that income inequality is associated with worse individual health. But does the visibility of inequality matter? Using data from a horticultural-foraging society of native Amazonians in Bolivia (Tsimane'), we examined whether village inequality in resources and behaviors with greater cultural visibility is more likely to bear a negative association with health than village inequality in less conspicuous resources. We draw on a nine-year annual panel (2002-2010) from 13 Tsimane' villages for our main analysis, and an additional survey to gauge the cultural visibility of resources. We measured inequality using the Gini coefficient. We tested the robustness of our results using a shorter two-year annual panel (2008-2009) in another 40 Tsimane' villages and an additional measure of inequality (coefficient of variation, CV). Behaviors with low cultural visibility (e.g., household farm area planted with staples) were less likely to be associated with individual health, compared to more conspicuous behaviors (e.g., expenditures in durable goods, consumption of domesticated animals). We find some evidence that property rights and access to resources matter, with inequality of privately-owned resources showing a larger effect on health. More inequality was associated with improved perceived health - maybe due to improved health prospects from increasing wealth - and worse anthropometric indicators. For example, a unit increase in the Gini coefficient of expenditures in durable goods was associated with 0.24 fewer episodes of stress and a six percentage-point lower probability of reporting illness. A one-point increase in the CV of village inequality in meat consumption was associated with a 4 and 3 percentage-point lower probability of reporting illness and being in bed due to illness, and a 0.05 SD decrease in age-sex standardized arm-muscle area. In small-scale, rural societies at the periphery of market economies, nominal economic inequality in

  19. Socioeconomic inequalities in dental health services in Sao Paulo, Brazil, 2003-2008.

    Science.gov (United States)

    Monteiro, Camila Nascimento; Beenackers, Mariëlle A; Goldbaum, Moisés; de Azevedo Barros, Marilisa Berti; Gianini, Reinaldo José; Cesar, Chester Luiz Galvão; Mackenbach, Johan P

    2016-12-07

    Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the "Smiling Brazil" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in São Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them.

  20. Evaluation of socio-economic inequalities in the use of maternal health services in rural western China.

    Science.gov (United States)

    Li, C; Zeng, L; Dibley, M J; Wang, D; Pei, L; Yan, H

    2015-09-01

    To describe the use of maternal health services according to the standards of the Chinese Ministry of Health, and assess socio-economic inequalities in usage in rural Shaanxi province, western China. Cross-sectional survey. Principal components analysis was used to measure the economic status of households. A concentration index (CI) approach was used as a measure of socio-economic inequalities in the use of maternal health services, and a decomposable CI was used to identify the factors that contributed to the socio-economic inequalities in usage. In total, 4760 women who had given birth in the preceding three years were selected at random to be interviewed in the five counties. Household wealth index was calculated by constructing a linear index from asset ownership indicators using principal components analysis to derive weights. The CI approach is a standard measure in the analysis of inequalities in health. If the CI for the use of maternal health services is positive, it is pro-rich; if it is negative, it is pro-poor. The decomposition method was used to estimate the contributions of individual factors to CI. The overall CI for five or more prenatal visits was 0.075. The household wealth index was found to make the greatest contribution to socio-economic inequalities for five or more prenatal visits (35.5%), followed by maternal education (28.8%), receipt of a health handbook during pregnancy (12.1%), age group (11.0%), distance from health facility (10.5%), family members (1.5%) and district of residence (0.6%). Socio-economic inequalities in the use of prenatal health services were pro-rich in rural western China. Socio-economic inequalities in hospital delivery and postnatal health check-ups were not evident. Improving household economic status, providing prenatal health services for women with low income and low educational level, providing health handbooks and improving traffic conditions should be promoted as methods to eliminate socio

  1. Socioeconomic Inequalities in Health and Perceived Unmet Needs for Healthcare among the Elderly in Germany

    Directory of Open Access Journals (Sweden)

    Jens Hoebel

    2017-09-01

    Full Text Available Research into health inequalities in the elderly population of Germany is relatively scarce. This study examines socioeconomic inequalities in health and perceived unmet needs for healthcare and explores the dynamics of health inequalities with age among elderly people in Germany. Data were derived from the Robert Koch Institute’s cross-sectional German Health Update study. The sample was restricted to participants aged 50–85 years (n = 11,811. Socioeconomic status (SES was measured based on education, (former occupation, and income. Odds ratios and prevalence differences were estimated using logistic regression and linear probability models, respectively. Our results show that self-reported health problems were more prevalent among men and women with lower SES. The extent of SES-related health inequalities decreased at older ages, predominantly among men. Although the prevalence of perceived unmet needs for healthcare was low overall, low SES was associated with higher perceptions of unmet needs in both sexes and for several kinds of health services. In conclusion, socioeconomic inequalities in health exist in a late working age and early retirement but may narrow at older ages, particularly among men. Socially disadvantaged elderly people perceive greater barriers to accessing healthcare services than those who are better off.

  2. [Indicators to monitor the evolution of the economic crisis and its effects on health and health inequalities. SESPAS report 2014].

    Science.gov (United States)

    Pérez, Glòria; Rodríguez-Sanz, Maica; Domínguez-Berjón, Felicitas; Cabeza, Elena; Borrell, Carme

    2014-06-01

    The economic crisis has adverse effects on determinants of health and health inequalities. The aim of this article was to present a set of indicators of health and its determinants to monitor the effects of the crisis in Spain. On the basis of the conceptual framework proposed by the Commission for the Reduction of Social Health Inequalities in Spain, we searched for indicators of social, economic, and political (structural and intermediate) determinants of health, as well as for health indicators, bearing in mind the axes of social inequality (gender, age, socioeconomic status, and country of origin). The indicators were mainly obtained from official data sources published on the internet. The selected indicators are periodically updated and are comparable over time and among territories (among autonomous communities and in some cases among European Union countries), and are available for age groups, gender, socio-economic status, and country of origin. However, many of these indicators are not sufficiently reactive to rapid change, which occurs in the economic crisis, and consequently require monitoring over time. Another limitation is the lack of availability of indicators for the various axes of social inequality. In conclusion, the proposed indicators allow for progress in monitoring the effects of the economic crisis on health and health inequalities in Spain. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  3. Structural health monitoring of bridge cables : An overview

    OpenAIRE

    DRISSI HABTI, Monssef; BETTI, Raimondo; YANEV, Bojidar

    2009-01-01

    Bridges are critical components of the civil infrastructure and are normally designed for a long life span. The life span of suspension bridges depends on the health of their cables, which, in turn, is a function of many factors. Therefore, continuous health monitoring (SHM) and regular condition assessment of cables is highly desirable. In this article, some SHM procedures based on direct, indirect non-destructive techniques NDT, and vibration theory are presented.

  4. Inequalities in health--future threats to equity

    NARCIS (Netherlands)

    Gunning-Schepers, L. J.; Stronks, K.

    1999-01-01

    In discussions about equity there is a tendency to focus on the inequalities in health status that appear to be the result of the material and immaterial consequences of a lower income, professional or social status in society. If we look at publications such as the Black Report in the UK or

  5. Inequalities in advice provided by public health workers to women during antenatal sessions in rural India.

    Science.gov (United States)

    Singh, Abhishek; Pallikadavath, Saseendran; Ram, Faujdar; Ogollah, Reuben

    2012-01-01

    Studies have widely documented the socioeconomic inequalities in maternal and child health related outcomes in developing countries including India. However, there is limited research on the inequalities in advice provided by public health workers on maternal and child health during antenatal visits. This paper investigates the inequalities in advice provided by public health workers to women during antenatal visits in rural India. The District Level Household Survey (2007-08) was used to compute rich-poor ratios and concentration indices. Binary logistic regressions were used to investigate inequalities in advice provided by public health workers. The dependent variables comprised the advice provided on seven essential components of maternal and child health care. A significant proportion of pregnant women who attended at least four ANC sessions were not advised on these components during their antenatal sessions. Only 51%-72% of the pregnant women were advised on at least one of the components. Moreover, socioeconomic inequalities in providing advice were significant and the provision of advice concentrated disproportionately among the rich. Inequalities were highest in the case of advice on family planning methods. Advice on breastfeeding was least unequal. Public health workers working in lower level health facilities were significantly less likely than their counterparts in the higher level health facilities to provide specific advice. A significant proportion of women were not advised on recommended components of maternal and child health in rural India. Moreover, there were enormous socioeconomic inequalities. The findings of this study raise questions about the capacity of the public health care system in providing equitable services in India. The Government of India must focus on training and capacity building of the public health workers in communication skills so that they can deliver appropriate and recommended advice to all clients, irrespective of

  6. Inequalities in advice provided by public health workers to women during antenatal sessions in rural India.

    Directory of Open Access Journals (Sweden)

    Abhishek Singh

    Full Text Available Studies have widely documented the socioeconomic inequalities in maternal and child health related outcomes in developing countries including India. However, there is limited research on the inequalities in advice provided by public health workers on maternal and child health during antenatal visits. This paper investigates the inequalities in advice provided by public health workers to women during antenatal visits in rural India.The District Level Household Survey (2007-08 was used to compute rich-poor ratios and concentration indices. Binary logistic regressions were used to investigate inequalities in advice provided by public health workers. The dependent variables comprised the advice provided on seven essential components of maternal and child health care. A significant proportion of pregnant women who attended at least four ANC sessions were not advised on these components during their antenatal sessions. Only 51%-72% of the pregnant women were advised on at least one of the components. Moreover, socioeconomic inequalities in providing advice were significant and the provision of advice concentrated disproportionately among the rich. Inequalities were highest in the case of advice on family planning methods. Advice on breastfeeding was least unequal. Public health workers working in lower level health facilities were significantly less likely than their counterparts in the higher level health facilities to provide specific advice.A significant proportion of women were not advised on recommended components of maternal and child health in rural India. Moreover, there were enormous socioeconomic inequalities. The findings of this study raise questions about the capacity of the public health care system in providing equitable services in India. The Government of India must focus on training and capacity building of the public health workers in communication skills so that they can deliver appropriate and recommended advice to all clients

  7. Socioeconomic Inequalities in Mental Health of Adult Population: Serbian National Health Survey.

    Science.gov (United States)

    Santric-Milicevic, Milena; Jankovic, Janko; Trajkovic, Goran; Terzic-Supic, Zorica; Babic, Uros; Petrovic, Marija

    2016-01-01

    The global burden of mental disorders is rising. In Serbia, anxiety is the leading cause of disability-adjusted life years. Serbia has no mental health survey at the population level. The information on prevalence of mental disorders and related socioeconomic inequalities are valuable for mental care improvement. To explore the prevalence of mental health disorders and socioeconomic inequalities in mental health of adult Serbian population, and to explore whether age years and employment status interact with mental health in urban and rural settlements. Cross-sectional study. This study is an additional analysis of Serbian Health Survey 2006 that was carried out with standardized household questionnaires at the representative sample of 7673 randomly selected households - 15563 adults. The response rate was 93%. A multivariate logistic regression modeling highlighted the predictors of the 5 item Mental Health Inventory (MHI-5), and of chronic anxiety or depression within eight independent variables (age, gender, type of settlement, marital status and self-perceived health, education, employment status and Wealth Index). The significance level in descriptive statistics, chi square analysis and bivariate and multivariate logistic regressions was set at pinequalities contributed by differences in age, education, employment, marriage and the wealth status of the adult population.

  8. Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach.

    Science.gov (United States)

    Cai, Jiaoli; Coyte, Peter C; Zhao, Hongzhong

    2017-07-18

    In recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades. This study used six waves of the China Health and Nutrition Survey (CHNS) from 1991 to 2006. The recentered influence function (RIF) regression decomposition method was employed to decompose socioeconomic-related health inequality in China. Health status was derived from self-rated health (SRH) scores. The analyses were conducted on urban and rural samples separately. We found that the average level of health status declined from 1989 to 2006 for both urban and rural populations. Average health scores were greater for the rural population compared with those for the urban population. We also found that there exists pro-rich health inequality in China. While income and secondary education were the main factors to reduce health inequality, older people, unhealthy lifestyles and a poor home environment increased inequality. Health insurance had the opposite effects on health inequality for urban and rural populations, resulting in lower inequality for urban populations and higher inequality for their rural counterparts. These findings suggest that an effective way to reduce socioeconomic-related health inequality is not only to increase income and improve access to health care services, but also to focus on improvements in the lifestyles and the home environment. Specifically, for rural populations, it is particularly important to improve the design of health insurance and implement a more comprehensive insurance package that can effectively target the rural poor. Moreover, it is necessary to comprehensively promote the flush toilets and tap water in rural areas. For urban populations, in addition to promoting universal secondary education, healthy lifestyles should be promoted

  9. [How to reduce health inequities by targeting social determinants: the role of the health sector in Mexico].

    Science.gov (United States)

    Martínez Valle, Adolfo; Terrazas, Paulina; Alvarez, Fernando

    2014-04-01

    To study lines of action implemented in Mexico by the health sector from 2007 to 2012 in order to combat health inequities by targeting social determinants. To contribute to better understanding and knowledge of how health system inequalities in the Region of the Americas can be reduced. To formulate recommendations for designing a future public policy agenda to address the social determinants associated with health inequities in Mexico. The policies and programs established in the National Health Program (PRONASA) 2007 - 2012 were reviewed, and those that met four criteria were selected: i) they affected the social determinants of health (SDH); ii) they developed specific lines of action aimed at reducing health inequities; iii) they set concrete goals; and iv) they had been evaluated to determine whether those goals had been met. Three programs were selected: Seguro Popular, Programa de Desarrollo Humano Oportunidades (PDHO), and Caravanas de la Salud. Once each program's specific lines of action targeting SDH had been identified, the monitoring and evaluation indicators established in PRONASA 2007 - 2012, along with other available evaluations and empirical evidence, were used to measure the extent to which the goals were met. The findings showed that Seguro Popular had had a positive impact in terms of the financial protection of lower-income households. Moreover, the reduction in the gap between workers covered by the social security system and those who were not was more evident. By reducing poverty among its beneficiaries, the PDHO also managed to reduce health inequities. The indicators for Caravanas de la Salud, on the other hand, did not show statistically significant differences between the control localities and the localities covered by the program, except in the case of Pap tests. These findings have important public policy implications for designing an agenda that promotes continued targeting of SDH and heightening its impact in terms of reducing

  10. Lay perceptions of health and environmental inequalities and their associations to mental health.

    Science.gov (United States)

    Lima, Maria Luisa; Morais, Rita

    2015-11-01

    Health inequalities are very well documented in epidemiological research: rich people live longer and have fewer diseases than poor people. Recently, a growing amount of evidence from environmental sciences confirms that poor people are also more exposed to pollution and other environmental threats. However, research in the social sciences has shown a broad lack of awareness about health inequalities. In this paper, based on data collected in Portugal, we will analyze the consciousness of both health and environmental injustices and test one hypothesis for this social blindness. The results show, even more clearly than before, that public opinion tends to see rich and poor people as being equally susceptible to health and environmental events. Furthermore, those who have this equal view of the world present lower levels of depression and anxiety. Following cognitive adaptation theory, this "belief in an equal world" can be interpreted as a protective positive illusion about social justice, particularly relevant in one of the most unequal countries in Europe.

  11. The odd couple: using biomedical and intersectional approaches to address health inequities.

    Science.gov (United States)

    Hankivsky, Olena; Doyal, Lesley; Einstein, Gillian; Kelly, Ursula; Shim, Janet; Weber, Lynn; Repta, Robin

    Better understanding and addressing health inequities is a growing global priority. In this paper, we contribute to the literature examining complex relationships between biological and social dimensions in the field of health inequalities. Specifically, we explore the potential of intersectionality to advance current approaches to socio-biological entwinements. We provide a brief overview of current approaches to combining both biological and social factors in a single study, and then investigate the contributions of an intersectional framework to such work. We offer a number of concrete examples of how intersectionality has been used empirically to bring both biological and social factors together in the areas of HIV, post-traumatic stress disorder, female genital circumcision/mutilation/cutting, and cardiovascular disease. We argue that an intersectional approach can further research that integrates biological and social aspects of human lives and human health and ultimately generate better and more precise evidence for effective policies and practices aimed at tackling health inequities.

  12. Income inequality and population health in Islamic countries.

    Science.gov (United States)

    Esmaeili, A; Mansouri, S; Moshavash, M

    2011-09-01

    To undertake a fresh examination of the relationship between income inequality and population health for a group of Islamic countries using recent information derived from data resource sites from the World Bank and Islamic countries. Cross-sectional data on different measures of income distribution (prosperity, health care, women's role and environment) and indicators of population health were used to illuminate this issue. The relationship between income inequality and population health for a group of Islamic countries was tested using recent information derived from data resource sites from the World Bank and Islamic countries. After consideration of previous studies, seven dependent variables were determined and tested in six equation formats. According to the equations, the urban population percentage and gross domestic product are the most important significant variables that affect life expectancy and the infant mortality rate in Islamic countries. The income distribution coefficient, regardless of the type of measure, was almost insignificant in all equations. In selected Islamic countries, income level has a positive effect on population health, but the level of income distribution is not significant. Among the other dependent variables (e.g. different measures of income distribution, health care, role of women and environment), only environment and education had significant effects. Most of the Islamic countries studied are considered to be poorly developed. Copyright © 2011 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

  13. Socio-economic inequalities in health and health service use among older adults in India: results from the WHO Study on Global AGEing and adult health survey.

    Science.gov (United States)

    Brinda, E M; Attermann, J; Gerdtham, U G; Enemark, U

    2016-12-01

    The objectives of this study were to measure socio-economic inequalities in self-reported health (SRH) and healthcare visits and to identify factors contributing to health inequalities among older people aged 50-plus years. This study is based on a population-based, cross-sectional survey. We accessed data of 7150 older adults from the World Health Organization's Study on Global AGEing and adult health Indian survey. We used multivariate logistic regression to assess the correlates of poor SRH. We estimated the concentration index to measure socio-economic inequalities in SRH and healthcare visits. Regression-based decomposition analysis was employed to explore the correlates contributing to poor SRH inequality. About 19% (95% CI: 18%, 20%) reported poor health (n = 1368) and these individuals were significantly less wealthy. In total, 5134 (71.8%) participants made at least one health service visit. Increasing age, female gender, low social caste, rural residence, multimorbidity, absence of pension support, and health insurance were significant correlates of poor SRH. The standardized concentration index of poor SRH -0.122 (95% CI: -0.102; -0.141) and healthcare visits 0.364 (95% CI: 0.324, 0.403) indicated pro-poor and pro-rich inequality, respectively. Economic status (62.3%), pension support (11.5%), health insurance coverage (11.5%), social caste (10.7%) and place of residence (4.1%) were important contributors to inequalities in poor health. Socio-economic disparities in health and health care are major concerns in India. Achievement of health equity demand strategies beyond health policies, to include pro-poor, social welfare policies among older Indians. Copyright © 2016 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

  14. Relative health effects of education, socioeconomic status and domestic gender inequity in Sweden: a cohort study.

    Science.gov (United States)

    Phillips, Susan P; Hammarström, Anne

    2011-01-01

    Limited existing research on gender inequities suggests that for men workplace atmosphere shapes wellbeing while women are less susceptible to socioeconomic or work status but vulnerable to home inequities. Using the 2007 Northern Swedish Cohort (n = 773) we identified relative contributions of perceived gender inequities in relationships, financial strain, and education to self-reported health to determine whether controlling for sex, examining interactions between sex and other social variables, or sex-disaggregating data yielded most information about sex differences. Men had lower education but also less financial strain, and experienced less gender inequity. Overall, low education and financial strain detracted from health. However, sex-disaggregated data showed this to be true for women, whereas for men only gender inequity at home affected health. In the relatively egalitarian Swedish environment where women more readily enter all work arenas and men often provide parenting, traditional primacy of the home environment (for women) and the work environment (for men) in shaping health is reversing such that perceived domestic gender inequity has a significant health impact on men, while for women only education and financial strain are contributory. These outcomes were identified only when data were sex-disaggregated.

  15. Identifying determinants of socioeconomic inequality in health service utilization among patients with chronic non-communicable diseases in China.

    Science.gov (United States)

    Xie, Xin; Wu, Qunhong; Hao, Yanhua; Yin, Hui; Fu, Wenqi; Ning, Ning; Xu, Ling; Liu, Chaojie; Li, Ye; Kang, Zheng; He, Changzhi; Liu, Guoxiang

    2014-01-01

    People with chronic non-communicable diseases (NCD) are particularly vulnerable to socioeconomic inequality due to their long-term expensive health needs. This study aimed to assess socioeconomic-related inequality in health service utilization among NCD patients in China and to analyze factors associated with this disparity. Data were taken from the 2008 Chinese National Health Survey, in which a multiple stage stratified random sampling method was employed to survey 56,456 households. We analyzed the distribution of actual use, need-expected use, and need-standardized usage of outpatient services (over a two-week period) and inpatient services (over one-year) across different income groups in 27,233 adult respondents who reported as having a NCD. We used a concentration index to measure inequality in the distribution of health services, which was expressed as HI (Horizontal Inequity Index) for need-standardized use of services. A non-linear probit regression model was employed to detect inequality across socio-economic groups. Pro-rich inequity in health services among NCD patients was more substantial than the average population. A higher degree of pro-rich inequity (HI = 0.253) was found in inpatient services compared to outpatient services (HI = 0.089). Despite a greater need for health services amongst those of lower socio-economic status, their actual use is much less than their more affluent counterparts. Health service underuse by the poor and overuse by the affluent are evident. Household income disparity was the greatest inequality factor in NCD service use for both outpatients (71.3%) and inpatients (108%), more so than health insurance policies. Some medical insurance schemes, such as the MIUE, actually made a pro-rich contribution to health service inequality (16.1% for outpatient and 12.1% for inpatient). Inequality in health services amongst NCD patients in China remains largely determined by patient financial capability. The current

  16. Gender inequity in Saudi Arabia and its role in public health.

    Science.gov (United States)

    Mobaraki, A E H; Söderfeldt, B

    2010-01-01

    In Saudi Arabia, local interpretations of Islamic laws and social norms have a negative impact on the health and well-being of women. The objective of this literature review was to discuss gender inequity in Saudi Arabia and its relation to public health. Despite the scarcity of recent statistics and information regarding gender inequity in Saudi Arabia, this review is an attempt to explore this sensitive issue in this country. Women's roles and rights in Saudi society were examined, including education, marriage, polygamy, fertility, job opportunities, car driving and identification cards. Further research to assess knowledge, attitudes and practices towards health care of Saudi men and women is recommended.

  17. Fatigue evaluation for Tsing Ma Bridge using structural health monitoring data

    Science.gov (United States)

    Chan, Hung-tin Tommy; Ko, Jan Ming; Li, Zhao-Xia

    2001-08-01

    Fatigue assessment for the Tsing Ma Bridge (TMB) are presented based on the British standard BS5400 and the real-time structural health monitoring data under railway loading. TMB, as an essential portion of transport network for the Hong Kong airport, is the longest suspension bridge in the world carrying both highway and railway traffic. The bridge design has been mainly based on BS5400. A structural health monitoring system - Wind and Structural Health Monitoring System (WASHMS) for TMB has been operated since the bridge commissioning in May 1997. In order to assess the fatigue behavior of TMB under railway loading, strain gauges were installed on the bridge deck to measure the strain-time histories as soon as the bridge is loaded by a standard railway loading due to the service of an actual train. The strain-time history data at the critical members are then used to determine the stress spectrum, of which the rainflow method recommended for railway bridges by BS5400 is applied to count cycles of stress range. Miner's law is employed to evaluate fatigue damage and remaining service life of the bridge. The evaluated results of fatigue damage and remaining service life would help us to well understand about the fatigue design of the bridge and status in fatigue accumulation.

  18. Psychosocial work exposures among European employees: explanations for occupational inequalities in mental health.

    Science.gov (United States)

    Schütte, Stefanie; Chastang, Jean-François; Parent-Thirion, Agnès; Vermeylen, Greet; Niedhammer, Isabelle

    2015-09-01

    Social inequalities in mental health have been demonstrated but understanding the mechanisms remains unclear. This study aims at exploring the role of psychosocial work factors in explaining occupational inequalities in mental health among European employees. The study sample covered 33,443 employees coming from the European Working Conditions Survey 2010. Mental health was measured by the WHO-5 well-being index and socioeconomic position by occupation. Twenty-five psychosocial work factors were constructed including job demands, job influence and development, role stressors, social support, quality of leadership, discrimination, violence at work, working hours, job promotion, job insecurity and work-life imbalance. Multilevel linear regressions and bootstrap analyses were performed. Occupational differences were observed for poor mental health and almost all psychosocial work factors. Factors related to job demands, influence and development at work, social relationships and leadership, working hours and other factors contributed to explain the occupational inequalities in mental health. In particular, factors related to influence and development contributed substantially. Among men, workplace violences were found to contribute little whereas among women these factors did not play a role. Future prevention interventions should have a broad and comprehensive focus in order to reduce social inequalities in mental health. © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  19. The social income inequality, social integration and health status of internal migrants in China.

    Science.gov (United States)

    Lin, Yanwei; Zhang, Qi; Chen, Wen; Ling, Li

    2017-08-04

    To examine the interaction between social income inequality, social integration, and health status among internal migrants (IMs) who migrate between regions in China. We used the data from the 2014 Internal Migrant Dynamic Monitoring Survey in China, which sampled 15,999 IMs in eight cities in China. The Gini coefficient at the city level was calculated to measure social income inequality and was categorized into low (0.2 0.5). Health status was measured based upon self-reported health, subjective well-being, and perceptions of stress and mental health. Social integration was measured from four perspectives (acculturation and integration willingness, social insurance, economy, social communication). Linear mixed models were used to examine the interaction effects between health statuses, social integration, and the Gini coefficient. Factors of social integration, such as economic integration and acculturation and integration willingness, were significantly related to health. Social income inequality had a negative relationship with the health status of IMs. For example, IMs in one city, Qingdao, with a medium income inequality level (Gini = 0.329), had the best health statuses and better social integration. On the other hand, IMs in another city, Shenzhen, who had a large income inequality (Gini = 0.447) were worst in health statues and had worse social integration. Policies or programs targeting IMs should support integration willingness, promote a sense of belonging, and improve economic equality. In the meantime, social activities to facilitate employment and create social trust should also be promoted. At the societal level, structural and policy changes are necessary to promote income equity to promote IMs' general health status.

  20. Risk factors for not completing health interventions and the potential impact on health inequalities between educational groups

    DEFF Research Database (Denmark)

    Kure-Biegel, Nanna; Schnohr, Christina Warrer; Hindhede, Anette Lykke

    2016-01-01

    BACKGROUND: Individual-based interventions aim to improve patient self-management of chronic disease and to improve lifestyle among people at high risk, to reduce the prevalence of diseases contributing to health inequality. The present study investigates risk factors for uncompleted health...... interventions, via a combination of quantitative and qualitative methods. METHODS: From a health centre in Copenhagen, questionnaire data on educational level, gender, age, and cohabitation status from 104 participants in health interventions were used to examine risks for dropout. Qualitative telephone...... with low socioeconomic status will most likely have reduced opportunities for making healthy choices, in this case, completing the intervention, and this may increase health inequality....

  1. Neoliberalism and the recommodification of health inequalities: A case study of the Swedish welfare state 1980 to 2011.

    Science.gov (United States)

    Farrants, Kristin; Bambra, Clare

    2018-02-01

    This paper examines the effects of neoliberalism on health inequalities through an empirical examination of the recommodification of the social determinants of health. It uses a detailed case study of changes to three specific welfare policy domains in Sweden: unemployment, healthcare, and pensions. Using time series data from the repeat cross-sectional Swedish Living Conditions Survey for 1980-2011, it examines: (1) the effects of reductions in the replacement rate value of unemployment benefit on inequalities in self-reported general health between the employed and the unemployed; (2) the effects of reductions in the replacement rate value of pensions on educational inequalities in self-reported general health among pensioners; and (3) the effects of the increase in user charges on inequalities in having visited a doctor in the past 3 months by educational level. The results suggest mixed effects of welfare state recommodification on health inequalities: inequalities increased between the Swedish employed and unemployed, yet they did not increase in the retired population, and inequalities in access to healthcare also remained steady during the study period. The paper concludes that the association between recommodification and health inequalities in Sweden is stronger regarding unemployment benefits than pensions or healthcare, and that this may relate to the stigmatisation of the unemployed.

  2. Sexual orientation health inequality: Evidence from Understanding Society, the UK Longitudinal Household Study.

    Science.gov (United States)

    Booker, Cara L; Rieger, Gerulf; Unger, Jennifer B

    2017-08-01

    Few studies from the United Kingdom have fully investigated inequalities between members of different sexual minority groups and heterosexuals over range of health outcomes. Using data from over 40,000 individuals, this study explores the health inequalities of sexual minority UK adults. We include respondents who identify as other and those who prefer not to say (PNS). Data come from wave three (2011-2012) of the nationally-representative Understanding Society, the UK Household Longitudinal Study. Sexual orientation was asked in the self-completion portion of the study. Markers of health include physical and mental functioning, minor psychological distress, self-rated health, substance use and disability. Multiple linear and logistic regression analyses tested for differences in markers of health between sexual orientation groups. Overall, heterosexual respondents had the best health while bisexual respondents had the worst. Gay and lesbian respondents reported poorer health than heterosexuals, specifically with regards to mental functioning, distress and illness status. The other and PNS respondents were most similar to each other and generally experienced fewer health inequalities than gay and lesbian respondents; they were less likely to use tobacco or alcohol. In sum, sexual minorities experience health inequality. The inclusion of other and PNS respondents has not been done in other studies and shows that while they may be healthier than gay/lesbian and bisexual respondents they still experiences poorer health than heterosexuals. Health promotion interventions are needed for these other and PNS individuals, who might not participate in interventions targeted toward known sexual minority groups. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  3. [The Ineq-Cities research project on urban health inequalities: knowledge dissemination and transfer in Spain].

    Science.gov (United States)

    Camprubí, Lluís; Díez, Èlia; Morrison, Joana; Borrell, Carme

    2014-01-01

    The Ineq-Cities project analyzed inequalities in mortality in small areas and described interventions to reduce inequalities in health in 16 European cities. This field note describes the dissemination of the project in Spain. In accordance with the recommendations of the project, the objective was to translate relevant results to key stakeholders - mainly technical staff, municipal officers and local social agents - and to provide an introduction to urban inequalities in health and strategies to address them. Twenty-four workshops were given, attended by more than 350 professionals from 92 municipalities. Knowledge dissemination consisted of the publication of a short book on inequalities in health and the approach to this problem in cities and three articles in nonspecialized media, a proposal for a municipal motion, and knowledge dissemination activities in social networks. Users rated these activities highly and stressed the need to systematize these products. This process may have contributed to the inclusion of health inequalities in the political agenda and to the training of officers to correct them. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  4. Health and social inequities in Belgium.

    Science.gov (United States)

    Lagasse, R; Humblet, P C; Lenaerts, A; Godin, I; Moens, G F

    1990-01-01

    This paper presents two different yet complementary on-going studies related to the understanding of the mechanisms leading to social inequalities in health. The first part is devoted to a differential morbidity survey held in southern Belgium. It confirms that striking differences exist in the period around birth between social categories, and between the three districts under study. In a multivariate approach, differences remain between the social categories and between the district samples, which classically studied socio-demographical, behavioural and medical characteristics cannot fully explain. The role of cultural factors is analysed and discussed through the concept of 'health culture' and alternative hypotheses are reviewed in the light of the results. The second part reviews the studies conducted on the so-called avoidable mortality in the EEC and more specifically in Belgium. The concept of avoidable mortality is discussed, as well as its utility from the standpoint of the present concern on social inequalities. Differences between EEC countries are large, and even within Belgium there are important disparities between the districts. The role of health care supply has not been demonstrated yet in these two contexts. For Belgium, it appears that a major part of the unequally distributed mortality is constituted by causes of death considered as avoidable. Moreover, the most discriminating causes of death are overrepresented in socially deprived districts. The two perspectives are confronted in order to delineate perspectives for future research and operational outcomes for policy making and interventions.

  5. Socioeconomic inequalities in adolescent health 2002-2010 : A time-series analysis of 34 countries participating in the Health Behaviour in School-aged Children study

    NARCIS (Netherlands)

    Elgar, Frank J.; Pförtner, Timo Kolja; Moor, Irene; De Clercq, Bart; Stevens, Gonneke W J M|info:eu-repo/dai/nl/269103775; Currie, Candace

    2015-01-01

    Background Information about trends in adolescent health inequalities is scarce, especially at an international level. We examined secular trends in socioeconomic inequality in five domains of adolescent health and the association of socioeconomic inequality with national wealth and income

  6. Income inequality and health in Colombia

    Directory of Open Access Journals (Sweden)

    Sandra Rodríguez Acosta

    2016-07-01

    Full Text Available The purpose of this paper is twofold: first, to examine independent of the individual socioeconomic status, the effect of the contextual economic conditions on the self-rated health and, second, to explore region-level mechanisms that could explain the influence of the structural economic conditions on the low self-rated health status. For this, we use a multilevel analysis that allows us to distinguish between the individual and the contextual factors influencing the self-rated health. The results show that the socioeconomic status is an important determinant of the self-rated health of population in Colombia. However, significant differences remain in the health perception, even after controlling for individual wealth, education level and ethnicity. These differences only disappear when controlling for income inequality in the analysis.

  7. A health equity impact assessment umbrella program (AAPRISS) to tackle social inequalities in health: program description.

    Science.gov (United States)

    Lang, Thierry; Bidault, Elsa; Villeval, Mélanie; Alias, François; Gandouet, Benjamin; Servat, Martine; Theis, Ivan; Breton, Eric; Haschar-Noé, Nadine; Grosclaude, Pascale

    2016-09-01

    The failure to simultaneously address two objectives (increasing the average health of the population and reducing health inequalities) may have led to what has been observed in France so far: an overall decrease in mortality and increase in inequality. The Apprendre et Agir pour Réduire les Inégalités Sociales de Santé (AAPRISS) methodology is to analyze and modify interventions that are already underway in terms of their potential impact on health inequalities. It relies on partnership between researchers and actors in the health field, as well as policy makers. In this paper, we describe the program and discuss its feasibility and acceptability. This program is not a single intervention, but a process aiming at assessing and reshaping existing health programs, therefore acting as a kind of meta-intervention. The program develops scientific and methodological support stemming from co-construction methods aimed at increasing equity within the programs. Stakeholders from prevention policy-making and the health care system, as well as researchers, collaborate in defining interventions, monitoring their progress, and choosing indicators, methods and evaluation procedures. The target population is mainly the population of the greater Toulouse area. The steps of the process are described: (1) establishment of AAPRISS governance and partnerships; (2) inclusion of projects; and (3) the projects' process. Many partners have rallied around this program, which has been shown to be feasible and acceptable by partners and health actors. A major challenge is understanding each partner's expectations in terms of temporality of interventions, expected outcomes, assessment methods and indicators. Analyzing the projects has been quite feasible, and some modifications have been implemented in them in order to take inequalities in health into account. © The Author(s) 2015.

  8. Media portrayals and health inequalities: a case study of characterizations of Gene x Environment interactions.

    Science.gov (United States)

    Horwitz, Allan V

    2005-10-01

    This article examines how genetic and environmental interactions associated with health inequalities are constructed and framed in the presentation of scientific research. It uses the example of a major article about depression in a longitudinal study of young adults that appeared in Science in 2003. This portrayal of findings related to health inequalities uses a genetic lens that privileges genetic influences and diminishes environmental ones. The emphasis on the genetic side of Gene x Environment interactions can serve to deflect attention away from the important impact of social inequalities on health.

  9. Gender inequality: Bad for men's health | Cornell | Southern African ...

    African Journals Online (AJOL)

    Yet, this extreme gender inequality in mortality, both within and outside of ART programmes, has not given rise to widespread action. Here it is argued that, despite their dominance in society, men may be subject to a wide range of unfair discriminatory practices, which negatively affect their health outcomes. The health ...

  10. Health inequalities, physician citizens and professional medical associations: an Australian case study

    Directory of Open Access Journals (Sweden)

    Naccarella Lucio

    2007-08-01

    Full Text Available Abstract Background As socioeconomic health inequalities persist and widen, the health effects of adversity are a constant presence in the daily work of physicians. Gruen and colleagues suggest that, in responding to important population health issues such as this, defining those areas of professional obligation in contrast to professional aspiration should be on the basis of evidence and feasibility. Drawing this line between obligation and aspiration is a part of the work of professional medical colleges and associations, and in doing so they must respond to members as well as a range of other interest groups. Our aim was to explore the usefulness of Gruen's model of physician responsibility in defining how professional medical colleges and associations should lead the profession in responding to socioeconomic health inequalities. Methods We report a case study of how the Royal Australian College of General Practitioners is responding to the issue of health inequalities through its work. We undertook a consultation (80 interviews with stakeholders internal and external to the College and two focus groups with general practitioners and program and policy review of core programs of College interest and responsibility: general practitioner training and setting of practice standards, as well as its work in public advocacy. Results Some strategies within each of these College program areas were seen as legitimate professional obligations in responding to socioeconomic health inequality. However, other strategies, while potentially professional obligations within Gruen's model, were nevertheless contested. The key difference between these lay in different moral orientations. Actions where agreement existed were based on an ethos of care and compassion. Actions that were contested were based on an ethos of justice and human rights. Conclusion Colleges and professional medical associations have a role in explicitly leading a debate about values

  11. Time to address gender discrimination and inequality in the health workforce.

    Science.gov (United States)

    Newman, Constance

    2014-05-06

    Gender is a key factor operating in the health workforce. Recent research evidence points to systemic gender discrimination and inequalities in health pre-service and in-service education and employment systems. Human resources for health (HRH) leaders' and researchers' lack of concerted attention to these inequalities is striking, given the recognition of other forms of discrimination in international labour rights and employment law discourse. If not acted upon, gender discrimination and inequalities result in systems inefficiencies that impede the development of the robust workforces needed to respond to today's critical health care needs.This commentary makes the case that there is a clear need for sex- and age-disaggregated and qualitative data to more precisely illuminate gender-related trends and dynamics in the health workforce. Because of their importance for measurement, the paper also presents definitions and examples of sex or gender discrimination and offers specific case examples.At a broader level, the commentary argues that gender equality should be an HRH research, leadership, and governance priority, where the aim is to strengthen health pre-service and continuing professional education and employment systems to achieve better health systems outcomes, including better health coverage. Good HRH leadership, governance, and management involve recognizing the diversity of health workforces, acknowledging gender constraints and opportunities, eliminating gender discrimination and equalizing opportunity, making health systems responsive to life course events, and protecting health workers' labour rights at all levels. A number of global, national and institution-level actions are proposed to move the gender equality and HRH agendas forward.

  12. The influence of gender equality policies on gender inequalities in health in Europe.

    Science.gov (United States)

    Palència, Laia; Malmusi, Davide; De Moortel, Deborah; Artazcoz, Lucía; Backhans, Mona; Vanroelen, Christophe; Borrell, Carme

    2014-09-01

    Few studies have addressed the effect of gender policies on women's health and gender inequalities in health. This study aims to analyse the relationship between the orientation of public gender equality policies and gender inequalities in health in European countries, and whether this relationship is mediated by gender equality at country level or by other individual social determinants of health. A multilevel cross-sectional study was performed using individual-level data extracted from the European Social Survey 2010. The study sample consisted of 23,782 men and 28,655 women from 26 European countries. The dependent variable was self-perceived health. Individual independent variables were gender, age, immigrant status, educational level, partner status and employment status. The main contextual independent variable was a modification of Korpi's typology of family policy models (Dual-earner, Traditional-Central, Traditional-Southern, Market-oriented and Contradictory). Other contextual variables were the Gender Empowerment Measure (GEM), to measure country-level gender equality, and the Gross Domestic Product (GDP). For each country and country typology the prevalence of fair/poor health by gender was calculated and prevalence ratios (PR, women compared to men) and 95% confidence intervals (CI) were computed. Multilevel robust Poisson regression models were fitted. Women had poorer self-perceived health than men in countries with traditional family policies (PR = 1.13, 95%CI: 1.07-1.21 in Traditional-Central and PR = 1.27, 95%CI: 1.19-1.35 in Traditional-Southern) and in Contradictory countries (PR = 1.08, 95%CI: 1.05-1.11). In multilevel models, only gender inequalities in Traditional-Southern countries were significantly higher than those in Dual-earner countries. Gender inequalities in self-perceived health were higher, women reporting worse self-perceived health than men, in countries with family policies that were less oriented to gender equality

  13. Relative health effects of education, socioeconomic status and domestic gender inequity in Sweden: a cohort study.

    Directory of Open Access Journals (Sweden)

    Susan P Phillips

    Full Text Available INTRODUCTION: Limited existing research on gender inequities suggests that for men workplace atmosphere shapes wellbeing while women are less susceptible to socioeconomic or work status but vulnerable to home inequities. METHODS: Using the 2007 Northern Swedish Cohort (n = 773 we identified relative contributions of perceived gender inequities in relationships, financial strain, and education to self-reported health to determine whether controlling for sex, examining interactions between sex and other social variables, or sex-disaggregating data yielded most information about sex differences. RESULTS AND DISCUSSION: Men had lower education but also less financial strain, and experienced less gender inequity. Overall, low education and financial strain detracted from health. However, sex-disaggregated data showed this to be true for women, whereas for men only gender inequity at home affected health. In the relatively egalitarian Swedish environment where women more readily enter all work arenas and men often provide parenting, traditional primacy of the home environment (for women and the work environment (for men in shaping health is reversing such that perceived domestic gender inequity has a significant health impact on men, while for women only education and financial strain are contributory. These outcomes were identified only when data were sex-disaggregated.

  14. A globalization-oriented perspective on health, inequality and socio-economic development.

    Science.gov (United States)

    Tausch, Arno

    2012-01-01

    There has been an attention to inequality as a causal factor for deficient health in the medical journals over the last decades (Richard G. Wilkinson et al. and Schnell et al.); however, the reasons for inequality and the interactions of the underlying causes of inequality at the level of the world economy have not yet been properly explored in this kind of literature. The aim of this article is to provide a new, globalization-oriented, multi-disciplinary perspective on life expectancy, under-five mortality, inequality and socio-economic development in the world system, compatible with the advances in international sociological research on the subject over the last three decades. Taking up the traditions of quantitative sociology to study the effects of multinational corporation (MNC) penetration as a key determining variable for development outcomes such as socio-economic inequality and infant mortality, this article analyzes from the perspective of quantitative political science and economics this particular role of MNC penetration as the key variable for the determination of health, inequality and socio-economic development in 183 countries of the world system, using international social science standard data. As correctly predicted by quantitative sociology, but largely overlooked by the medical profession, the development style, implied by a high MNC penetration of their host countries, reflects the oligopolistic power, which transnational corporations wield over local economies. We took up an idea from Austro-American economist Joseph Alois Schumpeter (1883-1950), which states that the long-term effects of oligopolistic power are negative and lead toward economic and social stagnation. Our data show that although MNC penetration indeed led to certain short-term growth effects after 1990, today, social polarization and stagnation increase as a consequence of the development model, based on high MNC penetration. There is a negative trade-off between MNC

  15. Identifying determinants of socioeconomic inequality in health service utilization among patients with chronic non-communicable diseases in China.

    Directory of Open Access Journals (Sweden)

    Xin Xie

    Full Text Available BACKGROUND: People with chronic non-communicable diseases (NCD are particularly vulnerable to socioeconomic inequality due to their long-term expensive health needs. This study aimed to assess socioeconomic-related inequality in health service utilization among NCD patients in China and to analyze factors associated with this disparity. METHODS: Data were taken from the 2008 Chinese National Health Survey, in which a multiple stage stratified random sampling method was employed to survey 56,456 households. We analyzed the distribution of actual use, need-expected use, and need-standardized usage of outpatient services (over a two-week period and inpatient services (over one-year across different income groups in 27,233 adult respondents who reported as having a NCD. We used a concentration index to measure inequality in the distribution of health services, which was expressed as HI (Horizontal Inequity Index for need-standardized use of services. A non-linear probit regression model was employed to detect inequality across socio-economic groups. RESULTS: Pro-rich inequity in health services among NCD patients was more substantial than the average population. A higher degree of pro-rich inequity (HI = 0.253 was found in inpatient services compared to outpatient services (HI = 0.089. Despite a greater need for health services amongst those of lower socio-economic status, their actual use is much less than their more affluent counterparts. Health service underuse by the poor and overuse by the affluent are evident. Household income disparity was the greatest inequality factor in NCD service use for both outpatients (71.3% and inpatients (108%, more so than health insurance policies. Some medical insurance schemes, such as the MIUE, actually made a pro-rich contribution to health service inequality (16.1% for outpatient and 12.1% for inpatient. CONCLUSIONS: Inequality in health services amongst NCD patients in China remains largely

  16. Health Inequities and HIV, Viral Hepatitis, TB, and STDs

    Centers for Disease Control (CDC) Podcasts

    Dr. Kevin A. Fenton, Director of CDC's National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), discusses health inequities in the United States and how NCHHSTP research, policies, and programs can address them.

  17. The ethics of everyday practice in primary medical care: responding to social health inequities

    Science.gov (United States)

    2010-01-01

    Background Social and structural inequities shape health and illness; they are an everyday presence within the doctor-patient encounter yet, there is limited ethical guidance on what individual physicians should do. This paper draws on a study that explored how doctors and their professional associations ought to respond to the issue of social health inequities. Results Some see doctors as bound by a notion of care that is blind to a patient's social position, while others respond to this issue through invoking notions of justice and human rights where access to care is a prime focus. Both care and justice orientations however conceal important tensions linked to the presence of bioethical principles underpinning these. Other normative ethical theories like deontology, virtue ethics and utilitarianism do not provide adequate guidance on the problem of social health inequities either. Conclusion This paper explores if Bauman's notion of "forms of togetherness" provides the basis of a relational ethical theory that can help to develop a response to social health inequities of relevance to individual physicians. This theory goes beyond silence on the influence of social position of health and avoids amoral regulatory approaches to monitoring equity of care provision. PMID:20438627

  18. The ethics of everyday practice in primary medical care: responding to social health inequities.

    Science.gov (United States)

    Furler, John S; Palmer, Victoria J

    2010-05-03

    Social and structural inequities shape health and illness; they are an everyday presence within the doctor-patient encounter yet, there is limited ethical guidance on what individual physicians should do. This paper draws on a study that explored how doctors and their professional associations ought to respond to the issue of social health inequities. Some see doctors as bound by a notion of care that is blind to a patient's social position, while others respond to this issue through invoking notions of justice and human rights where access to care is a prime focus. Both care and justice orientations however conceal important tensions linked to the presence of bioethical principles underpinning these. Other normative ethical theories like deontology, virtue ethics and utilitarianism do not provide adequate guidance on the problem of social health inequities either. This paper explores if Bauman's notion of "forms of togetherness" provides the basis of a relational ethical theory that can help to develop a response to social health inequities of relevance to individual physicians. This theory goes beyond silence on the influence of social position of health and avoids amoral regulatory approaches to monitoring equity of care provision.

  19. The Influence of Regional Social Inequality and Labour Market Characteristics on Health

    Directory of Open Access Journals (Sweden)

    Christiane Gross

    2013-09-01

    Full Text Available The influence of contextual factors on individual health status has been demonstrated by a number of studies even when controlling for the individual socio-economic situation (and other relevant factors. The article examines whether and to what extent variables of the place of residence have an effect on individual health status. We do not only refer to income levels and inequality, but also to effects of the educational level and inequality and the regional unemployment rate. As data basis for the individual level, we use the 2006 wave of the German Socio-Economic Panel Study (SOEP and add regional information on the aggregate level based on the regional units (Raumordnungsregionen of the Microcensus of 2005. These data will be analysed using multilevel models. The results reveal that regional educational inequality intensifies the individual educational effect, whereby members of less-educated groups in educationally disparate regions exhibit particularly low health chances. In addition, a high regional unemployment rate intensifies the negative effect of individual unemployment on men’s health.

  20. Informing Investment to Reduce Inequalities: A Modelling Approach.

    Directory of Open Access Journals (Sweden)

    Andrew McAuley

    Full Text Available Reducing health inequalities is an important policy objective but there is limited quantitative information about the impact of specific interventions.To provide estimates of the impact of a range of interventions on health and health inequalities.Literature reviews were conducted to identify the best evidence linking interventions to mortality and hospital admissions. We examined interventions across the determinants of health: a 'living wage'; changes to benefits, taxation and employment; active travel; tobacco taxation; smoking cessation, alcohol brief interventions, and weight management services. A model was developed to estimate mortality and years of life lost (YLL in intervention and comparison populations over a 20-year time period following interventions delivered only in the first year. We estimated changes in inequalities using the relative index of inequality (RII.Introduction of a 'living wage' generated the largest beneficial health impact, with modest reductions in health inequalities. Benefits increases had modest positive impacts on health and health inequalities. Income tax increases had negative impacts on population health but reduced inequalities, while council tax increases worsened both health and health inequalities. Active travel increases had minimally positive effects on population health but widened health inequalities. Increases in employment reduced inequalities only when targeted to the most deprived groups. Tobacco taxation had modestly positive impacts on health but little impact on health inequalities. Alcohol brief interventions had modestly positive impacts on health and health inequalities only when strongly socially targeted, while smoking cessation and weight-reduction programmes had minimal impacts on health and health inequalities even when socially targeted.Interventions have markedly different effects on mortality, hospitalisations and inequalities. The most effective (and likely cost

  1. Are socioeconomic disparities in health behavior mediated by differential media use? Test of the communication inequality theory.

    Science.gov (United States)

    Ishikawa, Yoshiki; Kondo, Naoki; Kawachi, Ichiro; Viswanath, Kasisomayajula

    2016-11-01

    Communication inequality has been offered as one potential mechanism through which social determinants influence multiple health behaviors. The purpose of this study was to examine the underlying mechanisms between communication inequality and health behaviors. Data from a nationally representative cross-sectional survey of 18,426 people aged 18 years and above in the United States were used for secondary analysis. Measures included socio-demographic characteristics, social participation (structural social capital), health media use (TV, print, and the Internet), and five health behaviors (physical activity, cigarette smoking, alcohol use, and intake of fruit and vegetable). Path analysis was performed to examine the linkages between social determinants, health media use, social participation, and social gradients in health behaviors. Path analysis revealed that socioeconomic gradients in health behaviors is mediated by: 1) inequalities in health media use; 2) disparities in social participation, which leads to differential media use; and 3) disparities in social participation that are not mediated by media use. Consistent with the theory of communication inequality, socioeconomic disparities in media use partially mediate disparities in multiple health behaviors. To address health inequalities, it is important to utilize health media to target populations with low socioeconomic statuses. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  2. Multidisciplinary health monitoring of a steel bridge deck structure

    NARCIS (Netherlands)

    Pahlavan, P.L.; Pijpers, R.J.M.; Paulissen, J.H.; Hakkesteegt, H.C.; Jansen, T.H.

    2013-01-01

    Fatigue cracks in orthotropic bridge decks are an important cause for the necessary renovation of existing bridges. Parallel utilization of various technologies based on different physical sensing principles can potentially maximize the efficiency of structural health monitoring (SHM) systems for

  3. [Self-rated health in adults: influence of poverty and income inequality in the area of residence].

    Science.gov (United States)

    Caicedo, Beatriz; Berbesi Fernández, Dedsy

    2015-01-01

    To evaluate the influence of income inequality and poverty in the towns of Bogotá, Colombia, on poor self-rated health among their residents. The study was based on a multipurpose survey applied in Bogotá-Colombia. A hierarchical data structure (individuals=level1, locations=level 2) was used to define a logit-type multilevel logistic model. The dependent variable was self-perceived poor health, and local variables were income inequality and poverty. All analyses were controlled for socio-demographic variables and stratified by sex. The prevalence of self-reported fair or poor health in the study population was 23.2%. Women showed a greater risk of ill health, as well as men and women with a low educational level, older persons, those without work in the last week and persons affiliated to the subsidized health system. The highest levels of poverty in the city increased the risk of poor health. Cross-level interactions showed that young women and men with a low education level were the most affected by income inequality in the locality. In Bogotá, there are geographical differences in the perception of health. Higher rates of poverty and income inequality were associated with an increased risk of self-perceived poor health. Notable findings were the large health inequalities at the individual and local levels. Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

  4. Lay perceptions of health and environmental inequalities and their associations to mental health

    Directory of Open Access Journals (Sweden)

    Maria Luisa Lima

    2015-11-01

    Full Text Available Abstract Health inequalities are very well documented in epidemiological research: rich people live longer and have fewer diseases than poor people. Recently, a growing amount of evidence from environmental sciences confirms that poor people are also more exposed to pollution and other environmental threats. However, research in the social sciences has shown a broad lack of awareness about health inequalities. In this paper, based on data collected in Portugal, we will analyze the consciousness of both health and environmental injustices and test one hypothesis for this social blindness. The results show, even more clearly than before, that public opinion tends to see rich and poor people as being equally susceptible to health and environmental events. Furthermore, those who have this equal view of the world present lower levels of depression and anxiety. Following cognitive adaptation theory, this “belief in an equal world” can be interpreted as a protective positive illusion about social justice, particularly relevant in one of the most unequal countries in Europe.

  5. What can alienation theory contribute to an understanding of social inequalities in health?

    Science.gov (United States)

    Crinson, Iain; Yuill, Chris

    2008-01-01

    This article examines both the contribution and the limitations of research that has sought to develop a causal understanding of the psychosocial dimension of inequalities in health. The article seeks to revive interest in Marx's theory of alienation in developing the case for an alternative materialist conceptualization that is able to postulate the pathways from alienation as a psychosocial generative structure to social inequalities in health outcomes within late modern societies.

  6. Inequity and health. Is malnutrition really caused by poor nutrition?

    Science.gov (United States)

    Bharmal, F Y

    2000-08-01

    To look at inequities leading to malnutrition and from the wider picture to find root causes and deal with them in order to alleviate malnutrition. Literature review. The health of the population is adversely affected by the inequities in the country. Women and children being most vulnerable are worst affected. The prevalence of Protein Energy Malnutrition (P.E.M.) in children under five years of age is 51 percent. Such a magnitude of malnutrition in a country, where availability of food per capita is more than adequate, points towards the fact that the inequities within the country are at the root of the problem. Poor income is not the only predictor of malnutrition, gender, urban-rural differences in access, utilization and quality of health care also influence health. In addition, there are some underlying factors such as illiteracy, unawareness of the mother about healthy behaviors, lack of decision-making power of women, along with deep-rooted cultural values of a patriarchal system. Malnutrition is caused by a multitude of factors, some of which are biological, others are environmental, cultural or social. Education of the invisible half of the population, who actually look after the children and the family, is an important strategy to alleviate this problem.

  7. Health Inequalities Among Korean Employees

    Directory of Open Access Journals (Sweden)

    Eunsuk Choi

    2017-12-01

    Full Text Available Background: Social status might be a determinant of occupational health inequalities. This study analyzed the effects of social status on both work environments and health outcomes. Methods: The study sample consisted of 27,598 wage employees aged 15 years and older from among the Korean Working Condition Survey participants in 2011. Work environments included atypical work, physical risks, ergonomic risks, work demands, work autonomy, social supports, and job rewards. Health outcomes comprised general health, health and safety at risk because of work, the World Health Organization-5 Well-being Index, work-related musculoskeletal disease, and work-related injury. Multivariable logistic-regression models were used to identify the associations between social status and work environments and health outcomes. Results: Employees in the demographically vulnerable group had lower occupational status compared with their counterparts. Low social status was largely related to adverse work environments. Especially, precarious employment and manual labor occupation were associated with both adverse work environments and poor health outcomes. Conclusion: Precarious and manual workers should take precedence in occupational health equity policies and interventions. Their cumulative vulnerability, which is connected to demographics, occupational status, adverse work environments, or poor health outcomes, can be improved through a multilevel approach such as labor market, organizations, and individual goals. Keywords: employee health, health equity, social status

  8. Inequities in utilization of maternal health interventions in Namibia: implications for progress towards MDG 5 targets

    Directory of Open Access Journals (Sweden)

    Kirigia Joses

    2010-06-01

    Full Text Available Abstract Background Inequities in the utilization of maternal health services impede progress towards the MDG 5 target of reducing the maternal mortality ratio by three quarters, between 1990 and 2015. In Namibia, despite increasing investments in the health sector, the maternal mortality ratio has increased from 271 per 100,000 live births in the period 1991-2000 to 449 per 100,000 live births in 1998-2007. Monitoring equity in the use of maternal health services is important to target scarce resources to those with more need and expedite the progress towards the MDG 5 target. The objective of this study is to measure socio-economic inequalities in access to maternal health services and propose recommendations relevant for policy and planning. Methods Data from the Namibia Demographic and Health Survey 2006-07 are analyzed for inequities in the utilization of maternal health. In measuring the inequities, rate-ratios, concentration curves and concentration indices are used. Results Regions with relatively high human development index have the highest rates of delivery by skilled health service providers. The rate of caesarean section in women with post secondary education is about seven times that of women with no education. Women in urban areas are delivered by skilled providers 30% more than their rural counterparts. The rich use the public health facilities 30% more than the poor for child delivery. Conclusion Most of the indicators such as delivery by trained health providers, delivery by caesarean section and postnatal care show inequities favoring the most educated, urban areas, regions with high human development indices and the wealthy. In the presence of inequities, it is difficult to achieve a significant reduction in the maternal mortality ratio needed to realize the MDG 5 targets so long as a large segment of society has inadequate access to essential maternal health services and other basic social services. Addressing inequities in

  9. The impact of increasing income inequalities on educational inequalities in mortality - An analysis of six European countries.

    Science.gov (United States)

    Hoffmann, Rasmus; Hu, Yannan; de Gelder, Rianne; Menvielle, Gwenn; Bopp, Matthias; Mackenbach, Johan P

    2016-07-08

    Over the past decades, both health inequalities and income inequalities have been increasing in many European countries, but it is unknown whether and how these trends are related. We test the hypothesis that trends in health inequalities and trends in income inequalities are related, i.e. that countries with a stronger increase in income inequalities have also experienced a stronger increase in health inequalities. We collected trend data on all-cause and cause-specific mortality, as well as on the household income of people aged 35-79, for Belgium, Denmark, England & Wales, France, Slovenia, and Switzerland. We calculated absolute and relative differences in mortality and income between low- and high-educated people for several time points in the 1990s and 2000s. We used fixed-effects panel regression models to see if changes in income inequality predicted changes in mortality inequality. The general trend in income inequality between high- and low-educated people in the six countries is increasing, while the mortality differences between educational groups show diverse trends, with absolute differences mostly decreasing and relative differences increasing in some countries but not in others. We found no association between trends in income inequalities and trends in inequalities in all-cause mortality, and trends in mortality inequalities did not improve when adjusted for rising income inequalities. This result held for absolute as well as for relative inequalities. A cause-specific analysis revealed some association between income inequality and mortality inequality for deaths from external causes, and to some extent also from cardiovascular diseases, but without statistical significance. We find no support for the hypothesis that increasing income inequality explains increasing health inequalities. Possible explanations are that other factors are more important mediators of the effect of education on health, or more simply that income is not an important

  10. Rising inequalities in income and health in China: Who is left behind?

    Science.gov (United States)

    Baeten, Steef; Van Ourti, Tom; van Doorslaer, Eddy

    2013-01-01

    In recent decades, China has experienced double-digit economic growth rates and rising inequality. This paper implements a new decomposition approach using the China Health and Nutrition Survey (1991–2006) to examine the extent to which changes in level and distribution of incomes and in income mobility are related to health disparities between rich and poor. We find that health disparities in China relate to rising income inequality and in particular to the adverse health and income experience of older (wo)men, but not to the growth rate of average incomes over the last decades. These findings suggest that replacement incomes and pensions at older ages may be one of the most important policy levers for reducing health disparities between rich and poor Chinese. PMID:24189450

  11. [Gender inequity in the access to health care in Chile].

    Science.gov (United States)

    Vega, Jeanette; Bedregal, Paula; Jadue, Liliana; Delgado, Iris

    2003-06-01

    In the last two decades, Chile has experienced advances in economical development and global health indicators. However, gender inequities persist in particular related to access to health services and financing of health insurance. To examine gender inequities in the access to health care in Chile. An analysis of data obtained from a serial national survey applied to assess social policies (CASEN) carried out by the Ministry of Planning. During the survey 45,379 and 48,107 dwellings were interviewed in 1994 and in 1998, respectively. Women use health services 1.5 times more often, their salaries are 30% lower in all socioeconomic strata. Besides, in the private health sector, women pay higher insurance premiums than men. Men of less than two years of age have 2.5 times more preventive consultations than girls. This difference, although of lesser magnitude, is also observed in people over 60 years. Women of high income quintiles and users of private health insurance have a better access to preventive consultations but not to specialized care. An improvement in equitable access of women to health care and financing is recommended. Also, monitoring systems to survey these indicators for women should improve their efficiency.

  12. Health inequalities among urban children in India: a comparative assessment of Empowered Action Group (EAG) and South Indian states.

    Science.gov (United States)

    Arokiasamy, P; Jain, Kshipra; Goli, Srinivas; Pradhan, Jalandhar

    2013-03-01

    As India rapidly urbanizes, within urban areas socioeconomic disparities are rising and health inequality among urban children is an emerging challenge. This paper assesses the relative contribution of socioeconomic factors to child health inequalities between the less developed Empowered Action Group (EAG) states and more developed South Indian states in urban India using data from the 2005-06 National Family Health Survey. Focusing on urban health from varying regional and developmental contexts, socioeconomic inequalities in child health are examined first using Concentration Indices (CIs) and then the contributions of socioeconomic factors to the CIs of health variables are derived. The results reveal, in order of importance, pronounced contributions of household economic status, parent's illiteracy and caste to urban child health inequalities in the South Indian states. In contrast, parent's illiteracy, poor economic status, being Muslim and child birth order 3 or more are major contributors to health inequalities among urban children in the EAG states. The results suggest the need to adopt different health policy interventions in accordance with the pattern of varying contributions of socioeconomic factors to child health inequalities between the more developed South Indian states and less developed EAG states.

  13. Health and social inequities in Malta.

    Science.gov (United States)

    Agius, F

    1990-01-01

    This paper focuses on the sources that are thought to lead to the genesis of health and social inequity in a small island community. It is largely a descriptive exposition, the main aim of which is to introduce the topic in Malta. Small size is the key geographical factor. This fact is dwelt upon to stress that although there are differences, say, between the two inhabitable islands, such differences are very small. Social homogeneity and an almost indiscernible urban-rural difference are strong factors that reduce any tendency for regional inequities. Socio-cultural factors in Malta are largely determined by family life and its relation with the established church. The traditional Catholic way of life is depicted as gradually giving way to a more secular lifestyle. Politics is represented as the prime factor for causing division within the this society. This is not without reason since this factor has taken over the other cause of division, namely parochialism. Political factors determine the distribution of resources including health resources. The important economic factors are that there are no great differences between the high income and the low income groups. However, due importance must always be given to the subterranean economy. The health profile is that of a developed country with low infant mortality and a long life expectancy. Infectious diseases have been on the decline and their persistence is usually linked to areas that have remained underdeveloped. The disadvantaged groups identified are the chronically unemployed, single mothers, possibly a section of the migrant population and the elderly.

  14. Impact of income and income inequality on infant health outcomes in the United States.

    Science.gov (United States)

    Olson, Maren E; Diekema, Douglas; Elliott, Barbara A; Renier, Colleen M

    2010-12-01

    The goal was to investigate the relationships of income and income inequality with neonatal and infant health outcomes in the United States. The 2000-2004 state data were extracted from the Kids Count Data Center. Health indicators included proportion of preterm births (PTBs), proportion of infants with low birth weight (LBW), proportion of infants with very low birth weight (VLBW), and infant mortality rate (IMR). Income was evaluated on the basis of median family income and proportion of federal poverty levels; income inequality was measured by using the Gini coefficient. Pearson correlations evaluated associations between the proportion of children living in poverty and the health indicators. Linear regression evaluated predictive relationships between median household income, proportion of children living in poverty, and income inequality for the 4 health indicators. Median family income was negatively correlated with all birth outcomes (PTB, r = -0.481; LBW, r = -0.295; VLBW, r = -0.133; IMR, r = -0.432), and the Gini coefficient was positively correlated (PTB, r = 0.339; LBW, r = 0.398; VLBW, r = 0.460; IMR, r = 0.114). The Gini coefficient explained a significant proportion of the variance in rate for each outcome in linear regression models with median family income. Among children living in poverty, the role of income decreased as the degree of poverty decreased, whereas the role of income inequality increased. Both income and income inequality affect infant health outcomes in the United States. The health of the poorest infants was affected more by absolute wealth than relative wealth.

  15. Do differences in the administrative structure of populations confound comparisons of geographic health inequalities?

    LENUS (Irish Health Repository)

    Jackson, Andrew L

    2010-08-18

    Abstract Background Geographical health inequalities are naturally described by the variation in health outcomes between areas (e.g. mortality rates). However, comparisons made between countries are hampered by our lack of understanding of the effect of the size of administrative units, and in particular the modifiable areal unit problem. Our objective was to assess how differences in geographic and administrative units used for disseminating data affect the description of health inequalities. Methods Retrospective study of standard populations and deaths aggregated by administrative regions within 20 European countries, 1990-1991. Estimated populations and deaths in males aged 0-64 were in 5 year age bands. Poisson multilevel modelling was conducted of deaths as standardised mortality ratios. The variation between regions within countries was tested for relationships with the mean region population size and the unequal distribution of populations within each country measured using Gini coefficients. Results There is evidence that countries whose regions vary more in population size show greater variation and hence greater apparent inequalities in mortality counts. The Gini coefficient, measuring inequalities in population size, ranged from 0.1 to 0.5 between countries; an increase of 0.1 was accompanied by a 12-14% increase in the standard deviation of the mortality rates between regions within a country. Conclusions Apparently differing health inequalities between two countries may be due to differences in geographical structure per se, rather than having any underlying epidemiological cause. Inequalities may be inherently greater in countries whose regions are more unequally populated.

  16. Trends in socioeconomic inequalities in oral health among 15-year-old Danish adolescents during 1995-2013

    DEFF Research Database (Denmark)

    Sengupta, Kaushik; Christensen, Lisa Bøge; Mortensen, Laust Hvas

    2017-01-01

    BACKGROUND: Scandinavian welfare states, despite having better population oral health than less egalitarian societies, are characterized by ubiquitous social gradients and large relative socioeconomic inequalities in oral health. However, trends in these inequalities among Scandinavian children a...

  17. Health, Health Inequality, and Cost Impacts of Annual Increases in Tobacco Tax: Multistate Life Table Modeling in New Zealand.

    Directory of Open Access Journals (Sweden)

    Tony Blakely

    2015-07-01

    Full Text Available Countries are increasingly considering how to reduce or even end tobacco consumption, and raising tobacco taxes is a potential strategy to achieve these goals. We estimated the impacts on health, health inequalities, and health system costs of ongoing tobacco tax increases (10% annually from 2011 to 2031, compared to no tax increases from 2011 ["business as usual," BAU], in a country (New Zealand with large ethnic inequalities in smoking-related and noncommunicable disease (NCD burden.We modeled 16 tobacco-related diseases in parallel, using rich national data by sex, age, and ethnicity, to estimate undiscounted quality-adjusted life-years (QALYs gained and net health system costs over the remaining life of the 2011 population (n = 4.4 million. A total of 260,000 (95% uncertainty interval [UI]: 155,000-419,000 QALYs were gained among the 2011 cohort exposed to annual tobacco tax increases, compared to BAU, and cost savings were US$2,550 million (95% UI: US$1,480 to US$4,000. QALY gains and cost savings took 50 y to peak, owing to such factors as the price sensitivity of youth and young adult smokers. The QALY gains per capita were 3.7 times greater for Māori (indigenous population compared to non-Māori because of higher background smoking prevalence and price sensitivity in Māori. Health inequalities measured by differences in 45+ y-old standardized mortality rates between Māori and non-Māori were projected to be 2.31% (95% UI: 1.49% to 3.41% less in 2041 with ongoing tax rises, compared to BAU. Percentage reductions in inequalities in 2041 were maximal for 45-64-y-old women (3.01%. As with all such modeling, there were limitations pertaining to the model structure and input parameters.Ongoing tobacco tax increases deliver sizeable health gains and health sector cost savings and are likely to reduce health inequalities. However, if policy makers are to achieve more rapid reductions in the NCD burden and health inequalities, they will also

  18. Health, Health Inequality, and Cost Impacts of Annual Increases in Tobacco Tax: Multistate Life Table Modeling in New Zealand

    Science.gov (United States)

    Blakely, Tony; Cobiac, Linda J.; Cleghorn, Christine L.; Pearson, Amber L.; van der Deen, Frederieke S.; Kvizhinadze, Giorgi; Nghiem, Nhung; McLeod, Melissa; Wilson, Nick

    2015-01-01

    Background Countries are increasingly considering how to reduce or even end tobacco consumption, and raising tobacco taxes is a potential strategy to achieve these goals. We estimated the impacts on health, health inequalities, and health system costs of ongoing tobacco tax increases (10% annually from 2011 to 2031, compared to no tax increases from 2011 [“business as usual,” BAU]), in a country (New Zealand) with large ethnic inequalities in smoking-related and noncommunicable disease (NCD) burden. Methods and Findings We modeled 16 tobacco-related diseases in parallel, using rich national data by sex, age, and ethnicity, to estimate undiscounted quality-adjusted life-years (QALYs) gained and net health system costs over the remaining life of the 2011 population (n = 4.4 million). A total of 260,000 (95% uncertainty interval [UI]: 155,000–419,000) QALYs were gained among the 2011 cohort exposed to annual tobacco tax increases, compared to BAU, and cost savings were US$2,550 million (95% UI: US$1,480 to US$4,000). QALY gains and cost savings took 50 y to peak, owing to such factors as the price sensitivity of youth and young adult smokers. The QALY gains per capita were 3.7 times greater for Māori (indigenous population) compared to non-Māori because of higher background smoking prevalence and price sensitivity in Māori. Health inequalities measured by differences in 45+ y-old standardized mortality rates between Māori and non-Māori were projected to be 2.31% (95% UI: 1.49% to 3.41%) less in 2041 with ongoing tax rises, compared to BAU. Percentage reductions in inequalities in 2041 were maximal for 45–64-y-old women (3.01%). As with all such modeling, there were limitations pertaining to the model structure and input parameters. Conclusions Ongoing tobacco tax increases deliver sizeable health gains and health sector cost savings and are likely to reduce health inequalities. However, if policy makers are to achieve more rapid reductions in the NCD

  19. Health inequality and social capital: From state to community

    Directory of Open Access Journals (Sweden)

    Vijay Kumar Yadavendu

    2015-01-01

    Full Text Available In a world of neoliberal imperialist globalisation, there has been a profound growth of social inequalities, between and within nations. This has had a most negative impact on the health and quality of life of large sections of the populations in the developed and underdeveloped worlds. The contention of this paper is that the social production of health inequality, as shaped by neoliberalism, has to be understood in this historical context of the emergence of a new capitalist order which is primarily based on unfettered market with the motives of greed and acquitiveness. This divides societies into very rich and very poor. What a truism of coexistence of great wealth and great poverty/inequality. This offends the notion of a just and equal society. Even Richard Wilkinson’s theory of social cohesion, modelled in the Emile Durkheimian tradition of moral individualism (a system in which the individual willingly performs in accordance with laws and customs of the society, distances itself from a true population perspective. In fact, it creates a smokescreen through its claim as an alternative paradigm, and thereby pushes the task of public health further back. In the Wilkinson model, the real shift has been only that of ‘community blaming’ in place of individual ‘victim blaming’. The attainment of better health status becomes the responsibility of the community as a whole through such measures as better social cohesion and solidarity, and better health is the responsibility of the individual through measures such as behaviour modification, self-help and self-control. In both the cases, the Wilkinson model implicitly suggests that the state has no role to play and there is no space for macro structural change.

  20. Socioeconomic inequality in self-reported oral health status: the experience of Thailand after implementation of the universal coverage policy.

    Science.gov (United States)

    Somkotra, Tewarit

    2011-06-01

    This study aimed to quantify the extent to which socioeconomic-related inequality in self-reported oral health status among Thais is present after the country implemented the Universal Coverage policy and to decompose the determinants and their associations with inequality in self-reported oral health status in particular with the worse condition. The study employed a concentration index to measure socioeconomic-related inequality in self-reported oral health status, and the decomposition method to identify the determinants and their associations with inequality in oral health-related measures. Data from 32,748 Thai adults aged 15-75 years from the nationally representative Health &Welfare Survey and Socio-Economic Survey 2006 were used in analyses. Reports of worse oral health status of the lower socioeconomic-status group were more common than their higher socioeconomic-status counterparts. The concentration index (equaling -0.208) corroborates the finding of pro-poor inequality in self-reported worse oral health. Decomposition analysis demonstrated certain demographic-, socioeconomic-, and geographic characteristics are particularly associated with poor-rich differences in self-reported oral health status among Thai adults. This study demonstrated socioeconomic-related inequality in oral health is discernable along the entire spectrum of socioeconomic status. Inequality in perceived oral health status among Thais is present even while the country has virtually achieved universality of health coverage. The study also indicates population subgroups, particularly the poor, should receive consideration for improving oral health status as revealed by underlying determinants.

  1. Social determinants of health inequalities: towards a theoretical perspective using systems science.

    Science.gov (United States)

    Jayasinghe, Saroj

    2015-08-25

    A systems approach offers a novel conceptualization to natural and social systems. In recent years, this has led to perceiving population health outcomes as an emergent property of a dynamic and open, complex adaptive system. The current paper explores these themes further and applies the principles of systems approach and complexity science (i.e. systems science) to conceptualize social determinants of health inequalities. The conceptualization can be done in two steps: viewing health inequalities from a systems approach and extending it to include complexity science. Systems approach views health inequalities as patterns within the larger rubric of other facets of the human condition, such as educational outcomes and economic development. This anlysis requires more sophisticated models such as systems dynamic models. An extension of the approach is to view systems as complex adaptive systems, i.e. systems that are 'open' and adapt to the environment. They consist of dynamic adapting subsystems that exhibit non-linear interactions, while being 'open' to a similarly dynamic environment of interconnected systems. They exhibit emergent properties that cannot be estimated with precision by using the known interactions among its components (such as economic development, political freedom, health system, culture etc.). Different combinations of the same bundle of factors or determinants give rise to similar patterns or outcomes (i.e. property of convergence), and minor variations in the initial condition could give rise to widely divergent outcomes. Novel approaches using computer simulation models (e.g. agent-based models) would shed light on possible mechanisms as to how factors or determinants interact and lead to emergent patterns of health inequalities of populations.

  2. Socioeconomic inequalities in the use of outpatient services in Brazil according to health care need: evidence from the World Health Survey

    Directory of Open Access Journals (Sweden)

    Souza-Júnior Paulo RB

    2010-07-01

    Full Text Available Abstract Background The Brazilian health system is founded on the principle of equity, meaning provision of equal care for equal needs. However, little is known about the impact of health policies in narrowing socioeconomic health inequalities. Using data from the Brazilian World Health Survey, this paper addresses socioeconomic inequalities in the use of outpatient services according to intensity of need. Methods A three-stage cluster sampling was used to select 5000 adults (18 years and over. The non-response rate was 24.7% and calibration of the natural expansion factors was necessary to obtain the demographic structure of the Brazilian population. Utilization was established by use of outpatient services in the 12 months prior to the interview. Socioeconomic inequalities were analyzed by logistic regression models using years of schooling and private health insurance as independent variables, and controlling by age and sex. Effects of the socioeconomic variables on health services utilization were further analyzed according to self-rated health (good, fair and poor, considered as an indicator of intensity of health care need. Results Among the 5000 respondents, 63.4% used an outpatient service in the year preceding the survey. The association of health services utilization and self-rated health was significant (p Conclusions The analysis showed that the social gradient in outpatient services utilization decreases as the need is more intense. Among individuals with good self-rated health, possible explanations for the inequality are the lower use of preventive services and unequal supply of health services among the socially disadvantaged groups, or excessive use of health services by the wealthy. On the other hand, our results indicate an adequate performance of the Brazilian health system in narrowing socioeconomic inequalities in health in the most serious situations of need.

  3. Race, gender, class, and sexual orientation: intersecting axes of inequality and self-rated health in Canada

    Directory of Open Access Journals (Sweden)

    Veenstra Gerry

    2011-01-01

    Full Text Available Abstract Background Intersectionality theory, a way of understanding social inequalities by race, gender, class, and sexuality that emphasizes their mutually constitutive natures, possesses potential to uncover and explicate previously unknown health inequalities. In this paper, the intersectionality principles of "directionality," "simultaneity," "multiplicativity," and "multiple jeopardy" are applied to inequalities in self-rated health by race, gender, class, and sexual orientation in a Canadian sample. Methods The Canadian Community Health Survey 2.1 (N = 90,310 provided nationally representative data that enabled binary logistic regression modeling on fair/poor self-rated health in two analytical stages. The additive stage involved regressing self-rated health on race, gender, class, and sexual orientation singly and then as a set. The intersectional stage involved consideration of two-way and three-way interaction terms between the inequality variables added to the full additive model created in the previous stage. Results From an additive perspective, poor self-rated health outcomes were reported by respondents claiming Aboriginal, Asian, or South Asian affiliations, lower class respondents, and bisexual respondents. However, each axis of inequality interacted significantly with at least one other: multiple jeopardy pertained to poor homosexuals and to South Asian women who were at unexpectedly high risks of fair/poor self-rated health and mitigating effects were experienced by poor women and by poor Asian Canadians who were less likely than expected to report fair/poor health. Conclusions Although a variety of intersections between race, gender, class, and sexual orientation were associated with especially high risks of fair/poor self-rated health, they were not all consistent with the predictions of intersectionality theory. I conclude that an intersectionality theory well suited for explicating health inequalities in Canada should be

  4. Race, gender, class, and sexual orientation: intersecting axes of inequality and self-rated health in Canada

    Science.gov (United States)

    2011-01-01

    Background Intersectionality theory, a way of understanding social inequalities by race, gender, class, and sexuality that emphasizes their mutually constitutive natures, possesses potential to uncover and explicate previously unknown health inequalities. In this paper, the intersectionality principles of "directionality," "simultaneity," "multiplicativity," and "multiple jeopardy" are applied to inequalities in self-rated health by race, gender, class, and sexual orientation in a Canadian sample. Methods The Canadian Community Health Survey 2.1 (N = 90,310) provided nationally representative data that enabled binary logistic regression modeling on fair/poor self-rated health in two analytical stages. The additive stage involved regressing self-rated health on race, gender, class, and sexual orientation singly and then as a set. The intersectional stage involved consideration of two-way and three-way interaction terms between the inequality variables added to the full additive model created in the previous stage. Results From an additive perspective, poor self-rated health outcomes were reported by respondents claiming Aboriginal, Asian, or South Asian affiliations, lower class respondents, and bisexual respondents. However, each axis of inequality interacted significantly with at least one other: multiple jeopardy pertained to poor homosexuals and to South Asian women who were at unexpectedly high risks of fair/poor self-rated health and mitigating effects were experienced by poor women and by poor Asian Canadians who were less likely than expected to report fair/poor health. Conclusions Although a variety of intersections between race, gender, class, and sexual orientation were associated with especially high risks of fair/poor self-rated health, they were not all consistent with the predictions of intersectionality theory. I conclude that an intersectionality theory well suited for explicating health inequalities in Canada should be capable of accommodating axis

  5. Health sector reform in Brazil: a case study of inequity.

    Science.gov (United States)

    Almeida, C; Travassos, C; Porto, S; Labra, M E

    2000-01-01

    Health sector reform in Brazil built the Unified Health System according to a dense body of administrative instruments for organizing decentralized service networks and institutionalizing a complex decision-making arena. This article focuses on the equity in health care services. Equity is defined as a principle governing distributive functions designed to reduce or offset socially unjust inequalities, and it is applied to evaluate the distribution of financial resources and the use of health services. Even though in the Constitution the term "equity" refers to equal opportunity of access for equal needs, the implemented policies have not guaranteed these rights. Underfunding, fiscal stress, and lack of priorities for the sector have contributed to a progressive deterioration of health care services, with continuing regressive tax collection and unequal distribution of financial resources among regions. The data suggest that despite regulatory measures to increase efficiency and reduce inequalities, delivery of health care services remains extremely unequal across the country. People in lower income groups experience more difficulties in getting access to health services. Utilization rates vary greatly by type of service among income groups, positions in the labor market, and levels of education.

  6. Maternal health care utilization in Viet Nam: increasing ethnic inequity.

    Science.gov (United States)

    Målqvist, Mats; Lincetto, Ornella; Du, Nguyen Huy; Burgess, Craig; Hoa, Dinh Thi Phuong

    2013-04-01

    To investigate changes that took place between 2006 and 2010 in the inequity gap for antenatal care attendance and delivery at health facilities among women in Viet Nam. Demographic, socioeconomic and obstetric data for women aged 15-49 years were extracted from Viet Nam's Multiple Indicator Cluster Survey for 2006 (MICS3) and 2010-2011 (MICS4). Multivariate logistic regression was performed to determine if antenatal care attendance and place of delivery were significantly associated with maternal education, maternal ethnicity (Kinh/Hoa versus other), household wealth and place of residence (urban versus rural). These independent variables correspond to the analytical framework of the Commission on Social Determinants of Health. Large discrepancies between urban and rural populations were found in both MICS3 and MICS4. Although antenatal care attendance and health facility delivery rates improved substantially between surveys (from 86.3 to 92.1% and from 76.2 to 89.7%, respectively), inequities increased, especially along ethnic lines. The risk of not giving birth in a health facility increased significantly among ethnic minority women living in rural areas. In 2006 this risk was nearly five times higher than among women of Kinh/Hoa (majority) ethnicity (odds ratio, OR: 4.67; 95% confidence interval, CI: 2.94-7.43); in 2010-2011 it had become nearly 20 times higher (OR: 18.8; 95% CI: 8.96-39.2). Inequity in maternal health care utilization has increased progressively in Viet Nam, primarily along ethnic lines, and vulnerable groups in the country are at risk of being left behind. Health-care decision-makers should target these groups through affirmative action and culturally sensitive interventions.

  7. Public health, healthcare, health and inequality in health in the Nordic countries

    DEFF Research Database (Denmark)

    Christiansen, Terkel; Lauridsen, Jørgen Trankjær; Kifmann, Mathias

    2018-01-01

    -economic equality in health. Each of the five countries has established extensive public health programmes, although with somewhat different measures to increase health of the populations. We compare these countries to the UK and Germany by using data from the European Social Survey for 2002 and 2012 in addition......All five Nordic countries emphasize equal and easy access to healthcare, assuming that increased access to healthcare leads to increased health. It is the purpose of the present study to explore to which extent the populations of these countries have reached good health and a high degree of socio...... to OECD statistics for the same years. Health is measured by self-assessed health in five categories, which is transformed to a cardinal scale using Swedish time trade-off (TTO) weights. As socio-economic measures we use household income and length of education. Socio-economic inequality in health...

  8. Pathways of Economic Inequalities in Maternal and Child Health in Urban India: A Decomposition Analysis

    OpenAIRE

    Goli, Srinivas; Doshi, Riddhi; Perianayagam, Arokiasamy

    2013-01-01

    BACKGROUND/OBJECTIVE: Children and women comprise vulnerable populations in terms of health and are gravely affected by the impact of economic inequalities through multi-dimensional channels. Urban areas are believed to have better socioeconomic and maternal and child health indicators than rural areas. This perception leads to the implementation of health policies ignorant of intra-urban health inequalities. Therefore, the objective of this study is to explain the pathways of economic inequa...

  9. Peripherality, income inequality, and life expectancy: revisiting the income inequality hypothesis.

    Science.gov (United States)

    Moore, Spencer

    2006-06-01

    Recent criticisms of the income inequality and health hypothesis have stressed the lack of consistent significant evidence for the stronger effects of income inequality among rich countries. Despite such criticisms, little attention has been devoted to the income-based criteria underlying the stratification of countries into rich/poor groups and whether trade patterns and world-system role provide an alternative means of stratifying groups. To compare income-based and trade-based criteria, 107 countries were grouped into four typologies: (I) high/low income, (II) OECD membership/non-membership, (III) core/non-core, and (IV) non-periphery/periphery. Each typology was tested separately for significant differences in the effects of income inequality between groups. Separate group comparison tests and regression analyses were conducted for each typology using Rodgers (1979) specification of income, income inequality, and life expectancy. Interaction terms were introduced into Rodgers specification to test whether group classification moderated the effects of income inequality on health. Results show that the effects of income inequality are stronger in the periphery than non-periphery (IV) (-0.76 vs -0.23; P income inequality and population health have assumed (i) income differences between countries best capture global stratification and (ii) the negative effects of income inequality are stronger in high-income countries. However, present findings emphasize (i) the importance of measuring global stratification according to trading patterns and (ii) the strong, negative effects of income inequality on life expectancy among peripheral populations.

  10. Socioeconomic inequality in disability among adults: a multicountry study using the World Health Survey.

    Science.gov (United States)

    Hosseinpoor, Ahmad R; Stewart Williams, Jennifer A; Gautam, Jeny; Posarac, Aleksandra; Officer, Alana; Verdes, Emese; Kostanjsek, Nenad; Chatterji, Somnath

    2013-07-01

    We compared national prevalence and wealth-related inequality in disability across a large number of countries from all income groups. Data on 218,737 respondents participating in the World Health Survey 2002-2004 were analyzed. A composite disability score (0-100) identified respondents who experienced significant disability in physical, mental, and social functioning irrespective of their underlying health condition. Disabled persons had disability composite scores above 40. Wealth was evaluated using an index of economic status in households based on ownership of selected assets. Socioeconomic inequalities were measured using the slope index of inequality and the relative index of inequality. Median age-standardized disability prevalence was higher in the low- and lower middle-income countries. In all the study countries, disability was more prevalent in the poorest than in the richest wealth quintiles. Pro-rich inequality was statistically significant in 43 of 49 countries, with disability prevalence higher among populations with lower wealth. Median relative inequality was higher in the high- and upper middle-income countries. Integrating equity components into the monitoring of disability trends would help ensure that interventions reach and benefit populations with greatest need.

  11. The ethics of everyday practice in primary medical care: responding to social health inequities

    Directory of Open Access Journals (Sweden)

    Palmer Victoria J

    2010-05-01

    Full Text Available Abstract Background Social and structural inequities shape health and illness; they are an everyday presence within the doctor-patient encounter yet, there is limited ethical guidance on what individual physicians should do. This paper draws on a study that explored how doctors and their professional associations ought to respond to the issue of social health inequities. Results Some see doctors as bound by a notion of care that is blind to a patient's social position, while others respond to this issue through invoking notions of justice and human rights where access to care is a prime focus. Both care and justice orientations however conceal important tensions linked to the presence of bioethical principles underpinning these. Other normative ethical theories like deontology, virtue ethics and utilitarianism do not provide adequate guidance on the problem of social health inequities either. Conclusion This paper explores if Bauman's notion of "forms of togetherness" provides the basis of a relational ethical theory that can help to develop a response to social health inequities of relevance to individual physicians. This theory goes beyond silence on the influence of social position of health and avoids amoral regulatory approaches to monitoring equity of care provision.

  12. Age-related inequalities in health and healthcare: the life stages approach.

    Science.gov (United States)

    Jecker, Nancy S

    2017-05-16

    How should healthcare systems prepare to care for growing numbers and proportions of older people? Older people generally suffer worse health than younger people do. Should societies take steps to reduce age-related health inequalities? Some express concern that doing so would increase age-related inequalities in healthcare. This paper addresses this debate by (1) presenting an argument in support of three principles for distributing scarce resources between age groups; (2) framing these principles of age group justice in terms of life stages; and (3) indicating policy implications that merit further attention in light of rapidly aging societies. © 2017 John Wiley & Sons Ltd.

  13. Rising inequalities in income and health in China: who is left behind?

    Science.gov (United States)

    Baeten, Steef; Van Ourti, Tom; van Doorslaer, Eddy

    2013-12-01

    In recent decades, China has experienced double-digit economic growth rates and rising inequality. This paper implements a new decomposition approach using the China Health and Nutrition Survey (1991-2006) to examine the extent to which changes in level and distribution of incomes and in income mobility are related to health disparities between rich and poor. We find that health disparities in China relate to rising income inequality and in particular to the adverse health and income experience of older (wo)men, but not to the growth rate of average incomes over the last decades. These findings suggest that replacement incomes and pensions at older ages may be one of the most important policy levers for reducing health disparities between rich and poor Chinese. Copyright © 2013 Elsevier B.V. All rights reserved.

  14. Structural racism and health inequities in the USA: evidence and interventions.

    Science.gov (United States)

    Bailey, Zinzi D; Krieger, Nancy; Agénor, Madina; Graves, Jasmine; Linos, Natalia; Bassett, Mary T

    2017-04-08

    Despite growing interest in understanding how social factors drive poor health outcomes, many academics, policy makers, scientists, elected officials, journalists, and others responsible for defining and responding to the public discourse remain reluctant to identify racism as a root cause of racial health inequities. In this conceptual report, the third in a Series on equity and equality in health in the USA, we use a contemporary and historical perspective to discuss research and interventions that grapple with the implications of what is known as structural racism on population health and health inequities. Structural racism refers to the totality of ways in which societies foster racial discrimination through mutually reinforcing systems of housing, education, employment, earnings, benefits, credit, media, health care, and criminal justice. These patterns and practices in turn reinforce discriminatory beliefs, values, and distribution of resources. We argue that a focus on structural racism offers a concrete, feasible, and promising approach towards advancing health equity and improving population health. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Reducing Health Inequities in the United States: Insights and Recommendations from the National Heart, Lung, and Blood Institute’s Health Inequities Think Tank Meeting

    Science.gov (United States)

    Sampson, Uchechukwu K.A.; Kaplan, Robert M.; Cooper, Richard S.; Diez Roux, Ana V.; Marks, James S.; Engelgau, Michael M.; Peprah, Emmanuel; Mishoe, Helena; Boulware, L. Ebony; Felix, Kaytura L.; Califf, Robert M.; Flack, John M.; Cooper, Lisa A.; Gracia, J. Nadine; Henderson, Jeffrey A.; Davidson, Karina W.; Krishnan, Jerry A.; Lewis, Tené T.; Sanchez, Eduardo; Luban, Naomi L.; Vaccarino, Viola; Wong, Winston F.; Wright, Jackson T.; Meyers, David; Ogedegbe, Olugbenga G.; Presley-Cantrell, Letitia; Chambers, David A.; Belis, Deshirée; Bennett, Glen C.; Boyington, Josephine E; Creazzo, Tony L.; de Jesus, Janet M.; Krishnamurti, Chitra; Lowden, Mia R.; Punturieri, Antonello; Shero, Susan T.; Young, Neal S.; Zou, Shimian; Mensah, George A.

    2016-01-01

    The National, Heart, Lung, and Blood Institute convened a Think Tank meeting to obtain insight and recommendations regarding the objectives and design of the next generation of research aimed at reducing health inequities in the United States. The panel recommended several specific actions, including: 1) Embrace broad and inclusive research themes; 2) Develop research platforms that optimize the ability to conduct informative and innovative research, and promote systems science approaches; 3) Develop networks of collaborators and stakeholders, and launch transformative studies that can serve as benchmarks; 4) Optimize the use of new data sources, platforms, and natural experiments; and 5) develop unique transdisciplinary training programs to build research capacity. Confronting health inequities will require engaging multiple disciplines and sectors (including communities), using systems science, and intervening through combinations of individual, family, provider, health system, and community-targeted approaches. Details of the panel’s remarks and recommendations are provided in this report. PMID:27470459

  16. Inequities in utilization of reproductive and maternal health services in Ethiopia.

    Science.gov (United States)

    Bobo, Firew Tekle; Yesuf, Elias Ali; Woldie, Mirkuzie

    2017-06-19

    Disparities in health services utilization within and between regional states of countries with diverse socio-cultural and economic conditions such as Ethiopia is a frequent encounter. Understanding and taking measures to address unnecessary and avoidable differences in the use of reproductive and maternal health services is a key concern in Ethiopia. The aim of the study was to examine degree of equity in reproductive and maternal health services utilization in Ethiopia. Data from Ethiopia demographic health survey 2014 was analyzed. We assessed inequities in utilization of modern contraceptive methods, antenatal care, facility based delivery and postnatal checkup. Four standard equity measurement methods were used; equity gaps, rate-ratios, concertation curve and concentration index. Inequities in service utilization were exhibited favoring women in developed regions, urban residents, most educated and the wealthy. Antenatal care by skilled provider was three times higher among women with post-secondary education than mothers with no education. Women in the highest wealth quantile had about 12 times higher skilled birth attendance than those in lowest wealth quantile. The rate of postnatal care use among urban resident was about 6 times that of women in rural area. Use of modern contraceptive methods was more equitably utilized service while, birth at health facility was less equitable across all economic levels, favoring the wealthy. Considerable inequity between and within regions of Ethiopia in the use of maternal health services was demonstrated. Strategically targeting social determinants of health with special emphasis to women education and economic empowerment will substantially contribute for altering the current situation favorably.

  17. Sensitivity analysis of bridge health index to element failure and element conditions.

    Science.gov (United States)

    2009-11-01

    Bridge Health Index (BHI) is a bridge performance measure based on the condition of the bridge elements. It : is computed as the ratio of remaining value of the bridge structure to the initial value of the structure. Since it : is expressed as a perc...

  18. The impact of primary healthcare in reducing inequalities in child health outcomes, Bogotá-Colombia: an ecological analysis.

    Science.gov (United States)

    Mosquera, Paola A; Hernández, Jinneth; Vega, Román; Martínez, Jorge; Labonte, Ronald; Sanders, David; San Sebastián, Miguel

    2012-11-13

    Colombia is one of the countries with the widest levels of socioeconomic and health inequalities. Bogotá, its capital, faces serious problems of poverty, social disparities and access to health services. A Primary Health Care (PHC) strategy was implemented in 2004 to improve health care and to address the social determinants of such inequalities. This study aimed to evaluate the contribution of the PHC strategy to reducing inequalities in child health outcomes in Bogotá. An ecological analysis with localities as the unit of analysis was carried out. The variable used to capture the socioeconomic status and living standards was the Quality of Life Index (QLI). Concentration curves and concentration indices for four child health outcomes (infant mortality rate (IMR), under-5 mortality rate, prevalence of acute malnutrition in children under-5, and vaccination coverage for diphtheria, pertussis and tetanus) were calculated to measure socioeconomic inequality. Two periods were used to describe possible changes in the magnitude of the inequalities related with the PHC implementation (2003 year before - 2007 year after implementation). The contribution of the PHC intervention was computed by a decomposition analysis carried out on data from 2007. In both 2003 and 2007, concentration curves and indexes of IMR, under-5 mortality rate and acute malnutrition showed inequalities to the disadvantage of localities with lower QLI. Diphtheria, pertussis and tetanus (DPT) vaccinations were more prevalent among localities with higher QLI in 2003 but were higher in localities with lower QLI in 2007. The variation of the concentration index between 2003 and 2007 indicated reductions in inequality for all of the indicators in the period after the PHC implementation. In 2007, PHC was associated with a reduction in the effect of the inequality that affected disadvantaged localities in under-5 mortality (24%), IMR (19%) and acute malnutrition (7%). PHC also contributed approximately 20

  19. Changes between pre-crisis and crisis period in socioeconomic inequalities in health and stimulant use in Netherlands.

    Science.gov (United States)

    Bruggink, Jan-Willem; de Goeij, Moniek C M; Otten, Ferdy; Kunst, Anton E

    2016-10-01

    International research suggests an impact of economic crises on population health, with different effects among different socioeconomic groups. Since the end of 2008 the Netherlands experienced a period of economic crisis. Our study explores how inequalities in perceived general and mental health, and alcohol and tobacco use changed after the recession started. We used data from the Dutch Health Interview Surveys: 2006-2008 (pre-crisis period) and 2009-2013 (crisis period). Respondents aged 25-64 were divided into socioeconomic groups based on labour status, income level and income change. Inequalities in health and stimulant use among these socioeconomic groups were described by period and changes between the pre-crisis and crisis period were investigated using logistic regression models. Most inequalities did not change, with some exceptions. For perceived general health, inequalities between employed persons and persons not in the labour force were larger in the crisis period (unfavourable trends for those not in the labour force). For smoking, inequalities between unemployed and employed persons were larger in the crisis period (decreasing smoking rates only for those employed), as did inequalities between persons with low and high income levels (decreasing smoking rates for those with higher income levels). Excessive drinking decreased among employed persons and persons with a decrease in income, while it remained stable among persons not in the labour force and among persons with an increase in income. The widening of some socioeconomic inequalities in health and stimulant use might suggest an enhanced vulnerability of lower socioeconomic groups to the post-2008 crisis. © The Author 2016. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  20. Experimental Research on Quick Structural Health Monitoring Technique for Bridges Using Smartphone

    Directory of Open Access Journals (Sweden)

    Xuefeng Zhao

    2016-01-01

    Full Text Available In the recent years, with the development and popularization of smartphone, the utilization of smartphone in the Structural Health Monitoring (SHM has attracted increasing attention owing to its unique feature. Since bridges are of great importance to society and economy, bridge health monitoring has very practical significance during its service life. Furthermore, rapid damage assessment of bridge after an extreme event such as earthquake is very important in the recovery work. Smartphone-based bridge health monitoring and postevent damage evaluation have advantages over the conventional monitoring techniques, such as low cost, ease of installation, and convenience. Therefore, this study investigates the implementation feasibility of the quick bridge health monitoring technique using smartphone. A novel vision-based cable force measurement method using smartphone camera is proposed, and, then, its feasibility and practicality is initially validated through cable model test. An experiment regarding multiple parameters monitoring of one bridge scale model is carried out. Parameters, such as acceleration, displacement, and angle, are monitored using smartphone. The experiment results show that there is a good agreement between the reference sensor and smartphone measurements in both time and frequency domains.

  1. Addressing Global Health, Development, and Social Inequalities through Research and Policy Analyses: the International Journal of MCH and AIDS

    Directory of Open Access Journals (Sweden)

    Romuladus E. Azuine, DrPH, RN

    2012-11-01

    Full Text Available One year after the birth of the International Journal of MCH and AIDS (IJMA, we continue to share the passion to document, and shine the light on the myriads of global health issues that debilitate developing countries.Although the focus of IJMA is on the social determinants of health and disease as well as on the disparities in the burden of communicable and non-communicable diseases affecting infants, children, women, adults, and families in developing countries, we would like to encourage our fellow researchers and policy makers in both the developing and developed countries to consider submitting work that examines cross-national variations in heath and social inequalities.Such a global focus allows us to identify and understand social, structural, developmental, and health policy determinants underlying health inequalities between nations.Global assessment of health and socioeconomic patterns reaffirms the role of broader societal-level factors such as human development, gender inequality, gross national product, income inequality, and healthcare infrastructure as the fundamental determinants of health inequalities between nations.This is also confirmed by our analysis of the WHO data that shows a strong negative association between levels of human development and infant and maternal mortality rates.Focusing on socioeconomic, demographic, and geographical inequalities within a developing country, on the other hand, should give us a sense of how big the problem of health inequity is within its own borders.Such an assessment, then, could lead to development of policy solutions to tackle health inequalities that are unique to that country.

  2. Social inequalities in self-rated health: A comparative cross-national study among 32,560 Nordic adolescents.

    Science.gov (United States)

    Torsheim, Torbjørn; Nygren, Jens M; Rasmussen, Mette; Arnarsson, Arsæll M; Bendtsen, Pernille; Schnohr, Christina W; Nielsen, Line; Nyholm, Maria

    2018-02-01

    We aimed to estimate the magnitude of socioeconomic inequality in self-rated health among Nordic adolescents (aged 11, 13 and 15 years) using the Family Affluence Scale (a composite measure of material assets) and perceived family wealth as indicators of socioeconomic status. Data were collected from the Health Behaviour in School-aged Children (HBSC) survey in 2013-2014. A sample of 32,560 adolescents from Denmark, Norway, Finland, Iceland, Greenland and Sweden was included in the study. Age-adjusted regression analyses were used to estimate associations between fair or poor self-rated health and the ridit scores for family affluence and perceived wealth. The pooled relative index of inequality of 2.10 indicates that the risk of fair or poor health was about twice as high for young people with the lowest family affluence relative to those with the highest family affluence. The relative index of inequality for observed family affluence was highest in Denmark and lowest in Norway. For perceived family wealth, the pooled relative index of inequality of 3.99 indicates that the risk of fair or poor health was about four times as high for young people with the lowest perceived family wealth relative to those with the highest perceived family wealth. The relative index of inequality for perceived family wealth was highest in Iceland and lowest in Greenland. Social inequality in self-rated health among adolescents was found to be robust across subjective and objective indicators of family affluence in the Nordic welfare states.

  3. A consideration of user financial incentives to address health inequalities.

    Science.gov (United States)

    Oliver, Adam; Brown, Lawrence D

    2012-04-01

    Health inequalities and user financial incentives to encourage health-related behavior change are two topical issues in the health policy discourse, and this article attempts to combine the two; namely, we try to address whether the latter can be used to reduce the former in the contexts of the United Kingdom and the United States. Payments for some aspects of medical adherence may offer a promising way to address, to some extent, inequalities in health and health care in both countries. However, payments for more sustained behavior change, such as that associated with smoking cessation and weight loss, have thus far shown little long-term effect, although more research that tests the effectiveness of different incentive mechanism designs, informed by the findings of behavioral economics, ought to be undertaken. Many practical, political, ethical, and ideological objections can be waged against user financial incentives in health, and this article reviews a number of them, but the justifiability of and limits to these incentives require more academic and public discourse so as to gain a better understanding of the circumstances in which they can legitimately be used.

  4. Inequalities in the spiritual health of young Canadians: a national, cross-sectional study.

    Science.gov (United States)

    Michaelson, Valerie; Freeman, John; King, Nathan; Ascough, Hannah; Davison, Colleen; Trothen, Tracy; Phillips, Sian; Pickett, William

    2016-11-28

    Spiritual health, along with physical, emotional, and social aspects, is one of four domains of health. Assessment in this field of research is challenging methodologically. No contemporary population-based studies have profiled the spiritual health of adolescent Canadians with a focus on health inequalities. In a 2014 nationally representative sample of Canadians aged 11-15 years we therefore: (1) psychometrically evaluated a series of items used to assess the perceived importance of spiritual health and its four potential sub-domains (connections with: self, others, nature and the natural environment, and the transcendent) to adolescents; (2) described potential inequalities in spiritual health within adolescent populations, overall and by spiritual health sub-domain, by key socio-demographic factors. Cross-sectional analysis of survey reports from the 2014 (Cycle 7) of the Canadian Health Behaviour in School-aged Children study (weighted n = 25,036). Principal components analysis followed by confirmatory factor analysis were used to explore the psychometric properties of the spiritual health items and the associated composite scale describing perceived importance of spiritual health. Associations among this composite scale, its individual sub-domains, and key socio-demographic factors were then explored. The principal components analysis best supported a four-factor structure where the eight scale items loaded highly according to the original four domains. This was also supported in confirmatory factor analyses. We then combined the eight items into composite spiritual health score as supported by theory, principal components analysis findings, and acceptable tests of reliability. Further confirmatory factor analysis suggested the need for additional refinements to this scale. Based upon exploratory cross-sectional analyses, strong socio-demographic inequalities were observed in the spiritual health measures by age, gender, relative material wealth

  5. Socioeconomic status, health inequalities and non-communicable diseases: a systematic review.

    Science.gov (United States)

    Lago, Santiago; Cantarero, David; Rivera, Berta; Pascual, Marta; Blázquez-Fernández, Carla; Casal, Bruno; Reyes, Francisco

    2018-01-01

    A comprehensive approach to health highlights its close relationship with the social and economic conditions, physical environment and individual lifestyles. However, this relationship is not exempt from methodological problems that may bias the establishment of direct effects between the variables studied. Thus, further research is necessary to investigate the role of socioeconomic variables, their composition and distribution according to health status, particularly on non-communicable diseases. To shed light on this field, here a systematic review is performed using PubMed, the Cochrane Library and Web of Science. A 7-year retrospective horizon was considered until 21 July 2017. Twenty-six papers were obtained from the database search. Additionally, results from "hand searching" were also included, where a wider horizon was considered. Five of the 26 studies analyzed used aggregated data compared to 21 using individual data. Eleven considered income as a study variable, while 17 analyzed the effect of income inequality on health status (2 of the studies considered both the absolute level and distribution of income). The most used indicator of inequality in the literature was the Gini index. Although different types of analysis produce very different results concerning the role of health determinants, the general conclusion is that income distribution is related to health where it represents a measure of the differences in social class in the society. The effect of income inequality is to increase the gap between social classes or to widen differences in status.

  6. Socio-economic inequality in multiple health complaints among adolescents: international comparative study in 37 countries

    DEFF Research Database (Denmark)

    Holstein, Bjørn E; Currie, Candace; Boyce, Will

    2009-01-01

    OBJECTIVES: To use comparable data from many countries to examine 1) socio-economic inequality in multiple health complaints among adolescents, 2) whether the countries' absolute wealth and economic inequality was associated with symptom load among adolescents, and 3) whether the countries......' absolute wealth and economic inequality explained part of the individual level socio-economic variation in health complaints. METHODS: The Health Behaviour in School-aged Children (HBSC) international study from 2005/06 provided data on 204,534 11-, 13- and 15-year old students from nationally random...... Affluence Scale FAS) and two macro level measures on the country's economic situation: wealth measured by Gross National Product (GNP) and distribution of income measured by the Gini coefficient. RESULTS: There was a significant socio-economic variation in health complaints in 31 of the 37 countries...

  7. Trends and inequities in use of maternal health care services in Bangladesh, 1991-2011.

    Directory of Open Access Journals (Sweden)

    Iqbal Anwar

    Full Text Available Monitoring use-inequity is important to measure progress in efforts to address health-inequities. Using data from six Bangladesh Demographic and Health Surveys (BDHS, we examine trends, inequities and socio-demographic determinants of use of maternal health care services in Bangladesh between 1991 and 2011.Access to maternal health care services has improved in the last two decades. The adjusted yearly trend was 9.0% (8.6%-9.5% for any antenatal care (ANC, 11.9% (11.1%-12.7% for institutional delivery, and 18.9% (17.3%-20.5% for C-section delivery which is above the WHO recommended rate of 5-15%. Use-inequity was significant for all three indicators but is reducing over time. Between 1991-1994 and 2007-2011 the rich:poor ratio reduced from 3.65 to 1.65 for ANC and from 15.80 to 6.77 for institutional delivery. Between 1995-1998 and 2007-2011, the concentration index reduced from 0.27 (0.25-0.29 to 0.15 (0.14-0.16 for ANC, and from 0.65 (0.60-0.71 to 0.39 (0.37-0.41 for institutional delivery during that period. For use of c-section, the rich:poor ratio reduced from 18.17 to 13.39 and the concentration index from 0.66 (0.57-0.75 to 0.47 (0.45-0.49. In terms of rich:poor differences, there was equity-gain for ANC but not for facility delivery or C-section delivery. All socio-demographic variables were significant predictors of use; of them, maternal education was the most powerful. In addition, the contribution of for-profit private sector is increasingly growing in maternal health.Both access and equity are improving in maternal health. We recommend strengthening ongoing health and non-health interventions for the poor. Use-inequity should be monitored using multiple indicators which are incorporated into routine health information systems. Rising C-section rate is alarming and indication of C-sections should be monitored both in private and public sector facilities.

  8. Health inequalities research in India: a review of trends and themes in the literature since the 1990s.

    Science.gov (United States)

    Bhan, Nandita; Rao, Krishna Dipankar; Kachwaha, Shivani

    2016-10-06

    Research on health inequalities can be instrumental in drawing attention to the health of socioeconomically vulnerable groups in India in the context of rapid economic growth. It can shape the dialogue for public health action, emphasizing the need for greater investments in health, and monitor effectiveness of health programs. Our objective was to examine trends in studies on health inequalities in the last 25 years. We conducted a systematic literature review of studies on health inequalities published from 1990. The year, 1990, marked the beginning of economic reforms and liberalization in India. We searched PubMED using key terms to identify 8800 articles between 1990 and 2016; we identified 1,312 final studies for review. Key domains of analysis included measures of equity, health outcomes, populations studied, year of publication, study methodology, study focus (descriptive versus analytical), and location of main author. We found an increase in studies on health inequalities after 2005. About 88 % of the studies utilized quantitative methods for analysis. About 8 % of the studies related to health interventions or programs; the number of intervention studies have been increasing since 2010. A majority of studies were led by authors based in India. Early studies focused on mortality, communicable and non-communicable diseases, and nutrition, while later studies have focused on non-communicable diseases, mental health, risk factors, and injuries. Studies on women and children comprised nearly half of the literature; studies on the youth (15-24 years or as defined by the study) and elderly have been rising. Wealth and income were the most common measures of equity, followed by education and gender. The proportion of studies on wealth, education, region and caste have stayed consistent over time, while studies on gender disparities have been rising. In a country as diverse as India with large social inequalities combined with rapid economic growth, research

  9. Social determinants of health in India: progress and inequities across states

    OpenAIRE

    Cowling, Krycia; Dandona, Rakhi; Dandona, Lalit

    2014-01-01

    Introduction Despite the recognized importance of social determinants of health (SDH) in India, no compilation of the status of and inequities in SDH across India has been published. To address this gap, we assessed the levels and trends in major SDH in India from 1990 onwards and explored inequities by state, gender, caste, and urbanicity. Methods Household- and individual-level SDH indicators were extracted from national household surveys conducted between 1990 and 2011 and means were compu...

  10. Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice

    Science.gov (United States)

    Erreygers, Guido; Van Ourti, Tom

    2011-01-01

    The tools to be used and other choices to be made when measuring socioeconomic inequalities with rank-dependent inequality indices have recently been debated in this journal. This paper adds to this debate by stressing the importance of the measurement scale, by providing formal proofs of several issues in the debate, and by lifting the curtain on the confusing debate between adherents of absolute versus relative health differences. We end this paper with a ‘matrix’ that provides guidelines on the usefulness of several rank-dependent inequality indices under varying circumstances. PMID:21683462

  11. [Changes between pre-crisis and crisis period in socioeconomic inequalities in health and stimulant use in Netherlands].

    Science.gov (United States)

    Buggink, J W; de Goeij, M C M; Otten, F W J; Kunst, A

    2016-01-01

    International research suggests an impact of economic crises on population health, with different effects among different socioeconomic groups. Since the end of 2008 the Netherlands experienced a period of economic crisis. Our study explores how inequalities in perceived general and mental health, and alcohol and tobacco use changed after the recession started. Cross-sectional study using routinely collected data from surveys of the Dutch population. We used data from the Dutch Health Interview Surveys: 2006-2008 (pre-crisis period) and 2009-2013 (crisis period). Respondents aged 25-64 were divided into socioeconomic groups based on labour status, income level and income change. Inequalities in health and stimulant use among these socioeconomic groups were described by period and changes between the pre-crisis and crisis period were investigated using logistic regression models. Most inequalities did not change, with some exceptions. For perceived general health, inequalities between employed persons and persons not in the labour force were larger in the crisis-period (unfavourable trends for those not in the labour force). For smoking, inequalities between unemployed and employed persons were larger in the crisis period (decreasing smoking rates only for those employed), as did inequalities between persons with low and high income levels (decreasing smoking rates for those with higher income levels). Excessive drinking decreased among employed persons and persons with a decrease in income, while it remained stable among persons not in the labour force and among persons with an increase in income. The widening of some socioeconomic inequalities in health and stimulant use might suggest an enhanced vulnerability of lower socioeconomic groups to the post-2008 crisis.

  12. Can social inclusion policies reduce health inequalities in sub-Saharan Africa?--A rapid policy appraisal.

    Science.gov (United States)

    Rispel, Laetitia C; de Sousa, César A D Palha; Molomo, Boitumelo G

    2009-08-01

    The global resurgence of interest in the social determinants of health provides an opportunity for determined action on unacceptable and unjust health inequalities that exist within and between countries. This paper reviews three categories of social inclusion policies: cash-transfers; free social services; and specific institutional arrangements for programme integration in six selected countries--Botswana, Mozambique, South Africa, Ethiopia, Nigeria, and Zimbabwe. The policies were appraised as part of the Social Exclusion Knowledge Network (SEKN) set up under the auspices of the World Health Organization's Commission on Social Determinants of Health. The paper highlights the development landscape in sub-Saharan Africa and presents available indicators of the scale of inequity in the six countries. A summary of the policies appraised is presented, including whether or what the impact of these policies has been on health inequalities. Cross-cutting benefits include poverty alleviation, notably among vulnerable children and youths, improved economic opportunities for disadvantaged households, reduction in access barriers to social services, and improved nutrition intake. The impact of these benefits, and hence the policies, on health status can only be inferred. Among the policies reviewed, weaknesses or constraints were in design and implementation. The policy design weaknesses include targeting criteria, their enforcement and latent costs, inadequate participation of the community and failure to take the cultural context into account. A major weakness of most policies was the lack of a monitoring and evaluation system, with clear indicators that incorporate system responsiveness. The policy implementation weaknesses include uneven regional implementation with rural areas worst affected; inadequate or poor administrative and implementation capacity; insufficient resources; problems of fraud and corruption; and lack of involvement of civil servants, exacerbating

  13. Socioeconomic Inequalities in Mental Health of Adult Population: Serbian National Health Survey

    Directory of Open Access Journals (Sweden)

    Milena Santric Milicevic

    2016-02-01

    Full Text Available Background: The global burden of mental disorders is rising. In Serbia, anxiety is the leading cause of disability-adjusted life years. Serbia has no mental health survey at the population level. The information on prevalence of mental disorders and related socioeconomic inequalities are valuable for mental care improvement. Aims: То explore the prevalence of mental health disorders and socioeconomic inequalities in mental health of adult Serbian population, and to explore whether age years and employment status interact with mental health in urban and rural settlements. Study Design: Cross-sectional study. Methods: This study is an additional analysis of Serbian Health Survey 2006 that was carried out with standardized household questionnaires at the representative sample of 7673 randomly selected households – 15563 adults. The response rate was 93%. A multivariate logistic regression modeling highlighted the predictors of the 5 item Mental Health Inventory (MHI-5, and of chronic anxiety or depression within eight independent variables (age, gender, type of settlement, marital status and self-perceived health, education, employment status and Wealth Index. The significance level in descriptive statistics, chi square analysis and bivariate and multivariate logistic regressions was set at p<0.05. Results: Chronic anxiety or depression was seen in 4.9% of the respondents, and poor MHI-5 in 47% of respondents. Low education (Odds Ratios 1.32; 95% confidence intervals=1.16-1.51, unemployment (1.36; 1.18-1.56, single status (1.34; 1.23-1.45, and Wealth Index middle class (1.20; 1.08-1.32 or poor (1.33; 1.21-1.47 were significantly related with poor MHI-5. Unemployed persons in urban settlements had higher odds for poormMHI-5 than unemployed in rural areas (0.73; 0.59-0.89. Single (1.50; 1.26-1.78, unemployed (1.39; 1.07-1.80 and inactive respondents (1.42; 1.10-1.83 had a higher odds of chronic anxiety or depression than married individuals, or

  14. Social capital and health: measuring and understanding social capital at a local level could help to tackle health inequalities more effectively.

    Science.gov (United States)

    Pilkington, Paul

    2002-09-01

    This paper examines whether an understanding of the concept of social capital and its local measurement can help to tackle inequalities in health within and across communities. The paper concludes that the concept of social capital offers a valuable opportunity to help public health professionals understand how to approach inequalities in health with a greater awareness of the social processes affecting the health of communities. The measurement of social capital has been problematic. However, new guidance from the Health Development Agency (HDA) provides a useful tool for developing social capital research. A greater understanding of whether, and how social capital relates to health will help to improve strategies to reduce health inequalities at the community level. Public health professionals contributing to community development strategies such as Neighbourhood Renewal Projects, Community Safety Partnerships, Health Action Zones and Health Improvement Programmes (HImPs) should encourage thought to be given about the role that an understanding of social capital could play in making these strategies more effective. Using the HDA measurement tool locally could be one way of doing this.

  15. Markers of Psychological Differences and Social and Health Inequalities: Possible Genetic and Phenotypic Overlaps.

    Science.gov (United States)

    Mõttus, René; Marioni, Riccardo; Deary, Ian J

    2017-02-01

    Associations between markers of ostensible psychological characteristics and social and health inequalities are pervasive but difficult to explain. In some cases, there may be causal influence flowing from social and health inequalities to psychological differences, whereas sometimes it may be the other way around. Here, we focus on the possibility that some markers that we often consider as indexing different domains of individual differences may in fact reflect at least partially overlapping genetic and/or phenotypic bases. For example, individual differences in cognitive abilities and educational attainment appear to reflect largely overlapping genetic influences, whereas cognitive abilities and health literacy may be almost identical phenomena at the phenotypic, never mind genetic, level. We make the case for employing molecular genetic data and quantitative genetic techniques to better understand the associations of psychological individual differences with social and health inequalities. We illustrate these arguments by using published findings from the Lothian Birth Cohort and the Generation Scotland studies. We also present novel findings pertaining to longitudinal stability and change in older age personality traits and some correlates of the change, molecular genetic data-based heritability estimates of Neuroticism and Extraversion, and the genetic correlations of these personality traits with markers of social and health inequalities. © 2015 The Authors. Journal of Personality published by Wiley Periodicals, Inc.

  16. [Social inequalities in health, missions of a regional healthcare agency].

    Science.gov (United States)

    Ginot, Luc

    The presence of social inequalities in health requires a multi-faceted intervention, focusing on the social determinants as well as the provision of care and prevention strategies. Regional health agencies have important levers at their disposal, as illustrated by the example of the Île-de-France region. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  17. The link between inequality and population health in low and middle income countries: policy myth or social reality?

    Directory of Open Access Journals (Sweden)

    Ioana van Deurzen

    Full Text Available An influential policy idea states that reducing inequality is beneficial for improving health in the low and middle income countries (LMICs. Our study provides an empirical test of this idea: we utilized data collected by the Demographic and Health Surveys between 2000 and 2011 in as much as 52 LMICs, and we examined the relationship between household wealth inequality and two health outcomes: anemia status (of the children and their mothers and the women' experience of child mortality. Based on multi-level analyses, we found that higher levels of household wealth inequality related to worse health, but this effect was strongly reduced when we took into account the level of individuals' wealth. However, even after accounting for the differences between individuals in terms of household wealth and other characteristics, in those LMICs with higher household wealth inequality more women experienced child mortality and more children were tested with anemia. This effect was partially mediated by the country's level and coverage of the health services and infrastructure. Furthermore, we found higher inequality to be related to a larger health gap between the poor and the rich in only one of the three examined samples. We conclude that an effective way to improve the health in the LMICs is to increase the wealth among the poor, which in turn also would lead to lower overall inequality and potential investments in public health infrastructure and services.

  18. The link between inequality and population health in low and middle income countries: policy myth or social reality?

    Science.gov (United States)

    van Deurzen, Ioana; van Oorschot, Wim; van Ingen, Erik

    2014-01-01

    An influential policy idea states that reducing inequality is beneficial for improving health in the low and middle income countries (LMICs). Our study provides an empirical test of this idea: we utilized data collected by the Demographic and Health Surveys between 2000 and 2011 in as much as 52 LMICs, and we examined the relationship between household wealth inequality and two health outcomes: anemia status (of the children and their mothers) and the women' experience of child mortality. Based on multi-level analyses, we found that higher levels of household wealth inequality related to worse health, but this effect was strongly reduced when we took into account the level of individuals' wealth. However, even after accounting for the differences between individuals in terms of household wealth and other characteristics, in those LMICs with higher household wealth inequality more women experienced child mortality and more children were tested with anemia. This effect was partially mediated by the country's level and coverage of the health services and infrastructure. Furthermore, we found higher inequality to be related to a larger health gap between the poor and the rich in only one of the three examined samples. We conclude that an effective way to improve the health in the LMICs is to increase the wealth among the poor, which in turn also would lead to lower overall inequality and potential investments in public health infrastructure and services.

  19. The great recession, youth unemployment and inequalities in psychological health complaints in adolescents: a multilevel study in 31 countries.

    Science.gov (United States)

    Rathmann, Katharina; Pförtner, Timo-Kolja; Hurrelmann, Klaus; Osorio, Ana M; Bosakova, Lucia; Elgar, Frank J; Richter, Matthias

    2016-09-01

    Little is known about the impact of recessions on young people's socioeconomic inequalities in health. This study investigates the impact of the economic recession in terms of youth unemployment on socioeconomic inequalities in psychological health complaints among adolescents across Europe and North America. Data from the WHO collaborative 'Health Behaviour in School-aged Children' (HBSC) study were collected in 2005/06 (N = 160,830) and 2009/10 (N = 166,590) in 31 European and North American countries. Logistic multilevel models were used to assess the contribution of youth unemployment in 2009/10 (enduring recession) and the change in youth unemployment (2005-2010) to adolescent psychological health complaints and socioeconomic inequalities in complaints in 2009/10. Youth unemployment during the recession is positively related to psychological health complaints, but not to inequalities in complaints. Changes in youth unemployment (2005-2010) were not associated with adolescents' psychological health complaints, whereas greater inequalities in complaints were found in countries with greater increases in youth unemployment. This study highlights the need to tackle the impact of increasing unemployment on adolescent health and health inequalities during economic recessions.

  20. School Composition, School Culture and Socioeconomic Inequalities in Young People's Health: Multi-Level Analysis of the Health Behaviour in School-Aged Children (HBSC) Survey in Wales

    Science.gov (United States)

    Moore, Graham F.; Littlecott, Hannah J.; Evans, Rhiannon; Murphy, Simon; Hewitt, Gillian; Fletcher, Adam

    2017-01-01

    Health inequalities emerge during childhood and youth, before widening in adulthood. Theorising, testing and interrupting the mechanisms through which inequalities are perpetuated and sustained is vital. Schools are viewed as settings through which inequality in young people's health may be addressed, but few studies examine the social processes…

  1. Do social inequalities in health widen or converge with age? Longitudinal evidence from three cohorts in the West of Scotland

    Directory of Open Access Journals (Sweden)

    Benzeval Michaela

    2011-12-01

    Full Text Available Abstract Background Existing studies are divided as to whether social inequalities in health widen or converge as people age. In part this is due to reliance on cross-sectional data, but also among longitudinal studies to differences in the measurement of both socioeconomic status (SES and health and in the treatment of survival effects. The aim of this paper is to examine social inequalities in health as people age using longitudinal data from the West of Scotland Twenty-07 Study to investigate the effect of selective mortality, the timing of the SES measure and cohort on the inequality patterns. Methods The Twenty-07 Study has followed three cohorts, born around 1932, 1952 and 1972, from 1987/8 to 2007/8; 4,510 respondents were interviewed at baseline and, at the most recent follow-up, 2,604 were interviewed and 674 had died. Hierarchical repeated-measures models were estimated for self-assessed health status, with and without mortality, with baseline or time-varying social class, sex and cohort. Results Social inequalities in health emerge around the age of 30 after which they widen until the early 60s and then begin to narrow, converging around the age of 75. This pattern is a result of those in manual classes reporting poor health at younger ages, with the gap narrowing as the health of those in non-manual classes declines at older ages. However, employing a more proximal measure of SES reduces inequalities in middle age so that convergence of inequalities is not apparent in old age. Including death in the health outcome steepens the health trajectories at older ages, especially for manual classes, eliminating the convergence in health inequalities, suggesting that healthy survival effects are important. Cohort effects do not appear to affect the pattern of inequalities in health as people age in this study. Conclusions There is a general belief that social inequalities in health appear to narrow at older ages; however, taking account of

  2. Dynamic Changes in Determinants of Inequalities in Health in Europe with Focus on Retired – with particular Regard to Retired Danes

    DEFF Research Database (Denmark)

    Christiansen, Terkel; Lauridsen, Jørgen Trankjær

    Earlier studies of health inequality across European countries have shown intriguing results, in particular with respect to retirement status as one of the determinants of health inequality. A priori, one would expect that inequality in health and income would be associated. Theory suggests...... into its determinants allows a calculation of the contribution of each determinant’s separate contribution to inequality in health. The results presented here indicate that retirement status contributes substantially to income-related inequality in health across European countries, and that the variation...... can be explained by income differences as well as health differences, depending on the country considered. Furthermore, it is indicated that the contribution from retirement status falls for certain countries due to improved socioeconomic status as well as improved health of the retired....

  3. Influence of a screening navigation program on social inequalities in health beliefs about colorectal cancer screening.

    Science.gov (United States)

    Vallet, Fanny; Guillaume, Elodie; Dejardin, Olivier; Guittet, Lydia; Bouvier, Véronique; Mignon, Astrid; Berchi, Célia; Salinas, Agnès; Launoy, Guy; Christophe, Véronique

    2016-08-01

    The aim of the study was to test whether a screening navigation program leads to more favorable health beliefs and decreases social inequalities in them. The selected 261 noncompliant participants in a screening navigation versus a usual screening program arm had to respond to health belief measures inspired by the Protection Motivation Theory. Regression analyses showed that social inequalities in perceived efficacy of screening, favorable attitude, and perceived facility were reduced in the screening navigation compared to the usual screening program. These results highlight the importance of health beliefs to understand the mechanism of screening navigation programs in reducing social inequalities. © The Author(s) 2014.

  4. Tackling inequalities in obesity: a protocol for a systematic review of the effectiveness of public health interventions at reducing socioeconomic inequalities in obesity amongst children

    Directory of Open Access Journals (Sweden)

    Bambra Clare L

    2012-02-01

    Full Text Available Abstract Background There is growing evidence of the impact of overweight and obesity on short- and long-term functioning, health and well-being. Internationally, childhood obesity rates continue to rise in some countries (for example, Mexico, India, China and Canada, although there is emerging evidence of a slowing of this increase or a plateauing in some age groups. In most European countries, the United States and Australia, however, socioeconomic inequalities in relation to obesity and risk factors for obesity are widening. Addressing inequalities in obesity, therefore, has a very high profile on the public health and health services agendas. However, there is a lack of accessible policy-ready evidence on what works in terms of interventions to reduce inequalities in obesity. Methods and design This article describes the protocol for a National Health Service Trust (NHS National Institute for Health Research-funded systematic review of public health interventions at the individual, community and societal levels which might reduce socioeconomic inequalities in relation to obesity amongst children ages 0 to 18 years. The studies will be selected only if (1 they included a primary outcome that is a proxy for body fatness and (2 examined differential effects with regard to socioeconomic status (education, income, occupation, social class, deprivation and poverty or the intervention was targeted specifically at disadvantaged groups (for example, children of the unemployed, lone parents, low income and so on or at people who live in deprived areas. A rigorous and inclusive international literature search will be conducted for randomised and nonrandomised controlled trials, prospective and retrospective cohort studies (with and/or without control groups and prospective repeat cross-sectional studies (with and/or without control groups. The following electronic databases will be searched: MEDLINE, Embase, CINAHL, PsycINFO, Social Science Citation

  5. Tackling inequalities in obesity: a protocol for a systematic review of the effectiveness of public health interventions at reducing socioeconomic inequalities in obesity amongst children.

    Science.gov (United States)

    Bambra, Clare L; Hillier, Frances C; Moore, Helen J; Summerbell, Carolyn D

    2012-02-23

    There is growing evidence of the impact of overweight and obesity on short- and long-term functioning, health and well-being. Internationally, childhood obesity rates continue to rise in some countries (for example, Mexico, India, China and Canada), although there is emerging evidence of a slowing of this increase or a plateauing in some age groups. In most European countries, the United States and Australia, however, socioeconomic inequalities in relation to obesity and risk factors for obesity are widening. Addressing inequalities in obesity, therefore, has a very high profile on the public health and health services agendas. However, there is a lack of accessible policy-ready evidence on what works in terms of interventions to reduce inequalities in obesity. This article describes the protocol for a National Health Service Trust (NHS) National Institute for Health Research-funded systematic review of public health interventions at the individual, community and societal levels which might reduce socioeconomic inequalities in relation to obesity amongst children ages 0 to 18 years. The studies will be selected only if (1) they included a primary outcome that is a proxy for body fatness and (2) examined differential effects with regard to socioeconomic status (education, income, occupation, social class, deprivation and poverty) or the intervention was targeted specifically at disadvantaged groups (for example, children of the unemployed, lone parents, low income and so on) or at people who live in deprived areas. A rigorous and inclusive international literature search will be conducted for randomised and nonrandomised controlled trials, prospective and retrospective cohort studies (with and/or without control groups) and prospective repeat cross-sectional studies (with and/or without control groups). The following electronic databases will be searched: MEDLINE, Embase, CINAHL, PsycINFO, Social Science Citation Index, ASSIA, IBSS, Sociological Abstracts and the

  6. Experimental Research on Quick Structural Health Monitoring Technique for Bridges Using Smartphone

    OpenAIRE

    Zhao, Xuefeng; Ri, Kwang; Han, Ruicong; Yu, Yan; Li, Mingchu; Ou, Jinping

    2016-01-01

    In the recent years, with the development and popularization of smartphone, the utilization of smartphone in the Structural Health Monitoring (SHM) has attracted increasing attention owing to its unique feature. Since bridges are of great importance to society and economy, bridge health monitoring has very practical significance during its service life. Furthermore, rapid damage assessment of bridge after an extreme event such as earthquake is very important in the recovery work. Smartphone-b...

  7. Oral Health Inequalities between Rural and Urban Populations of the African and Middle East Region.

    Science.gov (United States)

    Ogunbodede, E O; Kida, I A; Madjapa, H S; Amedari, M; Ehizele, A; Mutave, R; Sodipo, B; Temilola, S; Okoye, L

    2015-07-01

    Although there have been major improvements in oral health, with remarkable advances in the prevention and management of oral diseases, globally, inequalities persist between urban and rural communities. These inequalities exist in the distribution of oral health services, accessibility, utilization, treatment outcomes, oral health knowledge and practices, health insurance coverage, oral health-related quality of life, and prevalence of oral diseases, among others. People living in rural areas are likely to be poorer, be less health literate, have more caries, have fewer teeth, have no health insurance coverage, and have less money to spend on dental care than persons living in urban areas. Rural areas are often associated with lower education levels, which in turn have been found to be related to lower levels of health literacy and poor use of health care services. These factors have an impact on oral health care, service delivery, and research. Hence, unmet dental care remains one of the most urgent health care needs in these communities. We highlight some of the conceptual issues relating to urban-rural inequalities in oral health, especially in the African and Middle East Region (AMER). Actions to reduce oral health inequalities and ameliorate rural-urban disparity are necessary both within the health sector and the wider policy environment. Recommended actions include population-specific oral health promotion programs, measures aimed at increasing access to oral health services in rural areas, integration of oral health into existing primary health care services, and support for research aimed at informing policy on the social determinants of health. Concerted efforts must be made by all stakeholders (governments, health care workforce, organizations, and communities) to reduce disparities and improve oral health outcomes in underserved populations. © International & American Associations for Dental Research 2015.

  8. The hidden penalties of gender inequality: fetal origins of ill-health.

    Science.gov (United States)

    Osmani, Siddiq; Sen, Amartya

    2003-01-01

    This paper is concerned with the interconnections between gender inequality and maternal deprivation, on the one hand, and the health of children (of either sex) and of adults that the children grow into (again, of either sex). The basic message of the paper is that women's deprivation in terms of nutrition and healthcare rebounds on the society as a whole in the form of ill-health of their offspring-males and females alike-both as children and as adults. There are a variety of pathways through which women's deprivation can affect the health of the society as a whole. This paper focuses on the pathways that operate through undernourishment of the mother. Maternal deprivation adversely affects the health of the fetus, which in turn leads to long-term health risks that extend not just into childhood but into adulthood as well. There are, however, important differences in the way children and adults experience the consequences of maternal deprivation via fetal deprivation. In particular, the pathways that lead to their respective risk factors and the circumstances under which those risk factors actually translate into ill-health are very different. These differences are best understood through the concept of 'overlapping health transition' in which two different regimes of diseases coexist side by side. Gender inequality exacerbates the old regime of diseases among the less affluent through the pathway of childhood undernutrition. At the same time it also exacerbates the new regime of diseases among the relatively more affluent through a pathway that has come to be known as the 'Barker hypothesis'. Gender inequality thus leads to a double jeopardy-simultaneously aggravating both regimes of diseases and thus raising the economic cost of overlapping health transition.

  9. Social Inequalities on Selected Determinants of Active Aging and Health Status Indicators in a Large Brazilian City (2003-2010).

    Science.gov (United States)

    Braga, Luciana de Souza; Lima-Costa, Maria Fernanda; César, Cibele Comini; Macinko, James

    2016-02-01

    To assess trends in social inequalities among 2,624 elderly living in Belo Horizonte, Brazil, in three domains of the World Health Organization's Active Aging model (physical environment, social determinants, use of health services) and health status indicators. Data came from two representative household surveys conducted in 2003 and 2010. Social inequality was measured by the slope and the relative index of inequality. Educational level was used to define socioeconomic status. Significant improvements were observed in the prevalence rates of 7 out of 12 indicators. However, the social inequalities persisted through 10 out of 12 selected active aging and health status indicators, except for fear of falling on the sidewalks/crossing the streets and fear of being robbed. Social inequalities persistence might be assigned to the continuity of unequal distribution of resources among groups with different educational levels. © The Author(s) 2015.

  10. Measuring inequalities in health from survey data using self-assessed social class.

    Science.gov (United States)

    Bacak, Valerio

    2018-03-01

    Asking participants to assess their social class may be an efficient approach to examining inequalities in heath from survey data. The present study investigated this possibility empirically by testing whether subjective class identification is related to overall health. I used pooled cross-sectional data from the 2012 and the 2014 General Social Survey, a nationally representative survey carried out among adults in the United States. The association between health and class was estimated separately by gender, race and age. The association follows a gradient pattern where health deteriorates with lower class position even after controlling for indicators typically used in research that examines class differences in health-educational attainment, family income and occupational prestige. The results largely hold when the data are stratified by gender, race and age. These findings demonstrate the empirical value of subjective class identification for assessing social inequalities in health from survey data.

  11. Regional inequalities in self-rated health and disability in younger and older generations in Turkey: the contribution of wealth and education

    NARCIS (Netherlands)

    Ergin, Isil; Kunst, Anton E.

    2015-01-01

    In Turkey, large regional inequalities were found in maternal and child health. Yet, evidence on regional inequalities in adult health in Turkey remains fragmentary. This study aims to assess regional and rural/urban inequalities in the prevalence of poor self-rated health and in disability among

  12. Tackling inequalities in obesity: a protocol for a systematic review of the effectiveness of public health interventions at reducing socioeconomic inequalities in obesity among adults.

    Science.gov (United States)

    Bambra, Clare L; Hillier, Frances C; Moore, Helen J; Cairns-Nagi, Joanne-Marie; Summerbell, Carolyn D

    2013-05-10

    Socioeconomic inequalities in obesity and associated risk factors for obesity are widening throughout developed countries worldwide. Tackling obesity is high on the public health agenda both in the United Kingdom and internationally. However, what works in terms of interventions that are able to reduce inequalities in obesity is lacking. The review will examine public health interventions at the individual, community and societal level that might reduce inequalities in obesity among adults aged 18 years and over, in any setting and in any country. The following electronic databases will be searched: MEDLINE, EMBASE, CINAHL, PsycINFO, Social Science Citation Index, ASSIA, IBSS, Sociological Abstracts, and the NHS Economic Evaluation Database. Database searches will be supplemented with website and gray literature searches. No studies will be excluded based on language, country or publication date. Randomized and non-randomized controlled trials, prospective and retrospective cohort studies (with/without control groups) and prospective repeat cross-sectional studies (with/without control groups) that have a primary outcome that is a proxy for body fatness and have examined differential effects with regard to socioeconomic status (education, income, occupation, social class, deprivation, poverty) or where the intervention has been targeted specifically at disadvantaged groups or deprived areas will be included. Study inclusion, data extraction and quality appraisal will be conducted by two reviewers. Meta-analysis and narrative synthesis will be conducted. The main analysis will examine the effects of 1) individual, 2) community and 3) societal level public health interventions on socioeconomic inequalities in adult obesity. Interventions will be characterized by their level of action and their approach to tackling inequalities. Contextual information on how such public health interventions are organized, implemented and delivered will also be examined. The review

  13. How to improve collaboration between the public health sector and other policy sectors to reduce health inequalities? - A study in sixteen municipalities in the Netherlands.

    Science.gov (United States)

    Storm, Ilse; den Hertog, Frank; van Oers, Hans; Schuit, Albertine J

    2016-06-22

    The causes of health inequalities are complex. For the reduction of health inequalities, intersectoral collaboration between the public health sector and both social policy sectors (e.g. youth affairs, education) and physical policy sectors (e.g. housing, spatial planning) is essential, but in local practice difficult to realize. The aim of this study was to examine the collaboration between the sectors in question more closely and to identify opportunities for improvement. A qualitative descriptive analysis of five aspects of collaboration within sixteen Dutch municipalities was performed to examine the collaboration between the public health sector and other policy sectors: 1) involvement of the sectors in the public health policy network, 2) harmonisation of objectives, 3) use of policies by the relevant sectors, 4) formalised collaboration, and 5) previous experience. Empirical data on these collaboration aspects were collected based on document analysis, questionnaires and interviews. The study found that the policy workers of social sectors were more involved in the public health network and more frequently supported the objectives in the field of health inequality reduction. Both social policy sectors and physical policy sectors used policies and activities to reduce health inequalities. More is done to influence the determinants of health inequality through policies aimed at lifestyle and social setting than through policies aimed at socioeconomic factors and the physical environment. Where the physical policy sectors are involved in the public health network, the collaboration follows a very similar pattern as with the social policy sectors. All sectors recognise the importance of good relationships, positive experiences, a common interest in working together and coordinated mechanisms. This study shows that there is scope for improving collaboration in the field of health inequality reduction between the public health sector and both social policy sectors

  14. Welfare state, labour market inequalities and health. In a global context: an integrated framework. SESPAS report 2010.

    Science.gov (United States)

    Muntaner, Carles; Benach, Joan; Chung, Haejoo; Edwin, N G; Schrecker, Ted

    2010-12-01

    Since the nineteen seventies, high- and low-income countries have undergone a pattern of transnational economic and cultural integration known as globalization. The weight of the available evidence suggests that the effects of globalization on labor markets have increased economic inequality and various forms of economic insecurity that negatively affect workers' health. Research on the relation between labor markets and health is hampered by the social invisibility of many of these health inequalities. Empirical evidence of the impact of employment relations on health inequalities is scarce for low-income countries, small firms, rural settings, and sectors of the economy in which "informality" is widespread. Information is also scarce on the effectiveness of labor market interventions in reducing health inequalities. This pattern is likely to continue in the future unless governments adopt active labor market policies. Such policies include creating jobs through state intervention, regulating the labor market to protect employment, supporting unions, and ensuring occupational safety and health standards. Copyright © 2010 SESPAS. Published by Elsevier Espana. All rights reserved.

  15. Does early-life income inequality predict self-reported health in later life? Evidence from the United States.

    Science.gov (United States)

    Lillard, Dean R; Burkhauser, Richard V; Hahn, Markus H; Wilkins, Roger

    2015-03-01

    We investigate the association between adult health and the income inequality they experienced as children up to 80 years earlier. Our inequality data track shares of national income held by top percentiles from 1913 to 2009. We average those data over the same early-life years and merge them to individual data from the Panel Study of Income Dynamics data for 1984-2009. Controlling for demographic and economic factors, we find both men and women are statistically more likely to report poorer health if income was more unequally distributed during the first years of their lives. The association is robust to alternative specifications of income inequality and time trends and remains significant even when we control for differences in overall childhood health. Our results constitute prima facie evidence that adults' health may be adversely affected by the income inequality they experienced as children. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Addressing health inequalities in the delivery of the human papillomavirus vaccination programme: examining the role of the school nurse.

    Directory of Open Access Journals (Sweden)

    Tammy Boyce

    Full Text Available HPV immunisation of adolescent girls is expected to have a significant impact in the reduction of cervical cancer. UK The HPV immunisation programme is primarily delivered by school nurses. We examine the role of school nurses in delivering the HPV immunisation programme and their impact on minimising health inequalities in vaccine uptake.A rapid evidence assessment (REA and semi-structured interviews with health professionals were conducted and analysed using thematic analysis. 80 health professionals from across the UK are interviewed, primarily school nurses and HPV immunisation programme coordinators. The REA identified 2,795 articles and after analysis and hand searches, 34 relevant articles were identified and analysed. Interviews revealed that health inequalities in HPV vaccination uptake were mainly related to income and other social factors in contrast to published research which emphasises potential inequalities related to ethnicity and/or religion. Most school nurses interviewed understood local health inequalities and made particular efforts to target girls who did not attend or missed doses. Interviews also revealed maintaining accurate and consistent records influenced both school nurses' understanding and efforts to target inequalities in HPV vaccination uptake.Despite high uptake in the UK, some girls remain at risk of not being vaccinated with all three doses. School nurses played a key role in reducing health inequalities in the delivery of the HPV programme. Other studies identified religious beliefs and ethnicity as potentially influencing HPV vaccination uptake but interviews for this research found this appeared not to have occurred. Instead school nurses stated girls who were more likely to be missed were those not in education. Improving understanding of the delivery processes of immunisation programmes and this impact on health inequalities can help to inform solutions to increase uptake and address health inequalities

  17. Obesity and inequities. Guidance for addressing inequities in overweight and obesity

    DEFF Research Database (Denmark)

    Robertson, Aileen

    ABSTRACT This policy guidance aims to support European policy-makers to improve the design, implementation and evaluation of interventions and policies to reduce inequities in overweight and obesity. The prevalence of obesity in Europe is rising in many countries, and rising fastest in low...... socioeconomic population groups. There is a strong relationship between obesity and low socioeconomic status, especially for women. Reducing health inequities is a key strategic objective of Health 2020 – the European policy framework for health and well-being endorsed by the 53 Member States of the WHO...... to reduce the unequal distribution of obesity in Europe, through approaches which address the social determinants of obesity and the related health, social and economic consequences ofthe obesity inequity gradient....

  18. Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: a recipe for good practice.

    Science.gov (United States)

    Erreygers, Guido; Van Ourti, Tom

    2011-07-01

    The tools to be used and other choices to be made when measuring socioeconomic inequalities with rank-dependent inequality indices have recently been debated in this journal. This paper adds to this debate by stressing the importance of the measurement scale, by providing formal proofs of several issues in the debate, and by lifting the curtain on the confusing debate between adherents of absolute versus relative health differences. We end this paper with a 'matrix' that provides guidelines on the usefulness of several rank-dependent inequality indices under varying circumstances. Copyright © 2011 Elsevier B.V. All rights reserved.

  19. Health Inequalities in South Asia at the Launch of Sustainable Development Goals: Exclusions in Health in Kerala, India Need Political Interventions.

    Science.gov (United States)

    Thresia, C U

    2018-01-01

    Despite substantial progress in social development during the post-colonial period, health inequalities in the South Asian countries were staggering, with reduced life expectancy, higher maternal and child mortality, and gender discrimination. Notably, even with the rapid economic growth during the neoliberal period, India fares below most of the South Asian countries in several health indicators. The Indian state of Kerala stands out with social sector gains; nevertheless, evidence indicates widening health inequalities, restricted public arenas, and undemocratic practices in health, particularly in the context of increasing market logic in the health and social arenas shaping health. The caste, class, gender, and ethnic ideologies and patriarchal power structure interwoven in the sociopolitical, cultural, moral, and health discourses similar to the South Asian context raise serious inequalities for health. At the launch of the United Nations' Sustainable Development Goals, the populations with lingering privations and forbidden freedoms for gaining better health in Kerala, similar to South Asia, were largely the dalits, ethnic and religious minorities, and women. This necessitates greater political interventions, recognizing the interacting effects of history, culture, social factors, politics, and policies on health. And public health research needs to underscore this approach.

  20. Reducing inequalities in health and access to health care in a rural Indian community: an India-Canada collaborative action research project.

    Science.gov (United States)

    Haddad, Slim; Narayana, Delampady; Mohindra, Ks

    2011-11-08

    Inadequate public action in vulnerable communities is a major constraint for the health of poor and marginalized groups in low and middle-income countries (LMICs). The south Indian state of Kerala, known for relatively equitable provision of public resources, is no exception to the marginalization of vulnerable communities. In Kerala, women's lives are constrained by gender-based inequalities and certain indigenous groups are marginalized such that their health and welfare lag behind other social groups. The goal of this socially-engaged, action-research initiative was to reduce social inequalities in access to health care in a rural community. Specific objectives were: 1) design and implement a community-based health insurance scheme to reduce financial barriers to health care, 2) strengthen local governance in monitoring and evidence-based decision-making, and 3) develop an evidence base for appropriate health interventions. Health and social inequities have been masked by Kerala's overall progress. Key findings illustrated large inequalities between different social groups. Particularly disadvantaged are lower-caste women and Paniyas (a marginalized indigenous group), for whom inequalities exist across education, employment status, landholdings, and health. The most vulnerable populations are the least likely to receive state support, which has broader implications for the entire country. A community based health solidarity scheme (SNEHA), under the leadership of local women, was developed and implemented yielding some benefits to health equity in the community-although inclusion of the Paniyas has been a challenge. The Canadian-Indian action research team has worked collaboratively for over a decade. An initial focus on surveys and data analysis has transformed into a focus on socially engaged, participatory action research. Adapting to unanticipated external forces, maintaining a strong team in the rural village, retaining human resources capable of analyzing

  1. Reducing inequalities in health and access to health care in a rural Indian community: an India-Canada collaborative action research project

    Directory of Open Access Journals (Sweden)

    Mohindra KS

    2011-11-01

    Full Text Available Abstract Background Inadequate public action in vulnerable communities is a major constraint for the health of poor and marginalized groups in low and middle-income countries (LMICs. The south Indian state of Kerala, known for relatively equitable provision of public resources, is no exception to the marginalization of vulnerable communities. In Kerala, women’s lives are constrained by gender-based inequalities and certain indigenous groups are marginalized such that their health and welfare lag behind other social groups. The research The goal of this socially-engaged, action-research initiative was to reduce social inequalities in access to health care in a rural community. Specific objectives were: 1 design and implement a community-based health insurance scheme to reduce financial barriers to health care, 2 strengthen local governance in monitoring and evidence-based decision-making, and 3 develop an evidence base for appropriate health interventions. Results and outcomes Health and social inequities have been masked by Kerala’s overall progress. Key findings illustrated large inequalities between different social groups. Particularly disadvantaged are lower-caste women and Paniyas (a marginalized indigenous group, for whom inequalities exist across education, employment status, landholdings, and health. The most vulnerable populations are the least likely to receive state support, which has broader implications for the entire country. A community based health solidarity scheme (SNEHA, under the leadership of local women, was developed and implemented yielding some benefits to health equity in the community—although inclusion of the Paniyas has been a challenge. The partnership The Canadian-Indian action research team has worked collaboratively for over a decade. An initial focus on surveys and data analysis has transformed into a focus on socially engaged, participatory action research. Challenges and successes Adapting to

  2. Global solidarity, migration and global health inequity.

    Science.gov (United States)

    Eckenwiler, Lisa; Straehle, Christine; Chung, Ryoa

    2012-09-01

    The grounds for global solidarity have been theorized and conceptualized in recent years, and many have argued that we need a global concept of solidarity. But the question remains: what can motivate efforts of the international community and nation-states? Our focus is the grounding of solidarity with respect to global inequities in health. We explore what considerations could motivate acts of global solidarity in the specific context of health migration, and sketch briefly what form this kind of solidarity could take. First, we argue that the only plausible conceptualization of persons highlights their interdependence. We draw upon a conception of persons as 'ecological subjects' and from there illustrate what such a conception implies with the example of nurses migrating from low and middle-income countries to more affluent ones. Next, we address potential critics who might counter any such understanding of current international politics with a reference to real-politik and the insights of realist international political theory. We argue that national governments--while not always or even often motivated by moral reasons alone--may nevertheless be motivated to acts of global solidarity by prudential arguments. Solidarity then need not be, as many argue, a function of charitable inclination, or emergent from an acknowledgment of injustice suffered, but may in fact serve national and transnational interests. We conclude on a positive note: global solidarity may be conceptualized to helpfully address global health inequity, to the extent that personal and transnational interdependence are enough to motivate national governments into action. © 2012 Blackwell Publishing Ltd.

  3. Healthcare investment and income inequality.

    Science.gov (United States)

    Bhattacharjee, Ayona; Shin, Jong Kook; Subramanian, Chetan; Swaminathan, Shailender

    2017-12-01

    This paper examines how the relative shares of public and private health expenditures impact income inequality. We study a two period overlapping generation's growth model in which longevity is determined by both private and public health expenditure and human capital is the engine of growth. Increased investment in health, reduces mortality, raises return to education and affects income inequality. In such a framework we show that the cross-section earnings inequality is non-decreasing in the private share of health expenditure. We test this prediction empirically using a variable that proxies for the relative intensity of investments (private versus public) using vaccination data from the National Sample Survey Organization for 76 regions in India in the year 1986-87. We link this with region-specific expenditure inequality data for the period 1987-2012. Our empirical findings, though focused on a specific health investment (vaccines), suggest that an increase in the share of the privately provided health care results in higher inequality. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. ¿Somos iguales? Using a structural violence framework to understand gender and health inequities from an intersectional perspective in the Peruvian Amazon.

    Science.gov (United States)

    Shannon, Geordan D; Motta, Angelica; Cáceres, Carlos F; Skordis-Worrall, Jolene; Bowie, Diana; Prost, Audrey

    In the Peruvian Amazon, historical events of colonization and political marginalization intersect with identities of ethnicity, class and geography in the construction of gender and health inequities. Gender-based inequalities can manifest in poor health outcomes via discriminatory practices, healthcare system imbalances, inequities in health research, and differential exposures and vulnerabilities to diseases. Structural violence is a comprehensive framework to explain the mechanisms by which social forces such as poverty, racism and gender inequity become embodied as individual experiences and health outcomes, and thus may be a useful tool in structuring an intersectional analysis of gender and health inequities in Amazonian Peru. The aim of this paper is to explore the intersection of gender inequities with other social inequalities in the production of health and disease in Peru's Amazon using a structural violence approach. Exploratory qualitative research was performed in two Loreto settings - urban Iquitos and the rural Lower Napo River region - between March and November 2015. This included participant observation with prolonged stays in the community, 46 semi-structured individual interviews and three group discussions. Thematic analysis was performed to identify emerging themes related to gender inequalities in health and healthcare and how these intersect with layered social disadvantages in the reproduction of health and illness. We employed a structural violence approach to construct an intersectional analysis of gender and health inequities in Amazonian Peru. Our findings were arranged into five interrelated domains within a gender, structural violence and health model: gender as a symbolic institution, systemic gender-based violence, interpersonal violence, the social determinants of health, and other health outcomes. Each domain represents one aspect of the complex associations between gender, gender inequity and health. Through this model, we were

  5. Towards universal health coverage: the role of within-country wealth-related inequality in 28 countries in sub-Saharan Africa.

    Science.gov (United States)

    Hosseinpoor, Ahmad Reza; Victora, Cesar G; Bergen, Nicole; Barros, Aluisio J D; Boerma, Ties

    2011-12-01

    To measure within-country wealth-related inequality in the health service coverage gap of maternal and child health indicators in sub-Saharan Africa and quantify its contribution to the national health service coverage gap. Coverage data for child and maternal health services in 28 sub-Saharan African countries were obtained from the 2000-2008 Demographic Health Survey. For each country, the national coverage gap was determined for an overall health service coverage index and select individual health service indicators. The data were then additively broken down into the coverage gap in the wealthiest quintile (i.e. the proportion of the quintile lacking a required health service) and the population attributable risk (an absolute measure of within-country wealth-related inequality). In 26 countries, within-country wealth-related inequality accounted for more than one quarter of the national overall coverage gap. Reducing such inequality could lower this gap by 16% to 56%, depending on the country. Regarding select individual health service indicators, wealth-related inequality was more common in services such as skilled birth attendance and antenatal care, and less so in family planning, measles immunization, receipt of a third dose of vaccine against diphtheria, pertussis and tetanus and treatment of acute respiratory infections in children under 5 years of age. The contribution of wealth-related inequality to the child and maternal health service coverage gap differs by country and type of health service, warranting case-specific interventions. Targeted policies are most appropriate where high within-country wealth-related inequality exists, and whole-population approaches, where the health-service coverage gap is high in all quintiles.

  6. Income inequality and self-reported health in a representative sample of 27 017 residents of state capitals of Brazil.

    Science.gov (United States)

    Massa, K H C; Pabayo, R; Chiavegatto Filho, A D P

    2018-02-01

    The association between income inequality and health has been analyzed predominantly in developed countries with modest levels of inequality. The study aimed to analyze the association between income inequality and self-reported health (SRH) in the adult population of the 27 Brazilian capitals. Individuals aged 18 years or older from the National Health survey residing in Brazilian capitals in 2013 were analyzed (n = 27 017). Bayesian multilevel models were applied after controlling for individual factors and area-level socioeconomic characteristics. We found a significant association between income inequality and SRH, even after controlling for individual and contextual factors. The results indicate greater odds of poor SRH among those living in areas with medium (OR = 1.31, 95% CI: 1.17-1.47) and high income inequality level (OR = 1.39, 95% CI: 1.24-1.56). Income inequality remained significantly associated with SRH, even after controlling for other contextual socioeconomic characteristics, such as local illiteracy rate, violence and per capita income. The study highlights the importance of the individual and contextual characteristics associated with SRH. Our findings suggest that city-level income inequality can have a detrimental effect on individual health, over and above other contextual socioeconomic characteristics and individual factors. © The Author(s) 2018. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

  7. Rethinking the relationship between socioeconomic status and health: Challenging how socioeconomic status is currently used in health inequality research.

    Science.gov (United States)

    Gagné, Thierry; Ghenadenik, Adrian E

    2018-02-01

    The Scandinavian Journal of Public Health recently reiterated the importance of addressing social justice and health inequalities in its new editorial policy announcement. One of the related challenges highlighted in that issue was the limited use of sociological theories able to inform the complexity linking the resources and mechanisms captured by the concept of socioeconomic status. This debate article argues that part of the problem lies in the often unchallenged reliance on a generic conceptualization and operationalization of socioeconomic status. These practices hinder researchers' capacity to examine in finer detail how resources and circumstances promote the unequal distribution of health through distinct yet intertwined pathways. As a potential way forward, this commentary explores how research practices can be challenged through concrete publication policies and guidelines. To this end, we propose a set of recommendations as a tool to strengthen the study of socioeconomic status and, ultimately, the quality of health inequality research. Authors, reviewers, and editors can become champions of change toward the implementation of sociological theory by holding higher standards regarding the conceptualization, operationalization, analysis, and interpretation of results in health inequality research.

  8. Is wealthier always healthier? The impact of national income level, inequality, and poverty on public health in Latin America.

    Science.gov (United States)

    Biggs, Brian; King, Lawrence; Basu, Sanjay; Stuckler, David

    2010-07-01

    Despite findings indicating that both national income level and income inequality are each determinants of public health, few have studied how national income level, poverty and inequality interact with each other to influence public health outcomes. We analyzed the relationship between gross domestic product (GDP) per capita in purchasing power parity, extreme poverty rates, the gini coefficient for personal income and three common measures of public health: life expectancy, infant mortality rates, and tuberculosis (TB) mortality rates. Introducing poverty and inequality as modifying factors, we then assessed whether the relationship between GDP and health differed during times of increasing, decreasing, and decreasing or constant poverty and inequality. Data were taken from twenty-two Latin American countries from 1960 to 2007 from the December 2008 World Bank World Development Indicators, World Health Organization Global Tuberculosis Database 2008, and the Socio-Economic Database for Latin America and the Caribbean. Consistent with previous studies, we found increases in GDP have a sizable positive impact on population health. However, the strength of the relationship is powerfully influenced by changing levels of poverty and inequality. When poverty was increasing, greater GDP had no significant effect on life expectancy or TB mortality, and only led to a small reduction in infant mortality rates. When inequality was rising, greater GDP had only a modest effect on life expectancy and infant mortality rates, and no effect on TB mortality rates. In sharp contrast, during times of decreasing or constant poverty and inequality, there was a very strong relationship between increasing GDP and higher life expectancy and lower TB and infant mortality rates. Finally, inequality and poverty were found to exert independent, substantial effects on the relationship between national income level and health. Wealthier is indeed healthier, but how much healthier depends on how

  9. Care and consumption: A Latin American social medicine's conceptual framework to comprehend oral health inequalities.

    Science.gov (United States)

    Abadía-Barrero, César Ernesto; Martínez-Parra, Adriana Gisela

    2017-10-01

    This article offers a conceptual framework that arises out of the Latin American Social Medicine/Collective Health (LASM/CH) tradition to comprehend inequalities in oral health. We conducted a dialogue between the LASM/CH proposal called social determination of health (in particular one of its nuclear categories 'ways of living together') and studies that address social inequalities and oral health. This dialogue allowed us to redefine oral health-disease-treatment as a process that either promotes or harms well-being and is modulated by different ways of living together where not only patients and professionals, but also governments, supranational bodies, and national and international markets represented by food, pharmaceutical, insurance, personal care, and cosmetic companies interact. The article proposes the cycle particular-consumption care/institutional-consumption care as the construct that allows investigators to think about how ways of living together relate to oral health inequalities. 'Particular-consumption care' includes ways and possibilities to access healthy foods and practice protective hygienic measures. 'Institutional-consumption care' refers to institutional responses related to supply, access to services, capabilities for resolution, and pedagogical practices.

  10. Culture as a problem in linking material inequality to health: on residential crowding in the Arctic.

    Science.gov (United States)

    Lauster, Nathanael; Tester, Frank

    2010-05-01

    Two problems are noted in the process of measuring material inequality and linking it to health across cultural boundaries. First, comparative measurements may be used as the basis for policy making, which ends up disciplining cultural minorities. In this way, policies intended to relieve disparities can actually have the effect of extending the power of the dominant group to define appropriate cultural understanding of the world for the minority group. Second, comparative measurements may inaccurately inform theories of how inequality works to influence health and well-being. To the extent that culture mediates the relationship between inequality and outcomes of interest to researchers, those ignoring cultural differences will fail to adequately assess the impact and significance of material inequality. In this paper we discuss and illustrate these problems with reference to the study and measurement of overcrowding and its effects on health and well-being for Inuit communities in Nunavut, Canada. Copyright 2010 Elsevier Ltd. All rights reserved.

  11. Social class related inequalities in household health expenditure and economic burden: evidence from Kerala, south India

    Directory of Open Access Journals (Sweden)

    Narayana Delampady

    2011-01-01

    Full Text Available Abstract Background In the Indian context, a household's caste characteristics are most relevant for identifying its poverty and vulnerability status. Inadequate provision of public health care, the near-absence of health insurance and increasing dependence on the private health sector have impoverished the poor and the marginalised, especially the scheduled tribe population. This study examines caste-based inequalities in households' out-of-pocket health expenditure in the south Indian state of Kerala and provides evidence on the consequent financial burden inflicted upon households in different caste groups. Methods Using data from a 2003-2004 panel survey in Kottathara Panchayat that collected detailed information on health care consumption from 543 households, we analysed inequality in per capita out-of-pocket health expenditure across castes by considering households' health care needs and types of care utilised. We used multivariate regression to measure the caste-based inequality in health expenditure. To assess health expenditure burden, we analysed households incurring high health expenses and their sources of finance for meeting health expenses. Results The per capita health expenditures reported by four caste groups accord with their status in the caste hierarchy. This was confirmed by multivariate analysis after controlling for health care needs and influential confounders. Households with high health care needs are more disadvantaged in terms of spending on health care. Households with high health care needs are generally at higher risk of spending heavily on health care. Hospitalisation expenditure was found to have the most impoverishing impacts, especially on backward caste households. Conclusion Caste-based inequality in household health expenditure reflects unequal access to quality health care by different caste groups. Households with high health care needs and chronic health care needs are most affected by this inequality

  12. Socioeconomic multi-domain health inequalities in Dutch primary school children

    NARCIS (Netherlands)

    Vermeiren, Angelique P.; Willeboordse, Maartje; Oosterhoff, Marije; Bartelink, Nina; Muris, Peter; Bosma, Hans

    2018-01-01

    Background: This study assesses socio-economic health inequalities (SEHI) over primary school-age (4- to 12-years old) across 13 outcomes (i.e. body-mass index [BMI], handgrip strength, cardiovascular fitness, current physical conditions, moderate to vigorous physical activity, sleep duration, daily

  13. Social capital, income inequality and the social gradient in self-rated health in Latin America: A fixed effects analysis.

    Science.gov (United States)

    Vincens, Natalia; Emmelin, Maria; Stafström, Martin

    2018-01-01

    Latin America is the most unequal region in the world. The current sustainable development agenda increased attention to health inequity and its determinants in the region. Our aim is to investigate the social gradient in health in Latin America and assess the effects of social capital and income inequality on it. We used cross-sectional data from the World Values Survey and the World Bank. Our sample included 10,426 respondents in eight Latin American countries. Self-rated health was used as the outcome. Education level was the socioeconomic position indicator. We measured social capital by associational membership, civic participation, generalized trust, and neighborhood trust indicators at both individual and country levels. Income inequality was operationalized using the Gini index at country-level. We employed fixed effects logistic regressions and cross-level interactions to assess the impact of social capital and income inequality on the heath gradient, controlling for country heterogeneity. Education level was independently associated with self-rated health, representing a clear social gradient in health, favoring individuals in higher socioeconomic positions. Generalized and neighborhood trust at country-level moderated the effect on the association between socioeconomic position and health, yet favoring individuals in lower socioeconomic positions, especially in lower inequality countries, despite their lower individual social capital. Our findings suggest that collective rather than individual social capital can impact the social gradient in health in Latin America, explaining health inequalities. Copyright © 2017 Elsevier Ltd. All rights reserved.

  14. Income inequities in end-of-life health care spending in British Columbia, Canada: A cross-sectional analysis, 2004-2006

    Directory of Open Access Journals (Sweden)

    Hanley Gillian E

    2011-03-01

    Full Text Available Abstract Background This study aimed to measure the income-related inequalities and inequities - the inequalities that remain after accounting for differences in health need - in expenditure on fully publicly covered (hospital and ambulatory and partially publicly covered (prescription drugs services for those in their last year of life in the province of British Columbia (B.C., Canada. We focused on a decedent population for three reasons: to minimize unmeasured need differences among our cohort and therefore isolate income effects; to explore inequities for a high-spending window of health care use; and, because previous studies have found conflicting relationships between income and decedent health care spending, to further quantify this relationship. Methods We used linked administrative databases to describe spending on health services by income for all 58,820 deaths of B.C. residents 65 and older from 2004 to 2006. Regression analyses examined the association between income and health care spending, adjusting for age, sex, health status, cause of death, and other relevant factors. We then used concentration indexes to measure both inequalities and inequities separately for three key types of services. Analyses were also run separately for men and women. Results On average, per capita expenditure on acute health care in the last year of life was $20,705 (CDN2006. In need-adjusted regression analyses, we found decedents in the highest income quintile had 11% lower hospital expenditures, 15% higher specialist expenditures and 23% higher prescription drug expenditures than decedents in the lowest income quintile. Concentration index analysis suggested that spending for all types of care was concentrated among those with higher income before adjusting for need. Need-adjusted equity results mirrored regression findings and suggested patterns of inequities that were more pronounced among male decedents than females. Conclusions Despite the

  15. The relationships between income inequality, welfare regimes and aggregate health: a systematic review.

    Science.gov (United States)

    Kim, Ki-Tae

    2017-06-01

    : When analysing the relationships between income inequality, welfare regimes and aggregate health at the cross-national level, previous primary articles and systematic reviews reach inconsistent conclusions. Contrary to theoretical expectations, equal societies or the Social Democratic welfare regime do not always have the best aggregate health when compared with those of other relatively unequal societies or other welfare regimes. This article will shed light on the controversial subjects with a new decomposition systematic review method. The decomposition systematic review method breaks down an individual empirical article, if necessary, into multiple findings based on an article's use of the following four components: independent variable, dependent variable, method and dataset. This decomposition method extracts 107 findings from the selected 48 articles, demonstrating the dynamics between the four components. 'The age threshold effect' is recognized over which the hypothesized relations between income inequality, welfare regimes and aggregate health reverse. The hypothesis is supported mainly for younger infant and child health indicators, but not for adult health or general health indicators such as life expectancy. Further three threshold effects (income, gender and period) have also been put forward. The negative relationship between income inequality and aggregate health, often termed as the Wilkinson Hypothesis, was not generally observed in all health indicators except for infant and child mortality. The Scandinavian welfare regime reveals worse-than-expected outcomes in all health indicators except infant and child mortality. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  16. Can Social Inclusion Policies Reduce Health Inequalities in Sub-Saharan Africa?—A Rapid Policy Appraisal

    Science.gov (United States)

    Palha de Sousa, César A.D; Molomo, Boitumelo G

    2009-01-01

    The global resurgence of interest in the social determinants of health provides an opportunity for determined action on unacceptable and unjust health inequalities that exist within and between countries. This paper reviews three categories of social inclusion policies: cash-transfers; free social services; and specific institutional arrangements for programme integration in six selected countries—Botswana, Mozambique, South Africa, Ethiopia, Nigeria, and Zimbabwe. The policies were appraised as part of the Social Exclusion Knowledge Network (SEKN) set up under the auspices of the World Health Organization's Commission on Social Determinants of Health. The paper highlights the development landscape in sub-Saharan Africa and presents available indicators of the scale of inequity in the six countries. A summary of the policies appraised is presented, including whether or what the impact of these policies has been on health inequalities. Cross-cutting benefits include poverty alleviation, notably among vulnerable children and youths, improved economic opportunities for disadvantaged households, reduction in access barriers to social services, and improved nutrition intake. The impact of these benefits, and hence the policies, on health status can only be inferred. Among the policies reviewed, weaknesses or constraints were in design and implementation. The policy design weaknesses include targeting criteria, their enforcement and latent costs, inadequate parti-cipation of the community and failure to take the cultural context into account. A major weakness of most policies was the lack of a monitoring and evaluation system, with clear indicators that incorporate system responsiveness. The policy implementation weaknesses include uneven regional implementation with rural areas worst affected; inadequate or poor administrative and implementation capacity; insufficient resources; problems of fraud and corruption; and lack of involvement of civil servants, exacerbating

  17. Growing inequities in maternal health in South Africa: a comparison of serial national household surveys.

    Science.gov (United States)

    Wabiri, Njeri; Chersich, Matthew; Shisana, Olive; Blaauw, Duane; Rees, Helen; Dwane, Ntabozuko

    2016-09-01

    Rates of maternal mortality and morbidity vary markedly, both between and within countries. Documenting these variations, in a very unequal society like South Africa, provides useful information to direct initiatives to improve services. The study describes inequalities over time in access to maternal health services in South Africa, and identifies differences in maternal health outcomes between population groups and across geographical areas. Data were analysed from serial population-level household surveys that applied multistage-stratified sampling. Access to maternal health services and health outcomes in 2008 (n = 1121) were compared with those in 2012 (n = 1648). Differences between socio-economic quartiles were quantified using the relative (RII) and slope (SII) index of inequality, based on survey weights. High levels of inequalities were noted in most measures of service access in both 2008 and 2012. Inequalities between socio-economic quartiles worsened over time in antenatal clinic attendance, with overall coverage falling from 97.0 to 90.2 %. Nationally, skilled birth attendance remained about 95 %, with persistent high inequalities (SII = 0.11, RII = 1.12 in 2012). In 2012, having a doctor present at childbirth was higher than in 2008 (34.4 % versus 27.8 %), but inequalities worsened. Countrywide, levels of planned pregnancy declined from 44.6 % in 2008 to 34.7 % in 2012. The RII and SII rose over this period and in 2012, only 22.4 % of the poorest quartile had a planned pregnancy. HIV testing increased substantially by 2012, though remains low in groups with a high HIV prevalence, such as women in rural formal areas, and from Gauteng and Mpumalanga provinces. Marked deficiencies in service access were noted in the Eastern Cape ad North West provinces. Though some population-level improvements occurred in access to services, inequalities generally worsened. Low levels of planned pregnancy, antenatal clinic access and having a

  18. Bridge health monitoring metrics : updating the bridge deficiency algorithm.

    Science.gov (United States)

    2009-10-01

    As part of its bridge management system, the Alabama Department of Transportation (ALDOT) must decide how best to spend its bridge replacement funds. In making these decisions, ALDOT managers currently use a deficiency algorithm to rank bridges that ...

  19. The impact of primary healthcare in reducing inequalities in child health outcomes, Bogotá – Colombia: an ecological analysis

    Directory of Open Access Journals (Sweden)

    Mosquera Paola A

    2012-11-01

    Full Text Available Abstract Background Colombia is one of the countries with the widest levels of socioeconomic and health inequalities. Bogotá, its capital, faces serious problems of poverty, social disparities and access to health services. A Primary Health Care (PHC strategy was implemented in 2004 to improve health care and to address the social determinants of such inequalities. This study aimed to evaluate the contribution of the PHC strategy to reducing inequalities in child health outcomes in Bogotá. Methods An ecological analysis with localities as the unit of analysis was carried out. The variable used to capture the socioeconomic status and living standards was the Quality of Life Index (QLI. Concentration curves and concentration indices for four child health outcomes (infant mortality rate (IMR, under-5 mortality rate, prevalence of acute malnutrition in children under-5, and vaccination coverage for diphtheria, pertussis and tetanus were calculated to measure socioeconomic inequality. Two periods were used to describe possible changes in the magnitude of the inequalities related with the PHC implementation (2003 year before - 2007 year after implementation. The contribution of the PHC intervention was computed by a decomposition analysis carried out on data from 2007. Results In both 2003 and 2007, concentration curves and indexes of IMR, under-5 mortality rate and acute malnutrition showed inequalities to the disadvantage of localities with lower QLI. Diphtheria, pertussis and tetanus (DPT vaccinations were more prevalent among localities with higher QLI in 2003 but were higher in localities with lower QLI in 2007. The variation of the concentration index between 2003 and 2007 indicated reductions in inequality for all of the indicators in the period after the PHC implementation. In 2007, PHC was associated with a reduction in the effect of the inequality that affected disadvantaged localities in under-5 mortality (24%, IMR (19% and acute

  20. Understanding the micro and macro politics of health: Inequalities, intersectionality & institutions - A research agenda.

    Science.gov (United States)

    Gkiouleka, Anna; Huijts, Tim; Beckfield, Jason; Bambra, Clare

    2018-03-01

    This essay brings together intersectionality and institutional approaches to health inequalities, suggesting an integrative analytical framework that accounts for the complexity of the intertwined influence of both individual social positioning and institutional stratification on health. This essay therefore advances the emerging scholarship on the relevance of intersectionality to health inequalities research. We argue that intersectionality provides a strong analytical tool for an integrated understanding of health inequalities beyond the purely socioeconomic by addressing the multiple layers of privilege and disadvantage, including race, migration and ethnicity, gender and sexuality. We further demonstrate how integrating intersectionality with institutional approaches allows for the study of institutions as heterogeneous entities that impact on the production of social privilege and disadvantage beyond just socioeconomic (re)distribution. This leads to an understanding of the interaction of the macro and the micro facets of the politics of health. Finally, we set out a research agenda considering the interplay/intersections between individuals and institutions and involving a series of methodological implications for research - arguing that quantitative designs can incorporate an intersectional institutional approach. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

  1. A Systematic Literature Review of Studies Analyzing Inequalities in Health Expectancy among the Older Population.

    Directory of Open Access Journals (Sweden)

    Benedetta Pongiglione

    Full Text Available To collect, organize and appraise evidence of socioeconomic and demographic inequalities in health and mortality among the older population using a summary measure of population health: Health Expectancy.A systematic literature review was conducted. Literature published in English before November 2014 was searched via two possible sources: three electronic databases (Web of Science, Medline and Embase, and references in selected articles. The search was developed combining terms referring to outcome, exposure and participants, consisting in health expectancy, socioeconomic and demographic groups, and older population, respectively.Of 256 references identified, 90 met the inclusion criteria. Six references were added after searching reference lists of included articles. Thirty-three studies were focused only on gender-based inequalities; the remaining sixty-three considered gender along with other exposures. Findings were organized according to two leading perspectives: the type of inequalities considered and the health indicators chosen to measure health expectancy. Evidence of gender-based differentials and a socioeconomic gradient were found in all studies. A remarkable heterogeneity in the choice of health indicators used to compute health expectancy emerged as well as a non-uniform way of defining same health conditions.Health expectancy is a useful and convenient measure to monitor and assess the quality of ageing and compare different groups and populations. This review showed a general agreement of results obtained in different studies with regard to the existence of inequalities associated with several factors, such as gender, education, behaviors, and race. However, the lack of a standardized definition of health expectancy limits its comparability across studies. The need of conceiving health expectancy as a comparable and repeatable measure was highlighted as fundamental to make it an informative instrument for policy makers.

  2. [Environmental justice as an approach to tackle environmental health inequalities].

    Science.gov (United States)

    Bolte, Gabriele; Bunge, Christiane; Hornberg, Claudia; Köckler, Heike

    2018-06-01

    Current international studies show that environment-related diseases disproportionately affect vulnerable people. This is a case of environmental injustice. Environmental justice goes beyond the mere description of environment- and health-related social inequalities by comprising two dimensions of justice as a normative approach: distributional and procedural justice. Attempts to explain the link between social circumstances, the environment and health deal with both the socially unequal distribution of environmental hazards and environmental resources (exposure variation) and social differences in vulnerability to the health effects of environmental exposures (effect modification). Integrated monitoring approaches provide the basis for deriving interventions under various aspects of environmental justice. Parting from public health research and embedded in the Health in All Policies (HiAP) concept, environmental justice has now been taken up in a number of fields, including politics, administration and practice. There are strategic considerations and attempts to anchor it in politics at the federal, state and the communal level, both by government and non-government groups. Health-promoting urban development is a core field for intervention. The Soziale Stadt (Social City) programme for promoting urban planning and construction as well as place oriented sectoral planning make an important contribution by helping to focus on urban spaces with multiple health hazards and to implement target group-oriented participation processes. There continues to be a need to develop methods and systematically implemented evaluations of political strategies and corresponding interventions regarding their effects on inequalities in health and environmental justice.

  3. Educational inequalities in health expectancy during the financial crisis in Denmark

    DEFF Research Database (Denmark)

    Brønnum-Hansen, Henrik; Baadsgaard, Mikkel; Eriksen, Mette Lindholm

    2015-01-01

    in expected lifetime in self-rated good health increased by 1.3 years for men and 1.2 years for women. CONCLUSIONS: The social inequality in DFLE for men and expected lifetime in self-rated good health for both genders increased slightly during the short period. The financial crisis did not seem to indicate...

  4. A general method for decomposing the causes of socioeconomic inequality in health.

    Science.gov (United States)

    Heckley, Gawain; Gerdtham, Ulf-G; Kjellsson, Gustav

    2016-07-01

    We introduce a general decomposition method applicable to all forms of bivariate rank dependent indices of socioeconomic inequality in health, including the concentration index. The technique is based on recentered influence function regression and requires only the application of OLS to a transformed variable with similar interpretation. Our method requires few identifying assumptions to yield valid estimates in most common empirical applications, unlike current methods favoured in the literature. Using the Swedish Twin Registry and a within twin pair fixed effects identification strategy, our new method finds no evidence of a causal effect of education on income-related health inequality. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  5. Papers produced from the Health Inequalities Audit Process for DG Sante at European Commission

    DEFF Research Database (Denmark)

    Robertson, Aileen

    2014-01-01

    As health and social inequalities appear to be increasing within and between EU countries, the Council of the European Union encourages Member States to create and promote policies, strategies, and initiatives that support a healthy lifestyle throughout the life-course. Promoting and supporting...... countries. If these disaggregated data are readily available, they can provide a useful basis to investigate which interventions can best reduce social inequalities in maternal and young child health by helping us to understand what is needed to improve poor infant feeding practices....

  6. New Approaches for Moving Upstream: How State and Local Health Departments Can Transform Practice to Reduce Health Inequalities

    Science.gov (United States)

    Freudenberg, Nicholas; Franzosa, Emily; Chisholm, Janice; Libman, Kimberly

    2015-01-01

    Growing evidence shows that unequal distribution of wealth and power across race, class, and gender produces the differences in living conditions that are "upstream" drivers of health inequalities. Health educators and other public health professionals, however, still develop interventions that focus mainly on "downstream"…

  7. The macro-economic determinants of health and health inequalities-umbrella review protocol.

    Science.gov (United States)

    Naik, Yannish; Baker, Peter; Walker, Ian; Tillmann, Taavi; Bash, Kristin; Quantz, Darryl; Hillier-Brown, Frances; Bambra, Clare

    2017-11-03

    The economic determinants of health have been widely recognised as crucial factors affecting health; however, to date, no comprehensive review has been undertaken to summarise these factors and the ways in which they can influence health. We conceptualise the economy as a complex system made up of underlying approaches, regulation from institutions, markets, finance, labour, the public-private balance as well as production and distributional effects, which collectively impact on health through the effect of moderators. This protocol details the methods for an umbrella review to explore the macro-economic factors, strategies, policies and interventions that affect health outcomes and health inequalities. We will identify relevant systematic reviews using search terms derived from the Journal of Economic Literature classification. Reviews will be included if they meet the Database of Abstracts and Reviews of Effects criteria for systematic reviews. Reviews of studies with and without controls will be included; both association and intervention studies will be included. Primary outcomes will include but are not limited to morbidity, mortality, prevalence and incidence of conditions and life expectancy. Secondary outcomes will include health inequalities by gender, ethnicity or socio-economic status. Six databases will be searched using tailored versions of our piloted search strategy to locate relevant reviews. Data will be extracted using a standardized pro forma, and the findings will be synthesized into a conceptual framework to address our review aim. Our umbrella review protocol provides a robust method to systematically appraise the evidence in this field, using new conceptual models derived specifically to address the study question. This will yield important information for policymakers, practitioners and researchers at the local, national and international level. It will also help set the future research agenda in this field and guide the development of

  8. Pathways and mechanisms in adolescence contribute to adult health inequalities

    DEFF Research Database (Denmark)

    Due, Pernille; Krølner, Rikke; Rasmussen, Mette

    2011-01-01

    useful for providing an overview of what elements and mechanisms in adolescence may be of special importance for adult health inequalities. There is a lack of knowledge of how social patterns of health, health behaviours, and social relations in adolescence transfer into adulthood and to what extent...... vulnerability. METHODS: We conducted literature searches in English-language peer-reviewed journals using PubMed (from 1966 to May 2009) and PsycINFO, and combined these with hand-searches of reference lists, journals, and authors of particular relevance. RESULTS: Most health indicators are socially patterned...

  9. Postneoliberal Public Health Care Reforms: Neoliberalism, Social Medicine, and Persistent Health Inequalities in Latin America.

    Science.gov (United States)

    Hartmann, Christopher

    2016-12-01

    Several Latin American countries are implementing a suite of so-called "postneoliberal" social and political economic policies to counter neoliberal models that emerged in the 1980s. This article considers the influence of postneoliberalism on public health discourses, policies, institutions, and practices in Bolivia, Ecuador, and Venezuela. Social medicine and neoliberal public health models are antecedents of postneoliberal public health care models. Postneoliberal public health governance models neither fully incorporate social medicine nor completely reject neoliberal models. Postneoliberal reforms may provide an alternative means of reducing health inequalities and improving population health.

  10. State-level income inequality and family burden of U.S. families raising children with special health care needs.

    Science.gov (United States)

    Parish, Susan L; Rose, Roderick A; Dababnah, Sarah; Yoo, Joan; Cassiman, Shawn A

    2012-02-01

    Growing evidence supports the hypothesis that income inequality within a nation influences health outcomes net of the effect of any given household's absolute income. We tested the hypothesis that state-level income inequality in the United States is associated with increased family burden for care and health-related expenditures for low-income families of children with special health care needs. We analyzed the 2005-06 wave of the National Survey of Children with Special Health Care Needs, a probability sample of approximately 750 children with special health care needs in each state and the District of Columbia in the US Our measure of state-level income inequality was the Gini coefficient. Dependent measures of family caregiving burden included whether the parent received help arranging or coordinating the child's care and whether the parent stopped working due to the child's health. Dependent measures of family financial burden included absolute burden (spending in past 12 months for child's health care needs) and relative burden (spending as a proportion of total family income). After controlling for a host of child, family, and state factors, including family income and measures of the severity of a child's impairments, state-level income inequality has a significant and independent association with family burden related to the health care of their children with special health care needs. Families of children with special health care needs living in states with greater levels of income inequality report higher rates of absolute and relative financial burden. Copyright © 2011 Elsevier Ltd. All rights reserved.

  11. Socio-economic inequalities in health services utilization: a cross-sectional study.

    Science.gov (United States)

    Ranjbar Ezzatabadi, Mohammad; Khosravi, Ameneh; Bahrami, Mohammad Amin; Rafiei, Sima

    2018-02-12

    Purpose Developing country workers mainly face important challenges when examining equality in health services utilization among the population and identifying influential factors. The purpose of this paper us to: understand health service use among households with different socio-economic status in Isfahan province; and to investigate probable inequality determinants in service utilization. Design/methodology/approach Almost 1,040 households living in Isfahan province participated in this cross-sectional study in 2013. Data were collected by a questionnaire with three sections: demographic characteristics; socio-economic status; and health services utilization. The concentration index was applied to measure inequality. Analysts used STATA 11. Findings Economic status, educational level, insurance coverage and household gender were the most influential factors on health services utilization. Those with a high socio-economic level were more likely to demand and use such services; although self-medication patterns showed an opposite trend. Practical implications Female-headed families face with more difficulties in access to basic human needs including health. Supportive policies are needed to meet their demands. Originality/value The authors used principle component analysis to assess households' economic situation, which reduced the variables into a single index.

  12. Work or place? Assessing the concurrent effects of workplace exploitation and area-of-residence economic inequality on individual health.

    Science.gov (United States)

    Muntaner, Carles; Li, Yong; Ng, Edwin; Benach, Joan; Chung, Haejoo

    2011-01-01

    Building on previous multilevel studies in social epidemiology, this cross-sectional study examines, simultaneously, the contextual effects of workplace exploitation and area-of-residence economic inequality on social inequalities in health among low-income nursing assistants. A total of 868 nursing assistants recruited from 55 nursing homes in Kentucky, Ohio, and West Virginia were surveyed between 1999 and 2001. Using a cross-classified multilevel design, the authors tested the effects of area-of-residence (income inequality and racial segregation), workplace (type of nursing home ownership and managerial pressure), and individual-level (age, gender, race/ethnicity, health insurance, length of employment, social support, type of nursing unit, preexisting psychopathology, physical health, education, and income) variables on health (self-reported health and activity limitations) and behavioral outcomes (alcohol use and caffeine consumption). Findings reveal that overall health was associated with both workplace exploitation and area-of-residence income inequality; area of residence was associated with activity limitations and binge drinking; and workplace exploitation was associated with caffeine consumption. This study explicitly accounts for the multiple contextual structure and effects of economic inequality on health. More work is necessary to replicate the current findings and establish robust conclusions on workplace and area of residence that might help inform interventions.

  13. Do unfavourable working conditions explain mental health inequalities between ethnic groups?: cross-sectional data of the HELIUS study

    NARCIS (Netherlands)

    Nieuwenhuijsen, K.; Schene, A.H.; Stronks, K.; Snijder, M.B.; Frings-Dresen, M.H.; Sluiter, J.K.

    2015-01-01

    BACKGROUND: Ethnic inequalities in mental health have been found in many high-income countries. The purpose of this study is to test whether mental health inequalities between ethnic groups are mediated by exposure to unfavourable working conditions. METHODS: Workers (n = 6278) were selected from

  14. The Effect of Growth and Inequality in Incomes on Health Inequality: Theory and Empirical Evidence from the European Panel

    NARCIS (Netherlands)

    T.G.M. van Ourti (Tom); E.K.A. van Doorslaer (Eddy); A.H.E. Koolman (Xander)

    2006-01-01

    textabstractEurope aims at combining income growth with improvements in social cohesion as measured by income and health inequalities. We show that, theoretically, both aims can be reconciled only under very specific conditions concerning the type of growth and the income responsiveness of

  15. Stagnant Neonatal Mortality and Persistent Health Inequality in Middle-Income Countries: A Case Study of the Philippines

    Science.gov (United States)

    Kraft, Aleli D.; Nguyen, Kim-Huong; Jimenez-Soto, Eliana; Hodge, Andrew

    2013-01-01

    Background The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country’s socioeconomic-related child health inequality. Methodology Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. Findings Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. Conclusion The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality – that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system – to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child

  16. Stagnant neonatal mortality and persistent health inequality in middle-income countries: a case study of the Philippines.

    Directory of Open Access Journals (Sweden)

    Aleli D Kraft

    Full Text Available BACKGROUND: The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country's socioeconomic-related child health inequality. METHODOLOGY: Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. FINDINGS: Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education, regional location, and access to health services, such as facility-based delivery. CONCLUSION: The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality--that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system--to re-start the long term decline in neonatal mortality and to reduce persistent within

  17. Stagnant neonatal mortality and persistent health inequality in middle-income countries: a case study of the Philippines.

    Science.gov (United States)

    Kraft, Aleli D; Nguyen, Kim-Huong; Jimenez-Soto, Eliana; Hodge, Andrew

    2013-01-01

    The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country's socioeconomic-related child health inequality. Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality--that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system--to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child health.

  18. Reconsidering inequalities in preventive health care: an application of cultural health capital theory and the life-course perspective to the take-up of mammography screening.

    Science.gov (United States)

    Missinne, Sarah; Neels, Karel; Bracke, Piet

    2014-11-01

    While there are abundant descriptions of socioeconomic inequalities in preventive health care, knowledge about the true mechanisms is still lacking. Recently, the role of cultural health capital in preventive health-care inequalities has been discussed theoretically. Given substantial analogies, we explore how our understanding of cultural health capital and preventive health-care inequalities can be advanced by applying the theoretical principles and methodology of the life-course perspective. By means of event history analysis and retrospective data from the Survey of Health Ageing and Retirement, we examine the role of cultural capital and cultural health capital during childhood on the timely initiation of mammography screening in Belgium (N = 1348). In line with cumulative disadvantage theory, the results show that childhood cultural conditions are independently associated with mammography screening, even after childhood and adulthood socioeconomic position and health are controlled for. Lingering effects from childhood are suggested by the accumulation of cultural health capital that starts early in life. Inequalities in the take-up of screening are manifested as a lower probability of ever having a mammogram, rather than in the late initiation of screening. © 2014 The Authors. Sociology of Health & Illness © 2014 Foundation for the Sociology of Health & Illness/John Wiley & Sons Ltd.

  19. Social Determinants of Health in the United States: Addressing Major Health Inequality Trends for the Nation, 1935-2016.

    Science.gov (United States)

    Singh, Gopal K; Daus, Gem P; Allender, Michelle; Ramey, Christine T; Martin, Elijah K; Perry, Chrisp; Reyes, Andrew A De Los; Vedamuthu, Ivy P

    2017-01-01

    This study describes key population health concepts and examines major empirical trends in US health and healthcare inequalities from 1935 to 2016 according to important social determinants such as race/ethnicity, education, income, poverty, area deprivation, unemployment, housing, rural-urban residence, and geographic location. Long-term trend data from the National Vital Statistics System, National Health Interview Survey, National Survey of Children's Health, American Community Survey, and Behavioral Risk Factor Surveillance System were used to examine racial/ethnic, socioeconomic, rural-urban, and geographic inequalities in health and health care. Life tables, age-adjusted rates, prevalence, and risk ratios were used to examine health differentials, which were tested for statistical significance at the 0.05 level. Life expectancy of Americans increased from 69.7 years in 1950 to 78.8 years in 2015. However, despite the overall improvement, substantial gender and racial/ethnic disparities remained. In 2015, life expectancy was highest for Asian/Pacific Islanders (87.7 years) and lowest for African-Americans (75.7 years). Life expectancy was lower in rural areas and varied from 74.5 years for men in rural areas to 82.4 years for women in large metro areas, with rural-urban disparities increasing during the 1990-2014 time period. Infant mortality rates declined dramatically during the past eight decades. However, racial disparities widened over time; in 2015, black infants had 2.3 times higher mortality than white infants (11.4 vs. 4.9 per 1,000 live births). Infant and child mortality was markedly higher in rural areas and poor communities. Black infants and children in poor, rural communities had nearly three times higher mortality rate compared to those in affluent, rural areas. Racial/ethnic, socioeconomic, and geographic disparities were particularly marked in mortality and/or morbidity from cardiovascular disease, cancer, diabetes, COPD, HIV/AIDS, homicide

  20. Changing health inequalities in a changing society? Sweden in the mid-1980s and mid-1990s

    DEFF Research Database (Denmark)

    Lundberg, O; Diderichsen, F; Yngwe, M A

    2001-01-01

    . In addition, other major changes in economic and political conditions have taken place during this period, including tax reforms and EU membership. Although public health as well as health inequalities are likely to be linked with these kinds of macro changes, it is unclear what types of changes in health......Whereas the end of the 1980s was characterized by an economic boom, the early 1990s saw the worst recession since the 1930s. In Sweden, the crisis that started in the fall of 1991 and culminated in 1995 meant dramatically increased unemployment rates followed by cutbacks in welfare state programs...... and health inequalities one would expect. In this paper analyses of Swedish data on health inequalities in the periods 1986-87 and 1994-95 are undertaken on the basis of the Swedish Surveys of Living Conditions. The main finding is that overall health levels as well as differences in health between men...

  1. Health Inequities among Lesbian, Gay, and Bisexual Adults in North Carolina, 2011–2014

    Directory of Open Access Journals (Sweden)

    Melissa M. Barnhill

    2017-07-01

    Full Text Available Inequalities in health have been identified for lesbian, gay, and bisexual (LGB populations nationally. Policies in the U.S. South offer fewer protections for LGB people than in other regions, yet, limited data exist for this region. North Carolina (NC BRFSS data from 2011 to 2014 were combined (LGB n = 604; heterosexual n = 33,170 and analyzed using SAS survey procedures to estimate health characteristics by sexual orientation within gender. Many examined indicators were not different by sexual orientation, however, other results were significant and consistent with findings from state population surveys in other regions of the country. Both genders showed inequities in mental health, having over twice the odds of five or more poor mental health days in the past month and of having ever been diagnosed with a depressive disorder. Sexual minority women had higher odds compared with heterosexual women for ever having smoked cigarettes, current smoking, exposure to secondhand smoke both in the workplace and at home, and both alcohol risk factors, binge and heavy drinking. Being part of the LGB population in NC is associated with worse health. The implementation of anti-LGB policies in the NC warrants ongoing monitoring of LGB health inequities in NC and in other southeastern states for potential effects on the health and well-being of sexual minorities.

  2. Income inequality, poverty, and population health: evidence from recent data for the United States.

    Science.gov (United States)

    Ram, Rati

    2005-12-01

    In this study, state-level US data for the years 2000 and 1990 are used to provide additional evidence on the roles of income inequality and poverty in population health. Five main points are noted. First, contrary to the suggestion made in several recent studies, the income inequality parameter is observed to be quite robust and carries statistical significance in mortality equations estimated from several observation sets and a fairly wide variety of specificational choices. Second, the evidence does not indicate that significance of income inequality is lost when education variables are included. Third, similarly, the income inequality parameter shows significance when a race variable is added, and also when both race and urbanization terms are entered. Fourth, while poverty is seen to have some mortality-increasing consequence, the role of income inequality appears stronger. Fifth, income inequality retains statistical significance when a quadratic income term is added and also if the log-log version of a fairly inclusive model is estimated. I therefore suggest that the recent skepticism articulated by several scholars in regard to the robustness of the income inequality parameters in mortality equations estimated from the US data should be reconsidered.

  3. Social inequalities in "sickness"

    DEFF Research Database (Denmark)

    van der Wel, Kjetil A; Dahl, Espen; Thielen, Karsten

    2012-01-01

    In comparative studies of health inequalities, public health researchers have usually studied only disease and illness. Recent studies have also examined the sickness dimension of health, that is, the extent to which ill health is accompanied by joblessness, and how this association varies...... consistent results. They analyze data from the European Union Statistics on Income and Living Conditions (EU-SILC); health was measured by limiting longstanding illness (LLSI). Results show that for both men and women reporting LLSI in combination with low educational level, the probabilities of non......-employment were particularly high in the Anglo-Saxon and Eastern welfare regimes, and lowest in the Scandinavian regime. For men, absolute and relative social inequalities in sickness were lowest in the Southern regime; for women, inequalities were lowest in the Scandinavian regime. The authors conclude...

  4. Have health inequalities changed during childhood in the New Labour generation? Findings from the UK Millennium Cohort Study.

    Science.gov (United States)

    Rougeaux, Emeline; Hope, Steven; Law, Catherine; Pearce, Anna

    2017-01-11

    To examine how population-level socioeconomic health inequalities developed during childhood, for children born at the turn of the 21st century and who grew up with major initiatives to tackle health inequalities (under the New Labour Government). The UK. Singleton children in the Millennium Cohort Study at ages 3 (n=15 381), 5 (n=15 041), 7 (n=13 681) and 11 (n=13 112) years. Relative (prevalence ratios (PR)) and absolute health inequalities (prevalence differences (PD)) were estimated in longitudinal models by socioeconomic circumstances (SEC; using highest maternal academic attainment, ranging from 'no academic qualifications' to 'degree' (baseline)). Three health outcomes were examined: overweight (including obesity), limiting long-standing illness (LLSI), and socio-emotional difficulties (SED). Relative and absolute inequalities in overweight, across the social gradient, emerged by age 5 and increased with age. By age 11, children with mothers who had no academic qualifications were considerably more likely to be overweight as compared with those with degree-educated mothers (PR=1.6 (95% CI 1.4 to 1.8), PD=12.9% (9.1% to 16.8%)). For LLSI, inequalities emerged by age 7 and remained at 11, but only for children whose mothers had no academic qualifications (PR=1.7 (1.3 to 2.3), PD=4.8% (2% to 7.5%)). Inequalities in SED (observed across the social gradient and at all ages) declined between 3 and 11, although remained large at 11 (eg, PR=2.4 (1.9 to 2.9), PD=13.4% (10.2% to 16.7%) comparing children whose mothers had no academic qualifications with those of degree-educated mothers). Although health inequalities have been well documented in cross-sectional and trend data in the UK, it is less clear how they develop during childhood. We found that relative and absolute health inequalities persisted, and in some cases widened, for a cohort of children born at the turn of the century. Further research examining and comparing the pathways through which SECs

  5. The role of ethnic and rural discrimination in the relationship between income inequality and health in Guatemala.

    Science.gov (United States)

    Poder, Thomas G; He, Jie

    2015-01-01

    This article seeks to understand in the ways in which income inequality can affect children's health (z-score of stunting) in Guatemala. We postulate that there are several transmission channels through which income inequality can affect health and that the children's ethnic and rural origins influence the size and direction of this effect. The methodology employed is systems of simultaneous equations (three-stage least squares and generalized method of moments). Our results highlight the importance of rural and indigenous characteristics in the relationship between income inequality and child health and indicate that the most important transmission channels are household income levels and maternal education. © The Author(s) 2015 Reprints and permissions:]br]sagepub.co.uk/journalsPermissions.nav.

  6. Do unfavourable working conditions explain mental health inequalities between ethnic groups? Cross-sectional data of the HELIUS study

    NARCIS (Netherlands)

    Nieuwenhuijsen, Karen; Schene, Aart H.; Stronks, Karien; Snijder, Marieke B.; Frings-Dresen, Monique H. W.; Sluiter, Judith K.

    2015-01-01

    Ethnic inequalities in mental health have been found in many high-income countries. The purpose of this study is to test whether mental health inequalities between ethnic groups are mediated by exposure to unfavourable working conditions. Workers (n = 6278) were selected from baseline data of the

  7. Income inequality and population health: an analysis of panel data for 21 developed countries, 1975-2006.

    Science.gov (United States)

    Torre, Roberta; Myrskylä, Mikko

    2014-03-01

    The relative income-health hypothesis postulates that income distribution is an important determinant of population health, but the age and sex patterns of this association are not well known. We tested the relative income-health hypothesis using panel data collected for 21 developed countries over 30 years. Net of trends in gross domestic product per head and unobserved period and country factors, income inequality measured by the Gini index is positively associated with the mortality of males and females at ages 1-14 and 15-49, and with the mortality of females at ages 65-89 albeit less strongly than for the younger age groups. These findings suggest that policies to decrease income inequality may improve health, especially that of children and young-to-middle-aged men and women. The mechanisms behind the income inequality-mortality association remain unknown and should be the focus of future research.

  8. Intelligence: is it the epidemiologists' elusive "fundamental cause" of social class inequalities in health?

    Science.gov (United States)

    Gottfredson, Linda S

    2004-01-01

    Virtually all indicators of physical health and mental competence favor persons of higher socioeconomic status (SES). Conventional theories in the social sciences assume that the material disadvantages of lower SES are primarily responsible for these inequalities, either directly or by inducing psychosocial harm. These theories cannot explain, however, why the relation between SES and health outcomes (knowledge, behavior, morbidity, and mortality) is not only remarkably general across time, place, disease, and kind of health system but also so finely graded up the entire SES continuum. Epidemiologists have therefore posited, but not yet identified, a more general "fundamental cause" of health inequalities. This article concatenates various bodies of evidence to demonstrate that differences in general intelligence (g) may be that fundamental cause.

  9. The importance of economic, social and cultural capital in understanding health inequalities: using a Bourdieu-based approach in research on physical and mental health perceptions.

    Science.gov (United States)

    Pinxten, Wouter; Lievens, John

    2014-09-01

    In this article we adopt a Bourdieu-based approach to study social inequalities in perceptions of mental and physical health. Most research takes into account the impact of economic or social capital on health inequalities. Bourdieu, however, distinguishes between three forms of capital that can determine peoples' social position: economic, social and cultural capital. Health research examining the effects of cultural capital is scarce. By simultaneously considering and modelling indicators of each of Bourdieu's forms of capital, we further the understanding of the dynamics of health inequalities. Using data from a large-scale representative survey (N = 1825) in Flanders, Belgium, we find that each of the forms of capital has a net effect on perceptions of physical and mental health, which persists after controlling for the other forms of capital and for the effects of other correlates of perceived health. The only exception is that the cultural capital indicators are not related to mental health. These results confirm the value of a Bourdieu-based approach and indicate the need to consider economic, social and cultural capital to obtain a better understanding of social inequality in health. © 2014 The Authors. Sociology of Health & Illness © 2014 Foundation for the Sociology of Health & Illness/John Wiley & Sons Ltd.

  10. Progress in reducing inequalities in reproductive, maternal, newborn,' and child health in Latin America and the Caribbean: an unfinished agenda

    Directory of Open Access Journals (Sweden)

    María Clara Restrepo-Méndez

    2015-07-01

    Full Text Available OBJECTIVE: To expand the "Countdown to 2015" analyses of health inequalities beyond the 75 countries being monitored worldwide to include all countries in Latin America and the Caribbean (LAC that have adequate data available. METHODS: Demographic and Health Surveys and Multiple Indicator Cluster Surveys were used to monitor progress in health intervention coverage and inequalities in 13 LAC countries, five of which are included in the Countdown (Bolivia, Brazil, Guatemala, Haiti, and Peru and eight that are not (Belize, Colombia, Costa Rica, Dominican Republic, Guyana, Honduras, Nicaragua, and Suriname. The outcomes included neonatal and under-5 year mortality rates, child stunting prevalence, and the composite coverage index-a weighted average of eight indicators of coverage in reproductive, maternal, newborn, and child health. The slope index of inequality and concentration index were used to assess absolute and relative inequalities. RESULTS: The composite coverage index showed monotonic patterns over wealth quintiles, with lowest levels in the poorest quintile. Under-5 and neonatal mortality as well as stunting prevalence were highest among the poor. In most countries, intervention coverage increased, while under-5 mortality and stunting prevalence fell most rapidly among the poor, so that inequalities were reduced over time. However, Bolivia, Guatemala, Haiti, Nicaragua, and Peru still show marked inequalities. Brazil has practically eliminated inequalities in stunting. CONCLUSIONS: LAC countries presented substantial progress in terms of reducing inequalities in reproductive, maternal, newborn, and child health interventions, child mortality, and nutrition. However, the poorest 20% of the population in most countries is still lagging behind, and renewed actions are needed to improve equity.

  11. Progress in reducing inequalities in reproductive, maternal, newborn,' and child health in Latin America and the Caribbean: an unfinished agenda.

    Science.gov (United States)

    Restrepo-Méndez, María Clara; Barros, Aluísio J D; Requejo, Jennifer; Durán, Pablo; Serpa, Luis Andrés de Francisco; França, Giovanny V A; Wehrmeister, Fernando C; Victora, Cesar G

    2015-07-01

    To expand the "Countdown to 2015" analyses of health inequalities beyond the 75 countries being monitored worldwide to include all countries in Latin America and the Caribbean (LAC) that have adequate data available. Demographic and Health Surveys and Multiple Indicator Cluster Surveys were used to monitor progress in health intervention coverage and inequalities in 13 LAC countries, five of which are included in the Countdown (Bolivia, Brazil, Guatemala, Haiti, and Peru) and eight that are not (Belize, Colombia, Costa Rica, Dominican Republic, Guyana, Honduras, Nicaragua, and Suriname). The outcomes included neonatal and under-5 year mortality rates, child stunting prevalence, and the composite coverage index-a weighted average of eight indicators of coverage in reproductive, maternal, newborn, and child health. The slope index of inequality and concentration index were used to assess absolute and relative inequalities. The composite coverage index showed monotonic patterns over wealth quintiles, with lowest levels in the poorest quintile. Under-5 and neonatal mortality as well as stunting prevalence were highest among the poor. In most countries, intervention coverage increased, while under-5 mortality and stunting prevalence fell most rapidly among the poor, so that inequalities were reduced over time. However, Bolivia, Guatemala, Haiti, Nicaragua, and Peru still show marked inequalities. Brazil has practically eliminated inequalities in stunting. LAC countries presented substantial progress in terms of reducing inequalities in reproductive, maternal, newborn, and child health interventions, child mortality, and nutrition. However, the poorest 20% of the population in most countries is still lagging behind, and renewed actions are needed to improve equity.

  12. Health Inequities and HIV, Viral Hepatitis, TB, and STDs

    Centers for Disease Control (CDC) Podcasts

    2010-09-15

    Dr. Kevin A. Fenton, Director of CDC's National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), discusses health inequities in the United States and how NCHHSTP research, policies, and programs can address them.  Created: 9/15/2010 by National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention.   Date Released: 9/15/2010.

  13. Unemployment, informal work, precarious employment, child labor, slavery, and health inequalities: pathways and mechanisms.

    Science.gov (United States)

    Muntaner, Carles; Solar, Orielle; Vanroelen, Christophe; Martínez, José Miguel; Vergara, Montserrat; Santana, Vilma; Castedo, Antía; Kim, Il-Ho; Benach, Joan

    2010-01-01

    The study explores the pathways and mechanisms of the relation between employment conditions and health inequalities. A significant amount of published research has proved that workers in several risky types of labor--precarious employment, unemployment, informal labor, child and bonded labor--are exposed to behavioral, psychosocial, and physio-pathological pathways leading to physical and mental health problems. Other pathways, linking employment to health inequalities, are closely connected to hazardous working conditions (material and social deprivation, lack of social protection, and job insecurity), excessive demands, and unattainable work effort, with little power and few rewards (in salaries, fringe benefits, or job stability). Differences across countries in the social contexts and types of jobs result in varying pathways, but the general conceptual model suggests that formal and informal power relations between employees and employers can determine health conditions. In addition, welfare state regimes (unionization and employment protection) can increase or decrease the risk of mortality, morbidity, and occupational injury. In a multilevel context, however, these micro- and macro-level pathways have yet to be fully studied, especially in middle- and low-income countries. The authors recommend some future areas of study on the pathways leading to employment-related health inequalities, using worldwide standard definitions of the different forms of labor, authentic data, and a theoretical framework.

  14. Economic and social distance: Perceived income inequality negatively predicts an interdependent self-construal.

    Science.gov (United States)

    Sánchez-Rodríguez, Ángel; Willis, Guillermo B; Rodríguez-Bailón, Rosa

    2017-07-03

    Previous research has shown that economic inequality influences how people are related with others. In this article, we suggest that perceived economic inequality influences self-construal. Specifically, we propose that higher economic inequality leads to an independent self-construal, whereas lower economic inequality leads to an interdependent self-construal. Correlational data from Studies 1a and 1b revealed that people who perceive lower levels of economic inequality tend to show higher levels of interdependent self-construal, even after controlling for social class. In Study 2, using an experimental design, we found that perceived high economic inequality leads to a more independent and less interdependent self-construal compared to the low economic inequality condition. These results expand the literature bridging the gap between a macro-social factor, such as economic inequality, and a micro-social factor, such as self-construal. © 2017 International Union of Psychological Science.

  15. Socio-Economic Status or Caste? Inequities in Maternal and Newborn Health Care in Rural Uttar Pradesh, India

    OpenAIRE

    Gautham, Meenakshi

    2016-01-01

    Many inequities in the coverage of essential interventions in pregnancy, childbirth and newborn and child health, especially those that require contact with the health system, persist within countries. \\ud \\ud Although economic inequities may be the most visible and profound, there can be other sources of social disadvantage. \\ud \\ud Poverty and caste are important determinants of health, including maternal healthcare. \\ud \\ud IDEAS conducted a descriptive analysis of socio-economic and caste...

  16. The healthy ancestor: embodied inequality and the revitalization of native Hawaiian health

    National Research Council Canada - National Science Library

    McMullin, Juliet Marie

    2010-01-01

    ..." enjoyed by the "mainstream" population. Challenging this dominant approach to indigenous health, Juliet McMullin shows how it masks more fundamental inequalities that become literally embodied in Native Americans, shifting blame...

  17. Inequality in the use of maternal and child health services in the Philippines: do pro-poor health policies result in more equitable use of services?

    Science.gov (United States)

    Paredes, Karlo Paolo P

    2016-11-10

    The Philippines failed to achieve its Millennium Development Goal (MDG) commitment to reduce maternal deaths by three quarters. This, together with the recently launched Sustainable Development Goals (SDGs), reinforces the need for the country to keep up in improving reach of maternal and child health (MCH) services. Inequitable use of health services is a risk factor for the differences in health outcomes across socio-economic groups. This study aims to explore the extent of inequities in the use of MCH services in the Philippines after pro-poor national health policy reforms. This paper uses data from the 2008 and 2013 Demographic and Health Survey (DHS) in the Philippines. Socio-economic inequality in MCH services use was measured using the concentration index. The concentration index was also decomposed in order to examine the contribution of different factors to the inequalities in the use of MCH services. In absolute figures, women who delivered in facilities increased from 2008 to 2013. Little change was noted for women who received complete antenatal care and caesarean births. Facility deliveries remain pro-rich although a pro-poor shift was noted. Women who received complete antenatal care services also remain concentrated to the rich. Further, there is a highly pro-rich inequality in caesarean deliveries which did not change much from 2008 to 2013. Household income remains as the most important contributor to the resulting inequalities in health services use, followed by maternal education. For complete antenatal care use and deliveries in government facilities, regional differences also showed to have important contribution. The findings suggest inequality in the use of MCH services had limited pro-poor improvements. Household income remains to be the major driver of inequities in MCH services use in the Philippines. This is despite the recent national government-led subsidy for the health insurance of the poor. The highly pro-rich caesarean deliveries

  18. Reducing social inequalities in health: work-related strategies.

    Science.gov (United States)

    Siegrist, Johannes

    2002-01-01

    Despite reduced health risks in terms of physical and chemical hazards current trends in occupational life continue to contribute to ill health and disease among economically active people. Stress at work plays a crucial role in this respect, as evidenced by recent scientific progress. This paper discusses two leading theoretical models of work-related stress, the demand-control model and the model of effort-reward imbalance, and it summarizes available evidence on adverse health effects. As work stress in terms of these models is more prevalent among lower socioeconomic status groups, these conditions contribute to the explanation of socially graded risks of morbidity and mortality in midlife. Implications of this new knowledge for the design and implementation of worksite health-promotion measures are elaborated. In conclusion, it is argued that workplace strategies deserve high priority on any agenda that aims at reducing social inequalities in health.

  19. Social class inequalities in the utilization of health care and preventive services in Spain, a country with a national health system.

    Science.gov (United States)

    Garrido-Cumbrera, Marco; Borrell, Carme; Palència, Laia; Espelt, Albert; Rodríguez-Sanz, Maica; Pasarín, M Isabel; Kunst, Anton

    2010-01-01

    In Spain, despite the existence of a National Health System (NHS), the utilization of some curative health services is related to social class. This study assesses (1) whether these inequalities are also observed for preventive health services and (2) the role of additional private health insurance for people of advantaged social classes. Using data from the Spanish National Health Survey of 2006, the authors analyze the relationships between social class and use of health services by means of Poisson regression models with robust variance, controlling for self-assessed health. Similar analyses were performed for waiting times for visits to a general practitioner (GP) and specialist. After controlling for self-perceived health, men and women from social classes IV-V had a higher probability of visiting the GP than other social classes, but a lower probability of visiting a specialist or dentist. No large class differences were observed in frequency of hospitalization or emergency services use, or in breast cancer screening or influenza vaccination; cervical cancer screening frequency was lower among women from social classes IV-V. The inequalities in specialist visits, dentist visits, and cervical cancer screening were larger among people with only NHS insurance than those with double health insurance. Social class differences in waiting times were observed for specialist visits, but not for GP visits. Men and women from social classes IV-V had longer waits for a specialist; this was most marked among people with only NHS insurance. Clearly, within the NHS, social class inequalities are still evident for some curative and preventive services. Further research is needed to identify the factors driving these inequalities and to tackle these factors from within the NHS. Priority areas include specialist services, dental care, and cervical cancer screening.

  20. The Impact of Out-of-Pocket Payments on Health Care Inequity: The Case of National Health Insurance in South Korea

    Directory of Open Access Journals (Sweden)

    Weon-Young Lee

    2014-07-01

    Full Text Available The global financial crisis of 2008 has led to the reinforcement of patient cost sharing in health care policy. This study aimed to explore the impact of direct out-of pocket payments (OOPs on health care utilization and the resulting financial burden across income groups under the South Korean National Health Insurance (NHI program with universal population coverage. We used the fourth Korean National Health and Nutrition Examination Survey (KNHNES-IV and the Korean Household Income and Expenditure Survey (KHIES of 2007, 2008 and 2009. The Horizontal Inequity Index (HIwv and the average unit OOPs were used to measure income-related inequity in the quantitative and qualitative aspects of health care utilization, respectively. For financial burden, the incidence rates of catastrophic health expenditure (CHE were compared across income groups. For outpatient and hospital visits, there was neither pro-poor or pro-rich inequality. The average unit OOPs of the poorest quintile was approximately 75% and 60% of each counterpart in the richest quintile in the outpatient and inpatient services. For the CHE threshold of 40%, the incidence rates were 5.7%, 1.67%, 0.72%, 0.33% and 0.27% in quintiles I (the poorest quintile, II, III, IV and V, respectively. Substantial OOPs under the NHI are disadvantageous, particularly for the lowest income group in terms of health care quality and financial burden.

  1. Education-based health inequalities in 18,000 Norwegian couples: the Nord-Trøndelag Health Study (HUNT

    Directory of Open Access Journals (Sweden)

    Nilsen Sara

    2012-11-01

    Full Text Available Abstract Background Education-based inequalities in health are well established, but they are usually studied from an individual perspective. However, many individuals are part of a couple. We studied education-based health inequalities from the perspective of couples where indicators of health were measured by subjective health, anxiety and depression. Methods A sample of 35,980 women and men (17,990 couples was derived from the Norwegian Nord-Trøndelag Health Study 1995–97 (HUNT 2. Educational data and family identification numbers were obtained from Statistics Norway. The dependent variables were subjective health (four-integer scale, anxiety (21-integer scale and depression (21-integer scale, which were captured using the Hospital Anxiety and Depression Scale. The dependent variables were rescaled from 0 to 100 where 100 was the worst score. Cross-sectional analyses were performed using two-level linear random effect regression models. Results The variance attributable to the couple level was 42% for education, 16% for subjective health, 19% for anxiety and 25% for depression. A one-year increase in education relative to that of one’s partner was associated with an improvement of 0.6 scale points (95% confidence interval = 0.5–0.8 in the subjective health score (within-couple coefficient. A one-year increase in a couple’s average education was associated with an improvement of 1.7 scale points (95% confidence interval = 1.6–1.8 in the subjective health score (between-couple coefficient. There were no education-based differences in the anxiety or depression scores when partners were compared, whereas there were substantial education-based differences between couples in all three outcome measures. Conclusions We found considerable clustering of education and health within couples, which highlighted the importance of the family environment. Our results support previous studies that report the mutual effects of spouses on

  2. Socioeconomic inequities in the health and nutrition of children in low/middle income countries

    OpenAIRE

    Barros, Fernando C; Victora, Cesar G; Scherpbier, Robert; Gwatkin, Davidson

    2010-01-01

    OBJECTIVE: To describe the effects of social inequities on the health and nutrition of children in low and middle income countries. METHODS: We reviewed existing data on socioeconomic disparities within-countries relative to the use of services, nutritional status, morbidity, and mortality. A conceptual framework including five major hierarchical categories affecting inequities was adopted: socioeconomic context and position, differential exposure, differential vulnerability, differential hea...

  3. Socioeconomic inequalities in dental health among middle-aged adults and the role of behavioral and psychosocial factors: evidence from the Spanish National Health Survey.

    Science.gov (United States)

    Capurro, Diego Alberto; Davidsen, Michael

    2017-02-16

    The goal of this analysis was to describe socioeconomic inequalities in dental health among Spanish middle-aged adults, and the role of behavioral and psychosocial factors in explaining these inequalities. This cross-sectional study used survey data from the 2006 Spanish National Health Survey and focused on adults ages 30 - 64. The outcome was dental health status based on the presence of self-reported dental problems. We used education, income, and occupational class as indicators of socioeconomic position and applied logistic regression analysis to estimate associations. We included behavioral and psychosocial variables in the models and compared non-adjusted to adjusted estimates to assess their potential role in explaining socioeconomic gradients. Results showed clear socioeconomic gradients in dental health among middle-aged adults. The percentage of people who reported more dental problems increased among those with lower levels of education, income, and occupation. These gradients were statistically significant (p socioeconomic position. Substantial unexplained associations remained significant after adjusting the model by behavioral and psychosocial variables. This study shows significant socioeconomic gradients in dental health among middle-aged adults in Spain. Behavioral and psychosocial variables were insufficient to explain the inequalities described, suggesting the intervention of other factors. Further research should incorporate additional explanations to better understand and comprehensively address socioeconomic inequalities in dental health.

  4. Education policies and health inequalities: evidence from changes in the distribution of Body Mass Index in France, 1981-2003.

    Science.gov (United States)

    Etile, Fabrice

    2014-03-01

    This paper contributes to the debate over the effectiveness of education policies in reducing overall health inequalities as compared to public health actions directed at the less-educated. Recentered Influence Function (RIF) regressions are used to decompose the contribution of education to the changing distribution of Body Mass Index (BMI) in France, between 1981 and 2003, into a composition effect (the shift in population education due to a massive educational expansion), and a structure effect (a changing educational gradient in BMI). Educational expansion has reduced overall BMI inequality by 3.4% for women and 2.3% for men. However, the structure effect on its own has produced a 10.9% increase in overall inequality for women, due to a steeper education gradient starting from the second quartile of the distribution. This structure effect on overall inequality is also large (7.6%) for men, albeit insignificant as it remains concentrated in the last decile. Educational expansion policies can thus reduce overall BMI inequalities; but attention must still be paid to the BMI gradient in education even for policies addressing overall rather than socioeconomic health inequalities. Copyright © 2013 Elsevier B.V. All rights reserved.

  5. Has India's national rural health mission reduced inequities in maternal health services? A pre-post repeated cross-sectional study.

    Science.gov (United States)

    Vellakkal, Sukumar; Gupta, Adyya; Khan, Zaky; Stuckler, David; Reeves, Aaron; Ebrahim, Shah; Bowling, Ann; Doyle, Pat

    2017-02-01

    In 2005, India launched the National Rural Health Mission (NRHM) to strengthen the primary healthcare system. NRHM also aims to encourage pregnant women, particularly of low socioeconomic backgrounds, to use institutional maternal healthcare. We evaluated the impacts of NRHM on socioeconomic inequities in the uptake of institutional delivery and antenatal care (ANC) across high-focus (deprived) Indian states. Data from District Level Household and Facility Surveys (DLHS) Rounds 1 (1995-99) and 2 (2000-04) from the pre-NRHM period, and Round 3 (2007-08), Round 4 and Annual Health Survey (2011-12) from post-NRHM period were used. Wealth-related and education-related relative indexes of inequality, and pre-post difference-in-differences models for wealth and education tertiles, adjusted for maternal age, rural-urban, caste, parity and state-level fixed effects, were estimated. Inequities in institutional delivery declined between pre-NRHM Period 1 (1995-99) and pre-NRHM Period 2 (2000-04), but thereafter demonstrated steeper decline in post-NRHM periods. Uptake of institutional delivery increased among all socioeconomic groups, with (1) greater effects among the lowest and middle wealth and education tertiles than highest tertile, and (2) larger equity impacts in the late post-NRHM period 2011-12 than in the early post-NRHM period 2007-08. No positive impact on the uptake of ANC was found in the early post-NRHM period 2007-08; however, there was considerable increase in the uptake of, and decline in inequity, in uptake of ANC in most states in the late post-NRHM period 2011-12. In high-focus states, NRHM resulted in increased uptake of maternal healthcare, and decline in its socioeconomic inequity. Our study suggests that public health programs in developing country settings will have larger equity impacts after its almost full implementation and widest outreach. Targeting deprived populations and designing public health programs by linking maternal and child

  6. The Pan-University Network for Global Health: framework for collaboration and review of global health needs.

    Science.gov (United States)

    Winchester, M S; BeLue, R; Oni, T; Wittwer-Backofen, U; Deobagkar, D; Onya, H; Samuels, T A; Matthews, S A; Stone, C; Airhihenbuwa, C

    2016-04-21

    In the current United Nations efforts to plan for post 2015-Millennium Development Goals, global partnership to address non-communicable diseases (NCDs) has become a critical goal to effectively respond to the complex global challenges of which inequity in health remains a persistent challenge. Building capacity in terms of well-equipped local researchers and service providers is a key to bridging the inequity in global health. Launched by Penn State University in 2014, the Pan University Network for Global Health responds to this need by bridging researchers at more than 10 universities across the globe. In this paper we outline our framework for international and interdisciplinary collaboration, as well the rationale for our research areas, including a review of these two themes. After its initial meeting, the network has established two central thematic priorities: 1) urbanization and health and 2) the intersection of infectious diseases and NCDs. The urban population in the global south will nearly double in 25 years (approx. 2 billion today to over 3.5 billion by 2040). Urban population growth will have a direct impact on global health, and this growth will be burdened with uneven development and the persistence of urban spatial inequality, including health disparities. The NCD burden, which includes conditions such as hypertension, stroke, and diabetes, is outstripping infectious disease in countries in the global south that are considered to be disproportionately burdened by infectious diseases. Addressing these two priorities demands an interdisciplinary and multi-institutional model to stimulate innovation and synergy that will influence the overall framing of research questions as well as the integration and coordination of research.

  7. Health of midlife and older adults in China: the role of regional economic development, inequality, and institutional setting.

    Science.gov (United States)

    Ding, Xuejie; Billari, Francesco C; Gietel-Basten, Stuart

    2017-11-01

    To document the association between economic development, income inequality, and health-related public infrastructure, and health outcomes among Chinese adults in midlife and older age. We use a series of multi-level regression models with individual-level baseline data from the China Health and Retirement Longitudinal Survey (CHARLS). Provincial-level data are obtained both from official statistics and from CHARLS itself. Multi-level models are estimated with different subjective and objective health outcomes. Economic growth is associated with better self-rated health, but also with obesity. Better health infrastructure tends to be negatively associated with health outcomes, indicating the likely presence of reverse causality. No supportive evidence is found for the hypothesis that income inequality leads to worse health outcomes. Our study shows that on top of individual characteristics, provincial variations in economic development, income inequality, and health infrastructure are associated with a range of health outcomes for Chinese midlife and older adults. Economic development in China might also bring adverse health outcomes for this age group; as such specific policy responses need to be developed.

  8. Training needs for research in health inequities among health and demographic researchers from eight African and Asian countries

    NARCIS (Netherlands)

    Haafkens, J.; Blomstedt, Y.; Eriksson, M.; Becher, H.; Ramroth, H.; Kinsman, J.

    2014-01-01

    Background: Health equity is a global policy priority. To support this policy in low and middle income countries, more evidence and analysis of the social determinants of health inequalities is needed. This requires specific know how among researchers. The INDEPTH Training and Research Centres of

  9. [Study protocol on the effect of the economic crisis on mortality and reproductive health and health inequalities in Spain].

    Science.gov (United States)

    Pérez, Glòria; Gotsens, Mercè; Palència, Laia; Marí-Dell'Olmo, Marc; Domínguez-Berjón, M Felicitas; Rodríguez-Sanz, Maica; Puig, Vanessa; Bartoll, Xavier; Gandarillas, Ana; Martín, Unai; Bacigalupe, Amaia; Díez, Elia; Ruiz, Miguel; Esnaola, Santiago; Calvo, Montserrat; Sánchez, Pablo; Luque Fernández, Miguel Ángel; Borrell, Carme

    The aim is to present the protocol of the two sub-studies on the effect of the economic crisis on mortality and reproductive health and health inequalities in Spain. Substudy 1: describe the evolution of mortality and reproductive health between 1990 and 2013 through a longitudinal ecological study in the Autonomous Communities. This study will identify changes caused by the economic crisis in trends or reproductive health and mortality indicators using panel data (17 Autonomous Communities per study year) and adjusting Poisson models with random effects variance. Substudy 2: analyse inequalities by socioeconomic deprivation in mortality and reproductive health in several areas of Spain. An ecological study analysing trends in the pre-crisis (1999-2003 and 2004-2008) and crisis (2009-2013) periods will be performed. Random effects models Besag York and Mollié will be adjusted to estimate mortality indicators softened in reproductive health and census tracts. Copyright © 2016 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  10. Income-related inequality in health insurance coverage: analysis of China Health and Nutrition Survey of 2006 and 2009

    Directory of Open Access Journals (Sweden)

    Liu Jinan

    2012-08-01

    Full Text Available Abstract Introduction China introduced the urban resident basic medical insurance (URBMI in 2007 to cover children and urban unemployed adults, in addition to the new cooperative medical scheme (NCMS for rural residents in 2003 and the basic health insurance scheme (BHIS for urban employees in 1998. This study examined whether the overall income-related inequality in health insurance coverage improved during 2006 and 2009 in China. Methods The China Health and Nutrition Survey (CHNS data of 2006 and 2009 were used to create the concentration curve and the concentration index. GEE logistic regression was used to model the health insurance coverage as dependent variable and household income per capita as independent variable, controlling for individuals' age, gender, marital status, educational attainment, employment status, year 2009 (Y2009, household size, retirement status, and geographic variations. The change in the income-related inequality in 2009 was estimated using the interaction term of income*Y2009. Results In 2006, 49.7% (4,712/9,476 respondents had health insurance: 13.4% with BHIS and 28.4% with NCMS. In 2009, 90.8% (8,964/9,863 had health insurance: 10.1% with URBMI, 18.3% with BHIS, and 57.6% with NCMS. The BHIS, URBMI, and NCMS programs had different patterns of population coverage over 10 income deciles. The concentration index was 0.15 in 2006 and 0.04 in 2009. The dominance test showed that the concentration curves were significantly different between 2006 and 2009 (p  Discussions Comparing 2009 to 2006, the income inequality in health insurance coverage was largely corrected in China through rapid expansion of CHNS in rural areas and initiation of URBMI in urban areas.

  11. Integrated system of structural health monitoring and intelligent management for a cable-stayed bridge.

    Science.gov (United States)

    Chen, Bin; Wang, Xu; Sun, Dezhang; Xie, Xu

    2014-01-01

    It is essential to construct structural health monitoring systems for large important bridges. Zhijiang Bridge is a cable-stayed bridge that was built recently over the Hangzhou Qiantang River (the largest river in Zhejiang Province). The length of Zhijiang Bridge is 478 m, which comprises an arched twin-tower space and a twin-cable plane structure. As an example, the present study describes the integrated system of structural health monitoring and intelligent management for Zhijiang Bridge, which comprises an information acquisition system, data management system, evaluation and decision-making system, and application service system. The monitoring components include the working environment of the bridge and various factors that affect bridge safety, such as the stress and strain of the main bridge structure, vibration, cable force, temperature, and wind speed. In addition, the integrated system includes a forecasting and decision-making module for real-time online evaluation, which provides warnings and makes decisions based on the monitoring information. From this, the monitoring information, evaluation results, maintenance decisions, and warning information can be input simultaneously into the bridge monitoring center and traffic emergency center to share the monitoring data, thereby facilitating evaluations and decision making using the system.

  12. Child health inequities in developing countries: differences across urban and rural areas.

    Science.gov (United States)

    Fotso, Jean-Christophe

    2006-07-11

    To document and compare the magnitude of inequities in child malnutrition across urban and rural areas, and to investigate the extent to which within-urban disparities in child malnutrition are accounted for by the characteristics of communities, households and individuals. The most recent data sets available from the Demographic and Health Surveys (DHS) of 15 countries in sub-Saharan Africa (SSA) are used. The selection criteria were set to ensure that the number of countries, their geographical spread across Western/Central and Eastern/Southern Africa, and their socioeconomic diversities, constitute a good yardstick for the region and allow us to draw some generalizations. A household wealth index is constructed in each country and area (urban, rural), and the odds ratio between its uppermost and lowermost category, derived from multilevel logistic models, is used as a measure of socioeconomic inequalities. Control variables include mother's and father's education, community socioeconomic status (SES) designed to represent the broad socio-economic ecology of the neighborhoods in which families live, and relevant mother- and child-level covariates. Across countries in SSA, though socioeconomic inequalities in stunting do exist in both urban and rural areas, they are significantly larger in urban areas. Intra-urban differences in child malnutrition are larger than overall urban-rural differentials in child malnutrition, and there seem to be no visible relationships between within-urban inequities in child health on the one hand, and urban population growth, urban malnutrition, or overall rural-urban differentials in malnutrition, on the other. Finally, maternal and father's education, community SES and other measurable covariates at the mother and child levels only explain a slight part of the within-urban differences in child malnutrition. The urban advantage in health masks enormous disparities between the poor and the non-poor in urban areas of SSA. Specific

  13. Inequality of Opportunity and Income Inequality in Nine Chinese Provinces, 1989-2006

    DEFF Research Database (Denmark)

    Eriksson, Tor Viking; Zhang, Yingqiang

    2010-01-01

    's own choices (''effort''). What is the relationship between income inequality and inequality of opportunity? For this purpose we use data from the China Health and Nutrition Survey collected from nine provinces during the period 1989 to 2006. The CHNS has detailed information about incomes and other...... factors enabling us to construct a host of circumstance and effort variables for the offspring. We find that China has a substantial degree of inequality of opportunity. Parental income and parents' type of employer explain about two thirds of the total inequality of opportunity. Notably, parental...

  14. Regional inequalities in self-rated health and disability in younger and older generations in Turkey: the contribution of wealth and education.

    Science.gov (United States)

    Ergin, Isil; Kunst, Anton E

    2015-09-29

    In Turkey, large regional inequalities were found in maternal and child health. Yet, evidence on regional inequalities in adult health in Turkey remains fragmentary. This study aims to assess regional and rural/urban inequalities in the prevalence of poor self-rated health and in disability among adult populations in Turkey, and to measure the contribution of education and wealth of individual residents. The central hypothesis was that geographical inequalities in adult health exist even when the effect of education and wealth were taken into account. We analyzed data of the 2002 World Health Survey for Turkey on 10791 adults aged 20 years and over. We measured respondents' rating of their own general health and the prevalence of five types of physical disability. Logistic regression was used to estimate how much these two health outcomes varied according to urban/rural place of residence, region, education level and household wealth. We stratified the analyses by gender and age (‹50 and ≥50 years). Both health outcomes were strongly associated with educational level (especially for older age group) and with household wealth (especially for younger age group). Both health outcomes also varied according to region and rural/urban place of residence. Higher prevalence rates were observed in the East region (compared to West) with odd ratios varying between 1.40-2.76. After controlling for education and wealth, urban/rural differences in health disappeared, while regional differences were observed only among older women. The prevalence of poor self-rated health was higher for older women in the Middle (OR = 1.69), Black Sea (OR = 1.53) and East (OR = 2.06) regions. In Turkey, substantial geographical inequalities in self-reported adult health do exist, but can mostly be explained by differences in socioeconomic characteristics of residents. The regional disadvantage of older women in the East, Middle and Black Sea may have resulted from life

  15. Social inequalities in 'sickness'

    DEFF Research Database (Denmark)

    Wel, Kjetil A. van der; Dahl, Espen; Thielen, Karsten

    2011-01-01

    The aim of this paper is to examine educational inequalities in the risk of non-employment among people with illnesses and how they vary between European countries with different welfare state characteristics. In doing so, the paper adds to the growing literature on welfare states and social...... from Eurostat and OECD that include spending on active labour market policies, benefit generosity, income inequality, and employment protection. Using multilevel techniques we find that comprehensive welfare states have lower absolute and relative social inequalities in sickness, as well as more...... inequalities in health by studying the often overlooked ‘sickness’-dimension of health, namely employment behaviour among people with illnesses. We use European Union Statistics on Income and Living Conditions (EU-SILC) data from 2005 covering 26 European countries linked to country characteristics derived...

  16. Health as freedom: addressing social determinants of global health inequities through the human right to development.

    Science.gov (United States)

    Fox, Ashley M; Meier, Benjamin Mason

    2009-02-01

    In spite of vast global improvements in living standards, health, and well-being, the persistence of absolute poverty and its attendant maladies remains an unsettling fact of life for billions around the world and constitutes the primary cause for the failure of developing states to improve the health of their peoples. While economic development in developing countries is necessary to provide for underlying determinants of health--most prominently, poverty reduction and the building of comprehensive primary health systems--inequalities in power within the international economic order and the spread of neoliberal development policy limit the ability of developing states to develop economically and realize public goods for health. With neoliberal development policies impacting entire societies, the collective right to development, as compared with an individual rights-based approach to development, offers a framework by which to restructure this system to realize social determinants of health. The right to development, working through a vector of rights, can address social determinants of health, obligating states and the international community to support public health systems while reducing inequities in health through poverty-reducing economic growth. At an international level, where the ability of states to develop economically and to realize public goods through public health systems is constrained by international financial institutions, the implementation of the right to development enables a restructuring of international institutions and foreign-aid programs, allowing states to enter development debates with a right to cooperation from other states, not simply a cry for charity.

  17. Socioeconomic status and health inequalities for cardiovascular prevention among elderly Spaniards.

    Science.gov (United States)

    Mejía-Lancheros, Cília; Estruch, Ramón; Martínez-González, Miguel A; Salas-Salvadó, Jordi; Corella, Dolores; Gómez-Gracia, Enrique; Fiol, Miquel; Lapetra, José; Covas, Maria I; Arós, Fernando; Serra-Majem, Lluís; Pintó, Xavier; Basora, Josep; Sorlí, José V; Muñoz, Miguel A

    2013-10-01

    Although it is known that social factors may introduce inequalities in cardiovascular health, data on the role of socioeconomic differences in the prescription of preventive treatment are scarce. We aimed to assess the relationship between the socioeconomic status of an elderly population at high cardiovascular risk and inequalities in receiving primary cardiovascular treatment, within the context of a universal health care system. Cross-sectional study of 7447 individuals with high cardiovascular risk (57.5% women, mean age 67 years) who participated in the PREDIMED study, a clinical trial of nutritional interventions for cardiovascular prevention. Educational attainment was used as the indicator of socioeconomic status to evaluate differences in pharmacological treatment received for hypertension, diabetes, and dyslipidemia. Participants with the lowest socioeconomic status were more frequently women, older, overweight, sedentary, and less adherent to the Mediterranean dietary pattern. They were, however, less likely to smoke and drink alcohol. This socioeconomic subgroup had a higher proportion of coexisting cardiovascular risk factors. Multivariate analysis of the whole population found no differences between participants with middle and low levels of education in the drug treatment prescribed for 3 major cardiovascular risk factors (odds ratio [95% confidence interval]): hypertension (0.75 [0.56-1.00] vs 0.85 [0.65-1.10]); diabetic participants (0.86 [0.61-1.22] vs 0.90 [0.67-1.22]); and dyslipidemia (0.93 [0.75-1.15] vs 0.99 [0.82-1.19], respectively). In our analysis, socioeconomic differences did not affect the treatment prescribed for primary cardiovascular prevention in elderly patients in Spain. Free, universal health care based on a primary care model can be effective in reducing health inequalities related to socioeconomic status. Copyright © 2013 Sociedad Española de Cardiología. Published by Elsevier Espana. All rights reserved.

  18. International cooperation to conquer global inequities in reproductive health.

    Science.gov (United States)

    1992-01-01

    The effect of population growth is not limited to national boundaries. Indeed the inability of people in developing countries to control their own fertility has repercussions on global security and on the balance between population and environment as well a on their health and welfare. All nations need to take steps to slow down rapid population growth now, otherwise we will suffer serious consequences. The different between 2 UN projections of world population equals current world population size. Almost 90% of the increase of the larger projection would occur in developing countries, yet they are the least capable of managing big populations. Further major inequalities in reproductive health between developed and developing countries, as well as between men and women exist. The infant mortality rate in developed regions is around 6 times lower than it is in developing regions, child mortality is 7 times lower, and maternal mortality is 15 times lower. International collaboration to rid the world of these inequalities is need to improve reproductive health. Specifically, political and health leaders should mobilize necessary international and national resources. Even though there is more than US $50,000 million in official development assistance funds available annually, the level of population related funding has decreased to less than 1.1% of these funds for 1993-1994. Developed countries could reduce the debt burden to free funds for population activities and to reverse the flow from the poor countries in the Southern Hemisphere to the rich countries in the Northern Hemisphere. Besides developing countries spend much of their money on the military (e.g. sub-Saharan Africa spends US$ 10,000 million). International cooperation leading to peace would make significantly more money available for the social and health sectors, especially reproductive health care.

  19. Assessing the impact of natural policy experiments on socioeconomic inequalities in health: how to apply commonly used quantitative analytical methods?

    Directory of Open Access Journals (Sweden)

    Yannan Hu

    2017-04-01

    Full Text Available Abstract Background The scientific evidence-base for policies to tackle health inequalities is limited. Natural policy experiments (NPE have drawn increasing attention as a means to evaluating the effects of policies on health. Several analytical methods can be used to evaluate the outcomes of NPEs in terms of average population health, but it is unclear whether they can also be used to assess the outcomes of NPEs in terms of health inequalities. The aim of this study therefore was to assess whether, and to demonstrate how, a number of commonly used analytical methods for the evaluation of NPEs can be applied to quantify the effect of policies on health inequalities. Methods We identified seven quantitative analytical methods for the evaluation of NPEs: regression adjustment, propensity score matching, difference-in-differences analysis, fixed effects analysis, instrumental variable analysis, regression discontinuity and interrupted time-series. We assessed whether these methods can be used to quantify the effect of policies on the magnitude of health inequalities either by conducting a stratified analysis or by including an interaction term, and illustrated both approaches in a fictitious numerical example. Results All seven methods can be used to quantify the equity impact of policies on absolute and relative inequalities in health by conducting an analysis stratified by socioeconomic position, and all but one (propensity score matching can be used to quantify equity impacts by inclusion of an interaction term between socioeconomic position and policy exposure. Conclusion Methods commonly used in economics and econometrics for the evaluation of NPEs can also be applied to assess the equity impact of policies, and our illustrations provide guidance on how to do this appropriately. The low external validity of results from instrumental variable analysis and regression discontinuity makes these methods less desirable for assessing policy effects

  20. Assessing the impact of natural policy experiments on socioeconomic inequalities in health: how to apply commonly used quantitative analytical methods?

    Science.gov (United States)

    Hu, Yannan; van Lenthe, Frank J; Hoffmann, Rasmus; van Hedel, Karen; Mackenbach, Johan P

    2017-04-20

    The scientific evidence-base for policies to tackle health inequalities is limited. Natural policy experiments (NPE) have drawn increasing attention as a means to evaluating the effects of policies on health. Several analytical methods can be used to evaluate the outcomes of NPEs in terms of average population health, but it is unclear whether they can also be used to assess the outcomes of NPEs in terms of health inequalities. The aim of this study therefore was to assess whether, and to demonstrate how, a number of commonly used analytical methods for the evaluation of NPEs can be applied to quantify the effect of policies on health inequalities. We identified seven quantitative analytical methods for the evaluation of NPEs: regression adjustment, propensity score matching, difference-in-differences analysis, fixed effects analysis, instrumental variable analysis, regression discontinuity and interrupted time-series. We assessed whether these methods can be used to quantify the effect of policies on the magnitude of health inequalities either by conducting a stratified analysis or by including an interaction term, and illustrated both approaches in a fictitious numerical example. All seven methods can be used to quantify the equity impact of policies on absolute and relative inequalities in health by conducting an analysis stratified by socioeconomic position, and all but one (propensity score matching) can be used to quantify equity impacts by inclusion of an interaction term between socioeconomic position and policy exposure. Methods commonly used in economics and econometrics for the evaluation of NPEs can also be applied to assess the equity impact of policies, and our illustrations provide guidance on how to do this appropriately. The low external validity of results from instrumental variable analysis and regression discontinuity makes these methods less desirable for assessing policy effects on population-level health inequalities. Increased use of the

  1. How Can Information and Communication Technology Improve Healthcare Inequalities and Healthcare Inequity? The Concept of Context Driven Care.

    Science.gov (United States)

    Yee, Kwang Chien; Bettiol, Silvana; Nash, Rosie; Macintyrne, Kate; Wong, Ming Chao; Nøhr, Christian

    2018-01-01

    Advances in medicine have improved health and healthcare for many around the world. The challenge is achieving the best outcomes of health via healthcare delivery to every individual. Healthcare inequalities exist within a country and between countries. Health information technology (HIT) has provided a mean to deliver equal access to healthcare services regardless of social context and physical location. In order to achieve better health outcomes for every individual, socio-cultural factors, such as literacy and social context need to consider. This paper argues that HIT while improves healthcare inequalities by providing access, might worsen healthcare inequity. In order to improve healthcare inequity using HIT, this paper argues that we need to consider patients and context, and hence the concept of context driven care. To improve healthcare inequity, we need to conceptually consider the patient's view and methodologically consider design methods that achieve participatory outcomes.

  2. Relative index of inequality and slope index of inequality: a structured regression framework for estimation

    NARCIS (Netherlands)

    Moreno-Betancur, Margarita; Latouche, Aurélien; Menvielle, Gwenn; Kunst, Anton E.; Rey, Grégoire

    2015-01-01

    The relative index of inequality and the slope index of inequality are the two major indices used in epidemiologic studies for the measurement of socioeconomic inequalities in health. Yet the current definitions of these indices are not adapted to their main purpose, which is to provide summary

  3. The contribution of health selection to occupational status inequality in Germany - differences by gender and between the public and private sectors.

    Science.gov (United States)

    Kröger, H

    2016-04-01

    Estimating the size of health inequalities between hierarchical levels of job status and the contribution of direct health selection to these inequalities for men and women in the private and public sector in Germany. The study uses prospective data from the Socio-Economic Panel study on 11,788 women and 11,494 men working in the public and private sector in Germany. Direct selection effects of self-rated health on job status are estimated using fixed-effects linear probability models. The contribution of health selection to overall health-related inequalities between high and low status jobs is calculated. Women in the private sector who report very good health have a 1.9 [95% CI: 0.275; 3.507] percentage point higher probability of securing a high status job than women in poor self-rated health. This direct selection effect constitutes 20.12% of total health inequalities between women in high and low status jobs. For men in the private and men and women in the public sector no relevant health selection effects were identified. The contribution of health selection to total health inequalities between high and low status jobs varies with gender and public versus private sector. Women in the private sector in Germany experience the strongest health selection. Possible explanations are general occupational disadvantages that women have to overcome to secure high status jobs. Copyright © 2015 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

  4. [The Common Risk Factor Approach - An Integrated Population- and Evidence-Based Approach for Reducing Social Inequalities in Oral Health].

    Science.gov (United States)

    Heilmann, A; Sheiham, A; Watt, R G; Jordan, R A

    2016-10-01

    Worldwide, non-communicable diseases including dental caries and periodontal diseases, remain a major public health problem. Moreover, there is a social gradient in health across society that runs from the top to the bottom in a linear, stepwise fashion. Health promoting behaviours become more difficult to sustain further down the social ladder. Oral health inequalities also exist in Germany. Earlier explanations of social inequalities have mainly focused on individual lifestyle factors, ignoring the broader social determinants of health and disease. Until recently, the dominant approaches to general health promotion focused on actions to reduce specific diseases, separating oral health from general health. An alternative approach is the common risk factor approach (CRFA) where risk factors common to a number of major chronic diseases, including diseases of the mouth and teeth, are tackled. The CRFA focuses on the common underlying determinants of health to improve the overall health of populations, thereby reducing social inequalities. The main implication of the CRFA for oral health policies is to work in partnership with a range of other sectors and disciplines. Oral health issues need to be integrated with recommendations to promote general health. Improvements in oral health and a reduction in oral health inequalities are more likely by working in partnership across sectors and disciplines using strategies that focus upstream on the underlying determinants of oral diseases. © Georg Thieme Verlag KG Stuttgart · New York.

  5. Determinants of inequalities in self-perceived health among the urban poor in Kenya: A gender perspective

    Directory of Open Access Journals (Sweden)

    I.O Eboreime Oikeh

    2016-01-01

    Full Text Available Background Gender health inequalities are largely socially determined. Though perception of health differs between the genders in many societies, little is known of the social determinants of gender inequalities in self-perceived health among the urban poor in developing economies in sub-Saharan Africa. Objectives To identify the social determinants of self-perceived health among the genders in an urban informal settlement in sub-Saharan Africa and to determine the extent of the gender health inequalities. Methods This cross-sectional and observational community based study was carried out between August and November 2012 in Korogocho informal settlement of Nairobi, capital of Kenya; a sub-Saharan African country. Primary data were collected with pre-tested structured questionnaires from randomly selected adults aged 25 to 59 years residing in Korogocho. The independent variables were age, education and employment status. The dependent variable was categorized into poor and good self-perceived health. Data were analyzed with SPSS v 20. Statistical significance was set at P<0.05. Results The mean age (±SD of the 719 participants was 34.2 ± 8.7 years. Women (73.9% of participants were younger on average but were still significantly less educated with higher levels of unemployment than men (all P<0.05. Women also had higher prevalence of poor self-perceived health than men (28.3% vs. 20.7%; P<0.05. Conclusion Though younger, the prevalence of poor health was significantly higher among women who were also more socially disadvantaged in terms of education and employment than men. The findings stress the importance of gender analysis in research and highlight the crying need for gender-informed social policies, strategies and interventions to reduce gender health inequalities among the urban poor.

  6. Socioeconomic inequalities in health in the context of multimorbidity: A Korean panel study.

    Directory of Open Access Journals (Sweden)

    Myung Ki

    Full Text Available Socioeconomic inequalities in health are commonly known to decrease at late age. Yet, it remains unclear whether socioeconomic inequalities in health at late age appear in relation to multimorbidity, particularly in Korea where social support remains unsatisfactory for older people. Using three waves of Korea Health Panel, data of 19,942 observations with repeated measure were constructed to ensure a temporal sequence between three socioeconomic measures (i.e., poverty, employment status, and education and multimorbidity with a t to t+1 year transition. A multilevel multinomial model was applied to quantify the socioeconomic impact across different age, diseases and disease groups, both separately and in combination. There were associations between socioeconomic position (SEP and multimorbidity, and increasing trends of socioeconomic inequalities not only with greater number of morbidity but also with age. The latter result was only observed with employment status through mid-to-early old age; i.e., between the 40s (odds ratio (OR = 2.45, 95% confidence interval (CI:1.08-5.57 and 70s (OR = 3.48, 95%CI: 1.24-9.74. The patterns of socioeconomic inequalities in multimorbidity varied for particular pairs of diseases and were stronger in the disease pairs co-occurring with mental and cardiovascular diseases but weaker in the disease pairs co-occurring with cancer. Accumulation of adversity tended to intensify with increase in number of diseases and older age, though this finding was not consistently supported. The labour market should be encouraged to actively participate in actions to promote healthy aging needs to be complemented by the provision of more generous and universal income support to the elderly in Korea.

  7. Educational Inequalities in Health Behaviors at Midlife: Is There a Role for Early-life Cognition?

    Science.gov (United States)

    Clouston, Sean A P; Richards, Marcus; Cadar, Dorina; Hofer, Scott M

    2015-09-01

    Education is a fundamental cause of social inequalities in health because it influences the distribution of resources, including money, knowledge, power, prestige, and beneficial social connections, that can be used in situ to influence health. Recent studies have highlighted early-life cognition as commonly indicating the propensity for educational attainment and determining health and age of mortality. Health behaviors provide a plausible mechanism linking both education and cognition to later-life health and mortality. We examine the role of education and cognition in predicting smoking, heavy drinking, and physical inactivity at midlife using data from the Wisconsin Longitudinal Study (N = 10,317), National Survey of Health and Development (N = 5,362), and National Childhood Development Study (N = 16,782). Adolescent cognition was associated with education but was inconsistently associated with health behaviors. Education, however, was robustly associated with improved health behaviors after adjusting for cognition. Analyses highlight structural inequalities over individual capabilities when studying health behaviors. © American Sociological Association 2015.

  8. Gender inequality: Bad for men's health

    Directory of Open Access Journals (Sweden)

    Morna Cornell

    2013-02-01

    Full Text Available Men’s increased risk of death in ART programmes in sub-Saharan Africa is widely reported but poorly understood. Some studies have attributed this risk to men’s poorer health-seeking behaviour, which may prevent them from accessing ART, being adherent to treatment, or remaining in care. In a multicentre analysis of 46 201 adults starting ART in urban and rural settings in South Africa, these factors only partly explained men’s increased mortality while receiving ART. Importantly, the gender difference in mortality among patients receiving ART (31% higher for men than women was substantially smaller than that among HIV-negative South Africans, where men had twice the risk of death compared with women. Yet, this extreme gender inequality in mortality, both within and outside of ART programmes, has not given rise to widespread action. Here it is argued that, despite their dominance in society, men may be subject to a wide range of unfair discriminatory practices, which negatively affect their health outcomes. The health needs of men and boys require urgent attention. S Afr J HIV Med 2013;14(1:12-14. DOI:10.7196/SAJHIVMED.894

  9. Migration-related health inequalities: showing the complex interactions between gender, social class and place of origin.

    Science.gov (United States)

    Malmusi, Davide; Borrell, Carme; Benach, Joan

    2010-11-01

    In this paper, we briefly review theories and findings on migration and health from the health equity perspective, and then analyse migration-related health inequalities taking into account gender, social class and migration characteristics in the adult population aged 25-64 living in Catalonia, Spain. On the basis of the characterisation of migration types derived from the review, we distinguished between immigrants from other regions of Spain and those from other countries, and within each group, those from richer or poorer areas; foreign immigrants from low-income countries were also distinguished according to duration of residence. Further stratification by sex and social class was applied. Groups were compared in relation to self-assessed health in two cross-sectional population-based surveys, and in relation to indicators of socio-economic conditions (individual income, an index of material and financial assets, and an index of employment precariousness) in one survey. Social class and gender inequalities were evident in both health and socio-economic conditions, and within both the native and immigrant subgroups. Migration-related health inequalities affected both internal and international immigrants, but were mainly limited to those from poor areas, were generally consistent with their socio-economic deprivation, and apparently more pronounced in manual social classes and especially for women. Foreign immigrants from poor countries had the poorest socio-economic situation but relatively better health (especially men with shorter length of residence). Our findings on immigrants from Spain highlight the transitory nature of the 'healthy immigrant effect', and that action on inequality in socio-economic determinants affecting migrant groups should not be deferred. Copyright © 2010 Elsevier Ltd. All rights reserved.

  10. Social inequality in diabetes patients' morbidity patterns from diagnosis to death

    DEFF Research Database (Denmark)

    Sortsø, Camilla; Lauridsen, Jørgen; Emneus, Martha

    2018-01-01

    AIM: Measuring socioeconomic inequalities in health and health care, and understanding determinants of such inequalities, are critical for achieving higher equity in health. Equity in health is a prerequisite for public health and welfare. The aim of the paper is (1) to quantify inequality in dia...... that diabetes impacts harder on patients of lower SES; these patients experience more severe complications and die earlier. Hence to reduce inequality in health, it is important to invest in efforts targeted towards socially vulnerable groups.......AIM: Measuring socioeconomic inequalities in health and health care, and understanding determinants of such inequalities, are critical for achieving higher equity in health. Equity in health is a prerequisite for public health and welfare. The aim of the paper is (1) to quantify inequality...... in diabetes morbidity patterns over patients' entire life span, and (2) to compare levels of inequality measured through income and educational level, respectively, as proxies for socioeconomic status (SES). METHOD: Historic individual register data on the entire Danish diabetes population alive in 2011 were...

  11. Socioeconomic inequalities in the access to and quality of health care services

    Directory of Open Access Journals (Sweden)

    Bruno Pereira Nunes

    2014-12-01

    Full Text Available OBJECTIVE To assess the inequalities in access, utilization, and quality of health care services according to the socioeconomic status. METHODS This population-based cross-sectional study evaluated 2,927 individuals aged ≥ 20 years living in Pelotas, RS, Southern Brazil, in 2012. The associations between socioeconomic indicators and the following outcomes were evaluated: lack of access to health services, utilization of services, waiting period (in days for assistance, and waiting time (in hours in lines. We used Poisson regression for the crude and adjusted analyses. RESULTS The lack of access to health services was reported by 6.5% of the individuals who sought health care. The prevalence of use of health care services in the 30 days prior to the interview was 29.3%. Of these, 26.4% waited five days or more to receive care and 32.1% waited at least an hour in lines. Approximately 50.0% of the health care services were funded through the Unified Health System. The use of health care services was similar across socioeconomic groups. The lack of access to health care services and waiting time in lines were higher among individuals of lower economic status, even after adjusting for health care needs. The waiting period to receive care was higher among those with higher socioeconomic status. CONCLUSIONS Although no differences were observed in the use of health care services across socioeconomic groups, inequalities were evident in the access to and quality of these services.

  12. Using Multiple-hierarchy Stratification and Life Course Approaches to Understand Health Inequalities: The Intersecting Consequences of Race, Gender, SES, and Age.

    Science.gov (United States)

    Brown, Tyson H; Richardson, Liana J; Hargrove, Taylor W; Thomas, Courtney S

    2016-06-01

    This study examines how the intersecting consequences of race-ethnicity, gender, socioeconomics status (SES), and age influence health inequality. We draw on multiple-hierarchy stratification and life course perspectives to address two main research questions. First, does racial-ethnic stratification of health vary by gender and/or SES? More specifically, are the joint health consequences of racial-ethnic, gender, and socioeconomic stratification additive or multiplicative? Second, does this combined inequality in health decrease, remain stable, or increase between middle and late life? We use panel data from the Health and Retirement Study (N = 12,976) to investigate between- and within-group differences in in self-rated health among whites, blacks, and Mexican Americans. Findings indicate that the effects of racial-ethnic, gender, and SES stratification are interactive, resulting in the greatest racial-ethnic inequalities in health among women and those with higher levels of SES. Furthermore, racial-ethnic/gender/SES inequalities in health tend to decline with age. These results are broadly consistent with intersectionality and aging-as-leveler hypotheses. © American Sociological Association 2016.

  13. Integrated System of Structural Health Monitoring and Intelligent Management for a Cable-Stayed Bridge

    Directory of Open Access Journals (Sweden)

    Bin Chen

    2014-01-01

    Full Text Available It is essential to construct structural health monitoring systems for large important bridges. Zhijiang Bridge is a cable-stayed bridge that was built recently over the Hangzhou Qiantang River (the largest river in Zhejiang Province. The length of Zhijiang Bridge is 478 m, which comprises an arched twin-tower space and a twin-cable plane structure. As an example, the present study describes the integrated system of structural health monitoring and intelligent management for Zhijiang Bridge, which comprises an information acquisition system, data management system, evaluation and decision-making system, and application service system. The monitoring components include the working environment of the bridge and various factors that affect bridge safety, such as the stress and strain of the main bridge structure, vibration, cable force, temperature, and wind speed. In addition, the integrated system includes a forecasting and decision-making module for real-time online evaluation, which provides warnings and makes decisions based on the monitoring information. From this, the monitoring information, evaluation results, maintenance decisions, and warning information can be input simultaneously into the bridge monitoring center and traffic emergency center to share the monitoring data, thereby facilitating evaluations and decision making using the system.

  14. Socioeconomic status and health : A new approach to the measurement of bivariate inequality

    NARCIS (Netherlands)

    Erreygers, G.; Kessels, R.

    2017-01-01

    We suggest an alternative way to construct a family of indices of socioeconomic inequality of health. Our indices belong to the broad category of linear indices. In contrast to rank-dependent indices, which are defined in terms of the ranks of the socioeconomic variable and the levels of the health

  15. Social determinants of health in India: progress and inequities across states.

    Science.gov (United States)

    Cowling, Krycia; Dandona, Rakhi; Dandona, Lalit

    2014-10-08

    Despite the recognized importance of social determinants of health (SDH) in India, no compilation of the status of and inequities in SDH across India has been published. To address this gap, we assessed the levels and trends in major SDH in India from 1990 onwards and explored inequities by state, gender, caste, and urbanicity. Household- and individual-level SDH indicators were extracted from national household surveys conducted between 1990 and 2011 and means were computed across population subgroups and over time. The multidimensional poverty index (MPI), a composite measure of health, education, and standard of living, was calculated for all three rounds of the National Family Health Survey, adjusting the methodology to generate comparable findings from the three datasets. Data from government agencies were analyzed to assess voting patterns, political participation, and air and water pollution. Changes in the MPI demonstrate progress in each domain over time, but high rates persist in important areas: the majority of households in India use indoor biomass fuel and have unimproved sanitation, and over one-third of households with a child under the age of 3 years have undernourished children. There are large, but narrowing, gender gaps in education indicators, but no measurable change in women's participation in governance or the labor force. Less than 25% of workers have job security and fewer than 15% have any social security benefit. Alarming rates of air pollution are observed, with particulate matter concentrations persistently above the critical level at over 50% of monitoring stations. This assessment indicates that air pollution (indoor and outdoor), child undernutrition, unimproved sanitation, employment conditions, and gender inequality are priority areas for public policy related to SDH in India.

  16. Socioeconomic inequalities in dental health among middle-aged adults and the role of behavioral and psychosocial factors

    DEFF Research Database (Denmark)

    Capurro, Diego Alberto; Davidsen, Michael

    2017-01-01

    BACKGROUND: The goal of this analysis was to describe socioeconomic inequalities in dental health among Spanish middle-aged adults, and the role of behavioral and psychosocial factors in explaining these inequalities. METHODS: This cross-sectional study used survey data from the 2006 Spanish Nati...

  17. Meddling with middle modalities: a decomposition approach to mental health inequalities between intersectional gender and economic middle groups in northern Sweden

    Directory of Open Access Journals (Sweden)

    Per E. Gustafsson

    2016-11-01

    Full Text Available Background: Intersectionality has received increased interest within population health research in recent years, as a concept and framework to understand entangled dimensions of health inequalities, such as gender and socioeconomic inequalities in health. However, little attention has been paid to the intersectional middle groups, referring to those occupying positions of mixed advantage and disadvantage. Objective: This article aimed to 1 examine mental health inequalities between intersectional groups reflecting structural positions of gender and economic affluence and 2 decompose any observed health inequalities, among middle groups, into contributions from experiences and conditions representing processes of privilege and oppression. Design: Participants (N=25,585 came from the cross-sectional ‘Health on Equal Terms’ survey covering 16- to 84-year-olds in the four northernmost counties of Sweden. Six intersectional positions were constructed from gender (woman vs. men and tertiles (low vs. medium vs. high of disposable income. Mental health was measured through the General Health Questionnaire-12. Explanatory variables covered areas of material conditions, job relations, violence, domestic burden, and healthcare contacts. Analysis of variance (Aim 1 and Blinder-Oaxaca decomposition analysis (Aim 2 were used. Results: Significant mental health inequalities were found between dominant (high-income women and middle-income men and subordinate (middle-income women and low-income men middle groups. The health inequalities between adjacent middle groups were mostly explained by violence (mid-income women vs. men comparison; material conditions (mid- vs. low-income men comparison; and material needs, job relations, and unmet medical needs (high- vs. mid-income women comparison. Conclusions: The study suggests complex processes whereby dominant middle groups in the intersectional space of economic affluence and gender can leverage strategic

  18. Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability

    Science.gov (United States)

    Shrestha, Rehana; Flacke, Johannes; Martinez, Javier; van Maarseveen, Martin

    2016-01-01

    Differential exposure to multiple environmental burdens and benefits and their distribution across a population with varying vulnerability can contribute heavily to health inequalities. Particularly relevant are areas with high cumulative burdens and high social vulnerability termed as “hotspots”. This paper develops an index-based approach to assess these multiple burdens and benefits in combination with vulnerability factors at detailed intra-urban level. The method is applied to the city of Dortmund, Germany. Using non-spatial and spatial methods we assessed inequalities and identified “hotspot” areas in the city. We found modest inequalities burdening higher vulnerable groups in Dortmund (CI = −0.020 at p vulnerability, is essential to inform environmental justice debates and to mobilize local stakeholders. Locating “hotspot” areas at this detailed spatial level can serve as a basis to develop interventions that target vulnerable groups to ensure a health conducive equal environment. PMID:27409625

  19. Recalibrating the spirit level: An analysis of the interaction of income inequality and poverty and its effect on health.

    Science.gov (United States)

    Rambotti, Simone

    2015-08-01

    The publication of The Spirit Level (Wilkinson and Pickett, 2009) marked a paramount moment in the analysis of health and inequality, quickly attracting a remarkable degree of attention, both positive and negative, both in academic and in public discourse. Following at least 20 years of research, the book proposes a simple and powerful argument: inequality per se, more specifically income inequality, is harmful to every aspect of social life. In order to confirm this idea, the authors present a series of bivariate, cross-sectional associations showing comparisons across countries and within the United States. Despite the methodological limitations of this approach, the authors advance causal claims concerning the detrimental effects of income inequality. They also rule out poverty as a plausible alternative explanation, without directly measuring it. Meanwhile, over the last decade stratification scholars have demonstrated the nonlinear effect of economic factors, especially income, on health. The results suggest that a relative approach is best for analyzing dynamics at the top of the income distribution, whereas an absolute approach seems most appropriate for studying the bottom of the distribution. Consistent with this perspective, here I reanalyze data from The Spirit Level, adding a measure of poverty, in order to control the effect of inequality and explore its interaction with poverty. The findings show that inequality and poverty-which I contend are two interdependent but nonetheless distinct phenomena-interact across countries, such that the detrimental effects of inequality are present or stronger in countries with high poverty, and absent or weaker in countries with low poverty; poverty replaces inequality as the favored explanation of health and social ills across states. The new evidence suggests that income distributions are characterized by a complex interplay between inequality and poverty, whose interaction deserves further analysis. Copyright

  20. The role of gender inequities in women's access to reproductive health care: a population-level study of Namibia, Kenya, Nepal, and India

    Directory of Open Access Journals (Sweden)

    Namasivayam A

    2012-07-01

    Full Text Available Amrita Namasivayam,1 Donatus C Osuorah,2 Rahman Syed,3 Diddy Antai3,41Department of Public Health, Division of Global Health (IHCAR, Karolinska Institute, Stockholm, Sweden; 2Department of Pediatrics, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra, Nigeria; 3Department of Public Health, Division of Social Medicine, Karolinska Institute, Stockholm, Sweden; 4Division of Global Health and Inequalities, The Angels Trust, Abuja, NigeriaBackground: The role of gender inequities in explaining women's access to reproductive health care was examined in four countries (two sub-Saharan African and two South Asian countries. The extent of gender inequities varies across and within countries, and is rooted in the different cultural practices and gender norms within these different countries, and differences in the status and autonomy of women.Methods: Demographic and Health Survey data from women aged 15–49 years within these countries were analyzed with multivariate logistic regression analysis to examine the role of multidimensional characteristics of gender inequities, operationalized as access to skilled antenatal care, tetanus toxoid injection during pregnancy, and access to skilled antenatal care.Results: Significant associations were found between several dimensions of gender inequities (with the exception of decision-making autonomy and reported use of maternal reproductive health care services. Several pathways of influence between the outcome and exposure variables were also identified.Conclusion: Dimensions of gender inequities (with the exception of decision-making autonomy differentially influenced woman's use of reproductive health care services, thus highlighting the urgent need for concerted and sustained efforts to change these harmful traditional values if several of these countries are to meet Millennium Development Goal-5.Keywords: women, gender inequities, reproductive health care, Namibia, Kenya, Nepal, India