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

Trends in socioeconomic inequalities in child malnutrition in Vietnam: findings from the Multiple Indicator Cluster Surveys, 2000–2011

Science.gov (United States)

Kien, Vu Duy; Lee, Hwa-Young; Nam, You-Seon; Oh, Juhwan; Giang, Kim Bao; Van Minh, Hoang

2016-01-01

Background Child malnutrition is not only a major contributor to child mortality and morbidity, but it can also determine socioeconomic status in adult life. The rate of under-five child malnutrition in Vietnam has significantly decreased, but associated inequality issues still need attention. Objective This study aims to explore trends, contributing factors, and changes in inequalities for under-five child malnutrition in Vietnam between 2000 and 2011. Design Data were drawn from the Viet Nam Multiple Indicator Cluster Survey for the years 2000 and 2011. The dependent variables used for the study were stunting, underweight, and wasting of under-five children. The concentration index was calculated to see the magnitude of child malnutrition, and the inequality was decomposed to understand the contributions of determinants to child malnutrition. The total differential decomposition was used to identify and explore factors contributing to changes in child malnutrition inequalities. Results Inequality in child malnutrition increased between 2000 and 2011, even though the overall rate declined. Most of the inequality in malnutrition was due to ethnicity and socioeconomic status. The total differential decomposition showed that the biggest and second biggest contributors to the changes in underweight inequalities were age and socioeconomic status, respectively. Socioeconomic status was the largest contributor to inequalities in stunting. Conclusions Although the overall level of child malnutrition was improved in Vietnam, there were significant differences in under-five child malnutrition that favored those who were more advantaged in socioeconomic terms. The impact of socioeconomic inequalities in child malnutrition has increased over time. Multifaceted approaches, connecting several relevant ministries and sectors, may be necessary to reduce inequalities in childhood malnutrition. PMID:26950558

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-economic

Socioeconomic Determinants of Inequality in Smoking Stages: A Distributive Analysis on a Sample of Male High School Students.

Science.gov (United States)

Ayubi, Erfan; Sani, Mohadeseh; Safiri, Saeid; Khedmati Morasae, Esmaeil; Almasi-Hashiani, Amir; Nazarzadeh, Milad

2017-07-01

The effect of socioeconomic status on adolescent smoking behaviors is unclear, and sparse studies are available about the potential association. The present study aimed to measure and explain socioeconomic inequality in smoking behavior among a sample of Iranian adolescents. In a cross-sectional survey, a multistage sample of adolescents ( n = 1,064) was recruited from high school students in Zanjan city, northwest of Iran. Principal component analysis was used to measure economic status of adolescents. Concentration index was used to measure socioeconomic inequality in smoking behavior, and then it was decomposed to reveal inequality contributors. Concentration index and its 95% confidence interval for never, experimental, and regular smoking behaviors were 0.004 [-0.03, 0.04], 0.05 [0.02, 0.11], and -0.10 [-0.04, -0.19], respectively. The contribution of economic status to measured inequality in experimental and regular smoking was 80.0% and 68.8%, respectively. Household economic status could be targeted as one of the relevant factors in the unequal distribution of smoking behavior among adolescents.

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.

Socioeconomic inequality in malnutrition in developing countries

NARCIS (Netherlands)

E. Van de Poel (Ellen); A.R. Hosseinpoor (Ahmad); N. Speybroeck (Niko); T.G.M. van Ourti (Tom); J. Vega (Jeanette)

2008-01-01

textabstractObjective: The objectives of this study were to report on socioeconomic inequality in childhood malnutrition in the developing world, to provide evidence for an association between socioeconomic inequality and the average level of malnutrition, and to draw attention to different patterns

Socioeconomic inequalities in lung cancer mortality in 16 European populations

NARCIS (Netherlands)

van der Heyden, J. H. A.; Schaap, M. M.; Kunst, A. E.; Esnaola, S.; Borrell, C.; Cox, B.; Leinsalu, M.; Stirbu, I.; Kalediene, R.; Deboosere, P.; Mackenbach, J. P.; van Oyen, H.

2009-01-01

OBJECTIVES: This paper aims to describe socioeconomic inequalities in lung cancer mortality in Europe and to get further insight into socioeconomic inequalities in lung cancer mortality in different European populations by relating these to socioeconomic inequalities in overall mortality and smoking

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

Socioeconomic inequalities in adolescent smoking across 35 countries

DEFF Research Database (Denmark)

Moor, Irene; Rathmann, Katharina; Lenzi, Michela

2015-01-01

BACKGROUND: Tobacco-related heath inequalities are a major public health concern, with smoking being more prevalent among lower socioeconomic groups. The aim of this study is to investigate the mechanisms leading to socioeconomic inequalities in smoking among 15-year-old adolescents by examining ...

Decomposing socioeconomic inequalities in depressive symptoms among the elderly in China

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Yongjian Xu

2016-12-01

Full Text Available Abstract Background Accelerated population ageing brings about unprecedented challenges to the health system in China. This study aimed to measure the prevalence and the income-related inequality of depressive symptoms, and also identify the determinants of depressive symptom inequality among the elderly in China. Methods Data were drawn from the second wave of the China Health and Retirement Longitudinal Study (CHARLS. Depressive symptoms were assessed with a 10-item Center for Epidemiologic Studies–Depression Scale (CES-D, which was preselected in CHARLS. The concentration index was used to measure the magnitude of income-related inequality in depressive symptoms. A decomposition analysis, based on the logit model, was employed to quantify the contribution of each determinant to total inequality. Results More than 32.55% of the elderly in China had depressive symptoms. Women had a higher prevalence of depressive symptoms than men. The overall concentration index of depressive symptoms was -0.0645 among the elderly, indicating that depressive symptoms are more concentrated among the elderly who lived in economically disadvantaged situations, favoring the rich. Income was found to have the largest percentage of contribution to overall inequality, followed by residents’ location and educational attainment. Conclusion The prevalence of depressive symptoms in the elderly was considerably high in China. There was also a pro-rich inequality in depressive symptoms amongst elderly Chinese. It is suggested that some form of policy and intervention strategies, such as establishing the urban-rural integrated medical insurance scheme, enhancing the medical assistance system, and promoting health education programs, is required to alleviate inequitable distribution of depressive symptoms.

Socioeconomic inequalities in stillbirth rates in Europe

DEFF Research Database (Denmark)

Zeitlin, Jennifer; Mortensen, Laust; Prunet, Caroline

2016-01-01

in their country. Conclusions: Data on stillbirths and socioeconomic status from routine systems showed widespread and consistent socioeconomic inequalities in stillbirth rates in Europe. Further research is needed to better understand differences between countries in the magnitude of the socioeconomic gradient.......Background: Previous studies have shown that socioeconomic position is inversely associated with stillbirth risk, but the impact on national rates in Europe is not known. We aimed to assess the magnitude of social inequalities in stillbirth rates in European countries using indicators generated...... from routine monitoring systems. Methods: Aggregated data on the number of stillbirths and live births for the year 2010 were collected for three socioeconomic indicators (mothers' educational level, mothers' and fathers' occupational group) from 29 European countries participating in the Euro...

Income inequality and socioeconomic gradients in mortality.

Science.gov (United States)

Wilkinson, Richard G; Pickett, Kate E

2008-04-01

We investigated whether the processes underlying the association between income inequality and population health are related to those responsible for the socioeconomic gradient in health and whether health disparities are smaller when income differences are narrower. We used multilevel models in a regression analysis of 10 age- and cause-specific US county mortality rates on county median household incomes and on state income inequality. We assessed whether mortality rates more closely related to county income were also more closely related to state income inequality. We also compared mortality gradients in more- and less-equal states. Mortality rates more strongly associated with county income were more strongly associated with state income inequality: across all mortality rates, r= -0.81; P=.004. The effect of state income inequality on the socioeconomic gradient in health varied by cause of death, but greater equality usually benefited both wealthier and poorer counties. Although mortality rates with steep socioeconomic gradients were more sensitive to income distribution than were rates with flatter gradients, narrower income differences benefit people in both wealthy and poor areas and may, paradoxically, do little to reduce health disparities.

Socioeconomic inequality and its determinants regarding infant mortality in iran.

Science.gov (United States)

Damghanian, Maryam; Shariati, Mohammad; Mirzaiinajmabadi, Khadigeh; Yunesian, Masud; Emamian, Mohammad Hassan

2014-06-01

Infant mortality rate is a useful indicator of health conditions in the society, the racial and socioeconomic inequality of which is from the most important measures of social inequality. The aim of this study was to determine the socioeconomic inequality and its determinants regarding infant mortality in an Iranian population. This cross-sectional study was performed on 3794 children born during 2010-2011 in Shahroud, Iran. Based on children's addresses and phone numbers, 3412 were available and finally 3297 participated in the study. A data collection form was filled out through interviewing the mothers as well as using health records. Using principal component analysis, the study population was divided to high and low socioeconomic groups based on the case's home asset, education and job of the household's head, marital status, and composition of the household members. Inequality between the groups with regard to infant mortality was investigated by Blinder-Oaxaca decomposition method. The mortality rate was 15.1 per 1000 live births in the high socioeconomic group and 42.3 per 1000 in the low socioeconomic group. Mother's education, consanguinity of parents, and infant's nutrition type and birth weight constituted 44% of the gap contributing factors. Child's gender, high-risk pregnancy, and living area had no impact on the gap. There was considerable socioeconomic inequality regarding infant mortality in Shahroud. Mother's education was the most contributing factor in this inequality.

Do Inequalities in Parents' Education Play an Important Role in PISA Students' Mathematics Achievement Test Score Disparities?

Science.gov (United States)

Martins, Lurdes; Veiga, Paula

2010-01-01

This paper measures and decomposes socioeconomic-related inequality in mathematics achievement in 15 European Union member states. Data is taken from the 2003 wave of the OECD Programme for International Student Assessment (PISA). There is socioeconomic-related inequality in mathematics achievement, favoring the higher socioeconomic groups in each…

Measurement and decomposition of socioeconomic inequality in single and multimorbidity in older adults in China and Ghana: results from the WHO study on global AGEing and adult health (SAGE).

Science.gov (United States)

Kunna, Rasha; San Sebastian, Miguel; Stewart Williams, Jennifer

2017-05-15

Globally people are living longer and enduring non-communicable diseases (NCDs) many of which co-occur as multimorbidity. Demographic and socioeconomic factors are determinants of inequalities and inequities in health. There is a need for country-specific evidence of NCD inequalities in developing countries where populations are ageing rapidly amid economic and social change. The study measures and decomposes socioeconomic inequality in single and multiple NCD morbidity in adults aged 50 and over in China and Ghana. The data source is the World Health Organization Study on Global AGEing and Adult Health (SAGE) Wave 1 (2007-2010). Nationally representative cross-sectional data collected from adults in China (n = 11,814) and Ghana (n = 4,050) are analysed. Country populations are ranked by a socioeconomic index based on ownership of household assets. The study uses a decomposed concentration index (CI) of single and multiple NCD morbidity (multimorbidity) covering arthritis, diabetes, angina, stroke, asthma, depression, chronic lung disease and hypertension. The CI quantifies the extent of overall inequality on each morbidity measure. The decomposition utilises a regression-based approach to examine individual contributions of demographic and socioeconomic factors, or determinants, to the overall inequality. In China, the prevalence of single and multiple NCD morbidity was 64.7% and 53.4%, compared with 65.9% and 55.5% respectively in Ghana. Inequalities were significant and more highly concentrated among the poor in China (single morbidity CI = -0.0365: 95% CI = -0.0689,-0.0040; multimorbidity CI = -0.0801: 95% CI = -0.1233,-0.0368;). In Ghana inequalities were significant and more highly concentrated among the rich (single morbidity CI = 0.1182; 95% CI = 0.0697, 0.1668; multimorbidity CI = 0.1453: 95% CI = 0.0794, 0.2083). In China, rural residence contributed most to inequality in single morbidity (36.4%) and the wealth

Socio-economic inequality in oral healthcare coverage

DEFF Research Database (Denmark)

Hosseinpoor, A R; Itani, L; Petersen, P E

2012-01-01

wealth quintiles in each country, a wealth-based relative index of inequality was used to measure socio-economic inequality. The index was adjusted for sex, age, marital status, education, employment, overall health status, and urban/rural residence. Pro-rich inequality in oral healthcare coverage......The objective of this study was to assess socio-economic inequality in oral healthcare coverage among adults with expressed need living in 52 countries. Data on 60,332 adults aged 18 years or older were analyzed from 52 countries participating in the 2002-2004 World Health Survey. Oral healthcare...... coverage was defined as the proportion of individuals who received any medical care from a dentist or other oral health specialist during a period of 12 months prior to the survey, among those who expressed any mouth and/or teeth problems during that period. In addition to assessment of the coverage across...

Socioeconomic Inequality and Its Determinants Regarding Infant Mortality in Iran

Science.gov (United States)

Damghanian, Maryam; Shariati, Mohammad; Mirzaiinajmabadi, Khadigeh; Yunesian, Masud; Emamian, Mohammad Hassan

2014-01-01

Background: Infant mortality rate is a useful indicator of health conditions in the society, the racial and socioeconomic inequality of which is from the most important measures of social inequality. Objectives: The aim of this study was to determine the socioeconomic inequality and its determinants regarding infant mortality in an Iranian population. Patients and Methods: This cross-sectional study was performed on 3794 children born during 2010-2011 in Shahroud, Iran. Based on children’s addresses and phone numbers, 3412 were available and finally 3297 participated in the study. A data collection form was filled out through interviewing the mothers as well as using health records. Using principal component analysis, the study population was divided to high and low socioeconomic groups based on the case’s home asset, education and job of the household’s head, marital status, and composition of the household members. Inequality between the groups with regard to infant mortality was investigated by Blinder-Oaxaca decomposition method. Results: The mortality rate was 15.1 per 1000 live births in the high socioeconomic group and 42.3 per 1000 in the low socioeconomic group. Mother's education, consanguinity of parents, and infant's nutrition type and birth weight constituted 44% of the gap contributing factors. Child's gender, high-risk pregnancy, and living area had no impact on the gap. Conclusions: There was considerable socioeconomic inequality regarding infant mortality in Shahroud. Mother's education was the most contributing factor in this inequality. PMID:25068048

Socioeconomic Inequalities in Adult Obesity Prevalence in South Africa: A Decomposition Analysis

Science.gov (United States)

Alaba, Olufunke; Chola, Lumbwe

2014-01-01

In recent years, there has been a dramatic increase in obesity in low and middle income countries. However, there is limited research in these countries showing the prevalence and determinants of obesity. In this study, we examine the socioeconomic inequalities in obesity among South African adults. We use nationally representative data from the South Africa National Income Dynamic Survey of 2008 to: (1) construct an asset index using multiple correspondence analyses (MCA) as a proxy for socioeconomic status; (2) estimate concentration indices (CI) to measure socioeconomic inequalities in obesity; and (3) perform a decomposition analysis to determine the factors that contribute to socioeconomic related inequalities. Consistent with other studies, we find that women are more obese than men. The findings show that obesity inequalities exist in South Africa. Rich men are more likely to be obese than their poorer counterparts with a concentration index of 0.27. Women on the other hand have similar obesity patterns, regardless of socioeconomic status with CI of 0.07. The results of the decomposition analysis suggest that asset index contributes positively and highly to socio-economic inequality in obesity among females; physical exercise contributes negatively to the socio-economic inequality. In the case of males, educational attainment and asset index contributed more to socio-economic inequalities in obesity. Our findings suggest that focusing on economically well-off men and all women across socioeconomic status is one way to address the obesity problem in South Africa. PMID:24662998

Socioeconomic Inequalities in Adult Obesity Prevalence in South Africa: A Decomposition Analysis

Directory of Open Access Journals (Sweden)

Olufunke Alaba

2014-03-01

Full Text Available In recent years, there has been a dramatic increase in obesity in low and middle income countries. However, there is limited research in these countries showing the prevalence and determinants of obesity. In this study, we examine the socioeconomic inequalities in obesity among South African adults. We use nationally representative data from the South Africa National Income Dynamic Survey of 2008 to: (1 construct an asset index using multiple correspondence analyses (MCA as a proxy for socioeconomic status; (2 estimate concentration indices (CI to measure socioeconomic inequalities in obesity; and (3 perform a decomposition analysis to determine the factors that contribute to socioeconomic related inequalities. Consistent with other studies, we find that women are more obese than men. The findings show that obesity inequalities exist in South Africa. Rich men are more likely to be obese than their poorer counterparts with a concentration index of 0.27. Women on the other hand have similar obesity patterns, regardless of socioeconomic status with CI of 0.07. The results of the decomposition analysis suggest that asset index contributes positively and highly to socio-economic inequality in obesity among females; physical exercise contributes negatively to the socio-economic inequality. In the case of males, educational attainment and asset index contributed more to socio-economic inequalities in obesity. Our findings suggest that focusing on economically well-off men and all women across socioeconomic status is one way to address the obesity problem in South Africa.

Explaining socioeconomic inequalities in exclusive breast feeding in Norway.

Science.gov (United States)

Bærug, Anne; Laake, Petter; Løland, Beate Fossum; Tylleskär, Thorkild; Tufte, Elisabeth; Fretheim, Atle

2017-08-01

In high-income countries, lower socioeconomic position is associated with lower rates of breast feeding, but it is unclear what factors explain this inequality. Our objective was to examine the association between socioeconomic position and exclusive breast feeding, and to explore whether socioeconomic inequality in exclusive breast feeding could be explained by other sociodemographic characteristics, for example, maternal age and parity, smoking habits, birth characteristics, quality of counselling and breastfeeding difficulties. We used data from a questionnaire sent to mothers when their infants were five completed months as part of a trial of a breastfeeding intervention in Norway. We used maternal education as an indicator of socioeconomic position. Analyses of 1598 mother-infant pairs were conducted using logistic regression to assess explanatory factors of educational inequalities in breast feeding. Socioeconomic inequalities in exclusive breast feeding were present from the beginning and persisted for five completed months, when 22% of the most educated mothers exclusively breast fed compared with 7% of the least educated mothers: OR 3.39 (95% CI 1.74 to 6.61). After adjustment for all potentially explanatory factors, the OR was reduced to 1.49 (95% CI 0.70 to 3.14). This decrease in educational inequality seemed to be mainly driven by sociodemographic factors, smoking habits and breastfeeding difficulties, in particular perceived milk insufficiency. Socioeconomic inequalities in exclusive breast feeding at 5 months were largely explained by sociodemographic factors, but also by modifiable factors, such as smoking habits and breastfeeding difficulties, which can be amenable to public health interventions. NCT01025362. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Gender differences in socioeconomic inequality in mortality

OpenAIRE

Mustard, C; Etches, J

2003-01-01

Objectives: There is uncertainty about whether position in a socioeconomic hierarchy confers different mortality risks on men and women. The objective of this study was to conduct a systematic review of gender differences in socioeconomic inequality in risk of death.

[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.

Income Satisfaction Inequality and its Causes

OpenAIRE

Ferrer-i-Carbonell, Ada; Praag, Bernard M.S. Van

2002-01-01

In this paper, the concept of Income Satisfaction Inequality is operationalized on the basis of individual responses to an Income Satisfaction question posed in the German Socio-Economic Panel (GSOEP). Income satisfaction is the subjective analogue of the objective income concept and includes objective income inequality as a special case. The paper introduces a method to decompose Income Satisfaction Inequality according to the contributions from variables such as income, education, and the n...

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.

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....

[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.

Socioeconomic Inequalities in Stroke Incidence Among Migrant Groups

DEFF Research Database (Denmark)

Agyemang, Charles; van Oeffelen, AA; Nørredam, Marie Louise

2014-01-01

Background and Purpose—Low socioeconomic status has been linked to high incidence of stroke in industrialized countries; therefore, reducing socioeconomic disparities is an important goal of health policy. The evidence on migrant groups is, however, limited and inconsistent. We assessed socioecon......Background and Purpose—Low socioeconomic status has been linked to high incidence of stroke in industrialized countries; therefore, reducing socioeconomic disparities is an important goal of health policy. The evidence on migrant groups is, however, limited and inconsistent. We assessed...... socioeconomic inequalities in relation to stroke incidence among major ethnic groups in the Netherlands. Methods—A nationwide register-based cohort study was conducted (n=2 397 446) between January 1, 1998, and December 31, 2010, among ethnic Dutch and ethnic minority groups. Standardized disposable household...... income was used as a measure of socioeconomic position. Results—Among ethnic Dutch, the incidence of stroke was higher in the low-income group than in the high-income group (adjusted hazard ratio, 1.18; 95% confidence interval, 1.16–1.20). Similar socioeconomic inequalities in stroke incidence were found...

Socioeconomic inequality and child maltreatment in Iranian schoolchildren.

Science.gov (United States)

Hosseinkhani, Z; Nedjat, S; Aflatouni, A; Mahram, M; Majdzadeh, R

2016-02-01

Socioeconomic inequality and child maltreatment have not been studied using the concentration index as an indicator of inequality. The study aimed to assess the association of child maltreatment with socioeconomic status among schoolchildren in Qazvin province, Islamic Republic of Iran. In this cross-sectional study a questionnaire based on the ISPCAN Child Maltreatment Screening Tool-Children's Version and the Juvenile Victimization Questionnaire was filled by 1028 children aged 9-14 years, selected through multistage stratified random sampling. The concentration indices for economic inequality were -0.086 for any type of child maltreatment and -0.155, -0.098 and -0.139 for the physical, psychological and neglect subtypes of maltreatment respectively. The number of children and the economic status of the family also showed a significant association with child maltreatment in all 3 subtypes. Appropriate planning for effective interventions for at-risk children of lower socioeconomic status should be considered by the relevant decision-makers.

Socioeconomic inequalities in very preterm birth rates.

Science.gov (United States)

Smith, L K; Draper, E S; Manktelow, B N; Dorling, J S; Field, D J

2007-01-01

To investigate the extent of socioeconomic inequalities in the incidence of very preterm birth over the past decade. Ecological study of all 549 618 births in the former Trent health region, UK, from 1 January 1994 to 31 December 2003. All singleton births of 22(+0) to 32(+6) weeks gestation (7 185 births) were identified from population surveys of neonatal services and stillbirths. Poisson regression was used to calculate incidence of very preterm birth (22-32 weeks) and extremely preterm birth (22-28 weeks) by year of birth and decile of deprivation (child poverty section of the Index of Multiple Deprivation). Incidence of very preterm singleton birth rose from 11.9 per 1000 births in 1994 to 13.7 per 1000 births in 2003. Those from the most deprived decile were at nearly twice the risk of very preterm birth compared with those from the least deprived decile, with 16.4 per 1000 births in the most deprived decile compared with 8.5 per 1000 births in the least deprived decile (incidence rate ratio 1.94; 95% CI (1.73 to 2.17)). This deprivation gap remained unchanged throughout the 10-year period. The magnitude of socio-economic inequalities was the same for extremely preterm births (22-28 weeks incidence rate ratio 1.94; 95% CI (1.62 to 2.32)). This large, unique dataset of very preterm births shows wide socio-economic inequalities that persist over time. These findings are likely to have consequences on the burden of long-term morbidity. Our research can assist future healthcare planning, the monitoring of socio-economic inequalities and the targeting of interventions in order to reduce this persistent deprivation gap.

Socio-economic inequality in preterm birth

DEFF Research Database (Denmark)

Petersen, Christina Bjørk; Mortensen, Laust Hvas; Morgen, Camilla Schmidt

2009-01-01

increased slightly over time in very preterm births in Denmark, while there was a slight narrowing of the gap in Sweden. In moderately preterm births, the educational inequality gap was constant over the study period in Denmark, Norway and Sweden, but narrowed in Finland. The educational gradient in preterm...... birth remained broadly stable from 1981 to 2000 in all four countries. Consequently, the socio-economic inequalities in preterm birth were not strongly influenced by structural changes during the period....

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold.

Science.gov (United States)

Bilger, Marcel; Kruger, Eliza J; Finkelstein, Eric A

2017-08-01

We combine two of the most widely used measures in the inequality and poverty literature, the concentration index and Foster-Greer-Thorbecke metric to the analysis of socioeconomic inequality in obesity. This enables us to describe socioeconomic inequality not only in obesity status but also in its depth and severity. We apply our method to 1971-2012 US data and show that while the socioeconomic inequality in obesity status has now almost disappeared, this is not the case when depth and severity of obesity are considered. Such socioeconomic gradient is found to be greatest among non-Hispanic whites, but decomposition analysis also reveals an inverse relationship between income and obesity outcomes among Mexican Americans once the effect of immigrant status has been accounted for. The socioeconomic gradient is also greater among women with marital status further increasing it for severity of obesity while the opposite is true among men. Overall, the socioeconomic gradient exists as poorer individuals lie further away from the obesity threshold. Our study stresses the need for policies that jointly consider obesity and income to support those who suffer from the double burden of poverty and obesity-related health conditions. © 2016 The Authors. Health Economics Published by John Wiley & Sons Ltd. © 2016 The Authors. Health Economics Published by John Wiley & Sons Ltd.

The Interplay between socioeconomic inequalities and clinical oral health.

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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

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...

[Physical activity levels among Colombian adults: inequalities by gender and socioeconomic status].

Science.gov (United States)

González, Silvia; Lozano, Óscar; Ramírez, Andrea; Grijalba, Carlos

2014-01-01

Worldwide studies show inequalities in physical activity levels related to socio-demographic characteristics. In Colombia, among the countries in Latin America with the highest inequality, the evidence related to inequalities in physical activity is limited. It is imperative to identify disparities in physical activity in the country, to guide the design of public policies aimed at promoting physical activity. 1) To estimate the prevalence and associated factors of meeting physical activity recommendations; 2) to assess inequalities by gender and socioeconomic status in meeting physical activity recommendations, and 3) to assess the trends in physical activity prevalence within a five-year period. A secondary analysis of data from the 2010 National Nutrition Survey was conducted. The sample included 27,243 adults. The International Physical Activity Questionnaire was used to measure leisure time and transport domains. Socioeconomic status was measured by the Sisben level. Compared to men, women were less likely to meet physical activity recommendations in all domains. Compared to adults from high socioeconomic-status households, low socioeconomic-status adults had a lower prevalence of meeting physical activity recommendations during leisure time and the highest prevalence of using a bicycle for transport. The factors associated with meeting physical activity recommendations differed by gender and physical activity domain. Household and individual variables explained 13.6% of the inequalities observed by gender, and 23.2% of the inequalities by socioeconomic status. In a five-year period, the prevalence of physical activity in leisure time decreased, while the physical activity of walking for transport increased and biking for transport did not change. Future interventions to increase physical activity levels in Colombia must consider inequalities by gender and socioeconomic status. Of special concern is the low prevalence of meeting physical activity

Socio-economic Inequalities and Healthcare Utilization in Ghana

Directory of Open Access Journals (Sweden)

Bashiru I.I. Saeed

2013-07-01

Full Text Available A socio-economic inequality in the use of healthcare services in Ghana is investigated in this paper. The data employed in the study were drawn from Global Ageing and Adult Health survey conducted in Ghana by SAGE and was based on the design for the World Health Survey (WHS, 2003. The survey was conducted in 2007 and collected data on socio-economic characteristics and other variables of the individuals interviewed. Using generalized logit model, the study found that health status is a very strong determinant of the type of healthcare services Ghanaians look for. In Ghana, there are still important socio-economic gradients in the use of some healthcare services. These differences may be due to socio-economic inequities but could also indicate that the existing health facilities are not always used in an optimal way. Patient factors may be more important than supply factors in explaining the differential use of health services.

'Only Fathers Smoking' Contributes the Most to Socioeconomic Inequalities: Changes in Socioeconomic Inequalities in Infants' Exposure to Second Hand Smoke over Time in Japan.

Science.gov (United States)

Saito, Junko; Tabuchi, Takahiro; Shibanuma, Akira; Yasuoka, Junko; Nakamura, Masakazu; Jimba, Masamine

2015-01-01

Exposure to second hand smoke (SHS) is one of the major causes of premature death and disease among children. While socioeconomic inequalities exist for adult smoking, such evidence is limited for SHS exposure in children. Thus, this study examined changes over time in socioeconomic inequalities in infants' SHS exposure in Japan. This is a repeated cross-sectional study of 41,833 infants born in 2001 and 32,120 infants born in 2010 in Japan from nationally representative surveys using questionnaires. The prevalence of infants' SHS exposure was determined and related to household income and parental education level. The magnitudes of income and educational inequalities in infants' SHS exposure were estimated in 2001 and 2010 using both absolute and relative inequality indices. The prevalence of SHS exposure in infants declined from 2001 to 2010. The relative index of inequality increased from 0.85 (95% confidence interval [CI], 0.80 to 0.89) to 1.47 (95% CI, 1.37 to 1.56) based on income and from 1.22 (95% CI, 1.17 to 1.26) to 2.09 (95% CI, 2.00 to 2.17) based on education. In contrast, the slope index of inequality decreased from 30.9 (95% CI, 29.3 to 32.6) to 20.1 (95% CI, 18.7 to 21.5) based on income and from 44.6 (95% CI, 43.1 to 46.2) to 28.7 (95% CI, 27.3 to 30.0) based on education. Having only a father who smoked indoors was a major contributor to absolute income inequality in infants' SHS exposure in 2010, which increased in importance from 45.1% in 2001 to 67.0% in 2010. The socioeconomic inequalities in infants' second hand smoke exposure increased in relative terms but decreased in absolute terms from 2001 to 2010. Further efforts are needed to encourage parents to quit smoking and protect infants from second hand smoke exposure, especially in low socioeconomic households that include non-smoking mothers.

Post-millennial trends of socioeconomic inequalities in chronic illness among adults in Germany.

Science.gov (United States)

Hoebel, Jens; Kuntz, Benjamin; Moor, Irene; Kroll, Lars Eric; Lampert, Thomas

2018-03-27

Time trends in health inequalities have scarcely been studied in Germany as only few national data have been available. In this paper, we explore trends in socioeconomic inequalities in the prevalence of chronic illness using Germany-wide data from four cross-sectional health surveys conducted between 2003 and 2012 (n = 54,197; ages 25-69 years). We thereby expand a prior analysis on post-millennial inequality trends in behavioural risk factors by turning the focus to chronic illness as the outcome measure. The regression-based slope index of inequality (SII) and relative index of inequality (RII) were calculated to estimate the extent of absolute and relative socioeconomic inequalities in chronic illness, respectively. The results for men revealed a significant increase in the extent of socioeconomic inequalities in chronic illness between 2003 and 2012 on both the absolute and relative scales (SII 2003  = 0.06, SII 2012  = 0.17, p-trend = 0.013; RII 2003  = 1.18, RII 2012  = 1.57, p-trend = 0.013). In women, similar increases in socioeconomic inequalities in chronic illness were found (SII 2003  = 0.05, SII 2012  = 0.14, p-trend = 0.022; RII 2003  = 1.14, RII 2012  = 1.40, p-trend = 0.021). Whereas in men this trend was driven by an increasing prevalence of chronic illness in the low socioeconomic group, the trend in women was predominantly the result of a declining prevalence in the high socioeconomic group.

Why has happiness inequality increased? Suggestions for promoting social cohesion

OpenAIRE

Leonardo Becchetti; Riccardo Massari; Paolo Naticchioni

2010-01-01

The paper focuses on happiness inequality, an issue rather neglected in the literature. We analyze the increase in happiness inequality observed in Germany between 1991 and 2007 by means of the German Socio-Economic Panel (GSOEP) database. We make use of a recent methodology that allows decomposing the change in happiness inequality into the composition and the coefficient effect for each covariate. We find that the increase in happiness inequality is mainly driven by changes in the compositi...

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.

Unequal Exposure or Unequal Vulnerability? Contributions of Neighborhood Conditions and Cardiovascular Risk Factors to Socioeconomic Inequality in Incident Cardiovascular Disease in the Multi-Ethnic Study of Atherosclerosis.

Science.gov (United States)

Hussein, Mustafa; Diez Roux, Ana V; Mujahid, Mahasin S; Hastert, Theresa A; Kershaw, Kiarri N; Bertoni, Alain G; Baylin, Ana

2017-11-23

Risk factors can drive socioeconomic inequalities in cardiovascular disease (CVD) through differential exposure and differential vulnerability. We show how econometric decomposition directly enables simultaneous, policy-oriented assessment of these two mechanisms. We specifically estimated contributions via these mechanisms of neighborhood environment and proximal risk factors to socioeconomic inequality in CVD incidence. We followed 5,608 participants in the Multi-Ethnic Study of Atherosclerosis (2000-2012) until the first CVD event (median follow-up 12.2 years). We used a summary measure of baseline socioeconomic position (SEP). Covariates included baseline demographics, neighborhood, psychosocial, behavioral, and biomedical risk factors. Using Poisson models, we decomposed the difference (inequality) in incidence rates between low- and high-SEP groups into contributions of 1) differences in covariate means (differential exposure), and 2) differences in CVD risk associated with covariates (differential vulnerability). Notwithstanding large uncertainty in neighborhood estimates, our analysis suggests that differential exposure to poorer neighborhood socioeconomic conditions, adverse social environment, diabetes, and hypertension accounts for most of inequality. Psychosocial and behavioral contributions were negligible. Further, neighborhood SEP, female gender, and White race were more strongly associated with CVD among low-SEP (vs. high-SEP) participants. These differentials in vulnerability also accounted for nontrivial portions of the inequality, and could have important implications for intervention. © The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Socioeconomic inequalities and mortality trends in BRICS, 1990-2010.

Science.gov (United States)

Mújica, Oscar J; Vázquez, Enrique; Duarte, Elisabeth C; Cortez-Escalante, Juan J; Molina, Joaquin; Barbosa da Silva Junior, Jarbas

2014-06-01

To explore the presence and magnitude of--and change in--socioeconomic and health inequalities between and within Brazil, the Russian Federation, India, China and South Africa--the countries known as BRICS--between 1990 and 2010. Comparable data on socioeconomic and health indicators, at both country and primary subnational levels, were obtained from publicly available sources. Health inequalities between and within countries were identified and summarized by using standard gap and gradient metrics. Four of the BRICS countries showed increases in both income level and income inequality between 1990 and 2010. The exception was Brazil, where income inequality decreased over the same period. Between-country inequalities in level of education and access to sanitation remained mostly unchanged but the largest between-country difference in mean life expectancy increased, from 9 years in 1990 to 20 years in 2010. Throughout the study period, there was disproportionality in the burden of disease between BRICS. However, the national infant mortality rate fell substantially over the study period in all five countries. In Brazil and China, the magnitude of subnational income-related inequalities in infant mortality, both absolute and relative, also decreased substantially. Despite the economic prosperity and general improvements in health seen since 1990, profound inequalities in health persist both within and between BRICS. However, the substantial reductions observed--within Brazil and China--in the inequalities in income-related levels of infant mortality are encouraging.

Socioeconomic inequalities in the non-use of dental care in Europe

Science.gov (United States)

2014-01-01

Introduction Oral health is an important component of people’s general health status. Many studies have shown that socioeconomic status is an important determinant of access to health services. In the present study, we explored the inequality and socioeconomic factors associated with people’s non-use of dental care across Europe. Methods We obtained data from the European Union Statistics on Income and Living Conditions survey conducted by Eurostat in 2007. These cross-sectional data were collected from people aged 16 years and older in 24 European countries, except those living in long-term care facilities. The variable of interest was the prevalence of non-use of dental care while needed. We used the direct method of standardisation by age and sex to eliminate confounders in the data. Socioeconomic inequalities in the non-use of dental care were measured through differences in prevalence, the relative concentration index (RCI), and the relative index of inequality (RII). We compared the results among countries and conducted standard and multilevel logistic regression analyses to examine the socioeconomic factors associated with the non-use of dental care while needed. Results The results revealed significant socio-economic inequalities in the non-use of dental care across Europe, the magnitudes of which depended on the measure of inequality used. For example, inequalities in the prevalence of non-use among education levels according to the RCI ranged from 0.005 (in the United Kingdom) to −0.271 (Denmark) for men and from −0.009 (Poland) to 0.176 (Spain) for women, whereas the RII results ranged from 1.21 (Poland) to 11.50 (Slovakia) for men and from 1.62 (Poland) to 4.70 (Belgium) for women. Furthermore, the level-2 variance (random effects) was significantly different from zero, indicating the presence of heterogeneity in the probability of the non-use of needed dental care at the country level. Conclusion Overall, our study revealed considerable

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.

‘Only Fathers Smoking’ Contributes the Most to Socioeconomic Inequalities: Changes in Socioeconomic Inequalities in Infants’ Exposure to Second Hand Smoke over Time in Japan

Science.gov (United States)

Saito, Junko; Tabuchi, Takahiro; Shibanuma, Akira; Yasuoka, Junko; Nakamura, Masakazu; Jimba, Masamine

2015-01-01

Background Exposure to second hand smoke (SHS) is one of the major causes of premature death and disease among children. While socioeconomic inequalities exist for adult smoking, such evidence is limited for SHS exposure in children. Thus, this study examined changes over time in socioeconomic inequalities in infants’ SHS exposure in Japan. Methods This is a repeated cross-sectional study of 41,833 infants born in 2001 and 32,120 infants born in 2010 in Japan from nationally representative surveys using questionnaires. The prevalence of infants’ SHS exposure was determined and related to household income and parental education level. The magnitudes of income and educational inequalities in infants’ SHS exposure were estimated in 2001 and 2010 using both absolute and relative inequality indices. Results The prevalence of SHS exposure in infants declined from 2001 to 2010. The relative index of inequality increased from 0.85 (95% confidence interval [CI], 0.80 to 0.89) to 1.47 (95% CI, 1.37 to 1.56) based on income and from 1.22 (95% CI, 1.17 to 1.26) to 2.09 (95% CI, 2.00 to 2.17) based on education. In contrast, the slope index of inequality decreased from 30.9 (95% CI, 29.3 to 32.6) to 20.1 (95% CI, 18.7 to 21.5) based on income and from 44.6 (95% CI, 43.1 to 46.2) to 28.7 (95% CI, 27.3 to 30.0) based on education. Having only a father who smoked indoors was a major contributor to absolute income inequality in infants’ SHS exposure in 2010, which increased in importance from 45.1% in 2001 to 67.0% in 2010. Conclusions The socioeconomic inequalities in infants’ second hand smoke exposure increased in relative terms but decreased in absolute terms from 2001 to 2010. Further efforts are needed to encourage parents to quit smoking and protect infants from second hand smoke exposure, especially in low socioeconomic households that include non-smoking mothers. PMID:26431400

Socio-Economic Inequality, Human Trafficking, and the Global Slave Trade

Directory of Open Access Journals (Sweden)

John R. Barner

2014-04-01

Full Text Available The purpose of this paper is to discuss human trafficking within the broader framework of socio-economic inequality. The presence of socio-economic inequality in the world creates a system where those in power very easily dominate and take advantage of those people without power. One of the most serious contemporary effects of inequalities between and within nations is the phenomenon of global sex trade or human trafficking for the purposes of sex. Deriving from unequal power relations, human trafficking is a serious global crime that involves the exploitation of many, but mostly females and children. This paper provides an extensive discussion of inequality and its links with human trafficking as contemporary slavery. In conclusion, the paper provides a list of selected intra-national and multi-national service organizations that are adopting strategies for combating trafficking through the reduction of social and economic inequality. Implications for social welfare advocates and international collaborative efforts are highlighted.

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

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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.

Socioeconomic inequality in childhood obesity and its determinants: a Blinder-Oaxaca decomposition.

Science.gov (United States)

Kelishadi, Roya; Qorbani, Mostafa; Heshmat, Ramin; Djalalinia, Shirin; Sheidaei, Ali; Safiri, Saeid; Hajizadeh, Nastaran; Motlagh, Mohammad Esmaeil; Ardalan, Gelayol; Asayesh, Hamid; Mansourian, Morteza

Childhood obesity has become a priority health concern worldwide. Socioeconomic status is one of its main determinants. This study aimed to assess the socioeconomic inequality of obesity in children and adolescents at national and provincial levels in Iran. This multicenter cross-sectional study was conducted in 2011-2012, as part of a national school-based surveillance program performed in 40,000 students, aged 6-18-years, from urban and rural areas of 30 provinces of Iran. Using principle component analysis, the socioeconomic status of participants was categorized to quintiles. Socioeconomic status inequality in excess weight was estimated by calculating the prevalence of excess weight (i.e., overweight, generalized obesity, and abdominal obesity) across the socioeconomic status quintiles, the concentration index, and slope index of inequality. The determinants of this inequality were determined by the Oaxaca Blinder decomposition. Overall, 36,529 students completed the study (response rate: 91.32%); 50.79% of whom were boys and 74.23% were urban inhabitants. The mean (standard deviation) age was 12.14 (3.36) years. The prevalence of overweight, generalized obesity, and abdominal obesity was 11.51%, 8.35%, and 17.87%, respectively. The SII for overweight, obesity and abdominal obesity was -0.1, -0.1 and -0.15, respectively. Concentration index for overweight, generalized obesity, and abdominal obesity was positive, which indicate inequality in favor of low socioeconomic status groups. Area of residence, family history of obesity, and age were the most contributing factors to the inequality of obesity prevalence observed between the highest and lowest socioeconomic status groups. This study provides considerable information on the high prevalence of excess weight in families with higher socioeconomic status at national and provincial levels. These findings can be used for international comparisons and for healthcare policies, improving their programming by

‘Only Fathers Smoking’ Contributes the Most to Socioeconomic Inequalities: Changes in Socioeconomic Inequalities in Infants’ Exposure to Second Hand Smoke over Time in Japan

OpenAIRE

Saito, Junko; Tabuchi, Takahiro; Shibanuma, Akira; Yasuoka, Junko; Nakamura, Masakazu; Jimba, Masamine

2015-01-01

Background Exposure to second hand smoke (SHS) is one of the major causes of premature death and disease among children. While socioeconomic inequalities exist for adult smoking, such evidence is limited for SHS exposure in children. Thus, this study examined changes over time in socioeconomic inequalities in infants’ SHS exposure in Japan. Methods This is a repeated cross-sectional study of 41,833 infants born in 2001 and 32,120 infants born in 2010 in Japan from nationally representative su...

The drivers of happiness inequality: Suggestions for promoting social cohesion

OpenAIRE

Becchetti, Leonardo; Massari, Riccardo; Naticchioni, Paolo

2013-01-01

The goal of this paper is to identify and quantify the contribution of a set of covariates in affecting levels and over time changes of happiness inequality. We make use of a recent methodology that allows decomposing the overall change in happiness inequality into composition and coefficient effects of each covariate. We focus on the increase in happiness inequality observed in Germany between 1991 and 2007 in the German Socio-Economic Panel (GSOEP) database, deriving the following findings....

Tobacco Control Measures to Reduce Socioeconomic Inequality in Smoking: The Necessity, Time-Course Perspective, and Future Implications.

Science.gov (United States)

Tabuchi, Takahiro; Iso, Hiroyasu; Brunner, Eric

2018-04-05

Previous systematic reviews of population-level tobacco control interventions and their effects on smoking inequality by socioeconomic factors concluded that tobacco taxation reduce smoking inequality by income (although this is not consistent for other socioeconomic factors, such as education). Inconsistent results have been reported for socioeconomic differences, especially for other tobacco control measures, such as smoke-free policies and anti-tobacco media campaigns. To understand smoking inequality itself and to develop strategies to reduce smoking inequality, knowledge of the underlying principles or mechanisms of the inequality over a long time-course may be important. For example, the inverse equity hypothesis recognizes that inequality may evolve in stages. New population-based interventions are initially primarily accessed by the affluent and well-educated, so there is an initial increase in socioeconomic inequality (early stage). These inequalities narrow when the deprived population can access the intervention after the affluent have gained maximum benefit (late stage). Following this hypothesis, all tobacco control measures may have the potential to reduce smoking inequality, if they continue for a long term, covering and reaching all socioeconomic subgroups. Re-evaluation of the impact of the interventions on smoking inequality using a long time-course perspective may lead to a favorable next step in equity effectiveness. Tackling socioeconomic inequality in smoking may be a key public health target for the reduction of inequality in health.

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...

Socioeconomic inequalities in HIV/AIDS prevalence in sub-Saharan African countries: evidence from the Demographic Health Surveys

Science.gov (United States)

2014-01-01

Introduction Extant studies universally document a positive gradient between socioeconomic status (SES) and health. A notable exception is the apparent concentration of HIV/AIDS among wealthier individuals. This paper uses data from the Demographic Health Surveys and AIDS Indicator Surveys to examine socioeconomic inequalities in HIV/AIDS prevalence in 24 sub-Saharan African (SSA) countries, the region that accounts for two-thirds of the global HIV/AIDS burden. Methods The relative and generalized concentration indices (RC and GC) were used to quantify wealth-based socioeconomic inequalities in HIV/AIDS prevalence for the total adult population (aged 15-49), for men and women, and in urban and rural areas in each country. Further, we decomposed the RC and GC indices to identify the determinants of socioeconomic inequalities in HIV/AIDS prevalence in each country. Results Our findings demonstrated that HIV/AIDS was concentrated among higher SES individuals in the majority of SSA countries. Swaziland and Senegal were the only countries in the region where HIV/AIDS was concentrated among individuals living in poorer households. Stratified analyses by gender showed HIV/AIDS was generally concentrated among wealthier men and women. In some countries, including Kenya, Lesotho Uganda, and Zambia, HIV/AIDS was concentrated among the poor in urban areas but among wealthier adults in rural areas. Decomposition analyses indicated that, besides wealth itself (median = 49%, interquartile range [IQR] = 90%), urban residence (median = 54%, IQR = 81%) was the most important factor contributing to the concentration of HIV/AIDS among wealthier participants in SSA countries. Conclusions Further work is needed to understand the mechanisms explaining the concentration of HIV/AIDS among wealthier individuals and urban residents in SSA. Higher prevalence of HIV/AIDS could be indicative of better care and survival among wealthier individuals and urban adults, or reflect

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

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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.

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

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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

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

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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.

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

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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

Socio-economic inequity in HIV testing in Malawi

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Sung Wook Kim

2016-10-01

Full Text Available Background: Human immunodeficiency virus (HIV is a significant contributor to Malawi's burden of disease. Despite a number of studies describing socio-economic differences in HIV prevalence, there is a paucity of evidence on socio-economic inequity in HIV testing in Malawi. Objective: To assess horizontal inequity (HI in HIV testing in Malawi. Design: Data from the Demographic and Health Surveys (DHSs 2004 and 2010 in Malawi are used for the analysis. The sample size for DHS 2004 was 14,571 (women =11,362 and men=3,209, and for DHS 2010 it was 29,830 (women=22,716 and men=7,114. The concentration index is used to quantify the amount of socio-economic-related inequality in HIV testing. The inequality is a primary method in this study. Corrected need, a further adjustment of the standard decomposition index, was calculated. Standard HI was compared with corrected need-adjusted inequity. Variables used to measure health need include symptoms of sexually transmitted infections. Non-need variables include wealth, education, literacy and marital status. Results: Between 2004 and 2010, the proportion of the population ever tested for HIV increased from 15 to 75% among women and from 16 to 54% among men. The need for HIV testing among men was concentrated among the relatively wealthy in 2004, but the need was more equitably distributed in 2010. Standard HI was 0.152 in 2004 and 0.008 in 2010 among women, and 0.186 in 2004 and 0.04 in 2010 among men. Rural–urban inequity also fell in this period, but HIV testing remained pro-rich among rural men (HI 0.041. The main social contributors to inequity in HIV testing were wealth in 2004 and education in 2010. Conclusions: Inequity in HIV testing in Malawi decreased between 2004 and 2010. This may be due to the increased support to HIV testing by global donors over this period.

Socioeconomic inequalities and mortality trends in BRICS, 1990–2010

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Mújica, Oscar J; Vázquez, Enrique; Duarte, Elisabeth C; Cortez-Escalante, Juan J; Molina, Joaquin

2014-01-01

Abstract Objective To explore the presence and magnitude of – and change in – socioeconomic and health inequalities between and within Brazil, the Russian Federation, India, China and South Africa – the countries known as BRICS – between 1990 and 2010. Methods Comparable data on socioeconomic and health indicators, at both country and primary subnational levels, were obtained from publicly available sources. Health inequalities between and within countries were identified and summarized by using standard gap and gradient metrics. Findings Four of the BRICS countries showed increases in both income level and income inequality between 1990 and 2010. The exception was Brazil, where income inequality decreased over the same period. Between-country inequalities in level of education and access to sanitation remained mostly unchanged but the largest between-country difference in mean life expectancy increased, from 9 years in 1990 to 20 years in 2010. Throughout the study period, there was disproportionality in the burden of disease between BRICS. However, the national infant mortality rate fell substantially over the study period in all five countries. In Brazil and China, the magnitude of subnational income-related inequalities in infant mortality, both absolute and relative, also decreased substantially. Conclusion Despite the economic prosperity and general improvements in health seen since 1990, profound inequalities in health persist both within and between BRICS. However, the substantial reductions observed – within Brazil and China – in the inequalities in income-related levels of infant mortality are encouraging. PMID:24940014

Socioeconomic differences in emotional symptoms among adolescents in the Nordic countries: recommendations on how to present inequality.

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Nielsen, Line; Damsgaard, Mogens Trab; Meilstrup, Charlotte; Due, Pernille; Madsen, Katrine Rich; Koushede, Vibeke; Holstein, Bjørn Evald

2015-02-01

This comparative study examines absolute and relative socioeconomic differences in emotional symptoms among adolescents using standardised data from five Nordic countries and gives recommendations on how to present socioeconomic inequality. The Health Behaviour in School-aged Children (HBSC) international cross-sectional study from 2005/2006 provided data on 29,642 11-15-year-old adolescents from nationally random samples in Denmark, Finland, Iceland, Norway and Sweden. The outcome was daily emotional symptoms. Family Affluence Scale (FAS) was used as indicator of socioeconomic position. We applied four summary measures of inequality: Prevalence Difference, Odds Ratio, Slope Index of Inequality and Relative Index of Inequality, and presented the socioeconomic inequality by a graphical illustration of the prevalence of emotional symptoms, the size of the FAS groups and the summary indices of inequality in each country. The prevalence of emotional symptoms ranged from 8.1% in Denmark to 13.2% in Iceland. There were large country variations in the size of the low FAS-group ranging from 2% in Iceland to 12% in Finland. The largest absolute and relative socioeconomic inequalities were found in Iceland and the smallest in Finland for girls and in Denmark for boys. Emotional symptoms were more common among nordic adolescents from low affluence families this association appeared in the study of both absolute and relative inequality. A comprehensive presentation of socioeconomic inequality should include the prevalence of the health outcome, the size of the socioeconomic groups, and the regression line representing the summary indices of inequality. © 2014 the Nordic Societies of Public Health.

Cross-national comparison of socioeconomic inequalities in obesity in the United States and Canada.

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Siddiqi, Arjumand; Brown, Rashida; Nguyen, Quynh C; Loopstra, Rachel; Kawachi, Ichiro

2015-10-31

Prior cross-national studies of socioeconomic inequalities in obesity have only compared summary indices of inequality but not specific, policy-relevant dimensions of inequality: (a) shape of the socioeconomic gradient in obesity, (b) magnitude of differentials in obesity across socioeconomic levels and, (c) level of obesity at any given socioeconomic level. We use unique data on two highly comparable societies - U.S. and Canada - to contrast each of these inequality dimensions. Data came from the 2002/2003 Joint Canada/U.S. Survey of Health. We calculated adjusted prevalence ratios (APRs) for obesity (compared to normal weight) by income quintile and education group separately for both nations and, between Canadians and Americans in the same income or education group. In the U.S., every socioeconomic group except the college educated had significant excess prevalence of obesity. By contrast in Canada, only those with less than high school were worse off, suggesting that the shape of the socioeconomic gradient differs in the two countries. U.S. differentials between socioeconomic levels were also larger than in Canada (e.g., PR quintile 1 compared to quintile 5 was 1.82 in the U.S. [95 % CI: 1.52-2.19] but 1.45 in Canada [95 % CI: 1.10-1.91]). At the lower end of the socioeconomic gradient, obesity was more prevalent in the U.S. than in Canada. Our results suggest there is variation between U.S. and Canada in different dimensions of socioeconomic inequalities in obesity. Future research should examine a broader set of nations and test whether specific policies or environmental exposures can explain these differences.

Measuring socio-economic inequality: From dwellers' perspective within Bangalore urban agglomeration

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Keya Chakraborty

2015-06-01

Full Text Available Planners and researchers have realized that larger regional framework of urban areas are significant in assessing various inequality aspects in a developing country like India. The framework consists of heterogeneity in spatial and demographic aspects and in quality of socio-economic development levels as well. Against this background, the present paper has proposed a methodological framework to assess socio-economic inequality within Bangalore Urban Agglomeration (BUA as governed by the composite set of Human Development Index (HDI based indicators. Assessments are based on local data of dwellers' preferences on the indicators. On the whole, this paper has tried to establish the significance of application of HDI based indicators in an assessment of socio-economic inequality within BUA. Consequently, the paper has arrived at the need for improvement of comprehensive HDI governed basic public services, amenities, and advanced facilities, across all trans-urban-area levels to ensure a holistic development within BUA.

Robust rankings of socioeconomic health inequality using a categorical variable.

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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.

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

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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

Socioeconomic Inequalities in the Kidney Transplantation Process: A Registry-Based Study in Sweden

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Ye Zhang, MSc

2018-02-01

Conclusions. Socioeconomic status-related inequalities exist with regard to both access to the waitlist, and kidney transplantation conditional on listing. However, the former inequality is substantially larger and is therefore expected to contribute more to societal inequalities. Further studies are needed to explore the potential mechanisms and strategies to reduce these inequalities.

Socio-Economic Inequalities in the Use of Postnatal Care in India

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Singh, Abhishek; Padmadas, Sabu S.; Mishra, Udaya S.; Pallikadavath, Saseendran; Johnson, Fiifi A.; Matthews, Zoe

2012-01-01

Objectives First, our objective was to estimate socio-economic inequalities in the use of postnatal care (PNC) compared with those in the use of care at birth and antenatal care. Second, we wanted to compare inequalities in the use of PNC between facility births and home births and to determine inequalities in the use of PNC among mothers with high-risk births. Methods and Findings Rich–poor ratios and concentration indices for maternity care were estimated using the third round of the District Level Household Survey conducted in India in 2007–08. Binary logistic regression models were used to examine the socio-economic inequalities associated with use of PNC after adjusting for relevant socio-economic and demographic characteristics. PNC for both mothers and newborns was substantially lower than the care received during pregnancy and child birth. Only 44% of mothers in India at the time of survey received any care within 48 hours after birth. Likewise, only 45% of newborns received check-up within 24 hours of birth. Mothers who had home births were significantly less likely to have received PNC than those who had facility births, with significant differences across the socio-economic strata. Moreover, the rich-poor gap in PNC use was significantly wider for mothers with birth complications. Conclusions PNC use has been unacceptably low in India given the risks of mortality for mothers and babies shortly after birth. However, there is evidence to suggest that effective use of pregnancy and childbirth care in health facilities led to better PNC. There are also significant socio-economic inequalities in access to PNC even for those accessing facility-based care. The coverage of essential PNC is inadequate, especially for mothers from economically disadvantaged households. The findings suggest the need for strengthening PNC services to keep pace with advances in coverage for care at birth and prenatal services in India through targeted policy interventions. PMID

Socio-economic inequalities in the use of postnatal care in India.

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Abhishek Singh

Full Text Available OBJECTIVES: First, our objective was to estimate socio-economic inequalities in the use of postnatal care (PNC compared with those in the use of care at birth and antenatal care. Second, we wanted to compare inequalities in the use of PNC between facility births and home births and to determine inequalities in the use of PNC among mothers with high-risk births. METHODS AND FINDINGS: Rich-poor ratios and concentration indices for maternity care were estimated using the third round of the District Level Household Survey conducted in India in 2007-08. Binary logistic regression models were used to examine the socio-economic inequalities associated with use of PNC after adjusting for relevant socio-economic and demographic characteristics. PNC for both mothers and newborns was substantially lower than the care received during pregnancy and child birth. Only 44% of mothers in India at the time of survey received any care within 48 hours after birth. Likewise, only 45% of newborns received check-up within 24 hours of birth. Mothers who had home births were significantly less likely to have received PNC than those who had facility births, with significant differences across the socio-economic strata. Moreover, the rich-poor gap in PNC use was significantly wider for mothers with birth complications. CONCLUSIONS: PNC use has been unacceptably low in India given the risks of mortality for mothers and babies shortly after birth. However, there is evidence to suggest that effective use of pregnancy and childbirth care in health facilities led to better PNC. There are also significant socio-economic inequalities in access to PNC even for those accessing facility-based care. The coverage of essential PNC is inadequate, especially for mothers from economically disadvantaged households. The findings suggest the need for strengthening PNC services to keep pace with advances in coverage for care at birth and prenatal services in India through targeted policy

A framework for evaluating the impact of obesity prevention strategies on socioeconomic inequalities in weight.

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Backholer, Kathryn; Beauchamp, Alison; Ball, Kylie; Turrell, Gavin; Martin, Jane; Woods, Julie; Peeters, Anna

2014-10-01

We developed a theoretical framework to organize obesity prevention interventions by their likely impact on the socioeconomic gradient of weight. The degree to which an intervention involves individual agency versus structural change influences socioeconomic inequalities in weight. Agentic interventions, such as standalone social marketing, increase socioeconomic inequalities. Structural interventions, such as food procurement policies and restrictions on unhealthy foods in schools, show equal or greater benefit for lower socioeconomic groups. Many obesity prevention interventions belong to the agento-structural types of interventions, and account for the environment in which health behaviors occur, but they require a level of individual agency for behavioral change, including workplace design to encourage exercise and fiscal regulation of unhealthy foods or beverages. Obesity prevention interventions differ in their effectiveness across socioeconomic groups. Limiting further increases in socioeconomic inequalities in obesity requires implementation of structural interventions. Further empirical evaluation, especially of agento-structural type interventions, remains crucial.

Traversing myths and mountains: addressing socioeconomic inequities in the promotion of nutrition and physical activity behaviours.

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Ball, Kylie

2015-11-14

In developed countries, individuals experiencing socioeconomic disadvantage - whether a low education level, low income, low-status occupation, or living in a socioeconomically disadvantaged neighbourhood - are less likely than those more advantaged to engage in eating and physical activity behaviours conducive to optimal health. These socioeconomic inequities in nutrition and physical activity (and some sedentary) behaviours are graded, persistent, and evident across multiple populations and studies. They are concerning in that they mirror socioeconomic inequities in obesity and in health outcomes. Yet there remains a dearth of evidence of the most effective means of addressing these inequities. People experiencing disadvantage face multiple challenges to healthy behaviours that can appear insurmountable. With increasing recognition of the role of underlying structural and societal factors as determinants of nutrition and physical activity behaviours and inequities in these behaviours, and the limited success of behaviour change approaches in addressing these inequities, we might wonder whether there remains a role for behavioural scientists to tackle these challenges. This debate piece argues that behavioural scientists can play an important role in addressing socioeconomic inequities in nutrition, physical activity and sedentary behaviours, and that this will involve challenging myths and taking on new perspectives. There are successful models for doing so from which we can learn. Addressing socioeconomic inequities in eating, physical activity and sedentary behaviours is challenging. However, successful examples demonstrate that overcoming such challenges is possible, and provide guidance for doing so. Given the disproportionate burden of ill health carried by people experiencing socioeconomic disadvantage, all our nutrition and physical activity interventions, programs and policies should be designed to reach and positively impact these individuals at greatest

Socio-Economic Development and Gender Inequality in India

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Razvi, Meena; Roth, Gene L.

2004-01-01

Gender discrimination in India affects poor women's socio-economic development. This paper describes and interprets recurrent themes indicating that the Indian government, non-governmental organizations (NGOs), and other international human rights organizations show growing concerns regarding gender inequality in India. As it is not within the…

Socioeconomic inequalities in health in the context of multimorbidity: A Korean panel study.

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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.

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

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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.

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

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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.

Socio-economic inequalities in overweight among adults in Turkey: a regional evaluation

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Ergin, Isil; Hassoy, Hur; Kunst, Anton

2012-01-01

Objective: Patterns of socio-economic inequalities in obesity and overweight have not been documented for Turkey. The present study aimed to describe educational and wealth-related inequalities for overweight in Turkey, taking a regional perspective. Design: Cross-sectional self-reported data of the

Socioeconomic status and health inequalities for cardiovascular prevention among elderly Spaniards.

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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.

Has the economic crisis widened the intraurban socioeconomic inequalities in mortality? The case of Barcelona, Spain.

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Maynou, Laia; Saez, Marc; Lopez-Casasnovas, Guillem

2016-02-01

There is considerable evidence demonstrating socioeconomic inequalities in mortality, some of which focuses on intraurban inequalities. However, all the studies assume that the spatial variation of inequalities is stable over the time. We challenge this assumption and propose two hypotheses: (i) have spatial variations in socioeconomic inequalities in mortality at an intraurban level changed over time? and (ii) as a result of the economic crisis, has the gap between such disparities widened? In this paper, our objective is to assess the effect of the economic recession on the spatio-temporal variation of socioeconomic inequalities in mortality in Barcelona (Catalonia, Spain). We used a spatio-temporal ecological design to analyse mortality inequalities at small area level in Barcelona. Mortality data and socioeconomic indicators correspond to the years 2005 and 2008-2011. We specified spatio-temporal ecological mixed regressions for both men and women using two indicators, neighbourhood and year. We allowed the coefficients of the socioeconomic variables to differ according to the levels and explicitly took into account spatio-temporal adjustment. For men and women both absolute and, above all, relative risks for mortality have increased since 2009. In relative terms, this means that the risk of dying has increased much more in the most economically deprived neighbourhoods than in the more affluent ones. Although the geographical pattern in relative risks for mortality in neighbourhoods in Barcelona remained very stable between 2005 and 2011, socioeconomic inequalities in mortality at an intraurban level have surged since 2009. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Mother's education is the most important factor in socio-economic inequality of child stunting in Iran.

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Emamian, Mohammad Hassan; Fateh, Mansooreh; Gorgani, Neman; Fotouhi, Akbar

2014-09-01

Malnutrition is one of the most important health problems, especially in developing countries. The present study aimed to describe the socio-economic inequality in stunting and its determinants in Iran for the first time. Cross-sectional, population-based survey, carried out in 2009. Using randomized cluster sampling, weight and height of children were measured and anthropometric indices were calculated based on child growth standards given by the WHO. Socio-economic status of families was determined using principal component analysis on household assets and social specifications of families. The concentration index was used to calculate socio-economic inequality in stunting and its determinants were measured by decomposition of this index. Factors affecting the gap between socio-economic groups were recognized by using the Oaxaca-Blinder decomposition method. Shahroud District in north-eastern Iran. Children (n 1395) aged economic inequality in stunting was -0·1913. Mother's education contributed 70 % in decomposition of this index. Mean height-for-age Z-score was -0·544 and -0·335 for low and high socio-economic groups, respectively. Mother's education was the factor contributing most to the gap between these two groups. There was a significant socio-economic inequality in the studied children. If mother's education is distributed equally in all the different groups of Iranian society, one can expect to eliminate 70 % of the socio-economic inequalities. Even in high socio-economic groups, the mean height-for-age Z-score was lower than the international standards. These issues emphasize the necessity of applying new interventions especially for the improvement of maternal education.

Socioeconomic Inequalities in Neglected Tropical Diseases: a Systematic Review

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A.J. Houweling (Tanja); H.E. Karim-Kos (Henrike); M.C. Kulik (Margarete); W.A. Stolk (Wilma); J.A. Haagsma (Juanita); E.J. Lenk (Edeltraud J.); J.H. Richardus (Jan Hendrik); S.J. de Vlas (Sake)

2016-01-01

markdownabstract__Background:__ Neglected tropical diseases (NTDs) are generally assumed to be concentrated in poor populations, but evidence on this remains scattered. We describe within-country socioeconomic inequalities in nine NTDs listed in the London Declaration for intensified control and/or

Socioeconomic inequities in the health and nutrition of children in low/middle income countries

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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...

Occupational structure and socioeconomic inequality: a comparative study between Brazil and the United States

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Alexandre Gori Maia

2015-08-01

Full Text Available ABSTRACTThis paper explores how occupational structure is associated with economic inequality in Brazil in comparison to the United States. Changes in the Brazilian and American occupational structures between 1983 and 2011 are investigated in order to assess how closely they generate high socioeconomic inequalities. The effects of education, age, gender and race on occupational attainment are taken into account. Highlights of the results include: (1 a higher level of socioeconomic development in the American occupational structure, reflecting huge socioeconomic differences between these countries; (2 a tenuous convergence between the Brazilian and American occupational structures; (3 a significant decrease in the net impacts of education, age, gender and race on occupational attainment (i.e., reduced social stratification in both countries. These results suggest the analytical worth of considering occupational structure as a significant intermediate variable affecting the level of socioeconomic inequality within a country over time, as well as between two countries at a given point in time.

Socioeconomic Inequality in mortality using 12-year follow-up data from nationally representative surveys in South Korea.

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Khang, Young-Ho; Kim, Hye-Ryun

2016-03-22

Investigations into socioeconomic inequalities in mortality have rarely used long-term mortality follow-up data from nationally representative samples in Asian countries. A limited subset of indicators for socioeconomic position was employed in prior studies on socioeconomic inequalities in mortality. We examined socioeconomic inequalities in mortality using follow-up 12-year mortality data from nationally representative samples of South Koreans. A total of 10,137 individuals who took part in the 1998 and 2001 Korea National Health and Nutrition Examination Surveys were linked to mortality data from Statistics Korea. Of those individuals, 1,219 (12.1 %) had died as of December 2012. Cox proportional hazard models were used to estimate the relative risks of mortality according to a wide range of socioeconomic position (SEP) indicators after taking into account primary sampling units, stratification, and sample weights. Our analysis showed strong evidence that individuals with disadvantaged SEP indicators had greater all-cause mortality risks than their counterparts. The magnitude of the association varied according to gender, age group, and specific SEP indicators. Cause-specific analyses using equivalized income quintiles showed that the magnitude of mortality inequalities tended to be greater for cardiovascular disease and external causes than for cancer. Inequalities in mortality exist in every aspect of SEP indicators, both genders, and age groups, and four broad causes of deaths. The South Korean economic development, previously described as effective in both economic growth and relatively equitable income distribution, should be scrutinized regarding its impact on socioeconomic mortality inequalities. Policy measures to reduce inequalities in mortality should be implemented in South Korea.

Socioeconomic inequality in abdominal obesity among older people in Purworejo District, Central Java, Indonesia - a decomposition analysis approach.

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Pujilestari, Cahya Utamie; Nyström, Lennarth; Norberg, Margareta; Weinehall, Lars; Hakimi, Mohammad; Ng, Nawi

2017-12-12

Obesity has become a global health challenge as its prevalence has increased globally in recent decades. Studies in high-income countries have shown that obesity is more prevalent among the poor. In contrast, obesity is more prevalent among the rich in low- and middle-income countries, hence requiring different focal points to design public health policies in the latter contexts. We examined socioeconomic inequalities in abdominal obesity in Purworejo District, Central Java, Indonesia and identified factors contributing to the inequalities. We utilised data from the WHO-INDEPTH Study on global AGEing and adult health (WHO-INDEPTH SAGE) conducted in the Purworejo Health and Demographic Surveillance System (HDSS) in Purworejo District, Indonesia in 2010. The study included 14,235 individuals aged 50 years and older. Inequalities in abdominal obesity across wealth groups were assessed separately for men and women using concentration indexes. Decomposition analysis was conducted to assess the determinants of socioeconomic inequalities in abdominal obesity. Abdominal obesity was five-fold more prevalent among women than in men (30% vs. 6.1%; p < 0.001). The concentration index (CI) analysis showed that socioeconomic inequalities in abdominal obesity were less prominent among women (CI = 0.26, SE = 0.02, p < 0.001) compared to men (CI = 0.49, SE = 0.04, p < 0.001). Decomposition analysis showed that physical labour was the major determinant of socioeconomic inequalities in abdominal obesity among men, explaining 47% of the inequalities, followed by poor socioeconomic status (31%), ≤ 6 years of education (15%) and current smoking (11%). The three major determinants of socioeconomic inequalities in abdominal obesity among women were poor socio-economic status (48%), physical labour (17%) and no formal education (16%). Abdominal obesity was more prevalent among older women in a rural Indonesian setting. Socioeconomic inequality in

Income inequality, socioeconomic deprivation and depressive symptoms among older adults in Mexico.

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Fernández-Niño, Julián Alfredo; Manrique-Espinoza, Betty Soledad; Bojorquez-Chapela, Ietza; Salinas-Rodríguez, Aarón

2014-01-01

Depression is the second most common mental disorder in older adults (OA) worldwide. The ways in which depression is influenced by the social determinants of health - specifically, by socioeconomic deprivation, income inequality and social capital - have been analyzed with only partially conclusive results thus far. The objective of our study was to estimate the association of income inequality and socioeconomic deprivation at the locality, municipal and state levels with the prevalence of depressive symptoms among OA in Mexico. Cross-sectional study based on a nationally representative sample of 8,874 OA aged 60 and over. We applied the brief seven-item version of the Center for Epidemiologic Studies Depression Scale (CES-D) to determine the presence of depressive symptoms. Additionally, to select the principal context variables, we used the Deprivation Index of the National Population Council of Mexico at the locality, municipal and state levels, and the Gini Index at the municipal and state levels. Finally, we estimated the association of income inequality and socioeconomic deprivation with the presence of depressive symptoms using a multilevel logistic regression model. Socioeconomic deprivation at the locality (OR = 1.28; pinequality did not. The results of our study confirm that the social determinants of health are relevant to the mental health of OA. Further research is required, however, to identify which are the specific socioeconomic deprivation components at the locality and municipal levels that correlate with depression in this population group.

Short communication: Persistent socio-economic inequality in frequent headache among Danish adolescents from 1991 to 2014.

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Holstein, B E; Andersen, A; Denbaek, A M; Johansen, A; Michelsen, S I; Due, P

2018-05-01

The association between socio-economic status (SES) and headache among adolescents is an understudied issue, and no study has examined whether such an association changes over time. The aim was to examine trends in socio-economic inequality in frequent headache among 11- to 15-year-olds in Denmark from 1991 to 2014, using occupational social class (OSC) as indicator of SES. The study applies data from the Danish part of the international Health Behaviour in School-aged Children (HBSC) study. HBSC includes nationally representative samples of 11-, 13- and 15-year-olds. This study combines data from seven data survey years from 1991 to 2014, participation rate 88.6%, n = 31,102. We report absolute inequality as per cent difference in frequent headache between high and low OSC and relative inequality as odds ratio for frequent headache by OSC. In the entire study population, 10.4% reported frequent headache. There was a significant increase in frequent headache from 8.0% in 1991 to 12.9% in 2014, test for trend, p economic inequality in frequent headache was persistent from 1991 to 2014. There was a significant and persistent socio-economic inequality, i.e. increasing prevalence of frequent headache with decreasing OSC. The association between socio-economic position and headache did not significantly change over time, i.e. the statistical interaction between OSC and survey year was insignificant. The prevalence of frequent headache among adolescents increases with decreasing SES. This socio-economic inequality has been persistent among adolescents in Denmark from 1991 to 2014. Clinicians should be aware of this social inequality. © 2018 European Pain Federation - EFIC®.

Smaller socioeconomic inequalities in health among women: the role of employment status

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Stronks, K.; van de Mheen, H.; van den Bos, J.; Mackenbach, J. P.

1995-01-01

Socioeconomic inequalities in health are smaller among women than among men. In this paper, it is hypothesized that this is due to a gender difference in employment status. We used data from the baseline of a Dutch longitudinal study. The socioeconomic indicators were educational level of the

Socioeconomic inequalities in the healthiness of food choices: Exploring the contributions of food expenditures

OpenAIRE

Pechey, Rachel; Monsivais, Pablo

2016-01-01

Investigations of the contribution of food costs to socioeconomic inequalities in diet quality may have been limited by the use of estimated (vs. actual) food expenditures, not accounting for where individuals shop, and possible reverse mediation between food expenditures and healthiness of food choices. This study aimed to explore the extent to which food expenditure mediates socioeconomic inequalities in the healthiness of household food choices. Observational panel data on take-home food a...

Seasonal Dynamics of Academic Achievement Inequality by Socioeconomic Status and Race/Ethnicity

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Quinn, David M.; Cooc, North; McIntyre, Joe; Gomez, Celia J.

2016-01-01

Early studies examining seasonal variation in academic achievement inequality generally concluded that socioeconomic test score gaps grew more over the summer than the school year, suggesting schools served as "equalizers." In this study, we analyze seasonal trends in socioeconomic status (SES) and racial/ethnic test score gaps using…

Socioeconomic inequalities of child malnutrition in Bangladesh during 2007-2011

OpenAIRE

Pulok, Mohammad Habibullah; Sabah, Md Nasim-Us Sabah; Enemark, Ulrika

2014-01-01

This study investigates how socioeconomic status and demographic factors determine child malnutrition as well as how these factors account for socioeconomic inequality in child malnutrition over 2007-2011 in Bangladesh. The dataset of this study originates from two cross sectional rounds (2007 and 2011) of the Bangladesh Demographic and Health Survey (BDHS). This study uses standard ordinary least square (OLS) models to estimate the determinants of child malnutrition. This study then employs...

Socioeconomic inequalities in knee pain, knee osteoarthritis, and health-related quality of life

DEFF Research Database (Denmark)

Kiadaliri, A. A.; Gerhardsson de Verdier, Maria; Turkiewicz, Aleksandra

2017-01-01

L questionnaires. We used the individuals’ level of education and occupation as socioeconomic status (SES) measures, and we calculated the relative index of inequality (RII) using Poisson regression with robust standard errors adjusted for age and gender. We applied weighting to account for a possible selection......Objectives: To determine socioeconomic inequalities in frequent knee pain (FKP), knee osteoarthritis (OA), and associated health-related quality of life (HRQoL) in Sweden. Method: In 2007 a postal questionnaire about knee pain was sent to a random sample of 10 000 residents of Malmö, Sweden (7402...

Structural inequalities drive late HIV diagnosis: The role of black racial concentration, income inequality, socioeconomic deprivation, and HIV testing

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Ransome, Yusuf; Kawachi, Ichiro; Braunstein, Sarah; Nash, Denis

2017-01-01

In the United States, research is limited on the mechanisms that link socioeconomic and structural factors to HIV diagnosis outcomes. We tested whether neighborhood income inequality, socioeconomic deprivation, and black racial concentration were associated with gender-specific rates of HIV in the advanced stages of AIDS (i.e., late HIV diagnosis). We then examined whether HIV testing prevalence and accessibility mediated any of the associations above. Neighborhoods with highest (relative to lowest) black racial concentration had higher relative risk of late HIV diagnosis among men (RR=1.86; 95%CI=1.15, 3.00) and women (RR=5.37; 95% CI=3.16, 10.43) independent of income inequality and socioeconomic deprivation. HIV testing prevalence and accessibility did not significantly mediate the associations above. Research should focus on mechanisms that link black racial concentration to HIV diagnosis outcomes. PMID:27770671

Trends in absolute socioeconomic inequalities in mortality in Sweden and New Zealand. A 20-year gender perspective

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Blakely Tony

2006-06-01

Full Text Available Abstract Background Both trends in socioeconomic inequalities in mortality, and cross-country comparisons, may give more information about the causes of health inequalities. We analysed trends in socioeconomic differentials by mortality from early 1980s to late 1990s, comparing Sweden with New Zealand. Methods The New Zealand Census Mortality Study (NZCMS consisting of over 2 million individuals and the Swedish Survey of Living Conditions (ULF comprising over 100, 000 individuals were used for analyses. Education and household income were used as measures of socioeconomic position (SEP. The slope index of inequality (SII was calculated to estimate absolute inequalities in mortality. Analyses were based on 3–5 year follow-up and limited to individuals aged 25–77 years. Age standardised mortality rates were calculated using the European population standard. Results Absolute inequalities in mortality on average over the 1980s and 1990s for both men and women by education were similar in Sweden and New Zealand, but by income were greater in Sweden. Comparing trends in absolute inequalities over the 1980s and 1990s, men's absolute inequalities by education decreased by 66% in Sweden and by 17% in New Zealand (p for trend Conclusion Trends in socioeconomic inequalities in mortality were clearly most favourable for men in Sweden. Trends also seemed to be more favourable for men than women in New Zealand. Assuming the trends in male inequalities in Sweden were not a statistical chance finding, it is not clear what the substantive reason(s was for the pronounced decrease. Further gender comparisons are required.

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...

Rethinking the relationship between socioeconomic status and health: Challenging how socioeconomic status is currently used in health inequality research.

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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.

Socioeconomic inequalities and determinants of oral hygiene status among Urban Indian adolescents.

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Mathur, Manu Raj; Tsakos, Georgios; Parmar, Priyanka; Millett, Christopher J; Watt, Richard G

2016-06-01

To assess the socioeconomic inequalities in oral hygiene and to explore the role of various socioeconomic and psychosocial factors as determinants of these inequalities among adolescents residing in Delhi National Capital Territory. A cross-sectional study was conducted among 1386 adolescents aged 12-15 years from three different socioeconomic groups according to their area of residence (middle-class areas, resettlement colonies and urban slum colonies). Level of oral hygiene was examined clinically using the Simplified Oral Hygiene Index (OHI-S), and an interviewer-administered questionnaire was used to measure key socio-demographic variables and psychosocial and health-related behaviours. Logistic regression analysis tested the association between area of residence and poor oral hygiene. Poor oral hygiene was observed in 50.2% of the adolescents. There was a socioeconomic gradient in poor oral hygiene, with higher prevalence observed at each level of deprivation. These differences were only partly explained, and the differences between adolescent groups remained statistically significant after adjusting for various demographic variables, standard of living, social capital, social support and health-affecting behaviours (OR: 1.96, 95% CI: 1.30-2.76; and OR: 2.50, 95% CI: 1.60-3.92 for adolescents from resettlement colonies and urban slums, respectively, than middle-class adolescents). Area of residence emerged as a strong socioeconomic predictor of prevalence of poor oral hygiene among Indian adolescents. Various material, psychosocial and behavioural factors did not fully explain the observed inequalities in poor oral hygiene among different adolescent groups. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Socioeconomic multi-domain health inequalities in Dutch primary school children

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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

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

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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.

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

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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.

Structural inequalities drive late HIV diagnosis: The role of black racial concentration, income inequality, socioeconomic deprivation, and HIV testing.

Science.gov (United States)

Ransome, Yusuf; Kawachi, Ichiro; Braunstein, Sarah; Nash, Denis

2016-11-01

In the United States, research is limited on the mechanisms that link socioeconomic and structural factors to HIV diagnosis outcomes. We tested whether neighborhood income inequality, socioeconomic deprivation, and black racial concentration were associated with gender-specific rates of HIV in the advanced stages of AIDS (i.e., late HIV diagnosis). We then examined whether HIV testing prevalence and accessibility mediated any of the associations above. Neighborhoods with highest (relative to lowest) black racial concentration had higher relative risk of late HIV diagnosis among men (RR=1.86; 95%CI=1.15, 3.00) and women (RR=5.37; 95%CI=3.16, 10.43) independent of income inequality and socioeconomic deprivation. HIV testing prevalence and accessibility did not significantly mediate the associations above. Research should focus on mechanisms that link black racial concentration to HIV diagnosis outcomes. Copyright © 2016 Elsevier Ltd. All rights reserved.

Socio-economic influences on gender inequalities in child health in rural Bangladesh.

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Rousham, E K

1996-08-01

To investigate gender inequalities in child growth and nutritional status in relation to socio-economic status in Bangladesh. A 16-month longitudinal study of child growth measuring anthropometric and socio-economic status. A rural area of Jamalpur district, northern Bangladesh. 1366 children from 2 to 6 years of age. Child height and weight were measured monthly. Morbidity, food intake and health-seeking behaviours were assessed fortnightly. Multivariable analyses were performed on the growth and nutritional status of male and female children in relation to socio-economic factors including father's occupation, parental education, birth order and family size. There was no evidence of gender bias in farming and trading/employee households but landless female children had significantly poorer height-for-age (P Bangladesh varied significantly according to occupational status, such that the effect of sex was dependent upon occupation. These effects were statistically significant during the period of natural disaster but became insignificant as local conditions improved. This demonstrates both temporal and socio-economic variation in gender inequalities in health.

Understanding socio-economic inequalities in food choice behaviour: can Maslow's pyramid help?

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van Lenthe, Frank J; Jansen, Tessa; Kamphuis, Carlijn B M

2015-04-14

Socio-economic groups differ in their material, living, working and social circumstances, which may result in different priorities about their daily-life needs, including the priority to make healthy food choices. Following Maslow's hierarchy of human needs, we hypothesised that socio-economic inequalities in healthy food choices can be explained by differences in the levels of need fulfilment. Postal survey data collected in 2011 (67·2 % response) from 2903 participants aged 20-75 years in the Dutch GLOBE (Gezondheid en Levens Omstandigheden Bevolking Eindhoven en omstreken) study were analysed. Maslow's hierarchy of human needs (measured with the Basic Need Satisfaction Inventory) was added to age- and sex-adjusted linear regression models that linked education and net household income levels to healthy food choices (measured by a FFQ). Most participants (38·6 %) were in the self-actualisation layer of the pyramid. This proportion was highest among the highest education group (47·6 %). Being in a higher level of the hierarchy was associated with a higher consumption of fruits and vegetables as well as more healthy than unhealthy bread, snack and dairy consumption. Educational inequalities in fruit and vegetable intake (B= -1·79, 95 % CI -2·31, -1·28 in the lowest education group) were most reduced after the hierarchy of needs score was included (B= -1·57, 95 % CI - ·09, -1·05). Inequalities in other healthy food choices hardly changed after the hierarchy of needs score was included. People who are satisfied with higher-level needs make healthier food choices. Studies aimed at understanding socio-economic inequalities in food choice behaviour need to take differences in the priority given to daily-life needs by different socio-economic groups into account, but Maslow's pyramid offers little help.

Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms.

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Koopman, Carla; van Oeffelen, Aloysia A M; Bots, Michiel L; Engelfriet, Peter M; Verschuren, W M Monique; van Rossem, Lenie; van Dis, Ineke; Capewell, Simon; Vaartjes, Ilonca

2012-08-07

Socioeconomic status has a profound effect on the risk of having a first acute myocardial infarction (AMI). Information on socioeconomic inequalities in AMI incidence across age-gender-groups is lacking. Our objective was to examine socioeconomic inequalities in the incidence of AMI considering both relative and absolute measures of risk differences, with a particular focus on age and gender. We identified all patients with a first AMI from 1997 to 2007 through linked hospital discharge and death records covering the Dutch population. Relative risks (RR) of AMI incidence were estimated by mean equivalent household income at neighbourhood-level for strata of age and gender using Poisson regression models. Socioeconomic inequalities were also shown within the stratified age-gender groups by calculating the total number of events attributable to socioeconomic disadvantage. Between 1997 and 2007, 317,564 people had a first AMI. When comparing the most deprived socioeconomic quintile with the most affluent quintile, the overall RR for AMI was 1.34 (95 % confidence interval (CI): 1.32-1.36) in men and 1.44 (95 % CI: 1.42-1.47) in women. The socioeconomic gradient decreased with age. Relative socioeconomic inequalities were most apparent in men under 35 years and in women under 65 years. The largest number of events attributable to socioeconomic inequalities was found in men aged 45-74 years and in women aged 65-84 years. The total proportion of AMIs that was attributable to socioeconomic inequalities in the Dutch population of 1997 to 2007 was 14 % in men and 18 % in women. Neighbourhood socioeconomic inequalities were observed in AMI incidence in the Netherlands, but the magnitude across age-gender groups depended on whether inequality was expressed in relative or absolute terms. Relative socioeconomic inequalities were high in young persons and women, where the absolute burden of AMI was low. Absolute socioeconomic inequalities in AMI were highest in

Assessing socioeconomic inequalities of hypertension among women in Indonesia's major cities.

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Christiani, Y; Byles, J E; Tavener, M; Dugdale, P

2015-11-01

Although hypertension has been recognized as one of the major public health problems, few studies address economic inequality of hypertension among urban women in developing countries. To assess this issue, we analysed data for 1400 women from four of Indonesia's major cities: Jakarta, Surabaya, Medan and Bandung. Women were aged ⩾15 years (mean age 35.4 years), and were participants in the 2007/2008 Indonesia Family Life Survey. The prevalence of hypertension measured by digital sphygmomanometer among this population was 31%. Using a multivariable logistic regression model, socioeconomic disadvantage (based on household assets and characteristics) as well as age, body mass index and economic conditions were significantly associated with hypertension (Pwork highlights the importance of socioeconomic inequality in the development of hypertension, and particularly the effects of education level.

Socioeconomic inequality in neonatal mortality in countries of low and middle income: a multicountry analysis.

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

2014-03-01

Neonatal mortality rates (NMRs) in countries of low and middle income have been only slowly decreasing; coverage of essential maternal and newborn health services needs to increase, particularly for disadvantaged populations. Our aim was to produce comparable estimates of changes in socioeconomic inequalities in NMR in the past two decades across these countries. We used data from Demographic and Health Surveys (DHS) for countries in which a survey was done in 2008 or later and one about 10 years previously. We measured absolute inequalities with the slope index of inequality and relative inequalities with the relative index of inequality. We used an asset-based wealth index and maternal education as measures of socioeconomic position and summarised inequality estimates for all included countries with random-effects meta-analysis. 24 low-income and middle-income countries were eligible for inclusion. In most countries, absolute and relative wealth-related and educational inequalities in NMR decreased between survey 1 and survey 2. In five countries (Cameroon, Nigeria, Malawi, Mozambique, and Uganda), the difference in NMR between the top and bottom of the wealth distribution was reduced by more than two neonatal deaths per 1000 livebirths per year. By contrast, wealth-related inequality increased by more than 1·5 neonatal deaths per 1000 livebirths per year in Ethiopia and Cambodia. Patterns of change in absolute and relative educational inequalities in NMR were similar to those of wealth-related NMR inequalities, although the size of educational inequalities tended to be slightly larger. Socioeconomic inequality in NMR seems to have decreased in the past two decades in most countries of low and middle income. However, a substantial survival advantage remains for babies born into wealthier households with a high educational level, which should be considered in global efforts to further reduce NMR. Canadian Institutes of Health Research. Copyright © 2014 Mc

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

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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

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

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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.

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

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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.

Socioeconomic inequality in smoking in low-income and middle-income countries: results from the World Health Survey.

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Hosseinpoor, Ahmad Reza; Parker, Lucy Anne; Tursan d'Espaignet, Edouard; Chatterji, Somnath

2012-01-01

To assess the magnitude and pattern of socioeconomic inequality in current smoking in low and middle income countries. We used data from the World Health Survey [WHS] in 48 low-income and middle-income countries to estimate the crude prevalence of current smoking according to household wealth quintile. A Poisson regression model with a robust variance was used to generate the Relative Index of Inequality [RII] according to wealth within each of the countries studied. In males, smoking was disproportionately prevalent in the poor in the majority of countries. In numerous countries the poorest men were over 2.5 times more likely to smoke than the richest men. Socioeconomic inequality in women was more varied showing patterns of both pro-rich and pro-poor inequality. In 20 countries pro-rich relative socioeconomic inequality was statistically significant: the poorest women had a higher prevalence of smoking compared to the richest women. Conversely, in 9 countries women in the richest population groups had a statistically significant greater risk of smoking compared to the poorest groups. Both the pattern and magnitude of relative inequality may vary greatly between countries. Prevention measures should address the specific pattern of smoking inequality observed within a population.

Gender, childhood and adult socioeconomic inequalities in functional disability among Chinese older adults.

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Zhong, Yaqin; Wang, Jian; Nicholas, Stephen

2017-09-02

Gender difference and life-course socioeconomic inequalities in functional disability may exist among older adults. However, the association is less well understood among Chinese older population. The objective is to provide empirical evidences on this issue by exploring the association between gender, childhood and adult socioeconomic inequalities in functional disability. Data from the 2013 wave of the China Health and Retirement Longitudinal Study (CHARLS) was utilized. Functional disability was assessed by the activities of daily living (ADL) and instrumental activities of daily living (IADL). Childhood socioeconomic status (SES) was measured by birthplace, father's education and occupation. Adult SES was measured in terms of education and household income. Multivariate logistic regressions were conducted to assess the association between gender, childhood and adult SES and functional disability. Based on a sample of 18,448 older adults aged 45 years old and above, our results showed that the prevalence of ADL and IADL disability was higher among women than men, but gender difference disappeared after adult SES and adult health were controlled. Harsh conditions during childhood were associated with functional disability but in multivariate analyses only father's education was associated with IADL disability (OR for no education = 1.198; 95% CI = 1.062-1.353). Current SES such as higher education and good economic situation are protective factors of functional disability. Childhood and adult SES were both related to functional disability among older adults. Our findings highlight the need for policies and programs aimed at decreasing social inequalities during childhood and early adulthood, which could reduce socioeconomic inequalities in functional disability in later life.

Changes in Socio-Economic Inequality in Neonatal Mortality in Iran Between 1995-2000 and 2005-2010: An Oaxaca Decomposition Analysis

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Mostafa Amini Rarani

2017-04-01

Full Text Available Background Exploring changes in health inequality and its determinants over time is of policy interest. Accordingly, this study aimed to decompose inequality in neonatal mortality into its contributing factors and then explore changes from 1995-2000 to 2005-2010 in Iran. Methods Required data were drawn from two Iran’s demographic and health survey (DHS conducted in 2000 and 2010. Normalized concentration index (CI was used to measure the magnitude of inequality in neonatal mortality. The contribution of various determinants to inequality was estimated by decomposing concentration indices in 1995-2000 and 2005-2010. Finally, changes in inequality were investigated using Oaxaca-type decomposition technique. Results Pro-rich inequality in neonatal mortality was declined by 16%, ie, the normalized CI dropped from -0.1490 in 1995-2000 to -0.1254 in 2005-2010. The largest contribution to inequality was attributable to mother’s education (32% and household’s economic status (49% in 1995-2000 and 2005-2010, respectively. Changes in mother’s educational level (121%, use of skilled birth attendants (79%, mother’s age at the delivery time (25-34 years old (54% and using modern contraceptive (29% were mainly accountable for the decrease in inequality in neonatal mortality. Conclusion Policy actions on improving households’ economic status and maternal education, especially in rural areas, may have led to the reduction in neonatal mortality inequality in Iran.

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

Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms

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Koopman Carla

2012-08-01

Full Text Available Abstract Background Socioeconomic status has a profound effect on the risk of having a first acute myocardial infarction (AMI. Information on socioeconomic inequalities in AMI incidence across age- gender-groups is lacking. Our objective was to examine socioeconomic inequalities in the incidence of AMI considering both relative and absolute measures of risk differences, with a particular focus on age and gender. Methods We identified all patients with a first AMI from 1997 to 2007 through linked hospital discharge and death records covering the Dutch population. Relative risks (RR of AMI incidence were estimated by mean equivalent household income at neighbourhood-level for strata of age and gender using Poisson regression models. Socioeconomic inequalities were also shown within the stratified age-gender groups by calculating the total number of events attributable to socioeconomic disadvantage. Results Between 1997 and 2007, 317,564 people had a first AMI. When comparing the most deprived socioeconomic quintile with the most affluent quintile, the overall RR for AMI was 1.34 (95 % confidence interval (CI: 1.32 – 1.36 in men and 1.44 (95 % CI: 1.42 – 1.47 in women. The socioeconomic gradient decreased with age. Relative socioeconomic inequalities were most apparent in men under 35 years and in women under 65 years. The largest number of events attributable to socioeconomic inequalities was found in men aged 45–74 years and in women aged 65–84 years. The total proportion of AMIs that was attributable to socioeconomic inequalities in the Dutch population of 1997 to 2007 was 14 % in men and 18 % in women. Conclusions Neighbourhood socioeconomic inequalities were observed in AMI incidence in the Netherlands, but the magnitude across age-gender groups depended on whether inequality was expressed in relative or absolute terms. Relative socioeconomic inequalities were high in young persons and women, where the absolute burden

Socioeconomic inequalities in smoking habits are still increasing in Italy.

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Verlato, Giuseppe; Accordini, Simone; Nguyen, Giang; Marchetti, Pierpaolo; Cazzoletti, Lucia; Ferrari, Marcello; Antonicelli, Leonardo; Attena, Francesco; Bellisario, Valeria; Bono, Roberto; Briziarelli, Lamberto; Casali, Lucio; Corsico, Angelo Guido; Fois, Alessandro; Panico, MariaGrazia; Piccioni, Pavilio; Pirina, Pietro; Villani, Simona; Nicolini, Gabriele; de Marco, Roberto

2014-08-27

Socioeconomic inequalities in smoking habits have stabilized in many Western countries. This study aimed at evaluating whether socioeconomic disparities in smoking habits are still enlarging in Italy and at comparing the impact of education and occupation. In the frame of the GEIRD study (Gene Environment Interactions in Respiratory Diseases) 10,494 subjects, randomly selected from the general population aged 20-44 years in seven Italian centres, answered a screening questionnaire between 2007 and 2010 (response percentage = 57.2%). In four centres a repeated cross-sectional survey was performed: smoking prevalence recorded in GEIRD was compared with prevalence recorded between 1998 and 2000 in the Italian Study of Asthma in Young Adults (ISAYA). Current smoking was twice as prevalent in people with a primary/secondary school certificate (40-43%) compared with people with an academic degree (20%), and among unemployed and workmen (39%) compared with managers and clerks (20-22%). In multivariable analysis smoking habits were more affected by education level than by occupation. From the first to the second survey the prevalence of ever smokers markedly decreased among housewives, managers, businessmen and free-lancers, while ever smoking became even more common among unemployed (time-occupation interaction: p = 0.047). At variance, the increasing trend in smoking cessation was not modified by occupation. Smoking prevalence has declined in Italy during the last decade among the higher socioeconomic classes, but not among the lower. This enlarging socioeconomic inequality mainly reflects a different trend in smoking initiation.

Increasing socioeconomic inequalities in first acute myocardial infarction in Scotland, 1990–92 and 2000–02

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Dundas Ruth

2009-05-01

Full Text Available Abstract Background Despite substantial declines, Ischaemic Heart Disease (IHD remains the largest cause of death in Scotland and mortality rates are among the worst in Europe. There is evidence of strong, persisting regional and socioeconomic inequalities in IHD mortality, with the majority of such deaths being due to Acute Myocardial Infarction (AMI. We examine the changes in socioeconomic and geographic inequalities in first AMI events in Scotland and their interactions with age and gender. Methods We used linked hospital discharge and death records covering the Scottish Population (5.1 million. Risk ratios (RR of AMI incidence by area deprivation and age for men and women were estimated using multilevel Poisson modelling. Directly standardised rates were presented within these stratifications. Results During 1990–92 74,213 people had a first AMI event and 56,995 in 2000–02. Adjusting for area deprivation accounted for 59% of the geographic variability in AMI incidence rates in 1990–92 and 33% in 2000–02. Geographic inequalities in male incidence reduced; RR for smaller areas (comparing area on 97.5th centile to 2.5th reduced from 1.42 to 1.19. This was not true for women; RR increased from 1.45 to 1.59. The socioeconomic gradient in AMI incidence increased over time (p-value Conclusion Relative socioeconomic inequalities in AMI incidence have increased and gradients are steepest in young women. The geographical patterning of AMI incidence cannot be fully explained by socioeconomic deprivation. The reduction of inequalities in AMI incidence is key to reducing overall inequalities in mortality and must be a priority if Scotland is to achieve its health potential.

Reducing socioeconomic inequalities in COPD care in the hospital outpatient setting - A nationwide initiative

DEFF Research Database (Denmark)

Tøttenborg, Sandra Søgaard; Lange, Peter; Thomsen, Reimar W

2017-01-01

Objective: Socioeconomic differences in quality of care have been suggested to contribute to inequality in clinical prognosis of COPD. We examined socioeconomic differences in the quality of COPD outpatient care and the potential of a systematic quality improvement initiative in reducing potentia...

Socioeconomic inequalities in mortality rates in old age in the World Health Organization Europe Region

NARCIS (Netherlands)

Huisman, M.; Read, S.; Towriss, C.A.; Deeg, D.J.H.; Grundy, E.

2013-01-01

Socioeconomic adversity is among the foremost fundamental causes of human suffering, and this is no less true in old age. Recent reports on socioeconomic inequalities in mortality rate in old age suggest that a low socioeconomic position continues to increase the risk of death even among the oldest

Socioeconomic inequalities in current daily smoking in five Turkish regions

NARCIS (Netherlands)

Hassoy, Hur; Ergin, Isil; Kunst, Anton E.

2014-01-01

To assess whether socioeconomic inequalities in smoking in five regions across in Turkey have the same pattern as observed in southern Europe. Cross-sectional data of the World Health Survey 2002 from Turkey were analyzed (5,951 women and 4,456 men) to evaluate the association of smoking with wealth

The socioeconomic inequalities in and determinants of obesity in developing countries

OpenAIRE

Dinsa, Girmaye

2015-01-01

Obesity, a widely known risk factor for many chronic diseases, is rapidly increasing in developing countries. Unlike in the developed world, where obesity is largely associated with low socioeconomic status, there is an ongoing debate on whether obesity is a problem of the rich or that of the poor in developing countries. This thesis comprises four studies that seek to improve our understanding of the socioeconomic associations, inequalities in and determinants of obesity in developing countr...

Socio-economic inequalities in health services utilization: a cross-sectional study.

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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.

Socioeconomic Inequalities in Smoking and Smoking Cessation Due to a Smoking Ban: General Population-Based Cross-Sectional Study in Luxembourg

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Tchicaya, Anastase; Lorentz, Nathalie; Demarest, Stefaan

2016-01-01

This study aimed to measure changes in socioeconomic inequalities in smoking and smoking cessation due to the 2006 smoking ban in Luxembourg. Data were derived from the PSELL3/EU-SILC (Panel Socio-Economique Liewen Zu Letzebuerg/European Union—Statistic on Income and Living Conditions) survey, which was a representative survey of the general population aged ≥16 years conducted in Luxembourg in 2005, 2007, and 2008. Smoking prevalence and smoking cessation due to the 2006 smoking ban were used as the main smoking outcomes. Two inequality measures were calculated to assess the magnitude and temporal trends of socioeconomic inequalities in smoking: the prevalence ratio and the disparity index. Smoking cessation due to the smoking ban was considered as a positive outcome. Three multiple logistic regression models were used to assess social inequalities in smoking cessation due to the 2006 smoking ban. Education level, income, and employment status served as proxies for socioeconomic status. The prevalence of smoking decreased by 22.5% between 2005 and 2008 (from 23.1% in 2005 to 17.9% in 2008), but socioeconomic inequalities in smoking persisted. Smoking prevalence decreased by 24.2% and 20.2% in men and women, respectively; this difference was not statistically significant. Smoking cessation in daily smokers due to the 2006 smoking ban was associated with education level, employment status, and income, with higher percentages of quitters among those with a lower socioeconomic status. The decrease in smoking prevalence after the 2006 law was also associated with a reduction in socioeconomic inequalities, including differences in education level, income, and employment status. Although the smoking ban contributed to a reduction of such inequalities, they still persist, indicating the need for a more targeted approach of smoke-free policies directed toward lower socioeconomic groups. PMID:27100293

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

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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

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...

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

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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.

Socio-Economic Inequality of Chronic Non-Communicable Diseases in Bangladesh

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Biswas, Tuhin; Islam, Md. Saimul; Linton, Natalie; Rawal, Lal B.

2016-01-01

Introduction Chronic non-communicable diseases (NCDs) are a major public health challenge, and undermine social and economic development in much of the developing world, including Bangladesh. Epidemiologic evidence on the socioeconomic status (SES)-related pattern of NCDs remains limited in Bangladesh. This study assessed the relationship between three chronic NCDs and SES among the Bangladeshi population, paying particular attention to the differences between urban and rural areas. Materials and Method Data from the 2011 Bangladesh Demographic and Health Survey were used for this study. Using a concentration index (CI), we measured relative inequality across pre-diabetes, diabetes, pre-hypertension, hypertension, and BMI (underweight, normal weight, and overweight/obese) in urban and rural areas in Bangladesh. A CI and its associated curve can be used to identify whether socioeconomic inequality exists for a given health variable. In addition, we estimated the health achievement index, integrating mean coverage and the distribution of coverage by rural and urban populations. Results Socioeconomic inequalities were observed across diseases and risk factors. Using CI, significant inequalities observed for pre-hypertension (CI = 0.09, p = 0.001), hypertension (CI = 0.10, p = 0.001), pre-diabetes (CI = -0.01, p = 0.005), diabetes (CI = 0.19, pconditions among the urban richest, a significant difference in CI was observed for pre-hypertension (CI = -0.20, p = 0.001), hypertension (CI = -0.20, p = 0.005), pre-diabetes (CI = -0.15, p = 0.005), diabetes (CI = -0.26, p = 0.004) and overweight/obesity (CI = 0.25, p = 0.004) were observed more among the low wealth quintiles of rural population. In the same vein, the poorest rural households had more co-morbidities compared to the richest rural households (p = 0.003), and prevalence of co-morbidities was much higher for the richest urban households compared to the poorest urban households. On the other hand in rural the �

Socio-Economic Inequality of Chronic Non-Communicable Diseases in Bangladesh.

Science.gov (United States)

Biswas, Tuhin; Islam, Md Saimul; Linton, Natalie; Rawal, Lal B

2016-01-01

Chronic non-communicable diseases (NCDs) are a major public health challenge, and undermine social and economic development in much of the developing world, including Bangladesh. Epidemiologic evidence on the socioeconomic status (SES)-related pattern of NCDs remains limited in Bangladesh. This study assessed the relationship between three chronic NCDs and SES among the Bangladeshi population, paying particular attention to the differences between urban and rural areas. Data from the 2011 Bangladesh Demographic and Health Survey were used for this study. Using a concentration index (CI), we measured relative inequality across pre-diabetes, diabetes, pre-hypertension, hypertension, and BMI (underweight, normal weight, and overweight/obese) in urban and rural areas in Bangladesh. A CI and its associated curve can be used to identify whether socioeconomic inequality exists for a given health variable. In addition, we estimated the health achievement index, integrating mean coverage and the distribution of coverage by rural and urban populations. Socioeconomic inequalities were observed across diseases and risk factors. Using CI, significant inequalities observed for pre-hypertension (CI = 0.09, p = 0.001), hypertension (CI = 0.10, p = 0.001), pre-diabetes (CI = -0.01, p = 0.005), diabetes (CI = 0.19, p<0.001), and overweight/obesity (CI = 0.45, p<0.001). In contrast to the high prevalence of the chronic health conditions among the urban richest, a significant difference in CI was observed for pre-hypertension (CI = -0.20, p = 0.001), hypertension (CI = -0.20, p = 0.005), pre-diabetes (CI = -0.15, p = 0.005), diabetes (CI = -0.26, p = 0.004) and overweight/obesity (CI = 0.25, p = 0.004) were observed more among the low wealth quintiles of rural population. In the same vein, the poorest rural households had more co-morbidities compared to the richest rural households (p = 0.003), and prevalence of co-morbidities was much higher for the richest urban households compared

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

OpenAIRE

Erreygers, Guido; Kessels, Roselinde

2017-01-01

Abstract: 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 ineq...

Socioeconomic inequalities in the access to and quality of health care services

OpenAIRE

Nunes, Bruno Pereira; Thumé, Elaine; Tomasi, Elaine; Duro, Suele Manjourany Silva; Facchini, Luiz Augusto

2014-01-01

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...

Socioeconomic inequalities in the access to and quality of health care services

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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.

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...

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...

Impact of tobacco control interventions on socioeconomic inequalities in smoking: review of the evidence.

Science.gov (United States)

Hill, Sarah; Amos, Amanda; Clifford, David; Platt, Stephen

2014-11-01

We updated and expanded a previous systematic literature review examining the impact of tobacco control interventions on socioeconomic inequalities in smoking. We searched the academic literature for reviews and primary research articles published between January 2006 and November 2010 that examined the socioeconomic impact of six tobacco control interventions in adults: that is, price increases, smoke-free policies, advertising bans, mass media campaigns, warning labels, smoking cessation support and community-based programmes combining several interventions. We included English-language articles from countries at an advanced stage of the tobacco epidemic that examined the differential impact of tobacco control interventions by socioeconomic status or the effectiveness of interventions among disadvantaged socioeconomic groups. All articles were appraised by two authors and details recorded using a standardised approach. Data from 77 primary studies and seven reviews were synthesised via narrative review. We found strong evidence that increases in tobacco price have a pro-equity effect on socioeconomic disparities in smoking. Evidence on the equity impact of other interventions is inconclusive, with the exception of non-targeted smoking cessation programmes which have a negative equity impact due to higher quit rates among more advantaged smokers. Increased tobacco price via tax is the intervention with the greatest potential to reduce socioeconomic inequalities in smoking. Other measures studied appear unlikely to reduce inequalities in smoking without specific efforts to reach disadvantaged smokers. There is a need for more research evaluating the equity impact of tobacco control measures, and development of more effective approaches for reducing tobacco use in disadvantaged groups and communities. 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.

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

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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.

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...

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

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

The relationship between socio-economic inequality and criminal victimisation: a prospective study

NARCIS (Netherlands)

Wohlfarth, T.; Winkel, F. W.; Ybema, J. F.; van den Brink, W.

2001-01-01

This study investigates the relationship of socio-economic inequality (SEI) with criminal victimisation. It is hypothesised that disadvantage in terms of SEI is associated with increased risk of being victimised and with increased distress following victimisation. Two concepts of SEI are applied:

The relationship between socio-economic inequality and criminal victimization: a prospective study.

NARCIS (Netherlands)

Wohlfarth, T.D.; Winkel, F.W.

2001-01-01

Background: This study investigates the relationship of socio-economic inequality (SEI) with criminal victimisation. It is hypothesised that disadvantage in terms of SEI is associated with increased risk of being victimised and with increased distress following victimisation. Two concepts of SEI are

Socioeconomic Inequalities in Secondhand Smoke Exposure at Home and at Work in 15 Low- and Middle-Income Countries.

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Nazar, Gaurang P; Lee, John Tayu; Arora, Monika; Millett, Christopher

2016-05-01

In high-income countries, secondhand smoke (SHS) exposure is higher among disadvantaged groups. We examine socioeconomic inequalities in SHS exposure at home and at workplace in 15 low- and middle-income countries (LMICs). Secondary analyses of cross-sectional data from 15 LMICs participating in Global Adult Tobacco Survey (participants ≥ 15 years; 2008-2011) were used. Country-specific analyses using regression-based methods were used to estimate the magnitude of socioeconomic inequalities in SHS exposure: (1) Relative Index of Inequality and (2) Slope Index of Inequality. SHS exposure at home ranged from 17.4% in Mexico to 73.1% in Vietnam; exposure at workplace ranged from 16.9% in Uruguay to 65.8% in Bangladesh. In India, Bangladesh, Thailand, Malaysia, Philippines, Vietnam, Uruguay, Poland, Turkey, Ukraine, and Egypt, SHS exposure at home reduced with increasing wealth (Relative Index of Inequality range: 1.13 [95% confidence interval [CI] 1.04-1.22] in Turkey to 3.31 [95% CI 2.91-3.77] in Thailand; Slope Index of Inequality range: 0.06 [95% CI 0.02-0.11] in Turkey to 0.43 [95% CI 0.38-0.48] in Philippines). In these 11 countries, and in China, SHS exposure at home reduced with increasing education. In India, Bangladesh, Thailand, and Philippines, SHS exposure at workplace reduced with increasing wealth. In India, Bangladesh, Thailand, Philippines, Vietnam, Poland, Russian Federation, Turkey, Ukraine, and Egypt, SHS exposure at workplace reduced with increasing education. SHS exposure at homes is higher among the socioeconomically disadvantaged in the majority of LMICs studied; at workplaces, exposure is higher among the less educated. Pro-equity tobacco control interventions alongside targeted efforts in these groups are recommended to reduce inequalities in SHS exposure. SHS exposure is higher among the socioeconomically disadvantaged groups in high-income countries. Comprehensive smoke-free policies are pro-equity for certain health outcomes that are

Socioeconomic Inequalities in Secondhand Smoke Exposure at Home and at Work in 15 Low- and Middle-Income Countries

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Lee, John Tayu; Arora, Monika; Millett, Christopher

2016-01-01

Introduction: In high-income countries, secondhand smoke (SHS) exposure is higher among disadvantaged groups. We examine socioeconomic inequalities in SHS exposure at home and at workplace in 15 low- and middle-income countries (LMICs). Methods: Secondary analyses of cross-sectional data from 15 LMICs participating in Global Adult Tobacco Survey (participants ≥ 15 years; 2008–2011) were used. Country-specific analyses using regression-based methods were used to estimate the magnitude of socioeconomic inequalities in SHS exposure: (1) Relative Index of Inequality and (2) Slope Index of Inequality. Results: SHS exposure at home ranged from 17.4% in Mexico to 73.1% in Vietnam; exposure at workplace ranged from 16.9% in Uruguay to 65.8% in Bangladesh. In India, Bangladesh, Thailand, Malaysia, Philippines, Vietnam, Uruguay, Poland, Turkey, Ukraine, and Egypt, SHS exposure at home reduced with increasing wealth (Relative Index of Inequality range: 1.13 [95% confidence interval [CI] 1.04–1.22] in Turkey to 3.31 [95% CI 2.91–3.77] in Thailand; Slope Index of Inequality range: 0.06 [95% CI 0.02–0.11] in Turkey to 0.43 [95% CI 0.38–0.48] in Philippines). In these 11 countries, and in China, SHS exposure at home reduced with increasing education. In India, Bangladesh, Thailand, and Philippines, SHS exposure at workplace reduced with increasing wealth. In India, Bangladesh, Thailand, Philippines, Vietnam, Poland, Russian Federation, Turkey, Ukraine, and Egypt, SHS exposure at workplace reduced with increasing education. Conclusion: SHS exposure at homes is higher among the socioeconomically disadvantaged in the majority of LMICs studied; at workplaces, exposure is higher among the less educated. Pro-equity tobacco control interventions alongside targeted efforts in these groups are recommended to reduce inequalities in SHS exposure. Implications: SHS exposure is higher among the socioeconomically disadvantaged groups in high-income countries. Comprehensive smoke

Socioeconomic inequalities in the healthiness of food choices: Exploring the contributions of food expenditures.

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Pechey, Rachel; Monsivais, Pablo

2016-07-01

Investigations of the contribution of food costs to socioeconomic inequalities in diet quality may have been limited by the use of estimated (vs. actual) food expenditures, not accounting for where individuals shop, and possible reverse mediation between food expenditures and healthiness of food choices. This study aimed to explore the extent to which food expenditure mediates socioeconomic inequalities in the healthiness of household food choices. Observational panel data on take-home food and beverage purchases, including expenditure, throughout 2010 were obtained for 24,879 UK households stratified by occupational social class. Purchases of (1) fruit and vegetables and (2) less-healthy foods/beverages indicated healthiness of choices. Supermarket choice was determined by whether households ever visited market-defined high-price and/or low-price supermarkets. Results showed that higher occupational social class was significantly associated with greater food expenditure, which was in turn associated with healthier purchasing. In mediation analyses, 63% of the socioeconomic differences in choices of less-healthy foods/beverages were mediated by expenditure, and 36% for fruit and vegetables, but these figures were reduced to 53% and 31% respectively when controlling for supermarket choice. However, reverse mediation analyses were also significant, suggesting that 10% of socioeconomic inequalities in expenditure were mediated by healthiness of choices. Findings suggest that lower food expenditure is likely to be a key contributor to less-healthy food choices among lower socioeconomic groups. However, the potential influence of cost may have been overestimated previously if studies did not account for supermarket choice or explore possible reverse mediation between expenditure and healthiness of choices. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Ethnic and socioeconomic inequalities in dental treatment at a school of dentistry.

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Broadbent, J M; Theodore, R F; Te Morenga, L; Thomson, W M; Brunton, P A

2016-06-01

Health services should be targeted toward those most in need of health care. Poor oral health disproportionately affects Māori, Pacific Island, and socioeconomically deprived New Zealanders of all ages, and oral health care services should be prioritised to such groups. In New Zealand, free oral health care is available for all children up to the age of 17. On the other hand, adult dental services are provided on a user-pays basis, except for a limited range of basic services for some adults, access to which varies regionally. This study investigated the extent of dental treatment inequalities among patients at New Zealand's only School of Dentistry. Data were audited for all treatments provided at the University of Otago Faculty of Dentistry from 2006 to 2011 for patients born prior to 1990. Ethnic and socioeconomic inequalities in the provision of dental extractions, endodontic treatment, crowns, and preventive care were investigated. Differences were expressed as the odds of having received one or more treatments of that type during the six-year period 2006 to 2011. Data were analysed for 23,799 individuals, of whom 11,945 (50.2%) were female, 1,285 (5.4%) were Māori and 479 (2.0%) were Pacific, 4,040 (17.0%) were of low socioeconomic status (SES), and 2,681 (11.3%) were beneficiaries or unemployed. After controlling for SES, age, and sex, Māori had 1.8 times greater odds of having had a tooth extracted than NZ European patients, while Pacific Islanders had 2.1 times the odds. Furthermore, after controlling for ethnicity, age, and sex, low-SES patients had 2.4 times greater odds of having had a tooth extracted than high-SES patients, and beneficiaries had 2.9 times the odds. Conversely, these groups were less likely to have had a tooth treated with a crown or endodontics or receive preventive care. Existing policies call for the reduction of inequalities. There is a need for a strategy to monitor changes in treatment inequality over time which includes

Changes in Socio-Economic Inequality in Neonatal Mortality in Iran Between 1995-2000 and 2005-2010: An Oaxaca Decomposition Analysis.

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Amini Rarani, Mostafa; Rashidian, Arash; Khosravi, Ardeshir; Arab, Mohammad; Abbasian, Ezatollah; Khedmati Morasae, Esmaeil

2016-09-24

Exploring changes in health inequality and its determinants over time is of policy interest. Accordingly, this study aimed to decompose inequality in neonatal mortality into its contributing factors and then explore changes from 1995-2000 to 2005-2010 in Iran. Required data were drawn from two Iran's demographic and health survey (DHS) conducted in 2000 and 2010. Normalized concentration index (CI) was used to measure the magnitude of inequality in neonatal mortality. The contribution of various determinants to inequality was estimated by decomposing concentration indices in 1995-2000 and 2005-2010. Finally, changes in inequality were investigated using Oaxaca-type decomposition technique. Pro-rich inequality in neonatal mortality was declined by 16%, ie, the normalized CI dropped from -0.1490 in 1995-2000 to -0.1254 in 2005-2010. The largest contribution to inequality was attributable to mother's education (32%) and household's economic status (49%) in 1995-2000 and 2005-2010, respectively. Changes in mother's educational level (121%), use of skilled birth attendants (79%), mother's age at the delivery time (25-34 years old) (54%) and using modern contraceptive (29%) were mainly accountable for the decrease in inequality in neonatal mortality. Policy actions on improving households' economic status and maternal education, especially in rural areas, may have led to the reduction in neonatal mortality inequality in Iran. © 2017 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Socioeconomic and ethnic inequalities in exposure to air and noise pollution in London.

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Tonne, Cathryn; Milà, Carles; Fecht, Daniela; Alvarez, Mar; Gulliver, John; Smith, James; Beevers, Sean; Ross Anderson, H; Kelly, Frank

2018-06-01

Transport-related air and noise pollution, exposures linked to adverse health outcomes, varies within cities potentially resulting in exposure inequalities. Relatively little is known regarding inequalities in personal exposure to air pollution or transport-related noise. Our objectives were to quantify socioeconomic and ethnic inequalities in London in 1) air pollution exposure at residence compared to personal exposure; and 2) transport-related noise at residence from different sources. We used individual-level data from the London Travel Demand Survey (n = 45,079) between 2006 and 2010. We modeled residential (CMAQ-urban) and personal (London Hybrid Exposure Model) particulate matter pollution using quantile and logistic regression. We observed inverse patterns in inequalities in air pollution when estimated at residence versus personal exposure with respect to household income (categorical, 8 groups). Compared to the lowest income group (£75,000) had lower residential NO 2 (-1.3 (95% CI -2.1, -0.6) μg/m 3 in the 95th exposure quantile) but higher personal NO 2 exposure (1.9 (95% CI 1.6, 2.3) μg/m 3 in the 95th quantile), which was driven largely by transport mode and duration. Inequalities in residential exposure to NO 2 with respect to area-level deprivation were larger at lower exposure quantiles (e.g. estimate for NO 2 5.1 (95% CI 4.6, 5.5) at quantile 0.15 versus 1.9 (95% CI 1.1, 2.6) at quantile 0.95), reflecting low-deprivation, high residential NO 2 areas in the city centre. Air pollution exposure at residence consistently overestimated personal exposure; this overestimation varied with age, household income, and area-level income deprivation. Inequalities in road traffic noise were generally small. In logistic regression models, the odds of living within a 50 dB contour of aircraft noise were highest in individuals with the highest household income, white ethnicity, and with the lowest area-level income deprivation. Odds of living within a 50�

Depression-related work disability: socioeconomic inequalities in onset, duration and recurrence.

Directory of Open Access Journals (Sweden)

Jenni Ervasti

Full Text Available Depression is a major cause of disability in working populations and the reduction of socioeconomic inequalities in disability is an important public health challenge. We examined work disability due to depression with four indicators of socioeconomic status.A prospective cohort study of 125 355 Finnish public sector employees was linked to national register data on work disability (>9 days due to depressive disorders (International Classification of Diseases, codes F32-F34 from January 2005 to December 2011. Primary outcomes were the onset of work disability due to depressive disorders and, among those with such disability, return to work after and recurrent episodes of work disability due to depression.We found a consistent inverse socioeconomic gradient in work disability due to depression. Lower occupational position, lower educational level, smaller residence size, and rented (vs. owner-occupied residence were all associated with an increased risk of work disability. Return to work was slower for employees with basic education (cumulative odds ratio = 1.21, 95% CI: 1.05-1.39 compared to those with higher education. Recurrent work disability episodes due to depression were less common among upper-grade non-manual workers (the highest occupational group than among lower-grade non-manual (hazard ratio = 1.16, 95% CI: 1.07-1.25 and manual (hazard ratio = 1.14, 95% CI: 1.02-1.26 workers.These data from Finnish public sector employees show persistent socioeconomic inequalities in work disability due to depression from 2005 to 2011 in terms of onset, recovery and recurrence.

Socio-Economic Inequality of Chronic Non-Communicable Diseases in Bangladesh.

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Tuhin Biswas

Full Text Available Chronic non-communicable diseases (NCDs are a major public health challenge, and undermine social and economic development in much of the developing world, including Bangladesh. Epidemiologic evidence on the socioeconomic status (SES-related pattern of NCDs remains limited in Bangladesh. This study assessed the relationship between three chronic NCDs and SES among the Bangladeshi population, paying particular attention to the differences between urban and rural areas.Data from the 2011 Bangladesh Demographic and Health Survey were used for this study. Using a concentration index (CI, we measured relative inequality across pre-diabetes, diabetes, pre-hypertension, hypertension, and BMI (underweight, normal weight, and overweight/obese in urban and rural areas in Bangladesh. A CI and its associated curve can be used to identify whether socioeconomic inequality exists for a given health variable. In addition, we estimated the health achievement index, integrating mean coverage and the distribution of coverage by rural and urban populations.Socioeconomic inequalities were observed across diseases and risk factors. Using CI, significant inequalities observed for pre-hypertension (CI = 0.09, p = 0.001, hypertension (CI = 0.10, p = 0.001, pre-diabetes (CI = -0.01, p = 0.005, diabetes (CI = 0.19, p<0.001, and overweight/obesity (CI = 0.45, p<0.001. In contrast to the high prevalence of the chronic health conditions among the urban richest, a significant difference in CI was observed for pre-hypertension (CI = -0.20, p = 0.001, hypertension (CI = -0.20, p = 0.005, pre-diabetes (CI = -0.15, p = 0.005, diabetes (CI = -0.26, p = 0.004 and overweight/obesity (CI = 0.25, p = 0.004 were observed more among the low wealth quintiles of rural population. In the same vein, the poorest rural households had more co-morbidities compared to the richest rural households (p = 0.003, and prevalence of co-morbidities was much higher for the richest urban households

Regional Deprivation Index and Socioeconomic Inequalities Related to Infant Deaths in Korea.

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Yun, Jae-Won; Kim, Young-Ju; Son, Mia

2016-04-01

Deprivation indices have been widely used to evaluate neighborhood socioeconomic status and therefore examine individuals within their regional context. Although some studies on the development of deprivation indices were conducted in Korea, additional research is needed to construct a more valid and reliable deprivation index. Therefore, a new deprivation index, named the K index, was constructed using principal component analysis. This index was compared with the Carstairs, Townsend and Choi indices. A possible association between infant death and deprivation was explored using the K index. The K index had a higher correlation with the infant mortality rate than did the other three indices. The regional deprivation quintiles were unequally distributed throughout the country. Despite the overall trend of gradually decreasing infant mortality rates, inequalities in infant deaths according to the deprivation quintiles persisted and widened. Despite its significance, the regional deprivation variable had a smaller effect on infant deaths than did individual variables. The K index functions as a deprivation index, and we may use this index to estimate the regional socioeconomic status in Korea. We found that inequalities in infant deaths according to the time trend persisted. To reduce the health inequalities among infants in Korea, regional deprivation should be considered.

Socio-economic inequalities in the incidence of four common cancers: a population-based registry study.

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Tweed, E J; Allardice, G M; McLoone, P; Morrison, D S

2018-01-01

To investigate the relationship between socio-economic circumstances and cancer incidence in Scotland in recent years. Population-based study using cancer registry data. Data on incident cases of colorectal, lung, female breast, and prostate cancer diagnosed between 2001 and 2012 were obtained from a population-based cancer registry covering a population of approximately 2.5 million people in the West of Scotland. Socio-economic circumstances were assessed based on postcode of residence at diagnosis, using the Scottish Index of Multiple Deprivation (SIMD). For each cancer, crude and age-standardised incidence rates were calculated by quintile of SIMD score, and the number of excess cases associated with socio-economic deprivation was estimated. 93,866 cases met inclusion criteria, comprising 21,114 colorectal, 31,761 lung, 23,757 female breast, and 15,314 prostate cancers. Between 2001 and 2006, there was no consistent association between socio-economic circumstances and colorectal cancer incidence, but 2006-2012 saw an emerging deprivation gradient in both sexes. The incidence rate ratio (IRR) for colorectal cancer between most deprived and least deprived increased from 1.03 (95% confidence interval [CI] 0.91-1.16) to 1.24 (95% CI 1.11-1.39) during the study period. The incidence of lung cancer showed the strongest relationship with socio-economic circumstances, with inequalities widening across the study period among women from IRR 2.66 (95% CI 2.33-3.05) to 2.91 (95% CI 2.54-3.33) in 2001-03 and 2010-12, respectively. Breast and prostate cancer showed an inverse relationship with socio-economic circumstances, with lower incidence among people living in more deprived areas. Significant socio-economic inequalities remain in cancer incidence in the West of Scotland, and in some cases are increasing. In particular, this study has identified an emerging, previously unreported, socio-economic gradient in colorectal cancer incidence among women as well as men. Actions

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

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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.

[Socioeconomic inequalities and infant mortality in Bolivia].

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Maydana, Edgar; Serral, Gemma; Borrell, Carme

2009-05-01

To evaluate socioeconomic inequalities and its relation to infant mortality in Bolivia's municipalities in 2001. An ecological study based on data from the 2001 National Census on Population and Housing (Censo Nacional de Población y Vivienda) covering the 327 municipalities in Bolivia's nine departments. The dependent variable was the infant mortality rate (IMR); the independent variables were indirect socioeconomic indicators (the percentage of illiterates older than 15 years of age, and the building materials and sanitation features of the houses). The geographic distribution of each indicator was determined and the associations between IMR and each socioeconomic indicator were calculate using Spearman's rank correlation coefficient and adjusted with Poisson regression models. The resulting IMR for Bolivia in 2001 was 67 per 1000 live births. Rates ranged from <0.1 per 1000 live births in the Magdalena municipality, Beni department, to 170.0 per 1000 live births in the Caripuyo municipality, Potosí department. The mean rate of illiteracy per municipality was 17.5%; the mean percentage of houses without running water was 90.4%, and for those lacking sanitation services, 67.6%. The IMR was inversely associated with all of the socioeconomic indicators studied. The highest relative risk was found in housing without sanitation services. Multifactorial models adjusted for illiteracy showed that the following indicators were still strongly associated with the IMR: no sanitation services (Relative risk (RR)=1.54; 95% Confidence Interval (95%CI)=1.38-1.66); adobe, stone, or mud walls (RR=1.54; 95%CI: 1.43-1.67); and, corrugated metal, straw, or palm branch roof (RR=1.34; 95%CI: 1.26-1.43). A significant association was found between poor socioeconomic status and high IMR in Bolivia's municipalities in 2001. The municipalities in the country's central and southeastern areas had lower socioeconomic status and higher IMR. The lack of education, absence of basic sanitation

A prospective cohort study investigating the explanation of socio-economic inequalities in health in The Netherlands

NARCIS (Netherlands)

Mackenbach, J. P.; van de Mheen, H.; Stronks, K.

1994-01-01

In this paper, the objectives, design, data-collection procedures and enrollment rates of the Longitudinal Study on Socio-Economic Health Differences (LS-SEHD) are described. This study started in 1991, and is the first large-scale longitudinal study of the explanation of socio-economic inequalities

Investigating maternal risk factors as potential targets of intervention to reduce socioeconomic inequality in small for gestational age: a population-based study.

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Hayward, Irene; Malcoe, Lorraine Halinka; Cleathero, Lesley A; Janssen, Patricia A; Lanphear, Bruce P; Hayes, Michael V; Mattman, Andre; Pampalon, Robert; Venners, Scott A

2012-06-13

The major aim of this study was to investigate whether maternal risk factors associated with socioeconomic status and small for gestational age (SGA) might be viable targets of interventions to reduce differential risk of SGA by socioeconomic status (socioeconomic SGA inequality) in the metropolitan area of Vancouver, Canada. This study included 59,039 live, singleton births in the Vancouver Census Metropolitan Area (Vancouver) from January 1, 2006 to September 17, 2009. To identify an indicator of socioeconomic SGA inequality, we used hierarchical logistic regression to model SGA by area-level variables from the Canadian census. We then modelled SGA by area-level average income plus established maternal risk factors for SGA and calculated population attributable SGA risk percentages (PAR%) for each variable. Associations of maternal risk factors for SGA with average income were investigated to identify those that might contribute to SGA inequality. Finally, we estimated crude reductions in the percentage and absolute differences in SGA risks between highest and lowest average income quintiles that would result if interventions on maternal risk factors successfully equalized them across income levels or eliminated them altogether. Average income produced the most linear and statistically significant indicator of socioeconomic SGA inequality with 8.9% prevalence of SGA in the lowest income quintile compared to 5.6% in the highest. The adjusted PAR% of SGA for variables were: bottom four quintiles of height (51%), first birth (32%), bottom four quintiles of average income (14%), oligohydramnios (7%), underweight or hypertension, (6% each), smoking (3%) and placental disorder (1%). Shorter height, underweight and smoking during pregnancy had higher prevalence in lower income groups. Crude models assuming equalization of risk factors across income levels or elimination altogether indicated little potential change in relative socioeconomic SGA inequality and reduction

Trends in socioeconomic inequalities in self-assessed health in 17 European countries between 1990 and 2010

DEFF Research Database (Denmark)

Hu, Yannan; van Lenthe, Frank J; Borsboom, Gerard J

2016-01-01

-than-good SAH was analysed by education and occupation among men and women aged 30-79 years. Socioeconomic inequalities were measured by means of absolute rate differences and relative rate ratios. Meta-analysis with random-effects models was used to examine the trends of inequalities. RESULTS: We observed......, and there was generally no correspondence between the two when we compared the trends within countries. In order to develop policies or interventions that effectively reduce inequalities in SAH, a better understanding of the causes of these inequalities is needed....

Individual and community level socioeconomic inequalities in contraceptive use in 10 Newly Independent States: a multilevel cross-sectional analysis.

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Janevic, Teresa; Sarah, Pallas W; Leyla, Ismayilova; Elizabeth, Bradley H

2012-11-16

Little is known regarding the association between socioeconomic factors and contraceptive use in the Newly Independent States (NIS), countries that have experienced profound changes in reproductive health services during the transition from socialism to a market economy. Using 2005-2006 data from Demographic Health Surveys (Armenia, Azerbaijan, and Moldova) and Multiple Indicator Cluster Surveys (Belarus, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Ukraine, and Uzbekistan), we examined associations between individual and community socioeconomic status with current modern contraceptive use (MCU) among N = 55,204 women aged 15-49 married or in a union. Individual socioeconomic status was measured using quintiles of wealth index and education level (higher than secondary school, secondary school or less). Community socioeconomic status was measured as the percentage of households in the poorest quintile of the nationals household wealth index (0%, 0-25%, or greater than 25%). We used multilevel logistic regression to estimate associations adjusted for age, number of children, urban/rural, and socioeconomic variables. MCU varied by country from 14% (in Azerbaijan) to 62% (in Belarus). Overall, women living in the poorest communities were less likely than those in the richest to use modern contraceptives (adjusted odds ratio (aOR) = 0.82, 95% Confidence Interval = 0.76, 0.89). Similarly, there was an increasing odds of MCU with increasing individual-level wealth. Women with a lower level of education also had lower odds of MCU than those with a higher level of education (aOR = .75, 95%CI = 0.71, 0.79). In country-specific analyses, community-level socioeconomic inequalities were apparent in 4 of 10 countries; in contrast, inequalities by individual-level wealth were apparent in 7 countries and by education in 8 countries. All countries in which community-level socioeconomic status was associated with MCU were in Central Asia, whereas at the individual

The socioeconomic gradient of secondhand smoke exposure in children: evidence from 26 low-income and middle-income countries.

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Hajizadeh, Mohammad; Nandi, Arijit

2016-12-01

To provide the first analysis of socioeconomic inequalities in children's daily exposure to indoor smoking in households in 26 low-income and middle-income countries (LMICs). We used nationally representative household samples (n=369 654) collected through the Demographic Health Surveys between 2010 and 2014 to calculate daily exposure to secondhand smoke (ESHS) among children aged 0-5 years. The relative and absolute concentration (RC and AC) indices were used to quantify wealth-based inequalities in daily ESHS in each country and in urban and rural areas in each country. We decomposed total socioeconomic inequalities in ESHS into within-group and between-group (rural-urban) inequalities to identify the sources of wealth-based inequality in ESHS in LMICs. We observed substantial variation across countries in the prevalence of daily ESHS among children. Children's ESHS was higher in rural areas compared to urban areas in the majority of the countries. The RC and AC demonstrated that daily ESHS was concentrated among poorer children in almost all countries (RC, median=-0.179, IQR=0.186 and AC, median=-0.040, IQR=0.055). The concentration of ESHS among poorer children was greater in urban relative to rural areas. The decomposition of the overall socioeconomic inequality in daily ESHS revealed that wealth-based differences in ESHS within urban and rural areas were the main contributor to socioeconomic inequalities in most countries (median=46%, IQR=32%). Special attention should be given to reduce ESHS among children from rural and socioeconomically disadvantaged households as social inequalities in ESHS might contribute to social inequalities in health over the life course. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Increasing socioeconomic inequality in childhood undernutrition in urban India: trends between 1992-93, 1998-99 and 2005-06.

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Kumar, Abhishek; Kumari, Divya; Singh, Aditya

2015-10-01

This article examines the trends and pattern in socioeconomic inequality in stunting, underweight and wasting among children aged inequality in childhood undernutrition in urban India has increased over the study period. The salient findings of this study call for separate programmes targeting the children of lower socioeconomic groups in urban population of India. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved.

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

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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

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...

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

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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

Socioeconomic Inequality in Malnutrition in Under-5 Children in Iran: Evidence From the Multiple Indicator Demographic and Health Survey, 2010.

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Almasian Kia, Abdollah; Rezapour, Aziz; Khosravi, Ardeshir; Afzali Abarghouei, Vajiheh

2017-01-01

The aim of this study was to assess the socioeconomic inequality in malnutrition in under-5 children in Iran in order to help policymakers reduce such inequality. Data on 8443 under-5 children were extracted from the Iran Multiple Indicator Demographic and Health Survey. The wealth index was used as proxy for socioeconomic status. Socioeconomic inequality in stunting, underweight, and wasting was calculated using the concentration index. The concentration index was calculated for the whole sample, as well as for subcategories defined in terms of categories such as area of residence (urban and rural) and the sex of children. Stunting was observed to be more prevalent than underweight or wasting. The results of the concentration index at the national level, as well as in rural and urban areas and in terms of children's sex, showed that inequality in stunting and underweight was statistically significant and that children in the lower quintiles were more malnourished. The wasting index was not sensitive to socioeconomic status, and its concentration index value was not statistically significant. This study showed that it can be misleading to assess the mean levels of malnutrition at the national level without knowledge of the distribution of malnutrition among socioeconomic groups. Significant socioeconomic inequalities in stunting and underweight were observed at the national level and in both urban and rural areas. Regarding the influence of nutrition on the health and economic well-being of preschool-aged children, it is necessary for the government to focus on taking targeted measures to reduce malnutrition and to focus on poorer groups within society who bear a greater burden of malnutrition.

Socioeconomic Inequality in Malnutrition in Under-5 Children in Iran: Evidence From the Multiple Indicator Demographic and Health Survey, 2010

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Abdollah Almasian Kia

2017-05-01

Full Text Available Objectives The aim of this study was to assess the socioeconomic inequality in malnutrition in under-5 children in Iran in order to help policymakers reduce such inequality. Methods Data on 8443 under-5 children were extracted from the Iran Multiple Indicator Demographic and Health Survey. The wealth index was used as proxy for socioeconomic status. Socioeconomic inequality in stunting, underweight, and wasting was calculated using the concentration index. The concentration index was calculated for the whole sample, as well as for subcategories defined in terms of categories such as area of residence (urban and rural and the sex of children. Results Stunting was observed to be more prevalent than underweight or wasting. The results of the concentration index at the national level, as well as in rural and urban areas and in terms of children’s sex, showed that inequality in stunting and underweight was statistically significant and that children in the lower quintiles were more malnourished. The wasting index was not sensitive to socioeconomic status, and its concentration index value was not statistically significant. Conclusions This study showed that it can be misleading to assess the mean levels of malnutrition at the national level without knowledge of the distribution of malnutrition among socioeconomic groups. Significant socioeconomic inequalities in stunting and underweight were observed at the national level and in both urban and rural areas. Regarding the influence of nutrition on the health and economic well-being of preschool-aged children, it is necessary for the government to focus on taking targeted measures to reduce malnutrition and to focus on poorer groups within society who bear a greater burden of malnutrition.

Does a Rise in Income Inequality Lead to Rises in Transportation Inequality and Mobility Practice Inequality?

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Joko Purwanto

2016-06-01

Full Text Available Social and economic inequalities have sharpened in the late 20th century. During this period, Europe has witnessed a rising unemployment rate, a declining wages for the least qualified workers, a slowing of income growth, and an increasing gap between the richest and the poorest. Based on the hypothesis of the relation between socio-economic condition and mobility behaviour, it is necessary to ask how these socio-economic inequalities manifest themselves in transportation: does a rise in income inequality lead to a rise in transportation inequality and mobility practice inequality? This question is particularly relevant today as some European countries are facing high socio-economic inequalities following the financial crisis that started in 2008. Using results from transport, car ownership and mobility surveys as well as household surveys from the Paris (Île-de-France region between eighties and late nineties, this paper tries to answer this question. The results show how inequalities in transportation and mobility practice have decreased during the period in spite of an increase in income inequalities. We find that the evolution of socio-economic inequality, most specifically income inequality was simply one of the determining factors of the evolution of inequalities in transportation and mobility practice. In fact, the most important role in that evolution is not played by the evolution of income inequality but by the evolution of elasticity between transportation and income. Reducing the effects of this elasticity should be the main target of transport policies to diminish inequality in transportation and mobility practice.

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

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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

The contribution of job characteristics to socioeconomic inequalities in incidence of myocardial infarction

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Huisman, Martijn; Van Lenthe, Frank; Avendano, Mauricio; Mackenbach, Johan

The current study estimated the contribution of job characteristics to socioeconomic inequalities in incidence of myocardial infarction (MI) during a 12-year follow-up period. Data were from the working population (aged 25-64 years) in the Netherlands longitudinal GLOBE study (N = 5757).

Socioeconomic inequality in Hepatitis B vaccination of rural adults in China.

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Zhu, Dawei; Guo, Na; Wang, Jian; Nicholas, Stephen; Wang, Zhen; Zhang, Guojie; Shi, Luwen; Wangen, Knut Reidar

2018-02-01

Hepatitis B (HB) vaccination is the most effective way to prevent HB virus infection. While measures taken to control the prevalence of HB have achieved significant results, HB prevalence in rural China among adults remains problematic. This study sheds new light on the determinants of HB vaccine uptake and its inequality according to socioeconomic status in rural areas of China. We interviewed 22,283 adults, aged 18-59 years, from 8444 households, in 48 villages from 8 provinces. Vaccination status was modeled by using two logistic models: whether take at least one HB vaccine and whether to complete the entire vaccination regime. The Erreygers' concentration index ([Formula: see text]) was used to quantify the degree of inequality and the decomposition approach was used to uncover the determinants of inequality in vaccine uptake. We found that the coverage rate of HB vaccination is 20.2%, and the completion rate is 16.0%. The [Formula: see text] of at least one dose (0.081) and three doses (0.076) revealed a substantial pro-rich inequality. Income contributed the largest percentage to HB vaccination inequalities (52.17% for at least one dose and 52.03% for complete vaccinations). HB awareness was another important cause of inequality in HB vaccination (around 30%). These results imply that rich had a greater tendency to vaccinate and inequality favouring the rich was almost equal for the complete three doses. While the factors associated with HB vaccination uptake and inequalities were multifaceted, income status and HB awareness were the main barriers for the poor to take HB vaccine by adults in rural China.

The sociogeometry of inequality: Part I

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Eliazar, Iddo

2015-05-01

The study of socioeconomic inequality is of prime economic and social importance, and the key quantitative gauges of socioeconomic inequality are Lorenz curves and inequality indices-the most notable of the latter being the popular Gini index. In this series of papers we present a sociogeometric framework to the study of socioeconomic inequality. In this part we shift from the notion of Lorenz curves to the notion of Lorenz sets, define inequality indices in terms of Lorenz sets, and introduce and explore a collection of distance-based and width-based inequality indices stemming from the geometry of Lorenz sets. In particular, three principle diameters of Lorenz sets are established as meaningful quantitative gauges of socioeconomic inequality-thus indeed providing a geometric quantification of socioeconomic inequality.

SOCIOECONOMIC INEQUALITIES IN SELF-REPORTED HEALTH AND PHYSICAL FUNCTIONING IN ARGENTINA: FINDINGS FROM THE NATIONAL SURVEY ON QUALITY OF LIFE OF OLDER ADULTS 2012 (ENCaViAM).

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Rodríguez López, Santiago; Colantonio, Sonia E; Celton, Dora E

2017-09-01

This study aimed to evaluate educational and income inequalities in self-reported health (SRH), and physical functioning (limitations in Activities of Daily Living (ADL)/Instrumental Activities of Daily Living (IADL)), among 60-year-old and older adults in Argentina. Using cross-sectional data from the Argentinian National Survey on Quality of Life of Older Adults 2012 (Encuesta Nacional sobre Calidad de Vida de Adultos Mayores, ENCaViAM), gender-specific socioeconomic inequalities in SRH and ADL and IADL limitations were studied in relation to educational level and household per capita income. The Relative Index of Inequality (RII) - an index of the relative size of socioeconomic inequalities in health - was used. Socioeconomic inequalities in the studied health indicators were found - except for limitations in ADL among women - favouring socially advantaged groups. The results remained largely significant after full adjustment, suggesting that educational and income inequalities, mainly in SRH and IADL, were robust and somehow independent of age, marital status, physical activity, the use of several medications, depression and the occurrence of falls. The findings add to the existing knowledge on the relative size of the socioeconomic inequalities in subjective health indicators among Argentinian older adults, which are to the detriment of lower socioeconomic groups. The results could be used to inform planning interventions aimed at decreasing socioeconomic inequalities in health, to the benefit of socially disadvantaged adults.

Individual and community level socioeconomic inequalities in contraceptive use in 10 Newly Independent States: a multilevel cross-sectional analysis

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Janevic Teresa

2012-11-01

Full Text Available Abstract Introduction Little is known regarding the association between socioeconomic factors and contraceptive use in the Newly Independent States (NIS, countries that have experienced profound changes in reproductive health services during the transition from socialism to a market economy. Methods Using 2005–2006 data from Demographic Health Surveys (Armenia, Azerbaijan, and Moldova and Multiple Indicator Cluster Surveys (Belarus, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Ukraine, and Uzbekistan, we examined associations between individual and community socioeconomic status with current modern contraceptive use (MCU among N = 55,204 women aged 15–49 married or in a union. Individual socioeconomic status was measured using quintiles of wealth index and education level (higher than secondary school, secondary school or less. Community socioeconomic status was measured as the percentage of households in the poorest quintile of the nationals household wealth index (0%, 0–25%, or greater than 25%. We used multilevel logistic regression to estimate associations adjusted for age, number of children, urban/rural, and socioeconomic variables. Results MCU varied by country from 14% (in Azerbaijan to 62% (in Belarus. Overall, women living in the poorest communities were less likely than those in the richest to use modern contraceptives (adjusted odds ratio (aOR = 0.82, 95% Confidence Interval = 0.76, 0.89. Similarly, there was an increasing odds of MCU with increasing individual-level wealth. Women with a lower level of education also had lower odds of MCU than those with a higher level of education (aOR = .75, 95%CI = 0.71, 0.79. In country-specific analyses, community-level socioeconomic inequalities were apparent in 4 of 10 countries; in contrast, inequalities by individual-level wealth were apparent in 7 countries and by education in 8 countries. All countries in which community-level socioeconomic status was associated with

Changes in socioeconomic inequality in Indonesian children's cognitive function from 2000 to 2007: a decomposition analysis.

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Maika, Amelia; Mittinty, Murthy N; Brinkman, Sally; Harper, Sam; Satriawan, Elan; Lynch, John W

2013-01-01

Measuring social inequalities in health is common; however, research examining inequalities in child cognitive function is more limited. We investigated household expenditure-related inequality in children's cognitive function in Indonesia in 2000 and 2007, the contributors to inequality in both time periods, and changes in the contributors to cognitive function inequalities between the periods. Data from the 2000 and 2007 round of the Indonesian Family Life Survey (IFLS) were used. Study participants were children aged 7-14 years (n = 6179 and n = 6680 in 2000 and 2007, respectively). The relative concentration index (RCI) was used to measure the magnitude of inequality. Contribution of various contributors to inequality was estimated by decomposing the concentration index in 2000 and 2007. Oaxaca-type decomposition was used to estimate changes in contributors to inequality between 2000 and 2007. Expenditure inequality decreased by 45% from an RCI = 0.29 (95% CI 0.22 to 0.36) in 2000 to 0.16 (95% CI 0.13 to 0.20) in 2007 but the burden of poorer cognitive function was higher among the disadvantaged in both years. The largest contributors to inequality in child cognitive function were inequalities in per capita expenditure, use of improved sanitation and maternal high school attendance. Changes in maternal high school participation (27%), use of improved sanitation (25%) and per capita expenditures (18%) were largely responsible for the decreasing inequality in children's cognitive function between 2000 and 2007. Government policy to increase basic education coverage for women along with economic growth may have influenced gains in children's cognitive function and reductions in inequalities in Indonesia.

Changes in socioeconomic inequality in Indonesian children's cognitive function from 2000 to 2007: a decomposition analysis.

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Amelia Maika

Full Text Available BACKGROUND: Measuring social inequalities in health is common; however, research examining inequalities in child cognitive function is more limited. We investigated household expenditure-related inequality in children's cognitive function in Indonesia in 2000 and 2007, the contributors to inequality in both time periods, and changes in the contributors to cognitive function inequalities between the periods. METHODS: Data from the 2000 and 2007 round of the Indonesian Family Life Survey (IFLS were used. Study participants were children aged 7-14 years (n = 6179 and n = 6680 in 2000 and 2007, respectively. The relative concentration index (RCI was used to measure the magnitude of inequality. Contribution of various contributors to inequality was estimated by decomposing the concentration index in 2000 and 2007. Oaxaca-type decomposition was used to estimate changes in contributors to inequality between 2000 and 2007. RESULTS: Expenditure inequality decreased by 45% from an RCI = 0.29 (95% CI 0.22 to 0.36 in 2000 to 0.16 (95% CI 0.13 to 0.20 in 2007 but the burden of poorer cognitive function was higher among the disadvantaged in both years. The largest contributors to inequality in child cognitive function were inequalities in per capita expenditure, use of improved sanitation and maternal high school attendance. Changes in maternal high school participation (27%, use of improved sanitation (25% and per capita expenditures (18% were largely responsible for the decreasing inequality in children's cognitive function between 2000 and 2007. CONCLUSIONS: Government policy to increase basic education coverage for women along with economic growth may have influenced gains in children's cognitive function and reductions in inequalities in Indonesia.

Socioeconomic inequality in the prevalence of noncommunicable diseases in low- and middle-income countries: results from the World Health Survey.

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Hosseinpoor, Ahmad Reza; Bergen, Nicole; Mendis, Shanthi; Harper, Sam; Verdes, Emese; Kunst, Anton; Chatterji, Somnath

2012-06-22

Noncommunicable diseases are an increasing health concern worldwide, but particularly in low- and middle-income countries. This study quantified and compared education- and wealth-based inequalities in the prevalence of five noncommunicable diseases (angina, arthritis, asthma, depression and diabetes) and comorbidity in low- and middle-income country groups. Using 2002-04 World Health Survey data from 41 low- and middle-income countries, the prevalence estimates of angina, arthritis, asthma, depression, diabetes and comorbidity in adults aged 18 years or above are presented for wealth quintiles and five education levels, by sex and country income group. Symptom-based classification was used to determine angina, arthritis, asthma and depression rates, and diabetes diagnoses were self-reported. Socioeconomic inequalities according to wealth and education were measured absolutely, using the slope index of inequality, and relatively, using the relative index of inequality. Wealth and education inequalities were more pronounced in the low-income country group than the middle-income country group. Both wealth and education were inversely associated with angina, arthritis, asthma, depression and comorbidity prevalence, with strongest inequalities reported for angina, asthma and comorbidity. Diabetes prevalence was positively associated with wealth and, to a lesser extent, education. Adjustments for confounding variables tended to decrease the magnitude of the inequality. Noncommunicable diseases are not necessarily diseases of the wealthy, and showed unequal distribution across socioeconomic groups in low- and middle-income country groups. Disaggregated research is warranted to assess the impact of individual noncommunicable diseases according to socioeconomic indicators.

Income inequality, parental socioeconomic status, and birth outcomes in Japan.

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Fujiwara, Takeo; Ito, Jun; Kawachi, Ichiro

2013-05-15

The purpose of this study was to investigate the impact of income inequality and parental socioeconomic status on several birth outcomes in Japan. Data were collected on birth outcomes and parental socioeconomic status by questionnaire from Japanese parents nationwide (n = 41,499) and then linked to Gini coefficients at the prefectural level in 2001. In multilevel analysis, z scores of birth weight for gestational age decreased by 0.018 (95% confidence interval (CI): -0.029, -0.006) per 1-standard-deviation (0.018-unit) increase in the Gini coefficient, while gestational age at delivery was not associated with the Gini coefficient. For dichotomous outcomes, mothers living in prefectures with middle and high Gini coefficients were 1.24 (95% CI: 1.05, 1.47) and 1.23 (95% CI: 1.02, 1.48) times more likely, respectively, to deliver a small-for-gestational-age infant than mothers living in more egalitarian prefectures (low Gini coefficients), although preterm births were not significantly associated with income distribution. Parental educational level, but not household income, was significantly associated with the z score of birth weight for gestational age and small-for-gestational-age status. Higher income inequality at the prefectural level and parental educational level, rather than household income, were associated with intrauterine growth but not with shorter gestational age at delivery.

Did Socioeconomic Inequality in Self-Reported Health in Chile Fall after the Equity-Based Healthcare Reform of 2005? A Concentration Index Decomposition Analysis.

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Cabieses, Baltica; Cookson, Richard; Espinoza, Manuel; Santorelli, Gillian; Delgado, Iris

2015-01-01

Chile, a South American country recently defined as a high-income nation, carried out a major healthcare system reform from 2005 onwards that aimed at reducing socioeconomic inequality in health. This study aimed to estimate income-related inequality in self-reported health status (SRHS) in 2000 and 2013, before and after the reform, for the entire adult Chilean population. Using data on equivalized household income and adult SRHS from the 2000 and 2013 CASEN surveys (independent samples of 101 046 and 172 330 adult participants, respectively) we estimated Erreygers concentration indices (CIs) for above average SRHS for both years. We also decomposed the contribution of both "legitimate" standardizing variables (age and sex) and "illegitimate" variables (income, education, occupation, ethnicity, urban/rural, marital status, number of people living in the household, and healthcare entitlement). There was a significant concentration of above average SRHS favoring richer people in Chile in both years, which was less pronounced in 2013 than 2000 (Erreygers corrected CI 0.165 [Standard Error, SE 0.007] in 2000 and 0.047 [SE 0.008] in 2013). To help interpret the magnitude of this decline, adults in the richest fifth of households were 33% more likely than those in the poorest fifth to report above-average health in 2000, falling to 11% in 2013. In 2013, the contribution of illegitimate factors to income-related inequality in SRHS remained higher than the contribution of legitimate factors. Income-related inequality in SRHS in Chile has fallen after the equity-based healthcare reform. Further research is needed to ascertain how far this fall in health inequality can be attributed to the 2005 healthcare reform as opposed to economic growth and other determinants of health that changed during the period.

Did Socioeconomic Inequality in Self-Reported Health in Chile Fall after the Equity-Based Healthcare Reform of 2005? A Concentration Index Decomposition Analysis.

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Baltica Cabieses

Full Text Available Chile, a South American country recently defined as a high-income nation, carried out a major healthcare system reform from 2005 onwards that aimed at reducing socioeconomic inequality in health. This study aimed to estimate income-related inequality in self-reported health status (SRHS in 2000 and 2013, before and after the reform, for the entire adult Chilean population.Using data on equivalized household income and adult SRHS from the 2000 and 2013 CASEN surveys (independent samples of 101 046 and 172 330 adult participants, respectively we estimated Erreygers concentration indices (CIs for above average SRHS for both years. We also decomposed the contribution of both "legitimate" standardizing variables (age and sex and "illegitimate" variables (income, education, occupation, ethnicity, urban/rural, marital status, number of people living in the household, and healthcare entitlement.There was a significant concentration of above average SRHS favoring richer people in Chile in both years, which was less pronounced in 2013 than 2000 (Erreygers corrected CI 0.165 [Standard Error, SE 0.007] in 2000 and 0.047 [SE 0.008] in 2013. To help interpret the magnitude of this decline, adults in the richest fifth of households were 33% more likely than those in the poorest fifth to report above-average health in 2000, falling to 11% in 2013. In 2013, the contribution of illegitimate factors to income-related inequality in SRHS remained higher than the contribution of legitimate factors.Income-related inequality in SRHS in Chile has fallen after the equity-based healthcare reform. Further research is needed to ascertain how far this fall in health inequality can be attributed to the 2005 healthcare reform as opposed to economic growth and other determinants of health that changed during the period.

Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India.

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Gupta, Madhu; Angeli, Federica; Bosma, Hans; Rana, Monica; Prinja, Shankar; Kumar, Rajesh; van Schayck, Onno C P

2016-01-01

The implemented multiple-strategy community intervention National Rural Health Mission (NRHM) between 2005 and 2012 aimed to reduce maternal and child health (MCH) inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India. Data of district-level household surveys (DLHS) held before (2002-04), during (2007-08), and after (2012-13) the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012. There were significant improvements in all MCH indicators (pInequalities between male and female children were significantly (pgender inequalities in MCH in Haryana, as causal relationships cannot be established with descriptive research.

Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India

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2016-01-01

Objective The implemented multiple-strategy community intervention National Rural Health Mission (NRHM) between 2005 and 2012 aimed to reduce maternal and child health (MCH) inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India. Methods Data of district-level household surveys (DLHS) held before (2002–04), during (2007–08), and after (2012–13) the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012. Results There were significant improvements in all MCH indicators (pInequalities between male and female children were significantly (pgender inequalities in MCH in Haryana, as causal relationships cannot be established with descriptive research. PMID:27003589

Socioeconomic inequalities in lipid and glucose metabolism in early childhood in a population-based cohort: the ABCD-Study

NARCIS (Netherlands)

van den Berg, G.; van Eijsden, M.; Vrijkotte, T.G.M.; Gemke, R.J.B.J.

2012-01-01

Background: Socioeconomic inequalities in cardiovascular disease are pervasive, yet much remains to be understood about how they originate. The objective of this study was to explore the relations of socioeconomic status to lipid and glucose metabolism as indicators of cardiovascular health in

Socioeconomic inequalities in dental health among middle-aged adults and the role of behavioral and psychosocial factors: evidence from the Spanish National Health Survey.

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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.

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.

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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

Socio-economic and tobacco mediation of ethnic inequalities in mortality over time: Repeated census-mortality cohort studies, 1981 to 2011.

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Blakely, Tony; Disney, George; Valeri, Linda; Atkinson, June; Teng, Andrea; Wilson, Nick; Gurrin, Lyle

2018-04-10

Racial/ethnic inequalities in mortality may be reducible by addressing socio-economic factors and smoking. To our knowledge, this is the first study to estimate trends over multiple decades in: 1) mediation of racial/ethnic inequalities in mortality (between Māori and Europeans in New Zealand [NZ]) by socio-economic factors, 2) additional mediation through smoking; and 3) inequalities had there never been smoking. We estimated natural (1 and 2 above) and controlled mediation effects (3 above) in census-mortality cohorts for 1981-84 (1.1 million people), 1996-99 (1.5 million) and 2006-11 (1.5 million) for 25-74 year olds in NZ, using a weighting of regression predicted outcomes. Socio-economic factors explained 46% of male inequalities in all three cohorts and made an increasing contribution over time among females from 30.4% (95% CI 18.1% to 42.7%) in 1981-84 to 41.9% (36.0% to 48.0%). Including smoking with socioeconomic factors only modestly altered the percentage mediated for males, but more substantially increased it for females, e.g. 7.7% (5.5% to 10.0%) in 2006-11.A counterfactual scenario of having eradicated tobacco in the past (but unchanged socio-economic distribution) lowered mortality for all sex-by-ethnic groups, and resulted in a 12.2% (2.9% to 20.8%) and 21.2% (11.6% and 31.0%) reduction in the absolute mortality gap between Māori and Europeans in 2006-11, for males and females respectively. Our study predicts that, in this high-income country, reducing socio-economic disparities between ethnic groups would greatly reduce ethnic inequalities in mortality over the long run. Eradicating tobacco would notably reduce ethnic inequalities in absolute but not relative mortality.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used

Socioeconomic Inequality in One-Year Mortality of Elderly People with Hip Fracture in Taiwan

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I-Lin Hsu

2018-02-01

Full Text Available Hip fracture commonly results in considerable consequences in terms of disability, mortality, long-term institutional care and cost. Taiwan launched its universal health insurance coverage in 1995, which largely removes financial barriers to health care. This study aims to investigate whether socioeconomic inequality in one-year mortality exists among Taiwanese elderly people. This population-based cohort study included 193,158 elderly patients (≥65 years admitted for hip fracture between 2000 and 2012. With over a one-year follow-up, 10.52% of the participants died from all causes. The mortality rate was low in the northern part of Taiwan and in urban and high-family-income areas. Multiple Poisson regression models further suggested that the level of >Q1–Q3 and >Q3–Max showed significantly reduced odds ratio of one-year mortality at 0.90 (95% confidence interval (CI, 0.87–0.93 and 0.77 (95% CI, 0.74–0.81, respectively, compared with that of the lowest family income level (i.e., Min.–Q1. Despite a monotonic decline in overall one-year mortality during the study period, socioeconomic inequality in one-year mortality rate remained evident. The annual percentage change in one-year mortality was higher (−2.86 in elderly people from families with high income (>Q3–Max. than that for elderly patients from family with low income (Min.–Q1, −1.94. Accessibility, rather than affordability, to health care for hip fracture is probably responsible for the observed socioeconomic inequality.

Irritable bowel syndrome is concentrated in people with higher educations in Iran: an inequality analysis

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2017-01-01

OBJECTIVES Like any other health-related disorder, irritable bowel syndrome (IBS) has a differential distribution with respect to socioeconomic factors. This study aimed to estimate and decompose educational inequalities in the prevalence of IBS. METHODS Sampling was performed using a multi-stage random cluster sampling approach. The data of 1,850 residents of Kish Island aged 15 years or older were included, and the determinants of IBS were identified using a generalized estimating equation regression model. The concentration index of educational inequality in cases of IBS was estimated and decomposed as the specific inequality index. RESULTS The prevalence of IBS in this study was 21.57% (95% confidence interval [CI], 19.69 to 23.44%). The concentration index of IBS was 0.20 (95% CI, 0.14 to 0.26). A multivariable regression model revealed that age, sex, level of education, marital status, anxiety, and poor general health were significant determinants of IBS. In the decomposition analysis, level of education (89.91%), age (−11.99%), and marital status (9.11%) were the three main contributors to IBS inequality. Anxiety and poor general health were the next two contributors to IBS inequality, and were responsible for more than 12% of the total observed inequality. CONCLUSIONS The main contributors of IBS inequality were education level, age, and marital status. Given the high percentage of anxious individuals among highly educated, young, single, and divorced people, we can conclude that all contributors to IBS inequality may be partially influenced by psychological factors. Therefore, programs that promote the development of mental health to alleviate the abovementioned inequality in this population are highly warranted. PMID:28171714

Is the status of diabetes socioeconomic inequality changing in Kurdistan province, west of Iran? A comparison of two surveys.

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Moradi, Ghobad; Majdzadeh, Reza; Mohammad, Kazem; Malekafzali, Hossein; Jafari, Saeede; Holakouie-Naieni, Kourosh

2016-01-01

About 80% of deaths in 350 million cases of diabetes in the world occur in low and middle income countries. The aim of this study was to determine the status of diabetes socioeconomic inequality and the share of determinants of inequalities in Kurdistan Province, West of Iran, using two surveys in 2005 and 2009. Data were collected from non-communicable disease surveillance surveys in Kurdistan in 2005 and 2009. In this study, the socioeconomic status (SES) of the participants was determined based on the residential area and assets using principal component analysis statistical method. We used concentration index and logistic regression to determine inequality. Decomposition analysis was used to determine the share of each determinant of inequality. The prevalence of diabetes expressed by individuals changed from 0.9% (95% CI: 0.6-1.3) in 2005 to 3.1% (95% CI: 2-4) in 2009. Diabetes Concentration Index changed from -0.163 (95% CI: -0.301- -0.024) in 2005 to 0.273 (95% CI: 0.101-0.445) in 2009. The results of decomposition analysis revealed that in 2009, 67% of the inequality was due to low socioeconomic status and 16% to area of residence; i.e., living in rural areas. The prevalence of diabetes significantly increased, and the diabetes inequality shifted from the poor people to groups with better SES. Increased prevalence of diabetes among the high SES individuals may be due to their better responses to diabetes control and awareness programs or due to the type of services they were provided during these years.

Socioeconomic Inequality of Non-Communicable Risk Factors among People Living in Kurdistan Province, Islamic Republic of Iran.

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Moradi, Ghobad; Mohammad, Kazem; Majdzadeh, Reza; Ardakani, Hossein Malekafzali; Naieni, Kourosh Holakouie

2013-06-01

The most fundamental way to decrease the burden of noncommunicable diseases (NCDs) is to identify and control their related risk factors. The goal of this study is to determine socioeconomic inequalities in risk factors for NCDs using concentration index based on Non-Communicable Disease Surveillance Survey (NCDSS) data in Kurdistan province, Islamic Republic of Iran in 2005 and 2009. The required data for this study are taken from two NCDSSs in Kurdistan province in 2005 and 2009. A total of 2,494 persons in 2005 and 997 persons in 2009 were assessed. Concentration index was used to determine socioeconomic inequality. To assess the relationship between the prevalence of each risk factor and socioeconomic status (SES), logistic regression was used and odds ratio (OR) was calculated for each group, compared with the poorest group. The concentration index for hypertension was -0.095 (-0.158, -0.032) in 2005 and -0.080 (-0.156, -0.003) in 2009. The concentration index for insufficient consumption of fruits and vegetables was -0.117 (-0.153, -0.082) in 2005 and -0.100 (-0.153, -0.082) in 2009. The concentration index for the consumption of unhealthy fat and oil was -0.034 (-0.049, -0.019) in 2005 and -0.108 (-0.165, -0.051) in 2009. The concentration index for insufficient consumption of fish was -0.070 (-0.096, -0.044) in 2005. The concentration index for physical inactivity was 0.008 (-0.057, 0.075) in 2005 and 0.139 (0.063, 0.215) in 2009. In all the cases, the OR of the richest group to the poorest group was significant. Hypertension, insufficient consumption of fruits and vegetables, consumption of unhealthy fat and oil, and insufficient consumption of fish are more prevalent among poor groups. There was no significant socioeconomic inequality in the distribution of smoking, excess weight, and hypercholesterolemia. Physical inactivity was more prevalent among the rich groups of society in 2009. The reduction of socioeconomic inequalities must become a main goal in

Changes in Socioeconomic Inequality in Indonesian Children’s Cognitive Function from 2000 to 2007: A Decomposition Analysis

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Maika, Amelia; Mittinty, Murthy N.; Brinkman, Sally; Harper, Sam; Satriawan, Elan; Lynch, John W.

2013-01-01

Background Measuring social inequalities in health is common; however, research examining inequalities in child cognitive function is more limited. We investigated household expenditure-related inequality in children’s cognitive function in Indonesia in 2000 and 2007, the contributors to inequality in both time periods, and changes in the contributors to cognitive function inequalities between the periods. Methods Data from the 2000 and 2007 round of the Indonesian Family Life Survey (IFLS) were used. Study participants were children aged 7–14 years (n = 6179 and n = 6680 in 2000 and 2007, respectively). The relative concentration index (RCI) was used to measure the magnitude of inequality. Contribution of various contributors to inequality was estimated by decomposing the concentration index in 2000 and 2007. Oaxaca-type decomposition was used to estimate changes in contributors to inequality between 2000 and 2007. Results Expenditure inequality decreased by 45% from an RCI = 0.29 (95% CI 0.22 to 0.36) in 2000 to 0.16 (95% CI 0.13 to 0.20) in 2007 but the burden of poorer cognitive function was higher among the disadvantaged in both years. The largest contributors to inequality in child cognitive function were inequalities in per capita expenditure, use of improved sanitation and maternal high school attendance. Changes in maternal high school participation (27%), use of improved sanitation (25%) and per capita expenditures (18%) were largely responsible for the decreasing inequality in children’s cognitive function between 2000 and 2007. Conclusions Government policy to increase basic education coverage for women along with economic growth may have influenced gains in children’s cognitive function and reductions in inequalities in Indonesia. PMID:24205322

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

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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.

Socioeconomic inequalities in smoking in The Netherlands before and during the Global Financial Crisis: a repeated cross-sectional study

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Benson, Fiona E.; Kuipers, Mirte A. G.; Nierkens, Vera; Bruggink, Jan-Willem; Stronks, Karien; Kunst, Anton E.

2015-01-01

The Global Financial Crisis (GFC) increased levels of financial strain, especially in those of low socioeconomic status (SES). Financial strain can affect smoking behaviour. This study examines socioeconomic inequalities in current smoking and smoking cessation in The Netherlands before and during

Decomposing the Gini Inequality Index: An Expanded Solution with Survey Data Applied to Analyze Gender Income Inequality

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Larraz, Beatriz

2015-01-01

The aim of this article is to propose a new breakdown of the Gini inequality ratio into three components ("within-group" inequality, "between-group" inequality, and intensity of "transvariation" between groups to the total inequality index). The between-group inequality concept computes all the differences in salaries…

Global Inequalities in Cervical Cancer Incidence and Mortality are Linked to Deprivation, Low Socioeconomic Status, and Human Development.

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Singh, Gopal K; Azuine, Romuladus E; Siahpush, Mohammad

2012-01-01

This study examined global inequalities in cervical cancer incidence and mortality rates as a function of cross-national variations in the Human Development Index (HDI), socioeconomic factors, Gender Inequality Index (GII), and healthcare expenditure. Age-adjusted incidence and mortality rates were calculated for women in 184 countries using the 2008 GLOBOCAN database, and incidence and mortality trends were analyzed using the WHO cancer mortality database. Log-linear regression was used to model annual trends, while OLS and Poisson regression models were used to estimate the impact of socioeconomic and human development factors on incidence and mortality rates. Cervical cancer incidence and mortality rates varied widely, with many African countries such as Guinea, Zambia, Comoros, Tanzania, and Malawi having at least 10-to-20-fold higher rates than several West Asian, Middle East, and European countries, including Iran, Saudi Arabia, Syria, Egypt, and Switzerland. HDI, GII, poverty rate, health expenditure per capita, urbanization, and literacy rate were all significantly related to cervical cancer incidence and mortality, with HDI and poverty rate each explaining >52% of the global variance in mortality. Both incidence and mortality rates increased in relation to lower human development and higher gender inequality levels. A 0.2 unit increase in HDI was associated with a 20% decrease in cervical cancer risk and a 33% decrease in cervical cancer mortality risk. The risk of a cervical cancer diagnosis increased by 24% and of cervical cancer death by 42% for a 0.2 unit increase in GII. Higher health expenditure levels were independently associated with decreased incidence and mortality risks. Global inequalities in cervical cancer are clearly linked to disparities in human development, social inequality, and living standards. Reductions in cervical cancer rates are achievable by reducing inequalities in socioeconomic conditions, availability of preventive health

Narrowing socioeconomic inequality in child stunting: the Brazilian experience, 1974-2007.

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Monteiro, Carlos Augusto; Benicio, Maria Helena D'Aquino; Conde, Wolney Lisboa; Konno, Silvia; Lovadino, Ana Lucia; Barros, Aluisio J D; Victora, Cesar Gomes

2010-04-01

To assess trends in the prevalence and social distribution of child stunting in Brazil to evaluate the effect of income and basic service redistribution policies implemented in that country in the recent past. The prevalence of stunting (height-for-age z score below -2 using the Child Growth Standards of the World Health Organization) among children aged less than 5 years was estimated from data collected during national household surveys carried out in Brazil in 1974-75 (n = 34,409), 1989 (n = 7374), 1996 (n = 4149) and 2006-07 (n = 4414). Absolute and relative socioeconomic inequality in stunting was measured by means of the slope index and the concentration index of inequality, respectively. Over a 33-year period, we documented a steady decline in the national prevalence of stunting from 37.1% to 7.1%. Prevalence dropped from 59.0% to 11.2% in the poorest quintile and from 12.1% to 3.3% among the wealthiest quintile. The decline was particularly steep in the last 10 years of the period (1996 to 2007), when the gaps between poor and wealthy families with children under 5 were also reduced in terms of purchasing power; access to education, health care and water and sanitation services; and reproductive health indicators. In Brazil, socioeconomic development coupled with equity-oriented public policies have been accompanied by marked improvements in living conditions and a substantial decline in child undernutrition, as well as a reduction of the gap in nutritional status between children in the highest and lowest socioeconomic quintiles. Future studies will show whether these gains will be maintained under the current global economic crisis.

A short note on economic development and socioeconomic inequality in female body weight.

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Deuchert, Eva; Cabus, Sofie; Tafreschi, Darjusch

2014-07-01

The origin of the obesity epidemic in developing countries is still poorly understood. It has been prominently argued that economic development provides a natural interpretation of the growth in obesity. This paper tests the main aggregated predictions of the theoretical framework to analyze obesity. Average body weight and health inequality should be associated with economic development. Both hypotheses are confirmed: we find higher average female body weight in economically more advanced countries. In relatively nondeveloped countries, obesity is a phenomenon of the socioeconomic elite. With economic development, obesity shifts toward individuals with lower socioeconomic status. Copyright © 2013 John Wiley & Sons, Ltd.

Tackling socioeconomic inequalities and non-communicable diseases in low-income and middle-income countries under the Sustainable Development agenda.

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Niessen, Louis W; Mohan, Diwakar; Akuoku, Jonathan K; Mirelman, Andrew J; Ahmed, Sayem; Koehlmoos, Tracey P; Trujillo, Antonio; Khan, Jahangir; Peters, David H

2018-05-19

Five Sustainable Development Goals (SDGs) set targets that relate to the reduction of health inequalities nationally and worldwide. These targets are poverty reduction, health and wellbeing for all, equitable education, gender equality, and reduction of inequalities within and between countries. The interaction between inequalities and health is complex: better economic and educational outcomes for households enhance health, low socioeconomic status leads to chronic ill health, and non-communicable diseases (NCDs) reduce income status of households. NCDs account for most causes of early death and disability worldwide, so it is alarming that strong scientific evidence suggests an increase in the clustering of non-communicable conditions with low socioeconomic status in low-income and middle-income countries since 2000, as previously seen in high-income settings. These conditions include tobacco use, obesity, hypertension, cancer, and diabetes. Strong evidence from 283 studies overwhelmingly supports a positive association between low-income, low socioeconomic status, or low educational status and NCDs. The associations have been differentiated by sex in only four studies. Health is a key driver in the SDGs, and reduction of health inequalities and NCDs should become key in the promotion of the overall SDG agenda. A sustained reduction of general inequalities in income status, education, and gender within and between countries would enhance worldwide equality in health. To end poverty through elimination of its causes, NCD programmes should be included in the development agenda. National programmes should mitigate social and health shocks to protect the poor from events that worsen their frail socioeconomic condition and health status. Programmes related to universal health coverage of NCDs should specifically target susceptible populations, such as elderly people, who are most at risk. Growing inequalities in access to resources for prevention and treatment need to

Correlates of socio-economic inequalities in women's television viewing: a study of intrapersonal, social and environmental mediators

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Teychenne Megan

2012-01-01

Full Text Available Abstract Introduction Socio-economically disadvantaged women are at a greater risk of spending excess time engaged in television viewing, a behavior linked to several adverse health outcomes. However, the factors which explain socio-economic differences in television viewing are unknown. This study aimed to investigate the contribution of intrapersonal, social and environmental factors to mediating socio-economic (educational inequalities in women's television viewing. Methods Cross-sectional data were provided by 1,554 women (aged 18-65 who participated in the 'Socio-economic Status and Activity in Women study' of 2004. Based on an ecological framework, women self-reported their socio-economic position (highest education level, television viewing, as well as a number of potential intrapersonal (enjoyment of television viewing, preference for leisure-time sedentary behavior, depression, stress, weight status, social (social participation, interpersonal trust, social cohesion, social support for physical activity from friends and from family and physical activity environmental factors (safety, aesthetics, distance to places of interest, and distance to physical activity facilities. Results Multiple mediating analyses showed that two intrapersonal factors (enjoyment of television viewing and weight status and two social factors (social cohesion and social support from friends for physical activity partly explained the educational inequalities in women's television viewing. No physical activity environmental factors mediated educational variations in television viewing. Conclusions Acknowledging the cross-sectional nature of this study, these findings suggest that health promotion interventions aimed at reducing educational inequalities in television viewing should focus on intrapersonal and social strategies, particularly providing enjoyable alternatives to television viewing, weight-loss/management information, increasing social cohesion in the

Socioeconomic inequalities in risk factors for non communicable diseases in low-income and middle-income countries: results from the World Health Survey.

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Hosseinpoor, Ahmad Reza; Bergen, Nicole; Kunst, Anton; Harper, Sam; Guthold, Regina; Rekve, Dag; d'Espaignet, Edouard Tursan; Naidoo, Nirmala; Chatterji, Somnath

2012-10-28

Monitoring inequalities in non communicable disease risk factor prevalence can help to inform and target effective interventions. The prevalence of current daily smoking, low fruit and vegetable consumption, physical inactivity, and heavy episodic alcohol drinking were quantified and compared across wealth and education levels in low- and middle-income country groups. This study included self-reported data from 232,056 adult participants in 48 countries, derived from the 2002-2004 World Health Survey. Data were stratified by sex and low- or middle-income country status. The main outcome measurements were risk factor prevalence rates reported by wealth quintile and five levels of educational attainment. Socioeconomic inequalities were measured using the slope index of inequality, reflecting differences in prevalence rates, and the relative index of inequality, reflecting the prevalence ratio between the two extremes of wealth or education accounting for the entire distribution. Data were adjusted for confounding factors: sex, age, marital status, area of residence, and country of residence. Smoking and low fruit and vegetable consumption were significantly higher among lower socioeconomic groups. The highest wealth-related absolute inequality was seen in smoking among men of low- income country group (slope index of inequality 23.0 percentage points; 95% confidence interval 19.6, 26.4). The slope index of inequality for low fruit and vegetable consumption across the entire distribution of education was around 8 percentage points in both sexes and both country income groups. Physical inactivity was less prevalent in populations of low socioeconomic status, especially in low-income countries (relative index of inequality: (men) 0.46, 95% confidence interval 0.33, 0.64; (women) 0.52, 95% confidence interval 0.42, 0.65). Mixed patterns were found for heavy drinking. Disaggregated analysis of the prevalence of non-communicable disease risk factors demonstrated different

Domestic work and psychological distress--what is the importance of relative socioeconomic position and gender inequality in the couple relationship?

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Lisa Harryson

Full Text Available The aim of this study was to investigate whether the relation between responsibility for domestic work and psychological distress was influenced by perception of gender inequality in the couple relationship and relative socioeconomic position.In the Northern Swedish Cohort, all pupils who studied in the last year of compulsory school in a northern Swedish town in 1981 have been followed regularly until 2007. In this study, participants living with children were selected (n = 371 women, 352 men. The importance of relative socioeconomic position and perception of gender inequality in the couple relationship in combination with domestic work for psychological distress was examined through logistic regression analysis.Two combinations of variables including socioeconomic position ('having less than half of the responsibility for domestic work and partner higher socioeconomic position' and 'having more than half the responsibility for domestic work and equal socioeconomic position' were related to psychological distress. There were also higher ORs for psychological distress for the combinations of having 'less than half of the responsibility for domestic work and gender-unequal couple relationship' and 'more than half the responsibility for domestic work and gender-unequal couple relationship'. Having a lower socioeconomic position than the partner was associated with higher ORs for psychological distress among men.This study showed that domestic work is a highly gendered activity as women tend to have a greater and men a smaller responsibility. Both these directions of inequality in domestic work, in combination with experiencing the couple relationship as gender-unequal, were associated with psychological distress There is a need for more research with a relational approach on inequalities in health in order to capture the power relations within couples in various settings.

Socioeconomic inequalities in smoking in The Netherlands before and during the Global Financial Crisis: a repeated cross-sectional study.

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Benson, Fiona E; Kuipers, Mirte A G; Nierkens, Vera; Bruggink, Jan-Willem; Stronks, Karien; Kunst, Anton E

2015-05-06

The Global Financial Crisis (GFC) increased levels of financial strain, especially in those of low socioeconomic status (SES). Financial strain can affect smoking behaviour. This study examines socioeconomic inequalities in current smoking and smoking cessation in The Netherlands before and during the Global Financial Crisis (GFC). Participants were 66,960 Dutch adults (≥ 18 years) who took part in the annual national Health Survey (2004-2011). Period was dichotomised: 'pre-' and 'during-GFC'. SES measures used were income, education and neighbourhood deprivation. Outcomes were current smoking rates (smokers/total population) and smoking cessation ratios (former smokers/ever smokers). Multilevel logistic regression models controlled for individual characteristics and tested for interaction between period and SES. In both periods, high SES respondents (in all indicators) had lower current smoking levels and higher cessation ratios than those of middle or low SES. Inequalities in current smoking increased significantly in poorly educated adults of 45-64 years of age (Odds Ratio (OR) low educational level compared with high: 2.00[1.79-2.23] compared to pre-GFC 1.67[1.50-1.86], p for interaction = 0.02). Smoking cessation inequalities by income in 18-30 year olds increased with borderline significance during the GFC (OR low income compared to high income: 0.73[0.58-0.91]) compared to pre-GFC (OR: 0.98[0.80-1.20]), p for interaction = 0.051). Overall, socioeconomic inequalities in current smoking and smoking cessation were unchanged during the GFC. However, current smoking inequalities by education, and smoking cessation inequalities by income, increased in specific age groups. Increased financial strain caused by the crisis may disproportionately affect smoking behaviour in some disadvantaged groups.

Decomposing income-related inequality in cervical screening in 67 countries.

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McKinnon, Brittany; Harper, Sam; Moore, Spencer

2011-04-01

The development of successful policies to reduce income-related inequalities in cervical cancer screening rates requires an understanding of the reasons why low-income women are less likely to be screened. We sought to identify important determinants contributing to inequality in cervical screening rates. We analyzed data from 92,541 women aged 25-64 years, who participated in the World Health Survey in 2002-2003. Income-related inequality in Pap screening was measured using the concentration index (CI). Using a decomposition method for the CI, we quantified the contribution to inequality of age, education level, marital status, urbanicity and recent health-care need. There was substantial heterogeneity in the contributions of different determinants to inequality among countries. Education generally made the largest contribution (median = 15%, interquartile range [IQR] = 23%), although this varied widely even within regions (e.g., 5% in Austria, 28% in Hungary). The contribution of rural residence was greatest in African countries (median = 10%, IQR = 13%); however, there was again substantial within-region variation (e.g., 26% in Zambia, 2% in Kenya). Considerable heterogeneity in the contributions of screening determinants among countries suggests interventions to reduce screening inequalities may require country-specific approaches.

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

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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

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

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

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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.

Mental health inequalities in Slovenian 15-year-old adolescents explained by personal social position and family socioeconomic status.

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Klanšček, Helena Jeriček; Ziberna, Janina; Korošec, Aleš; Zurc, Joca; Albreht, Tit

2014-03-28

Mental health inequalities are an increasingly important global problem. This study examined the association between mental health status and certain socioeconomic indicators (personal social position and the socioeconomic status of the family) in Slovenian 15-year-old adolescents. Data originate from the WHO-Collaborative cross-national 'Health Behavior in School-aged Children' study conducted in Slovenia in 2010 (1,815 secondary school pupils, aged 15). Mental health status was measured by: KIDSCREEN-10, the Strength and Difficulties questionnaire (SDQ), a life satisfaction scale, and one question about feelings of depression. Socioeconomic position was measured by the socioeconomic status of the family (Family Affluence Scale, perceived material welfare, family type, occupational status of parents) and personal social position (number of friends and the type of school). Logistic regression and a multivariate analysis of variance (MANOVA) were performed. Girls had 2.5-times higher odds of suffering feelings of depression (p mental health than those with a higher socioeconomic position. Because of the financial crisis, we can expect an increase in social inequalities and a greater impact on adolescents' mental health status in Slovenia in the future.

How socioeconomic inequalities impact pathways of care for coronary artery disease among elderly patients: study protocol for a qualitative longitudinal study.

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Schröder, Sara L; Fink, Astrid; Schumann, Nadine; Moor, Irene; Plehn, Alexander; Richter, Matthias

2015-11-09

Several studies have identified that socioeconomic inequalities in coronary artery disease (CAD) morbidity and mortality lead to a disadvantage in patients with low socioeconomic status (SES). International studies have shown that socioeconomic inequalities also exist in terms of access, utilisation and quality of cardiac care. The aim of this qualitative study is to provide information on the impact of socioeconomic inequalities on the pathway of care for CAD, and to establish which factors lead to socioeconomic inequality of care to form and expand existing scientific theories. A longitudinal qualitative study with 48 patients with CAD, aged 60-80 years, is being conducted. Patients have been recruited consecutively at the University Hospital in Halle/Saale, Germany, and will be followed for a period of 6 months. Patients are interviewed two times face-to-face using semistructured interviews. Data are transcribed and analysed based on grounded theory. Only participants who have been informed and who have signed a declaration of consent have been included in the study. The study complies rigorously with data protection legislation. Approval of the Ethical Review Committee at the Martin-Luther University Halle-Wittenberg, Germany was obtained. The results of the study will be presented at several congresses, and will be published in high-quality peer-reviewed international journals. This study has been registered with the German Clinical Trials Register and assigned DRKS00007839. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India.

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Madhu Gupta

Full Text Available The implemented multiple-strategy community intervention National Rural Health Mission (NRHM between 2005 and 2012 aimed to reduce maternal and child health (MCH inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India.Data of district-level household surveys (DLHS held before (2002-04, during (2007-08, and after (2012-13 the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012.There were significant improvements in all MCH indicators (p<0.05. The geographical and socioeconomic differences between urban and rural areas, and between rich and poor were significantly (p<0.05 reduced for pregnant women who had an institutional delivery (geographical difference declining from 22% to 7.6%; socioeconomic from 48.2% to 13%, post-natal care within 2 weeks of delivery (2.8% to 1.5%; 30.3% to 7%; and for children with full vaccination (10% to 3.5%, 48.3% to 14% and who received oral rehydration solution (ORS for diarrhea (11% to -2.2%; 41% to 5%. Inequalities between male and female children were significantly (p<0.05 reversed for full immunization (5.7% to -0.6% and BCG immunization (1.9 to -0.9 points, and a significant (p<0.05 decrease was observed for oral polio vaccine (4.0% to 0% and measles vaccine (4.2% to 0.1%.The implemented multiple-strategy community intervention National Rural Health Mission (NRHM between 2005 and 2012 might have resulted in significant reductions in geographical, socioeconomic and gender

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

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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.

Psychosocial functioning and intelligence both partly explain socioeconomic inequalities in premature death. A population-based male cohort study.

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Daniel Falkstedt

Full Text Available The possible contributions of psychosocial functioning and intelligence differences to socioeconomic status (SES-related inequalities in premature death were investigated. None of the previous studies focusing on inequalities in mortality has included measures of both psychosocial functioning and intelligence.The study was based on a cohort of 49 321 men born 1949-1951 from the general community in Sweden. Data on psychosocial functioning and intelligence from military conscription at ∼18 years of age were linked with register data on education, occupational class, and income at 35-39 years of age. Psychosocial functioning was rated by psychologists as a summary measure of differences in level of activity, power of initiative, independence, and emotional stability. Intelligence was measured through a multidimensional test. Causes of death between 40 and 57 years of age were followed in registers.The estimated inequalities in all-cause mortality by education and occupational class were attenuated with 32% (95% confidence interval: 20-45% and 41% (29-52% after adjustments for individual psychological differences; both psychosocial functioning and intelligence contributed to account for the inequalities. The inequalities in cardiovascular and injury mortality were attenuated by as much as 51% (24-76% and 52% (35-68% after the same adjustments, and the inequalities in alcohol-related mortality were attenuated by up to 33% (8-59%. Less of the inequalities were accounted for when those were measured by level of income, with which intelligence had a weaker correlation. The small SES-related inequalities in cancer mortality were not attenuated by adjustment for intelligence.Differences in psychosocial functioning and intelligence might both contribute to the explanation of observed SES-related inequalities in premature death, but the magnitude of their contributions likely varies with measure of socioeconomic status and cause of death. Both

Income Inequality in Rural India: Decomposing the Gini by Income Sources

OpenAIRE

Mehtabul Azam; Abusaleh Shariff

2011-01-01

This paper examines income inequality in rural India in 1993 and 2005. It attempts to ascertain the contribution of different income sources to overall income inequality, and change in their relative importance between 1993 and 2005 through decomposition of Gini coefficient. The paper finds that income inequality has increased between 1993 and 2005. Agriculture income continues to contribute majorly in total income and income inequality; however its share in total income and total income ineq...

The contribution of childhood environment to the explanation of socio-economic inequalities in health in adult life: A retrospective study

NARCIS (Netherlands)

van de Mheen, H.; Stronks, K.; van den Bos, J.; Mackenbach, J. P.

1997-01-01

In this study the contribution of childhood environment to the explanation of socio-economic inequalities in health in adulthood is examined. Childhood environment was measured using indicators of social, socio-economic and material aspects. Retrospective data obtained from an oral interview, part

Socioeconomic inequalities in diabetes mellitus across Europe at the beginning of the 21st century

NARCIS (Netherlands)

Espelt, A.; Borrell, C.; Roskam, A. J.; Rodríguez-Sanz, M.; Stirbu, I.; Dalmau-Bueno, A.; Regidor, E.; Bopp, M.; Martikainen, P.; Leinsalu, M.; Artnik, B.; Rychtarikova, J.; Kalediene, R.; Dzurova, D.; Mackenbach, J.; Kunst, A. E.

2008-01-01

AIMS/HYPOTHESIS: The aim of this study was to determine and quantify socioeconomic position (SEP) inequalities in diabetes mellitus in different areas of Europe, at the turn of the century, for men and women. METHODS: We analysed data from ten representative national health surveys and 13 mortality

Impact of national cancer policies on cancer survival trends and socioeconomic inequalities in England, 1996-2013: population based study

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Rachet, Bernard; Belot, Aurélien; Maringe, Camille; Coleman, Michel P

2018-01-01

Abstract Objective To assess the effectiveness of the NHS Cancer Plan (2000) and subsequent national cancer policy initiatives in improving cancer survival and reducing socioeconomic inequalities in survival in England. Design Population based cohort study. Setting England. Population More than 3.5 million registered patients aged 15-99 with a diagnosis of one of the 24 most common primary, malignant, invasive neoplasms between 1996 and 2013. Main outcome measures Age standardised net survival estimates by cancer, sex, year, and deprivation group. These estimates were modelled using regression model with splines to explore changes in the cancer survival trends and in the socioeconomic inequalities in survival. Results One year net survival improved steadily from 1996 for 26 of 41 sex-cancer combinations studied, and only from 2001 or 2006 for four cancers. Trends in survival accelerated after 2006 for five cancers. The deprivation gap observed for all 41 sex-cancer combinations among patients with a diagnosis in 1996 persisted until 2013. However, the gap slightly decreased for six cancers among men for which one year survival was more than 65% in 1996, and for cervical and uterine cancers, for which survival was more than 75% in 1996. The deprivation gap widened notably for brain tumours in men and for lung cancer in women. Conclusions Little evidence was found of a direct impact of national cancer strategies on one year survival, and no evidence for a reduction in socioeconomic inequalities in cancer survival. These findings emphasise that socioeconomic inequalities in survival remain a major public health problem for a healthcare system founded on equity. PMID:29540358

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...

Socio-economic determinants and inequities in coverage and timeliness of early childhood immunisation in rural Ghana.

Science.gov (United States)

Gram, Lu; Soremekun, Seyi; ten Asbroek, Augustinus; Manu, Alexander; O'Leary, Maureen; Hill, Zelee; Danso, Samuel; Amenga-Etego, Seeba; Owusu-Agyei, Seth; Kirkwood, Betty R

2014-07-01

To assess the extent of socio-economic inequity in coverage and timeliness of key childhood immunisations in Ghana. Secondary analysis of vaccination card data collected from babies born between January 2008 and January 2010 who were registered in the surveillance system supporting the ObaapaVita and Newhints Trials was carried out. 20 251 babies had 6 weeks' follow-up, 16 652 had 26 weeks' follow-up, and 5568 had 1 year's follow-up. We performed a descriptive analysis of coverage and timeliness of vaccinations by indicators for urban/rural status, wealth and educational attainment. The association of coverage with socio-economic indicators was tested using a chi-square-test and the association with timeliness using Cox regression. Overall coverage at 1 year of age was high (>95%) for Bacillus Calmette-Guérin (BCG), all three pentavalent diphtheria-pertussis-tetanus-haemophilus influenzae B-hepatitis B (DPTHH) doses and all polio doses except polio at birth (63%). Coverage against measles and yellow fever was 85%. Median delay for BCG was 1.7 weeks. For polio at birth, the median delay was 5 days; all other vaccine doses had median delays of 2-4 weeks. We found substantial health inequity across all socio-economic indicators for all vaccines in terms of timeliness, but not coverage at 1 year. For example, for the last DPTHH dose, the proportion of children delayed more than 8 weeks were 27% for urban children and 31% for rural children (P < 0.001), 21% in the wealthiest quintile and 41% in the poorest quintile (P < 0.001), and 9% in the most educated group and 39% in the least educated group (P < 0.001). However, 1-year coverage of the same dose remained above 90% for all levels of all socio-economic indicators. Ghana has substantial health inequity across urban/rural, socio-economic and educational divides. While overall coverage was high, most vaccines suffered from poor timeliness. We suggest that countries achieving high coverage should include timeliness

Global Inequalities in Cervical Cancer Incidence and Mortality are Linked to Deprivation, Low Socioeconomic Status, and Human Development

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Gopal K. Singh, PhD

2012-11-01

Full Text Available Objective: This study examined global inequalities in cervical cancer incidence and mortality rates as a function of cross-national variations in the Human Development Index (HDI, socioeconomic factors, Gender Inequality Index (GII, and healthcare expenditure.Methods: Age-adjusted incidence and mortality rates were calculated for women in 184 countries using the 2008 GLOBOCAN database, and incidence and mortality trends were analyzed using the WHO cancer mortality database. Log-linear regression was used to model annual trends, while OLS and Poisson regression models were used to estimate the impact of socioeconomic and human development factors on incidence and mortality rates.Results: Cervical cancer incidence and mortality rates varied widely, with many African countries such as Guinea, Zambia, Comoros, Tanzania, and Malawi having at least 10-to-20-fold higher rates than several West Asian, Middle East, and European countries, including Iran, Saudi Arabia, Syria, Egypt, and Switzerland. HDI, GII, poverty rate, health expenditure per capita, urbanization, and literacy rate were all significantly related to cervical cancer incidence and mortality, with HDI and poverty rate each explaining >52% of the global variance in mortality. Both incidence and mortality rates increased in relation to lower human development and higher gender inequality levels. A 0.2 unit increase in HDI was associated with a 20% decrease in cervical cancer risk and a 33% decrease in cervical cancer mortality risk. The risk of a cervical cancer diagnosis increased by 24% and of cervical cancer death by 42% for a 0.2 unit increase in GII. Higher health expenditure levels were independently associated with decreased incidence and mortality risks.Conclusions and Public Health Implications: Global inequalities in cervical cancer are clearly linked to disparities in human development, social inequality, and living standards. Reductions in cervical cancer rates are achievable by

The association between subjective socioeconomic status and health inequity in victims of occupational accidents in Korea.

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Seok, Hongdeok; Yoon, Jin-Ha; Roh, Jaehoon; Kim, Jihyun; Kim, Yeong-Kwang; Lee, Wanhyung; Rhie, Jeongbae; Won, Jong-Uk

2017-01-24

We aimed to investigate the health inequity of victims of occupational accidents through the association between socioeconomic status and unmet healthcare need. Data from the first and second Panel Study of Workers' Compensation Insurance were used, which included 1,803 participants. The odds ratio and 95% confidence intervals for the unmet healthcare needs of participants with a lower socioeconomic status and other socioeconomic statuses were investigated using multivariate regression analysis. Among all participants, 103 had unmet healthcare needs, whereas 1,700 did not. After adjusting for sex, age, smoking, alcohol, chronic disease, recuperation duration, accident type, disability, and economic participation, the odds ratio of unmet healthcare needs in participants with a lower socioeconomic status was 2.04 (95% confidence interval 1.32-3.15) compared to participants with other socioeconomic statuses. The victims of occupational accidents who have a lower socioeconomic status are more likely to have unmet healthcare needs in comparison to those with other socioeconomic statuses.

Socioeconomic inequalities in childhood overweight: heterogeneity across five countries in the WHO European Childhood Obesity Surveillance Initiative (COSI-2008).

Science.gov (United States)

Lissner, L; Wijnhoven, T M A; Mehlig, K; Sjöberg, A; Kunesova, M; Yngve, A; Petrauskiene, A; Duleva, V; Rito, A I; Breda, J

2016-05-01

Excess risk of childhood overweight and obesity occurring in socioeconomically disadvantaged families has been demonstrated in numerous studies from high-income regions, including Europe. It is well known that socioeconomic characteristics such as parental education, income and occupation are etiologically relevant to childhood obesity. However, in the pan-European setting, there is reason to believe that inequalities in childhood weight status may vary among countries as a function of differing degrees of socioeconomic development and equity. In this cross-sectional study, we have examined socioeconomic differences in childhood obesity in different parts of the European region using nationally representative data from Bulgaria, the Czech Republic, Lithuania, Portugal and Sweden that were collected in 2008 during the first round of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative. Heterogeneity in the association between parental socioeconomic indicators and childhood overweight or obesity was clearly observed across the five countries studied. Positive as well as negative associations were observed between parental socioeconomic indicators and childhood overweight, with statistically significant interactions between country and parental indicators. These findings have public health implications for the WHO European Region and underscore the necessity to continue documenting socioeconomic inequalities in obesity in all countries through international surveillance efforts in countries with diverse geographic, social and economic environments. This is a prerequisite for universal as well as targeted preventive actions.

Socioeconomic related inequality in depression among young and middle-adult women in Indonesia׳s major cities.

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Christiani, Yodi; Byles, Julie; Tavener, Meredith; Dugdale, Paul

2015-08-15

Difficult living conditions in urban areas could result in an increased risk of developing depression, particularly among women. One of the strong predictors of depression is poverty, which could lead to inequality in risk of depression. However, previous studies found conflicting results between poverty and depression. This study examines whether depression was unequally distributed among young and middle-adult women in Indonesia׳s major cities and investigate the factors contributed to the inequality. Data from 1117 young and middle-adult women in Indonesia׳s major cities (Jakarta, Surabaya, Medan, and Bandung) were analysed. Concentration Index (CI) was calculated to measure the degree of the inequality. The CI was decomposed to investigate the factor contributing most to the inequality. The prevalence of depression was 15% and more concentrated among lower economic group (CI=-0.0545). Compared to the middle-adult group, the prevalence of depression among women in the young-adult group was significantly higher (18% vs 11%, pinequality in both group. Other factors contributing to inequality were smoking in young-adult group and marital status in middle-adult group. Contribution of education to inequality varied for different age groups. Depression is more concentrated among the lower economic groups, with household expenditure being the major factor contributing to the inequality. This finding emphasises the importance of primary care level mental health services, particularly in poorer urban communities. This study is based on a cross-sectional data, and only assesses social determinants of depression. These determinants are important to address in addition to biological determinants and other factors. Copyright © 2015 Elsevier B.V. All rights reserved.

Measuring Socioeconomic Inequality in Health, Health Care and Health Financing by Means of Rank-Dependent Indices: A Recipe for Good Practice

NARCIS (Netherlands)

G. Erreygers (Guido); T.G.M. van Ourti (Tom)

2010-01-01

textabstractThe 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

Global Inequalities in Cervical Cancer Incidence and Mortality are Linked to Deprivation, Low Socioeconomic Status, and Human Development

OpenAIRE

Gopal K. Singh, PhD; Romuladus E. Azuine, DrPH, RN; Mohammad Siahpush, PhD

2012-01-01

Objectives This study examined global inequalities in cervical cancer incidence and mortality rates as a function of cross-national variations in the Human Development Index (HDI), socioeconomic factors, Gender Inequality Index (GII), and healthcare expenditure. Methods Age-adjusted incidence and mortality rates were calculated for women in 184 countries using the 2008 GLOBOCAN database, and incidence and mortality trends were analyzed using the WHO cancer mortality database. Log-linear regre...

Impact of national cancer policies on cancer survival trends and socioeconomic inequalities in England, 1996-2013: population based study.

Science.gov (United States)

Exarchakou, Aimilia; Rachet, Bernard; Belot, Aurélien; Maringe, Camille; Coleman, Michel P

2018-03-14

To assess the effectiveness of the NHS Cancer Plan (2000) and subsequent national cancer policy initiatives in improving cancer survival and reducing socioeconomic inequalities in survival in England. Population based cohort study. England. More than 3.5 million registered patients aged 15-99 with a diagnosis of one of the 24 most common primary, malignant, invasive neoplasms between 1996 and 2013. Age standardised net survival estimates by cancer, sex, year, and deprivation group. These estimates were modelled using regression model with splines to explore changes in the cancer survival trends and in the socioeconomic inequalities in survival. One year net survival improved steadily from 1996 for 26 of 41 sex-cancer combinations studied, and only from 2001 or 2006 for four cancers. Trends in survival accelerated after 2006 for five cancers. The deprivation gap observed for all 41 sex-cancer combinations among patients with a diagnosis in 1996 persisted until 2013. However, the gap slightly decreased for six cancers among men for which one year survival was more than 65% in 1996, and for cervical and uterine cancers, for which survival was more than 75% in 1996. The deprivation gap widened notably for brain tumours in men and for lung cancer in women. Little evidence was found of a direct impact of national cancer strategies on one year survival, and no evidence for a reduction in socioeconomic inequalities in cancer survival. These findings emphasise that socioeconomic inequalities in survival remain a major public health problem for a healthcare system founded on equity. 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.

Socioeconomic inequalities in childhood and adolescent body-mass index, weight, and height from 1953 to 2015: an analysis of four longitudinal, observational, British birth cohort studies

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David Bann, PhD

2018-04-01

Full Text Available Summary: Background: Socioeconomic inequalities in childhood body-mass index (BMI have been documented in high-income countries; however, uncertainty exists with regard to how they have changed over time, how inequalities in the composite parts (ie, weight and height of BMI have changed, and whether inequalities differ in magnitude across the outcome distribution. Therefore, we aimed to investigate how socioeconomic inequalities in childhood and adolescent weight, height, and BMI have changed over time in Britain. Methods: We used data from four British longitudinal, observational, birth cohort studies: the 1946 Medical Research Council National Survey of Health and Development (1946 NSHD, 1958 National Child Development Study (1958 NCDS, 1970 British Cohort Study (1970 BCS, and 2001 Millennium Cohort Study (2001 MCS. BMI (kg/m2 was derived in each study from measured weight and height. Childhood socioeconomic position was indicated by the father's occupational social class, measured at the ages of 10–11 years. We examined associations between childhood socioeconomic position and anthropometric outcomes at age 7 years, 11 years, and 15 years to assess socioeconomic inequalities in each cohort using gender-adjusted linear regression models. We also used multilevel models to examine whether these inequalities widened or narrowed from childhood to adolescence, and quantile regression was used to examine whether the magnitude of inequalities differed across the outcome distribution. Findings: In England, Scotland, and Wales, 5362 singleton births were enrolled in 1946, 17 202 in 1958, 17 290 in 1970, and 16 404 in 2001. Low socioeconomic position was associated with lower weight at childhood and adolescent in the earlier-born cohorts (1946–70, but with higher weight in the 2001 MCS cohort. Weight disparities became larger from childhood to adolescence in the 2001 MCS but not the earlier-born cohorts (pinteraction=0·001. Low socioeconomic

Socio-economic determinants and inequities in coverage and timeliness of early childhood immunisation in rural Ghana

NARCIS (Netherlands)

Gram, Lu; Soremekun, Seyi; ten Asbroek, Augustinus; Manu, Alexander; O'Leary, Maureen; Hill, Zelee; Danso, Samuel; Amenga-Etego, Seeba; Owusu-Agyei, Seth; Kirkwood, Betty R.

2014-01-01

To assess the extent of socio-economic inequity in coverage and timeliness of key childhood immunisations in Ghana. Secondary analysis of vaccination card data collected from babies born between January 2008 and January 2010 who were registered in the surveillance system supporting the ObaapaVita

Comparison of physical, public and human assets as determinants of socioeconomic inequalities in contraceptive use in Colombia - moving beyond the household wealth index

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Marmot Michael G

2010-04-01

Full Text Available Abstract Background Colombia is a lower-middle income country that faces the challenge of addressing health inequalities. This effort includes the task of developing measures of socioeconomic position (SEP to describe and analyse disparities in health and health related outcomes. This study explores the use of a multidimensional approach to SEP, in which socioeconomic inequalities in contraceptive use are investigated along multiple dimensions of SEP. We tested the hypothesis that provision of Public capital compensated for low levels of Human capital. Methods This study used the 2005 Colombian Demographic and Health Survey (DHS dataset. The outcome measures were 'current non-use' and 'never use' of contraception. Inequalities in contraceptive behaviour along four measures of SEP were compared: the Household wealth index (HWI, Physical capital (housing, consumer durables, Public capital (publicly provided services and Human capital (level of education. Principal component analysis was applied to construct the HWI, Physical capital and Public capital measures. Logistic regression models were used to estimate relative indices of inequality (RII for each measure of SEP with both outcomes. Results Socio-economic inequalities among rural women tended to be larger than those among urban women, for all measures of SEP and for both outcomes. In models mutually adjusted for Physical, Public and Human capital and age, Physical capital identified stronger gradients in contraceptive behaviour in urban and rural areas (Current use of contraception by Physical capital in urban areas RII 2.37 95% CI (1.99-2.83 and rural areas RII 3.70 (2.57-5.33. The impact of women's level of education on contraceptive behaviour was relatively weak in households with high Public capital compared to households with low Public capital (Current use of contraception in rural areas, interaction p = Conclusions A multidimensional approach provides a framework for disentangling

Socioeconomic inequalities in self-perceived oral health among adults in Chile.

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Gallego, Francisco; Larroulet, Cristián; Palomer, Leonor; Repetto, Andrea; Verdugo, Diego

2017-01-21

This paper studies the socioeconomic disparities in self-perceived oral health among Chilean adults and in the perceived physical, functional, psychological and social consequences of oral health. In February 2011, 1,413 residents of Metropolitan Area of Santiago, Chile, were interviewed using a standardized questionnaire and examined by dentists for dental status and oral health conditions. Only adults 18 to 60 years old affiliated with the public healthcare system were eligible to participate. We estimate socioeconomic gradients in self-perceived oral health and its distinct dimensions. We use the Heckman two-step procedure to control for selection bias given the non-random nature of the sample. In addition, we use a two-equation ordered response model given the discrete nature of the dependent variable. There is a non-linear socioeconomic gradient in self-perceived oral health even after controlling for oral health status. The gradient is steep at the lower end of the income distribution and constant at mid-income levels. These socioeconomic disparities are also found for the psychological and social dimensions of self-perceived oral health, but not for the functional limitations and physical pain dimensions. The findings are consistent with inequities in the access to oral health services due to insufficient provision in the public sector and costly options in the private sector.

Health Inequality and Careers

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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…

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

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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.

Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: A systematic review

NARCIS (Netherlands)

M.A. Beenackers (Marielle); C.B.M. Kamphuis (Carlijn); K. Giskes (Katrina); J. Brug (Hans); A.E. Kunst (Anton); A. Burdorf (Alex); F.J. van Lenthe (Frank)

2012-01-01

textabstractBackground: This study systematically reviewed the evidence pertaining to socioeconomic inequalities in different domains of physical activity (PA) by European region.Methods: Studies conducted between January 2000 and December 2010 were identified by a systematic search in Pubmed,

The sociogeometry of inequality: Part II

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Eliazar, Iddo

2015-05-01

The study of socioeconomic inequality is of prime economic and social importance, and the key quantitative gauges of socioeconomic inequality are Lorenz curves and inequality indices - the most notable of the latter being the popular Gini index. In this series of papers we present a sociogeometric framework to the study of socioeconomic inequality. In this part we focus on the gap between the rich and the poor, which is quantified by gauges termed disparity curves. We shift from disparity curves to disparity sets, define inequality indices in terms of disparity sets, and introduce and explore a collection of distance-based and width-based inequality indices stemming from the geometry of disparity sets. We conclude with mean-absolute-deviation (MAD) representations of the inequality indices established in this series of papers, and with a comparison of these indices to the popular Gini index.

Time trends in absolute and relative socioeconomic inequalities in leisure time physical inactivity in northern Sweden.

Science.gov (United States)

Szilcz, Máté; Mosquera, Paola A; Sebastián, Miguel San; Gustafsson, Per E

2018-02-01

The aim was to investigate the time trends in educational, occupational, and income-related inequalities in leisure time physical inactivity in 2006, 2010, and 2014 in northern Swedish women and men. This study was based on data obtained from the repeated cross-sectional Health on Equal Terms survey of 2006, 2010, and 2014. The analytical sample consisted of 20,667 (2006), 31,787 (2010), and 21,613 (2014) individuals, aged 16-84. Logistic regressions were used to model the probability of physical inactivity given a set of explanatory variables. Slope index of inequality (SII) and relative index of inequality (RII) were used as summary measures of the social gradient in physical inactivity. The linear trend in inequalities and difference between gender and years were estimated by interaction analyses. The year 2010 displayed the highest physical inactivity inequalities for all socioeconomic position indicators, but educational and occupational inequalities decreased in 2014. However, significant positive linear trends were found in absolute and relative income inequalities. Moreover, women had significantly higher RII of education in physical inactivity in 2014 and significantly higher SII and RII of income in physical inactivity in 2010, than did men in the same years. The recent reduction in educational and occupational inequalities following the high inequalities around the time of the great recession in 2010 suggests that the current policies might be fairly effective. However, to eventually alleviate inequities in physical inactivity, the focus of the researchers and policymakers should be directed toward the widening trends of income inequalities in physical inactivity.

Socioeconomic multi-domain health inequalities in Dutch primary school children.

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Vermeiren, Angelique P; Willeboordse, Maartje; Oosterhoff, Marije; Bartelink, Nina; Muris, Peter; Bosma, Hans

2018-04-09

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 fruit and vegetable consumption, daily breakfast, exposure to smoking, mental strengths and difficulties, self-efficacy, school absenteeism and learning disabilities), covering four health domains (i.e. physical health, health behaviour, mental health and academic health). Multilevel mixed effect (linear and logistic) regression analyses were applied to cross-sectional data of a Dutch quasi-experimental study that included 1403 pupils from nine primary schools. Socioeconomic background (high-middle-low) was indicated by maternal education (n = 976) and parental material deprivation (n = 784). Pupils with higher educated mothers had lower BMIs, higher handgrip strength and higher cardiovascular fitness; their parents reported more daily fruit and vegetable consumption, daily breakfast and less exposure to smoking. Furthermore these pupils showed less mental difficulties and less school absenteeism compared with pupils whose mothers had a lower education level. When using parental material deprivation as socio-economic indicator, similar results were found for BMI, cardiovascular fitness, sleep duration, exposure to smoking and mental strengths and difficulties. Socio-economic differences in handgrip strength, cardiovascular fitness and sleep duration were larger in older than in younger pupils. Childhood SEHI are clearly found across multiple domains, and some are larger in older than in younger pupils. Interventions aiming to tackle SEHI may therefore need a comprehensive and perhaps more fundamental approach.

Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: A systematic review

NARCIS (Netherlands)

Beenackers, Marielle A.; Kamphuis, Carlijn B. M.; Giskes, Katrina; Brug, Johannes; Kunst, Anton E.; Burdorf, Alex; van Lenthe, Frank J.

2012-01-01

Background: This study systematically reviewed the evidence pertaining to socioeconomic inequalities in different domains of physical activity (PA) by European region. Methods: Studies conducted between January 2000 and December 2010 were identified by a systematic search in Pubmed, Embase, Web of

Inequalities in maternal care in Italy: the role of socioeconomic and migrant status

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Laura Lauria

2013-06-01

Full Text Available INTRODUCTION: Maternal care is affected by socioeconomic factors. This study analyses the effect of maternal education, employment and citizenship on some antenatal and postnatal care indicators in Italy. METHODS: Data are from two population-based follow-up surveys conducted to evaluate the quality of maternal care in 25 Italian Local Health Units in 2008/9 and 2010/1 (6942 women. Logistic models were applied and interactions among independent variables were explored. RESULTS: Education and employment status affect antenatal and postnatal care indicators and migrant women are less likely to make use of health opportunities. Low education status exacerbates the initial social disadvantage of migrants. Migrant women are also more affected by socioeconomic pressure to restart working early, with negative impact on postnatal care. CONCLUSIONS: Interventions focusing on women's empowerment may tackle inequalities in maternal care for those women, Italians or migrants, who have a worse initial maternal health literacy due to their lower socioeconomic conditions.

Socioeconomic Inequalities in Nonuse of Seatbelts in Cars and Helmets on Motorcycles among People Living in Kurdistan Province, Iran.

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Moradi, Ghobad; Malekafzali Ardakani, Hossein; Majdzadeh, Reza; Bidarpour, Farzam; Mohammad, Kazem; Holakouie-Naieni, Kourosh

2014-09-01

The aim of this study was to determine the socioeconomic inequalities in nonuse of seatbelts in cars and helmets on motorcycles in Kurdistan Province, west of Iran, 2009. The data used in this study was collected from the data gathered in non-communicable disease surveillance system (NCDSS) in 2009 in Kurdistan. A total of 1000 people were included in this study. The outcome variable of this study was the nonuse of seatbelts and helmets. The socio-economic status (SES) was calculated based on participants' residential area and assets using Principal Component Analysis (PCA) method. The concentration index, concentration curve, and comparison of Odds Ratio (OR) in different SES groups were used to measure the socioeconomic inequalities using logistic regression. In order to determine the contribution of determinants of inequality, decomposition analysis was used. The prevalence of nonuse of seatbelts in cars and helmets on motorcycles were 47.5%, 95%CI [44%, 55%], respectively. The Concentration index was -0.097, CI [-0.148, -0.046]. The OR of nonuse of seatbelts in cars and helmets on motorcycles in the richest group compared with the poorest group was 0.39, 95%CI [0.23, 0.68]. The results of the decomposition analysis showed that 34% of inequalities were due to SES, 47% were due to residential area, and 12% were due to unknown factors. There is a reverse association between SES and nonuse of seatbelts in cars and helmets on motorcycles. This issue must be considered while planning to reduce traffic accidents injuries.

Twenty years of socio-economic inequalities in type 2 diabetes mellitus prevalence in Spain, 1987-2006

NARCIS (Netherlands)

Espelt, Albert; Kunst, Anton E.; Palència, Laia; Gnavi, Roberto; Borrell, Carme

2012-01-01

Background: To analyse trends in socio-economic inequalities in the prevalence of diabetes among men and women aged epsilon 35 years in Spain during the period 1987-2006. Methods: We analysed trends in the age-standardized prevalence of self-reported diabetes and obesity in relation to level of

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

NARCIS (Netherlands)

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

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,

Causality, selectivity or artefacts? Why socioeconomic inequalities in health are not smallest in the Nordic countries : Commentaries

NARCIS (Netherlands)

Huijts, T.; Eikemo, T.A

2009-01-01

Commentaries: The Nordic welfare states aim at providing equality of the highest standards for all their citizens. However, numerous studies have demonstrated that socioeconomic inequalities in morbidity and mortality are not among the smallest in these countries as compared with other European

Heart failure and socioeconomic status: accumulating evidence of inequality.

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Hawkins, Nathaniel M; Jhund, Pardeep S; McMurray, John J V; Capewell, Simon

2012-02-01

Socioeconomic status (SES) is a powerful predictor of incident coronary disease and adverse cardiovascular outcomes. Understanding the impact of SES on heart failure (HF) development and subsequent outcomes may help to develop effective and equitable prevention, detection, and treatment strategies A systematic literature review of electronic databases including PubMed, EMBASE, CINAHL, and the Cochrane Library, restricted to human subjects, was carried out. The principal outcomes were incidence, prevalence, hospitalizations, mortality, and treatment of HF. Socioeconomic measures included education, occupation, employment relations, social class, income, housing characteristics, and composite and area level indicators. Additional studies were identified from bibliographies of relevant articles and reviews. Twenty-eight studies were identified. Lower SES was associated with increased incidence of HF, either in the community or presenting to hospital. The adjusted risk of developing HF was increased by ∼30-50% in most reports. Readmission rates following hospitalization were likewise greater in more deprived patients. Although fewer studies examined mortality, lower SES was associated with poorer survival. Evidence defining the equity of medical treatment of patients with HF was scarce and conflicting. Socioeconomic deprivation is a powerful independent predictor of HF development and adverse outcomes. However, the precise mechanisms accounting for this risk remain elusive. Heart failure represents the endpoint of numerous different pathophysiological processes and 'chains of events', each modifiable throughout the disease trajectories. The interaction between SES and HF is accordingly complex. Disentangling the many and varied life course processes is challenging. A better understanding of these issues may help attenuate the health inequalities so clearly evident among patients with HF.

Decomposing the gap in missed opportunities for vaccination between poor and non-poor in sub-Saharan Africa: A multicountry analyses.

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Ndwandwe, Duduzile; Uthman, Olalekan A; Adamu, Abdu; Sambala, Evanson Z; Wiyeh, Alison B; Olukade, Tawa; Bishwajit, Ghose; Yaya, Sanni; Okwo-Bele, Jean-Marie; Wiysonge, Charles S

2018-04-24

Understanding the gaps in missed opportunities for vaccination (MOV) between poor and non-poor in sub-Saharan Africa (SSA) would enable an understanding of factors associated with interventions for improving immunisation coverage to achieving universal childhood immunisation. We aimed to conduct a multicountry analyses to decompose the gap in MOV between poor and non-poor in SSA. We used cross-sectional data from 35 Demographic and Health Surveys in SSA conducted between 2007 and 2016. Descriptive statistics used to understand the gap in MOV between the urban poor and non-poor, and across the selected covariates. Out of the 35 countries included in this analysis, 19 countries showed pro-poor inequality, 5 showed pro-non-poor inequality and remaining 11 countries showed no statistically significant inequality. Among the countries with statistically significant pro-illiterate inequality, the risk difference ranged from 4.2% in DR Congo to 20.1% in Kenya. Important factors responsible for the inequality varied across countries. In Madagascar, the largest contributors to inequality in MOV were media access, number of under-five children, and maternal education. However, in Liberia media access narrowed inequality in MOV between poor and non-poor households. The findings indicate that in most SSA countries, children belonging to poor households are most likely to have MOV and that socio-economic inequality in is determined not only by health system functions, but also by factors beyond the scope of health authorities and care delivery system. The findings suggest the need for addressing social determinants of health.

A tour of inequality

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Eliazar, Iddo

2018-02-01

This paper presents a concise and up-to-date tour to the realm of inequality indices. Originally devised for socioeconomic applications, inequality indices gauge the divergence of wealth distributions in human societies from the socioeconomic 'ground state' of perfect equality, i.e. pure communism. Inequality indices are quantitative scores that take values in the unit interval, with the zero score characterizing perfect equality. In effect, inequality indices are applicable in the context of general distributions of sizes - non-negative quantities such as count, length, area, volume, mass, energy, and duration. For general size distributions, which are omnipresent in science and engineering, inequality indices provide multi-dimensional and infinite-dimensional quantifications of the inherent inequality - i.e., the statistical heterogeneity, the non-determinism, the randomness. This paper compactly describes the insights and the practical implementation of inequality indices.

Economic Inequality in Presenting Vision in Shahroud, Iran: Two Decomposition Methods

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Asieh Mansouri

2018-01-01

Full Text Available Background Visual acuity, like many other health-related problems, does not have an equal distribution in terms of socio-economic factors. We conducted this study to estimate and decompose economic inequality in presenting visual acuity using two methods and to compare their results in a population aged 40-64 years in Shahroud, Iran. Methods: The data of 5188 participants in the first phase of the Shahroud Cohort Eye Study, performed in 2009, were used for this study. Our outcome variable was presenting vision acuity (PVA that was measured using LogMAR (logarithm of the minimum angle of resolution. The living standard variable used for estimation of inequality was the economic status and was constructed by principal component analysis on home assets. Inequality indices were concentration index and the gap between low and high economic groups. We decomposed these indices by the concentration index and BlinderOaxaca decomposition approaches respectively and compared the results. Results The concentration index of PVA was -0.245 (95% CI: -0.278, -0.212. The PVA gap between groups with a high and low economic status was 0.0705 and was in favor of the high economic group. Education, economic status, and age were the most important contributors of inequality in both concentration index and Blinder-Oaxaca decomposition. Percent contribution of these three factors in the concentration index and Blinder-Oaxaca decomposition was 41.1% vs. 43.4%, 25.4% vs. 19.1% and 15.2% vs. 16.2%, respectively. Other factors including gender, marital status, employment status and diabetes had minor contributions. Conclusion This study showed that individuals with poorer visual acuity were more concentrated among people with a lower economic status. The main contributors of this inequality were similar in concentration index and Blinder-Oaxaca decomposition. So, it can be concluded that setting appropriate interventions to promote the literacy and income level in people

Socio-economic inequalities in health, habits and self-care during pregnancy in Spain.

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Larrañaga, Isabel; Santa-Marina, Loreto; Begiristain, Haizea; Machón, Mónica; Vrijheid, Martine; Casas, Maribel; Tardón, Adonina; Fernández-Somoano, Ana; Llop, Sabrina; Rodriguez-Bernal, Clara L; Fernandez, Mariana F

2013-09-01

Socioeconomic disadvantage can be harmful for mother's health and can influence child's health long term. The aim of this study is to analyse social inequalities between pregnant women from four INMA (INfancia y Medio Ambiente) cohorts. The analysis included 2,607 pregnant women recruited between 2004 and 2008 from four INMA cohorts. Data on maternal characteristics were collected through two questionnaires completed in the first and third trimester of pregnancy. The relationship between socioeconomic status (SES) and maternal health, dietary intake, lifestyle habits and self-care related variables was modelled using logistic regression analysis. 33.5 % of women had a university level of education and 47 % had high occupational class. Women with higher SES reported healthier habits, fewer complications during pregnancy, better weight gain control and attended more prenatal appointments than women with lower SES. The risk of sedentary behaviour and passive smoking was higher among women with a lower level of education (OR = 1.7, 95 % CI 1.3-2.2 and OR = 1.6, 95 % CI 1.2-2.3, respectively) and with less skilled occupations (OR = 1.7, 95 % CI 1.4-2.0 and OR = 1.2, 95 % CI 1.0-1.5, respectively). Although both SES indicators-occupation and education-act as social determinants of diet, occupation was a more powerful determinant than education. For other lifestyle and self-caring variables, education was a more powerful predictor than occupation. Social inequalities were observed in health, habits and self-care during pregnancy. Proper care during pregnancy requires the control of common clinical variables and the knowledge of socioeconomic conditions of the pregnant women.

Are some areas more equal than others? Socioeconomic inequality in potentially avoidable emergency hospital admissions within English local authority areas.

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Sheringham, Jessica; Asaria, Miqdad; Barratt, Helen; Raine, Rosalind; Cookson, Richard

2017-04-01

Objectives Reducing health inequalities is an explicit goal of England's health system. Our aim was to compare the performance of English local administrative areas in reducing socioeconomic inequality in emergency hospital admissions for ambulatory care sensitive chronic conditions. Methods We used local authority area as a stable proxy for health and long-term care administrative geography between 2004/5 and 2011/12. We linked inpatient hospital activity, deprivation, primary care, and population data to small area neighbourhoods (typical population 1500) within administrative areas (typical population 250,000). We measured absolute inequality gradients nationally and within each administrative area using neighbourhood-level linear models of the relationship between national deprivation and age-sex-adjusted emergency admission rates. We assessed local equity performance by comparing local inequality against national inequality to identify areas significantly more or less equal than expected; evaluated stability over time; and identified where equity performance was steadily improving or worsening. We then examined associations between change in socioeconomic inequalities and change in within-area deprivation (gentrification). Finally, we used administrative area-level random and fixed effects models to examine the contribution of primary care to inequalities in admissions. Results Data on 316 administrative areas were included in the analysis. Local inequalities were fairly stable between consecutive years, but 32 areas (10%) showed steadily improving or worsening equity. In the 21 improving areas, the gap between most and least deprived fell by 3.9 admissions per 1000 (six times the fall nationally) between 2004/5 and 2011/12, while in the 11 areas worsening, the gap widened by 2.4. There was no indication that measured improvements in local equity were an artefact of gentrification or that changes in primary care supply or quality contributed to changes in

Socioeconomic inequalities in prognostic markers of non-Hodgkin lymphoma: analysis of a national clinical database

DEFF Research Database (Denmark)

Frederiksen, Birgitte Lidegaard; Brown, Peter de Nully; Dalton, Susanne Oksbjerg

2011-01-01

in histological subgroups reflecting aggressiveness of disease among the social groups. One of the most likely mechanisms of the social difference is longer delay in those with low socioeconomic position. The findings of social inequality in prognostic markers in non-Hodgkin lymphoma (NHL) patients could already......The survival of non-Hodgkin lymphoma patients strongly depends on a range of prognostic factors. This registry-based clinical cohort study investigates the relation between socioeconomic position and prognostic markers in 6234 persons included in a national clinical database in 2000-2008, Denmark....... Several measures of individual socioeconomic position were achieved from Statistics Denmark. The risk of being diagnosed with advanced disease, as expressed by the six prognostic markers (Ann Arbor stage III or IV, more than one extranodal lesion, elevated serum lactate dehydrogenase (LDH), performance...

Socioeconomic, Rural-Urban, and Racial Inequalities in US Cancer Mortality: Part I-All Cancers and Lung Cancer and Part II-Colorectal, Prostate, Breast, and Cervical Cancers

International Nuclear Information System (INIS)

Singh, K. G.; Williams, S. D.

2011-01-01

We analyzed socioeconomic, rural-urban, and racial inequalities in US mortality from all cancers, lung, colorectal, prostate, breast, and cervical cancers. A deprivation index and rural-urban continuum were linked to the 2003-2007 county-level mortality data. Mortality rates and risk ratios were calculated for each socioeconomic, rural-urban, and racial group. Weighted linear regression yielded relative impacts of deprivation and rural-urban residence. Those in more deprived groups and rural areas had higher cancer mortality than more affluent and urban residents, with excess risk being marked for lung, colorectal, prostate, and cervical cancers. Deprivation and rural-urban continuum were independently related to cancer mortality, with deprivation showing stronger impacts. Socioeconomic inequalities existed for both whites and blacks, with blacks experiencing higher mortality from each cancer than whites within each deprivation group. Socioeconomic gradients in mortality were steeper in nonmetropolitanlitan areas. Mortality disparities may reflect inequalities in smoking and other cancer-risk factors, screening, and treatment

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

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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.

Socioeconomic inequalities in the impact of tobacco control policies on adolescent smoking

DEFF Research Database (Denmark)

Pförtner, Timo-Kolja; Hublet, Anne; Schnohr, Christina Warrer

2016-01-01

INTRODUCTION: There are concerns that tobacco control policies may be less effective in reducing smoking among disadvantaged socioeconomic groups and thus may contribute to inequalities in adolescent smoking. This study examines how the association between tobacco control policies and smoking of 15...... regression analyses were conducted to assess the association of weekly smoking with components of the Tobacco Control Scale (TCS), and to assess whether this association varied according to family affluence (FAS). Analyses were carried out per gender and adjusted for national wealth and general smoking rate...

Carbon inequality at the sub-national scale: A case study of provincial-level inequality in CO2 emissions in China 1997-2007

International Nuclear Information System (INIS)

Clarke-Sather, Afton; Qu Jiansheng; Wang Qin; Zeng Jingjing; Li Yan

2011-01-01

This study asks whether sub-national inequalities in carbon dioxide (CO 2 ) emissions mirror international patterns in carbon inequality using the case study of China. Several studies have examined global-level carbon inequality; however, such approaches have not been used on a sub-national scale. This study examines inter-provincial inequality in CO 2 emissions within China using common measures of inequality (coefficient of variation, Gini Index, Theil Index) to analyze provincial-level data derived from the IPCC reference approach for the years 1997-2007. It decomposes CO 2 emissions inequality into its inter-regional and intra-regional components. Patterns of per capita CO 2 emissions inequality in China appear superficially similar to, though slightly lower than, per capita income inequality. However, decomposing these inequalities reveals different patterns. While inter-provincial income inequality is highly regional in character, inter-provincial CO 2 emissions inequality is primarily intra-regional. While apparently similar, global patterns in CO 2 emissions are not mirrored at the sub-national scale. - Highlights: → Carbon inequality is different in character within China than at global scale. → Interprovincial CO 2 emissions inequality in China is slightly lower than income inequality. → Interprovincial GDP inequality in China is regional in character. → Interprovincial CO 2 emissions inequality in China is not regional in character.

Socioeconomic inequality in preterm birth in four Brazilian birth cohort studies

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Ana Daniela Izoton de Sadovsky

2018-01-01

inequality, ajustados por cor da pele, escolaridade, idade e estado civil maternos. Resultados: Houve aumento da prevalência de prematuros de 5,8 para cerca de 14% (p de tendência <0,001. O prematuro tardio foi a maior proporção encontrada dentre os que nasceram prematuros em todos os estudos, embora reduzindo suas taxas ao longo dos anos. A análise do slope index of inequality demonstrou iniquidade decorrente de renda nos estudos de 1993, 2004 e 2011. Após ajuste, apenas o estudo de 2004 manteve a diferença entre os mais pobres e os mais ricos, que foi de 6.3 pontos percentuais. Através do relative index of inequality, observou-se que, em todos os estudos, as mães mais pobres tiveram maior chance de ter prematuros, em comparação com as mais ricas. O ajuste para fatores de confusão demonstrou a manutenção dos mais pobres com maior chance do desfecho apenas em 2004. Conclusão: No modelo final, iniquidades econômicas decorrentes da renda foram encontradas no nascimento de prematuros apenas em 2004, apesar da manutenção de maior ocorrência da prematuridade na população mais pobre, em todos os estudos. Keywords: Inequality, Income, Socioeconomic factors, Poverty, Preterm, Palavras-chave: Desigualdades, Renda, Fatores socioeconômicos, Pobreza, Prematuro

Decomposing Trends in Inequality in Earnings into Forecastable and Uncertain Components

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Cunha, Flavio; Heckman, James

2015-01-01

A substantial empirical literature documents the rise in wage inequality in the American economy. It is silent on whether the increase in inequality is due to components of earnings that are predictable by agents or whether it is due to greater uncertainty facing them. These two sources of variability have different consequences for both aggregate and individual welfare. Using data on two cohorts of American males we find that a large component of the rise in inequality for less skilled workers is due to uncertainty. For skilled workers, the rise is less pronounced. PMID:27087741

Socioeconomic inequalities in cause-specific mortality after disability retirement due to different diseases.

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Polvinen, A; Laaksonen, M; Gould, R; Lahelma, E; Leinonen, T; Martikainen, P

2015-03-01

Socioeconomic inequalities in both disability retirement and mortality are large. The aim of this study was to examine socioeconomic differences in cause-specific mortality after disability retirement due to different diseases. We used administrative register data from various sources linked together by Statistics Finland and included an 11% sample of the Finnish population between the years 1987 and 2007. The data also include an 80% oversample of the deceased during the follow-up. The study included men and women aged 30-64 years at baseline and those who turned 30 during the follow-up. We used Cox regression analysis to examine socioeconomic differences in mortality after disability retirement. Socioeconomic differences in mortality after disability retirement were smaller than in the population in general. However, manual workers had a higher risk of mortality than upper non-manual employees after disability retirement due to mental disorders and cardiovascular diseases, and among men also diseases of the nervous system. After all-cause disability retirement, manual workers ran a higher risk of cardiovascular and alcohol-related death. However, among men who retired due to mental disorders or cardiovascular diseases, differences in social class were found for all causes of death examined. For women, an opposite socioeconomic gradient in mortality after disability retirement from neoplasms was found. Conclusions: The disability retirement process leads to smaller socioeconomic differences in mortality compared with those generally found in the population. This suggests that the disability retirement system is likely to accurately identify chronic health problems with regard to socioeconomic status. © 2014 the Nordic Societies of Public Health.

Decomposing inequality in financial protection situation in Iran after implementing the health reform plan: What does the evidence show based on national survey of households' budget?

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Moradi, Tayebeh; Naghdi, Seyran; Brown, Heather; Ghiasvand, Hesam; Mobinizadeh, Mohammadreza

2018-03-24

Lack of well-designed healthcare financing mechanisms and high level of out-of-pocket payments in Iran over the last decades led to implementing Health Transformation Plan, in 2014. This study aims to decompose inequality in financial protection of Iranian households after the implementation of the Health Transformation Plan. The data of Statistical Center of Iran (SCI) Survey on Rural and Urban Households Income-Expenditure in 2015 to 2016 were used. The headcount ratio of catastrophic health expenditures was calculated. The corrected concentration index was estimated. The role of contributors on inequality in the exposure to catastrophic health expenditures among poor and nonpoor households was calculated using Farelie's model. The headcount ratio of the exposure to catastrophic health expenditures in urban and rural households was 4.58% and 5.65%, respectively. The difference in households' income levels was the main contributor in explaining the inequality in facing catastrophic health expenditures between poor and nonpoor households. Even after implementing the HTP, the headcount ratios of catastrophic health expenditure are still considerable. The results show that income is the greatest determinant of inequality in facing catastrophic health expenditure and in urban households. Copyright © 2018 John Wiley & Sons, Ltd.

Is lower symptom recognition associated with socioeconomic inequalities in help-seeking for potential breast cancer symptoms?

Science.gov (United States)

Davies, Hilary; Marcu, Afrodita; Vedsted, Peter; Whitaker, Katriina L

2018-02-01

Socioeconomic inequalities in recognising signs and symptoms of cancer may result in inequalities in timely help-seeking and subsequent prognosis of breast cancer. We explored the mediating role of symptom attribution and concern on the relationship between level of education and help-seeking for potential breast cancer symptoms. Women aged ≥47 years (n = 961) were purposively recruited (by education) to complete an online vignette-based survey that included nipple rash and axillary lump (in separate vignettes) as potential symptoms of breast cancer. Women completed questions relating to medical help-seeking (yes/no), cancer attribution, symptom concern, cancer avoidance, family history, and demographics. Women with low education and mid education attributed nipple rash less often to cancer (26% and 27% mentioned cancer) than women with a degree or higher (40%). However, women with a degree or higher (63%) or mid education (64%) were less likely to anticipate seeking help for the nipple rash than women with no formal qualifications (73%). This association was statistically significant in the 60- to 69-year-old age group. There was no significant association between education and help-seeking for axillary lump. Mediation analysis adjusting for potential confounders confirmed that the association between education and help-seeking for nipple rash was fully mediated by symptom concern. Socioeconomic inequalities in stage at diagnosis and survival of breast cancer may not always be explained by lower likelihood of suspecting cancer and subsequent impact on help-seeking. Reducing inequalities in stage at diagnosis will involve understanding a broader range of bio-psycho-social factors (eg, comorbidities and healthcare system factors). Copyright © 2017 John Wiley & Sons, Ltd.

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.

Carbon inequality at the sub-national scale: A case study of provincial-level inequality in CO{sub 2} emissions in China 1997-2007

Energy Technology Data Exchange (ETDEWEB)

Clarke-Sather, Afton, E-mail: Afton.Clarke-Sather@colorado.edu [Scientific Information Center for Resources and Environment, Lanzhou Branch of the National Science Library, Chinese Academy of Sciences, 8 Middle Tianshui Road, Lanzhou 730000 (China); Department of Geography, University of Colorado, Boulder, 260 UCB, Boulder, CO 80309 (United States); Qu Jiansheng [Scientific Information Center for Resources and Environment, Lanzhou Branch of the National Science Library, Chinese Academy of Sciences, 8 Middle Tianshui Road, Lanzhou 730000 (China); MOE Key Laboratory of Western China' s Environmental Systems, Research School of Arid Environment and Climate Change, Lanzhou University, Lanzhou (China); Wang Qin [MOE Key Laboratory of Western China' s Environmental Systems, Research School of Arid Environment and Climate Change, Lanzhou University, Lanzhou (China); Zeng Jingjing [Scientific Information Center for Resources and Environment, Lanzhou Branch of the National Science Library, Chinese Academy of Sciences, 8 Middle Tianshui Road, Lanzhou 730000 (China); Li Yan [MOE Key Laboratory of Western China' s Environmental Systems, Research School of Arid Environment and Climate Change, Lanzhou University, Lanzhou (China)

2011-09-15

This study asks whether sub-national inequalities in carbon dioxide (CO{sub 2}) emissions mirror international patterns in carbon inequality using the case study of China. Several studies have examined global-level carbon inequality; however, such approaches have not been used on a sub-national scale. This study examines inter-provincial inequality in CO{sub 2} emissions within China using common measures of inequality (coefficient of variation, Gini Index, Theil Index) to analyze provincial-level data derived from the IPCC reference approach for the years 1997-2007. It decomposes CO{sub 2} emissions inequality into its inter-regional and intra-regional components. Patterns of per capita CO{sub 2} emissions inequality in China appear superficially similar to, though slightly lower than, per capita income inequality. However, decomposing these inequalities reveals different patterns. While inter-provincial income inequality is highly regional in character, inter-provincial CO{sub 2} emissions inequality is primarily intra-regional. While apparently similar, global patterns in CO{sub 2} emissions are not mirrored at the sub-national scale. - Highlights: > Carbon inequality is different in character within China than at global scale. > Interprovincial CO{sub 2} emissions inequality in China is slightly lower than income inequality. > Interprovincial GDP inequality in China is regional in character. > Interprovincial CO{sub 2} emissions inequality in China is not regional in character.

How could differences in 'control over destiny' lead to socio-economic inequalities in health? A synthesis of theories and pathways in the living environment.

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Whitehead, Margaret; Pennington, Andy; Orton, Lois; Nayak, Shilpa; Petticrew, Mark; Sowden, Amanda; White, Martin

2016-05-01

We conducted the first synthesis of theories on causal associations and pathways connecting degree of control in the living environment to socio-economic inequalities in health-related outcomes. We identified the main theories about how differences in 'control over destiny' could lead to socio-economic inequalities in health, and conceptualised these at three distinct explanatory levels: micro/personal; meso/community; and macro/societal. These levels are interrelated but have rarely been considered together in the disparate literatures in which they are located. This synthesis of theories provides new conceptual frameworks to contribute to the design and conduct of theory-led evaluations of actions to tackle inequalities in health. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

[Trends in socioeconomic inequalities in mortality over a twenty-two-year period in the city of Barcelona (Spain)].

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Dalmau-Bueno, Albert; García-Altés, Anna; Marí-Dell'Olmo, Marc; Pérez, Katherine; Kunst, Anton E; Borrell, Carme

2010-01-01

To analyze the trend in socioeconomic inequalities in all-cause mortality in Barcelona from 1983 to 2004. We performed an ecological study of trends over 4 cross-sections (1983-1988, 1989-1994, 1995-1999 and 2000-2004), with the basic health area (BHA) as the unit of analysis. The study population consisted of men and women aged 20 years or more living in Barcelona. The information sources were the mortality registry, the municipal census and the census of inhabitants and dwellings. The age- and sex-specific mortality rate (ASMR) for all causes was used as the dependent variable. As the independent variable, a composite index of socioeconomic deprivation of the BHA was calculated; BHAs were grouped in quartiles according to the values on the index. Poisson models were adjusted to estimate the relative risk of mortality from all causes in the 4 groups of BHA, stratified by age groups and sex. In all the study periods, inequalities in mortality were found, depending on the BHA of residence, both for men and for women: the ASMR of the most deprived BHAs were greater than those of less deprived BHA, and were greater among men than among women. Likewise, relative risks in the youngest age groups were higher than in the oldest age groups. However, from the second to fourth study periods, inequalities decreased in absolute and relative terms, especially among men. Inequalities in mortality persist in BHA in Barcelona but have decreased over the last 2 decades. Public policies should take this information into account when tackling inequalities among BHA. Copyright 2009 SESPAS. Published by Elsevier Espana. All rights reserved.

Are interventions to promote healthy eating equally effective for all? Systematic review of socioeconomic inequalities in impact.

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McGill, Rory; Anwar, Elspeth; Orton, Lois; Bromley, Helen; Lloyd-Williams, Ffion; O'Flaherty, Martin; Taylor-Robinson, David; Guzman-Castillo, Maria; Gillespie, Duncan; Moreira, Patricia; Allen, Kirk; Hyseni, Lirije; Calder, Nicola; Petticrew, Mark; White, Martin; Whitehead, Margaret; Capewell, Simon

2015-05-02

Interventions to promote healthy eating make a potentially powerful contribution to the primary prevention of non communicable diseases. It is not known whether healthy eating interventions are equally effective among all sections of the population, nor whether they narrow or widen the health gap between rich and poor. We undertook a systematic review of interventions to promote healthy eating to identify whether impacts differ by socioeconomic position (SEP). We searched five bibliographic databases using a pre-piloted search strategy. Retrieved articles were screened independently by two reviewers. Healthier diets were defined as the reduced intake of salt, sugar, trans-fats, saturated fat, total fat, or total calories, or increased consumption of fruit, vegetables and wholegrain. Studies were only included if quantitative results were presented by a measure of SEP. Extracted data were categorised with a modified version of the "4Ps" marketing mix, expanded to 6 "Ps": "Price, Place, Product, Prescriptive, Promotion, and Person". Our search identified 31,887 articles. Following screening, 36 studies were included: 18 "Price" interventions, 6 "Place" interventions, 1 "Product" intervention, zero "Prescriptive" interventions, 4 "Promotion" interventions, and 18 "Person" interventions. "Price" interventions were most effective in groups with lower SEP, and may therefore appear likely to reduce inequalities. All interventions that combined taxes and subsidies consistently decreased inequalities. Conversely, interventions categorised as "Person" had a greater impact with increasing SEP, and may therefore appear likely to reduce inequalities. All four dietary counselling interventions appear likely to widen inequalities. We did not find any "Prescriptive" interventions and only one "Product" intervention that presented differential results and had no impact by SEP. More "Place" interventions were identified and none of these interventions were judged as likely to widen

The impact of age at diagnosis on socioeconomic inequalities in adult cancer survival in England.

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Nur, Ula; Lyratzopoulos, Georgios; Rachet, Bernard; Coleman, Michel P

2015-08-01

Understanding the age at which persistent socioeconomic inequalities in cancer survival become apparent may help motivate and support targeting of cancer site-specific interventions, and tailoring guidelines to patients at higher risk. We analysed data on more than 40,000 patients diagnosed in England with one of three common cancers in men and women, breast, colon and lung, 2001-2005 with follow-up to the end of 2011. We estimated net survival for each of the five deprivation categories (affluent, 2, 3, 4, deprived), cancer site, sex and age group (15-44, 45-54, 55-64, and 65-74 and 75-99 years). The magnitude and pattern of the age specific socioeconomic inequalities in survival was different for breast, colon and lung. For breast cancer the deprivation gap in 1-year survival widened with increasing age at diagnosis, whereas the opposite was true for lung cancer, with colon cancer having an intermediate pattern. The 'deprivation gap' in 1-year breast cancer survival widened steadily from -0.8% for women diagnosed at 15-44 years to -4.8% for women diagnosed at 75-99 years, and was the widest for women diagnosed at 65-74 years for 5- and 10-year survival. For colon cancer in men, the gap was widest in patients diagnosed aged 55-64 for 1-, 5- and 10-year survival. For lung cancer, the 'deprivation gap' in survival in patients diagnoses aged 15-44 years was more than 10% for 1-year survival in men and for 1- and 5-year survival in women. Our findings suggest that reduction of socioeconomic inequalities in survival will require updating of current guidelines to ensure the availability of optimal treatment and appropriate management of lung cancer patients in all age groups and older patients in deprived groups with breast or colon cancer. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice

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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

The impact of socioeconomic inequalities and lack of health insurance on physical functioning among middle-aged and older adults in the United States.

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Kim, Jinhyun; Richardson, Virginia

2012-01-01

Socioeconomic inequalities and lack of private health insurance have been viewed as significant contributors to health disparities in the United States. However, few studies have examined their impact on physical functioning over time, especially in later life. The current study investigated the impact of socioeconomic inequalities and lack of private health insurance on individuals' growth trajectories in physical functioning, as measured by activities of daily living. Data from the Health and Retirement Study (1994-2006) were used for this study, 6519 black and white adults who provided in-depth information about health, socioeconomic, financial and health insurance information were analysed. Latent growth curve modelling was used to estimate the initial level of physical functioning and its rate of change over time. Results showed that higher level of income and assets and having private health insurance significantly predicted better physical functioning. In particular, decline in physical functioning was slower among those who had private health insurance. Interestingly, changes in economic status, such as decreases in income and assets, had a greater impact on women's physical functioning than on men's. Black adults did not suffer more rapid declines in physical functioning than white adults after controlling for socioeconomic status. The current longitudinal study suggested that anti-poverty and health insurance policies should be enhanced to reduce the negative impact of socioeconomic inequalities on physical functioning throughout an individual's life course. © 2011 Blackwell Publishing Ltd.

Socioeconomic inequality in the provision of specific preventive dental interventions among children in the UK: Children's Dental Health Survey 2003.

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Shaban, R; Kassim, S; Sabbah, W

2017-06-09

Aim To assess socioeconomic inequality regarding specific preventive interventions (fissure sealants or any treatment to prevent caries) and dental visits among UK children.Method Data were from the Children's Dental Health Survey 2003, which included participants from England, Wales, Scotland, and Northern Ireland. The number of children in the analysis was 2,286. Variables were sex, age, area of residency (for example, England), mother's education, family social class, and deprivation level. Descriptive and regression analyses were performed.Results There were no significant socioeconomic differences in the use of preventive services. Deprivation and family social class (for example, intermediate and manual) were significantly associated with less regular dental visits (odd ratio 0.41, 95% CI [0.28, 0.63]; odd ratio 0.53, 95% CI [0.31, 0.89]; odd ratio 0.37, 95% CI [0.24, 0.58], respectively). Regular dental visits were associated with reporting preventive care for caries (odds ratio 2.25, 95% CI [1.45, 3.49]) and with the number of sealed tooth surfaces (rate ratio 1.73, 95% CI [1.16, 2.60]).Conclusion Despite apparent socioeconomic inequalities in regular dental visits, there was no significant inequality in using specific preventive interventions by children in the UK. This finding should be interpreted with caution considering the relatively small subsample included in this analysis.

Socioeconomic inequalities in stillbirth rates in Europe: measuring the gap using routine data from the Euro-Peristat Project

NARCIS (Netherlands)

Zeitlin, J.; Mortensen, L.; Prunet, C.; Macfarlane, A.; Hindori-Mohangoo, A.D.; Gissler, M.; Szamotulska, K.; Pal, K. van der; Bolumar, F.; Andersen, A.M.; Ólafsdóttir, H.S.; Zhang, W.H.; Blondel, B.; Alexander, S.

2016-01-01

Background: Previous studies have shown that socioeconomic position is inversely associated with stillbirth risk, but the impact on national rates in Europe is not known. We aimed to assess the magnitude of social inequalities in stillbirth rates in European countries using indicators generated from

Socioeconomic inequalities in general and psychological health among adolescents: a cross-sectional study in senior high schools in Greece

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Zissi Anastasia

2010-01-01

Full Text Available Abstract Background Socioeconomic health inequalities in adolescence are not consistently reported. This may be due to the measurement of self-reported general health, which probably fails to fully capture the psychological dimension of health, and the reliance on traditional socio-economic indicators, such as parental education or occupational status. The present study aimed at investigating this issue using simple questions to assess both the physical and psychological dimension of health and a broader set of socioeconomic indicators than previously used. Methods This was a cross-sectional survey of 5614 adolescents aged 16-18 years-old from 25 senior high schools in Greece. Self-reported general and psychological health were both measured by means of a simple Likert-type question. We assessed the following socio-economic variables: parents' education, parents' employment status, a subjective assessment of the financial difficulties experienced by the family and adolescents' own academic performance as a measure of the personal social position in the school setting. Results One out of ten (10% and one out of three (32% adolescents did not enjoy good general and psychological health respectively. For both health variables robust associations were found in adolescents who reported more financial difficulties in the family and had worse academic performance. The latter was associated with psychological health in a more linear way. Father's unemployment showed a non-significant trend for an association with worse psychological health in girls only. Conclusions Socioeconomic inequalities exist in this period of life but are more easily demonstrated with more subjective socioeconomic indicators, especially for the psychological dimension of health.

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

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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

Ethnic, socioeconomic and geographical inequalities in road traffic injury rates in the Auckland region.

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Hosking, Jamie; Ameratunga, Shanthi; Exeter, Daniel; Stewart, Joanna; Bell, Andrew

2013-04-01

To describe ethnic, socioeconomic and geographical differences in road traffic injury (RTI) within Auckland, New Zealand's largest city. We analysed rates of RTI deaths and non-fatal hospital admissions using the New Zealand Mortality Collection and the National Minimum Data Set 2000-08. Poisson regression examined the association of age, gender, prioritised ethnicity and small area deprivation (New Zealand Index of Deprivation) with RTI rates, and RTI rates were mapped for 21 local board areas within the Auckland region. While RTI rates increased with levels of deprivation in all age groups, the gradient was steepest among children (9% increase/decile) and adults aged 25-64 years (11% increase/decile). In all age groups, RTI risk was highest among Māori. Pacific children had an elevated risk of RTI compared with the NZ European/Other group, but Pacific youth (15-24 years) and adults (25-64 years) had a lower risk. While RTI rates were generally higher for those living in rural local board areas, all but one local board in the southern Auckland urban area had among the highest rates. There are substantial ethnic, socioeconomic and geographic inequalities in RTI risk in the Auckland region, with high rates among Māori (all ages), Pacific children, people living in socioeconomically deprived neighbourhoods, the urban south and rural regions. To meet the vision of regional plans, road safety efforts must prioritise vulnerable communities at greatest risk of RTI, and implement and monitor the effectiveness of strategies that specifically include a focus on reducing inequalities in RTI rates. © 2013 The Authors. ANZJPH © 2013 Public Health Association of Australia.

Education policies and health inequalities: evidence from changes in the distribution of Body Mass Index in France, 1981-2003.

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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.

Gender Inequality since 1820

OpenAIRE

Carmichael, Sarah; Dilli, Selin; Rijpma, Auke

2014-01-01

Historically, gender inequalities in health status, socio-economic standing and political rights have been large. This chapter documents gender differences in life expectancy and birth rates (to cover health status); in average years of schooling, labour force participation, inheritance rights and marriage age (to cover socioeconomic status); and in parliamentary seats and suffrage (to cover political rights). A composite indicator shows strong progress in reducing gender inequality in the pa...

The importance of micro-structural approach and peace formations in dealing with socio-economic inequalities

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Džuverović Nemanja

2016-01-01

Full Text Available Increasingly, inequality is becoming one of the most important phenomena of our time. Recent protests (Spain, the UK, the U.S., violent confrontations (Brazil, Israel or even armed conflicts (India, Tunisia are a direct consequence of polarization, which has increased significantly since the 1980s when the global dominance of neoliberal model was established. So far, mainstream one-fit-all (socioeconomic solutions proved ineffective in tackling not only high levels of income inequality, but, more importantly, its multidimensional character visible in the prevalence of social exclusion (access to education, health, and social services, etc. which is seriously constraining human capital and creating conflict potential among the 'have-nots'. In this context, diversity should be considered as a strength, although this contradicts the universality principle imposed by the liberal state and the neoliberal model, often by applying pressure, isolation or violent force. This is why micro-structural approach must emphasize the importance of local peace formations which, depending on the context, could be dramatically different but still achieve similar results in reducing deep rooted inequalities which are predominantly socially conditioned. It's only by 'going local' that the roots of contemporary inequality can be fully understood and 'prevention' (Burton achieved.

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.

Development of a socioeconomic status index to interpret inequalities in oral health in developing countries.

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Ghorbani, Zahra; Ahmady, Arezoo Ebn; Lando, Harry A; Yazdani, Shahram; Amiri, Zohreh

2013-01-01

To develop an instrument to measure socioeconomic status (SES) in order to assess SES-related inequalities in oral health in a developing country. In order to develop a SES measurement tool, an expert panel generated a primary item pool from which the items were revised after validity and reliability testing. The final instrument was used in a 1100-sample survey in Tehran. SES was calculated using the weights produced by both principal component analysis (PCA) and expert panel two-stage paired comparisons (TSPC) methods. The final instrument contained 10 items. Standardised SES scores derived from TSPC and PCA methods were significantly correlated (r = 0.749, P oral health inequalities in the studied sample of the Iranian population. When formulating SES, domestic experts' opinions could help the researchers explore and weight sub-construct factors.

Time trends in socio-economic inequalities for women and men with disabilities in Australia: evidence of persisting inequalities.

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Kavanagh, Anne M; Krnjacki, Lauren; Beer, Andrew; Lamontagne, Anthony D; Bentley, Rebecca

2013-08-29

The socio-economic circumstances and health of people with disabilities has been relatively ignored in public health research, policy and practice in Australia and internationally. This is despite emerging evidence that the socio-economic circumstances that people with disabilities live in contributes to their poorer health. Compared to other developed countries, Australians with disabilities are more likely to live in disadvantaged circumstances, despite being an economically prosperous country; it is therefore likely that the socio-economic disadvantage experienced by Australians with disabilities makes a significant contribution to their health. Despite the importance of this issue Australia does not routinely monitor the socio-economic inequalities for people with disabilities. This paper addresses this gap by describing time trends in socio-economic conditions for Australians with and without disabilities according to the severity of the disability and sex. Cross-sectional analyses of the Australian Bureau of Statistics Survey of Disability, Ageing and Carers were carried out at three time points (1998, 2003 and 2009) to estimate the proportions of women and men (aged between 25 and 64 years) who were living on low incomes, had not completed year 12, were not in paid work, living in private rental and experiencing multiple disadvantage (three or more of the indicators). People with disabilities are less likely to have completed year 12, be in paid work and are more likely to be living on low incomes and experiencing multiple disadvantage. These conditions worsened with increasing severity of disability and increased or persisted over time, with most of the increase between 1998 and 2003. While women with milder disabilities tended to fare worse than men, the proportions were similar for those with moderate and severe/profound disabilities. People with disabilities experience high levels of socio-economic disadvantage which has increased or persisted over time

Global interpersonal inequality: Trends and measurement

DEFF Research Database (Denmark)

Niño-Zarazúa, Miguel; Roope, Laurence; Tarp, Finn

This paper discusses different approaches to the measurement of global interpersonal in equality. Trends in global interpersonal inequality during 1975-2005 are measured using data from UNU-WIDER’s World Income Inequality Database. In order to better understand the trends, global interpersonal...... inequality is decomposed into within-country and between-country inequality. The paper illustrates that the relationship between global interpersonal inequality and these constituent components is a complex one. In particular, we demonstrate that the changes in China’s and India’s income distributions over...... the past 30 years have simultaneously caused inequality to rise domestically in those countries, while tending to reduce global inter-personal inequality. In light of these findings, we reflect on the meaning and policy relevance of global vis-à-vis domestic inequality measures...

Global income related health inequalities

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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

Socioeconomic inequality of cancer mortality in the United States: a spatial data mining approach

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Lam Nina SN

2006-02-01

Full Text Available Abstract Background The objective of this study was to demonstrate the use of an association rule mining approach to discover associations between selected socioeconomic variables and the four most leading causes of cancer mortality in the United States. An association rule mining algorithm was applied to extract associations between the 1988–1992 cancer mortality rates for colorectal, lung, breast, and prostate cancers defined at the Health Service Area level and selected socioeconomic variables from the 1990 United States census. Geographic information system technology was used to integrate these data which were defined at different spatial resolutions, and to visualize and analyze the results from the association rule mining process. Results Health Service Areas with high rates of low education, high unemployment, and low paying jobs were found to associate with higher rates of cancer mortality. Conclusion Association rule mining with geographic information technology helps reveal the spatial patterns of socioeconomic inequality in cancer mortality in the United States and identify regions that need further attention.

Can policy ameliorate socioeconomic inequities in obesity and obesity-related behaviours? A systematic review of the impact of universal policies on adults and children.

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Olstad, D L; Teychenne, M; Minaker, L M; Taber, D R; Raine, K D; Nykiforuk, C I J; Ball, K

2016-12-01

This systematic review examined the impact of universal policies on socioeconomic inequities in obesity, dietary and physical activity behaviours among adults and children. PRISMA-Equity guidelines were followed. Database searches spanned from 2004 to August 2015. Eligible studies assessed the impact of universal policies on anthropometric, dietary or physical activity-related outcomes in adults or children according to socioeconomic position. Thirty-six studies were included. Policies were classified as agentic, agento-structural or structural, and their impact on inequities was rated as positive, neutral, negative or mixed according to the dominant associations observed. Most policies had neutral impacts on obesity-related inequities regardless of whether they were agentic (60% neutral), agento-structural (68% neutral) or structural (67% neutral). The proportion of positive impacts was similar across policy types (10% agentic, 18% agento-structural and 11% structural), with some differences for negative impacts (30% agentic, 14% agento-structural and 22% structural). The majority of associations remained neutral when stratified by participant population, implementation level and socioeconomic position measures and by anthropometric and behavioural outcomes. Fiscal measures had consistently neutral or positive impacts on inequities. Findings suggest an important role for policy in addressing obesity in an equitable manner and strengthen the case for implementing a broad complement of policies spanning the agency-structure continuum. © 2016 World Obesity Federation.

Socioeconomic inequalities in the impact of tobacco control policies on adolescent smoking. A multilevel study in 29 European countries

NARCIS (Netherlands)

Pförtner, Timo-Kolja; Hublet, Anne; Schnohr, Christina Warrer; Rathmann, Katharina; Moor, Irene; de Looze, Margaretha; Baška, Tibor; Molcho, Michal; Kannas, Lasse; Kunst, Anton E.; Richter, Matthias

2016-01-01

There are concerns that tobacco control policies may be less effective in reducing smoking among disadvantaged socioeconomic groups and thus may contribute to inequalities in adolescent smoking. This study examines how the association between tobacco control policies and smoking of 15-year-old boys

Socioeconomic and Racial/Ethnic Disparities in Cancer Mortality, Incidence, and Survival in the United States, 1950–2014: Over Six Decades of Changing Patterns and Widening Inequalities

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Gopal K. Singh

2017-01-01

Full Text Available We analyzed socioeconomic and racial/ethnic disparities in US mortality, incidence, and survival rates from all-cancers combined and major cancers from 1950 to 2014. Census-based deprivation indices were linked to national mortality and cancer data for area-based socioeconomic patterns in mortality, incidence, and survival. The National Longitudinal Mortality Study was used to analyze individual-level socioeconomic and racial/ethnic patterns in mortality. Rates, risk-ratios, least squares, log-linear, and Cox regression were used to examine trends and differentials. Socioeconomic patterns in all-cancer, lung, and colorectal cancer mortality changed dramatically over time. Individuals in more deprived areas or lower education and income groups had higher mortality and incidence rates than their more affluent counterparts, with excess risk being particularly marked for lung, colorectal, cervical, stomach, and liver cancer. Education and income inequalities in mortality from all-cancers, lung, prostate, and cervical cancer increased during 1979–2011. Socioeconomic inequalities in cancer mortality widened as mortality in lower socioeconomic groups/areas declined more slowly. Mortality was higher among Blacks and lower among Asian/Pacific Islanders and Hispanics than Whites. Cancer patient survival was significantly lower in more deprived neighborhoods and among most ethnic-minority groups. Cancer mortality and incidence disparities may reflect inequalities in smoking, obesity, physical inactivity, diet, alcohol use, screening, and treatment.

Life expectancy inequalities in the elderly by socioeconomic status: evidence from Italy.

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Lallo, Carlo; Raitano, Michele

2018-04-12

60 differs by five years between individuals with opposite socioeconomic statuses. Our study is the first that links results based on a micro survival analysis on subgroups of the elderly population with results related to the entire Italian population. The extreme differences in mortality risks by socioeconomic status found in our study confirm the existence of large health inequalities and strongly question the fairness of the Italian public pension system.

Rising U.S. income inequality and the changing gradient of socioeconomic status on physical functioning and activity limitations, 1984-2007.

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Zheng, Hui; George, Linda K

2012-12-01

This study examines the interactive contextual effect of income inequality on health. Specifically, we hypothesize that income inequality will moderate the relationships between individual-level risk factors and health. Using National Health Interview Survey data 1984-2007 (n = 607,959) and U.S. Census data, this paper estimates the effect of the dramatic increase in income inequality in the U.S. over the past two decades on the gradient of socioeconomic status on two measures of health (i.e., physical functioning and activity limitations). Results indicate that increasing income inequality strengthens the protective effects of family income, employment, college education, and marriage on these two measures of health. In contrast, high school education's protective effect (relative to less than a high school education) weakens in the context of increasing income inequality. In addition, we find that increasing income inequality exacerbates men's disadvantages in physical functioning and activity limitations. These findings shed light on research about growing health disparities in the U.S. in the last several decades. Copyright © 2012 Elsevier Ltd. All rights reserved.

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....

Gender obesity inequities are huge but differ greatly according to environment and socio-economics in a North African setting: a national cross-sectional study in Tunisia.

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El Ati, Jalila; Traissac, Pierre; Delpeuch, Francis; Aounallah-Skhiri, Hajer; Béji, Chiraz; Eymard-Duvernay, Sabrina; Bougatef, Souha; Kolsteren, Patrick; Maire, Bernard; Ben Romdhane, Habiba

2012-01-01

Southern Mediterranean countries have experienced a marked increase in the prevalence of obesity whose consequences for gender related health inequities have been little studied. We assessed gender obesity inequalities and their environmental and socio-economic modifiers among Tunisian adults. Cross-sectional survey in 2005; national, 3 level random cluster sample of 35-70 years Tunisians (women: n = 2964, men: n = 2379). Overall adiposity was assessed by BMI = weight(kg)/height(m)(2) and obesity was BMI≥30, WHtR = waist circumference to height ratio defined abdominal obesity as WHtR≥0.6. Gender obesity inequality measure was women versus men Prevalence Proportion Odds-Ratio (OR); models featuring gender x covariate interaction assessed variation of gender obesity inequalities with area (urban versus rural), age, marital status or socio-economic position (profession, education, household income proxy). BMI was much higher among women (28.4(0.2)) versus men (25.3(0.1)), PGender obesity inequalities (women versus men adjusted OR) were higher in urban (OR = 3.3[1.3-8.7]) than rural (OR = 2.0[0.7-5.5]) areas. These gender obesity inequalities were lower for subjects with secondary education or more (OR = 3.3[1.3-8.6]), than among those with no schooling (OR = 6.9[2.0-23.3]). They were also lower for those with upper/intermediate profession (OR = 1.4[0.5-4.3]) or even employees/workers OR = 2.3[1.0-5.4] than those not professionaly active at all (OR = 3.3[1.3-8.6]). Similar results were observed for addominal obesity. The huge overall gender obesity inequities (women much more corpulent than men) were higher in urban settings, but lower among subjects of higher education and professional activity. Reasons for gender inequalities in obesity and their variation with socio-economic position should be sought so that appropriate policies to reduce these inequalities can be implemented in Tunisia and similar settings.

Socioeconomic inequality in the use of rituximab therapy among non-Hodgkin lymphoma patients in Chinese public hospitals.

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Yu-Wen, Huang; Mei-Bian, Zhang; Xiang, Xu; Xiao-Hua, Xu; Quan, Zhou; Le, Jian

2014-03-01

Rituximab is a patient-paid effective monoclonal-antibody drug for non-Hodgkin lymphoma (NHL). Little is known in China, a country with unequal distribution of wealth and medical insurance systems, about the impact of socioeconomic status (SES) on selecting rituximab therapy in NHL patients. A total of 328 NHL inpatients in 2 public hospitals in Hangzhou were recruited and divided into 2 equal groups: with rituximab therapy and with no rituximab therapy group. Selection and frequency of rituximab therapy increased with duration of education and in urban citizens (P inequality in provision of rituximab therapy among Chinese NHL patients, and this was associated with differences in SES status. Effective measures are suggested to ameliorate the inequality issue.

Individual-level socioeconomic status and community-level inequality as determinants of stigma towards persons living with HIV who inject drugs in Thai Nguyen, Vietnam

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Lim, Travis; Zelaya, Carla; Latkin, Carl; Quan, Vu Minh; Frangakis, Constantine; Ha, Tran Viet; Minh, Nguyen Le; Go, Vivian

2013-01-01

Introduction HIV infection may be affected by multiple complex socioeconomic status (SES) factors, especially individual socioeconomic disadvantage and community-level inequality. At the same time, stigma towards HIV and marginalized groups has exacerbated persistent concentrated epidemics among key populations, such as persons who inject drugs (PWID) in Vietnam. Stigma researchers argue that stigma fundamentally depends on the existence of economic power differences in a community. In rapidly growing economies like Vietnam, the increasing gap in income and education levels, as well as an individual's absolute income and education, may create social conditions that facilitate stigma related to injecting drug use and HIV. Methods A cross-sectional baseline survey assessing different types of stigma and key socioeconomic characteristics was administered to 1674 PWID and 1349 community members living in physical proximity throughout the 32 communes in Thai Nguyen province, Vietnam. We created four stigma scales, including HIV-related and drug-related stigma reported by both PWID and community members. We then used ecologic Spearman's correlation, ordinary least-squares regression and multi-level generalized estimating equations to examine community-level inequality associations, individual-level SES associations and multi-level SES associations with different types of stigma, respectively. Results There was little urban–rural difference in stigma among communes. Higher income inequality was marginally associated with drug-related stigma reported by community members (p=0.087), and higher education inequality was significantly associated with higher HIV-related stigma reported by both PWID and community members (pstigma (HIV and drug related) reported by both PWID and community members. Part-time employed PWID reported more experiences and perceptions of drug-related stigma, while conversely unemployed community members reported enacting lower drug-related stigma

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

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

Individual-level socioeconomic status and community-level inequality as determinants of stigma towards persons living with HIV who inject drugs in Thai Nguyen, Vietnam.

Science.gov (United States)

Lim, Travis; Zelaya, Carla; Latkin, Carl; Quan, Vu Minh; Frangakis, Constantine; Ha, Tran Viet; Minh, Nguyen Le; Go, Vivian

2013-11-13

HIV infection may be affected by multiple complex socioeconomic status (SES) factors, especially individual socioeconomic disadvantage and community-level inequality. At the same time, stigma towards HIV and marginalized groups has exacerbated persistent concentrated epidemics among key populations, such as persons who inject drugs (PWID) in Vietnam. Stigma researchers argue that stigma fundamentally depends on the existence of economic power differences in a community. In rapidly growing economies like Vietnam, the increasing gap in income and education levels, as well as an individual's absolute income and education, may create social conditions that facilitate stigma related to injecting drug use and HIV. A cross-sectional baseline survey assessing different types of stigma and key socioeconomic characteristics was administered to 1674 PWID and 1349 community members living in physical proximity throughout the 32 communes in Thai Nguyen province, Vietnam. We created four stigma scales, including HIV-related and drug-related stigma reported by both PWID and community members. We then used ecologic Spearman's correlation, ordinary least-squares regression and multi-level generalized estimating equations to examine community-level inequality associations, individual-level SES associations and multi-level SES associations with different types of stigma, respectively. There was little urban-rural difference in stigma among communes. Higher income inequality was marginally associated with drug-related stigma reported by community members (p=0.087), and higher education inequality was significantly associated with higher HIV-related stigma reported by both PWID and community members (pinequality and HIV-related stigma is superseded by the effect of individual-level education. The results of the study confirm that socioeconomic factors at both the individual level and community level affect different types of stigma in different ways. Attention should be paid to these

Trends in socioeconomic inequalities in self-rated health, smoking, and physical activity of Japanese adults from 2000 to 2010

Directory of Open Access Journals (Sweden)

Tomoya Hanibuchi

2016-12-01

Full Text Available Health disparities in Japan are attracting increasing attention. Temporal trends in health disparities should be continuously monitored using multiple indices of socioeconomic status (SES and health-related outcomes. We explored changes in socioeconomic differences in the health of Japanese adults during 2000–2010. The data was taken from the Japanese General Social Surveys, the cross-sectional surveys for nationally representative samples of Japanese adults. We used 14,193 samples (individuals of 20–64 years of age in our analysis. We estimated age-adjusted prevalence ratios of the lowest SES group in comparison with the highest SES group using Poisson regression models with robust error variance. Relative index of inequality (RII and slope index of inequality (SII were also calculated. We examined the changes in the association between health-related outcomes (self-rated health (SRH, smoking, and physical activity and SES indices (income, education, occupation, and subjective social class identification. The results showed temporally expanding trends for the associations of current smoking with SES, especially among women, in both relative and absolute measures. In contrast, no expanding trends were seen for SRH and physical activity. Although the smoking rates declined through the first decade of the 21st century, the socioeconomic disparities in smoking prevalence among Japanese adults expanded, especially among women. Researchers and policymakers should continuously monitor the trends that may cause future disparities in smoking-related morbidity and mortality. Keywords: Japan, Socioeconomic disparity, Temporal trends, Smoking, Self-rated health

The potential impact of a social redistribution of specific risk factors on socioeconomic inequalities in mortality: illustration of a method based on population attributable fractions.

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Hoffmann, Rasmus; Eikemo, Terje Andreas; Kulhánová, Ivana; Dahl, Espen; Deboosere, Patrick; Dzúrová, Dagmar; van Oyen, Herman; Rychtaríková, Jitka; Strand, Bjørn Heine; Mackenbach, Johan P

2013-01-01

Socioeconomic differences in health are a major challenge for public health. However, realistic estimates to what extent they are modifiable are scarce. This problem can be met through the systematic application of the population attributable fraction (PAF) to socioeconomic health inequalities. The authors used cause-specific mortality data by educational level from Belgium, Norway and Czech Republic and data on the prevalence of smoking, alcohol, lack of physical activity and high body mass index from national health surveys. Information on the impact of these risk factors on mortality comes from the epidemiological literature. The authors calculated PAFs to quantify the impact on socioeconomic health inequalities of a social redistribution of risk factors. The authors developed an Excel tool covering a wide range of possible scenarios and the authors compare the results of the PAF approach with a conventional regression. In a scenario where the whole population gets the risk factor prevalence currently seen among the highly educated inequalities in mortality can be reduced substantially. According to the illustrative results, the reduction of inequality for all risk factors combined varies between 26% among Czech men and 94% among Norwegian men. Smoking has the highest impact for both genders, and physical activity has more impact among women. After discussing the underlying assumptions of the PAF, the authors concluded that the approach is promising for estimating the extent to which health inequalities can be potentially reduced by interventions on specific risk factors. This reduction is likely to differ substantially between countries, risk factors and genders.

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

The role of communication inequality in mediating the impacts of socioecological and socioeconomic disparities on HIV/AIDS knowledge and risk perception.

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Bekalu, Mesfin Awoke; Eggermont, Steven

2014-02-10

Although the link between social factors and health-related outcomes has long been widely acknowledged, the mechanisms characterizing this link are relatively less known and remain a subject of continued investigation across disciplines. In this study, drawing on the structural influence model of health communication, the hypothesis that differences in concern about and information needs on HIV/AIDS, HIV/AIDS-related media use, and perceived salience of HIV/AIDS-related information, characterized as communication inequality, can at least partially mediate the impacts of socioecological (urban vs. rural) and socioeconomic (education) disparities on inequalities in HIV/AIDS knowledge and risk perception was tested. Data were collected from a random sample of 986 urban and rural respondents in northwest Ethiopia. Structural equation modeling, using the maximum likelihood method, was used to test the mediation models. The models showed an adequate fit of the data and hence supported the hypothesis that communication inequality can at least partially explain the causal mechanism linking socioeconomic and socioecological factors with HIV/AIDS knowledge and risk perception. Both urbanity versus rurality and education were found to have significant mediated effects on HIV/AIDS knowledge (urbanity vs. rurality: β = 0.28, p = .001; education: β = 0.08, p = .001) and HIV/AIDS risk perception (urbanity vs. rurality: β = 0.30, p = .001; education: β = 0.09, p = .001). It was concluded that communication inequality might form part of the socioecologically and socioeconomically embedded processes that affect HIV/AIDS-related outcomes. The findings suggest that the media and message effects that are related to HIV/AIDS behavior change communication can be viewed from a structural perspective that moves beyond the more reductionist behavioral approaches upon which most present-day HIV/AIDS communication campaigns seem to be based.

Income Inequality Decomposition, Russia 1992-2002: Method and Application

Directory of Open Access Journals (Sweden)

Wim Jansen

2013-11-01

Full Text Available Decomposition methods for income inequality measures, such as the Gini index and the members of the Generalised Entropy family, are widely applied. Most methods decompose income inequality into a between (explained and a within (unexplained part, according to two or more population subgroups or income sources. In this article, we use a regression analysis for a lognormal distribution of personal income, modelling both the mean and the variance, decomposing the variance as a measure of income inequality, and apply the method to survey data from Russia spanning the first decade of market transition (1992-2002. For the first years of the transition, only a small part of the income inequality could be explained. Thereafter, between 1996 and 1999, a larger part (up to 40% could be explained, and ‘winner’ and ‘loser’ categories of the transition could be spotted. Moving to the upper end of the income distribution, the self-employed won from the transition. The unemployed were among the losers.

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.

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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.

Income inequality, poverty and socioeconomic development in Bangladesh: an empirical investigation.

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Islam, I; Khan, H

1986-06-01

By analyzing the data for 1963-1964 through 1976-1977, this paper studies the pattern of income distribution and poverty in Bangladesh, and it also compares the socioeconomic status of the country in the mid-1970s with other developing countries of Asia, Africa, and Latin America. There has been a drastic increase in inequality and poverty in recent years, and this disturbing finding is reinforced by the fact that Bangladesh occupies the lowest position in the Third World in terms of a composite social index. The very poor within the poverty population suffered most, and the increase in the extent of poverty was most noticeable in the rural sector. The broad policy recommendation is that relatively more attention should be given to the social sectors white allocating resources for the country's future development.

Industrialization and inequality revisited

DEFF Research Database (Denmark)

Molitoris, Joseph; Dribe, Martin

2016-01-01

This work combines economic and demographic data to examine inequality of living standards in Stockholm at the turn of the twentieth century. Using a longitudinal population register with occupational information, we utilize event-history models to show that despite absolute decreases in mortality......, relative differences between socioeconomic groups remained virtually constant. The results also show that child mortality continued to be sensitive to short-term fluctuations in wages and that there were no socioeconomic differences in this response. We argue that the persistent inequality in living...

Socioeconomic inequality in oral health behavior in Iranian children and adolescents by the Oaxaca-Blinder decomposition method: the CASPIAN- IV study.

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Safiri, Saeid; Kelishadi, Roya; Heshmat, Ramin; Rahimi, Ali; Djalalinia, Shirin; Ghasemian, Anoosheh; Sheidaei, Ali; Motlagh, Mohammad Esmaeil; Ardalan, Gelayol; Mansourian, Morteza; Asayesh, Hamid; Sepidarkish, Mahdi; Qorbani, Mostafa

2016-09-14

The present study set to describe the socioeconomic inequality associated with oral hygiene behavior among Iranian pediatric population. A representative sample of 13486 school students aged 6-18 years was selected through multistage random cluster sampling method from urban and rural areas of 30 provinces in Iran. Principle Component Analyses (PCA) correlated variables summarized as socioeconomic status (SES). Association of independent variables with tooth brushing was assessed through logistic regression analysis. Decomposition of the gap in tooth brushing between the first and fifth SES quintiles was assessed using the counterfactual decomposition technique. To assess the relation between tooth brushing and each socioeconomic category, Concentration Index (C) and the slope index of inequality (SII) were used, representing the linear regression coefficient. The participation rate was 90.6 % (50.7 % boys and 75.6 % urban inhabitants). The mean age of participants was 12.47 ± 3.36 years. The frequency of tooth brushing increased across SES quintiles, prevalence of tooth brushing between the first and fifth quintile, under 20 % difference, increased from 58.22 (95 % CI: 56.24,60.20) to 78.61 (95 % CI: 77.00,80.24). Only 3 % of the difference is explained by the factors considered in the study, and 17 % remained unknown. Residence area, family size, and smoking status made a significant contribution to the gap between the first and last SE groups. Residence area [ -2.01 (95 % CI: -3.46, -0.55)] was along the maximum levels of gaps between SE categories. The findings revealed a socio-economic inequality in oral health behavior in Iranian children and adolescents. Also, factors influencing oral health are addressed to develop and implement complementary public health actions.

Impact of Socioeconomic Inequality on Access, Adherence, and Outcomes of Antiretroviral Treatment Services for People Living with HIV/AIDS in Vietnam.

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Tran, Bach Xuan; Hwang, Jongnam; Nguyen, Long Hoang; Nguyen, Anh Tuan; Latkin, Noah Reed Knowlton; Tran, Ngoc Kim; Minh Thuc, Vu Thi; Nguyen, Huong Lan Thi; Phan, Huong Thu Thi; Le, Huong Thi; Tran, Tho Dinh; Latkin, Carl A

2016-01-01

Ensuring an equal benefit across different patient groups is necessary while scaling up free-of-charge antiretroviral treatment (ART) services. This study aimed to measure the disparity in access, adherence, and outcomes of ART in Vietnam and the effects of socioeconomic status (SES) characteristics on the levels of inequality. A cross-sectional study was conducted in 1133 PLWH in Vietnam. ART access, adherence, and treatment outcomes were self-reported using a structured questionnaire. Wealth-related inequality was calculated using a concentration index, and a decomposition analysis was used to determine the contribution of each SES variable to inequality in access, adherence, and outcomes of ART. Based on SES, minor inequality was found in ART access and adherence while there was considerable inequality in ART outcomes. Poor people were more likely to start treatment early, while rich people had better adherence and overall treatment outcomes. Decomposition revealed that occupation and education played important roles in inequality in ART access, adherence, and treatment outcomes. The findings suggested that health services should be integrated into the ART regimen. Furthermore, occupational orientation and training courses should be provided to reduce inequality in ART access, adherence, and treatment outcomes.

Income Inequality and Gender in New Zealand, 1998-2003

OpenAIRE

Papps, Kerry L.

2004-01-01

A number of authors have documented an increase in earnings or income inequality in New Zealand during the late 1980s and early 1990s, a period of major economic reform, however no study has evaluated changes in inequality during the post-reform era. This paper applies a recently-developed method for decomposing changes in inequality to New Zealand income and earnings data and extends it to analyse changes in inequality between men and women. Across the total working-age population, income in...

Inequality in access to health care in Cambodia: socioeconomically disadvantaged women giving birth at home assisted by unskilled birth attendants.

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Hong, Rathavuth; Them, Rathnita

2015-03-01

Cambodia faces major challenges in its effort to provide access to health care for all. Although there is a sharp improvement in health and health care in Cambodia, 6 in 10 women still deliver at home assisted by unskilled birth attendants. This practice is associated with higher maternal and infant deaths. This article analyzes the 2005 Cambodia Demographic and Health Survey data to examine the relationship between socioeconomic inequality and deliveries at home assisted by unskilled birth attendants. It is evident that babies in poorer households are significantly more likely to be delivered at home by an unskilled birth attendant than those in wealthier households. Moreover, delivery at home by an unskilled attendant is associated with mothers who have no education, live in a rural residence, and are farmers, and with higher birth order children. Results from this analysis demonstrate that socioeconomic inequality is still a major factor contributing to ill health in Cambodia. © 2011 APJPH.

Influence of maternal and child lifestyle-related characteristics on the socioeconomic inequality in overweight and obesity among 5-year-old children; the "Be active, eat right" study

NARCIS (Netherlands)

L. Veldhuis (Lydian); I. Vogel (Ineke); L. van Rossem (Lenie); C.M. Renders (Carry); R.A. Hirasing (Remy); J.P. Mackenbach (Johan); H. Raat (Hein)

2013-01-01

textabstractIt is unclear whether the socioeconomic inequality in prevalence of overweight and obesity is already present among very young children. This study investigates the association between overweight and socioeconomic status (SES, with maternal educational level as an indicator of SES) among

Influence of maternal and child lifestyle-related characteristics on the socioeconomic inequality in overweight and obesity among 5-year-old children; the "Be Active, Eat Right" Study.

NARCIS (Netherlands)

L. Veldhuis (Lydian); I. Vogel (Ineke); L. van Rossem (Lenie); C.M. Renders (Carry); R.A. Hirasing (Remy); J.P. Mackenbach (Johan); H. Raat (Hein)

2013-01-01

textabstractIt is unclear whether the socioeconomic inequality in prevalence of overweight and obesity is already present among very young children. This study investigates the association between overweight and socioeconomic status (SES, with maternal educational level as an indicator of SES) among

Influence of Maternal and Child Lifestyle-Related Characteristics on the Socioeconomic Inequality in Overweight and Obesity among 5-year-old Children; The "Be Active, Eat Right" Study

NARCIS (Netherlands)

Veldhuis, L.; Vogel, I.; van Rossem, L.; Renders, C.M.; Hirasing, R.A.; Mackenbach, J.P.; Raat, H.

2013-01-01

It is unclear whether the socioeconomic inequality in prevalence of overweight and obesity is already present among very young children. This study investigates the association between overweight and socioeconomic status (SES, with maternal educational level as an indicator of SES) among 5-year-old

Economic Inequality in Presenting Vision in Shahroud, Iran: Two Decomposition Methods.

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Mansouri, Asieh; Emamian, Mohammad Hassan; Zeraati, Hojjat; Hashemi, Hasan; Fotouhi, Akbar

2017-04-22

Visual acuity, like many other health-related problems, does not have an equal distribution in terms of socio-economic factors. We conducted this study to estimate and decompose economic inequality in presenting visual acuity using two methods and to compare their results in a population aged 40-64 years in Shahroud, Iran. The data of 5188 participants in the first phase of the Shahroud Cohort Eye Study, performed in 2009, were used for this study. Our outcome variable was presenting vision acuity (PVA) that was measured using LogMAR (logarithm of the minimum angle of resolution). The living standard variable used for estimation of inequality was the economic status and was constructed by principal component analysis on home assets. Inequality indices were concentration index and the gap between low and high economic groups. We decomposed these indices by the concentration index and BlinderOaxaca decomposition approaches respectively and compared the results. The concentration index of PVA was -0.245 (95% CI: -0.278, -0.212). The PVA gap between groups with a high and low economic status was 0.0705 and was in favor of the high economic group. Education, economic status, and age were the most important contributors of inequality in both concentration index and Blinder-Oaxaca decomposition. Percent contribution of these three factors in the concentration index and Blinder-Oaxaca decomposition was 41.1% vs. 43.4%, 25.4% vs. 19.1% and 15.2% vs. 16.2%, respectively. Other factors including gender, marital status, employment status and diabetes had minor contributions. This study showed that individuals with poorer visual acuity were more concentrated among people with a lower economic status. The main contributors of this inequality were similar in concentration index and Blinder-Oaxaca decomposition. So, it can be concluded that setting appropriate interventions to promote the literacy and income level in people with low economic status, formulating policies to address

Socioeconomic inequality of overweight and obesity of the elderly in Iran: Bushehr Elderly Health (BEH) Program.

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Raeisi, Alireza; Mehboudi, Mohammadbagher; Darabi, Hossein; Nabipour, Iraj; Larijani, Bagher; Mehrdad, Neda; Heshmat, Ramin; Shafiee, Gita; Sharifi, Farshad; Ostovar, Afshin

2017-01-13

The objective of this population-based, large sample size study was to investigate the socioeconomic inequality of overweight and obesity among the elderly in Iran. Baseline data of 3000 persons aged ≥60 years who participated in the Bushehr Elderly Health (BEH) program was analyzed. Overweight and obesity were defined as a body mass index (BMI) equal to or higher than 25 and 30, respectively. Socioeconomic status (SES) was measured by an asset index, constructed using principal component analysis, income, education level, and employment status. The Concentration Index and the Lorenz curve were used to illustrate the levels of inequality for overweight and obesity by gender. The frequencies among men and women were, respectively, 840 (57.7%) and 1131 (73.2%), P < 0.001, for overweight, and 211 (14.7%) and 511 (33.7%), P < 0.001, for obesity. There were direct associations between asset index quintiles and both overweight and obesity among both genders (Ps for trend <0.01) except for obesity among men (P for trend = 0.118). The overall Concentration Indices for overweight and obesity were 0.031 (95%CI = 0.016-0.046, P < 0.001) and 0.041 (95%CI = 0.004-0.078, p = 0.028), respectively. Findings support the direct relationship between SES and obesity among women as previously reported in developing countries.

Exhibition of Monogamy Relations between Entropic Non-contextuality Inequalities

International Nuclear Information System (INIS)

Zhu Feng; Zhang Wei; Huang Yi-Dong

2017-01-01

We exhibit the monogamy relation between two entropic non-contextuality inequalities in the scenario where compatible projectors are orthogonal. We show the monogamy relation can be exhibited by decomposing the orthogonality graph into perfect induced subgraphs. Then we find two entropic non-contextuality inequalities are monogamous while the KCBS-type non-contextuality inequalities are not if the orthogonality graphs of the observable sets are two odd cycles with two shared vertices. (paper)

Changes in Socioeconomic Inequality of Low Birth Weight and Macrosomia in Shaanxi Province of Northwest China, 2010-2013: A Cross-sectional Study.

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Pei, Leilei; Kang, Yijun; Zhao, Yaling; Cheng, Yue; Yan, Hong

2016-02-01

Socioeconomic disparities in birth weights (BWs) are associated with lifelong differences in health and productivity. Understanding socioeconomic disparities in BW is presently of concern to develop public health interventions that promote a good start in life in Northwest China. In the study, our objective is to investigate the socioeconomic disparities in low and high BW from 2010 to 2013 in this region.Those single live births were recruited using a stratified multistage sampling method in Shaanxi province from August to December 2013. Data were collected with a structured questionnaire and a review of birth certificates. Socioeconomic status (SES) was stratified based on the calculated household wealth index. Prevalence differences (PDs) and concentration indices (CIs) were used to depict the SES inequality of low BW (LBW) and macrosomia.Information for 28722 single live births born were obtained in Shaanxi province. From 2010 to 2013, the overall rates of LBW decreased, and the difference in LBW across differing SES groups decreased by 0.7% (boys, 0.4%; girls, 0.8%). From 2010 to 2013, the overall rates of macrosomia increased by 14.3% (boys, 17.5%; girls, 7.8%), whereas the PDs in macrosomia across various SES groups remained unchanged. From 2010 to 2013, concentration indices for SES inequalities in LBW and macrosomia confirmed the results shown by differences in prevalence. Compared with mothers of high SES, those in low SES group were significantly older, less educated, engaged in farming with less availabile healthcare, and engaged in unhealthy lifestyles (eg, exposure to secondhand smoke) during pregnancy, regardless of the baby's sex.From 2010 to 2013, in Shaanxi province, the negative association between socioeconomic status and LBW weakened. Rates of macrosomia were higher in those of high SES, but the SES disparities varied insignificantly over the same time. Our findings may provide valuable insights to direct healthcare policies for pregnant women

Socioeconomic inequalities in physical and mental functioning of British, Finnish, and Japanese civil servants: role of job demand, control, and work hours.

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Sekine, Michikazu; Chandola, Tarani; Martikainen, Pekka; Marmot, Michael; Kagamimori, Sadanobu

2009-11-01

This study aims to evaluate whether the pattern of socioeconomic inequalities in physical and mental functioning as measured by the Short Form 36 (SF-36) differs among employees in Britain, Finland, and Japan and whether work characteristics contribute to some of the health inequalities. The participants were 7340 (5122 men and 2218 women) British employees, 2297 (1638 men and 659 women) Japanese employees, and 8164 (1649 men and 6515 women) Finnish employees. All the participants were civil servants aged 40-60 years. Both male and female low grade employees had poor physical functioning in all cohorts. British and Japanese male low grade employees tended to have poor mental functioning but the associations were significant only for Japanese men. No consistent employment-grade differences in mental functioning were observed among British and Japanese women. Among Finnish men and women, high grade employees had poor mental functioning. In all cohorts, high grade employees had high control, high demands and long work hours. The grade differences in poor physical functioning and disadvantaged work characteristics among non-manual workers were somewhat smaller in the Finnish cohort than in the British and Japanese cohorts. Low control, high demands, and both short and long work hours were associated with poor functioning. When work characteristics were adjusted for, the socioeconomic differences in poor functioning were mildly attenuated in men, but the differences increased slightly in women. This study reconfirms the generally observed pattern of socioeconomic inequalities in health for physical functioning but not for mental functioning. The role of work characteristics in the relationship between socioeconomic status and health differed between men and women but was modest overall. We suggest that these differences in the pattern and magnitude of grade differences in work characteristics and health among the 3 cohorts may be attributable to the different welfare

Socioeconomic Inequalities in Green Space Quality and Accessibility-Evidence from a Southern European City.

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Hoffimann, Elaine; Barros, Henrique; Ribeiro, Ana Isabel

2017-08-15

Background : The provision of green spaces is an important health promotion strategy to encourage physical activity and to improve population health. Green space provision has to be based on the principle of equity. This study investigated the presence of socioeconomic inequalities in geographic accessibility and quality of green spaces across Porto neighbourhoods (Portugal). Methods : Accessibility was evaluated using a Geographic Information System and all the green spaces were audited using the Public Open Space Tool. Kendall's tau-b correlation coefficients and ordinal regression were used to test whether socioeconomic differences in green space quality and accessibility were statistically significant. Results : Although the majority of the neighbourhoods had an accessible green space, mean distance to green space increased with neighbourhood deprivation. Additionally, green spaces in the more deprived neighbourhoods presented significantly more safety concerns, signs of damage, lack of equipment to engage in active leisure activities, and had significantly less amenities such as seating, toilets, cafés, etc. Conclusions : Residents from low socioeconomic positions seem to suffer from a double jeopardy; they lack both individual and community resources. Our results have important planning implications and might contribute to understanding why deprived communities have lower physical activity levels and poorer health.

Socioeconomic inequalities of outpatient and inpatient service utilization in China: personal and regional perspectives.

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Zhu, Dawei; Guo, Na; Wang, Jian; Nicholas, Stephen; Chen, Li

2017-12-04

China's health system has shown remarkable progress in health provision and health outcomes in recent decades, however inequality in health care utilization persists and poses a serious social problem. While government pro-poor health policies addressed affordability as the major obstacle to equality in health care access, this policy direction deserves further examination. Our study examines the issue of health care inequalities in China, analyzing both regional and individual socioeconomic factors associated with the inequality, and provides evidence to improve governmental health policies. The China Health and Nutrition Survey (CHNS) 1991-2011 data were used to analyze the inequality of health care utilization. The random effects logistic regression technique was used to model health care utilization as the dependent variable, and income and regional location as the independent variables, controlling for individuals' age, gender, marital status, education, health insurance, body mass index (BMI), and period variations. The dynamic trend of 1991-2011 regional disparities was estimated using an interaction term between the regional group dummy and the wave dummy. The probability of using outpatient service and inpatient services during the previous 4 weeks was 8.6 and 1.1% respectively. Compared to urban residents, suburban (OR: 0.802, 95% CI: 0.720-0.893), town (OR: 0.722, 95% CI: 0.648-0.804), rich (OR: 0.728, 95% CI: 0.656-0.807) and poor village (OR: 0.778, 95% CI: 0.698-0.868) residents were less likely to use outpatient service; and rich (OR: 0.609, 95% CI: 0.472-0.785) and poor village (OR: 0.752, 95% CI: 0. 576-0.983) residents were less likely to use inpatient health care. But the differences between income groups were not significant, except the differences between top and bottom income group in outpatient service use. Regional location was a more important factor than individual characteristics in determining access to health care. Besides demand

Time 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

Background: Scandinavian welfare states, despite having better population oral health when compared to less egalitarian societies, are characterized by ubiquitous social gradients and large relative socioeconomic inequalities in oral health. However, time trends in these inequalities among...... at Statistics Denmark. SEP measures included previous year’s parental education (highest attained educational level between the parents), income (equivalized household disposable income), and occupational social class (highest recorded occupational class between the parents). Covariates were immigration status......, country of origin, number of children and persons in the family, and household type. The outcome was dental caries experience, determined by the decayed, missing, and filled surfaces (DMFS) index. Negative binomial regression models were used to examine the association between DMFS count and each...

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

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

Reported consumption of takeaway food and its contribution to socioeconomic inequalities in body mass index.

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Miura, Kyoko; Turrell, Gavin

2014-03-01

The aim of this study was to examine whether takeaway food consumption mediated (explained) the association between socioeconomic position and body mass index (BMI). A postal-survey was conducted among 1500 randomly selected adults aged between 25 and 64years in Brisbane, Australia during 2009 (response rate 63.7%, N=903). BMI was calculated using self-reported weight and height. Participants reported usual takeaway food consumption, and these takeaway items were categorised into "healthy" and "less healthy" choices. Socioeconomic position was ascertained by education, household income, and occupation. The mean BMI was 27.1kg/m(2) for men and 25.7kg/m(2) for women. Among men, none of the socioeconomic measures were associated with BMI. In contrast, women with diploma/vocational education (β=2.12) and high school only (β=2.60), and those who were white-collar (β=1.55) and blue-collar employees (β=2.83) had significantly greater BMI compared with their more advantaged counterparts. However, household income was not associated with BMI. Among women, the consumption of "less healthy" takeaway food mediated BMI differences between the least and most educated, and between those employed in blue collar occupations and their higher status counterparts. Decreasing the consumption of "less healthy" takeaway options may reduce socioeconomic inequalities in overweight and obesity among women but not men. Copyright © 2013 Elsevier Ltd. All rights reserved.

Socioeconomic Inequalities in the Oral Health of People Aged 15-40 Years in Kurdistan, Iran in 2015: A Cross-sectional Study

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Ghobad Moradi

2017-09-01

Full Text Available Objectives The aim of this study was to evaluate socioeconomic inequalities in the prevalence of dental caries among an urban population. Methods This study was conducted among 2000 people 15-40 years of age living in Kurdistan, Iran in 2015. Using a questionnaire, data were collected by 4 trained dental students. The dependent variable was the decayed, missing, and filled teeth (DMF index. Using principal component analysis, the socioeconomic status (SES of families was determined based on their household assets. Inequality was measured using the concentration index; in addition, the Oaxaca analytical method was used to determine the contribution of various determinants to the observed inequality. Results The concentration index for poor scores on the DMF index was -0.32 (95% confidence interval [CI], -0.40 to -0.36; thus, poor DMF indices had a greater concentration in groups with a low SES (p<0.001. Decomposition analysis showed that the mean prevalence of a poor DMF index was 43.7% (95% CI, 40.4 to 46.9% in the least privileged group and 14.4% (95% CI, 9.5 to 9.2% in the most privileged group. It was found that 85.8% of the gap observed between these groups was due to differences in sex, parents’ education, and the district of residence. A poor DMF index was less prevalent among people with higher SES than among those with lower SES (odds ratio, 0.31; 95% CI, 0.19 to 0.52. Conclusions An alarming degree of SES inequality in oral health status was found in the studied community. Hence, it is suggested that inequalities in oral health status be reduced via adopting appropriate policies such as the delivery of oral health services to poorer groups and covering such services in insurance programs.

Socioeconomic Inequalities in the Oral Health of People Aged 15-40 Years in Kurdistan, Iran in 2015: A Cross-sectional Study.

Science.gov (United States)

Moradi, Ghobad; Moinafshar, Ardavan; Adabi, Hemen; Sharafi, Mona; Mostafavi, Farideh; Bolbanabad, Amjad Mohamadi

2017-09-01

The aim of this study was to evaluate socioeconomic inequalities in the prevalence of dental caries among an urban population. This study was conducted among 2000 people 15-40 years of age living in Kurdistan, Iran in 2015. Using a questionnaire, data were collected by 4 trained dental students. The dependent variable was the decayed, missing, and filled teeth (DMF) index. Using principal component analysis, the socioeconomic status (SES) of families was determined based on their household assets. Inequality was measured using the concentration index; in addition, the Oaxaca analytical method was used to determine the contribution of various determinants to the observed inequality. The concentration index for poor scores on the DMF index was -0.32 (95% confidence interval [CI], -0.40 to -0.36); thus, poor DMF indices had a greater concentration in groups with a low SES (p<0.001). Decomposition analysis showed that the mean prevalence of a poor DMF index was 43.7% (95% CI, 40.4 to 46.9%) in the least privileged group and 14.4% (95% CI, 9.5 to 9.2%) in the most privileged group. It was found that 85.8% of the gap observed between these groups was due to differences in sex, parents' education, and the district of residence. A poor DMF index was less prevalent among people with higher SES than among those with lower SES (odds ratio, 0.31; 95% CI, 0.19 to 0.52). An alarming degree of SES inequality in oral health status was found in the studied community. Hence, it is suggested that inequalities in oral health status be reduced via adopting appropriate policies such as the delivery of oral health services to poorer groups and covering such services in insurance programs.

SOCIOECONOMIC DEVELOPMENT INEQUALITIES AMONG ...

African Journals Online (AJOL)

Osondu

and patterns in the socio-economic development in the study area.The pattern ... Department of Urban and Regional Planning ... perspective of network density of paved road ... available and a number of cooperative .... The case of Akwa Ibom.

Socioeconomic position and participation in baseline and follow-up visits

DEFF Research Database (Denmark)

Bender, Anne M; Jørgensen, Torben; Hansen, Bodil Helbech

2012-01-01

Background:The aim of this paper was to identify the extent of socioeconomic inequality in participation at baseline and follow-up visits.Design:The Inter99 study is a randomized intervention with the aim of investigating the effects of an individualized lifestyle consultation on ischaemic heart ...... inequality in participation at baseline and follow-up visits. Effort should be made to increase participation in individualized lifestyle interventions among persons of low socioeconomic position. Otherwise, the consequence may be increased socioeconomic inequality in IHD....

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.

Gender obesity inequities are huge but differ greatly according to environment and socio-economics in a North African setting: a national cross-sectional study in Tunisia.

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Jalila El Ati

Full Text Available INTRODUCTION: Southern Mediterranean countries have experienced a marked increase in the prevalence of obesity whose consequences for gender related health inequities have been little studied. We assessed gender obesity inequalities and their environmental and socio-economic modifiers among Tunisian adults. METHODS: Cross-sectional survey in 2005; national, 3 level random cluster sample of 35-70 years Tunisians (women: n = 2964, men: n = 2379. Overall adiposity was assessed by BMI = weight(kg/height(m(2 and obesity was BMI≥30, WHtR = waist circumference to height ratio defined abdominal obesity as WHtR≥0.6. Gender obesity inequality measure was women versus men Prevalence Proportion Odds-Ratio (OR; models featuring gender x covariate interaction assessed variation of gender obesity inequalities with area (urban versus rural, age, marital status or socio-economic position (profession, education, household income proxy. RESULTS: BMI was much higher among women (28.4(0.2 versus men (25.3(0.1, P<0.0001 as was obesity (37.0% versus 13.3%, OR = 3.8[3.1-7.4], P<0.0001 and abdominal obesity (42.6% versus 15.6%, 4.0[3.3-4.8], P<0.0001. Gender obesity inequalities (women versus men adjusted OR were higher in urban (OR = 3.3[1.3-8.7] than rural (OR = 2.0[0.7-5.5] areas. These gender obesity inequalities were lower for subjects with secondary education or more (OR = 3.3[1.3-8.6], than among those with no schooling (OR = 6.9[2.0-23.3]. They were also lower for those with upper/intermediate profession (OR = 1.4[0.5-4.3] or even employees/workers OR = 2.3[1.0-5.4] than those not professionaly active at all (OR = 3.3[1.3-8.6]. Similar results were observed for addominal obesity. CONCLUSION: The huge overall gender obesity inequities (women much more corpulent than men were higher in urban settings, but lower among subjects of higher education and professional activity. Reasons for gender inequalities in

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...

Socioeconomic inequality of overweight and obesity of the elderly in Iran: Bushehr Elderly Health (BEH Program

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Alireza Raeisi

2017-01-01

Full Text Available Abstract Background The objective of this population-based, large sample size study was to investigate the socioeconomic inequality of overweight and obesity among the elderly in Iran. Methods Baseline data of 3000 persons aged ≥60 years who participated in the Bushehr Elderly Health (BEH program was analyzed. Overweight and obesity were defined as a body mass index (BMI equal to or higher than 25 and 30, respectively. Socioeconomic status (SES was measured by an asset index, constructed using principal component analysis, income, education level, and employment status. The Concentration Index and the Lorenz curve were used to illustrate the levels of inequality for overweight and obesity by gender. Results The frequencies among men and women were, respectively, 840 (57.7% and 1131 (73.2%, P < 0.001, for overweight, and 211 (14.7% and 511 (33.7%, P < 0.001, for obesity. There were direct associations between asset index quintiles and both overweight and obesity among both genders (Ps for trend <0.01 except for obesity among men (P for trend = 0.118. The overall Concentration Indices for overweight and obesity were 0.031 (95%CI = 0.016–0.046, P < 0.001 and 0.041 (95%CI = 0.004–0.078, p = 0.028, respectively. Conclusion Findings support the direct relationship between SES and obesity among women as previously reported in developing countries.

Beyond lognormal inequality: The Lorenz Flow Structure

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Eliazar, Iddo

2016-11-01

Observed from a socioeconomic perspective, the intrinsic inequality of the lognormal law happens to manifest a flow generated by an underlying ordinary differential equation. In this paper we extend this feature of the lognormal law to a general ;Lorenz Flow Structure; of Lorenz curves-objects that quantify socioeconomic inequality. The Lorenz Flow Structure establishes a general framework of size distributions that span continuous spectra of socioeconomic states ranging from the pure-communism extreme to the absolute-monarchy extreme. This study introduces and explores the Lorenz Flow Structure, analyzes its statistical properties and its inequality properties, unveils the unique role of the lognormal law within this general structure, and presents various examples of this general structure. Beyond the lognormal law, the examples include the inverse-Pareto and Pareto laws-which often govern the tails of composite size distributions.

Does school social capital modify socioeconomic inequality in mental health? A multi-level analysis in Danish schools.

Science.gov (United States)

Nielsen, Line; Koushede, Vibeke; Vinther-Larsen, Mathilde; Bendtsen, Pernille; Ersbøll, Annette Kjær; Due, Pernille; Holstein, Bjørn E

2015-09-01

It seems that social capital in the neighbourhood has the potential to reduce socioeconomic differences in mental health among adolescents. Whether school social capital is a buffer in the association between socioeconomic position and mental health among adolescents remains uncertain. The aim of this study is therefore to examine if the association between socioeconomic position and emotional symptoms among adolescents is modified by school social capital. The Health Behaviour in School-aged Children Methodology Development Study 2012 provided data on 3549 adolescents aged 11-15 in two municipalities in Denmark. Trust in the school class was used as an indicator of school social capital. Prevalence of daily emotional symptoms in each socioeconomic group measured by parents' occupational class was calculated for each of the three categories of school classes: school classes with high trust, moderate trust and low trust. Multilevel logistic regression analyses with parents' occupational class as the independent variable and daily emotional symptoms as the dependent variable were conducted stratified by level of trust in the school class. The prevalence of emotional symptoms was higher among students in school classes with low trust (12.9%) compared to school classes with high trust (7.2%) (p social capital may reduce mental health problems and diminish socioeconomic inequality in mental health among adolescents. Copyright © 2015 Elsevier Ltd. All rights reserved.

Gender differences in socioeconomic inequality of alcohol-attributable mortality: A systematic review and meta-analysis.

Science.gov (United States)

Probst, Charlotte; Roerecke, Michael; Behrendt, Silke; Rehm, Jürgen

2015-05-01

The present analysis contributes to understanding the societal distribution of alcohol-attributable harm by investigating socioeconomic inequality and related gender differences in alcohol-attributable mortality. A systematic literature search was performed on Web of Science, MEDLINE, PsycINFO and ETOH from their inception until February 2013. Articles were included when they reported data on alcohol-attributable mortality by socioeconomic status (SES), operationalised as education, occupation, employment status or income. Gender-specific relative risks (RR) comparing low with high SES were pooled using random effects meta-analyses. Gender differences were additionally investigated in random effects meta-regressions. Nineteen articles from 14 countries were included. For women, significant RRs across all measures of SES, except employment status, were found, ranging between 1.75 [95% confidence interval (CI) 1.21-2.54; occupation] and 4.78 (95% CI 2.57-8.87; income). For men, all measures of SES showed significant RRs ranging between 2.88 (95% CI 2.45-3.40; income) and 12.25 (95% CI 11.45-13.10; employment status). While RRs for men were in general slightly higher, only for occupation this gender difference was above chance (P = 0.01). Results refer to deaths 100% attributable to alcohol. The results are predominantly based on data from high-income countries, limiting generalisability. Alcohol-attributable mortality is strongly distributed to the disadvantage of persons with a low SES. Marked gender differences in this inequality were found for occupation. Possibly male-dominated occupations of low SES were more strongly related to risky drinking cultures compared with female-dominated occupations of the same SES. © 2014 Australasian Professional Society on Alcohol and other Drugs.

Socioeconomic inequalities in stillbirth rates in Europe: measuring the gap using routine data from the Euro-Peristat Project.

Science.gov (United States)

Zeitlin, Jennifer; Mortensen, Laust; Prunet, Caroline; Macfarlane, Alison; Hindori-Mohangoo, Ashna D; Gissler, Mika; Szamotulska, Katarzyna; van der Pal, Karin; Bolumar, Francisco; Andersen, Anne-Marie Nybo; Ólafsdóttir, Helga Sól; Zhang, Wei-Hong; Blondel, Béatrice; Alexander, Sophie

2016-01-19

Previous studies have shown that socioeconomic position is inversely associated with stillbirth risk, but the impact on national rates in Europe is not known. We aimed to assess the magnitude of social inequalities in stillbirth rates in European countries using indicators generated from routine monitoring systems. Aggregated data on the number of stillbirths and live births for the year 2010 were collected for three socioeconomic indicators (mothers' educational level, mothers' and fathers' occupational group) from 29 European countries participating in the Euro-Peristat project. Educational categories were coded using the International Standard Classification of Education (ISCED) and analysed as: primary/lower secondary, upper secondary and postsecondary. Parents' occupations were grouped using International Standard Classification of Occupations (ISCO-08) major groups and then coded into 4 categories: No occupation or student, Skilled/ unskilled workers, Technicians/clerical/service occupations and Managers/professionals. We calculated risk ratios (RR) for stillbirth by each occupational group as well as the percentage population attributable risks using the most advantaged category as the reference (post-secondary education and professional/managerial occupations). Data on stillbirth rates by mothers' education were available in 19 countries and by mothers' and fathers' occupations in 13 countries. In countries with these data, the median RR of stillbirth for women with primary and lower secondary education compared to women with postsecondary education was 1.9 (interquartile range (IQR): 1.5 to 2.4) and 1.4 (IQR: 1.2 to 1.6), respectively. For mothers' occupations, the median RR comparing outcomes among manual workers with managers and professionals was 1.6 (IQR: 1.0-2.1) whereas for fathers' occupations, the median RR was 1.4 (IQR: 1.2-1.8). When applied to the entire set of countries with data about mothers' education, 1606 out of 6337 stillbirths (25�

Gender and socio-economic inequalities in health and living conditions among co-resident informal caregivers: a nationwide survey in Spain.

Science.gov (United States)

Abajo, María; Rodríguez-Sanz, Maica; Malmusi, Davide; Salvador, María; Borrell, Carme

2017-03-01

To explore the associations between social determinants, caregiver's network support, burden of care and their consequences in health and living conditions of informal caregivers. The socio-demographic trends regarding population ageing and changes in family models trigger an increased demand for care. Cross-sectional study based on the 2008 edition of the National Disability, Independence and Dependency Situations Survey (DIDSS-2008) conducted by the National Statistics Institute in Spain. Analyses focused on persons identified as primary caregivers who co-reside with the dependent person. The associations between social determinants of caregivers, burden of care, support network and problems attributed to informal care (impaired health, depression, professional, economic and personal issues) were estimated by fitting robust Poisson regression models. Analyses were conducted separately for women and men. The study sample included 6923 caregivers, 73% of women and 27% of men. Gender and socio-economic inequalities were found in assumption of responsibilities and burden of caring for dependents, which tend to fall more on women and persons of lower socio-economic level, who in turn have less access to formal support. These aspects translate into a higher prevalence of health, professional, economic and personal problems. The study highlights gender and socio-economic inequalities in informal caregiving and its negative consequences. These findings may be useful in the design of policies and support programmes targeting the most affected groups of informal caregivers. © 2016 John Wiley & Sons Ltd.

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...

Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data

Directory of Open Access Journals (Sweden)

Belot A

2018-05-01

Full Text Available Aurélien Belot,1-3 Laurent Remontet,3,4 Bernard Rachet,1 Olivier Dejardin,5,6 Hadrien Charvat,7 Simona Bara,8 Anne-Valérie Guizard,5,9 Laurent Roche,3,4 Guy Launoy,5,6 Nadine Bossard3,4 1Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom; 2Non-Communicable Diseases and Trauma Direction, The French Public Health Agency, Saint-Maurice, France; 3Department of Biostatistics and Bioinformatics, Hospices Civils de Lyon, Lyon, France; 4UMR 5558, Biometry and Evolutionary Biology Laboratory, Biostatistics Health Group, CNRS, University Lyon 1, Lyon, France; 5National Institute of Health and Medical Research U1086 ANTICIPE, Caen, France; 6Calvados Digestive Cancer Registry, Centre Hospitalier Universitaire, Caen, France; 7Prevention Division, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan; 8Manche General Cancer Registry, Centre Hospitalier Public du Cotentin, Cherbourg-en-Cotentin, France; 9Calvados General Cancer Registry, Centre François Baclesse, Caen, France Background: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. Methods: We analyzed 17 cancers. Socioeconomic deprivation was measured by an ecological measure, the European Deprivation Index (EDI. The Excess Mortality Hazard (EMH, ie, the mortality hazard among cancer patients after accounting for other causes of death, was modeled using a flexible parametric model, allowing for nonlinear and/or time-dependent association between the EDI and the EMH. The model included a cluster-specific random effect to deal with the hierarchical structure of the data. Results: We reported the conventional age-standardized net survival (ASNS

Social inequality, scientific inequality, and the future of mental illness.

Science.gov (United States)

Dean, Charles E

2017-12-19

Despite five decades of increasingly elegant studies aimed at advancing the pathophysiology and treatment of mental illness, the results have not met expectations. Diagnoses are still based on observation, the clinical history, and an outmoded diagnostic system that stresses the historic goal of disease specificity. Psychotropic drugs are still based on molecular targets developed decades ago, with no increase in efficacy. Numerous biomarkers have been proposed, but none have the requisite degree of sensitivity and specificity, and therefore have no usefulness in the clinic. The obvious lack of progress in psychiatry needs exploration. The historical goals of psychiatry are reviewed, including parity with medicine, a focus on diagnostic reliability rather than validity, and an emphasis on reductionism at the expense of socioeconomic issues. Data are used from Thomas Picketty and others to argue that our failure to advance clinical care may rest in part on the rise in social and economic inequality that began in the 1970s, and in part on our inability to move beyond the medical model of specificity of disease and treatment. It is demonstrated herein that the historical goal of specificity of disease and treatment has not only impeded the advance of diagnosis and treatment of mental illness, but, in combination with a rapid increase in socioeconomic inequality, has led to poorer outcomes and rising mortality rates in a number of disorders, including schizophrenia, anxiety, and depression. It is proposed that Psychiatry should recognize the fact of socioeconomic inequality and its effects on mental disorders. The medical model, with its emphasis on diagnostic and treatment specificity, may not be appropriate for investigation of the brain, given its complexity. The rise of scientific inequality, with billions allocated to connectomics and genetics, may shift attention away from the need for improvements in clinical care. Unfortunately, the future prospects of those

American Higher Education and Income Inequality

Science.gov (United States)

Hill, Catharine B.

2016-01-01

This paper demonstrates that increasing income inequality can contribute to the trends we see in American higher education, particularly in the selective, private nonprofit and public sectors. Given these institutions' selective admissions and commitment to socioeconomic diversity, the paper demonstrates how increasing income inequality leads to…

Traffic, air pollution, minority and socio-economic status: addressing inequities in exposure and risk.

Science.gov (United States)

Pratt, Gregory C; Vadali, Monika L; Kvale, Dorian L; Ellickson, Kristie M

2015-05-19

Higher levels of nearby traffic increase exposure to air pollution and adversely affect health outcomes. Populations with lower socio-economic status (SES) are particularly vulnerable to stressors like air pollution. We investigated cumulative exposures and risks from traffic and from MNRiskS-modeled air pollution in multiple source categories across demographic groups. Exposures and risks, especially from on-road sources, were higher than the mean for minorities and low SES populations and lower than the mean for white and high SES populations. Owning multiple vehicles and driving alone were linked to lower household exposures and risks. Those not owning a vehicle and walking or using transit had higher household exposures and risks. These results confirm for our study location that populations on the lower end of the socio-economic spectrum and minorities are disproportionately exposed to traffic and air pollution and at higher risk for adverse health outcomes. A major source of disparities appears to be the transportation infrastructure. Those outside the urban core had lower risks but drove more, while those living nearer the urban core tended to drive less but had higher exposures and risks from on-road sources. We suggest policy considerations for addressing these inequities.

What is the impact of socio-economic inequalities on the use of mental health services?

Science.gov (United States)

Amaddeo, Francesco; Jones, Julia

2007-01-01

Amartya Sen, who received the Nobel Prize for Economics, has demonstrated that the incidence of deprivation, in terms of capability, can be surprisingly high even in the most developed countries of the world. The study of socio-economic inequalities, in relation to the utilisation of health services, is a priority for epidemiological research. Socio-economic status (SES) has no universal definition. Within the international research literature, SES has been related to social class, social position, occupational status, educational attainment, income, wealth and standard of living. Existing research studies have shown that people from a more deprived social background, with a lower SES, are more likely to have a higher psychiatric morbidity. Many studies show that SES influences psychiatric services utilization, however the real factors linking SES and mental health services utilisation remain unclear. In this editorial we discuss what is currently known about the relationship between SES and the use of mental health services. We also make an argument for why we believe there is still much to uncover in this field, to understand fully how individuals are influenced by their personal socio-economic status, or the neighbourhood in which they live, in terms of their use of mental health services. Further research in this area will help clarify what interventions are required to provide greater equality in access to mental health services.

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.

Social inequalities in maternal mortality among the provinces of Ecuador.

Science.gov (United States)

Sanhueza, Antonio; Roldán, Jakeline Calle; Ríos-Quituizaca, Paulina; Acuña, Maria Cecilia; Espinosa, Isabel

2017-06-08

This study set out to describe the association between the maternal mortality ratio (MMR) estimates and a set of socioeconomic indicators and compute the MMR inequalities among the provinces of Ecuador. A cross-sectional ecological study was conducted, using data for 2014 from the country's 24 provinces. The MMR estimate was calculated for each province, as well as the association and its strength between MMR and specific socioeconomic indicators. For the indicators that were found to be significantly associated with MMR, inequality measurements were computed. Despite a relatively low MMR for Ecuador overall, ratios differed substantially among the provinces. Five socioeconomic indicators proved to be statistically significantly associated with MMR: total fertility rate, the percentage of indigenous population, the percentage of households with children who do not attend school, gross domestic product, and the percentage of houses with electrical service. Of these five, only three had MMR inequalities that were significant: total fertility rate, gross domestic product, and the percentage of households with electricity. This study supports research arguing that national averages can be misleading, as they often hide differences among subgroups at the local level. The findings also suggest that MMR is significantly associated with some socioeconomic indicators, including ones linked with significant health outcome inequalities. In order to reduce health inequities, it is crucial that countries look beyond national averages and identify the subgroups being left behind, explore the particular social determinants that generate these health inequalities, and examine the specific barriers and other factors affecting the subgroups most vulnerable to maternal health inequalities.

COUNTRY-LEVEL SOCIOECONOMIC INDICATORS ASSOCIATED WITH SURVIVAL PROBABILITY OF BECOMING A CENTENARIAN AMONG OLDER EUROPEAN ADULTS: GENDER INEQUALITY, MALE LABOUR FORCE PARTICIPATION AND PROPORTIONS OF WOMEN IN PARLIAMENTS.

Science.gov (United States)

Kim, Jong In; Kim, Gukbin

2017-03-01

This study confirms an association between survival probability of becoming a centenarian (SPBC) for those aged 65 to 69 and country-level socioeconomic indicators in Europe: the gender inequality index (GII), male labour force participation (MLP) rates and proportions of seats held by women in national parliaments (PWP). The analysis was based on SPBC data from 34 countries obtained from the United Nations (UN). Country-level socioeconomic indicator data were obtained from the UN and World Bank databases. The associations between socioeconomic indicators and SPBC were assessed using correlation coefficients and multivariate regression models. The findings show significant correlations between the SPBC for women and men aged 65 to 69 and country-level socioeconomic indicators: GII (r=-0.674, p=0.001), MLP (r=0.514, p=0.002) and PWP (r=0.498, p=0.003). The SPBC predictors for women and men were lower GIIs and higher MLP and PWP (R 2=0.508, p=0.001). Country-level socioeconomic indicators appear to have an important effect on the probability of becoming a centenarian in European adults aged 65 to 69. Country-level gender equality policies in European counties may decrease the risk of unhealthy old age and increase longevity in elders through greater national gender equality; disparities in GII and other country-level socioeconomic indicators impact longevity probability. National longevity strategies should target country-level gender inequality.

Material, behavioural, cultural and psychosocial factors in the explanation of socioeconomic inequalities in oral health.

Science.gov (United States)

Duijster, Denise; Oude Groeniger, Joost; van der Heijden, Geert J M G; van Lenthe, Frank J

2017-12-19

This study aimed to assess the contribution of material, behavioural, cultural and psychosocial factors in the explanation of socioeconomic inequalities (education and income) in oral health of Dutch adults. Cross-sectional data from participants (25-75 years of age) of the fifth wave of the GLOBE cohort were used (n = 2812). Questionnaires were used to obtain data on material factors (e.g. financial difficulties), behavioural factors (e.g. smoking), cultural factors (e.g. cultural activities) and psychosocial factors (e.g. psychological distress). Oral health outcomes were self-reported number of teeth and self-rated oral health (SROH). Mediation analysis, using multivariable negative binomial regression and logistic regression, was performed. Education level and income showed a graded positive relationship with both oral health outcomes. Adding material, behavioural, cultural and psychosocial factors substantially reduced the rate ratio for the number of teeth of the lowest education group from 0.79 (95% confidence interval (CI): 0.75-0.83) to 0.92 (95% CI: 0.87-0.97) and of the lowest income group from 0.80 (95% CI: 0.73-0.88) to 1.04 (95% CI: 0.96-1.14). Inclusion of all factors also substantially reduced the odds ratio for poor SROH of the lowest education group from 1.61 (95% CI: 1.28-2.03) to 1.12 (95% CI: 0.85-1.48) and of the lowest income groups from 3.18 (95% CI: 2.13-4.74) to 1.48 (95% CI: 0.90-2.45). In general, behavioural factors contributed most to the explanation of socioeconomic inequalities in adult oral health, followed by material factors. The contribution of cultural and psychosocial factors was relatively moderate. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association.

The impact of geographic unit of analysis on socioeconomic inequalities in cancer survival and distant summary stage - a population-based study.

Science.gov (United States)

Tervonen, Hanna E; Morrell, Stephen; Aranda, Sanchia; Roder, David; You, Hui; Niyonsenga, Theo; Walton, Richard; Baker, Deborah; Currow, David

2016-12-13

When using area-level disadvantage measures, size of geographic unit can have major effects on recorded socioeconomic cancer disparities. This study examined the extent of changes in recorded socioeconomic inequalities in cancer survival and distant stage when the measure of socioeconomic disadvantage was based on smaller Census Collection Districts (CDs) instead of Statistical Local Areas (SLAs). Population-based New South Wales Cancer Registry data were used to identify cases diagnosed with primary invasive cancer in 2000-2008 (n=264,236). Logistic regression and competing risk regression modelling were performed to examine socioeconomic differences in odds of distant stage and hazard of cancer death for all sites combined and separately for breast, prostate, colorectal and lung cancers. For all sites collectively, associations between socioeconomic disadvantage and cancer survival and distant stage were stronger when the CD-based socioeconomic disadvantage measure was used compared with the SLA-based measure. The CD-based measure showed a more consistent socioeconomic gradient with a linear upward trend of risk of cancer death/distant stage with increasing socioeconomic disadvantage. Site-specific analyses provided similar findings for the risk of death but less consistent results for the likelihood of distant stage. The use of socioeconomic disadvantage measure based on the smallest available spatial unit should be encouraged in the future. Implications for Public Health: Disadvantage measures based on small spatial units can more accurately identify socioeconomic cancer disparities to inform priority settings in service planning. © 2016 Public Health Association of Australia.

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

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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.

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...

Food Price Policies May Improve Diet but Increase Socioeconomic Inequalities in Nutrition.

Science.gov (United States)

Darmon, Nicole; Lacroix, Anne; Muller, Laurent; Ruffieux, Bernard

2016-01-01

Unhealthy eating is more prevalent among women and people with a low socioeconomic status. Policies that affect the price of food have been proposed to improve diet quality. The study's objective was to compare the impact of food price policies on the nutritional quality of food baskets chosen by low-income and medium-income women. Experimental economics was used to simulate a fruit and vegetable subsidy and a mixed policy subsidizing healthy products and taxing unhealthy ones. Food classification was based on the Score of Nutritional Adequacy of Individual Foods, Score of Nutrients to Be Limited nutrient profiling system. Low-income (n = 95) and medium-income (n = 33) women selected a daily food basket first at current prices and then at policy prices. Energy density (ED) and the mean adequacy ratio (MAR) were used as nutritional quality indicators. At baseline, low-income women selected less healthy baskets than medium-income women (less fruit and vegetables, more unhealthy products, higher ED, lower MAR). Both policies improved nutritional quality (fruit and vegetable quantities increased, ED decreased, the MAR increased), but the magnitude of the improvement was often lower among low-income women. For instance, ED decreased by 5.3% with the fruit and vegetable subsidy and by 7.3% with the mixed subsidy, whereas decreases of 13.2 and 12.6%, respectively, were recorded for the medium-income group. Finally, both policies improved dietary quality, but they increased socioeconomic inequalities in nutrition. © 2016 S. Karger AG, Basel.

Education and Gender Inequality: A Nigerian Perspective | Johnson ...

African Journals Online (AJOL)

Journal Home > Vol 2, No 1 (2004) > ... Education and gender inequality in Nigeria have focused on a variety of physical, social, and cognitive contexts. ... women, and widened socio-economic inequalities in the country with disastrous effects.

International Comparison of Household Inequalities: Based on Micro Data with Decompositions

OpenAIRE

Zandvakili, Sourushe

1990-01-01

A family of generalized entropy measures are employed and decomposed by household head's age, gender, education, ethnicity, and family size to investigate inequality within 13 countries for comparative analysis.

Social inequalities in blindness and visual impairment: A review of social determinants

Directory of Open Access Journals (Sweden)

Anna Rius

2012-01-01

Full Text Available Health inequities are related to social determinants based on gender, socioeconomic status, ethnicity, race, living in a specific geographic region, or having a specific health condition. Such inequities were reviewed for blindness and visual impairment by searching for studies on the subject in PubMed from 2000 to 2011 in the English and Spanish languages. The goal of this article is to provide a current review in understanding how inequities based specifically on the aforementioned social determinants on health influence the prevalence of visual impairment and blindness. With regards to gender inequality, women have a higher prevalence of visual impairment and blindness, which cannot be only reasoned based on age or access to service. Socioeconomic status measured as higher income, higher educational status, or non-manual occupational social class was inversely associated with prevalence of blindness or visual impairment. Ethnicity and race were associated with visual impairment and blindness, although there is general confusion over this socioeconomic position determinant. Geographic inequalities and visual impairment were related to income (of the region, nation or continent, living in a rural area, and an association with socioeconomic and political context was suggested. While inequalities related to blindness and visual impairment have rarely been specifically addressed in research, there is still evidence of the association of social determinants and prevalence of blindness and visual impairment. Additional research should be done on the associations with intermediary determinants and socioeconomic and political context.

Social inequalities in blindness and visual impairment: A review of social determinants

Science.gov (United States)

Ulldemolins, Anna Rius; Lansingh, Van C; Valencia, Laura Guisasola; Carter, Marissa J; Eckert, Kristen A

2012-01-01

Health inequities are related to social determinants based on gender, socioeconomic status, ethnicity, race, living in a specific geographic region, or having a specific health condition. Such inequities were reviewed for blindness and visual impairment by searching for studies on the subject in PubMed from 2000 to 2011 in the English and Spanish languages. The goal of this article is to provide a current review in understanding how inequities based specifically on the aforementioned social determinants on health influence the prevalence of visual impairment and blindness. With regards to gender inequality, women have a higher prevalence of visual impairment and blindness, which cannot be only reasoned based on age or access to service. Socioeconomic status measured as higher income, higher educational status, or non-manual occupational social class was inversely associated with prevalence of blindness or visual impairment. Ethnicity and race were associated with visual impairment and blindness, although there is general confusion over this socioeconomic position determinant. Geographic inequalities and visual impairment were related to income (of the region, nation or continent), living in a rural area, and an association with socioeconomic and political context was suggested. While inequalities related to blindness and visual impairment have rarely been specifically addressed in research, there is still evidence of the association of social determinants and prevalence of blindness and visual impairment. Additional research should be done on the associations with intermediary determinants and socioeconomic and political context. PMID:22944744

Towards using the chordal graph polytope in learning decomposable models

Czech Academy of Sciences Publication Activity Database

Studený, Milan; Cussens, J.

2017-01-01

Roč. 88, č. 1 (2017), s. 259-281 ISSN 0888-613X. [8th International Conference of Probabilistic Graphical Models. Lugano, 06.09.2016-09.09.2016] R&D Projects: GA ČR(CZ) GA16-12010S Institutional support: RVO:67985556 Keywords : learning decomposable models * integer linear programming * characteristic imset * chordal graph polytope * clutter inequalities * separation problem Subject RIV: BA - General Mathematics OBOR OECD: Statistics and probability Impact factor: 2.845, year: 2016 http://library.utia.cas.cz/separaty/2017/MTR/studeny-0475614.pdf

Educational inequalities in tuberculosis mortality in sixteen European populations

Science.gov (United States)

Álvarez, J. L.; Kunst, A. E.; Leinsalu, M.; Bopp, M.; Strand, B. H.; Menvielle, Gwenn; Lundberg, O.; Martikainen, P.; Deboosere, P.; Kalediene, R.; Artnik, B.; Mackenbach, J. P.; Richardus, J. H.

2011-01-01

Objective We aim to describe the magnitude of socioeconomic inequalities in tuberculosis (TB) mortality by level of education in male, female, urban, and rural populations in several European countries. Design Data were obtained from the Eurothine project covering 16 populations between 1990 and 2003. Age- and sex-standardized mortality rates, the Relative Index of Inequality, and the slope index of inequality were used to assess educational inequalities. Results The number of TB deaths reported was 8530, with a death rate of 3 per 100 000 per year, of which 73% were males. Educational inequalities in TB mortality were present in all European populations. Inequalities in TB mortality were larger than in total mortality. Relative and absolute inequalities were large in Eastern Europe, and Baltic countries but relatively small in Southern countries and in Norway, Finland, and Sweden. Mortality inequalities were observed among both men and women, and in both rural and urban populations. Conclusions Socioeconomic inequalities in TB mortality exist in all European countries. Firm political commitment is required to reduce inequalities in the social determinants of TB incidence. Targeted public health measures are called for to improve vulnerable groups’ access to treatment and thereby reduce TB mortality. PMID:22008757

Explanatory factors of CO2 per capita emission inequality in the European Union

International Nuclear Information System (INIS)

Padilla, Emilio; Duro, Juan Antonio

2013-01-01

The design of European mitigation policies requires a detailed examination of the factors explaining the unequal emissions in the different countries. This research analyzes the evolution of inequality in CO 2 emissions per capita in the European Union (EU-27) in the period 1990–2009 and its explanatory factors. For this purpose, we decompose the Theil index of inequality into the contributions of the different Kaya factors. The decomposition is also applied to the inequality between and within groups of countries (North Europe, South Europe, and East Europe). The analysis shows an important reduction in inequality, to a large extent due to the smaller differences between groups and because of the lower contribution of the energy intensity factor. The importance of the GDP per capita factor increases and becomes the main explanatory factor. However, within the different groups of countries the carbonization index appears to be the most relevant factor in explaining inequalities. The policy implications of the results are discussed. - Highlights: • CO 2 inequality in EU-27 (Theil index) is decomposed into explanatory (Kaya) factors. • It decreases more between than within regions (North, South, East). • Energy intensity contribution falls and turns negative. GDP pc becomes main factor. • Carbonization makes most relevant contribution to inequality within groups. • Policy implications on feasibility of agreements and mitigation policy are discussed

Pay Inequality in Turkey in the Neo-Liberal Era, 1980-2001

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Galbraith, James K.

2009-12-01

Full Text Available This paper examines pay inequality in Turkish manufacturing annually from 1980 to 2001. Using the between-group component of Theil's T statistic, we decompose the evolution of inequality by geographic region, province, sub-sector and by East-West distinction both for private and public sectors. The decompositions show that while inequality remains approximately the same between regions, it increases in the late 1980s in the private sector between provinces, between East and West, and as well as between manufacturing sub-sectors.

What limits the utilization of health services among china labor force? analysis of inequalities in demographic, socio-economic and health status.

Science.gov (United States)

Lu, Liming; Zeng, Jingchun; Zeng, Zhi

2017-02-02

Inequalities in demographic, socio-economic and health status for China labor force place them at greater health risks, and marginalized them in the utilization of healthcare services. This paper identifies the inequalities which limit the utilization of health services among China labor force, and provides a reference point for health policy. Data were collected from 23,505 participants aged 15 to 65, from the 2014 China Labor Force Dynamic Survey (a nationwide cross-sectional survey covering 29 provinces with a multi-stage cluster, and stratified, probability sampling strategy) conducted by Sun Yat-sen University. Logistic regression models were used to study the effects of demographic (age, gender, marital status, type of hukou and migration status), socio-economic (education, social class and insurance) and health status (self-perceived general health and several chronic illnesses) variables on the utilization of health services (two-week visiting and hospitalization during the past 12 months). Goodness of fit was assessed using Hosmer-Lemeshow test. Discrimination ability was assessed based on the area under the receiver operating curve (AUC). Migrants with more than 1 (OR 2.80, 95% CI 1.01 ~ 7.82) or none chronic illnesses (OR 1.26, 95% CI 1.01 ~ 7.82) are more likely to be two week visiting to the clinic than non-migrants; migrants with none chronic illnesses (OR 0.61, 95% CI 0.45 ~ 0.82) are less likely to be in hospitalization during the past 12 months than non-migrants. Female, elder, hukou of non-agriculture, higher education level, higher social class, purchasing more insurance and poorer self-perceived health were predictors for more utilization of health service. More insurance benefited more two-week visiting (OR 1.12, 95% CI 1.06 ~ 1.17) and hospitalization during the past 12 months (OR 1.12, 95% CI 1.07 ~ 1.18) for individuals with none chronic illness but not ≥1 chronic illnesses. All models achieved good calibration

Household Inequality, Welfare, and the Setting of Trade Policy

NARCIS (Netherlands)

J.F. François (Joseph); H. Rojas-Romagosa

2004-01-01

textabstractWe analyze general equilibrium relationships between trade policy and the household distribution of income, decomposing social welfare into real income level and variance components through Gini and Atkinson indexes. We embed these inequality-adjusted social welfare functions in a

Traffic, Air Pollution, Minority and Socio-Economic Status: Addressing Inequities in Exposure and Risk

Science.gov (United States)

Pratt, Gregory C.; Vadali, Monika L.; Kvale, Dorian L.; Ellickson, Kristie M.

2015-01-01

Higher levels of nearby traffic increase exposure to air pollution and adversely affect health outcomes. Populations with lower socio-economic status (SES) are particularly vulnerable to stressors like air pollution. We investigated cumulative exposures and risks from traffic and from MNRiskS-modeled air pollution in multiple source categories across demographic groups. Exposures and risks, especially from on-road sources, were higher than the mean for minorities and low SES populations and lower than the mean for white and high SES populations. Owning multiple vehicles and driving alone were linked to lower household exposures and risks. Those not owning a vehicle and walking or using transit had higher household exposures and risks. These results confirm for our study location that populations on the lower end of the socio-economic spectrum and minorities are disproportionately exposed to traffic and air pollution and at higher risk for adverse health outcomes. A major source of disparities appears to be the transportation infrastructure. Those outside the urban core had lower risks but drove more, while those living nearer the urban core tended to drive less but had higher exposures and risks from on-road sources. We suggest policy considerations for addressing these inequities. PMID:25996888

Socioeconomic inequalities in the prevalence of nine established cardiovascular risk factors in a southern European population.

Directory of Open Access Journals (Sweden)

Luís Alves

Full Text Available The evaluation of the gender-specific prevalence of cardiovascular risk factors across socioeconomic position (SEP categories may unravel mechanisms involved in the development of coronary heart disease. Using a sample of 1704 community dwellers of a Portuguese urban center aged 40 years or older, assessed in 1999-2003, we quantified the age-standardized prevalence of nine established cardiovascular risk factors (diabetes mellitus, hypertension, hypercholesterolemia, smoking, sedentariness, abdominal obesity, poor diet, excessive alcohol intake and depression across SEP and gender categories. Data on individual education and occupation were collected by questionnaire and used to characterize SEP. The prevalence of seven out of nine well-established risk factors was higher in men. Among women, the prevalence of most of the studied risk factors was higher in lower SEP groups. The main exception was smoking, which increased with education and occupation levels. Among men, socioeconomic gradients were less clear, but lower SEP was associated with a higher prevalence of diabetes, excessive alcohol intake and depression in a graded mode. The historical cultural beliefs and practices captured throughout the lifecourse frame the wide socioeconomic gradients discernible in our study conducted in an unequal European developed population. While men were more exposed to most risk factors, the clearer associations between SEP and risk factors among women support that their adoption of particular healthy behaviors is more dependent on material and symbolic conditions. To fully address the issue of health inequalities, interventions within the health systems should be complemented with population-based policies specifically designed to reduce socioeconomic gradients.

Socioeconomic inequality in preterm birth in four Brazilian birth cohort studies

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Ana Daniela Izoton de Sadovsky

Full Text Available Abstract Objective: To analyze economic inequality (absolute and relative due to family income in relation to the occurrence of preterm births in Southern Brazil. Methods: Four birth cohort studies were conducted in the years 1982, 1993, 2004, and 2011. The main exposure was monthly family income and the primary outcome was preterm birth. The inequalities were calculated using the slope index of inequality and the relative index of inequality, adjusted for maternal skin color, education, age, and marital status. Results: The prevalence of preterm births increased from 5.8% to approximately 14% (p-trend < 0.001. Late preterm births comprised the highest proportion among the preterm births in all studies, although their rates decreased over the years. The analysis on the slope index of inequality demonstrated that income inequality arose in the 1993, 2004, and 2011 studies. After adjustment, only the 2004 study maintained the difference between the poorest and the richest subjects, which was 6.3 percentage points. The relative index of inequality showed that, in all studies, the poorest mothers were more likely to have preterm newborns than the richest. After adjustment for confounding factors, it was observed that the poorest mothers only had a greater chance of this outcome in 2004. Conclusion: In a final model, economic inequalities resulting from income were found in relation to preterm births only in 2004, although a higher prevalence of prematurity continued to be observed in the poorest population, in all the studies.

Inequities in under-five child malnutrition in South Africa

Directory of Open Access Journals (Sweden)

McIntyre Diane

2003-09-01

Full Text Available Abstract Objectives To assess and quantify the magnitude of inequalities in under-five child malnutrition, particularly those ascribable to socio-economic status and to consider the policy implications of these findings. Methods Data on 3765 under-five children were derived from the Living Standards and Development Survey. Household income, proxied by per capita household expenditure, was used as the main indicator of socio-economic status. Socio-economic inequality in malnutrition (stunting, underweight and wasting was measured using the illness concentration index. The concentration index was calculated for the whole sample, as well as for different population groups, areas of residence (rural, urban and metropolitan and for each province. Results Stunting was found to be the most prevalent form of malnutrition in South Africa. Consistent with expectation, the rate of stunting is observed to be the highest in the Eastern Cape and the Northern Province – provinces with the highest concentration of poverty. There are considerable pro-rich inequalities in the distribution of stunting and underweight. However, wasting does not manifest gradients related to socio-economic position. Among White children, no inequities are observed in all three forms of malnutrition. The highest pro-rich inequalities in stunting and underweight are found among Coloured children and metropolitan areas. There is a tendency for high pro-rich concentration indices in those provinces with relatively lower rates of stunting and underweight (Gauteng and the Western Cape. Conclusion There are significant differences in under-five child malnutrition (stunting and underweight that favour the richest of society. These are unnecessary, avoidable and unjust. It is demonstrated that addressing such socio-economic gradients in ill-health, which perpetuate inequalities in the future adult population requires a sound evidence base. Reliance on global averages alone can be

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?

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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

Inequality-adjusted gender wage differentials in Germany

OpenAIRE

Selezneva, Ekaterina; Van Kerm, Philippe

2013-01-01

This paper exploits data from the German Socio-Economic Panel (SOEP) to re-examine the gender wage gap in Germany on the basis of inequality-adjusted measures of wage differentials which fully account for gender differences in pay distributions. The inequality-adjusted gender pay gap measures are significantly larger than suggested by standard indicators, especially in East Germany. Women appear penalized twice, with both lower mean wages and greater wage inequality. A hypothetical risky inve...

[Socioeconomic inequalities in oral health service utilization any time in their lives for Mexican schoolchildren from 6 to 12 years old].

Science.gov (United States)

Jiménez-Gayosso, Sandra Isabel; Medina-Solís, Carlo Eduardo; Lara-Carrillo, Edith; Scougal-Vilchis, Rogelio José; de la Rosa-Santillana, Rubén; Márquez-Rodríguez, Sonia; Mendoza-Rodríguez, Martha; Navarrete-Hernández, José de Jesús

2015-01-01

To determine the prevalence and the existence of socioeconomic inequalities in dental health service utilization (DHSU) any time in the life of Mexican schoolchildren aged 6-12 years of Pachuca Hidalgo, Mexico. We performed a cross-sectional study in 1,404 school children 6-12 years of age from 14 public schools in the city of Pachuca, Hidalgo, Mexico. Questionnaires were distributed to determine socioeconomic position variables (SEP). The dependent variable was DHSU once in life (0 = No, 1 = Yes). The analysis was performed in Stata 9 using chi-square tests. The mean age was 8.97 ± 1.99 years, 50.1% were boys. The prevalence of DHSU any time in life was 71.4%. The DHSU percentage increased according increasing age (p insurance, car ownership in the home, dwelling and household characteristics, a better level of SEP increased prevalence of DHSU. Although in the mother's schooling no differences were observed (p > 0.05), father's schooling was associated (p < 0.05) inversely to expectations. The findings of this study demonstrate that the prevalence of DHSU was not 100%; 28.6% of children have never had contact with a dentist. We identified certain indicator variables of SEP associated with DHSU, indicating the existence of inequalities in this oral health indicator.

Socioeconomic inequality in preterm birth in four Brazilian birth cohort studies.

Science.gov (United States)

Sadovsky, Ana Daniela Izoton de; Matijasevich, Alicia; Santos, Iná S; Barros, Fernando C; Miranda, Angelica Espinosa; Silveira, Mariangela Freitas

To analyze economic inequality (absolute and relative) due to family income in relation to the occurrence of preterm births in Southern Brazil. Four birth cohort studies were conducted in the years 1982, 1993, 2004, and 2011. The main exposure was monthly family income and the primary outcome was preterm birth. The inequalities were calculated using the slope index of inequality and the relative index of inequality, adjusted for maternal skin color, education, age, and marital status. The prevalence of preterm births increased from 5.8% to approximately 14% (p-trendinequality demonstrated that income inequality arose in the 1993, 2004, and 2011 studies. After adjustment, only the 2004 study maintained the difference between the poorest and the richest subjects, which was 6.3 percentage points. The relative index of inequality showed that, in all studies, the poorest mothers were more likely to have preterm newborns than the richest. After adjustment for confounding factors, it was observed that the poorest mothers only had a greater chance of this outcome in 2004. In a final model, economic inequalities resulting from income were found in relation to preterm births only in 2004, although a higher prevalence of prematurity continued to be observed in the poorest population, in all the studies. Copyright © 2017 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.

Socioeconomic inequalities in skilled birth attendance and child stunting in selected low and middle income countries: Wealth quintiles or deciles?

Science.gov (United States)

Wong, Kerry L M; Restrepo-Méndez, María Clara; Barros, Aluísio J D; Victora, Cesar G

2017-01-01

Wealth quintiles derived from household asset indices are routinely used for measuring socioeconomic inequalities in the health of women and children in low and middle-income countries. We explore whether the use of wealth deciles rather than quintiles may be advantageous. We selected 46 countries with available national surveys carried out between 2003 and 2013 and with a sample size of at least 3000 children. The outcomes were prevalence of under-five stunting and delivery by a skilled birth attendant (SBA). Differences and ratios between extreme groups for deciles (D1 and D10) and quintiles (Q1 and Q5) were calculated, as well as two summary measures: the slope index of inequality (SII) and concentration index (CIX). In virtually all countries, stunting prevalence was highest among the poor, and there were larger differences between D1 and D10 than between Q1 and Q5. SBA coverage showed pro-rich patterns in all countries; in four countries the gap was greater than 80 pct points. With one exception, differences between extreme deciles were larger than between quintiles. Similar patterns emerged when using ratios instead of differences. The two summary measures provide very similar results for quintiles and deciles. Patterns of top or bottom inequality varied with national coverage levels. Researchers and policymakers should consider breakdowns by wealth deciles, when sample sizes allow. Use of deciles may contribute to advocacy efforts, monitoring inequalities over time, and targeting health interventions. Summary indices of inequalities were unaffected by the use of quintiles or deciles in their calculation.

Socioeconomic inequalities in skilled birth attendance and child stunting in selected low and middle income countries: Wealth quintiles or deciles?

Directory of Open Access Journals (Sweden)

Kerry L M Wong

Full Text Available Wealth quintiles derived from household asset indices are routinely used for measuring socioeconomic inequalities in the health of women and children in low and middle-income countries. We explore whether the use of wealth deciles rather than quintiles may be advantageous.We selected 46 countries with available national surveys carried out between 2003 and 2013 and with a sample size of at least 3000 children. The outcomes were prevalence of under-five stunting and delivery by a skilled birth attendant (SBA. Differences and ratios between extreme groups for deciles (D1 and D10 and quintiles (Q1 and Q5 were calculated, as well as two summary measures: the slope index of inequality (SII and concentration index (CIX.In virtually all countries, stunting prevalence was highest among the poor, and there were larger differences between D1 and D10 than between Q1 and Q5. SBA coverage showed pro-rich patterns in all countries; in four countries the gap was greater than 80 pct points. With one exception, differences between extreme deciles were larger than between quintiles. Similar patterns emerged when using ratios instead of differences. The two summary measures provide very similar results for quintiles and deciles. Patterns of top or bottom inequality varied with national coverage levels.Researchers and policymakers should consider breakdowns by wealth deciles, when sample sizes allow. Use of deciles may contribute to advocacy efforts, monitoring inequalities over time, and targeting health interventions. Summary indices of inequalities were unaffected by the use of quintiles or deciles in their calculation.

Expansion, Differentiation, and the Persistence of Social Class Inequalities in British Higher Education

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Boliver, Vikki

2011-01-01

Conventional political wisdom has it that educational expansion helps to reduce socioeconomic inequalities of access to education by increasing equality of educational opportunity. The counterarguments of Maximally Maintained Inequality (MMI) and Effectively Maintained Inequality (EMI), in contrast, contend that educational inequalities tend to…

Association between cardiovascular disease and socioeconomic level in Portugal.

Science.gov (United States)

Ribeiro, Sónia; Furtado, Cláudia; Pereira, João

2013-11-01

Cardiovascular disease is the leading cause of morbidity, mortality and disability in Portugal. Socioeconomic level is known to influence health status but there is scant evidence on socioeconomic inequalities in cardiovascular disease in Portugal. To analyze the distribution of cardiovascular disease in the Portuguese population according to socioeconomic status. We conducted a cross-sectional study using data from the fourth National Health Survey on a representative sample of the Portuguese population. Socioeconomic inequalities in cardiovascular disease, risk factors and number of medical visits were analyzed using odds ratios according to socioeconomic status (household equivalent income) in the adult population (35-74 years). Comparisons focused on the top and bottom 50% and 10% of household income distribution. Of the 21 807 individuals included, 53.3% were female, and mean age was 54 ± 11 years. Cardiovascular disease, stroke, ischemic heart disease, hypertension, diabetes, obesity and physical inactivity were associated with lower socioeconomic status, while smoking was associated with higher status; number of medical visits and psychological distress showed no association. When present, inequality was greater at the extremes of income distribution. The results reveal an association between morbidity, lifestyle and socioeconomic status. They also suggest that besides improved access to effective medical intervention, there is a need for a comprehensive strategy for health promotion and disease prevention that takes account of individual, cultural and socioeconomic characteristics. Copyright © 2012 Sociedade Portuguesa de Cardiologia. Published by Elsevier España. All rights reserved.

Inequalities in Under-5 Mortality in Nigeria: Do Ethnicity and Socioeconomic Position Matter?

Science.gov (United States)

Antai, Diddy

2011-01-01

Background Each ethnic group has its own cultural values and practices that widen inequalities in child health and survival among ethnic groups. This study seeks to examine the mediatory effects of ethnicity and socioeconomic position on under-5 mortality in Nigeria. Methods Using multilevel logistic regression analysis of a nationally representative sample drawn from 7620 females age 15 to 49 years in the 2003 Nigeria Demographic and Health Survey, the risk of death in children younger than 5 years (under-5 deaths) was estimated using odds ratios with 95% confidence intervals for 6029 children nested within 2735 mothers who were in turn nested within 365 communities. Results The prevalence of under-5 death was highest among children of Hausa/Fulani/Kanuri mothers and lowest among children of Yoruba mothers. The risk of under-5 death was significantly lower among children of mothers from the Igbo and other ethnic groups, as compared with children of Hausa/Fulani/Kanuri mothers, after adjustment for individual- and community-level factors. Much of the disparity in under-5 mortality with respect to maternal ethnicity was explained by differences in physician-provided community prenatal care. Conclusions Ethnic differences in the risk of under-5 death were attributed to differences among ethnic groups in socioeconomic characteristics (maternal education and to differences in the maternal childbearing age and short birth-spacing practices. These findings emphasize the need for community-based initiatives aimed at increasing maternal education and maternal health care services within communities. PMID:20877142

Inequalities in Dental Attendance throughout the Life-course

Science.gov (United States)

2012-01-01

The purpose of this study was to identify socio-economic inequalities in regular dental attendance throughout the life-course. The analyses relied on data from SHARE (waves 1 to 3 of the Survey of Health, Ageing, and Retirement in Europe), which includes retrospective information on life-course dental attendance of 26,525 persons currently aged 50 years or greater from 13 European countries (Austria, Poland, Spain, Italy, the Netherlands, Belgium, Greece, the Czech Republic, France, Denmark, Switzerland, Germany, and Sweden). Inequalities in dental attendance were assessed by means of Concentration Indices. Socio-economic disparities in regular dental attendance were identified as early as childhood. Moreover, higher educational attainment resulted in increased probabilities of regular dental attendance throughout subsequent life-years in all nations. In most countries, inequality levels remained relatively inelastic throughout the life-course. These findings suggest that a considerable proportion of inequalities in dental care use is already established at childhood and persists throughout the life-course. PMID:22699676

Wage Inequality and Wage Mobility in Turkey

OpenAIRE

Tansel, Aysit; Dalgıç, Başak; Güven, Aytekin

2014-01-01

This paper investigates wage inequality and wage mobility in Turkey using the Surveys on Income and Living Conditions (SILC). This is the first paper that explores wage mobility for Turkey. It differs from the existing literature by providing analyses of wage inequality and wage mobility over various socioeconomic groups such as gender, age, education and sector of economic activity. We first present an overview of the evolution of wages and wage inequality over the period 2005-2011. Next, w...

Trends in socioeconomic inequalities in smoking prevalence, consumption, initiation, and cessation between 2001 and 2008 in the Netherlands. Findings from a national population survey

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Nagelhout Gera E

2012-05-01

Full Text Available Abstract Background Widening of socioeconomic status (SES inequalities in smoking prevalence has occurred in several Western countries from the mid 1970’s onwards. However, little is known about a widening of SES inequalities in smoking consumption, initiation and cessation. Methods Repeated cross-sectional population surveys from 2001 to 2008 (n ≈ 18,000 per year were used to examine changes in smoking prevalence, smoking consumption (number of cigarettes per day, initiation ratios (ratio of ever smokers to all respondents, and quit ratios (ratio of former smokers to ever smokers in the Netherlands. Education level and income level were used as indicators of SES and results were reported separately for men and women. Results Lower educated respondents were significantly more likely to be smokers, smoked more cigarettes per day, had higher initiation ratios, and had lower quit ratios than higher educated respondents. Income inequalities were smaller than educational inequalities and were not all significant, but were in the same direction as educational inequalities. Among women, educational inequalities widened significantly between 2001 and 2008 for smoking prevalence, smoking initiation, and smoking cessation. Among low educated women, smoking prevalence remained stable between 2001 and 2008 because both the initiation and quit ratio increased significantly. Among moderate and high educated women, smoking prevalence decreased significantly because initiation ratios remained constant, while quit ratios increased significantly. Among men, educational inequalities widened significantly between 2001 and 2008 for smoking consumption only. Conclusions While inequalities in smoking prevalence were stable among Dutch men, they increased among women, due to widening inequalities in both smoking cessation and initiation. Both components should be addressed in equity-oriented tobacco control policies.

Decomposing Educational Inequalities in Child Mortality: A Temporal Trend Analysis of Access to Water and Sanitation in Peru

OpenAIRE

Bohra, Tasneem; Benmarhnia, Tarik; McKinnon, Britt; Kaufman, Jay S.

2017-01-01

Previous studies of inequality in health and mortality have largely focused on income-based inequality. Maternal education plays an important role in determining access to water and sanitation, and inequalities in child mortality arising due to differential access, especially in low- and middle-income countries such as Peru. This article aims to explain education-related inequalities in child mortality in Peru using a regression-based decomposition of the concentration index of child mortalit...

Gender Inequality since 1820

NARCIS (Netherlands)

Carmichael, Sarah; Dilli, Selin; Rijpma, Auke

2014-01-01

Historically, gender inequalities in health status, socio-economic standing and political rights have been large. This chapter documents gender differences in life expectancy and birth rates (to cover health status); in average years of schooling, labour force participation, inheritance rights and

Do socioeconomic inequalities in pain, psychological distress and oral health increase or decrease over the life course? Evidence from Sweden over 43 years of follow-up.

Science.gov (United States)

Celeste, Roger Keller; Fritzell, Johan

2018-02-01

Inequalities over the life course may increase due to accumulation of disadvantage or may decrease because ageing can work as a leveller. We report how absolute and relative socioeconomic inequalities in musculoskeletal pain, oral health and psychological distress evolve with ageing. Data were combined from two nationally representative Swedish panel studies: the Swedish Level-of-Living Survey and the Swedish Panel Study of Living Conditions of the Oldest Old. Individuals were followed up to 43 years in six waves (1968, 1974, 1981, 1991/1992, 2000/2002, 2010/2011) from five cohorts: 1906-1915 (n=899), 1925-1934 (n=906), 1944-1953 (n=1154), 1957-1966 (n=923) and 1970-1981 (n=1199). The participants were 15-62 years at baseline. Three self-reported outcomes were measured as dichotomous variables: teeth not in good conditions, psychological distress and musculoskeletal pain. The fixed-income groups were: (A) never poor and (B) poor at least once in life. The relationship between ageing and the outcomes was smoothed with locally weighted ordinary least squares, and the relative and absolute gaps were calculated with Poisson regression using generalised estimating equations. All outcomes were associated with ageing, birth cohort, sex and being poor at least once in live. Absolute inequalities increased up to the age of 45-64 years, and then they decreased. Relative inequalities were large already in individuals aged 15-25 years, showing a declining trend over the life course. Selective mortality did not change the results. The socioeconomic gap was larger for current poverty than for being poor at least once in life. Inequalities persist into very old age, though they are more salient in midlife for all three outcomes observed. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

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....

Inequalities in the use of secondary prevention of cardiovascular disease by socioeconomic status: evidence from the PURE observational study

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Adrianna Murphy, PhD

2018-03-01

Full Text Available Summary: Background: There is little evidence on the use of secondary prevention medicines for cardiovascular disease by socioeconomic groups in countries at different levels of economic development. Methods: We assessed use of antiplatelet, cholesterol, and blood-pressure-lowering drugs in 8492 individuals with self-reported cardiovascular disease from 21 countries enrolled in the Prospective Urban Rural Epidemiology (PURE study. Defining one or more drugs as a minimal level of secondary prevention, wealth-related inequality was measured using the Wagstaff concentration index, scaled from −1 (pro-poor to 1 (pro-rich, standardised by age and sex. Correlations between inequalities and national health-related indicators were estimated. Findings: The proportion of patients with cardiovascular disease on three medications ranged from 0% in South Africa (95% CI 0–1·7, Tanzania (0–3·6, and Zimbabwe (0–5·1, to 49·3% in Canada (44·4–54·3. Proportions receiving at least one drug varied from 2·0% (95% CI 0·5–6·9 in Tanzania to 91·4% (86·6–94·6 in Sweden. There was significant (p<0·05 pro-rich inequality in Saudi Arabia, China, Colombia, India, Pakistan, and Zimbabwe. Pro-poor distributions were observed in Sweden, Brazil, Chile, Poland, and the occupied Palestinian territory. The strongest predictors of inequality were public expenditure on health and overall use of secondary prevention medicines. Interpretation: Use of medication for secondary prevention of cardiovascular disease is alarmingly low. In many countries with the lowest use, pro-rich inequality is greatest. Policies associated with an equal or pro-poor distribution include free medications and community health programmes to support adherence to medications. Funding: Full funding sources listed at the end of the paper (see Acknowledgments.

Province-Level Income Inequality and Health Outcomes in Canadian Adolescents

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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

Socioeconomic inequalities in lipid and glucose metabolism in early childhood in a population-based cohort: the ABCD-Study

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van den Berg Gerrit

2012-08-01

Full Text Available Abstract Background Socioeconomic inequalities in cardiovascular disease are pervasive, yet much remains to be understood about how they originate. The objective of this study was to explore the relations of socioeconomic status to lipid and glucose metabolism as indicators of cardiovascular health in 5–6 year olds. Additionally to explore the explanatory role of maternal factors, birth outcome, and child factors. Methods In 1308 5–6 year old ethnic Dutch children from the ABCD cohort study, lipids (cholesterol, LDL, HDL, triglycerides, glucose and C-peptide were measured after an overnight-fast. Results There were no differences in cholesterol, HDL, LDL, and triglycerides between socioeconomic groups, as indicated by maternal education and income adequacy. However, children of low educated mothers had on average a higher glucose (β = 0.15; 95% confidence interval (CI 0.03 – 0.27, logC-peptide (β = 0.07; 95% CI 0.04 – 0.09, and calculated insulin resistance (HOMA-IR (β = 0.15; 95% CI 0.08 – 0.22 compared to children of high educated mothers. Only childhood BMI partly explained these differences (models controlled for age, height, and sex. Conclusions The socioeconomic gradient in cardiovascular risk factors seems to emerge in early childhood. In absence of underlying mechanisms these empirical findings are relevant for public health care and further explanatory research.

Economic Inequality Predicts Biodiversity Loss

OpenAIRE

Mikkelson, Gregory M.; Gonzalez, Andrew; Peterson, Garry D.

2007-01-01

Human activity is causing high rates of biodiversity loss. Yet, surprisingly little is known about the extent to which socioeconomic factors exacerbate or ameliorate our impacts on biological diversity. One such factor, economic inequality, has been shown to affect public health, and has been linked to environmental problems in general. We tested how strongly economic inequality is related to biodiversity loss in particular. We found that among countries, and among US states, the number of sp...

Decomposition of Changes in Earnings Inequality in China: A Distributional Approach

OpenAIRE

Chi, Wei; Li, Bo; Yu, Qiumei

2007-01-01

Using the nationwide household data, this study examines the changes in the Chinese urban income distributions from 1987 to 1996 and from 1996 to 2004, and investigates the causes of these changes. The Oaxaca-Blinder decomposition method is applied to decomposing the mean earnings increases, and the Firpo-Fortin-Lemieux method based upon a recentered influence function is used to decompose the changes in the income distribution and the inequality measures such as the variance and the 10-90 r...

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.

Multilevel survival analysis of health inequalities in life expectancy

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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