Analysis of Health Behavior Theories for Clustering of Health Behaviors.

Science.gov (United States)

Choi, Seung Hee; Duffy, Sonia A

The objective of this article was to review the utility of established behavior theories, including the Health Belief Model, Theory of Reasoned Action, Theory of Planned Behavior, Transtheoretical Model, and Health Promotion Model, for addressing multiple health behaviors among people who smoke. It is critical to design future interventions for multiple health behavior changes tailored to individuals who currently smoke, yet it has not been addressed. Five health behavior theories/models were analyzed and critically evaluated. A review of the literature included a search of PubMed and Google Scholar from 2010 to 2016. Two hundred sixty-seven articles (252 studies from the initial search and 15 studies from the references of initially identified studies) were included in the analysis. Most of the health behavior theories/models emphasize psychological and cognitive constructs that can be applied only to one specific behavior at a time, thus making them not suitable to address multiple health behaviors. However, the Health Promotion Model incorporates "related behavior factors" that can explain multiple health behaviors among persons who smoke. Future multiple behavior interventions guided by the Health Promotion Model are necessary to show the utility and applicability of the model to address multiple health behaviors.

Uses of Youth Risk Behavior Survey and School Health Profiles Data: Applications for Improving Adolescent and School Health

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Foti, Kathryn; Balaji, Alexandra; Shanklin, Shari

2011-01-01

Background: To monitor priority health risk behaviors and school health policies and practices, respectively, the Centers for Disease Control and Prevention (CDC) developed the Youth Risk Behavior Surveillance System (YRBSS) and the School Health Profiles (Profiles). CDC is often asked about the use and application of these survey data to improve…

Rethinking behavioral health processes by using design for six sigma.

Science.gov (United States)

Lucas, Anthony G; Primus, Kelly; Kovach, Jamison V; Fredendall, Lawrence D

2015-02-01

Clinical evidence-based practices are strongly encouraged and commonly utilized in the behavioral health community. However, evidence-based practices that are related to quality improvement processes, such as Design for Six Sigma, are often not used in behavioral health care. This column describes the unique partnership formed between a behavioral health care provider in the greater Pittsburgh area, a nonprofit oversight and monitoring agency for behavioral health services, and academic researchers. The authors detail how the partnership used the multistep process outlined in Design for Six Sigma to completely redesign the provider's intake process. Implementation of the redesigned process increased access to care, decreased bad debt and uncollected funds, and improved cash flow--while consumer satisfaction remained high.

Data Integration for Health and Stress Monitoring: Biological Metabolites, Wearables Data, and Self-Reporting

Science.gov (United States)

Dunn, Jocelyn T.

Integrative and unobtrusive approaches to monitoring health and stress can assist in preventative medicine and disease management, and provide capabilities for complex work environments, such as military deployments and long-duration human space exploration missions. With many data streams that could potentially provide critical information about the health, behavior, and psychosocial states of individuals or small groups, the central question of this research is how to reliably measure health and stress states over time. This integrative approach to health and stress monitoring has implemented biological metabolite profiling, wearables data analysis, and survey assessment for comparing biological, behavioral, and psychological perspectives. Health monitoring technologies aim to provide objective data about health status. Providing objective information can help mitigate biases or blind spots in an individual's perception. Consider an individual who is unwilling to openly admit to psychosocial distress and unhealthy habits, or an individual who has habituated to long-term stressors and is unable to recognize a chronic state of high stress. Both honesty and self-awareness are required for accurate self-reporting. Digital health technologies, such as wearable devices, provide objective data for health monitoring. Compared to surveys, wearables are less influenced by participant openness, and compared to biological samples, wearables require less equipment and less labor for analysis. However, inherent to every data stream are limitations due to uncertainty and sensitivity. This research has been conducted in collaboration with Hawaii Space Exploration Analog and Simulation (HI-SEAS), which is a Mars analog research site on the slopes on Mauna Loa volcano in Hawaii. During 8-month and 12-month HI-SEAS missions in the 2014-2016 timeframe, twelve individuals provided hair and urine samples for metabolite profiling, utilized consumer-grade wearables to monitor sleep and

Diagnostic tool for structural health monitoring: effect of material nonlinearity and vibro-impact process

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Hiwarkar, V. R.; Babitsky, V. I.; Silberschmidt, V. V.

2013-07-01

Numerous techniques are available for monitoring structural health. Most of these techniques are expensive and time-consuming. In this paper, vibration-based techniques are explored together with their use as diagnostic tools for structural health monitoring. Finite-element simulations are used to study the effect of material nonlinearity on dynamics of a cracked bar. Additionally, several experiments are performed to study the effect of vibro-impact behavior of crack on its dynamics. It was observed that a change in the natural frequency of the cracked bar due to crack-tip plasticity and vibro-impact behavior linked to interaction of crack faces, obtained from experiments, led to generation of higher harmonics; this can be used as a diagnostic tool for structural health monitoring.

Differences in Eating Behavior, Physical Activity, and Health-Related Lifestyle Choices between Users and Nonusers of Mobile Health Apps

Science.gov (United States)

Sarcona, Alessandra; Kovacs, Laura; Wright, Josephine; Williams, Christine

2017-01-01

Background: Weight gain and lifestyle behaviors during college may contribute to future health problems. This population may not have sufficient self-monitoring skills to maintain healthy lifestyle behaviors. Purpose: The purpose of this study was to determine the relationship between usages of mobile health applications (apps) designed to track…

Behavioral-Progress Monitoring Using the Electronic Daily Behavioral Report Card (e-DBRC) System

Science.gov (United States)

Burke, Mack D.; Vannest, Kimberly J.

2008-01-01

In this article, the authors present an overview of a Web-based electronic system for behavioral-progress monitoring. Behavioral-progress monitoring is necessary to evaluate responsiveness to behavioral interventions, the effects of positive behavioral support, and the attainment of individualized education program goals and objectives. The…

Analysis of health consumers' behavior using self-tracker for activity, sleep, and diet.

Science.gov (United States)

Kim, Jeongeun

2014-06-01

With the ever-increasing availability of health information technology (HIT) enabling health consumers to measure, store, and manage their health data (e.g., self-tracking devices), more people are logging and managing their own health data for the purpose of promoting general well-being. To develop and implement effective and efficient strategies for improving personal monitoring devices, a rigorous theoretical framework to explain the health consumer's attitude, intention, and behavior needs to be established. The aim of this study is to verify the HIT acceptance model (HITAM) in the context of the health consumer's attitude, behavioral intention, and behavior of utilizing self-trackers. Furthermore, the study aims to gain better understanding of self-tracking behavior in the context of logging daily activity level, sleep patterns, and dietary habits. Forty-four female college students were selected as voluntary study participants. They used self-trackers for activity, sleep, and diet monitoring for 90 or more consecutive days. The logged data were analyzed and fitted to the HITAM to verify whether the model was suitable for capturing the various behavioral and intention-related characteristics observed. The overall fitness indices for the HITAM using the field data yielded an acceptable fitness to the model, with all path coefficients being statistically significant. The model accounts for 66.8% of the variance in perceived usefulness, 43.9% of the variance in perceived ease of use, 83.1% of the variance in attitude, and 48.4% of the variance in behavioral intention. The compliance ranking of self-tracking behavior, in order of decreasing compliance, was activity, sleep, and diet. This ranking was consistent with that of ease of use of the personal monitoring device used in the study. The HITAM was verified for its ability to describe the health consumer's attitude, behavioral intention, and behavior. The analysis indicated that the ease of use of a particular

Active assistance technology for health-related behavior change: an interdisciplinary review.

Science.gov (United States)

Kennedy, Catriona M; Powell, John; Payne, Thomas H; Ainsworth, John; Boyd, Alan; Buchan, Iain

2012-06-14

Information technology can help individuals to change their health behaviors. This is due to its potential for dynamic and unbiased information processing enabling users to monitor their own progress and be informed about risks and opportunities specific to evolving contexts and motivations. However, in many behavior change interventions, information technology is underused by treating it as a passive medium focused on efficient transmission of information and a positive user experience. To conduct an interdisciplinary literature review to determine the extent to which the active technological capabilities of dynamic and adaptive information processing are being applied in behavior change interventions and to identify their role in these interventions. We defined key categories of active technology such as semantic information processing, pattern recognition, and adaptation. We conducted the literature search using keywords derived from the categories and included studies that indicated a significant role for an active technology in health-related behavior change. In the data extraction, we looked specifically for the following technology roles: (1) dynamic adaptive tailoring of messages depending on context, (2) interactive education, (3) support for client self-monitoring of behavior change progress, and (4) novel ways in which interventions are grounded in behavior change theories using active technology. The search returned 228 potentially relevant articles, of which 41 satisfied the inclusion criteria. We found that significant research was focused on dialog systems, embodied conversational agents, and activity recognition. The most covered health topic was physical activity. The majority of the studies were early-stage research. Only 6 were randomized controlled trials, of which 4 were positive for behavior change and 5 were positive for acceptability. Empathy and relational behavior were significant research themes in dialog systems for behavior change, with

Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review.

Science.gov (United States)

Olson, Christine M

2016-07-17

e- and m-Health communication technologies are now common approaches to improving population health. The efficacy of behavioral nutrition interventions using e-health technologies to decrease fat intake and increase fruit and vegetable intake was demonstrated in studies conducted from 2005 to 2009, with approximately 75% of trials showing positive effects. By 2010, an increasing number of behavioral nutrition interventions were focusing on body weight. The early emphasis on interventions that were highly computer tailored shifted to personalized electronic interventions that included weight and behavioral self-monitoring as key features. More diverse target audiences began to participate, and mobile components were added to interventions. Little progress has been made on using objective measures rather than self-reported measures of dietary behavior. A challenge for nutritionists is to link with the private sector in the design, use, and evaluation of the many electronic devices that are now available in the marketplace for nutrition monitoring and behavioral change.

[Health and health-related behaviors according to sexual attraction and behavior].

Science.gov (United States)

Pérez, Glòria; Martí-Pastor, Marc; Gotsens, Mercè; Bartoll, Xavier; Diez, Elia; Borrell, Carme

2015-01-01

to Describe perceived health, mental health and certain health-related behaviors according to sexual attraction and behavior in the population residing in Barcelona in 2011. Perceived health, mental health, chronic conditions and health-related behaviors were analyzed in 2675 people aged 15 to 64 years. The Barcelona Health Survey for 2011 was used, which included questions on sexual attraction and behavior. Multivariate robust Poisson regression models were fitted to obtain adjusted prevalence ratios. People feeling same-sex attraction reported a higher prevalence of worse perceived and mental health. These people and those who had had sex with persons of the same sex more frequently reported harmful health-related behaviors. Lesbian, gay, transgender and bisexual people may have health problems that should be explored in depth, prevented, and attended. Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

The problem of creating habits: establishing health-protective dental behaviors.

Science.gov (United States)

McCaul, K D; Glasgow, R E; O'Neill, H K

1992-01-01

We describe three experiments testing treatments to promote the performance of health-protective dental behaviors. Subjects included 55 women from an introductory psychology course (Experiment 1), 45 men and women (Experiment 2), and 81 older-than-average students identified as at risk for gum disease (Experiment 3). The interventions, derived from social cognitive theory, included health education, skills training, and self-monitoring. In each study, we examined the contribution of additional treatment components, including social support (Experiment 1), intensive contact (Experiment 2), and flexible goal setting (Experiment 3). Across experiments, the behavioral results were remarkably similar: Subjects exhibited excellent adherence while in the study but, at follow-up, reported behavior that differed little from baseline. We discuss parallels between attempts to promote health-protective dental behaviors and other health-promotion programs, and we describe different perspectives from which to address the problem of creating healthy habits.

A Battery Health Monitoring Framework for Planetary Rovers

Science.gov (United States)

Daigle, Matthew J.; Kulkarni, Chetan Shrikant

2014-01-01

Batteries have seen an increased use in electric ground and air vehicles for commercial, military, and space applications as the primary energy source. An important aspect of using batteries in such contexts is battery health monitoring. Batteries must be carefully monitored such that the battery health can be determined, and end of discharge and end of usable life events may be accurately predicted. For planetary rovers, battery health estimation and prediction is critical to mission planning and decision-making. We develop a model-based approach utilizing computaitonally efficient and accurate electrochemistry models of batteries. An unscented Kalman filter yields state estimates, which are then used to predict the future behavior of the batteries and, specifically, end of discharge. The prediction algorithm accounts for possible future power demands on the rover batteries in order to provide meaningful results and an accurate representation of prediction uncertainty. The framework is demonstrated on a set of lithium-ion batteries powering a rover at NASA.

Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey.

Science.gov (United States)

Ernsting, Clemens; Dombrowski, Stephan U; Oedekoven, Monika; O Sullivan, Julie L; Kanzler, Melanie; Kuhlmey, Adelheid; Gellert, Paul

2017-04-05

Chronic conditions are an increasing challenge for individuals and the health care system. Smartphones and health apps are potentially promising tools to change health-related behaviors and manage chronic conditions. The aim of this study was to explore (1) the extent of smartphone and health app use, (2) sociodemographic, medical, and behavioral correlates of smartphone and health app use, and (3) associations of the use of apps and app characteristics with actual health behaviors. A population-based survey (N=4144) among Germans, aged 35 years and older, was conducted. Sociodemographics, presence of chronic conditions, health behaviors, quality of life, and health literacy, as well as the use of the Internet, smartphone, and health apps were assessed by questionnaire at home visit. Binary logistic regression models were applied. It was found that 61.25% (2538/4144) of participants used a smartphone. Compared with nonusers, smartphone users were younger, did more research on the Internet, were more likely to work full-time and more likely to have a university degree, engaged more in physical activity, and less in low fat diet, and had a higher health-related quality of life and health literacy. Among smartphone users, 20.53% (521/2538) used health apps. App users were younger, less likely to be native German speakers, did more research on the Internet, were more likely to report chronic conditions, engaged more in physical activity, and low fat diet, and were more health literate compared with nonusers who had a smartphone. Health apps focused on smoking cessation (232/521, 44.5%), healthy diet (201/521, 38.6%), and weight loss (121/521, 23.2%). The most common app characteristics were planning (264/521, 50.7%), reminding (188/521, 36.1%), prompting motivation (179/521 34.4%), and the provision of information (175/521, 33.6%). Significant associations were found between planning and the health behavior physical activity, between feedback or monitoring and physical

BeMonitored: Monitoring psychophysiology and behavior using Android in phobias.

Science.gov (United States)

Brás, Susana; Soares, Sandra C; Moreira, Ricardo; Fernandes, José M

2016-09-01

It is of the utmost importance that researchers can recreate, as accurately as possible, real-life conditions in psychological studies. However, that is not always possible. Given that phobias are rather context-specific, their study is the ideal candidate to assess the feasibility of using a mobile and wearable device for obtaining physiological and behavioral data. In this article, we propose BeMonitored, a smartphone-based solution to support more ecologically valid monitoring of psychological experiments. BeMonitored delivers customizable, specific context-dependent audiovisual stimuli and uses external resources connected via Bluetooth or a smartphone's own resources, while capturing the participant's behavior, physiology, and environment. We used BeMonitored in a spider phobia case study and showed that spider phobics differed from control participants in face motion, captured by the smartphone camera. Moreover, our results also revealed heart rate differences between spider and neutral stimuli in phobic participants. The presented results emphasize the usefulness of smartphones for phobia monitoring. Considering their intrinsic characteristics, smartphones may constitute the natural evolution from the lab to more realistic contexts.

Health behaviors of Bydgoszcz high school graduates

Directory of Open Access Journals (Sweden)

Alicja Kostencka

2016-10-01

Full Text Available Lifestyle affects the physical, mental, social development, health and learning ability. It seems that there are differences in the health behaviors  of young females and males, however these differences are not well described. The aim of the current study was to assess the lifestyle of eighteen-years old and to compare their health behaviors of young persons according to their gender. The study was conducted among 98 students of high schools in Bydgoszcz (35 females and 68 males. All participants were 18 years old. The questionnaire was prepared especially for the purposes of the study, a part of the questions of this questionnaire was taken from the Canada Fitness Survey. The physical activity, mode of nutrition, use of stimulants, hours of sleep, time spent in front of screens and the level of stress were taken into consideration while assessing the teenagers’ lifestyle. The lifestyle of high school graduates is worrisome. It is characterized by low level of physical activity, irregular nutrition, not enough fruits, vegetables and water consumed. A large group of young people drink alcohol, smoke tobacco and marijuana, sleep too short. Males also spend too many hours in front of a television, computer or other similar device. Differences in the health behaviors of  women and men appear to be significant. The prevalence of alcohol abuse in this group is very high and affects both sexes. The sex differences in the health-promoting behaviors among men and women in this group of adolescents seems to diminish. Observed unhealthy behaviors indicates the urgent need for health education, especially those that educate the student about the value of the person, the value of health, and the development of social skills that underlie personal development. The foremost priority is  risk prevention implementation in primary schools. Further research and continuous monitoring of health behaviors in different age groups  is needed as well as  to

Augmented fish health monitoring

International Nuclear Information System (INIS)

Michak, P.; Rogers, R.; Amos, K.

1991-05-01

The Bonneville Power Administration (BPA) initiated the Augmented Fish Health Monitoring project in 1986. This project was a five year interagency project involving fish rearing agencies in the Columbia Basin. Historically, all agencies involved with fish health in the Columbia Basin were conducting various levels of fish health monitoring, pathogen screening and collection. The goals of this project were; to identify, develop and implement a standardized level of fish health methodologies, develop a common data collection and reporting format in the area of artificial production, evaluate and monitor water quality, improve communications between agencies and provide annual evaluation of fish health information for production of healthier smolts. This completion report will contain a project evaluation, review of the goals of the project, evaluation of the specific fish health analyses, an overview of highlights of the project and concluding remarks. 8 refs., 1 fig., 4 tabs

[What potential do geographic information systems have for population-wide health monitoring in Germany? : Perspectives and challenges for the health monitoring of the Robert Koch Institute].

Science.gov (United States)

Thißen, Martin; Niemann, Hildegard; Varnaccia, Gianni; Rommel, Alexander; Teti, Andrea; Butschalowsky, Hans; Manz, Kristin; Finger, Jonas David; Kroll, Lars Eric; Ziese, Thomas

2017-12-01

Geographic information systems (GISs) are computer-based systems with which geographical data can be recorded, stored, managed, analyzed, visualized and provided. In recent years, they have become an integral part of public health research. They offer a broad range of analysis tools, which enable innovative solutions for health-related research questions. An analysis of nationwide studies that applied geographic information systems underlines the potential this instrument bears for health monitoring in Germany. Geographic information systems provide up-to-date mapping and visualization options to be used for national health monitoring at the Robert Koch Institute (RKI). Furthermore, objective information on the residential environment as an influencing factor on population health and on health behavior can be gathered and linked to RKI survey data at different geographic scales. Besides using physical information, such as climate, vegetation or land use, as well as information on the built environment, the instrument can link socioeconomic and sociodemographic data as well as information on health care and environmental stress to the survey data and integrate them into concepts for analyses. Therefore, geographic information systems expand the potential of the RKI to present nationwide, representative and meaningful health-monitoring results. In doing so, data protection regulations must always be followed. To conclude, the development of a national spatial data infrastructure and the identification of important data sources can prospectively improve access to high quality data sets that are relevant for the health monitoring.

General Purpose Data-Driven Online System Health Monitoring with Applications to Space Operations

Science.gov (United States)

Iverson, David L.; Spirkovska, Lilly; Schwabacher, Mark

2010-01-01

Modern space transportation and ground support system designs are becoming increasingly sophisticated and complex. Determining the health state of these systems using traditional parameter limit checking, or model-based or rule-based methods is becoming more difficult as the number of sensors and component interactions grows. Data-driven monitoring techniques have been developed to address these issues by analyzing system operations data to automatically characterize normal system behavior. System health can be monitored by comparing real-time operating data with these nominal characterizations, providing detection of anomalous data signatures indicative of system faults, failures, or precursors of significant failures. The Inductive Monitoring System (IMS) is a general purpose, data-driven system health monitoring software tool that has been successfully applied to several aerospace applications and is under evaluation for anomaly detection in vehicle and ground equipment for next generation launch systems. After an introduction to IMS application development, we discuss these NASA online monitoring applications, including the integration of IMS with complementary model-based and rule-based methods. Although the examples presented in this paper are from space operations applications, IMS is a general-purpose health-monitoring tool that is also applicable to power generation and transmission system monitoring.

Control charts for health care monitoring under intermittent out-of-control behavior

NARCIS (Netherlands)

Albers, Willem/Wim

Health care monitoring typically concerns attribute data with very low failure rates. Efficient control charts then signal if the waiting time till r (e.g. r≤5) failures is too small. An interesting alternative is the MAX-chart, which signals if all the associated r waiting times for a single

Control charts for health care monitoring under intermittent out-of-control behavior

NARCIS (Netherlands)

Albers, Willem/Wim

2011-01-01

Health care monitoring typically concerns attribute data with very low failure rates. Efficient control charts then signal if the waiting time till r (e.g. r≤5) failures is too small. An interesting alternative is the MAX-chart, which signals if all the associated r waiting times for a single

Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior.

Science.gov (United States)

Fontana, Juan M; Farooq, Muhammad; Sazonov, Edward

2014-06-01

Objective monitoring of food intake and ingestive behavior in a free-living environment remains an open problem that has significant implications in study and treatment of obesity and eating disorders. In this paper, a novel wearable sensor system (automatic ingestion monitor, AIM) is presented for objective monitoring of ingestive behavior in free living. The proposed device integrates three sensor modalities that wirelessly interface to a smartphone: a jaw motion sensor, a hand gesture sensor, and an accelerometer. A novel sensor fusion and pattern recognition method was developed for subject-independent food intake recognition. The device and the methodology were validated with data collected from 12 subjects wearing AIM during the course of 24 h in which both the daily activities and the food intake of the subjects were not restricted in any way. Results showed that the system was able to detect food intake with an average accuracy of 89.8%, which suggests that AIM can potentially be used as an instrument to monitor ingestive behavior in free-living individuals.

To track or not to track: user reactions to concepts in longitudinal health monitoring.

Science.gov (United States)

Beaudin, Jennifer S; Intille, Stephen S; Morris, Margaret E

2006-01-01

Advances in ubiquitous computing, smart homes, and sensor technologies enable novel, longitudinal health monitoring applications in the home. Many home monitoring technologies have been proposed to detect health crises, support aging-in-place, and improve medical care. Health professionals and potential end users in the lay public, however, sometimes question whether home health monitoring is justified given the cost and potential invasion of privacy. The aim of the study was to elicit specific feedback from health professionals and laypeople about how they might use longitudinal health monitoring data for proactive health and well-being. Interviews were conducted with 8 health professionals and 26 laypeople. Participants were asked to evaluate mock data visualization displays that could be generated by novel home monitoring systems. The mock displays were used to elicit reactions to longitudinal monitoring in the home setting as well as what behaviors, events, and physiological indicators people were interested in tracking. Based on the qualitative data provided by the interviews, lists of benefits of and concerns about health tracking from the perspectives of the practitioners and laypeople were compiled. Variables of particular interest to the interviewees, as well as their specific ideas for applications of collected data, were documented. Based upon these interviews, we recommend that ubiquitous "monitoring" systems may be more readily adopted if they are developed as tools for personalized, longitudinal self-investigation that help end users learn about the conditions and variables that impact their social, cognitive, and physical health.

The relationship between self-monitoring and organizational citizenship behavior

Energy Technology Data Exchange (ETDEWEB)

Blakely, G.L. [West Virginia Univ., Morgantown, WV (United States). Dept. of Management and Industrial Relations; Fuller, J. [West Virginia Univ., Morgantown, WV (United States). Dept. of Management and Industrial Relations]|[USDOE Morgantown Energy Technology Center, WV (United States); Smith, D.H. [USDOE Morgantown Energy Technology Center, WV (United States)

1996-10-01

Organizational citizenship behavior is behavior which is discretionary on the part of the individual, not recognized by the organizational reward system, yet contributes to the effectiveness of the organization. In this study the relationship between self-monitoring and organizational citizenship behavior was examined. Support was found for the hypothesis that individuals high in self-monitoring are also more likely to perform organizational citizenships behaviors. Implications for management and future research are discussed.

Gender Differences in Relations among Perceived Family Characteristics and Risky Health Behaviors in Urban Adolescents.

Science.gov (United States)

Nelson, Kimberly M; Carey, Kate B; Scott-Sheldon, Lori A J; Eckert, Tanya L; Park, Aesoon; Vanable, Peter A; Ewart, Craig K; Carey, Michael P

2017-06-01

Research regarding the role of gender in relations between family characteristics and health risk behaviors has been limited. This study aims to investigate gender differences in associations between family processes and risk-taking in adolescents. Adolescents (N = 249; mean age = 14.5 years) starting their first year at an urban high school in the northeastern USA completed self-report measures that assessed family characteristics (i.e., parental monitoring, family social support, family conflict) and health behaviors (i.e., tobacco use, alcohol use, marijuana use, sex initiation) as part of a prospective, community-based study. Multivariate logistic regression models were used to investigate gender differences in associations between the family characteristics and health behaviors. Among males, higher levels of perceived parental monitoring were associated with lower odds of using tobacco and having ever engaged in sex. Among females, higher levels of perceived parental monitoring were associated with lower odds of marijuana use, alcohol use, and having ever engaged in sex. However, in contrast to males, among females (a) higher levels of perceived family social support were associated with lower odds of alcohol use and having ever engaged in sex and (b) higher levels of perceived family conflict were associated with higher odds of marijuana use and having ever engaged in sex. Family processes were more strongly related to health behaviors among adolescent females than adolescent males. Interventions that increase parental monitoring and family social support as well as decrease family conflict may help to protect against adolescent risk taking, especially for females.

Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention

Directory of Open Access Journals (Sweden)

Wang J

2012-03-01

Full Text Available Jing Wang1, Susan M Sereika2,3, Eileen R Chasens2, Linda J Ewing4, Judith T Matthews2,5, Lora E Burke2,31School of Nursing, University of Texas Health Science Center at Houston, Houston, TX, 2School of Nursing, 3Graduate School of Public Health, 4School of Medicine, 5University Center for Social and Urban Research, University of Pittsburgh, Pittsburgh, PA, USABackground: Examination of mediating behavioral factors could explain how an intervention works and thus provide guidance to optimize behavioral weight-loss programs. This study examined the mediating role of adherence to self-monitoring of diet and physical activity on weight loss in a behavioral weight-loss trial testing the use of personal digital assistants (PDA for self-monitoring.Methods: Mediation analysis was conducted to examine the possible mediating role of adherence to self-monitoring of diet and physical activity between treatments using varying self-monitoring methods (paper record, PDA, and PDA with daily tailored feedback messages and weight loss.Findings: The sample (N = 210 was predominantly white (78% and female (85%. Compared to a paper record, using a PDA for self-monitoring diet (P = 0.027 and physical activity (P = 0.014 had significant direct effects on weight loss at 12 months, as well as a significant indirect effect on outcomes through improved adherence to self-monitoring (PS < 0.001. Receiving an automated daily feedback message via PDA only had a significant indirect effect on weight through self-monitoring adherence to diet (P = 0.004 and physical activity (P = 0.002.Conclusions: Adherence to self-monitoring of diet and physical activity is important as the underlying mechanism in this technology-supported behavioral weight-loss intervention.Keywords: behavioral intervention, self-monitoring, mobile technology, mediation analysis, weight loss, adherence 

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

Science.gov (United States)

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

2015-01-01

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

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

Science.gov (United States)

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

2015-01-01

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

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

Directory of Open Access Journals (Sweden)

Ahmad Reza Hosseinpoor

2015-09-01

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

Behavioral Informatics and Computational Modeling in Support of Proactive Health Management and Care.

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Pavel, Misha; Jimison, Holly B; Korhonen, Ilkka; Gordon, Christine M; Saranummi, Niilo

2015-12-01

Health-related behaviors are among the most significant determinants of health and quality of life. Improving health behavior is an effective way to enhance health outcomes and mitigate the escalating challenges arising from an increasingly aging population and the proliferation of chronic diseases. Although it has been difficult to obtain lasting improvements in health behaviors on a wide scale, advances at the intersection of technology and behavioral science may provide the tools to address this challenge. In this paper, we describe a vision and an approach to improve health behavior interventions using the tools of behavioral informatics, an emerging transdisciplinary research domain based on system-theoretic principles in combination with behavioral science and information technology. The field of behavioral informatics has the potential to optimize interventions through monitoring, assessing, and modeling behavior in support of providing tailored and timely interventions. We describe the components of a closed-loop system for health interventions. These components range from fine grain sensor characterizations to individual-based models of behavior change. We provide an example of a research health coaching platform that incorporates a closed-loop intervention based on these multiscale models. Using this early prototype, we illustrate how the optimized and personalized methodology and technology can support self-management and remote care. We note that despite the existing examples of research projects and our platform, significant future research is required to convert this vision to full-scale implementations.

Toward youth self-report of health and quality of life in population monitoring.

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Topolski, Tari D; Edwards, Todd C; Patrick, Donald L

2004-01-01

This paper addresses population monitoring of youth health and quality of life, including the concepts used, methodological and practical criteria for indicators, and existing surveys and measures. Current population surveys of youth generally focus on poor health, such as disability or health-risk behaviors. Although these are important end points, indicators of illness or risk do not reflect the health or life perspective of the majority of youth who do not experience health problems. The measures used to monitor youth health should be appropriate and sensitive to future needs and capture the perspectives of youths. Two potential concepts for this "scorecard" are self-perceived health and quality of life, which have been shown to be useful in adults. For youth, the quality of life framework seems particularly relevant as it incorporates both positive and negative aspects of health and well-being and also captures salient aspects of health other than physical health, such as sense of self, social relationships, environment and culture, and life satisfaction.

Adolescent health-risk behavior and community disorder.

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Sarah E Wiehe

Full Text Available Various forms of community disorder are associated with health outcomes but little is known about how dynamic context where an adolescent spends time relates to her health-related behaviors.Assess whether exposure to contexts associated with crime (as a marker of community disorder correlates with self-reported health-related behaviors among adolescent girls.Girls (N = 52, aged 14-17, were recruited from a single geographic urban area and monitored for 1 week using a GPS-enabled cell phone. Adolescents completed an audio computer-assisted self-administered interview survey on substance use (cigarette, alcohol, or marijuana use and sexual intercourse in the last 30 days. In addition to recorded home and school address, phones transmitted location data every 5 minutes (path points. Using ArcGIS, we defined community disorder as aggregated point-level Unified Crime Report data within a 200-meter Euclidian buffer from home, school and each path point. Using Stata, we analyzed how exposures to areas of higher crime prevalence differed among girls who reported each behavior or not.Participants lived and spent time in areas with variable crime prevalence within 200 meters of their home, school and path points. Significant differences in exposure occurred based on home location among girls who reported any substance use or not (p 0.04 and sexual intercourse or not (p 0.01. Differences in exposure by school and path points were only significant among girls reporting any substance use or not (p 0.03 and 0.02, respectively. Exposure also varied by school/non-school day as well as time of day.Adolescent travel patterns are not random. Furthermore, the crime context where an adolescent spends time relates to her health-related behavior. These data may guide policy relating to crime control and inform time- and space-specific interventions to improve adolescent health.

Relationship between Discordance in Parental Monitoring and Behavioral Problems among Chilean Adolescents

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Han, Yoonsun; Grogan-Kaylor, Andrew; Bares, Cristina; Ma, Julie; Castillo, Marcela; Delva, Jorge

2012-01-01

This study investigated the role of discrepancies between parent and youth reports of perceived parental monitoring in adolescent problem behaviors with a Chilean sample (N= 850). Higher levels of discordance concerning parental monitoring predicted greater levels of maladaptive youth behaviors. A positive association between parent-youth discordance and externalizing problems indicated that large adult-youth disagreement in parental monitoring may impose a great risk, despite protective efforts of parental monitoring. Although the direct relationship between parental monitoring and youth internalizing behaviors was not significant, parent-youth incongruence in monitoring was associated with greater levels of internalizing behaviors. Therefore, differing assessments of parental behaviors, as an indicator of less optimal family functioning, may provide important information about youth maladjustment and may potentially provide a beginning point for family-focused intervention. PMID:23097593

Health behaviors of postmenopausal women

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Maria Jasińska

2014-03-01

Full Text Available Introduction: Health status and health-related quality of life of postmenopausal women are issues, which nowadays pose a serious challenge to many domains of science. Climacteric symptoms which occur at this stage of life, lower its quality and make a negative contribution to self-reported health status, are mostly observed in a particular group of women. Evaluation of health behaviors performed using a standardized questionnaire, the Health Behavior Inventory (HBI, may help establish a comprehensive diagnosis of women’s health, and thus select effective interventions. A systemic approach to menopause assumes that full fitness of women and good quality of their lives can be maintained not only by means of pharmacotherapy but also other forms of action, especially health education oriented towards changes in the lifestyle and promotion of healthy behaviors. The aim of this study is to perform a HBI-based assessment of women’s health behaviors in such categories as healthy eating habits (HEH, preventive behaviors (PB, positive mental attitudes (PMA, and health practices (HP. Material and methods: The study involved 151 healthy postmenopausal women. A research tool was a standardized questionnaire, the Health Behavior Inventory (HBI. Results: The surveyed women obtained 70% of the maximum score on average, which suggests a medium level of health behaviors in this group. The levels of health behaviors in the categories of positive mental attitudes and health practices significantly differed between older women and their younger counterparts (higher levels were observed among older respondents. There were also significant differences in the levels of healthy behaviors between women with secondary and higher education (those better educated declared healthy behaviors more often. There was no correlation between the level of health behaviors and the BMI of the surveyed women. Conclusions : Older women attached greater

Self-Monitoring with a Twist: Using Cell Phones to CellF-Monitor On-Task Behavior

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Bedesem, Peña L.; Dieker, Lisa A.

2014-01-01

Self-monitoring is regarded throughout the literature as an effective classroom intervention. Researchers have used self-monitoring interventions to improve school-related behavior of students with varying disabilities across a variety of settings. Although research supports the use of self-monitoring, traditional self-monitoring techniques may be…

Risky music-listening behaviors and associated health-risk behaviors.

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Vogel, Ineke; van de Looij-Jansen, Petra M; Mieloo, Cathelijne L; Burdorf, Alex; de Waart, Frouwkje

2012-06-01

To examine, among adolescents and emerging adults attending inner-city lower education, associations between risky music-listening behaviors (from MP3 players and in discotheques and at pop concerts) and more traditional health-risk behaviors: substance use (cigarettes, alcohol, cannabis, and hard drugs) and unsafe sexual intercourse. A total of 944 students in Dutch inner-city senior-secondary vocational schools completed questionnaires about their music-listening and traditional health-risk behaviors. Multiple logistic regression analyses were used to examine associations between music-listening and traditional health-risk behaviors. Risky MP3-player listeners used cannabis more often during the past 4 weeks. Students exposed to risky sound levels during discotheque and pop concert attendance used cannabis less often during the past 4 weeks, were more often binge drinkers, and reported inconsistent condom use during sexual intercourse. The coexistence of risky music-listening behaviors with other health-risk behaviors provides evidence in support of the integration of risky music-listening behaviors within research on and programs aimed at reducing more traditional health-risk behaviors, such as substance abuse and unsafe sexual intercourse.

Lunar Health Monitor (LHM)

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Lisy, Frederick J.

2015-01-01

Orbital Research, Inc., has developed a low-profile, wearable sensor suite for monitoring astronaut health in both intravehicular and extravehicular activities. The Lunar Health Monitor measures respiration, body temperature, electrocardiogram (EKG) heart rate, and other cardiac functions. Orbital Research's dry recording electrode is central to the innovation and can be incorporated into garments, eliminating the need for conductive pastes, adhesives, or gels. The patented dry recording electrode has been approved by the U.S. Food and Drug Administration. The LHM is easily worn under flight gear or with civilian clothing, making the system completely versatile for applications where continuous physiological monitoring is needed. During Phase II, Orbital Research developed a second-generation LHM that allows sensor customization for specific monitoring applications and anatomical constraints. Evaluations included graded exercise tests, lunar mission task simulations, functional battery tests, and resting measures. The LHM represents the successful integration of sensors into a wearable platform to capture long-duration and ambulatory physiological markers.

eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management.

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Rollo, Megan E; Aguiar, Elroy J; Williams, Rebecca L; Wynne, Katie; Kriss, Michelle; Callister, Robin; Collins, Clare E

2016-01-01

Diabetes is a chronic, complex condition requiring sound knowledge and self-management skills to optimize glycemic control and health outcomes. Dietary intake and physical activity are key diabetes self-management (DSM) behaviors that require tailored education and support. Electronic health (eHealth) technologies have a demonstrated potential for assisting individuals with DSM behaviors. This review provides examples of technologies used to support nutrition and physical activity behaviors in the context of DSM. Technologies covered include those widely used for DSM, such as web-based programs and mobile phone and smartphone applications. In addition, examples of novel tools such as virtual and augmented reality, video games, computer vision for dietary carbohydrate monitoring, and wearable devices are provided. The challenges to, and facilitators for, the use of eHealth technologies in DSM are discussed. Strategies to support the implementation of eHealth technologies within practice and suggestions for future research to enhance nutrition and physical activity behaviors as a part of broader DSM are provided.

Parental monitoring and knowledge: Testing bidirectional associations with youths’ antisocial behavior

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Wertz, Jasmin; Nottingham, Kate; Agnew-Blais, Jessica; Matthews, Timothy; Pariante, Carmine M.; Moffitt, Terrie E.; Arseneault, Louise

2017-01-01

In the present study, we used separate measures of parental monitoring and parental knowledge and compared their associations with youths’ antisocial behavior during preadolescence, between the ages of 10 and 12. Parental monitoring and knowledge were reported by mothers, fathers and youths taking part in the Environmental Risk (E-Risk) Longitudinal Twin Study which follows 1,116 families with twins. Information on youths’ antisocial behavior was obtained from mothers, as well as teachers. We report two main findings: First, longitudinal cross-lagged models revealed that greater parental monitoring did not predict less antisocial behavior later, once family characteristics were taken into account. Second, greater youth antisocial behavior predicted less parental knowledge later. This effect of youths’ behavior on parents’ knowledge was consistent across mothers’, fathers’, youths’, and teachers’ reports, and robust to controls for family confounders. The association was partially genetically-mediated according to a Cholesky decomposition twin model; youths’ genetically-influenced antisocial behavior led to a decrease in parents’ knowledge of youths’ activities. These two findings question the assumption that greater parental monitoring can reduce preadolescents’ antisocial behavior. They also indicate that parents’ knowledge of their children’s activities is influenced by youths’ behavior. PMID:27427796

Parental monitoring and knowledge: Testing bidirectional associations with youths' antisocial behavior.

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Wertz, Jasmin; Nottingham, Kate; Agnew-Blais, Jessica; Matthews, Timothy; Pariante, Carmine M; Moffitt, Terrie E; Arseneault, Louise

2016-08-01

In the present study, we used separate measures of parental monitoring and parental knowledge and compared their associations with youths' antisocial behavior during preadolescence, between the ages of 10 and 12. Parental monitoring and knowledge were reported by mothers, fathers, and youths taking part in the Environmental Risk (E-Risk) Longitudinal Twin Study that follows 1,116 families with twins. Information on youths' antisocial behavior was obtained from mothers as well as teachers. We report two main findings. First, longitudinal cross-lagged models revealed that greater parental monitoring did not predict less antisocial behavior later, once family characteristics were taken into account. Second, greater youth antisocial behavior predicted less parental knowledge later. This effect of youths' behavior on parents' knowledge was consistent across mothers', fathers', youths', and teachers' reports, and robust to controls for family confounders. The association was partially genetically mediated according to a Cholesky decomposition twin model; youths' genetically influenced antisocial behavior led to a decrease in parents' knowledge of youths' activities. These two findings question the assumption that greater parental monitoring can reduce preadolescents' antisocial behavior. They also indicate that parents' knowledge of their children's activities is influenced by youths' behavior.

Metabolic monitoring in New Zealand district health board mental health services.

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Staveley, Aimee; Soosay, Ian; O'Brien, Anthony J

2017-11-10

To audit New Zealand district health boards' (DHBs) metabolic monitoring policies in relation to consumers prescribed second-generation antipsychotic medications using a best practice guideline. Metabolic monitoring policies from DHBs and one private clinic were analysed in relation to a best practice standard developed from the current literature and published guidelines relevant to metabolic syndrome. Fourteen of New Zealand's 20 DHBs currently have metabolic monitoring policies for consumers prescribed antipsychotic medication. Two of those policies are consistent with the literature-based guideline. Eight policies include actions to be taken when consumers meet criteria for metabolic syndrome. Four DHBs have systems for measuring their rates of metabolic monitoring. There is no consensus on who is clinically responsible for metabolic monitoring. Metabolic monitoring by mental health services in New Zealand reflects international experience that current levels of monitoring are low and policies are not always in place. Collaboration across the mental health and primary care sectors together with the adoption of a consensus guideline is needed to improve rates of monitoring and reduce current rates of physical health morbidities.

National health inequality monitoring: current challenges and opportunities.

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

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

Health Care Waste Segregation Behavior among Health Workers in Uganda: An Application of the Theory of Planned Behavior.

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Akulume, Martha; Kiwanuka, Suzanne N

2016-01-01

Objective . The goal of this study was to assess the appropriateness of the theory of planned behavior in predicting health care waste segregation behaviors and to examine the factors that influence waste segregation behaviors. Methodology . One hundred and sixty-three health workers completed a self-administered questionnaire in a cross-sectional survey that examined the theory of planned behavior constructs (attitudes, subjective norms, perceived behavioral control, and intention) and external variables (sociodemographic factors, personal characteristics, organizational characteristics, professional characteristics, and moral obligation). Results . For their most recent client 21.5% of the health workers reported that they most definitely segregated health care waste while 5.5% did not segregate. All the theory of planned behavior constructs were significant predictors of health workers' segregation behavior, but intention emerged as the strongest and most significant ( r = 0.524, P theory of planned behavior model explained 52.5% of the variance in health workers' segregation behavior. When external variables were added, the new model explained 66.7% of the variance in behavior. Conclusion . Generally, health workers' health care waste segregation behavior was high. The theory of planned behavior significantly predicted health workers' health care waste segregation behaviors.

Lunar Health Monitor, Phase II

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National Aeronautics and Space Administration — During the Phase II Lunar Health Monitor program, Orbital Research will develop a second generation wearable sensor suite for astronaut physiologic monitoring. The...

Comparing Multi-Informant Assessment Measures of Parental Monitoring and Their Links with Adolescent Delinquent Behavior

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Augenstein, Tara M.; Thomas, Sarah A.; Ehrlich, Katherine B.; Daruwala, Samantha; Reyes, Shelby M.; Chrabaszcz, Jeffrey S.; De Los Reyes, Andres

2016-01-01

SYNOPSIS Objective Parents’ poor monitoring of adolescents’ whereabouts and activities is commonly linked to adolescents’ increased engagement in delinquent behaviors. Yet, different domains of parental monitoring (parental monitoring behaviors vs. parental knowledge) and reports from multiple informants (parent vs. adolescent) may vary in their links to delinquent behavior. Design Seventy-four parental caregivers and 74 adolescents completed survey measures of parental monitoring and knowledge, and adolescents completed self-report surveys of delinquent behavior. Results We observed low-to-moderate magnitudes of correspondence between parent- and adolescent-reports of parental monitoring behaviors and parental knowledge. Adolescent self-reported delinquent behavior related to parent and adolescent reports of parental monitoring behaviors and parental knowledge, with adolescents who self-reported engagement in delinquent behaviors evidencing lower levels of parental knowledge and higher levels of poor monitoring compared to adolescents who did not self-report engagement in delinquent behaviors. Adolescent self-reported engagement in delinquent behaviors evidenced stronger links to parental monitoring when based on adolescent reports of monitoring (relative to parent reports), whereas stronger links held between adolescent self-reported delinquent behavior and parental knowledge when based on parent reports of knowledge (relative to adolescent reports). Conclusions Links between monitoring and adolescents’ delinquent behavior vary by the kind of monitoring measure completed as well as the informant completing the measure. These findings inform measurement selection in research and clinical assessments of parental monitoring and adolescent delinquent behavior. PMID:27482171

Health lifestyle behaviors among U.S. adults

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Jarron M. Saint Onge

2017-12-01

Full Text Available Existing research that studies individual health behaviors and conceive of behaviors as simplistically reflecting narrow intentions toward health may obscure the social organization of health behaviors. Instead, we examine how eight health behaviors group together to form distinct health behavior niches. Using nationally-representative data from U.S. adults aged 18 and over from the 2004–2009 National Health Interview Survey (NHIS, we use Latent Class Analysis to identify classes of behavior based on smoking status, alcohol use, physical activity, physician visits, and flu vaccination. We identify 7 distinct health behavior classes including concordant health promoting (44%, concordant health compromising (26%, and discordant classes (30%. We find significant race/ethnic, sex, regional, and age differences in class membership. We show that health behavior classes are associated with prospective mortality, suggesting that they are valid representations of health lifestyles. We discuss the implications of our results for sociological theories of health behaviors, as well as for multiple behavior interventions seeking to improve population health.

Integration of computer imaging and sensor data for structural health monitoring of bridges

International Nuclear Information System (INIS)

Zaurin, R; Catbas, F N

2010-01-01

The condition of civil infrastructure systems (CIS) changes over their life cycle for different reasons such as damage, overloading, severe environmental inputs, and ageing due normal continued use. The structural performance often decreases as a result of the change in condition. Objective condition assessment and performance evaluation are challenging activities since they require some type of monitoring to track the response over a period of time. In this paper, integrated use of video images and sensor data in the context of structural health monitoring is demonstrated as promising technologies for the safety of civil structures in general and bridges in particular. First, the challenges and possible solutions to using video images and computer vision techniques for structural health monitoring are presented. Then, the synchronized image and sensing data are analyzed to obtain unit influence line (UIL) as an index for monitoring bridge behavior under identified loading conditions. Subsequently, the UCF 4-span bridge model is used to demonstrate the integration and implementation of imaging devices and traditional sensing technology with UIL for evaluating and tracking the bridge behavior. It is shown that video images and computer vision techniques can be used to detect, classify and track different vehicles with synchronized sensor measurements to establish an input–output relationship to determine the normalized response of the bridge

Health Care Waste Segregation Behavior among Health Workers in Uganda: An Application of the Theory of Planned Behavior

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Martha Akulume

2016-01-01

Full Text Available Objective. The goal of this study was to assess the appropriateness of the theory of planned behavior in predicting health care waste segregation behaviors and to examine the factors that influence waste segregation behaviors. Methodology. One hundred and sixty-three health workers completed a self-administered questionnaire in a cross-sectional survey that examined the theory of planned behavior constructs (attitudes, subjective norms, perceived behavioral control, and intention and external variables (sociodemographic factors, personal characteristics, organizational characteristics, professional characteristics, and moral obligation. Results. For their most recent client 21.5% of the health workers reported that they most definitely segregated health care waste while 5.5% did not segregate. All the theory of planned behavior constructs were significant predictors of health workers’ segregation behavior, but intention emerged as the strongest and most significant (r=0.524, P<0.001. The theory of planned behavior model explained 52.5% of the variance in health workers’ segregation behavior. When external variables were added, the new model explained 66.7% of the variance in behavior. Conclusion. Generally, health workers’ health care waste segregation behavior was high. The theory of planned behavior significantly predicted health workers’ health care waste segregation behaviors.

Behavioral Health and Performance (BHP) Work-Rest Cycles

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Leveton, Lauren B.; Whitmire, Alexandra

2011-01-01

BHP Program Element Goal: Identify, characterize, and prevent or reduce behavioral health and performance risks associated with space travel, exploration and return to terrestrial life. BHP Requirements: a) Characterize and assess risks (e.g., likelihood and consequences). b) Develop tools and technologies to prevent, monitor, and treat adverse outcomes. c) Inform standards. d) Develop technologies to: 1) reduce risks and human systems resource requirements (e.g., crew time, mass, volume, power) and 2) ensure effective human-system integration across exploration mission.

The behavioral economics of health and health care.

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Rice, Thomas

2013-01-01

People often make decisions in health care that are not in their best interest, ranging from failing to enroll in health insurance to which they are entitled, to engaging in extremely harmful behaviors. Traditional economic theory provides a limited tool kit for improving behavior because it assumes that people make decisions in a rational way, have the mental capacity to deal with huge amounts of information and choice, and have tastes endemic to them and not open to manipulation. Melding economics with psychology, behavioral economics acknowledges that people often do not act rationally in the economic sense. It therefore offers a potentially richer set of tools than provided by traditional economic theory to understand and influence behaviors. Only recently, however, has it been applied to health care. This article provides an overview of behavioral economics, reviews some of its contributions, and shows how it can be used in health care to improve people's decisions and health.

International Symposium on Monitoring Behavior and Supervisory Control

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Johannsen, Gunnar

1976-01-01

This book includes all papers presented at the International Symposium on Monitoring Behavior and Supervisory Control held at Berchtesgaden, Federal Republic of Germany, March 8-12, 1976. The Symposium was sponsored by the Scientific Affairs Division of the North Atlantic Treaty Organization, Brussels, and the government of the Federal Republic of Germany, Bonn. We believe the book constitutes an important and timely status report on monitoring behavior and supervisory control by human operators of complex man-machine systems in which the computer is sharing key functions with the man. These systems include aircraft and other vehicles, nuclear and more conventional power plants, and processes for the manu­ facture of chemicals, petroleum, and discrete parts. By "monitoring" we mean the systematic observation by a human operator of mul tiple sources of information, e. g. , ranging from integrated display consoles to disparate "live situations". The monitor's purpose is to determine whether operations are norm...

How behavioral science can advance digital health.

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Pagoto, Sherry; Bennett, Gary G

2013-09-01

The field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system.

Automated Cognitive Health Assessment From Smart Home-Based Behavior Data.

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Dawadi, Prafulla Nath; Cook, Diane Joyce; Schmitter-Edgecombe, Maureen

2016-07-01

Smart home technologies offer potential benefits for assisting clinicians by automating health monitoring and well-being assessment. In this paper, we examine the actual benefits of smart home-based analysis by monitoring daily behavior in the home and predicting clinical scores of the residents. To accomplish this goal, we propose a clinical assessment using activity behavior (CAAB) approach to model a smart home resident's daily behavior and predict the corresponding clinical scores. CAAB uses statistical features that describe characteristics of a resident's daily activity performance to train machine learning algorithms that predict the clinical scores. We evaluate the performance of CAAB utilizing smart home sensor data collected from 18 smart homes over two years. We obtain a statistically significant correlation ( r=0.72) between CAAB-predicted and clinician-provided cognitive scores and a statistically significant correlation ( r=0.45) between CAAB-predicted and clinician-provided mobility scores. These prediction results suggest that it is feasible to predict clinical scores using smart home sensor data and learning-based data analysis.

Behavioral Health Services in the Changing Landscape of Private Health Plans.

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Horgan, Constance M; Stewart, Maureen T; Reif, Sharon; Garnick, Deborah W; Hodgkin, Dominic; Merrick, Elizabeth L; Quinn, Amity E

2016-06-01

Health plans play a key role in facilitating improvements in population health and may engage in activities that have an impact on access, cost, and quality of behavioral health care. Although behavioral health care is becoming more integrated with general medical care, its delivery system has unique aspects. The study examined how health plans deliver and manage behavioral health care in the context of the Affordable Care Act (ACA) and the 2008 Mental Health Parity and Addiction Equity Act (MHPAEA). This is a critical time to examine how health plans manage behavioral health care. A nationally representative survey of private health plans (weighted N=8,431 products; 89% response rate) was conducted in 2010 during the first year of MHPAEA, when plans were subject to the law but before final regulations, and just before the ACA went into effect. The survey addressed behavioral health coverage, cost-sharing, contracting arrangements, medical home innovations, support for technology, and financial incentives to improve behavioral health care. Coverage for inpatient and outpatient behavioral health services was stable between 2003 and 2010. In 2010, health plans were more likely than in 2003 to manage behavioral health care through internal arrangements and to contract for other services. Medical home initiatives were common and almost always included behavioral health, but financial incentives did not. Some plans facilitated providers' use of technology to improve care delivery, but this was not the norm. Health plans are key to mainstreaming and supporting delivery of high-quality behavioral health services. Since 2003, plans have made changes to support delivery of behavioral health services in the context of a rapidly changing environment.

ACADEMIC YOUTH’S HEALTH BEHAVIOR

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Agnieszka Radzimińska

2016-12-01

Full Text Available Introduction: A very important role in the protection of human health is their life style, their habits and patterns of conduct. Early adulthood is the best period to achieve long-term benefits from a selection of healthy living. However, the results of studies on health-related behavior of youth in Poland and in the world are not satisfactory. The purpose of the study: The purpose of the research was to assess the health behaviors of students of higher education in Bydgoszcz. Material: The study involved 272 students (124 women and 148 men Bydgoszcz higher education students in the following fields of study: physiotherapy, nutrition, logistics and national security. The Inventory of Health-Related Behavior by Zygfryd Juczyński has been used in the research. The statistical analysis was performed using the package PQ Stat 1.6.2. Results: Throughout the treatment group an average level of health-related behavior has been shown. The results of the different categories of health-related behavior were lower than the results of the standardization groups. A higher level of health behavior has been shown in a group of medical students compared to non-medical students. The results for women were higher than men's results. Conclusions: The results of personal research and the research findings of other authors demonstrate that there is a need for implementation of programs of health promotion and health education in all fields of study.

Hybrid Modeling Improves Health and Performance Monitoring

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2007-01-01

Scientific Monitoring Inc. was awarded a Phase I Small Business Innovation Research (SBIR) project by NASA's Dryden Flight Research Center to create a new, simplified health-monitoring approach for flight vehicles and flight equipment. The project developed a hybrid physical model concept that provided a structured approach to simplifying complex design models for use in health monitoring, allowing the output or performance of the equipment to be compared to what the design models predicted, so that deterioration or impending failure could be detected before there would be an impact on the equipment's operational capability. Based on the original modeling technology, Scientific Monitoring released I-Trend, a commercial health- and performance-monitoring software product named for its intelligent trending, diagnostics, and prognostics capabilities, as part of the company's complete ICEMS (Intelligent Condition-based Equipment Management System) suite of monitoring and advanced alerting software. I-Trend uses the hybrid physical model to better characterize the nature of health or performance alarms that result in "no fault found" false alarms. Additionally, the use of physical principles helps I-Trend identify problems sooner. I-Trend technology is currently in use in several commercial aviation programs, and the U.S. Air Force recently tapped Scientific Monitoring to develop next-generation engine health-management software for monitoring its fleet of jet engines. Scientific Monitoring has continued the original NASA work, this time under a Phase III SBIR contract with a joint NASA-Pratt & Whitney aviation security program on propulsion-controlled aircraft under missile-damaged aircraft conditions.

Test-bed for the remote health monitoring system for bridge structures using FBG sensors

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Lee, Chin-Hyung; Park, Ki-Tae; Joo, Bong-Chul; Hwang, Yoon-Koog

2009-05-01

This paper reports on test-bed for the long-term health monitoring system for bridge structures employing fiber Bragg grating (FBG) sensors, which is remotely accessible via the web, to provide real-time quantitative information on a bridge's response to live loading and environmental changes, and fast prediction of the structure's integrity. The sensors are attached on several locations of the structure and connected to a data acquisition system permanently installed onsite. The system can be accessed through remote communication using an optical cable network, through which the evaluation of the bridge behavior under live loading can be allowed at place far away from the field. Live structural data are transmitted continuously to the server computer at the central office. The server computer is connected securely to the internet, where data can be retrieved, processed and stored for the remote web-based health monitoring. Test-bed revealed that the remote health monitoring technology will enable practical, cost-effective, and reliable condition assessment and maintenance of bridge structures.

Fatigue evaluation for Tsing Ma Bridge using structural health monitoring data

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

2001-08-01

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

System health monitoring

International Nuclear Information System (INIS)

Reneke, J.A.; Fryer, M.O.

1995-01-01

Well designed large systems include many instrument taking data. These data are used in a variety of ways. They are used to control the system and its components, to monitor system and component health, and often for historical or financial purposes. This paper discusses a new method of using data from low level instrumentation to monitor system and component health. The method uses the covariance of instrument outputs to calculate a measure of system change. The method involves no complicated modeling since it is not a parameter estimation algorithm. The method is iterative and can be implemented on a computer in real time. Examples are presented for a metal lathe and a high efficiency particulate air (HEPA) filter. It is shown that the proposed method is quite sensitive to system changes such as wear out and failure. The method is useful for low level system diagnostics and fault detection

Individualized Behavioral Health Monitoring Tool, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — Given the extended duration of future missions and the isolated, extreme and confined environments, there is the possibility that behavioral conditions and mental...

Networked Biomedical System for Ubiquitous Health Monitoring

Directory of Open Access Journals (Sweden)

Arjan Durresi

2008-01-01

Full Text Available We propose a distributed system that enables global and ubiquitous health monitoring of patients. The biomedical data will be collected by wearable health diagnostic devices, which will include various types of sensors and will be transmitted towards the corresponding Health Monitoring Centers. The permanent medical data of patients will be kept in the corresponding Home Data Bases, while the measured biomedical data will be sent to the Visitor Health Monitor Center and Visitor Data Base that serves the area of present location of the patient. By combining the measured biomedical data and the permanent medical data, Health Medical Centers will be able to coordinate the needed actions and help the local medical teams to make quickly the best decisions that could be crucial for the patient health, and that can reduce the cost of health service.

Responsible leader behavior in health sectors.

Science.gov (United States)

Longest, Beaufort

2017-02-06

Purpose The purpose of this paper is to expand attention to responsible leader behavior in the world's health sectors by explaining how this concept applies to health sectors, considering why health sector leaders should behave responsibly, reviewing how they can do so, and asserting potential impact through an applied example. Design/methodology/approach This paper is a viewpoint, reflecting conceptualizations rooted in leadership literature which are then specifically applied to health sectors. A definition of responsible leader behavior is affirmed and applied specifically in health sectors. Conceptualizations and viewpoints about practice of responsible leader behavior in health sectors and potential consequences are then discussed and asserted. Findings Leadership failures and debacles found in health, but more so in other sectors, have led leadership researchers to offer insights, many of them empirical, into the challenges of leadership especially by more clearly delineating responsible leader behavior. Practical implications Much of what has been learned in the research about responsible leader behavior offers pathways for health sector leaders to more fully practice responsible leadership. Social implications This paper asserts and provides a supporting example that greater levels of responsible leader behavior in health sectors hold potentially important societal benefits. Originality/value This paper is the first to apply emerging conceptualizations and early empirical findings about responsible leader behavior specifically to leaders in health sectors.

Modifying and developing health behavior.

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Green, L W

1984-01-01

The literatures on both behavior modification and behavioral development have engendered innovations in public health programs, addressing problems of patient adherance to preventive and therapeutic regimens, delay in seeking diagnosis of illness symptoms, risk-taking behavior, and other aspects of lifestyle associated with health. Because most of this literature derives from psychology, there has been a distinct bias in the construction of interventions, pointing them directly at individuals, usually in a counseling or small group mode of delivery. These developments served public health well enough during a decade or so when the preoccupation was with utilization of health services and medical management of chronic diseases. With the publication of the Lalonde Report in Canada in 1974, the passage of Public Law 94-317 in 1976 in the United States, and similar initiatives in other English-speaking and European countries, the recognition of the greater complexities of lifestyle development and modification in the absence of symptoms has taken hold. Policy makers and public health workers seek a more efficient and equitable set of strategies to meet the behavioral health challenges of modern society without placing the entire weight of responsibility for behavior on the individual or on therapeutic practitioners. Concurrently, on a more global scale and in the developing countries, a concern has emerged for strategies that give individuals, families, and communities a greater role in deciding their own health priorities. The convergence of these two trends--one seeking to distribute responsibility for lifestyle more equitably and the other seeking to distribute responsibility for planning health programs more equitably --calls for policies, strategies, and interventions that will place similar emphasis on health education and organizational, economic, and environmental supports for health behavior. The combination of these elements of support for behavior calls, in

Privacy by design in personal health monitoring.

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Nordgren, Anders

2015-06-01

The concept of privacy by design is becoming increasingly popular among regulators of information and communications technologies. This paper aims at analysing and discussing the ethical implications of this concept for personal health monitoring. I assume a privacy theory of restricted access and limited control. On the basis of this theory, I suggest a version of the concept of privacy by design that constitutes a middle road between what I call broad privacy by design and narrow privacy by design. The key feature of this approach is that it attempts to balance automated privacy protection and autonomously chosen privacy protection in a way that is context-sensitive. In personal health monitoring, this approach implies that in some contexts like medication assistance and monitoring of specific health parameters one single automatic option is legitimate, while in some other contexts, for example monitoring in which relatives are receivers of health-relevant information rather than health care professionals, a multi-choice approach stressing autonomy is warranted.

Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome

DEFF Research Database (Denmark)

Doryab, Afsaneh; Frost, Mads; Faurholt-Jepsen, Maria

2015-01-01

An increasing number of healthcare systems allow people to monitor behavior and provide feedback on health and wellness. Most applications, however, only offer feedback on behavior in form of visualization and data summaries. This paper presents a different approach—called impact factor analysis—...... in monitoring and control of mental illness, and we argue that the impact factor analysis can be useful in the design of other health and wellness systems....... ten bipolar patients, in which we were able to estimate mood values with an average mean absolute error of 0.5. This was used to rank the behavior parameters whose variations indicate changes in the mental state. The rankings acquired from our algorithms correspond to the patients’ rankings......, identifying physical activity and sleep as the highest impact parameters. These results revealed the feasibility of identifying behavioral impact factors. This data analysis motivated us to design an impact factor inference engine as part of the MONARCA system. To our knowledge, this is a novel approach...

Physical health monitoring in mental health settings: a study exploring mental health nurses' views of their role.

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Mwebe, Herbert

2017-10-01

To explore nurses' views of their role in the screening and monitoring of the physical care needs of people with serious mental illness in a mental health service provider. There is increasing awareness through research that people with serious mental illness disproportionately experience and die early from physical health conditions. Mental health nurses are best placed as front-line workers to offer screening, monitoring and interventions; however, their views on physical care interventions are not studied often. Qualitative exploratory study. The study was carried out in a mental health inpatient centre in England. Volunteer sampling was adopted for the study with a total target sample of (n = 20) nurses from three inpatient wards. Semistructured interviews were conducted with (n = 10) registered mental health nurses who had consented to take part in the study. Inductive data analysis and theme development were guided by a thematic analytic framework. Participants shared a clear commitment regarding their role regarding physical health screening and monitoring in mental health settings. Four themes emerged as follows: features of current practice and physical health monitoring; perceived barriers to physical health monitoring; education and training needs; and strategies to improve physical health monitoring. Nurses were unequivocal in their resolve to ensure good standard physical health monitoring and screening interventions in practice. However, identified obstacles have to be addressed to ensure that physical health screening and monitoring is integrated adequately in everyday clinical activities. Achieving this would require improvements in nurses' training, and an integrated multiservice and team-working approach. Attending to the physical health needs of people with serious mental illness has been associated with multiple improvements in both mental and physical health; nurses have a vital role to play in identifying and addressing causes of poor

Forest health monitoring: 2008 national technical report

Science.gov (United States)

Kevin M. Potter; Barbara L. Conkling

2012-01-01

The Forest Health Monitoring (FHM) Program’s annual national technical report has three objectives: (1) to present forest health status and trends from a national or a multi-State regional perspective using a variety of sources, (2) to introduce new techniques for analyzing forest health data, and (3) to report results of recently completed evaluation monitoring...

Design of wearable health monitoring device

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Devara, Kresna; Ramadhanty, Savira; Abuzairi, Tomy

2018-02-01

Wearable smart health monitoring devices have attracted considerable attention in both research community and industry. Some of the causes are the increasing healthcare costs, along with the growing technology. To address this demand, in this paper, design and evaluation of wearable health monitoring device integrated with smartphone were presented. This device was designed for patients in need of constant health monitoring. The performance of the proposed design has been tested by conducting measurement once in 2 minutes for 10 minutes to obtain heart rate and body temperature data. The comparation between data measured by the proposed device and that measured by the reference device yields only an average error of 1.45% for heart rate and 1.04% for body temperature.

External Monitoring and Dynamic Behavior in Mutual Funds

Directory of Open Access Journals (Sweden)

Jian Wang

2016-01-01

Full Text Available This paper studies the impact of external monitoring on the behavior in mutual funds. Specifically, we investigate how and why external monitoring can alleviate contracting inefficiency caused by information asymmetry between investors and the manager. It is shown that efficiency loss emerges when investors contract with the manager just relying on her investment return history. The establishment of external monitoring that provides investors more information about the manager’s ability can improve contracting efficiency, which converges to first-best as external monitoring strengthens. These results provide strong support for tightening supervision in mutual fund industry.

Movement Behaviors in Children and Indicators of Adverse Health

DEFF Research Database (Denmark)

Hjorth, Mads Fiil

The prevalence of overweight children is high and increasing numbers of children now show features of metabolic syndrome. Various aspects of physical activity, sedentary behavior, and lack of good-quality sleep have all been linked to this recent development of overweight and cardio-metabolic risk...... at reducing obesity and its associated metabolic complications in adulthood. In my PhD thesis I assessed objectively measured physical activity, sedentary behavior, and sleep in 8- to 11-year-old Danish children and related these movement behaviors to indicators of adverse health (dietary intake, adiposity......, and cardio-metabolic risk markers). Firstly, findings indicated that waist-worn accelerometers could be used to obtain a proxy measure of sleep duration meaning that monitoring of physical activity and sleep could be done by a single accelerometer worn on the waist for 24-hours a day. Secondly, most...

Health Monitoring System Technology Assessments: Cost Benefits Analysis

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Kent, Renee M.; Murphy, Dennis A.

2000-01-01

The subject of sensor-based structural health monitoring is very diverse and encompasses a wide range of activities including initiatives and innovations involving the development of advanced sensor, signal processing, data analysis, and actuation and control technologies. In addition, it embraces the consideration of the availability of low-cost, high-quality contributing technologies, computational utilities, and hardware and software resources that enable the operational realization of robust health monitoring technologies. This report presents a detailed analysis of the cost benefit and other logistics and operational considerations associated with the implementation and utilization of sensor-based technologies for use in aerospace structure health monitoring. The scope of this volume is to assess the economic impact, from an end-user perspective, implementation health monitoring technologies on three structures. It specifically focuses on evaluating the impact on maintaining and supporting these structures with and without health monitoring capability.

Behavioral health leadership: new directions in occupational mental health.

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Adler, Amy B; Saboe, Kristin N; Anderson, James; Sipos, Maurice L; Thomas, Jeffrey L

2014-10-01

The impact of stress on mental health in high-risk occupations may be mitigated by organizational factors such as leadership. Studies have documented the impact of general leadership skills on employee performance and mental health. Other researchers have begun examining specific leadership domains that address relevant organizational outcomes, such as safety climate leadership. One emerging approach focuses on domain-specific leadership behaviors that may moderate the impact of combat deployment on mental health. In a recent study, US soldiers deployed to Afghanistan rated leaders on behaviors promoting management of combat operational stress. When soldiers rated their leaders high on these behaviors, soldiers also reported better mental health and feeling more comfortable with the idea of seeking mental health treatment. These associations held even after controlling for overall leadership ratings. Operational stress leader behaviors also moderated the relationship between combat exposure and soldier health. Domain-specific leadership offers an important step in identifying measures to moderate the impact of high-risk occupations on employee health.

The Effect of Health Beliefs, Media Perceptions, and Communicative Behaviors on Health Behavioral Intention: An Integrated Health Campaign Model on Social Media.

Science.gov (United States)

Yoo, Sun-Wook; Kim, Jarim; Lee, Yeunjae

2018-01-01

Social media have recently gained attention as a potential health campaign tool. This study examines this line of expectation concerning the role social media may play in health campaigns by testing an integrated health campaign model that combines insights from research on social media-specific perceptions and communicative behaviors in order to predict health behaviors. Specifically, this study aims to (a) develop a more holistic social media campaign model for predicting health behaviors in the social media context, (b) investigate how social media channel-related perceptions affect preventive health behaviors, and (c) investigate how communicative behaviors mediate perceptions and behavioral intention. The study conducted an online survey of 498 females who followed the Purple Ribbon Twitter campaign (@pprb), a cervical cancer prevention campaign. The results indicated that information acquisition mediated perceived risk's effect on intention. Information acquisition also mediated the relationships between intention and information selection and information transmission. On the other hand, social media-related perceptions indirectly impacted behavioral intention through communicative behaviors. The findings' theoretical and practical implications are discussed.

Changing automatic behavior through self-monitoring: Does overt change also imply implicit change?

NARCIS (Netherlands)

Maas, J.; Hietbrink, L.; Rinck, M.; Keijsers, G.P.J.

2013-01-01

Background and objectives Self-monitoring of unwanted behavior is a common component of effective cognitive-behavioral therapy. Self-monitoring has often shown to lead to decreases in undesirable behavior. To investigate the underlying mechanisms of these ‘reactive effects’, we investigated whether

Smart health monitoring systems: an overview of design and modeling.

Science.gov (United States)

Baig, Mirza Mansoor; Gholamhosseini, Hamid

2013-04-01

Health monitoring systems have rapidly evolved during the past two decades and have the potential to change the way health care is currently delivered. Although smart health monitoring systems automate patient monitoring tasks and, thereby improve the patient workflow management, their efficiency in clinical settings is still debatable. This paper presents a review of smart health monitoring systems and an overview of their design and modeling. Furthermore, a critical analysis of the efficiency, clinical acceptability, strategies and recommendations on improving current health monitoring systems will be presented. The main aim is to review current state of the art monitoring systems and to perform extensive and an in-depth analysis of the findings in the area of smart health monitoring systems. In order to achieve this, over fifty different monitoring systems have been selected, categorized, classified and compared. Finally, major advances in the system design level have been discussed, current issues facing health care providers, as well as the potential challenges to health monitoring field will be identified and compared to other similar systems.

Health disparities monitoring in the U.S.: lessons for monitoring efforts in Israel and other countries.

Science.gov (United States)

Abu-Saad, Kathleen; Avni, Shlomit; Kalter-Leibovici, Ofra

2018-02-28

Health disparities are a persistent problem in many high-income countries. Health policymakers recognize the need to develop systematic methods for documenting and tracking these disparities in order to reduce them. The experience of the U.S., which has a well-established health disparities monitoring infrastructure, provides useful insights for other countries. This article provides an in-depth review of health disparities monitoring in the U.S. Lessons of potential relevance for other countries include: 1) the integration of health disparities monitoring in population health surveillance, 2) the role of political commitment, 3) use of monitoring as a feedback loop to inform future directions, 4) use of monitoring to identify data gaps, 5) development of extensive cross-departmental cooperation, and 6) exploitation of digital tools for monitoring and reporting. Using Israel as a case in point, we provide a brief overview of the healthcare and health disparities landscape in Israel, and examine how the lessons from the U.S. experience might be applied in the Israeli context. The U.S. model of health disparities monitoring provides useful lessons for other countries with respect to documentation of health disparities and tracking of progress made towards their elimination. Given the persistence of health disparities both in the U.S. and Israel, there is a need for monitoring systems to expand beyond individual- and healthcare system-level factors, to incorporate social and environmental determinants of health as health indicators/outcomes.

Veterans Health Administration Behavioral Health Data

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U.S. Department of Health & Human Services — A list of VHA hospitals with behavioral health measure data. VHA reports data on a set of core performance measures for Hospital-Based Inpatient Psychiatric Services...

Benefits Innovations in Employee Behavioral Health.

Science.gov (United States)

Sherman, Bruce; Block, Lori

2017-01-01

More and more employers recognize the business impact of behavioral health concerns in the workplace. This article provides insights into some of the current innovations in behavioral health benefits, along with their rationale for development. Areas of innovation include conceptual and delivery models, technological advance- ments, tools for engaging employees and ways of quantifying the business value of behavioral health benefits. The rapid growth of innovative behavioral health services should provide employers with confidence that they can tailor a program best suited to their priorities, organizational culture and cost limitations.

Health Risk Behavior in Foster Youth

Science.gov (United States)

Gramkowski, Bridget; Kools, Susan; Paul, Steven; Boyer, Cherrie; Monasterio, Erica; Robbins, Nancy

2010-01-01

Problem Adolescent health problems are predominantly caused by risk behavior. Foster adolescents have disproportionately poor health; therefore identification of risk behavior is critical. Method A secondary analysis of data from a larger study investigated the health risk behavior of 56 foster youth using the CHIP-AE. Findings Foster youth had some increased risk behavior. Younger adolescents and those in kinship care had less risky behavior. Youth had more risk behavior when: in group homes, parental death, histories of physical or emotional abuse, or history of attempted suicide. Conclusions These results point to areas of strength and vulnerability in foster youth. PMID:19490278

Self-rated health in rural Appalachia: health perceptions are incongruent with health status and health behaviors

Directory of Open Access Journals (Sweden)

Pyle Donald N

2011-04-01

Full Text Available Abstract Background Appalachia is characterized by poor health behaviors, poor health status, and health disparities. Recent interventions have not demonstrated much success in improving health status or reducing health disparities in the Appalachian region. Since one's perception of personal health precedes his or her health behaviors, the purpose of this project was to evaluate the self-rated health of Appalachian adults in relation to objective health status and current health behaviors. Methods Appalachian adults (n = 1,576 were surveyed regarding health behaviors - soda consumer (drink ≥ 355 ml/d, or non-consumer (drink 30 min > 1 d/wk and sedentary (exercise Results Respondents reported being healthy, while being sedentary (65%, hypertensive (76%, overweight (73%, or hyperlipidemic (79%. Between 57% and 66% of the respondents who considered themselves healthy had at least two disease conditions or poor health behaviors. Jaccard Binary Similarity coefficients and odds ratios showed the probability of reporting being healthy when having a disease condition or poor health behavior was high. Conclusions The association between self-rated health and poor health indicators in Appalachian adults is distorted. The public health challenge is to formulate messages and programs about health and health needs which take into account the current distortion about health in Appalachia and the cultural context in which this distortion was shaped.

Relationships Between eHealth Literacy and Health Behaviors in Korean Adults.

Science.gov (United States)

Kim, Sun-Hee; Son, Youn-Jung

2017-02-01

The Internet is a useful and accessible source for health-related information for modern healthcare consumers. Individuals with adequate eHealth literacy have an incentive to use the Internet to access health-related information, and they consider themselves capable of using Web-based knowledge for health. This cross-sectional study aimed to describe the relationship between eHealth literacy and health behaviors. A total of 230 adults aged 18 to 39 years and residing in South Korea participated in the study. The mean (SD) score for eHealth literacy was 25.52 (4.35) of a total possible score of 40. The main source of health information was the Internet. Using hierarchical linear regression, the results showed that eHealth literacy was the strongest predictor of health behaviors after adjusting for general characteristics. These findings indicate that eHealth literacy can be an important factor in promoting individual health behaviors. Further research on eHealth literacy and actual health behaviors including intention and self-reported health behaviors are required to explain the impact of eHealth literacy on overall health status.

Behavioral functionality of mobile apps in health interventions: a systematic review of the literature.

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Payne, Hannah E; Lister, Cameron; West, Joshua H; Bernhardt, Jay M

2015-02-26

Several thousand mobile phone apps are available to download to mobile phones for health and fitness. Mobile phones may provide a unique means of administering health interventions to populations. The purpose of this systematic review was to systematically search and describe the literature on mobile apps used in health behavior interventions, describe the behavioral features and focus of health apps, and to evaluate the potential of apps to disseminate health behavior interventions. We conducted a review of the literature in September 2014 using key search terms in several relevant scientific journal databases. Only English articles pertaining to health interventions using mobile phone apps were included in the final sample. The 24 studies identified for this review were primarily feasibility and pilot studies of mobile apps with small sample sizes. All studies were informed by behavioral theories or strategies, with self-monitoring as the most common construct. Acceptability of mobile phone apps was high among mobile phone users. The lack of large sample studies using mobile phone apps may signal a need for additional studies on the potential use of mobile apps to assist individuals in changing their health behaviors. Of these studies, there is early evidence that apps are well received by users. Based on available research, mobile apps may be considered a feasible and acceptable means of administering health interventions, but a greater number of studies and more rigorous research and evaluations are needed to determine efficacy and establish evidence for best practices.

Genomic information as a behavioral health intervention: can it work?

Science.gov (United States)

Bloss, Cinnamon S; Madlensky, Lisa; Schork, Nicholas J; Topol, Eric J

2011-01-01

Individuals can now obtain their personal genomic information via direct-to-consumer genetic testing, but what, if any, impact will this have on their lifestyle and health? A recent longitudinal cohort study of individuals who underwent consumer genome scanning found minimal impacts of testing on risk-reducing lifestyle behaviors, such as diet and exercise. These results raise an important question: is personal genomic information likely to beneficially impact public health through motivation of lifestyle behavioral change? In this article, we review the literature on lifestyle behavioral change in response to genetic testing for common disease susceptibility variants. We find that only a few studies have been carried out, and that those that have been done have yielded little evidence to suggest that the mere provision of genetic information alone results in widespread changes in lifestyle health behaviors. We suggest that further study of this issue is needed, in particular studies that examine response to multiplex testing for multiple genetic markers and conditions. This will be critical as we anticipate the wide availability of whole-genome sequencing and more comprehensive phenotyping of individuals. We also note that while simple communication of genomic information and disease susceptibility may be sufficient to catalyze lifestyle changes in some highly motivated groups of individuals, for others, additional strategies may be required to prompt changes, including more sophisticated means of risk communication (e.g., in the context of social norm feedback) either alone or in combination with other promising interventions (e.g., real-time wireless health monitoring devices). PMID:22199991

Monitoring on corrosion behavior of steam generator tubings

International Nuclear Information System (INIS)

Takamatsu, H.; Isobe, S.; Sato, M.; Arioka, K.; Tsuruta, T.

1988-01-01

The importance of chemistry in high temperature aqueous solutions is widely recognized for understanding corrosion phenomena in PWR SG crevice environments. Potential and pH are two important parameters, among other environmental factors affecting localized corrosion processes, such as IGA and/or SCC in SG crevices. In this article, we discuss the potential-pH-IGA/SCC diagram of Alloy 600 as a basis for evaluating the corrosion behavior of SG tubings, and two examples of monitoring, corrosion potential monitoring in the bulk secondary water and pH monitoring in simulated SG crevices. (author)

Patient-centered activity monitoring in the self-management of chronic health conditions.

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Chiauzzi, Emil; Rodarte, Carlos; DasMahapatra, Pronabesh

2015-04-09

As activity tracking devices become smaller, cheaper, and more consumer-accessible, they will be used more extensively across a wide variety of contexts. The expansion of activity tracking and personal data collection offers the potential for patient engagement in the management of chronic diseases. Consumer wearable devices for activity tracking have shown promise in post-surgery recovery in cardiac patients, pulmonary rehabilitation, and activity counseling in diabetic patients, among others. Unfortunately, the data generated by wearable devices is seldom integrated into programmatic self-management chronic disease regimens. In addition, there is lack of evidence supporting sustained use or effects on health outcomes, as studies have primarily focused on establishing the feasibility of monitoring activity and the association of measured activity with short-term benefits. Monitoring devices can make a direct and real-time impact on self-management, but the validity and reliability of measurements need to be established. In order for patients to become engaged in wearable data gathering, key patient-centered issues relating to usefulness in care, motivation, the safety and privacy of information, and clinical integration need to be addressed. Because the successful usage of wearables requires an ability to comprehend and utilize personal health data, the user experience should account for individual differences in numeracy skills and apply evidence-based behavioral science principles to promote continued engagement. Activity monitoring has the potential to engage patients as advocates in their personalized care, as well as offer health care providers real world assessments of their patients' daily activity patterns. This potential will be realized as the voice of the chronic disease patients is accounted for in the design of devices, measurements are validated against existing clinical assessments, devices become part of the treatment 'prescription', behavior

A Qualitative Study Exploring Facilitators for Improved Health Behaviors and Health Behavior Programs: Mental Health Service Users’ Perspectives

Directory of Open Access Journals (Sweden)

Candida Graham

2014-01-01

Full Text Available Objective. Mental health service users experience high rates of cardiometabolic disorders and have a 20–25% shorter life expectancy than the general population from such disorders. Clinician-led health behavior programs have shown moderate improvements, for mental health service users, in managing aspects of cardiometabolic disorders. This study sought to potentially enhance health initiatives by exploring (1 facilitators that help mental health service users engage in better health behaviors and (2 the types of health programs mental health service users want to develop. Methods. A qualitative study utilizing focus groups was conducted with 37 mental health service users attending a psychosocial rehabilitation center, in Northern British Columbia, Canada. Results. Four major facilitator themes were identified: (1 factors of empowerment, self-value, and personal growth; (2 the need for social support; (3 pragmatic aspects of motivation and planning; and (4 access. Participants believed that engaging with programs of physical activity, nutrition, creativity, and illness support would motivate them to live more healthily. Conclusions and Implications for Practice. Being able to contribute to health behavior programs, feeling valued and able to experience personal growth are vital factors to engage mental health service users in health programs. Clinicians and health care policy makers need to account for these considerations to improve success of health improvement initiatives for this population.

Physical factors that influence patients’ privacy perception toward a psychiatric behavioral monitoring system: a qualitative study

Directory of Open Access Journals (Sweden)

Zakaria N

2017-12-01

Full Text Available Nasriah Zakaria,1,2 Rusyaizila Ramli3 1Research Chair of Health Informatics and Promotion, 2Medical Informatics and E-learning Unit, Medical Education Department, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia; 3Advanced Military Maintenance Repair and Overhaul Center (AMMROC, Abu Dhabi, UAE Background: Psychiatric patients have privacy concerns when it comes to technology intervention in the hospital setting. In this paper, we present scenarios for psychiatric behavioral monitoring systems to be placed in psychiatric wards to understand patients’ perception regarding privacy. Psychiatric behavioral monitoring refers to systems that are deemed useful in measuring clinical outcomes, but little research has been done on how these systems will impact patients’ privacy. Methods: We conducted a case study in one teaching hospital in Malaysia. We investigated the physical factors that influence patients’ perceived privacy with respect to a psychiatric monitoring system. The eight physical factors identified from the information system development privacy model, a comprehensive model for designing a privacy-sensitive information system, were adapted in this research. Scenario-based interviews were conducted with 25 patients in a psychiatric ward for 3 months. Results: Psychiatric patients were able to share how physical factors influence their perception of privacy. Results show how patients responded to each of these dimensions in the context of a psychiatric behavioral monitoring system. Conclusion: Some subfactors under physical privacy are modified to reflect the data obtained in the interviews. We were able to capture the different physical factors that influence patient privacy. Keywords: information system development (ISD, physical factor, privacy, psychiatric monitoring system

Dynamic Relationships Between Parental Monitoring, Peer Risk Involvement and Sexual Risk Behavior Among Bahamian Mid-Adolescents.

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Wang, Bo; Stanton, Bonita; Deveaux, Lynette; Li, Xiaoming; Lunn, Sonja

2015-06-01

Considerable research has examined reciprocal relationships between parenting, peers and adolescent problem behavior; however, such studies have largely considered the influence of peers and parents separately. It is important to examine simultaneously the relationships between parental monitoring, peer risk involvement and adolescent sexual risk behavior, and whether increases in peer risk involvement and changes in parental monitoring longitudinally predict adolescent sexual risk behavior. Four waves of sexual behavior data were collected between 2008/2009 and 2011 from high school students aged 13-17 in the Bahamas. Structural equation and latent growth curve modeling were used to examine reciprocal relationships between parental monitoring, perceived peer risk involvement and adolescent sexual risk behavior. For both male and female youth, greater perceived peer risk involvement predicted higher sexual risk behavior index scores, and greater parental monitoring predicted lower scores. Reciprocal relationships were found between parental monitoring and sexual risk behavior for males and between perceived peer risk involvement and sexual risk behavior for females. For males, greater sexual risk behavior predicted lower parental monitoring; for females, greater sexual risk behavior predicted higher perceived peer risk involvement. According to latent growth curve models, a higher initial level of parental monitoring predicted decreases in sexual risk behavior, whereas both a higher initial level and a higher growth rate of peer risk involvement predicted increases in sexual risk behavior. Results highlight the important influence of peer risk involvement on youths' sexual behavior and gender differences in reciprocal relationships between parental monitoring, peer influence and adolescent sexual risk behavior.

Some current dimensions of the behavioral economics of health-related behavior change.

Science.gov (United States)

Bickel, Warren K; Moody, Lara; Higgins, Stephen T

2016-11-01

Health-related behaviors such as tobacco, alcohol and other substance use, poor diet and physical inactivity, and risky sexual practices are important targets for research and intervention. Health-related behaviors are especially pertinent targets in the United States, which lags behind most other developed nations on common markers of population health. In this essay we examine the application of behavioral economics, a scientific discipline that represents the intersection of economics and psychology, to the study and promotion of health-related behavior change. More specifically, we review what we consider to be some core dimensions of this discipline when applied to the study health-related behavior change. Behavioral economics (1) provides novel conceptual systems to inform scientific understanding of health behaviors, (2) translates scientific understanding into practical and effective behavior-change interventions, (3) leverages varied aspects of behavior change beyond increases or decreases in frequency, (4) recognizes and exploits trans-disease processes and interventions, and (5) leverages technology in efforts to maximize efficacy, cost effectiveness, and reach. These dimensions are overviewed and their implications for the future of the field discussed. Copyright © 2016 Elsevier Inc. All rights reserved.

On Site Investigation and Health Monitoring of a Historic Tower in Mantua, Italy

Directory of Open Access Journals (Sweden)

Antonella Saisi

2016-06-01

Full Text Available The paper describes the strategy adopted to assess the structural condition of the tallest historic tower in Mantua (Italy after the Italian seismic sequence of May–June 2012 and exemplifies the application of health monitoring using (automated operational modal analysis. The post-earthquake survey (including extensive visual inspection, historic and documentary research, non-destructive (ND material testing, and ambient vibration tests highlighted the poor state of preservation of the upper part of the tower; subsequently, a dynamic monitoring system (consisting of a few accelerometers and one temperature sensor was installed in the building to address the preservation of the historic structure, and automated modal identification was continuously performed. Despite the low levels of vibration that existed in operational conditions, the analysis of data collected over a period of about 15 months allowed to assess and model the effects of changing temperature on modal frequencies and to detect the occurrence of abnormal behavior and damage under the changing environment. The monitoring results demonstrate the potential key role of vibration-based structural health monitoring, implemented through low-cost hardware solutions and appropriate software tools, in the preventive conservation and the condition-based maintenance of historic towers.

Dietary self-monitoring in patients with obstructive sleep apnea.

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Hood, Megan M; Nackers, Lisa M; Kleinman, Brighid; Corsica, Joyce; Katterman, Shawn N

2014-01-01

Self-monitoring of food intake is a cornerstone of behavioral weight loss interventions, but its use has not been evaluated in the treatment of obese patients with obstructive sleep apnea (OSA). This pilot study described patterns of adherence to dietary self-monitoring in obese patients with OSA and determined associations between self-monitoring and weight loss, psychosocial functioning, and adherence to continuous positive airway pressure treatment. Participants completed a 6-week behavioral weight loss intervention focused on dietary self-monitoring. Approximately one-third of participants were adherent to self-monitoring throughout the course of the intervention and experienced more weight loss than those who did not self-monitor regularly. More frequent dietary self-monitoring also appeared to be associated with adherence to other health behaviors. These preliminary data suggest that use of dietary self-monitoring may be beneficial for promoting weight loss and adherence to other important health behaviors in OSA patients.

The use of the road to health card in monitoring child health | Tarwa ...

African Journals Online (AJOL)

The use of the road to health card in monitoring child health. ... The Road to Health Chart (RTHC) provides a simple, cheap, practical and convenient method of monitoring child health. The RTHC could assist ... Conclusions: Many parents believe that the RTHC is only required for Well-baby-clinic visits, not for consultations.

Structural Health Monitoring of Railway Transition Zones Using Satellite Radar Data

Directory of Open Access Journals (Sweden)

Haoyu Wang

2018-01-01

Full Text Available Transition zones in railway tracks are locations with considerable changes in the rail-supporting structure. Typically, they are located near engineering structures, such as bridges, culverts and tunnels. In such locations, severe differential settlements often occur due to the different material properties and structure behavior. Without timely maintenance, the differential settlement may lead to the damage of track components and loss of passenger’s comfort. To ensure the safety of railway operations and reduce the maintenance costs, it is necessary to consecutively monitor the structural health condition of the transition zones in an economical manner and detect the changes at an early stage. However, using the current in situ monitoring of transition zones is hard to achieve this goal, because most in situ techniques (e.g., track-measuring coaches are labor-consuming and usually not frequently performed (approximately twice a year in the Netherlands. To tackle the limitations of the in situ techniques, a Satellite Synthetic Aperture Radar (InSAR system is presented in this paper, which provides a potential solution for a consecutive structural health monitoring of transition zones with bi-/tri-weekly data update and mm-level precision. To demonstrate the feasibility of the InSAR system for monitoring transition zones, a transition zone is tested. The results show that the differential settlement in the transition zone and the settlement rate can be observed and detected by the InSAR measurements. Moreover, the InSAR results are cross-validated against measurements obtained using a measuring coach and a Digital Image Correlation (DIC device. The results of the three measuring techniques show a good correlation, which proves the applicability of InSAR for the structural health monitoring of transition zones in railway track.

Structural Health Monitoring of Railway Transition Zones Using Satellite Radar Data.

Science.gov (United States)

Wang, Haoyu; Chang, Ling; Markine, Valeri

2018-01-31

Transition zones in railway tracks are locations with considerable changes in the rail-supporting structure. Typically, they are located near engineering structures, such as bridges, culverts and tunnels. In such locations, severe differential settlements often occur due to the different material properties and structure behavior. Without timely maintenance, the differential settlement may lead to the damage of track components and loss of passenger's comfort. To ensure the safety of railway operations and reduce the maintenance costs, it is necessary to consecutively monitor the structural health condition of the transition zones in an economical manner and detect the changes at an early stage. However, using the current in situ monitoring of transition zones is hard to achieve this goal, because most in situ techniques (e.g., track-measuring coaches) are labor-consuming and usually not frequently performed (approximately twice a year in the Netherlands). To tackle the limitations of the in situ techniques, a Satellite Synthetic Aperture Radar (InSAR) system is presented in this paper, which provides a potential solution for a consecutive structural health monitoring of transition zones with bi-/tri-weekly data update and mm-level precision. To demonstrate the feasibility of the InSAR system for monitoring transition zones, a transition zone is tested. The results show that the differential settlement in the transition zone and the settlement rate can be observed and detected by the InSAR measurements. Moreover, the InSAR results are cross-validated against measurements obtained using a measuring coach and a Digital Image Correlation (DIC) device. The results of the three measuring techniques show a good correlation, which proves the applicability of InSAR for the structural health monitoring of transition zones in railway track.

Health Monitor for Multitasking, Safety-Critical, Real-Time Software

Science.gov (United States)

Zoerner, Roger

2011-01-01

Health Manager can detect Bad Health prior to a failure occurring by periodically monitoring the application software by looking for code corruption errors, and sanity-checking each critical data value prior to use. A processor s memory can fail and corrupt the software, or the software can accidentally write to the wrong address and overwrite the executing software. This innovation will continuously calculate a checksum of the software load to detect corrupted code. This will allow a system to detect a failure before it happens. This innovation monitors each software task (thread) so that if any task reports "bad health," or does not report to the Health Manager, the system is declared bad. The Health Manager reports overall system health to the outside world by outputting a square wave signal. If the square wave stops, this indicates that system health is bad or hung and cannot report. Either way, "bad health" can be detected, whether caused by an error, corrupted data, or a hung processor. A separate Health Monitor Task is started and run periodically in a loop that starts and stops pending on a semaphore. Each monitored task registers with the Health Manager, which maintains a count for the task. The registering task must indicate if it will run more or less often than the Health Manager. If the task runs more often than the Health Manager, the monitored task calls a health function that increments the count and verifies it did not go over max-count. When the periodic Health Manager runs, it verifies that the count did not go over the max-count and zeroes it. If the task runs less often than the Health Manager, the periodic Health Manager will increment the count. The monitored task zeroes the count, and both the Health Manager and monitored task verify that the count did not go over the max-count.

Twenty years of children’s health monitoring: organization, results, conclusions

Directory of Open Access Journals (Sweden)

Aleksandra Anatol’evna Shabunova

2015-05-01

institution, the decrease in child population and the reduction in its quality characteristics. The second conclusion, according to the study results, is that we identify risk factors for child health empirically. The obtained data are used at the legislative level and are of great interest in the scientific community. On the example of certain families we show how the child’s health is affected by a lifestyle of his/her parents, conditions of education, welfare, medical activity, diet, housing conditions, environmental conditions. Nowadays all of these factors require careful attention of not only authorities, but also the parents. The child’s health monitoring also results in the further development of scientific areas and the formation of new thematic research units, such as the “Monitoring of reproductive health and behavior of the population” and the “Reproductive potential of the region” and later the “Reproduction of the population: trends and reserves”

Remote Monitoring of the Structural Health of Hydrokinetic Composite Turbine Blades

Energy Technology Data Exchange (ETDEWEB)

J.L. Rovey

2012-09-21

A health monitoring approach is investigated for hydrokinetic turbine blade applications. In-service monitoring is critical due to the difficult environment for blade inspection and the cost of inspection downtime. Composite blade designs have advantages that include long life in marine environments and great control over mechanical properties. Experimental strain characteristics are determined for static loads and free-vibration loads. These experiments are designed to simulate the dynamic characteristics of hydrokinetic turbine blades. Carbon/epoxy symmetric composite laminates are manufactured using an autoclave process. Four-layer composite beams, eight-layer composite beams, and two-dimensional eight-layer composite blades are instrumented for strain. Experimental results for strain measurements from electrical resistance gages are validated with theoretical characteristics obtained from in-house finite-element analysis for all sample cases. These preliminary tests on the composite samples show good correlation between experimental and finite-element strain results. A health monitoring system is proposed in which damage to a composite structure, e.g. delamination and fiber breakage, causes changes in the strain signature behavior. The system is based on embedded strain sensors and embedded motes in which strain information is demodulated for wireless transmission. In-service monitoring is critical due to the difficult environment for blade inspection and the cost of inspection downtime. Composite blade designs provide a medium for embedding sensors into the blades for in-situ health monitoring. The major challenge with in-situ health monitoring is transmission of sensor signals from the remote rotating reference frame of the blade to the system monitoring station. In the presented work, a novel system for relaying in-situ blade health measurements in hydrokinetic systems is described and demonstrated. An ultrasonic communication system is used to transmit

Mobile health monitoring system for community health workers

CSIR Research Space (South Africa)

Sibiya, G

2014-09-01

Full Text Available of hypertension as it provides real time information and eliminates the need to visit a healthcare facility to take blood pressure readings. Our proposed mobile health monitoring system enables faster computerization of data that has been recorded... pressure, heart rate and glucose readings. These reading closely related to most common NCDs. D. Feedback to health worker and the subject of care Community health workers are often not professionally trained on health. As a result they are not expected...

Wearable Sensors for Remote Health Monitoring.

Science.gov (United States)

Majumder, Sumit; Mondal, Tapas; Deen, M Jamal

2017-01-12

Life expectancy in most countries has been increasing continually over the several few decades thanks to significant improvements in medicine, public health, as well as personal and environmental hygiene. However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant  burdens on the socio-economic structure of these countries. Therefore, it is essential to develop cost-effective, easy-to-use systems for the sake of elderly healthcare and well-being. Remote health monitoring, based on non-invasive and wearable sensors, actuators and modern communication and information technologies offers an efficient and cost-effective solution that allows the elderly to continue to live in their comfortable home environment instead of expensive healthcare facilities. These systems will also allow healthcare personnel to monitor important physiological signs of their patients in real time, assess health conditions and provide feedback from distant facilities. In this paper, we have presented and compared several low-cost and non-invasive health and activity monitoring systems that were reported in recent years. A survey on textile-based sensors that can potentially be used in wearable systems is also presented. Finally, compatibility of several communication technologies as well as future perspectives and research challenges in remote monitoring systems will be discussed.

Wearable Sensors for Remote Health Monitoring

Directory of Open Access Journals (Sweden)

Sumit Majumder

2017-01-01

Full Text Available Life expectancy in most countries has been increasing continually over the several few decades thanks to significant improvements in medicine, public health, as well as personal and environmental hygiene. However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant  burdens on the socio-economic structure of these countries. Therefore, it is essential to develop cost-effective, easy-to-use systems for the sake of elderly healthcare and well-being. Remote health monitoring, based on non-invasive and wearable sensors, actuators and modern communication and information technologies offers an efficient and cost-effective solution that allows the elderly to continue to live in their comfortable home environment instead of expensive healthcare facilities. These systems will also allow healthcare personnel to monitor important physiological signs of their patients in real time, assess health conditions and provide feedback from distant facilities. In this paper, we have presented and compared several low-cost and non-invasive health and activity monitoring systems that were reported in recent years. A survey on textile-based sensors that can potentially be used in wearable systems is also presented. Finally, compatibility of several communication technologies as well as future perspectives and research challenges in remote monitoring systems will be discussed.

Can Mobile Phone Apps Influence People's Health Behavior Change? An Evidence Review.

Science.gov (United States)

Zhao, Jing; Freeman, Becky; Li, Mu

2016-10-31

Globally, mobile phones have achieved wide reach at an unprecedented rate, and mobile phone apps have become increasingly prevalent among users. The number of health-related apps that were published on the two leading platforms (iOS and Android) reached more than 100,000 in 2014. However, there is a lack of synthesized evidence regarding the effectiveness of mobile phone apps in changing people's health-related behaviors. The aim was to examine the effectiveness of mobile phone apps in achieving health-related behavior change in a broader range of interventions and the quality of the reported studies. We conducted a comprehensive bibliographic search of articles on health behavior change using mobile phone apps in peer-reviewed journals published between January 1, 2010 and June 1, 2015. Databases searched included Medline, PreMedline, PsycINFO, Embase, Health Technology Assessment, Education Resource Information Center (ERIC), and Cumulative Index to Nursing and Allied Health Literature (CINAHL). Articles published in the Journal of Medical Internet Research during that same period were hand-searched on the journal's website. Behavior change mechanisms were coded and analyzed. The quality of each included study was assessed by the Cochrane Risk of Bias Assessment Tool. A total of 23 articles met the inclusion criteria, arranged under 11 themes according to their target behaviors. All studies were conducted in high-income countries. Of these, 17 studies reported statistically significant effects in the direction of targeted behavior change; 19 studies included in this analysis had a 65% or greater retention rate in the intervention group (range 60%-100%); 6 studies reported using behavior change theories with the theory of planned behavior being the most commonly used (in 3 studies). Self-monitoring was the most common behavior change technique applied (in 12 studies). The studies suggest that some features improve the effectiveness of apps, such as less time

Acoustic Techniques for Structural Health Monitoring

Science.gov (United States)

Frankenstein, B.; Augustin, J.; Hentschel, D.; Schubert, F.; Köhler, B.; Meyendorf, N.

2008-02-01

Future safety and maintenance strategies for industrial components and vehicles are based on combinations of monitoring systems that are permanently attached to or embedded in the structure, and periodic inspections. The latter belongs to conventional nondestructive evaluation (NDE) and can be enhanced or partially replaced by structural health monitoring systems. However, the main benefit of this technology for the future will consist of systems that can be differently designed based on improved safety philosophies, including continuous monitoring. This approach will increase the efficiency of inspection procedures at reduced inspection times. The Fraunhofer IZFP Dresden Branch has developed network nodes, miniaturized transmitter and receiver systems for active and passive acoustical techniques and sensor systems that can be attached to or embedded into components or structures. These systems have been used to demonstrate intelligent sensor networks for the monitoring of aerospace structures, railway systems, wind energy generators, piping system and other components. Material discontinuities and flaws have been detected and monitored during full scale fatigue testing. This paper will discuss opportunities and future trends in nondestructive evaluation and health monitoring based on new sensor principles and advanced microelectronics. It will outline various application examples of monitoring systems based on acoustic techniques and will indicate further needs for research and development.

Health monitoring system for a tall building with Fiber Bragg grating sensors

Science.gov (United States)

Li, D. S.; Li, H. N.; Ren, L.; Guo, D. S.; Song, G. B.

2009-03-01

Fiber Bragg grating (FBG) sensors demonstrate great potentials for structural health monitoring of civil structures to ensure their structural integrity, durability and reliability. The advantages of applying fiber optic sensors to a tall building include their immunity of electromagnetic interference and multiplexing ability to transfer optical signals over a long distance. In the work, FBG sensors, including strain and temperature sensors, are applied to the construction monitoring of an 18-floor tall building starting from its construction date. The main purposes of the project are: 1) monitoring the temperature evolution history within the concrete during the pouring process; 2) measuring the variations of the main column strains on the underground floor while upper 18 floors were subsequently added on; and 3) monitoring the relative displacements between two foundation blocks. The FBG sensors have been installed and interrogated continuously for more than five months. Monitoring results of temperature and strains during the period are presented in the paper. Furthermore, the lag behavior between the concrete temperature and its surrounding air temperature is investigated.

Self-Regulatory Processes Mediate the Intention-Behavior Relation for Adherence and Exercise Behaviors

NARCIS (Netherlands)

Bruin, de M.; Sheeran, P.; Kok, G.; Hiemstra, A.; Prins, J.M.; Hospers, H.J.; Breukelen, G.J.P.

2012-01-01

Objectives: Understanding the gap between people's intentions and actual health behavior is an important issue in health psychology. Our aim in this study was to investigate whether self-regulatory processes (monitoring goal progress and responding to discrepancies) mediate the intention-behavior

Wearable sensors for human health monitoring

Science.gov (United States)

Asada, H. Harry; Reisner, Andrew

2006-03-01

Wearable sensors for continuous monitoring of vital signs for extended periods of weeks or months are expected to revolutionize healthcare services in the home and workplace as well as in hospitals and nursing homes. This invited paper describes recent research progress in wearable health monitoring technology and its clinical applications, with emphasis on blood pressure and circulatory monitoring. First, a finger ring-type wearable blood pressure sensor based on photo plethysmogram is presented. Technical issues, including motion artifact reduction, power saving, and wearability enhancement, will be addressed. Second, sensor fusion and sensor networking for integrating multiple sensors with diverse modalities will be discussed for comprehensive monitoring and diagnosis of health status. Unlike traditional snap-shot measurements, continuous monitoring with wearable sensors opens up the possibility to treat the physiological system as a dynamical process. This allows us to apply powerful system dynamics and control methodologies, such as adaptive filtering, single- and multi-channel system identification, active noise cancellation, and adaptive control, to the monitoring and treatment of highly complex physiological systems. A few clinical trials illustrate the potentials of the wearable sensor technology for future heath care services.

Design of smart neonatal health monitoring system using SMCC.

Science.gov (United States)

De, Debashis; Mukherjee, Anwesha; Sau, Arkaprabha; Bhakta, Ishita

2017-02-01

Automated health monitoring and alert system development is a demanding research area today. Most of the currently available monitoring and controlling medical devices are wired which limits freeness of working environment. Wireless sensor network (WSN) is a better alternative in such an environment. Neonatal intensive care unit is used to take care of sick and premature neonates. Hypothermia is an independent risk factor for neonatal mortality and morbidity. To prevent it an automated monitoring system is required. In this Letter, an automated neonatal health monitoring system is designed using sensor mobile cloud computing (SMCC). SMCC is based on WSN and MCC. In the authors' system temperature sensor, acceleration sensor and heart rate measurement sensor are used to monitor body temperature, acceleration due to body movement and heart rate of neonates. The sensor data are stored inside the cloud. The health person continuously monitors and accesses these data through the mobile device using an Android Application for neonatal monitoring. When an abnormal situation arises, an alert is generated in the mobile device of the health person. By alerting health professional using such an automated system, early care is provided to the affected babies and the probability of recovery is increased.

Parental influence on children's oral health-related behavior.

Science.gov (United States)

Poutanen, Raija; Lahti, Satu; Tolvanen, Mimmi; Hausen, Hannu

2006-10-01

The aim of this study was to determine whether there are differences between oral health-related knowledge, attitudes, beliefs and behaviors of children and their parents, and to identify the family-related factors associated with children's poor or good oral health-related behavior. The data were gathered by means of questionnaires from 11-12-year-old schoolchildren and their parents who replied without having knowledge of the answers of the others. Differences between subgroups of children were analyzed by cross-tabulation, and the factors related to children's good or poor oral health-related behavior by logistic regression analyses. Parents of children who reported good oral health-related behavior had better knowledge and more favorable behaviors than those of other parents. Predictors for a child's poor oral health-related behavior were the child's poor knowledge, male gender, the parent's frequent consumption of sweets, and the parent's infrequent use of xylitol gum. When a less strict threshold for the child's poor oral health-related behavior was used, more predictors entered the model: the parent's unfavorable use of fluoride toothpaste; among girls, the parent's lack of knowledge; and among children whose mother's occupation level was high, the parent's infrequent use of xylitol gum. The parents of children whose oral health behavior was favorable were more likely to have a high level occupation and favorable oral health-related behaviors. Oral health-related knowledge of children and their parents seems to be associated with children's oral health-related behavior. Parents' behaviors, but not attitudes, were associated with children's oral health behavior.

The role of narcissism in health-risk and health-protective behaviors.

Science.gov (United States)

Hill, Erin M

2016-09-01

This study examined the role of narcissism in health-risk and health-protective behaviors in a sample of 365 undergraduate students. Regression analyses were used to test the influence of narcissism on health behaviors. Narcissism was positively predictive of alcohol use, marijuana use, and risky driving behaviors, and it was associated with an increased likelihood of consistently having a healthy eating pattern. Narcissism was also positively predictive of physical activity. Results are discussed with reference to the potential short-term and long-term health implications and the need for future research on the factors involved in the relationship between narcissism and health behaviors. © The Author(s) 2015.

Wealth and Health Behavior: Testing the Concept of a Health Cost.

Science.gov (United States)

van Kippersluis, Hans; Galama, Titus J

2014-11-01

Wealthier individuals engage in healthier behavior. This paper seeks to explain this phenomenon by exploiting both inheritances and lottery winnings to test a theory of health behavior. We distinguish between the direct monetary cost and the indirect health cost (value of health lost) of unhealthy consumption. The health cost increases with wealth and the degree of unhealthiness, leading wealthier individuals to consume more healthy and moderately unhealthy, but fewer severely unhealthy goods. The empirical evidence presented suggests that differences in health costs may indeed partially explain behavioral differences, and ultimately health outcomes, between wealth groups.

Flexible Sensing Electronics for Wearable/Attachable Health Monitoring.

Science.gov (United States)

Wang, Xuewen; Liu, Zheng; Zhang, Ting

2017-07-01

Wearable or attachable health monitoring smart systems are considered to be the next generation of personal portable devices for remote medicine practices. Smart flexible sensing electronics are components crucial in endowing health monitoring systems with the capability of real-time tracking of physiological signals. These signals are closely associated with body conditions, such as heart rate, wrist pulse, body temperature, blood/intraocular pressure and blood/sweat bio-information. Monitoring such physiological signals provides a convenient and non-invasive way for disease diagnoses and health assessments. This Review summarizes the recent progress of flexible sensing electronics for their use in wearable/attachable health monitoring systems. Meanwhile, we present an overview of different materials and configurations for flexible sensors, including piezo-resistive, piezo-electrical, capacitive, and field effect transistor based devices, and analyze the working principles in monitoring physiological signals. In addition, the future perspectives of wearable healthcare systems and the technical demands on their commercialization are briefly discussed. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Applying Behavioral Economics to Public Health Policy

Science.gov (United States)

Matjasko, Jennifer L.; Cawley, John H.; Baker-Goering, Madeleine M.; Yokum, David V.

2016-01-01

Behavioral economics provides an empirically informed perspective on how individuals make decisions, including the important realization that even subtle features of the environment can have meaningful impacts on behavior. This commentary provides examples from the literature and recent government initiatives that incorporate concepts from behavioral economics in order to improve health, decision making, and government efficiency. The examples highlight the potential for behavioral economics to improve the effectiveness of public health policy at low cost. Although incorporating insights from behavioral economics into public health policy has the potential to improve population health, its integration into government public health programs and policies requires careful design and continual evaluation of such interventions. Limitations and drawbacks of the approach are discussed. PMID:27102853

Context aware sensing for health monitoring

NARCIS (Netherlands)

Landete, F.; Chen, W.; Bouwstra, S.; Feijs, L.M.G.; Bambang Oetomo, S.

2012-01-01

Health Monitoring systems with textile sensors offer more comfort compared to gel electrodes, however they tend to suffer from poor skin contact and motion artifacts. In order to improve the monitoring reliability, we propose to apply multiple sensors and context aware sensing. A context aware

Activity monitoring systems in health care

NARCIS (Netherlands)

Kröse, B.; van Oosterhout, T.; van Kasteren, T.; Salah, A.A.; Gevers, T.

2011-01-01

This chapter focuses on activity monitoring in a home setting for health care purposes. First the most current sensing systems are described, which consist of wearable and ambient sensors. Then several approaches for the monitoring of simple actions are discussed, like falls or therapies. After

Acceptance by laypersons and medical professionals of the personalized eHealth platform, eHealthMonitor.

Science.gov (United States)

Griebel, Lena; Kolominsky-Rabas, Peter; Schaller, Sandra; Siudyka, Jakub; Sierpinski, Radoslaw; Papapavlou, Dimitrios; Simeonidou, Aliki; Prokosch, Hans-Ulrich; Sedlmayr, Martin

2017-09-01

Often, eHealth services are not accepted because of factors such as eHealth literacy or trust. Within this study, eHealthMonitor was evaluated in three European countries (Germany, Greece, and Poland) by medical professionals and laypersons with respect to numerous acceptance factors. Questionnaires were created on the basis of factors from literature and with the help of scales which have already been validated. A qualitative survey was conducted in Germany, Poland, and Greece. The eHealth literacy of all participants was medium/high. Laypersons mostly agreed that they could easily become skillful with eHealthMonitor and that other people thought that they should use eHealthMonitor. Amongst medical professionals, a large number were afraid that eHealthMonitor could violate their privacy or the privacy of their patients. Overall, the participants thought that eHealthMonitor was a good concept and that they would use it. The main hindrances to the use of eHealthMonitor were found in trust issues including data privacy. In the future, more research on the linkage of all measured factors is needed, for example, to address the question of whether highly educated people tend to mistrust eHealth information more than people with lower levels of education.

What Factors Affect Health Seeking Behavior?

African Journals Online (AJOL)

reducing cost, disability and death from diseases. (2). However, good health ... The Health Belief Model where the concept is the 'perceived susceptibility', which refers ... behavioral intentions and actions (6). ... integrated behavioral model.

Wearable sensors for health monitoring

Science.gov (United States)

Suciu, George; Butca, Cristina; Ochian, Adelina; Halunga, Simona

2015-02-01

In this paper we describe several wearable sensors, designed for monitoring the health condition of the patients, based on an experimental model. Wearable sensors enable long-term continuous physiological monitoring, which is important for the treatment and management of many chronic illnesses, neurological disorders, and mental health issues. The system is based on a wearable sensors network, which is connected to a computer or smartphone. The wearable sensor network integrates several wearable sensors that can measure different parameters such as body temperature, heart rate and carbon monoxide quantity from the air. After the portable sensors measuring parameter values, they are transmitted by microprocessor through the Bluetooth to the application developed on computer or smartphone, to be interpreted.

Electronic health records: eliciting behavioral health providers' beliefs.

Science.gov (United States)

Shank, Nancy; Willborn, Elizabeth; Pytlikzillig, Lisa; Noel, Harmonijoie

2012-04-01

Interviews with 32 community behavioral health providers elicited perceived benefits and barriers of using electronic health records. Themes identified were (a) quality of care, (b) privacy and security, and (c) delivery of services. Benefits to quality of care were mentioned by 100% of the providers, and barriers by 59% of providers. Barriers involving privacy and security concerns were mentioned by 100% of providers, and benefits by 22%. Barriers to delivery of services were mentioned by 97% of providers, and benefits by 66%. Most providers (81%) expressed overall positive support for electronic behavioral health records.

Association of health professional leadership behaviors on health promotion practice beliefs.

Science.gov (United States)

Stone, Jacqueline D; Belcher, Harolyn M E; Attoh, Prince; D'Abundo, Michelle; Gong, Tao

2017-04-01

Leadership is a process by which an individual influences a group or individual to achieve a common goal, in this case health promotion for individuals with disabilities. (1) To examine the association between the transformational leadership behaviors of the Association of University Centers on Disabilities (AUCD) network professionals and their practice beliefs about health promotion activities, specifically cardiovascular fitness and healthy weight, for people with disabilities. (2) To determine if discipline and/or years of practice moderate the association between transformational leadership behaviors and practice beliefs regarding health promotion. There is a positive association between transformational leadership behaviors and health professionals practice beliefs regarding health promotion activities for persons with disabilities. A quantitative cross-sectional web-based survey design was used to determine the association between leadership behaviors and practices beliefs regarding health promotion for people with disabilities. The Multifactor Leadership Questionnaire and an adapted version of the Role of Health Promotion in Physical Therapy Survey were used to measure leadership and practice beliefs, respectively. Multiple regression analysis was applied to determine the association of leadership behaviors with health promotion practice beliefs variables. Transformational leadership behaviors of the AUCD network professionals were positively associated with health promotion practice beliefs about cardiovascular fitness for people with disabilities. Years post licensure and discipline did not moderate the association between transformational leadership and practice beliefs regarding health promotion. Transformational leadership may facilitate health professionals' health promotion practices for people with disabilities. Further research and training in leadership is needed. Copyright © 2017 Elsevier Inc. All rights reserved.

Wireless Zigbee strain gage sensor system for structural health monitoring

Science.gov (United States)

Ide, Hiroshi; Abdi, Frank; Miraj, Rashid; Dang, Chau; Takahashi, Tatsuya; Sauer, Bruce

2009-05-01

A compact cell phone size radio frequency (ZigBee) wireless strain measurement sensor system to measure the structural strain deformation was developed. The developed system provides an accurate strain measurement data stream to the Internet for further Diagnostic and Prognostic (DPS) correlation. Existing methods of structural measurement by strain sensors (gauges) do not completely satisfy problems posed by continuous structural health monitoring. The need for efficient health monitoring methods with real-time requirements to bidirectional data flow from sensors and to a commanding device is becoming critical for keeping our daily life safety. The use of full-field strain measurement techniques could reduce costly experimental programs through better understanding of material behavior. Wireless sensor-network technology is a monitoring method that is estimated to grow rapidly providing potential for cost savings over traditional wired sensors. The many of currently available wireless monitoring methods have: the proactive and constant data rate character of the data streams rather than traditional reactive, event-driven data delivery; mostly static node placement on structures with limited number of nodes. Alpha STAR Electronics' wireless sensor network system, ASWN, addresses some of these deficiencies, making the system easier to operate. The ASWN strain measurement system utilizes off-the-shelf sensors, namely strain gauges, with an analog-to-digital converter/amplifier and ZigBee radio chips to keep cost lower. Strain data is captured by the sensor, converted to digital form and delivered to the ZigBee radio chip, which in turn broadcasts the information using wireless protocols to a Personal Data Assistant (PDA) or Laptop/Desktop computers. From here, data is forwarded to remote computers for higher-level analysis and feedback using traditional cellular and satellite communication or the Ethernet infrastructure. This system offers a compact size, lower cost

Patient monitoring in mobile health: opportunities and challenges.

Science.gov (United States)

Mohammadzadeh, Niloofar; Safdari, Reza

2014-01-01

In most countries chronic diseases lead to high health care costs and reduced productivity of people in society. The best way to reduce costs of health sector and increase the empowerment of people is prevention of chronic diseases and appropriate health activities management through monitoring of patients. To enjoy the full benefits of E-health, making use of methods and modern technologies is very important. This literature review articles were searched with keywords like Patient monitoring, Mobile Health, and Chronic Disease in Science Direct, Google Scholar and Pub Med databases without regard to the year of publications. Applying remote medical diagnosis and monitoring system based on mobile health systems can help significantly to reduce health care costs, correct performance management particularly in chronic disease management. Also some challenges are in patient monitoring in general and specific aspects like threats to confidentiality and privacy, technology acceptance in general and lack of system interoperability with electronic health records and other IT tools, decrease in face to face communication between doctor and patient, sudden interruptions of telecommunication networks, and device and sensor type in specific aspect. It is obvious identifying the opportunities and challenges of mobile technology and reducing barriers, strengthening the positive points will have a significant role in the appropriate planning and promoting the achievements of the health care systems based on mobile and helps to design a roadmap for improvement of mobile health.

A new approach for structural health monitoring by applying anomaly detection on strain sensor data

Science.gov (United States)

Trichias, Konstantinos; Pijpers, Richard; Meeuwissen, Erik

2014-03-01

Structural Health Monitoring (SHM) systems help to monitor critical infrastructures (bridges, tunnels, etc.) remotely and provide up-to-date information about their physical condition. In addition, it helps to predict the structure's life and required maintenance in a cost-efficient way. Typically, inspection data gives insight in the structural health. The global structural behavior, and predominantly the structural loading, is generally measured with vibration and strain sensors. Acoustic emission sensors are more and more used for measuring global crack activity near critical locations. In this paper, we present a procedure for local structural health monitoring by applying Anomaly Detection (AD) on strain sensor data for sensors that are applied in expected crack path. Sensor data is analyzed by automatic anomaly detection in order to find crack activity at an early stage. This approach targets the monitoring of critical structural locations, such as welds, near which strain sensors can be applied during construction and/or locations with limited inspection possibilities during structural operation. We investigate several anomaly detection techniques to detect changes in statistical properties, indicating structural degradation. The most effective one is a novel polynomial fitting technique, which tracks slow changes in sensor data. Our approach has been tested on a representative test structure (bridge deck) in a lab environment, under constant and variable amplitude fatigue loading. In both cases, the evolving cracks at the monitored locations were successfully detected, autonomously, by our AD monitoring tool.

Effects of flooring and restricted freestall access on behavior and claw health of dairy heifers

NARCIS (Netherlands)

Ouweltjes, W.; Werf, van der J.T.N.; Frankena, K.; Leeuwen, van J.L.

2011-01-01

Claw health, locomotion, feed intake, milk yield, body weight, activity, and lying and standing behavior of dairy heifers were monitored in a single dairy herd during the first 3 mo after calving. During the first 8 wk after calving, 2 treatments were applied: restricted freestall access by closing

Health Care Waste Segregation Behavior among Health Workers in Uganda: An Application of the Theory of Planned Behavior

OpenAIRE

Akulume, Martha; Kiwanuka, Suzanne N.

2016-01-01

Objective. The goal of this study was to assess the appropriateness of the theory of planned behavior in predicting health care waste segregation behaviors and to examine the factors that influence waste segregation behaviors. Methodology. One hundred and sixty-three health workers completed a self-administered questionnaire in a cross-sectional survey that examined the theory of planned behavior constructs (attitudes, subjective norms, perceived behavioral control, and intention) and externa...

[The institutional promotion of good practices in the operational management of health and safety: the experience of Italy Crown Aerosols on the monitoring of behavior].

Science.gov (United States)

de Merich, D; Pellicci, M; Serignoli, R

2010-01-01

Within the intelligence support and training to small and medium-sized enterprises (SMEs) and promoting a culture of health and safety at work, ISPESL is engaged on two fundamental pillars of activity: Consolidation of the national surveillance system of injuries through the promotion of methods and tools for the reconstruction of the dynamics incidental identification of causal determinants, with the aim of improving the capabilities of risk assessment of systems to prevent corporate. The promotion of good working practices, as Focal Point of the European Health and Safety at Work in Bilbao, the goal is to support prevention activities by providing business application examples of measures for improvement (technical, organizational, procedural) made in the proposing firms and validated by a technical appraisal conducted by ISPESL. Among the methodologies and tools that can be made available to companies in the operational management of health and safety in work activities, the approach to analyze and evaluate the behavior implemented by all persons within the company (managers, employees, workers) is a the most innovative preventive strategies that can be implemented to correct any improper practices behavioral wrongly tolerated in everyday work practice. The experience of Crown Aerosol Italy, the program "STOP TO ACCIDENTS, 2009 Best Practices award in the competition on the theme" Risk Assessment ", aims to demonstrate how the application of a method for monitoring behavior at work, shared in its planning with all those business, has not only reached but would assist the organization has developed at an individual level greater awareness and sense of responsibility also to their colleagues, by promoting good working practices.

Accuracy of a radiofrequency identification (RFID) badge system to monitor hand hygiene behavior during routine clinical activities.

Science.gov (United States)

Pineles, Lisa L; Morgan, Daniel J; Limper, Heather M; Weber, Stephen G; Thom, Kerri A; Perencevich, Eli N; Harris, Anthony D; Landon, Emily

2014-02-01

Hand hygiene (HH) is a critical part of infection prevention in health care settings. Hospitals around the world continuously struggle to improve health care personnel (HCP) HH compliance. The current gold standard for monitoring compliance is direct observation; however, this method is time-consuming and costly. One emerging area of interest involves automated systems for monitoring HH behavior such as radiofrequency identification (RFID) tracking systems. To assess the accuracy of a commercially available RFID system in detecting HCP HH behavior, we compared direct observation with data collected by the RFID system in a simulated validation setting and to a real-life clinical setting over 2 hospitals. A total of 1,554 HH events was observed. Accuracy for identifying HH events was high in the simulated validation setting (88.5%) but relatively low in the real-life clinical setting (52.4%). This difference was significant (P RFID system, almost half of the HH events were missed. More research is necessary to further develop these systems and improve accuracy prior to widespread adoption. Copyright © 2014 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

Anticipated regret and health behavior: A meta-analysis.

Science.gov (United States)

Brewer, Noel T; DeFrank, Jessica T; Gilkey, Melissa B

2016-11-01

Risk beliefs are central to most theories of health behavior, yet many unanswered questions remain about an increasingly studied risk construct, anticipated regret. The authors sought to better understand anticipated regret's role in motivating health behaviors. The authors systematically searched electronic databases for studies of anticipated regret and behavioral intentions or health behavior. They used random effects meta-analysis to synthesize effect sizes from 81 studies (n = 45,618). Anticipated regret was associated with both intentions (r+ = .50, p emotions and risk appraisals. Anticipated inaction regret has a stronger and more stable association with health behavior than previously thought. The field should give greater attention to understanding how anticipated regret differs from similar constructs, its role in health behavior theory, and its potential use in health behavior interventions. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Oral health related knowledge and health behavior of parents and school children

OpenAIRE

Lalić Maja; Aleksić Ema; Gajić Mihajlo; Malešević Đoka

2013-01-01

Introduction. The family provides the background for developing behaviors, attitudes and knowledge related to oral health of children. The aim of this study was to compare oral health behavior of parents and their children and to asses the impact of parental behavior on children’s oral health. Material and Methods. This cross-sectional study included 99 parent - child pairs (12 to 15 years old). Data on oral health behavior, knowledge and attitudes regarding oral hygiene, fluorides and ...

Nativity, Chronic Health Conditions, and Health Behaviors in Filipino Americans.

Science.gov (United States)

Bayog, Maria L G; Waters, Catherine M

2018-05-01

Nearly half of Americans have a chronic health condition related to unhealthful behavior. One in four Americans is an immigrant; yet immigrants' health has been studied little, particularly among Asian American subpopulations. Years lived in United States, hypertension, diabetes, smoking, walking, adiposity, and fruit/vegetable variables in the 2011-2012 California Health Interview Survey were analyzed to examine the influence of nativity on chronic health conditions and health behaviors in 555 adult Filipinos, the second largest Asian American immigrant subpopulation. Recent and long-term immigrant Filipinos had higher odds of having hypertension and diabetes, but lower odds of smoking and overweight/obesity compared with second-generation Filipinos. Being born in the United States may be protective against chronic health conditions, but not for healthful behaviors among Filipinos. Chronic disease prevention and health promotion strategies should consider nativity/length of residence, which may be a more consequential health determinant than other immigration and acculturation characteristics.

Parental Monitoring Among Young Men Who Have Sex With Men: Associations With Sexual Activity and HIV-Related Sexual Risk Behaviors.

Science.gov (United States)

Thoma, Brian C

2017-09-01

Young men who have sex with men (YMSM) are at disproportionate risk for HIV infection. Parental monitoring is protective against adolescent sexual risk behavior among heterosexual adolescents, yet it is unclear whether these findings generalize to YMSM. YMSM experience unique family dynamics during adolescence, including coming out to parents and parental rejection of sexual orientation. The present study examined how theoretically derived parental monitoring constructs were associated with sexual activity and sexual risk behaviors among YMSM. YMSM aged 14-18 years completed a cross-sectional online survey (n = 646). Factor analysis was completed to determine factor structure of monitoring measure. Sexual behaviors were predicted from monitoring constructs and covariates within regression models. Parental knowledge and adolescent disclosure, parental solicitation, parental control, and adolescent secret-keeping emerged as four distinct monitoring constructs among YMSM. Higher knowledge and disclosure (b = -.32, p = .022), higher control (b = -.28, p = .006), lower solicitation (b = .31, p = .008), and lower secret-keeping (b = .25, p = .015) were associated with lower odds of sexual activity with males in the past 6 months. Higher knowledge and disclosure (b = -.12, p = .016), higher control (b = -.08, p = .039), and lower secret-keeping (b = .11, p = .005) were associated with having fewer recent sexual partners. Monitoring constructs were unassociated with condomless anal intercourse instances among sexually active YMSM. YMSM disclosure is closely tied with parental knowledge, and parents should foster relationships and home environments where YMSM are comfortable disclosing information freely. Effective parental monitoring could limit YMSM's opportunities for sexual activity, but monitoring is not sufficient to protect against HIV-related sexual risk behaviors among sexually active YMSM. Copyright © 2017 Society for Adolescent Health and

Internal health locus of control predicts willingness to track health behaviors online and with smartphone applications.

Science.gov (United States)

Bennett, Brooke L; Goldstein, Carly M; Gathright, Emily C; Hughes, Joel W; Latner, Janet D

2017-12-01

Given rising technology use across all demographic groups, digital interventions offer a potential strategy for increasing access to health information and care. Research is lacking on identifying individual differences that impact willingness to use digital interventions, which may affect patient engagement. Health locus of control, the amount of control an individual believes they have over their own health, may predict willingness to use mobile health (mHealth) applications ('apps') and online trackers. A cross-sectional study (n = 276) was conducted to assess college students' health locus of control beliefs and willingness to use health apps and online trackers. Internal and powerful other health locus of control beliefs predicted willingness to use health apps and online trackers while chance health locus of control beliefs did not. Individuals with internal and powerful other health locus of control beliefs are more willing than those with chance health locus of control beliefs to utilize a form of technology to monitor or change health behaviors. Health locus of control is an easy-to-assess patient characteristic providers can measure to identify which patients are more likely to utilize mHealth apps and online trackers.

Additional self-monitoring tools in the dietary modification component of The Women's Health Initiative.

Science.gov (United States)

Mossavar-Rahmani, Yasmin; Henry, Holly; Rodabough, Rebecca; Bragg, Charlotte; Brewer, Amy; Freed, Trish; Kinzel, Laura; Pedersen, Margaret; Soule, C Oehme; Vosburg, Shirley

2004-01-01

Self-monitoring promotes behavior changes by promoting awareness of eating habits and creates self-efficacy. It is an important component of the Women's Health Initiative dietary intervention. During the first year of intervention, 74% of the total sample of 19,542 dietary intervention participants self-monitored. As the study progressed the self-monitoring rate declined to 59% by spring 2000. Participants were challenged by inability to accurately estimate fat content of restaurant foods and the inconvenience of carrying bulky self-monitoring tools. In 1996, a Self-Monitoring Working Group was organized to develop additional self-monitoring options that were responsive to participant needs. This article describes the original and additional self-monitoring tools and trends in tool use over time. Original tools were the Food Diary and Fat Scan. Additional tools include the Keeping Track of Goals, Quick Scan, Picture Tracker, and Eating Pattern Changes instruments. The additional tools were used by the majority of participants (5,353 of 10,260 or 52% of participants who were self-monitoring) by spring 2000. Developing self-monitoring tools that are responsive to participant needs increases the likelihood that self-monitoring can enhance dietary reporting adherence, especially in long-term clinical trials.

Behavioral health service utilization and preferences of older adults receiving home-based aging services.

Science.gov (United States)

Gum, Amber M; Iser, Lindsay; Petkus, Andrew

2010-06-01

To examine use of behavioral health services, treatment preferences, and facilitators and barriers to service use in older adults receiving home-based services within the aging network. Cross-sectional survey. Interviews were conducted in participants' homes. One hundred forty-two clients receiving home-based aging services. Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; Brief Symptom Inventory-18; Discrimination-Devaluation Scale; utilization of behavioral health services; and preferences, facilitators, and barriers for behavioral health services. Use of psychotropic medication was high (54.2%), primarily received in primary care settings (58.8%), with a few visits a year (54.0%). Participants were more likely to be taking psychotropic medication if they were younger and white. Approximately one-third of participants on antidepressant or antianxiety medication still met criteria for an Axis I disorder. Twenty-one participants (14.8%) reported receiving counseling within the past year, with a few visits or less a year for most (57.1%). Almost all were willing to see at least one professional (97.2%) and try prescribed medications or counseling (90.1%). The most common barriers to service use were practical: affordability (71.8%), difficulty traveling (62.7%), and lack of transportation (45.8%). Aging network clients receiving home-based services have ready access to psychotropic medications but receive very few specialty behavioral health services and medication monitoring visits. They are willing to use a variety of behavioral health services and perceive mainly practical barriers to using services. The aging network has significant potential to enhance access to service utilization; strategies for integrating behavioral health services in the aging network are discussed.

Youth Risk Behavior Surveillance System (YRBSS)

Data.gov (United States)

U.S. Department of Health & Human Services — The Youth Risk Behavior Surveillance System (YRBSS) monitors 6 types of health-risk behaviors that contribute to the leading causes of death and disability among...

Transformational leadership behaviors in allied health professions.

Science.gov (United States)

Wylie, David A; Gallagher, Helen L

2009-01-01

The aim of this study was to explore self-reported transformational leadership behavior profiles within the six largest allied health profession groups in the National Health Service in Scotland and to determine whether factors such as seniority of grade, locus of employment, and/or leadership training have a positive influence on transformational leadership behaviors. A postal survey comprising the shorter version of the Multifactorial Leadership Questionnaire (MLQ) and contextual demographic information was completed by 753 allied health professionals from four Health Board areas across Scotland who were randomly selected through a modified cluster sampling technique. The MLQ contains 36 items that measure nine identified leadership factors; however, only the responses to the five transformational leadership factors are reported here. The study identified significant differences in transformational leadership behaviors between individual allied health professions. Radiographers and podiatrists scored consistently lower than the other professional groups across the range of transformational behaviors. Seniority of grade significantly influenced the scores, with higher-graded staff reporting greater leadership behaviors (p leadership training also positively influenced transformational behaviors (p transformational leadership behaviors between individual allied health professions, indicating that some professional groups are inherently advantaged in embracing the modernization agenda. This highlights an as-yet missed opportunity for effectively targeting and evaluating multidisciplinary leadership training programs across the allied health professions.

Understanding Health and Health-Related Behavior of Users of Internet Health Information.

Science.gov (United States)

Wimble, Matt

2016-10-01

Little is known about how actual use of Internet health-related information is associated with health or health-related behavior. Using a nationally representative sample of 34,525 from 2012, this study examined the demographics of users of Internet health-related information (users), reports estimates of association with several health and behavioral outcomes adjusting for demographic factors, and analyzed the sample by education level, race, gender, and age. Analysis of a large nationally representative sample shows evidence that users of health-related information (users) on the Internet are younger, more educated, more likely to be insured, more likely to be female, and less likely to be African American. After adjusting for demographic differences, users are more likely to have been diagnosed with hypertension, cancer, stroke, and high cholesterol, but no evidence of current hypertension, weight-related issues, or being in fair or poor health. Users are less likely to smoke and among smokers are more likely to attempt quitting. Users are more likely to exercise, get a flu shot, pap smear, mammogram, HIV test, colon cancer screening, blood pressure check, and cholesterol check, but likely to be heavy drinkers. With few exceptions, results appear robust across gender, age groups, level of education, and ethnicity. Use is generally positively associated with prior diagnosis for several conditions and behaviors related to improved health, but I find no relationship with existing health status. The association between use of health-related Internet information and health-related behavior seems robust across levels of education, age, gender, and race.

The role of health-related behaviors in the socioeconomic disparities in oral health.

Science.gov (United States)

Sabbah, Wael; Tsakos, Georgios; Sheiham, Aubrey; Watt, Richard G

2009-01-01

This study aimed to examine the socioeconomic disparities in health-related behaviors and to assess if behaviors eliminate socioeconomic disparities in oral health in a nationally representative sample of adult Americans. Data are from the US Third National Health and Nutrition Examination Survey (1988-1994). Behaviors were indicated by smoking, dental visits, frequency of eating fresh fruits and vegetables and extent of calculus, used as a marker for oral hygiene. Oral health outcomes were gingival bleeding, loss of periodontal attachment, tooth loss and perceived oral health. Education and income indicated socioeconomic position. Sex, age, ethnicity, dental insurance and diabetes were adjusted for in the regression analysis. Regression analysis was used to assess socioeconomic disparities in behaviors. Regression models adjusting and not adjusting for behaviors were compared to assess the change in socioeconomic disparities in oral health. The results showed clear socioeconomic disparities in all behaviors. After adjusting for behaviors, the association between oral health and socioeconomic indicators attenuated but did not disappear. These findings imply that improvement in health-related behaviors may lessen, but not eliminate socioeconomic disparities in oral health, and suggest the presence of more complex determinants of these disparities which should be addressed by oral health preventive policies.

Youth Risk Behavior Surveillance System

Science.gov (United States)

... Youth Risk Behavior Surveillance System (YRBSS) monitors six types of health-risk behaviors that contribute to the leading causes of death and disability among youth and adults, including— Behaviors that contribute ...

Evaluation of the Accuracy of Astroskin as a Behavioral Health Self-Monitoring System for Spaceflight

Science.gov (United States)

Kumar, Arun; Levin, Edwin; Cowings, Patricia; Toscano, William B.

2015-01-01

In space, there is a need to monitor astronauts' vital signs and assess their readiness to perform specific tasks during a mission. Currently, NASA does not have the capability to noninvasively monitor crew for extended periods of time. The Canadian Space Agency is working with the Psychophysiology Lab at NASA ARC to determine if the Astroskin could be used as a solution to this problem. Astroskin, a commercially available garment with built-in biosensors, can be comfortably worn under clothing or a spacesuit and relay information to the crewman's own mobile device. Data can also be sent wirelessly to the on-board Exploration Medical System. To determine if Astroskin meets requirements for health monitoring, it must first be validated in spaceflight analog environments. In the current study Astroskin data will be compared to traditional biomedical instrument measures of electrocardiography (ECG), respiration rate, and systolic blood pressure. The data will be recorded during Autogenic Feedback Training Exercise (AFTE), which is a type of physiological self-regulation training designed for astronauts. The data will also be recorded during simulations of the Orion spacecraft re-entry. The results to date suggest that Astroskin is a suitable ambulatory monitoring system that allows astronauts to self-diagnose and self-regulate adverse autonomic nervous system responses to sustained exposure to microgravity of spaceflight.

Introduction to:Forest health monitoring program

Science.gov (United States)

Mark J. Ambrose

2009-01-01

This annual technical report is a product of the Forest Health Monitoring (FHM) Program. The report provides information about a variety of issues relating to forest health at a national scale. FHM national reports have the dual focus of presenting analyses of the latest available data and showcasing innovative techniques for analyzing forest health data. The report is...

Burnout and health behaviors in health professionals from seven European countries.

Science.gov (United States)

Alexandrova-Karamanova, Anna; Todorova, Irina; Montgomery, Anthony; Panagopoulou, Efharis; Costa, Patricia; Baban, Adriana; Davas, Asli; Milosevic, Milan; Mijakoski, Dragan

2016-10-01

Within an underlying health-impairing process, work stressors exhaust employees' mental and physical resources and lead to exhaustion/burnout and to health problems, with health-impairing behaviors being one of the potential mechanisms, linking burnout to ill health. The study aims to explore the associations between burnout and fast food consumption, exercise, alcohol consumption and painkiller use in a multinational sample of 2623 doctors, nurses and residents from Greece, Portugal, Bulgaria, Romania, Turkey, Croatia and Macedonia, adopting a cross-national approach. Data are part of the international cross-sectional quantitative ORCAB survey. The measures included the Maslach Burnout Inventory and the Health Behaviors Questionnaire. Burnout was significantly positively associated with higher fast food consumption, infrequent exercise, higher alcohol consumption and more frequent painkiller use in the full sample, and these associations remained significant after the inclusion of individual differences factors and country of residence. Cross-national comparisons showed significant differences in burnout and health behaviors, and some differences in the statistical significance and magnitude (but not the direction) of the associations between them. Health professionals from Turkey, Greece and Bulgaria reported the most unfavorable experiences. Burnout and risk health behaviors among health professionals are important both in the context of health professionals' health and well-being and as factors contributing to medical errors and inadequate patient safety. Organizational interventions should incorporate early identification of such behaviors together with programs promoting health and aimed at the reduction of burnout and work-related stress.

Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review

Science.gov (United States)

Freeman, Becky; Li, Mu

2016-01-01

Background Globally, mobile phones have achieved wide reach at an unprecedented rate, and mobile phone apps have become increasingly prevalent among users. The number of health-related apps that were published on the two leading platforms (iOS and Android) reached more than 100,000 in 2014. However, there is a lack of synthesized evidence regarding the effectiveness of mobile phone apps in changing people’s health-related behaviors. Objective The aim was to examine the effectiveness of mobile phone apps in achieving health-related behavior change in a broader range of interventions and the quality of the reported studies. Methods We conducted a comprehensive bibliographic search of articles on health behavior change using mobile phone apps in peer-reviewed journals published between January 1, 2010 and June 1, 2015. Databases searched included Medline, PreMedline, PsycINFO, Embase, Health Technology Assessment, Education Resource Information Center (ERIC), and Cumulative Index to Nursing and Allied Health Literature (CINAHL). Articles published in the Journal of Medical Internet Research during that same period were hand-searched on the journal’s website. Behavior change mechanisms were coded and analyzed. The quality of each included study was assessed by the Cochrane Risk of Bias Assessment Tool. Results A total of 23 articles met the inclusion criteria, arranged under 11 themes according to their target behaviors. All studies were conducted in high-income countries. Of these, 17 studies reported statistically significant effects in the direction of targeted behavior change; 19 studies included in this analysis had a 65% or greater retention rate in the intervention group (range 60%-100%); 6 studies reported using behavior change theories with the theory of planned behavior being the most commonly used (in 3 studies). Self-monitoring was the most common behavior change technique applied (in 12 studies). The studies suggest that some features improve the

Self-Monitoring: A Behavioral Intervention for Children Attending Head Start

Science.gov (United States)

Riggleman, Samantha

2017-01-01

Addressing the needs of preschoolers with behavioral problems is important, as these issues often have long-term impacts on the outcomes of students (Fox et al., 2002). Self-monitoring strategies and techniques have the potential to improve the outcomes of this population of children. Self-monitoring requires students to pay attention to a…

Behavioral health and health care reform models: patient-centered medical home, health home, and accountable care organization.

Science.gov (United States)

Bao, Yuhua; Casalino, Lawrence P; Pincus, Harold Alan

2013-01-01

Discussions of health care delivery and payment reforms have largely been silent about how behavioral health could be incorporated into reform initiatives. This paper draws attention to four patient populations defined by the severity of their behavioral health conditions and insurance status. It discusses the potentials and limitations of three prominent models promoted by the Affordable Care Act to serve populations with behavioral health conditions: the Patient-Centered Medical Home, the Health Home initiative within Medicaid, and the Accountable Care Organization. To incorporate behavioral health into health reform, policymakers and practitioners may consider embedding in the reform efforts explicit tools-accountability measures and payment designs-to improve access to and quality of care for patients with behavioral health needs.

Associations of eHealth Literacy With Health Behavior Among Adult Internet Users.

Science.gov (United States)

Mitsutake, Seigo; Shibata, Ai; Ishii, Kaori; Oka, Koichiro

2016-07-18

In the rapidly developing use of the Internet in society, eHealth literacy-having the skills to utilize health information on the Internet-has become an important prerequisite for promoting healthy behavior. However, little is known about whether eHealth literacy is associated with health behavior in a representative sample of adult Internet users. The aim of this study was to examine the association between eHealth literacy and general health behavior (cigarette smoking, physical exercise, alcohol consumption, sleeping hours, eating breakfast, eating between meals, and balanced nutrition) among adult Internet users in Japan. The participants were recruited among registrants of a Japanese Internet research service company and asked to answer a cross-sectional Internet-based survey in 2012. The potential respondents (N=10,178) were randomly and blindly invited via email from the registrants in accordance with the set sample size and other attributes. eHealth literacy was assessed using the Japanese version of the eHealth Literacy Scale. The self-reported health behaviors investigated included never smoking cigarettes, physical exercise, alcohol consumption, sleeping hours, eating breakfast, not eating between meals, and balanced nutrition. We obtained details of sociodemographic attributes (sex, age, marital status, educational attainment, and household income level) and frequency of conducting Internet searches. To determine the association of each health behavior with eHealth literacy, we performed a logistic regression analysis; we adjusted for sociodemographic attributes and frequency of Internet searching as well as for other health behaviors that were statistically significant with respect to eHealth literacy in univariate analyses. We analyzed the data of 2115 adults (response rate: 24.04%, 2142/10,178; male: 49.74%, 1052/2115; age: mean 39.7, SD 10.9 years) who responded to the survey. Logistic regression analysis showed that individuals with high eHealth

Perceived health competence predicts health behavior and health-related quality of life in patients with cardiovascular disease.

Science.gov (United States)

Bachmann, Justin M; Goggins, Kathryn M; Nwosu, Samuel K; Schildcrout, Jonathan S; Kripalani, Sunil; Wallston, Kenneth A

2016-12-01

Evaluate the effect of perceived health competence, a patient's belief in his or her ability to achieve health-related goals, on health behavior and health-related quality of life. We analyzed 2063 patients hospitalized with acute coronary syndrome and/or congestive heart failure at a large academic hospital in the United States. Multivariable linear regression models investigated associations between the two-item perceived health competence scale (PHCS-2) and positive health behaviors such as medication adherence and exercise (Health Behavior Index) as well as health-related quality of life (5-item Patient Reported Outcome Information Measurement System Global Health Scale). After multivariable adjustment, perceived health competence was highly associated with health behaviors (pperceived health competence was associated with a decrease in health-related quality of life between hospitalization and 90days after discharge (pPerceived health competence predicts health behavior and health-related quality of life in patients hospitalized with cardiovascular disease as well as change in health-related quality of life after discharge. Patients with low perceived health competence may be at risk for a decline in health-related quality of life after hospitalization and thus a potential target for counseling and other behavioral interventions. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Wealth and health behavior: Testing the concept of a health cost

NARCIS (Netherlands)

J.L.W. van Kippersluis (Hans); T.J. Galama (Titus)

2014-01-01

textabstractWealthier individuals engage in healthier behavior. This paper seeks to explain this phenomenon by exploiting both inheritances and lottery winnings to test a theory of health behavior. We distinguish between the direct monetary cost and the indirect health cost (value of health lost) of

Health Behavior Theory in Physical Activity Game Apps: A Content Analysis.

Science.gov (United States)

Payne, Hannah E; Moxley, Victor Ba; MacDonald, Elizabeth

2015-07-13

Physical activity games developed for a mobile phone platform are becoming increasingly popular, yet little is known about their content or inclusion of health behavior theory (HBT). The objective of our study was to quantify elements of HBT in physical activity games developed for mobile phones and to assess the relationship between theoretical constructs and various app features. We conducted an analysis of exercise and physical activity game apps in the Apple App Store in the fall of 2014. A total of 52 apps were identified and rated for inclusion of health behavior theoretical constructs using an established theory-based rubric. Each app was coded for 100 theoretical items, containing 5 questions for 20 different constructs. Possible total theory scores ranged from 0 to 100. Descriptive statistics and Spearman correlations were used to describe the HBT score and association with selected app features, respectively. The average HBT score in the sample was 14.98 out of 100. One outlier, SuperBetter, scored higher than the other apps with a score of 76. Goal setting, self-monitoring, and self-reward were the most-reported constructs found in the sample. There was no association between either app price and theory score (P=.5074), or number of gamification elements and theory score (P=.5010). However, Superbetter, with the highest HBT score, was also the most expensive app. There are few content analyses of serious games for health, but a comparison between these findings and previous content analyses of non-game health apps indicates that physical activity mobile phone games demonstrate higher levels of behavior theory. The most common theoretical constructs found in this sample are known to be efficacious elements in physical activity interventions. It is unclear, however, whether app designers consciously design physical activity mobile phone games with specific constructs in mind; it may be that games lend themselves well to inclusion of theory and any

Workplace social capital, mental health and health behaviors among Brazilian female workers.

Science.gov (United States)

Pattussi, Marcos Pascoal; Olinto, Maria Teresa Anselmo; Canuto, Raquel; da Silva Garcez, Anderson; Paniz, Vera Maria Vieira; Kawachi, Ichiro

2016-09-01

Previous studies have investigated the relationship between workplace social capital and mental health, yet few have sought to examine the mediating mechanisms. We sought to explore the role of workplace social capital on health related behaviors and on mental health among female employees in Brazil. A cross-sectional study was undertaken with 553 women aged 28-50 years working in the production line of a poultry processing plant. We assessed workplace social capital, common mental disorders, stress (Perceived Stress Scale) and health related behaviors (physical activity, healthy eating habits and co-occurrence of risk behaviors). We used structural equation modeling to clarify relationships between exposures, outcomes, and mediating variables. Our model demonstrated a direct effect of social capital on the outcomes studied. Higher workplace social capital was associated with lower stress and common mental disorders as well as more favorable health-related behaviors. Our model also showed an indirect effect of social capital on mental health and on behaviors that was mediated by lower levels of perceived stress. Workplace social cohesion may play an important role in the promotion of mental health and healthy behaviors among women employees.

eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management

Directory of Open Access Journals (Sweden)

Rollo ME

2016-11-01

Full Text Available Megan E Rollo,1 Elroy J Aguiar,2 Rebecca L Williams,1 Katie Wynne,3 Michelle Kriss,3 Robin Callister,4 Clare E Collins1 1School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia; 2Department of Kinesiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA; 3Department of Diabetes and Endocrinology, John Hunter Hospital, Hunter New England Health, New Lambton, NSW, Australia;\t4School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia Abstract: Diabetes is a chronic, complex condition requiring sound knowledge and self-management skills to optimize glycemic control and health outcomes. Dietary intake and physical activity are key diabetes self-management (DSM behaviors that require tailored education and support. Electronic health (eHealth technologies have a demonstrated potential for assisting individuals with DSM behaviors. This review provides examples of technologies used to support nutrition and physical activity behaviors in the context of DSM. Technologies covered include those widely used for DSM, such as web-based programs and mobile phone and smartphone applications. In addition, examples of novel tools such as virtual and augmented reality, video games, computer vision for dietary carbohydrate monitoring, and wearable devices are provided. The challenges to, and facilitators for, the use of eHealth technologies in DSM are discussed. Strategies to support the implementation of eHealth technologies within practice and suggestions for future research to enhance nutrition and physical activity behaviors as a part of broader DSM are provided. Keywords: diabetes self-management, eHealth, nutrition, physical activity, smartphones, wearables

Comparison of health risk behavior, awareness, and health benefit beliefs of health science and non-health science students: An international study.

Science.gov (United States)

Peltzer, Karl; Pengpid, Supa; Yung, Tony K C; Aounallah-Skhiri, Hajer; Rehman, Rehana

2016-06-01

This study determines the differences in health risk behavior, knowledge, and health benefit beliefs between health science and non-health science university students in 17 low and middle income countries. Anonymous questionnaire data were collected in a cross-sectional survey of 13,042 undergraduate university students (4,981 health science and 8,061 non-health science students) from 17 universities in 17 countries across Asia, Africa, and the Americas. Results indicate that overall, health science students had the same mean number of health risk behaviors as non-health science university students. Regarding addictive risk behavior, fewer health science students used tobacco, were binge drinkers, or gambled once a week or more. Health science students also had a greater awareness of health behavior risks (5.5) than non-health science students (4.6). Linear regression analysis found a strong association with poor or weak health benefit beliefs and the health risk behavior index. There was no association between risk awareness and health risk behavior among health science students and an inverse association among non-health science students. © 2015 Wiley Publishing Asia Pty Ltd.

Development of a health information technology acceptance model using consumers' health behavior intention.

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Kim, Jeongeun; Park, Hyeoun-Ae

2012-10-01

For effective health promotion using health information technology (HIT), it is mandatory that health consumers have the behavioral intention to measure, store, and manage their own health data. Understanding health consumers' intention and behavior is needed to develop and implement effective and efficient strategies. To develop and verify the extended Technology Acceptance Model (TAM) in health care by describing health consumers' behavioral intention of using HIT. This study used a cross-sectional descriptive correlational design. We extended TAM by adding more antecedents and mediating variables to enhance the model's explanatory power and to make it more applicable to health consumers' behavioral intention. Additional antecedents and mediating variables were added to the hypothetical model, based on their theoretical relevance, from the Health Belief Model and theory of planned behavior, along with the TAM. We undertook structural equation analysis to examine the specific nature of the relationship involved in understanding consumers' use of HIT. Study participants were 728 members recruited from three Internet health portals in Korea. Data were collected by a Web-based survey using a structured self-administered questionnaire. The overall fitness indices for the model developed in this study indicated an acceptable fit of the model. All path coefficients were statistically significant. This study showed that perceived threat, perceived usefulness, and perceived ease of use significantly affected health consumers' attitude and behavioral intention. Health consumers' health status, health belief and concerns, subjective norm, HIT characteristics, and HIT self-efficacy had a strong indirect impact on attitude and behavioral intention through the mediators of perceived threat, perceived usefulness, and perceived ease of use. An extended TAM in the HIT arena was found to be valid to describe health consumers' behavioral intention. We categorized the concepts in

Dedicated pediatric behavioral health unit: serving the unique and individual needs of children in behavioral health crisis.

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Grover, Purva; Lee, Timothy

2013-02-01

Pediatric mental health emergencies are an increasing part of emergency medical practice because emergency departments have become the safety net for a fragmented mental health infrastructure that is experiencing critical shortages in services in all sectors. The emergency services for behavioral health unit at Akron Children's Hospital is an innovative model for delivering care to pediatric patients with mental health emergencies. A multidisciplinary team using the expertise of emergency services, psychiatry, social work, parent advisory counsel, security services, and engineering/architecture developed the emergency services for behavioral health unit blueprint, process, and staffing model.

Equity-Oriented Monitoring in the Context of Universal Health Coverage

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Hosseinpoor, Ahmad Reza; Bergen, Nicole; Koller, Theadora; Prasad, Amit; Schlotheuber, Anne; Valentine, Nicole; Lynch, John; Vega, Jeanette

2014-01-01

Monitoring inequalities in health is fundamental to the equitable and progressive realization of universal health coverage (UHC). A successful approach to global inequality monitoring must be intuitive enough for widespread adoption, yet maintain technical credibility. This article discusses methodological considerations for equity-oriented monitoring of UHC, and proposes recommendations for monitoring and target setting. Inequality is multidimensional, such that the extent of inequality may vary considerably across different dimensions such as economic status, education, sex, and urban/rural residence. Hence, global monitoring should include complementary dimensions of inequality (such as economic status and urban/rural residence) as well as sex. For a given dimension of inequality, subgroups for monitoring must be formulated taking into consideration applicability of the criteria across countries and subgroup heterogeneity. For economic-related inequality, we recommend forming subgroups as quintiles, and for urban/rural inequality we recommend a binary categorization. Inequality spans populations, thus appropriate approaches to monitoring should be based on comparisons between two subgroups (gap approach) or across multiple subgroups (whole spectrum approach). When measuring inequality absolute and relative measures should be reported together, along with disaggregated data; inequality should be reported alongside the national average. We recommend targets based on proportional reductions in absolute inequality across populations. Building capacity for health inequality monitoring is timely, relevant, and important. The development of high-quality health information systems, including data collection, analysis, interpretation, and reporting practices that are linked to review and evaluation cycles across health systems, will enable effective global and national health inequality monitoring. These actions will support equity-oriented progressive realization of UHC

Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure

Directory of Open Access Journals (Sweden)

You-Liang Ding

2015-01-01

Full Text Available Nanjing Dashengguan Bridge, which serves as the shared corridor crossing Yangtze River for both Beijing-Shanghai high-speed railway and Shanghai-Wuhan-Chengdu railway, is the first 6-track high-speed railway bridge with the longest span throughout the world. In order to ensure safety and detect the performance deterioration during the long-time service of the bridge, a Structural Health Monitoring (SHM system has been implemented on this bridge by the application of modern techniques in sensing, testing, computing, and network communication. The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection. Furthermore, an evaluation system of structural safety has been developed for the real-time condition assessment of this bridge. The mathematical correlation models describing the overall structural behavior of the bridge can be obtained with the support of the health monitoring system, which includes cross-correlation models for accelerations, correlation models between temperature and static strains of steel truss arch, and correlation models between temperature and longitudinal displacements of piers. Some evaluation results using the mean value control chart based on mathematical correlation models are presented in this paper to show the effectiveness of this SHM system in detecting the bridge’s abnormal behaviors under the varying environmental conditions such as high-speed trains and environmental temperature.

Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure

Science.gov (United States)

Wu, Lai-Yi

2015-01-01

Nanjing Dashengguan Bridge, which serves as the shared corridor crossing Yangtze River for both Beijing-Shanghai high-speed railway and Shanghai-Wuhan-Chengdu railway, is the first 6-track high-speed railway bridge with the longest span throughout the world. In order to ensure safety and detect the performance deterioration during the long-time service of the bridge, a Structural Health Monitoring (SHM) system has been implemented on this bridge by the application of modern techniques in sensing, testing, computing, and network communication. The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection. Furthermore, an evaluation system of structural safety has been developed for the real-time condition assessment of this bridge. The mathematical correlation models describing the overall structural behavior of the bridge can be obtained with the support of the health monitoring system, which includes cross-correlation models for accelerations, correlation models between temperature and static strains of steel truss arch, and correlation models between temperature and longitudinal displacements of piers. Some evaluation results using the mean value control chart based on mathematical correlation models are presented in this paper to show the effectiveness of this SHM system in detecting the bridge's abnormal behaviors under the varying environmental conditions such as high-speed trains and environmental temperature. PMID:26451387

Structural health monitoring system/method using electroactive polymer fibers

Science.gov (United States)

Scott-Carnell, Lisa A. (Inventor); Siochi, Emilie J. (Inventor)

2013-01-01

A method for monitoring the structural health of a structure of interest by coupling one or more electroactive polymer fibers to the structure and monitoring the electroactive responses of the polymer fiber(s). Load changes that are experienced by the structure cause changes in the baseline responses of the polymer fiber(s). A system for monitoring the structural health of the structure is also provided.

Why are there social gradients in preventative health behavior? A perspective from behavioral ecology.

Directory of Open Access Journals (Sweden)

Daniel Nettle

2010-10-01

Full Text Available Within affluent populations, there are marked socioeconomic gradients in health behavior, with people of lower socioeconomic position smoking more, exercising less, having poorer diets, complying less well with therapy, using medical services less, ignoring health and safety advice more, and being less health-conscious overall, than their more affluent peers. Whilst the proximate mechanisms underlying these behavioral differences have been investigated, the ultimate causes have not.This paper presents a theoretical model of why socioeconomic gradients in health behavior might be found. I conjecture that lower socioeconomic position is associated with greater exposure to extrinsic mortality risks (that is, risks that cannot be mitigated through behavior, and that health behavior competes for people's time and energy against other activities which contribute to their fitness. Under these two assumptions, the model shows that the optimal amount of health behavior to perform is indeed less for people of lower socioeconomic position.The model predicts an exacerbatory dynamic of poverty, whereby the greater exposure of poor people to unavoidable harms engenders a disinvestment in health behavior, resulting in a final inequality in health outcomes which is greater than the initial inequality in material conditions. I discuss the assumptions of the model, and its implications for strategies for the reduction of health inequalities.

Structural health monitoring with a wireless vibration sensor network

NARCIS (Netherlands)

Basten, T.G.H.; Sas, P; Schiphorst, F.B.A.; Jonckheere, S.; Moens, D.

2012-01-01

Advanced maintenance strategies for infrastructure assets such as bridges or off shore wind turbines require actual and reliable information of the maintenance status. Structural health monitoring based on vibration sensing can help in supplying the input needed for structural health monitoring

Does the perception that God controls health outcomes matter for health behaviors?

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Karvinen, Kristina H; Carr, Lucas J

2014-04-01

The purpose of this study was to examine the associations between God Locus of Health Control, health behaviors, and beliefs utilizing a cross-sectional online survey (N = 549). Results indicated that God Locus of Health Control was correlated with alcohol use, physical activity, perceived risk of chronic disease, and beliefs that poor health behaviors contribute to chronic disease (all p values God Locus of Health Control was only an independent correlate of the belief that physical inactivity contributed to chronic disease. Insights from this study may be important for future faith-based health behavior change interventions.

Complex systems and health behavior change: insights from cognitive science.

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Orr, Mark G; Plaut, David C

2014-05-01

To provide proof-of-concept that quantum health behavior can be instantiated as a computational model that is informed by cognitive science, the Theory of Reasoned Action, and quantum health behavior theory. We conducted a synthetic review of the intersection of quantum health behavior change and cognitive science. We conducted simulations, using a computational model of quantum health behavior (a constraint satisfaction artificial neural network) and tested whether the model exhibited quantum-like behavior. The model exhibited clear signs of quantum-like behavior. Quantum health behavior can be conceptualized as constraint satisfaction: a mitigation between current behavioral state and the social contexts in which it operates. We outlined implications for moving forward with computational models of both quantum health behavior and health behavior in general.

Connecting Smartphone and Wearable Fitness Tracker Data with a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial.

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Wang, Jing; Coleman, Deidra Carroll; Kanter, Justin; Ummer, Brad; Siminerio, Linda

2018-04-02

Mobile and wearable technology have been shown to be effective in improving diabetes self-management; however, integrating data from these technologies into clinical diabetes care to facilitate behavioral goal monitoring has not been explored. The objective of this paper is to report on a study protocol for a pragmatic multi-site trial along with the intervention components, including the detailed connected health interface. This interface was developed to integrate patient self-monitoring data collected from a wearable fitness tracker and its companion smartphone app to an electronic health record system for diabetes self-management education and support (DSMES) to facilitate behavioral goal monitoring. A 3-month multi-site pragmatic clinical trial was conducted with eligible patients with diabetes mellitus from DSMES programs. The Chronicle Diabetes system is currently freely available to diabetes educators through American Diabetes Association-recognized DSMES programs to set patient nutrition and physical activity goals. To integrate the goal-setting and self-monitoring intervention into the DSMES process, a connected interface in the Chronicle Diabetes system was developed. With the connected interface, patient self-monitoring information collected from smartphones and wearable fitness trackers can facilitate educators' monitoring of patients' adherence to their goals. Feasibility outcomes of the 3-month trial included hemoglobin A 1c levels, weight, and the usability of the connected system. An interface designed to connect data from a wearable fitness tracker with a companion smartphone app for nutrition and physical activity self-monitoring into a diabetes education electronic health record system was successfully developed to enable diabetes educators to facilitate goal setting and monitoring. A total of 60 eligible patients with type 2 diabetes mellitus were randomized into either group 1) standard diabetes education or 2) standard education enhanced with

Self-regulatory processes mediate the intention-behavior relation for adherence and exercise behaviors.

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de Bruin, Marijn; Sheeran, Paschal; Kok, Gerjo; Hiemstra, Anneke; Prins, Jan M; Hospers, Harm J; van Breukelen, Gerard J P

2012-11-01

Understanding the gap between people's intentions and actual health behavior is an important issue in health psychology. Our aim in this study was to investigate whether self-regulatory processes (monitoring goal progress and responding to discrepancies) mediate the intention-behavior relation in relation to HIV medication adherence (Study 1) and intensive exercise behavior (Study 2). In Study 1, questionnaire and electronically monitored adherence data were collected at baseline and 3 months later from patients in the control arm of an HIV-adherence intervention study. In Study 2, questionnaire data was collected at 3 time points 6-weeks apart in a cohort study of physical activity. Complete data at all time points were obtained from 51 HIV-infected patients and 499 intensive exercise participants. Intentions were good predictors of behavior and explained 25 to 30% of the variance. Self-regulatory processes explained an additional 11% (Study 1) and 6% (Study 2) of variance in behavior on top of intentions. Regression and bootstrap analyses revealed at least partial, and possibly full, mediation of the intention-behavior relation by self-regulatory processes. The present studies indicate that self-regulatory processes may explain how intentions drive behavior. Future tests, using different health behaviors and experimental designs, could firmly establish whether self-regulatory processes complement current health behavior theories and should become routine targets for intervention. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Work stress and health risk behavior.

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Siegrist, Johannes; Rödel, Andreas

2006-12-01

This contribution discusses current knowledge of associations between psychosocial stress at work and health risk behavior, in particular cigarette smoking, alcohol consumption and overweight, by reviewing findings from major studies in the field published between 1989 and 2006. Psychosocial stress at work is measured by the demand-control model and the effort-reward imbalance model. Health risk behavior was analyzed in the broader context of a health-related Western lifestyle with socially and economically patterned practices of consumption. Overall, the review, based on 46 studies, only modestly supports the hypothesis of a consistent association between work stress and health risk behavior. The relatively strongest relationships have been found with regard to heavy alcohol consumption among men, overweight, and the co-manifestation of several risks. Suggestions for further research are given, and the need to reduce stressful experience in the framework of worksite health promotion programs is emphasized.

Applying the Health Belief Model to college students' health behavior

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Kim, Hak-Seon; Ahn, Joo

2012-01-01

The purpose of this research was to investigate how university students' nutrition beliefs influence their health behavioral intention. This study used an online survey engine (Qulatrics.com) to collect data from college students. Out of 253 questionnaires collected, 251 questionnaires (99.2%) were used for the statistical analysis. Confirmatory Factor Analysis (CFA) revealed that six dimensions, "Nutrition Confidence," "Susceptibility," "Severity," "Barrier," "Benefit," "Behavioral Intention to Eat Healthy Food," and "Behavioral Intention to do Physical Activity," had construct validity; Cronbach's alpha coefficient and composite reliabilities were tested for item reliability. The results validate that objective nutrition knowledge was a good predictor of college students' nutrition confidence. The results also clearly showed that two direct measures were significant predictors of behavioral intentions as hypothesized. Perceived benefit of eating healthy food and perceived barrier for eat healthy food to had significant effects on Behavioral Intentions and was a valid measurement to use to determine Behavioral Intentions. These findings can enhance the extant literature on the universal applicability of the model and serve as useful references for further investigations of the validity of the model within other health care or foodservice settings and for other health behavioral categories. PMID:23346306

[Oral health related knowledge and health behavior of parents and school children].

Science.gov (United States)

Lalić, Maja; Aleksić, Ema; Gajić, Mihajlo; Malesević, Doka

2013-01-01

The family provides the background for developing behaviors, attitudes and knowledge related to oral health of children. The aim of this study was to compare oral health behavior of parents and their children and to asses the impact of parental behavior on children's oral health. This cross-sectional study included 99 parent--child pairs (12 to 15 years old). Data on oral health behavior, knowledge and attitudes regarding oral hygiene, fluorides and nutrition of parents and their children were collected by questionnaires. The parental dental health was assessed according to self-reported data on tooth loss and prosthodontic rehabilitation, while the dental status of children was determined by clinical examination. The parents reported the use of dental floss (p knowledge on fluorides. Approximately one third of parents thought they should not control sugar consumption of their child. There was a statistically significant correlation between parental oral hygiene and their habit to control the child in brushing with the child's oral health status. Oral health education activities directed towards the prevention of risk factors for developing caries should involve both parents and their children, because parental behavior is a significant predictor of children's oral health.

Principles in wireless building health monitoring systems.

Science.gov (United States)

Pentaris, F. P.; Makris, J. P.; Stonham, J.; Vallianatos, F.

2012-04-01

Monitoring the structural state of a building is essential for the safety of the people who work, live, visit or just use it as well as for the civil protection of urban areas. Many factors can affect the state of the health of a structure, namely man made, like mistakes in the construction, traffic, heavy loads on the structures, explosions, environmental impacts like wind loads, humidity, chemical reactions, temperature changes and saltiness, and natural hazards like earthquakes and landslides. Monitoring the health of a structure provides the ability to anticipate structural failures and secure the safe use of buildings especially those of public services. This work reviews the state of the art and the challenges of a wireless Structural Health Monitoring (WiSHM). Literature review reveals that although there is significant evolution in wireless structural health monitoring, in many cases, monitoring by itself is not enough to predict when a structure becomes inappropriate and/or unsafe for use, and the damage or low durability of a structure cannot be revealed (Chintalapudi, et al., 2006; Ramos, Aguilar, & Lourenço, 2011). Several features and specifications of WiSHM like wireless sensor networking, reliability and autonomy of sensors, algorithms of data transmission and analysis should still be evolved and improved in order to increase the predictive effectiveness of the SHM (Jinping Ou & Hui Li, 2010; Lu & Loh, 2010) . Acknowledgments This work was supported in part by the ARCHEMEDES III Program of the Ministry of Education of Greece and the European Union in the framework of the project entitled «Interdisciplinary Multi-Scale Research of Earthquake Physics and Seismotectonics at the front of the Hellenic Arc (IMPACT-ARC) ».

Risky music-listening behaviors and associated health-risk behaviors

NARCIS (Netherlands)

I. Vogel (Ineke); P.M. van de Looij-Jansen (Petra); C.L. Mieloo (Cathelijne); A. Burdorf (Alex); F. de Waart (Frouwkje)

2012-01-01

textabstractOBJECTIVE: To examine, among adolescents and emerging adults attending inner-city lower education, associations between risky music-listening behaviors (from MP3 players and in discotheques and at pop concerts) and more traditional health-risk behaviors: substance use (cigarettes,

Understanding Youth's Health-Compromising Behaviors in Germany: An Application of the Risk-Behavior Framework.

Science.gov (United States)

Hazard, Barbara P.; Lee, Che-Fu

1999-01-01

Analyzed the health-compromising behaviors of German youth using responses of 2,330 seventh, eighth, and ninth graders from the German Youth Study. Smoking and drinking are not seen by these students as health-threatening behaviors, but as socially appealing behaviors. Discusses implications for health education. (SLD)

Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks

DEFF Research Database (Denmark)

S. Nadimi, Esmaeil; Nyholm Jørgensen, Rasmus; Blanes-Vidal, Victoria

2012-01-01

Animal welfare is an issue of great importance in modern food production systems. Because animal behavior provides reliable information about animal health and welfare, recent research has aimed at designing monitoring systems capable of measuring behavioral parameters and transforming them...... into their corresponding behavioral modes. However, network unreliability and high-energy consumption have limited the applicability of those systems. In this study, a 2.4-GHz ZigBee-based mobile ad hoc wireless sensor network (MANET) that is able to overcome those problems is presented. The designed MANET showed high...... communication reliability, low energy consumption and low packet loss rate (14.8%) due to the deployment of modern communication protocols (e.g. multi-hop communication and handshaking protocol). The measured behavioral parameters were transformed into the corresponding behavioral modes using a multilayer...

Worksite Health Program Promoting Changes in Eating Behavior and Health Attitudes.

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Mache, Stefanie; Jensen, Sarah; Jahn, Reimo; Steudtner, Mirko; Ochsmann, Elke; Preuß, Geraldine

2015-11-01

The aim of the present study was to evaluate the effectiveness of a worksite multicomponent health promotion intervention on eating behavior and attitudes, changes in body weight, and readiness to make eating behavior changes among workers over a 12-month intervention period. A total of 3,095 workers of a logistic company participated in a quasi-experimental comparison group study design. The intervention group received a multicomponent health training. Two of the main elements of the multicomponent intervention were physical exercise training and nutrition counseling/training. During the pilot year, participants completed a survey at baseline and again after 12 months to assess physical activity-, health-, and diet-related factors. Results showed that participants' body weight did not significantly decrease in the intervention group. Mean weight loss in the intervention groups was 0.5 kg (body mass index = 0.1 kg/m(2)). Eating behaviors in the intervention group improved more than in the comparison group. Some positive intervention effects were observed for the cognitive factors (e.g., changes in eating attitudes). Baseline readiness to change eating behavior was significantly improved over time. We demonstrated initial results of a long-term multicomponent worksite health promotion program with regard to changes in body weight, eating behavior, and attitudes. This evaluation of a 12-month pilot study suggests that a worksite health promotion program may lead to improvements in nutritional health behaviors for a number of workers. An investigation of long-term effects of this multicomponent intervention is strongly recommended. © 2015 Society for Public Health Education.

Changing health behaviors with social marketing.

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Suarez-Almazor, M E

2011-08-01

Social marketing uses marketing techniques to promote healthy attitudes and behaviors. As in traditional marketing, the development and implementation of social marketing programs is based on the four P's: product, price, place, and promotion, but it also incorporates the partnership and participation of stakeholders to enhance public health and engage policy makers. The "product" in social marketing is generally a behavior, such as a change in lifestyle (e.g., diet) or an increase in a desired health practice (e.g., screening). In order for people to desire this product, it must offer a solution to a problem that is weighed with respect to the price to pay. The price is not just monetary, and it often involves giving something up, such as time (e.g., exercising) or a wanted, satisfying behavior (e.g., smoking). In its development phase, social marketing incorporates qualitative methods to create messages that are powerful and potentially effective. The implementation of the programs commonly involves mass campaigns with advertisement in various media. There have been a few social media campaigns targeting bone health that have been disseminated with substantial outreach. However, these have not been systematically evaluated, specifically with respect to change in behavior and health outcomes. Future campaigns should identify target behaviors that are amenable to change such as bone mass measurement screening or exercise. Audience segmentation will be crucial, since a message for young women to increase peak bone mass would be very different from a message for older individuals who have just experienced a fracture. Campaigns should involve key stakeholders, including policy makers, health providers, and the public. Finally, success must be carefully evaluated, not just by the outreach of the campaign, but also by a change in relevant behaviors and a decrease in deleterious health outcomes.

Reliability analysis of operator's monitoring behavior in digital main control room of nuclear power plants and its application

International Nuclear Information System (INIS)

Zhang Li; Hu Hong; Li Pengcheng; Jiang Jianjun; Yi Cannan; Chen Qingqing

2015-01-01

In order to build a quantitative model to analyze operators' monitoring behavior reliability of digital main control room of nuclear power plants, based on the analysis of the design characteristics of digital main control room of a nuclear power plant and operator's monitoring behavior, and combining with operators' monitoring behavior process, monitoring behavior reliability was divided into three parts including information transfer reliability among screens, inside-screen information sampling reliability and information detection reliability. Quantitative calculation model of information transfer reliability among screens was established based on Senders's monitoring theory; the inside screen information sampling reliability model was established based on the allocation theory of attention resources; and considering the performance shaping factor causality, a fuzzy Bayesian method was presented to quantify information detection reliability and an example of application was given. The results show that the established model of monitoring behavior reliability gives an objective description for monitoring process, which can quantify the monitoring reliability and overcome the shortcomings of traditional methods. Therefore, it provides theoretical support for operator's monitoring behavior reliability analysis in digital main control room of nuclear power plants and improves the precision of human reliability analysis. (authors)

Special issue: Behavioral Economics and Health Annual Symposium.

Science.gov (United States)

2011-09-01

The application of behavioral economics to health and health care has captured the imagination of policymakers across the political spectrum. The idea is that many people are irrational in predictable ways, and that this both contributes to unhealthy behaviors like smoking and holds one of the keys to changing those behaviors. Because health care costs continue to increase, and a substantial portion of costs are incurred because of unhealthy behaviors, employers and insurers have great interest in using financial incentives to change behaviors. However, it is in the details that complexity and controversies emerge. Who should the targets be, and what outcomes should be rewarded? How should incentives be structured, to maximize their effectiveness and minimize unintended consequences? In what situations should we be intervening to affect decisions by people who may prefer to be obese or to smoke, and in what situations should we accept their preferences? To begin to answer these questions, the Penn-CMU Roybal P30 Center on Behavioral Economics and Health held its first annual Behavioral Economics and Health Symposium on March 24-25, 2011 with support from the Robert Wood Johnson Foundation. The symposium drew more than 50 researchers, scholars, and health professionals from a variety of disciplines, including medicine, public health, economics, law, management, marketing, and psychology. They heard perspectives on behavioral economics from public and private funders, the CEO of the University of Pennsylvania Health System, and the CEO of stickK.com, a start-up company that uses online, voluntary commitment contracts to help people achieve their goals. Participants formed eight working groups to review the current state-of-the-art in a variety of clinical contexts and to consider how behavioral economics could inform a research agenda to improve health. This Issue Brief summarizes the findings of these working groups and the symposium.

Health promoting practices and personal lifestyle behaviors of Brazilian health professionals

Directory of Open Access Journals (Sweden)

Karen D. Hidalgo

2016-10-01

Full Text Available Abstract Background This study was conducted to examine the lifestyle behaviors and health promoting practices of physicians, nurses, and community health workers in Brazil. Methods A random sample of primary health care units in Brazil was selected, and a pretested questionnaire was administered via phone interviews, in 2011, to 182 physicians, 347 nurses, and 269 community health workers, totaling 798 health professionals. The total initial sample included 1600 eligible health professionals. Variables measured included physical activity, alcohol intake, hours of sleep, diet, and perceived self-efficacy to provide preventive counseling on related lifestyle behaviors. Results More than 25 % of physicians, nurses, and community health workers reported eating 0–2 portions of fruits and vegetables per day. In terms of cervical and breast cancer, nurses reported to be ‘very prepared’ to advise patients on these topics more frequently than physicians. The prevalence of smoking ranged from 4.9 % among nurses to 7.4 % among community health workers. The proportion of physical inactivity ranged from 40.3 % among nurses to 52.1 % among community health workers. Conclusion A reasonably high proportion of physicians, nurses, and community health workers report not engaging in healthy lifestyle behaviors that impact chronic diseases, thus, they may be less likely to encourage such behaviors in their patients.

Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring

Directory of Open Access Journals (Sweden)

Guang-Dong Zhou

2013-01-01

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

The Relationship between Health Locus of Control and Health Behaviors in Emergency Medicine Personnel.

Science.gov (United States)

Pourhoseinzadeh, Mansour; Gheibizadeh, Mahin; Moradikalboland, Mehrnaz

2017-10-01

Health locus of control defined as individual beliefs based on past experiences in health issues and having external or internal control over them, could affect health. Health locus of control plays a role in health behaviors. We aimed to investigate the relationship between health locus of control and health behavior in emergency medical personnel in Ahvaz during 2016. This is a cross-sectional descriptive study, which began in August 2016 for a period of six months on 215 emergency medical personnel in Ahvaz who were selected randomly. The data were collected by a demographic questionnaire, Rotter's locus of control questionnaire, and health behavior questionnaire and analyzed using SPSS software, version 22. The correlation between variables was estimated by Pearson's correlation coefficient and independent t test. The level of significance for all statistical tests was set at 0.05. We found no significant relationship between health locus of control (external and internal) and health behavior (P>0.05).Health behaviors were very good in terms of personal health (86.5%), nutrition (53%), and sleep and rest (48.4%), and poor in terms of physical activity (52.6%) and stress management (79.5%). Furthermore, 79.5% of the emergency personnel, in general, had poor heath behaviors. Leaders and officials in the field of health must necessarily design programs in relation to health locus of control and the factors developing and affecting it as well as the role of health locus of control in doing correct behaviors.

[Monitoring system on prison health: feasibility and recommendations].

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Develay, Aude-Emmanuelle; Verdot, Charlotte; Grémy, Isabelle

2015-01-01

This article presents the results of two studies designed to define the feasibility and framework of the future prison health monitoring system in France. The objective of the first study was to obtain the points of view of professionals involved in prison health and the second study was designed to assess the feasibility of using prisoner's medical files for epidemiological purposes. The point of view of various professionals was collected by questionnaire sent to 43 randomly selected prison physicians and by 22 semi-directive interviews. The feasibility study was based on analysis of the medical files of 330 randomly selected prisoners in eleven prisons chosen in order to reflect the diversity of correctional settings and prison populations. Additional interviews were conducted with the medical staff of these prison facilities. There is a consensus on the need to monitor prison health, but there are contrasting views on data collection methods (surveys or routinely collected data]. The feasibility study also showed that the implementation of a prison health monitoring system based on routinely collected data from prisoner's medical records was not feasible at the present time in France. In the light of these findings, it is recommended to initially develop a monitoring system based on regular nationwide surveys, while pursuing computerization and standardization of health data in prison.

Increasing On-Task Behavior in the Classroom: Extension of Self-Monitoring Strategies

Science.gov (United States)

Amato-Zech, Natalie A.; Hoff, Kathryn E.; Doepke, Karla J.

2006-01-01

We examined the effectiveness of a tactile self-monitoring prompt to increase on-task behaviors among 3 elementary-aged students in a special education classroom. Students were taught to self-monitor their attention by using the MotivAider (MotivAider, 2000), an electronic beeper that vibrates to provide a tactile cue to self-monitor. An ABAB…

Forest health monitoring in the United States: focus on national reports

Science.gov (United States)

Kurt Riitters; Kevin Potter

2013-01-01

The health and sustainability of United States forests have been monitored for many years from several different perspectives. The national Forest Health Monitoring (FHM) Program was established in 1990 by Federal and State agencies to develop a national system for monitoring and reporting on the status and trends of forest ecosystem health. We describe and illustrate...

Review of behavioral health integration in primary care at Baylor Scott and White Healthcare, Central Region.

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Jolly, John B; Fluet, Norman R; Reis, Michael D; Stern, Charles H; Thompson, Alexander W; Jolly, Gillian A

2016-04-01

The integration of behavioral health services in primary care has been referred to in many ways, but ultimately refers to common structures and processes. Behavioral health is integrated into primary care because it increases the effectiveness and efficiency of providing care and reduces costs in the care of primary care patients. Reimbursement is one factor, if not the main factor, that determines the level of integration that can be achieved. The federal health reform agenda supports changes that will eventually permit behavioral health to be fully integrated and will allow the health of the population to be the primary target of intervention. In an effort to develop more integrated services at Baylor Scott and White Healthcare, models of integration are reviewed and the advantages and disadvantages of each model are discussed. Recommendations to increase integration include adopting a disease management model with care management, planned guideline-based stepped care, follow-up, and treatment monitoring. Population-based interventions can be completed at the pace of the development of alternative reimbursement methods. The program should be based upon patient-centered medical home standards, and research is needed throughout the program development process.

Health Behaviors and Academic Performance Among Korean Adolescents.

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So, Eun Sun; Park, Byoung Mo

2016-06-01

This study aimed to examine the most prominent health-related behaviors impacting the academic performance of Korean adolescents. The 2012 Korea Youth Risk Behavior Web-Based Survey data were analyzed using an ordinal regression analysis after adjusting for general and other health behaviors. Before adjustment, all health behaviors were significantly associated with academic performance. After adjustment for other health behaviors and confounding factors, only smoking [odds ratio (OR) = 2.07, 95% confidence interval (CI) (1.98, 2.16), p academic performance, and engaging in a regular diet [OR = 0.65, 95% CI (0.65, 0.62), p academic performance. Regular diet, reducing smoking and alcohol drinking, and physical activity should be the target when designing health interventions for improving academic performance in Korean adolescents. Copyright © 2016. Published by Elsevier B.V.

Health plans' disease management programs: extending across the medical and behavioral health spectrum?

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Merrick, Elizabeth Levy; Horgan, Constance M; Garnick, Deborah W; Hodgkin, Dominic; Morley, Melissa

2008-01-01

Although the disease management industry has expanded rapidly, there is little nationally representative data regarding medical and behavioral health disease management programs at the health plan level. National estimates from a survey of private health plans indicate that 90% of health plan products offered disease management for general medical conditions such as diabetes but only 37% had depression programs. The frequency of specific depression disease management activities varied widely. Program adoption was significantly related to product type and behavioral health contracting. In health plans, disease management has penetrated more slowly into behavioral health and depression program characteristics are highly variable.

The Science of Sustaining Health Behavior Change: The Health Maintenance Consortium

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Ory, Marcia G.; Smith, Matthew Lee; Mier, Nelda; Wernicke, Meghan M.

2013-01-01

Objective The Health Maintenance Consortium (HMC) is a multisite Grantee Consortium funded by the National Institutes of Health from 2004–2009. The goal of HMC is to enhance understanding of the long-term maintenance of behavior change, as well as effective strategies for achieving sustainable health promotion and disease prevention. Methods This introductory research synthesis prepared by the Resource Center gives context to this theme issue by providing an overview of the HMC and the articles in this journal. Results It explores the contributions to our conceptualization of behavior change processes and intervention strategies, the trajectory of effectiveness of behavioral and social interventions, and factors influencing the long-term maintenance of behavioral and social interventions. Conclusions Future directions for furthering the science of maintaining behavior change and reducing the gaps between research and practice are recommended. PMID:20604691

The eHealth Behavior Management Model: a stage-based approach to behavior change and management.

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Bensley, Robert J; Mercer, Nelda; Brusk, John J; Underhile, Ric; Rivas, Jason; Anderson, Judith; Kelleher, Deanne; Lupella, Melissa; de Jager, André C

2004-10-01

Although the Internet has become an important avenue for disseminating health information, theory-driven strategies for aiding individuals in changing or managing health behaviors are lacking. The eHealth Behavior Management Model combines the Transtheoretical Model, the behavioral intent aspect of the Theory of Planned Behavior, and persuasive communication to assist individuals in negotiating the Web toward stage-specific information. It is here - at the point of stage-specific information - that behavioral intent in moving toward more active stages of change occurs. The eHealth Behavior Management Model is applied in three demonstration projects that focus on behavior management issues: parent-child nutrition education among participants in the U.S. Department of Agriculture Special Supplemental Nutrition Program for Women, Infants and Children; asthma management among university staff and students; and human immunodeficiency virus prevention among South African women. Preliminary results have found the eHealth Behavior Management Model to be promising as a model for Internet-based behavior change programming. Further application and evaluation among other behavior and disease management issues are needed.

Men, bodily control, and health behaviors: the importance of age.

Science.gov (United States)

Calasanti, Toni; Pietilä, Ilkka; Ojala, Hanna; King, Neal

2013-01-01

To conduct an intersectional analysis of relations between gender and age in the health behaviors of middle-aged men, informed by cross-national comparison between Finland and the United States. Thematic and discourse analysis of data from interviews conducted among professional and working-class, middle-aged men in the U.S. and Finland. Respondents report that middle age inspires them to regard many bodily changes as more than transitory; and they assume a sense of responsibility that can lead to greater self-care. Men reported using such strategies as discipline, routine, and monitoring in their attempts to forestall aging. The men face contradictions: While they may adopt ideologies of masculinity and control and accept responsibility for influencing their health, their bodies may also present them with age-based limitations to their abilities to do so. How men respond to these changes varies by context, including their aging and these nations' different systems of health care. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Determinants of Consumer eHealth Information Seeking Behavior.

Science.gov (United States)

Sandefer, Ryan H; Westra, Bonnie L; Khairat, Saif S; Pieczkiewicz, David S; Speedie, Stuart M

2015-01-01

Patients are increasingly using the Internet and other technologies to engage in their own healthcare, but little research has focused on the determinants of consumer eHealth behaviors related to Internet use. This study uses data from 115,089 respondents to four years of the National Health Interview Series to identify the associations between one consumer eHealth behavior (information seeking) and demographics, health measures, and Personal Health Information Management (PHIM) (messaging, scheduling, refills, and chat). Individuals who use PHIM are 7.5 times more likely to search the internet for health related information. Just as health has social determinants, the results of this study indicate there are potential social determinants of consumer eHealth behaviors including personal demographics, health status, and healthcare access.

Forest health monitoring: 2007 national technical report

Science.gov (United States)

Barbara L. Conkling

2011-01-01

The Forest Health Monitoring Program produces an annual technical report that has two main objectives. The first objective is to present information about forest health from a national perspective. The second objective is to present examples of useful techniques for analyzing forest health data new to the annual national reports and new applications of techniques...

Forest health monitoring: 2009 national technical report

Science.gov (United States)

Kevin M. Potter; Barbara L. Conkling

2012-01-01

The annual national technical report of the Forest Health Monitoring Program of the Forest Service, U.S. Department of Agriculture, presents forest health status and trends from a national or multi-State regional perspective using a variety of sources, introduces new techniques for analyzing forest health data, and summarizes results of recently completed Evaluation...

BEHAVIORAL HAZARD IN HEALTH INSURANCE*

Science.gov (United States)

Baicker, Katherine; Mullainathan, Sendhil; Schwartzstein, Joshua

2015-01-01

A fundamental implication of standard moral hazard models is overuse of low-value medical care because copays are lower than costs. In these models, the demand curve alone can be used to make welfare statements, a fact relied on by much empirical work. There is ample evidence, though, that people misuse care for a different reason: mistakes, or “behavioral hazard.” Much high-value care is underused even when patient costs are low, and some useless care is bought even when patients face the full cost. In the presence of behavioral hazard, welfare calculations using only the demand curve can be off by orders of magnitude or even be the wrong sign. We derive optimal copay formulas that incorporate both moral and behavioral hazard, providing a theoretical foundation for value-based insurance design and a way to interpret behavioral “nudges.” Once behavioral hazard is taken into account, health insurance can do more than just provide financial protection—it can also improve health care efficiency. PMID:23930294

Health Behavior Theory in Physical Activity Game Apps: A Content Analysis

Science.gov (United States)

Moxley, Victor BA; MacDonald, Elizabeth

2015-01-01

Background Physical activity games developed for a mobile phone platform are becoming increasingly popular, yet little is known about their content or inclusion of health behavior theory (HBT). Objective The objective of our study was to quantify elements of HBT in physical activity games developed for mobile phones and to assess the relationship between theoretical constructs and various app features. Methods We conducted an analysis of exercise and physical activity game apps in the Apple App Store in the fall of 2014. A total of 52 apps were identified and rated for inclusion of health behavior theoretical constructs using an established theory-based rubric. Each app was coded for 100 theoretical items, containing 5 questions for 20 different constructs. Possible total theory scores ranged from 0 to 100. Descriptive statistics and Spearman correlations were used to describe the HBT score and association with selected app features, respectively. Results The average HBT score in the sample was 14.98 out of 100. One outlier, SuperBetter, scored higher than the other apps with a score of 76. Goal setting, self-monitoring, and self-reward were the most-reported constructs found in the sample. There was no association between either app price and theory score (P=.5074), or number of gamification elements and theory score (P=.5010). However, Superbetter, with the highest HBT score, was also the most expensive app. Conclusions There are few content analyses of serious games for health, but a comparison between these findings and previous content analyses of non-game health apps indicates that physical activity mobile phone games demonstrate higher levels of behavior theory. The most common theoretical constructs found in this sample are known to be efficacious elements in physical activity interventions. It is unclear, however, whether app designers consciously design physical activity mobile phone games with specific constructs in mind; it may be that games lend

Associations between multiple health risk behaviors and mental health among Chinese college students.

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Ye, Yong-ling; Wang, Pei-gang; Qu, Geng-cong; Yuan, Shuai; Phongsavan, Philayrath; He, Qi-qiang

2016-01-01

Although there is substantial evidence that health risk behaviors increase risks of premature morbidity and mortality, little is known about the multiple health risk behaviors in Chinese college students. Here, we investigated the prevalence of multiple health risk behaviors and its relation to mental health among Chinese college students. A cross-sectional study was conducted in Wuhan, China from May to June 2012. The students reported their health risk behaviors using self-administered questionnaires. Depression and anxiety were assessed using the self-rating depression scale and self-rating anxiety scale, respectively. A total of 2422 college students (1433 males) aged 19.7 ± 1.2 years were participated in the study. The prevalence of physical inactivity, sleep disturbance, poor dietary behavior, Internet addiction disorder (IAD), frequent alcohol use and current smoking was 62.0, 42.6, 29.8, 22.3, 11.6 and 9.3%, respectively. Significantly increased risks for depression and anxiety were found among students with frequent alcohol use, sleep disturbance, poor dietary behavior and IAD. Two-step cluster analysis identified two different clusters. Participants in the cluster with more unhealthy behaviors showed significantly increased risk for depression (odds ratio (OR): 2.21; 95% confidence interval (CI): 1.83, 2.67) and anxiety (OR: 2.32; 95% CI: 1.85, 2.92). This study indicates that a relatively high prevalence of multiple health risk behaviors was found among Chinese college students. Furthermore, the clustering of health risk behaviors was significantly associated with increased risks for depression and anxiety.

Applying the reasoned action approach to understanding health protection and health risk behaviors.

Science.gov (United States)

Conner, Mark; McEachan, Rosemary; Lawton, Rebecca; Gardner, Peter

2017-12-01

The Reasoned Action Approach (RAA) developed out of the Theory of Reasoned Action and Theory of Planned Behavior but has not yet been widely applied to understanding health behaviors. The present research employed the RAA in a prospective design to test predictions of intention and action for groups of protection and risk behaviors separately in the same sample. To test the RAA for health protection and risk behaviors. Measures of RAA components plus past behavior were taken in relation to eight protection and six risk behaviors in 385 adults. Self-reported behavior was assessed one month later. Multi-level modelling showed instrumental attitude, experiential attitude, descriptive norms, capacity and past behavior were significant positive predictors of intentions to engage in protection or risk behaviors. Injunctive norms were only significant predictors of intention in protection behaviors. Autonomy was a significant positive predictor of intentions in protection behaviors and a negative predictor in risk behaviors (the latter relationship became non-significant when controlling for past behavior). Multi-level modelling showed that intention, capacity, and past behavior were significant positive predictors of action for both protection and risk behaviors. Experiential attitude and descriptive norm were additional significant positive predictors of risk behaviors. The RAA has utility in predicting both protection and risk health behaviors although the power of predictors may vary across these types of health behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Miniaturized Video System for Monitoring Drosophila Behavior

Science.gov (United States)

Bhattacharya, Sharmila; Inan, Omer; Kovacs, Gregory; Etemadi, Mozziyar; Sanchez, Max; Marcu, Oana

2011-01-01

Long-term spaceflight may induce a variety of harmful effects in astronauts, resulting in altered motor and cognitive behavior. The stresses experienced by humans in space - most significantly weightlessness (microgravity) and cosmic radiation - are difficult to accurately simulate on Earth. In fact, prolonged and concomitant exposure to microgravity and cosmic radiation can only be studied in space. Behavioral studies in space have focused on model organisms, including Drosophila melanogaster. Drosophila is often used due to its short life span and generational cycle, small size, and ease of maintenance. Additionally, the well-characterized genetics of Drosophila behavior on Earth can be applied to the analysis of results from spaceflights, provided that the behavior in space is accurately recorded. In 2001, the BioExplorer project introduced a low-cost option for researchers: the small satellite. While this approach enabled multiple inexpensive launches of biological experiments, it also imposed stringent restrictions on the monitoring systems in terms of size, mass, data bandwidth, and power consumption. Suggested parameters for size are on the order of 100 mm3 and 1 kg mass for the entire payload. For Drosophila behavioral studies, these engineering requirements are not met by commercially available systems. One system that does meet many requirements for behavioral studies in space is the actimeter. Actimeters use infrared light gates to track the number of times a fly crosses a boundary within a small container (3x3x40 mm). Unfortunately, the apparatus needed to monitor several flies at once would be larger than the capacity of the small satellite. A system is presented, which expands on the actimeter approach to achieve a highly compact, low-power, ultra-low bandwidth solution for simultaneous monitoring of the behavior of multiple flies in space. This also provides a simple, inexpensive alternative to the current systems for monitoring Drosophila

A synthesis of evaluation monitoring projects by the forest health monitoring program (1998-2007)

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William A. Bechtold; Michael J. Bohne; Barbara L. Conkling; Dana L. Friedman

2012-01-01

The national Forest Health Monitoring Program of the Forest Service, U.S. Department of Agriculture, has funded over 200 Evaluation Monitoring projects. Evaluation Monitoring is designed to verify and define the extent of deterioration in forest ecosystems where potential problems have been identified. This report is a synthesis of results from over 150 Evaluation...

Health risk behavior of youth in foster care.

Science.gov (United States)

Gramkowski, Bridget; Kools, Susan; Paul, Steven; Boyer, Cherrie B; Monasterio, Erica; Robbins, Nancy

2009-05-01

Many adolescent health problems are predominantly caused by risk behavior. Foster adolescents have disproportionately poor health; therefore, identification of risk behavior is critical. Data from a larger study were analyzed to investigate the health risk behavior of 56 youth in foster care using the Child Health and Illness Profile-Adolescent Edition. Data indicated that youth in foster care had some increased risk behavior when compared with a normative adolescent population. Younger adolescents and those in relative placement had less risky behavior. Risk behavior was increased for youth in foster care when they were in group homes, had experienced a parental death, or had a history of physical or emotional abuse or attempted suicide. These results point to areas of strength and vulnerability for youth in foster care and suggest areas for clinicians and caregivers of these adolescents to focus interventions towards harm reduction and enhancement of resiliency.

Monitoring intervention coverage in the context of universal health coverage.

Directory of Open Access Journals (Sweden)

Ties Boerma

2014-09-01

Full Text Available Monitoring universal health coverage (UHC focuses on information on health intervention coverage and financial protection. This paper addresses monitoring intervention coverage, related to the full spectrum of UHC, including health promotion and disease prevention, treatment, rehabilitation, and palliation. A comprehensive core set of indicators most relevant to the country situation should be monitored on a regular basis as part of health progress and systems performance assessment for all countries. UHC monitoring should be embedded in a broad results framework for the country health system, but focus on indicators related to the coverage of interventions that most directly reflect the results of UHC investments and strategies in each country. A set of tracer coverage indicators can be selected, divided into two groups-promotion/prevention, and treatment/care-as illustrated in this paper. Disaggregation of the indicators by the main equity stratifiers is critical to monitor progress in all population groups. Targets need to be set in accordance with baselines, historical rate of progress, and measurement considerations. Critical measurement gaps also exist, especially for treatment indicators, covering issues such as mental health, injuries, chronic conditions, surgical interventions, rehabilitation, and palliation. Consequently, further research and proxy indicators need to be used in the interim. Ideally, indicators should include a quality of intervention dimension. For some interventions, use of a single indicator is feasible, such as management of hypertension; but in many areas additional indicators are needed to capture quality of service provision. The monitoring of UHC has significant implications for health information systems. Major data gaps will need to be filled. At a minimum, countries will need to administer regular household health surveys with biological and clinical data collection. Countries will also need to improve the

Wearable Health Monitoring Systems, Phase I

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National Aeronautics and Space Administration — The objective of this proposal is to demonstrate the feasibility of producing a wearable health monitoring system for the human body that is functional, comfortable,...

Wearable Health Monitoring Systems, Phase II

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National Aeronautics and Space Administration — The objective of this proposal is to demonstrate the feasibility of producing a wearable health monitoring system for the human body that is functional, comfortable,...

Application of near field communication for health monitoring in daily life.

Science.gov (United States)

Strömmer, Esko; Kaartinen, Jouni; Pärkkä, Juha; Ylisaukko-Oja, Arto; Korhonen, Ilkka

2006-01-01

We study the possibility of applying an emerging RFID-based communication technology, NFC (Near Field Communication), to health monitoring. We suggest that NFC is, compared to other competing technologies, a high-potential technology for short-range connectivity between health monitoring devices and mobile terminals. We propose practices to apply NFC to some health monitoring applications and study the benefits that are attainable with NFC. We compare NFC to other short-range communication technologies such as Bluetooth and IrDA, and study the possibility of improving the usability of health monitoring devices with NFC. We also introduce a research platform for technical evaluation, applicability study and application demonstrations of NFC.

Toward objective monitoring of ingestive behavior in free-living population.

Science.gov (United States)

Sazonov, Edward S; Schuckers, Stephanie A C; Lopez-Meyer, Paulo; Makeyev, Oleksandr; Melanson, Edward L; Neuman, Michael R; Hill, James O

2009-10-01

Understanding of eating behaviors associated with obesity requires objective and accurate monitoring of food intake patterns. Accurate methods are available for measuring total energy expenditure and its components in free-living populations, but methods for measuring food intake in free-living people are far less accurate and involve self-reporting or subjective monitoring. We suggest that chews and swallows can be used for objective monitoring of ingestive behavior. This hypothesis was verified in a human study involving 20 subjects. Chews and swallows were captured during periods of quiet resting, talking, and meals of varying size. The counts of chews and swallows along with other derived metrics were used to build prediction models for detection of food intake, differentiation between liquids and solids, and for estimation of the mass of ingested food. The proposed prediction models were able to detect periods of food intake with >95% accuracy and a fine time resolution of 30 s, differentiate solid foods from liquids with >91% accuracy, and predict mass of ingested food with >91% accuracy for solids and >83% accuracy for liquids. In earlier publications, we have shown that chews and swallows can be captured by noninvasive sensors that could be developed into a wearable device. Thus, the proposed methodology could lead to the development of an innovative new way of assessing human eating behavior in free-living conditions.

Changes in health risk behaviors of elementary school students in northern Taiwan from 2001 to 2003: results from the child and adolescent behaviors in long-term evolution study

Directory of Open Access Journals (Sweden)

Yen Lee-Lan

2007-11-01

Full Text Available Abstract Background Previous research has indicated that children's behaviors have long-term effects on later life. Hence it is important to monitor the development of health risk behaviors in childhood. This study examined the changes in health risk behaviors in fourth- to sixth-grade students in northern Taiwan from 2001 to 2003. Methods The Child and Adolescent Behaviors in Long-Term Evolution (CABLE study collected data from 1,820 students from 2001 to 2003 (students were 9 or 10 years old in 2001. Exploratory factor analysis was used to determine the aggregation of health risk behaviors. A linear growth curve model was used to determine whether health risk behaviors changed over time. Results Of the 13 behaviors, staying up late and eating snacks late at night were the most prevalent (82.3% of subjects in 2001, 81.8% in 2002, 88.5% in 2003 and second most prevalent (68.7%, 67.4%, 71.6% behaviors, respectively, from 2001 to 2003. The three least prevalent health risk behaviors were chewing betel nut (1.0%, 0.4%, 0.2%, smoking (1.4%, 1.0%, 0.8%, and drinking alcohol (8.5%, 6.0%, 5.2%. The frequencies of swearing and staying up late showed the greatest significant increases with time. On the other hand, suppressing urination and drinking alcohol decreased over time. Using exploratory factor analysis, we aggregated the health risk behaviors into three categories: unhealthy habits, aggressive behaviors, and substance use. Although students did not display high levels of aggressive behavior or experimentation with substances, the development of these behaviors in a small proportion of students should not be ignored. The results of the linear growth curve model indicated that unhealthy habits and aggressive behaviors increased over time. However, substance use slightly decreased over time. Conclusion We found that some health risk behaviors increased with time while others did not. Unhealthy habits and aggressive behaviors increased, whereas

Evaluating the Hispanic Paradox in the Context of Adolescent Risky Sexual Behavior: The Role of Parent Monitoring.

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Karoly, Hollis C; Callahan, Tiffany; Schmiege, Sarah J; Ewing, Sarah W Feldstein

2016-05-01

In the United States, Hispanic adolescents are at elevated risk for negative outcomes related to risky sexual behavior. To evaluate potential protective factors for this group, we examined the fit of the Hispanic Paradox for sexual behavior among high-risk youth and the moderating role of parent monitoring. We enrolled 323 justice-involved Hispanic youth (73% male; mean age 16 years), and measured generational status, parent monitoring (monitoring location, who children spend time with outside of school, family dinner frequency), and sexual risk behavior. There were no main effects for generational status on sexual behavior. Parent monitoring of location moderated the relationship between generational status and sexual behavior, such that greater monitoring of location was associated with less risky sexual behavior, but only for youth second generation and above. Rather than direct evidence supporting the Hispanic Paradox, we found a more nuanced relationship for generational status in this sample. © The Author 2015. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Wind turbine condition monitoring based on SCADA data using normal behavior models

DEFF Research Database (Denmark)

Schlechtingen, Meik; Santos, Ilmar; Achiche, Sofiane

2013-01-01

This paper proposes a system for wind turbine condition monitoring using Adaptive Neuro-Fuzzy Interference Systems (ANFIS). For this purpose: (1) ANFIS normal behavior models for common Supervisory Control And Data Acquisition (SCADA) data are developed in order to detect abnormal behavior...... the applicability of ANFIS models for monitoring wind turbine SCADA signals. The computational time needed for model training is compared to Neural Network (NN) models showing the strength of ANFIS in training speed. (2) For automation of fault diagnosis Fuzzy Interference Systems (FIS) are used to analyze...

DASH - Youth Risk Behavior Surveillance System (YRBSS): Middle School

Data.gov (United States)

U.S. Department of Health & Human Services — 1991-2015. Middle School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors among youth and young...

DASH - Youth Risk Behavior Surveillance System (YRBSS): High School

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U.S. Department of Health & Human Services — 1991-2015. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors among youth and young...

The business cycle and health behaviors.

Science.gov (United States)

Xu, Xin

2013-01-01

While it is well documented that economic expansions provide widespread and immediate financial benefits, the evidence on how an economic downturn affects individual's health behaviors is surprisingly mixed. In this paper, we take a structural approach to investigate the effects of wages and working hours on health behaviors of low-educated persons using variations in wages and hours caused by changes in local economic activity. In the empirical analysis, we adopt a two-sample instrumental variables approach to combine the data on individual health behaviors from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health Interview Survey (NHIS) with the data on individual employment from the Current Population Survey (CPS). The total sample size of the combined CPS-BRFSS data for the time period of 1984-2005 is 967,594, while that of the combined CPS-NHIS data for the time period of 1976-2001 is 364,078. We find that increases in wages caused by economic expansions are associated with greater consumption of cigarettes in the United States. We also find that increases in hours of work caused by economic expansions are associated with more cigarette consumption, but less physical activity and physician visits. More importantly, the evidence suggests that most of such effects associated with changes in hours of work can be attributed to the changes at the extensive margin of employment, meaning the changes in employment status, rather than the changes at the intensive margin, meaning changes in hours of work conditional on being employed. These findings imply that changes in employment may have heterogeneous impacts on time-intensive and less time-intensive health behaviors and also provide additional evidence on the importance of time in health production, particularly for time-intensive activities. Copyright © 2012 Elsevier Ltd. All rights reserved.

Monitoring 'monitoring' and evaluating 'evaluation': an ethical framework for monitoring and evaluation in public health.

Science.gov (United States)

Gopichandran, Vijayaprasad; Indira Krishna, Anil Kumar

2013-01-01

Monitoring and evaluation (M&E) is an essential part of public health programmes. Since M&E is the backbone of public health programmes, ethical considerations are important in their conduct. Some of the key ethical considerations are avoiding conflicts of interest, maintaining independence of judgement, maintaining fairness, transparency, full disclosure, privacy and confidentiality, respect, responsibility, accountability, empowerment and sustainability. There are several ethical frameworks in public health, but none focusing on the monitoring and evaluation process. There is a need to institutionalise the ethical review of M&E proposals. A theoretical framework for ethical considerations is proposed in this paper. This proposed theoretical framework can act as the blueprint for building the capacity of ethics committees to review M&E proposals. A case study is discussed in this context. After thorough field testing, this practical and field-based ethical framework can be widely used by donor agencies, M&E teams, institutional review boards and ethics committees.

Relationship between Health Literacy, Health-Related Behaviors and Health Status: A Survey of Elderly Chinese

Directory of Open Access Journals (Sweden)

Yong-Bing Liu

2015-08-01

Full Text Available Background: Despite the large volume of research dedicated to health-related behavior change, chronic disease costs continue to rise, thus creating a major public health burden. Health literacy, the ability to seek, understand, and utilize health information, has been identified as an important factor in the course of chronic conditions. Little research has been conducted on the relationship between health literacy and health-related behaviors and health status in elderly Chinese. The aim of this study was to elucidate the relationship between health literacy and health-related behaviors and health status in China. Methods: The subjects enrolled in this study were selected based on a stratified cluster random sampling design. Information involving >4500 older adults in 44 pension institutions in Urumqi, Changji, Karamay, and Shihezi of Xinjiang between September 2011 and June 2012 was collected. The Chinese Citizen Health Literacy Questionnaire (China Health Education Centre, 2008 and a Scale of the General Status were administered and the information was obtained through face-to-face inquiries by investigators. A total of 1452 respondents met the inclusion criteria. A total of 1452 questionnaires were issued and the valid response rate was 96.14% (1396 of 1452. Factors affecting health literacy and the relationship to health literacy were identified by one-way ANOVA and a multiple linear regression model. Results: The average health literacy level of the elderly in nursing homes was relatively low (71.74 ± 28.35 points. There were significant differences in the health literacy score among the factors of age, gender, race, education level, household income, marital conditions, and former occupation (p < 0.001. The health literacy score was significantly associated with smoking, drinking, physical exercise, and health examination (p < 0.001. The elderly with higher health literacy scores were significantly less likely to have risky behaviors

Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis

Science.gov (United States)

Monekosso, Dorothy; Remagnino, Paolo

This paper describes a data generator that produces synthetic data to simulate observations from an array of environment monitoring sensors. The overall goal of our work is to monitor the well-being of one occupant in a home. Sensors are embedded in a smart home to unobtrusively record environmental parameters. Based on the sensor observations, behavior analysis and modeling are performed. However behavior analysis and modeling require large data sets to be collected over long periods of time to achieve the level of accuracy expected. A data generator - was developed based on initial data i.e. data collected over periods lasting weeks to facilitate concurrent data collection and development of algorithms. The data generator is based on statistical inference techniques. Variation is introduced into the data using perturbation models.

Assessing the value of structural health monitoring

DEFF Research Database (Denmark)

Thöns, S.; Faber, Michael Havbro

2013-01-01

Structural Health Monitoring (SHM) systems are designed for assisting owners and operators with information and forecasts concerning the fitness for purpose of structures and building systems. The benefit associated with the implementation of SHM may in some cases be intuitively anticipated...... as their responses and performances over their life-cycle. In addition, the quality of monitoring and the performance of possible remedial actions triggered by monitoring results are modeled probabilistically.The consequences accounted for, in principle include all consequences associated with the performance...

The Effects of Preference for Information on Consumers’ Online Health Information Search Behavior

Science.gov (United States)

2013-01-01

Background Preference for information is a personality trait that affects people’s tendency to seek information in health-related situations. Prior studies have focused primarily on investigating its impact on patient-provider communication and on the implications for designing information interventions that prepare patients for medical procedures. Few studies have examined its impact on general consumers’ interactions with Web-based search engines for health information or the implications for designing more effective health information search systems. Objective This study intends to fill this gap by investigating the impact of preference for information on the search behavior of general consumers seeking health information, their perceptions of search tasks (representing information needs), and user experience with search systems. Methods Forty general consumers who had previously searched for health information online participated in the study in our usability lab. Preference for information was measured using Miller’s Monitor-Blunter Style Scale (MBSS) and the Krantz Health Opinion Survey-Information Scale (KHOS-I). Each participant completed four simulated health information search tasks: two look-up (fact-finding) and two exploratory. Their behaviors while interacting with the search systems were automatically logged and ratings of their perceptions of tasks and user experience with the systems were collected using Likert-scale questionnaires. Results The MBSS showed low reliability with the participants (Monitoring subscale: Cronbach alpha=.53; Blunting subscale: Cronbach alpha=.35). Thus, no further analyses were performed based on the scale. KHOS-I had sufficient reliability (Cronbach alpha=.77). Participants were classified into low- and high-preference groups based on their KHOS-I scores. The high-preference group submitted significantly shorter queries when completing the look-up tasks (P=.02). The high-preference group made a significantly higher

The effects of preference for information on consumers' online health information search behavior.

Science.gov (United States)

Zhang, Yan

2013-11-26

Preference for information is a personality trait that affects people's tendency to seek information in health-related situations. Prior studies have focused primarily on investigating its impact on patient-provider communication and on the implications for designing information interventions that prepare patients for medical procedures. Few studies have examined its impact on general consumers' interactions with Web-based search engines for health information or the implications for designing more effective health information search systems. This study intends to fill this gap by investigating the impact of preference for information on the search behavior of general consumers seeking health information, their perceptions of search tasks (representing information needs), and user experience with search systems. Forty general consumers who had previously searched for health information online participated in the study in our usability lab. Preference for information was measured using Miller's Monitor-Blunter Style Scale (MBSS) and the Krantz Health Opinion Survey-Information Scale (KHOS-I). Each participant completed four simulated health information search tasks: two look-up (fact-finding) and two exploratory. Their behaviors while interacting with the search systems were automatically logged and ratings of their perceptions of tasks and user experience with the systems were collected using Likert-scale questionnaires. The MBSS showed low reliability with the participants (Monitoring subscale: Cronbach alpha=.53; Blunting subscale: Cronbach alpha=.35). Thus, no further analyses were performed based on the scale. KHOS-I had sufficient reliability (Cronbach alpha=.77). Participants were classified into low- and high-preference groups based on their KHOS-I scores. The high-preference group submitted significantly shorter queries when completing the look-up tasks (P=.02). The high-preference group made a significantly higher percentage of parallel movements in query

A Comparison of Self-Monitoring with and without Reinforcement to Improve On-Task Classroom Behavior

Science.gov (United States)

Davis, Tonya N.; Dacus, Sharon; Bankhead, Jenna; Haupert, Megan; Fuentes, Lisa; Zoch, Tamara; Kang, Soyeon; Attai, Shanna; Lang, Russell

2014-01-01

In this study we analyzed the effects of a self-monitoring and self-monitoring plus reinforcement intervention on classroom behavior. A typically-developing high school student demonstrating difficulty staying on-task during classroom instruction was observed in three classroom settings associated with high levels of off-task behavior. During…

The Longitudinal Impact of Distal, Non-Familial Relationships on Parental Monitoring: Implications for Delinquent Behavior

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Jaggers, Jeremiah W.; Bolland, Anneliese C.; Tomek, Sara; Bolland, Kathleen A.; Hooper, Lisa M.; Church, Wesley T., II; Bolland, John M.

2018-01-01

An extensive body of work shows that parental monitoring reduces the likelihood of risky behaviors among youth, yet little attention has been given to the factors compelling parents to engage in monitoring behaviors. The current study examines the association between non-familial, adolescent relationships (i.e., school connectedness, community…

Health Promotion Behaviors of Women and Affecting Factors

Directory of Open Access Journals (Sweden)

Naile Bilgili

2009-12-01

Full Text Available AIM: Women should be healthy and have health promotion behaviors, so they can accomplish both their maternal and social tasks. This descriptive study was conducted to determine the healthy life-style behaviors of married women and the factors which could affect those behaviors. METHOD: The population comprised all married women older than 15 years and who live in Ankara Kale region. Three hundred-sixty five married women were included in the study. The questionnaire form and the healthy life-style behaviors scale was used for data collection. RESULTS: The mean score taken from scale was 112.2±19.4. The scores of the women who graduated from middle school / high school, who have sufficient income and good socio-economic status, who have a perception of physical health fairly good and who have any chronic disease in their families, have significantly higher mean scores from healthy life-style behaviors scale and subgroups (p<0.05 CONCLUSION: Health promotion behaviors of the women was low and some factors like education level, income, socioeconomic status, perception of health, having any chronic illness and using regular medicine affected healthy life-style behaviors. It is recommended that nurses, who have education and consultation roles, should inform the women about health promotion behaviors and encourage them to use that information in their lives. [TAF Prev Med Bull 2009; 8(6.000: 497-502

A small business worksite wellness model for improving health behaviors.

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Merrill, Ray M

2013-08-01

To evaluate the effectiveness of a wellness program delivered by WellSteps, LLC, aimed at improving employee health behaviors in small companies that lack the resources to independently develop and manage a wellness program. Analyses are based on 618 employees from five diverse companies that completed an initial personal health assessment. Exercise and dietary behaviors significantly improved across the five companies. Significant improvements in health perception and life satisfaction also resulted and were associated with improvements in health behaviors. Three of the five companies, each with fewer than 50 employees, were most effective in influencing positive health behaviors, health perceptions, and life satisfaction. The worksite wellness program effectively improved health behaviors, health perceptions, and life satisfaction.

Behavioral Health and Health Care Reform Models: Patient-Centered Medical Home, Health Home, and Accountable Care Organization

OpenAIRE

Bao, Yuhua; Casalino, Lawrence P.; Pincus, Harold Alan

2013-01-01

Discussions of health care delivery and payment reforms have largely been silent about how behavioral health could be incorporated into reform initiatives. This paper draws attention to four patient populations defined by the severity of their behavioral health conditions and insurance status. It discusses the potentials and limitations of three prominent models promoted by the Affordable Care Act to serve populations with behavioral health conditions: the Patient Centered Medical Home, the H...

Mobile Patient Monitoring: the MobiHealth System

NARCIS (Netherlands)

Konstantas, D.; van Halteren, Aart; Bults, Richard G.A.; Wac, K.E.; Widya, I.A.; Dokovski, N.T.; Jones, Valerie M.; Dokovsky, Nicolai; Koprinkov, G.T.; Herzog, Rainer; Bos, L.; Laxminarayan, S.

2004-01-01

The forthcoming wide availability of high bandwidth public wireless networks will give rise to new mobile health care services. Towards this direction the MobiHealth1 project has developed and trialed a highly customisable vital signals’ monitoring system based on a Body Area Network (BAN) and an

Scoping review: national monitoring frameworks for social determinants of health and health equity

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Leo Pedrana

2016-02-01

Full Text Available Background: The strategic importance of monitoring social determinants of health (SDH and health equity and inequity has been a central focus in global discussions around the 2011 Rio Political Declaration on SDH and the Millennium Development Goals. This study is part of the World Health Organization (WHO equity-oriented analysis of linkages between health and other sectors (EQuAL project, which aims to define a framework for monitoring SDH and health equity. Objectives: This review provides a global summary and analysis of the domains and indicators that have been used in recent studies covering the SDH. These studies are considered here within the context of indicators proposed by the WHO EQuAL project. The objectives are as follows: to describe the range of international and national studies and the types of indicators most frequently used; report how they are used in causal explanation of the SDH; and identify key priorities and challenges reported in current research for national monitoring of the SDH. Design: We conducted a scoping review of published SDH studies in the PubMed® database to obtain evidence of socio-economic indicators. We evaluated, selected, and extracted data from national scale studies published from 2004 to 2014. The research included papers published in English, Italian, French, Portuguese, and Spanish. Results: The final sample consisted of 96 articles. SDH monitoring is well reported in the scientific literature independent of the economic level of the country and magnitude of deprivation in population groups. The research methods were mostly quantitative and many papers used multilevel and multivariable statistical analyses and indexes to measure health inequalities and SDH. In addition to the usual economic indicators, a high number of socio-economic indicators were used. The indicators covered a broad range of social dimensions, which were given consideration within and across different social groups. Many

Scoping review: national monitoring frameworks for social determinants of health and health equity.

Science.gov (United States)

Pedrana, Leo; Pamponet, Marina; Walker, Ruth; Costa, Federico; Rasella, Davide

2016-01-01

The strategic importance of monitoring social determinants of health (SDH) and health equity and inequity has been a central focus in global discussions around the 2011 Rio Political Declaration on SDH and the Millennium Development Goals. This study is part of the World Health Organization (WHO) equity-oriented analysis of linkages between health and other sectors (EQuAL) project, which aims to define a framework for monitoring SDH and health equity. This review provides a global summary and analysis of the domains and indicators that have been used in recent studies covering the SDH. These studies are considered here within the context of indicators proposed by the WHO EQuAL project. The objectives are as follows: to describe the range of international and national studies and the types of indicators most frequently used; report how they are used in causal explanation of the SDH; and identify key priorities and challenges reported in current research for national monitoring of the SDH. We conducted a scoping review of published SDH studies in the PubMed(®) database to obtain evidence of socio-economic indicators. We evaluated, selected, and extracted data from national scale studies published from 2004 to 2014. The research included papers published in English, Italian, French, Portuguese, and Spanish. The final sample consisted of 96 articles. SDH monitoring is well reported in the scientific literature independent of the economic level of the country and magnitude of deprivation in population groups. The research methods were mostly quantitative and many papers used multilevel and multivariable statistical analyses and indexes to measure health inequalities and SDH. In addition to the usual economic indicators, a high number of socio-economic indicators were used. The indicators covered a broad range of social dimensions, which were given consideration within and across different social groups. Many indicators included in the WHO EQuAL framework were not

Fatigue of Ti6Al4V Structural Health Monitoring Systems Produced by Selective Laser Melting

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Maria Strantza

2016-02-01

Full Text Available Selective laser melting (SLM is an additive manufacturing (AM process which is used for producing metallic components. Currently, the integrity of components produced by SLM is in need of improvement due to residual stresses and unknown fracture behavior. Titanium alloys produced by AM are capable candidates for applications in aerospace and industrial fields due to their fracture resistance, fatigue behavior and corrosion resistance. On the other hand, structural health monitoring (SHM system technologies are promising and requested from the industry. SHM systems can monitor the integrity of a structure and during the last decades the research has primarily been influenced by bionic engineering. In that aspect a new philosophy for SHM has been developed: the so-called effective structural health monitoring (eSHM system. The current system uses the design freedom provided by AM. The working principle of the system is based on crack detection by means of a network of capillaries that are integrated in a structure. The main objective of this research is to evaluate the functionality of Ti6Al4V produced by the SLM process in the novel SHM system and to confirm that the eSHM system can successfully detect cracks in SLM components. In this study four-point bending fatigue tests on Ti6Al4V SLM specimens with an integrated SHM system were conducted. Fractographic analysis was performed after the final failure, while finite element simulations were used in order to determine the stress distribution in the capillary region and on the component. It was proven that the SHM system does not influence the crack initiation behavior during fatigue. The results highlight the effectiveness of the eSHM on SLM components, which can potentially be used by industrial and aerospace applications.

Aging Men’s Health-Related Behaviors

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Terry Peak

2014-11-01

Full Text Available This conceptual review summarizes the current research on older men and their health-related behaviors with special attention given to the influence of the hegemonic masculinity framework over the life span. The authors consider whether masculinity precepts can be modified to enable men to alter their gendered morbidity/mortality factors and achieve healthier and longer lives. Also included is an overview of the gender-based research and health education efforts to persuade men to adopt more effective health-related behaviors or health practices earlier in the life span. Given the current attention being paid to men’s health, for example, their higher risk of morbidity and mortality both generally and at younger ages, and the associated health care costs tied to those risks, the ethical and economic implications of this review may prove useful.

Efficient color correction method for smartphone camera-based health monitoring application.

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Duc Dang; Chae Ho Cho; Daeik Kim; Oh Seok Kwon; Jo Woon Chong

2017-07-01

Smartphone health monitoring applications are recently highlighted due to the rapid development of hardware and software performance of smartphones. However, color characteristics of images captured by different smartphone models are dissimilar each other and this difference may give non-identical health monitoring results when the smartphone health monitoring applications monitor physiological information using their embedded smartphone cameras. In this paper, we investigate the differences in color properties of the captured images from different smartphone models and apply a color correction method to adjust dissimilar color values obtained from different smartphone cameras. Experimental results show that the color corrected images using the correction method provide much smaller color intensity errors compared to the images without correction. These results can be applied to enhance the consistency of smartphone camera-based health monitoring applications by reducing color intensity errors among the images obtained from different smartphones.

Health Behaviors and Self-Reported Health Among Cancer Survivors by Sexual Orientation.

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Jabson, Jennifer M; Farmer, Grant W; Bowen, Deborah J

2015-03-01

Health behaviors and self-reported health are important for understanding cancer survivor health. However, there is a paucity of published research about how cancer survivors' health behaviors and self-rated health vary by sexual orientation. This study examined cancer survivors' health behaviors and self-reported health by sexual orientation. This study used data from the National Health and Nutrition Examination Survey (NHANES) from 2001-2010. Self-reported health and cancer-related health behaviors were compared by sexual orientation. Propensity score adjustment was used to account for differences in age, race, education, gender and health insurance status. Of the 602 survivors eligible for the study, 4.3% identified as sexual minorities. Sexual minorities were 2.6 times more likely to report a history of illicit drug use (adjusted odds ratio [aOR]=2.4, 95% confidence interval [CI]: 1.04, 5.35), and 60% less likely to report their current health status as good (aOR=0.40, 95% CI: 0.18, 0.89), compared to heterosexual cancer survivors. These disparities persisted even after adjustment for socio-demographic characteristics. Our findings suggest that sexual minority cancer survivors may be at greater risk for poorer outcomes after cancer than other survivors. A possible explanation for the observed differences involves minority stress. Future research should test stress as an explanation for these differences. However, using population-methods to achieve this goal requires larger samples of lesbian, gay, and bisexual (LGB) cancer survivors.

Gender, health behavior, and intimate relationships: lesbian, gay, and straight contexts.

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Reczek, Corinne; Umberson, Debra

2012-06-01

Many studies focus on health behavior within the context of intimate ties. However, this literature is limited by reliance on gender socialization theory and a focus on straight (i.e., heterosexual) marriage. We extend this work with an analysis of relationship dynamics around health behavior in 20 long-term straight marriages as well as 15 gay and 15 lesbian long-term cohabiting partnerships in the United States (N = 100 individual in-depth interviews). We develop the concept of "health behavior work" to align activities done to promote health behavior with theories on unpaid work in the home. Respondents in all couple types describe specialized health behavior work, wherein one partner works to shape the other partner's health behavior. In straight couples, women perform the bulk of specialized health behavior work. Most gay and lesbian respondents-but few straight respondents--also describe cooperative health behavior work, wherein partners mutually influence one another's health behaviors. Findings suggest that the gendered relational context of an intimate partnership shapes the dynamics of and explanations for health behavior work. Copyright © 2011 Elsevier Ltd. All rights reserved.

Longitudinal associations between health behaviors and mental health in low-income adults.

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Walsh, Jennifer L; Senn, Theresa E; Carey, Michael P

2013-03-01

Although there are established relationships between physical and mental health, few studies have explored the relationship between health behaviors and mental health over time. To explore rates of health-compromising behaviors (HCBs) and the longitudinal relationship between HCBs and depression, anxiety, and stress, five waves of data were collected over 1 year from 482 patients at an urban public health clinic (47 % female, 68 % African-American, M age = 28). Smoking (61 %), binge drinking (52 %), illegal drug use (53 %), unprotected sex with non-primary partners (55 %), and fast food consumption (71 %) were common, while consumption of fruits or vegetables (30 %) and breakfast (17 %) were rare. Cross-lagged models identified within-time associations between HCBs and depression/anxiety and stress. Additionally, depression/anxiety and stress predicted later HCBs, but HCBs did not predict later mental health. Results suggest that targeting mental health may be important to promoting improvements across multiple health behaviors.

Interactions of Team Mental Models and Monitoring Behaviors Predict Team Performance in Simulated Anesthesia Inductions

Science.gov (United States)

Burtscher, Michael J.; Kolbe, Michaela; Wacker, Johannes; Manser, Tanja

2011-01-01

In the present study, we investigated how two team mental model properties (similarity vs. accuracy) and two forms of monitoring behavior (team vs. systems) interacted to predict team performance in anesthesia. In particular, we were interested in whether the relationship between monitoring behavior and team performance was moderated by team…

Forging Multidisciplinary Collaboration to Improve Mental/Behavioral Health.

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Vaughn, Wanda M; Bunde, Paula K; Remick-Erickson, Kara; Rebeck, Shelby; Denny, Darla

2017-09-01

Five Johnson and Johnson fellows validated the lack of communication regarding students with mental/behavioral health issues and took a leadership position within their school district to address the problem. An open-ended survey revealed inconsistent and fragmented support given to students with mental/behavioral health concerns. A multidisciplinary task force was formed consisting of stakeholders including district and nondistrict community members. The procedure for district staff to address students' behavioral/mental health concerns was adapted by representatives from all stakeholders and was distributed district wide and uploaded to the district's staff website for general access. Training of district employees in Youth Mental Health First Aid has provided the foundation for communicating and implementing a standardized approach for identifying, responding, and referring students with mental/behavioral health concerns. Open dialog, better communication and understanding of disciplines, and more initiatives aimed at improving the mental health of all students has resulted from the collaboration started with this initiative.

Editorial: 3rd Special Issue on behavior change, health, and health disparities.

Science.gov (United States)

Higgins, Stephen T

2016-11-01

This Special Issue of Preventive Medicine (PM) is the 3rd that we have organized on behavior change, health, and health disparities. This is a topic of critical importance to improving U.S. population health. There is broad scientific consensus that personal behaviors such as cigarette smoking, other substance abuse, and physical inactivity/obesity are among the most important modifiable causes of chronic disease and its adverse impacts on population health. Hence, effectively promoting health-related behavior change needs to be a key component of health care research and policy. There is also broad recognition that while these problems extend throughout the population, they disproportionately impact economically disadvantaged populations and other vulnerable populations and represent a major contributor to health disparities. Thus, behavior change represents an essential step in curtailing health disparities, which receives special attention in this 3rd Special Issue. We also devote considerable space to the longstanding challenges of reducing cigarette smoking and use of other tobacco and nicotine delivery products in vulnerable populations, obesity, and for the first time food insecurity. Across each of these topics we include contributions from highly accomplished policymakers and scientists to acquaint readers with recent accomplishments as well as remaining knowledge gaps and challenges. Copyright © 2016 Elsevier Inc. All rights reserved.

Behavioral Health Emergencies Managed by School Nurses Working with Adolescents

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Ramos, Mary M.; Greenberg, Cynthia; Sapien, Robert; Bauer-Creegan, Judith; Hine, Beverly; Geary, Cathy

2013-01-01

Background: As members of interdisciplinary teams, school nurses provide behavioral health services. Studies indicate that school nurses may lack sufficient continuing education in adolescent behavioral health and in the management of behavioral health emergencies, specifically. We conducted this study to describe the adolescent behavioral health…

Differential Effects of Reinforcement on the Self-Monitoring of On-Task Behavior

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Otero, Tiffany L.; Haut, Jillian M.

2016-01-01

In the current study, the differential effects of reinforcement on a self-monitoring intervention were evaluated. Three students nominated by their teachers for having a marked difficultly maintaining on-task behaviors participated in the study. Using an alternating treatments single-case design to assess self-monitoring with and without…

A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial.

Science.gov (United States)

Wang, Jing; Cai, Chunyan; Padhye, Nikhil; Orlander, Philip; Zare, Mohammad

2018-04-10

Self-monitoring is a cornerstone of behavioral lifestyle interventions for obesity and type 2 diabetes mellitus. Mobile technology has the potential to improve adherence to self-monitoring and patient outcomes. However, no study has tested the use of a smartphone to facilitate self-monitoring in overweight or obese adults with type 2 diabetes mellitus living in the underserved community. The aim of this study was to examine the feasibility of and compare preliminary efficacy of a behavioral lifestyle intervention using smartphone- or paper-based self-monitoring of multiple behaviors on weight loss and glycemic control in a sample of overweight or obese adults with type 2 diabetes mellitus living in underserved communities. We conducted a randomized controlled trial to examine the feasibility and preliminary efficacy of a behavioral lifestyle intervention. Overweight or obese patients with type 2 diabetes mellitus were recruited from an underserved minority community health center in Houston, Texas. They were randomly assigned to one of the three groups: (1) behavior intervention with smartphone-based self-monitoring, (2) behavior intervention with paper diary-based self-monitoring, and (3) usual care group. Both the mobile and paper groups received a total of 11 face-to-face group sessions in a 6-month intervention. The mobile group received an Android-based smartphone with 2 apps loaded to help them record their diet, physical activity, weight, and blood glucose, along with a connected glucometer, whereas the paper group used paper diaries for these recordings. Primary outcomes of the study included percentage weight loss and glycated hemoglobin (HbA 1c ) changes over 6 months. A total of 26 patients were enrolled: 11 in the mobile group, 9 in the paper group, and 6 in the control group. We had 92% (24/26) retention rate at 6 months. The sample is predominantly African Americans with an average age of 56.4 years and body mass index of 38.1. Participants lost an

Integrating Social Media Monitoring Into Public Health Emergency Response Operations.

Science.gov (United States)

Hadi, Tamer A; Fleshler, Keren

2016-10-01

Social media monitoring for public health emergency response and recovery is an essential response capability for any health department. The value of social media for emergency response lies not only in the capacity to rapidly communicate official and critical incident information, but as a rich source of incoming data that can be gathered to inform leadership decision-making. Social media monitoring is a function that can be formally integrated into the Incident Command System of any response agency. The approach to planning and required resources, such as staffing, logistics, and technology, is flexible and adaptable based on the needs of the agency and size and scope of the emergency. The New York City Department of Health and Mental Hygiene has successfully used its Social Media Monitoring Team during public health emergency responses and planned events including major Ebola and Legionnaires' disease responses. The concepts and implementations described can be applied by any agency, large or small, interested in building a social media monitoring capacity. (Disaster Med Public Health Preparedness. 2016;page 1 of 6).

Emotional responses to behavioral economic incentives for health behavior change.

Science.gov (United States)

van der Swaluw, Koen; Lambooij, Mattijs S; Mathijssen, Jolanda J P; Zeelenberg, Marcel; Polder, Johan J; Prast, Henriëtte M

2018-03-05

Many people aim to change their lifestyle, but have trouble acting on their intentions. Behavioral economic incentives and related emotions can support commitment to personal health goals, but the related emotions remain unexplored. In a regret lottery, winners who do not attain their health goals do not get their prize but receive feedback on what their forgone earnings would have been. This counterfactual feedback should provoke anticipated regret and increase commitment to health goals. We explored which emotions were actually expected upon missing out on a prize due to unsuccessful weight loss and which incentive-characteristics influence their likelihood and intensity. Participants reported their expected emotional response after missing out on a prize in one of 12 randomly presented incentive-scenarios, which varied in incentive type, incentive size and deadline distance. Participants primarily reported feeling disappointment, followed by regret. Regret was expected most when losing a lottery prize (vs. a fixed incentive) and intensified with prize size. Multiple features of the participant and the lottery incentive increase the occurrence and intensity of regret. As such, our findings can be helpful in designing behavioral economic incentives that leverage emotions to support health behavior change.

Employee Health Behaviors, Self-Reported Health Status, and Association With Absenteeism: Comparison With the General Population.

Science.gov (United States)

Yun, Young Ho; Sim, Jin Ah; Park, Eun-Gee; Park, June Dong; Noh, Dong-Young

2016-09-01

To perform a comparison between health behaviors and health status of employees with those of the general population, to evaluate the association between employee health behaviors, health status, and absenteeism. Cross-sectional study enrolled 2433 employees from 16 Korean companies in 2014, and recruited 1000 general population randomly in 2012. The distribution of employee health behaviors, health status, and association with absenteeism were assessed. Employees had significantly worse health status and low rates of health behaviors maintenance compared with the general population. Multiple logistic regression model revealed that regular exercise, smoking cessation, work life balance, proactive living, religious practice, and good physical health status were associated with lower absenteeism. Maintaining health behaviors and having good health status were associated with less absenteeism. This study suggests investment of multidimensional health approach in workplace health and wellness (WHW) programs.

A Scoping Review of Observational Studies Examining Relationships between Environmental Behaviors and Health Behaviors

Directory of Open Access Journals (Sweden)

Jayne Hutchinson

2015-05-01

Full Text Available Individual lifestyles are key drivers of both environmental change and chronic disease. We undertook a scoping review of peer-reviewed studies which examined associations between environmental and health behaviors of individuals in high-income countries. We searched EconLit, Medline, BIOSIS and the Social Science Citation Index. A total of 136 studies were included. The majority were USA-based cross-sectional studies using self-reported measures. Most of the evidence related to travel behavior, particularly active travel (walking and cycling and physical activity (92 studies or sedentary behaviors (19 studies. Associations of public transport use with physical activity were examined in 18 studies, and with sedentary behavior in one study. Four studies examined associations between car use and physical activity. A small number included other environmental behaviors (food-related behaviors (n = 14, including organic food, locally-sourced food and plate waste and other health behaviors ((n = 20 smoking, dietary intake, alcohol. These results suggest that research on individual environmental and health behaviors consists largely of studies examining associations between travel mode and levels of physical activity. There appears to be less research on associations between other behaviors with environmental and health impacts, and very few longitudinal studies in any domain.

Indexed bibliography on tritium: its sources and projections, behavior, measurement and monitoring techniques, health physics aspects, and waste management

International Nuclear Information System (INIS)

Dixon, M.N.; Holoway, C.F.; Houser, B.L.; Jacobs, D.G.

1975-08-01

References are presented to the world literature on sources of tritium in the environment, the migration of tritium in the environment and uptake by biological materials, monitoring methods, health aspects, and radioactive waste management. Subject, author, and permuted title indexes are included. (U.S.)

Associations between health culture, health behaviors, and health-related outcomes: A cross-sectional study.

Science.gov (United States)

Jia, Yingnan; Gao, Junling; Dai, Junming; Zheng, Pinpin; Fu, Hua

2017-01-01

To examine the associations between demographic characteristics, health behaviors, workplace health culture, and health-related outcomes in Chinese workplaces. A total of 1508 employees from 10 administrative offices and 6 enterprises were recruited for a cross-sectional survey. Self-administered questionnaires mainly addressed demographic characteristics, health behaviors, workplace health culture, and health-related outcomes including self-rated health, mental health, and happiness. The proportion of participants who reported good health-related outcomes was significantly higher in those working in administrative offices than those working in enterprises. The result of the potential factors related to self-rated health (SRH), mental health, and happiness by logistic regression analyses showed that age and income were associated with SRH; type of workplace, age, smoking, and health culture at the workplace level were associated with mental health; and beneficial health effects of direct leadership was positively associated with happiness. Moreover, there were some similar results among 3 multivariate regression models. Firstly, good SRH (Odds Ratio (OR) = 1.744), mental health (OR = 1.891), and happiness (OR = 1.736) were more common among highly physically active participants compared with those physical inactive. Furthermore, passive smoking was negatively correlated with SRH (OR = 0.686), mental health (OR = 0.678), and happiness (OR = 0.616), while health culture at the individual level was positively correlated with SRH (OR = 1.478), mental health (OR = 1.654), and happiness (OR = 2.916). The present study indicated that workplace health culture, health behaviors, and demographic characteristics were associated with health-related outcomes. Furthermore, individual health culture, physical activity, and passive smoking might play a critical role in workplace health promotion.

Substance Abuse and Mental Health Services Administration (SAMHSA) Behavioral Health Disaster Response App.

Science.gov (United States)

Seligman, Jamie; Felder, Stephanie S; Robinson, Maryann E

2015-10-01

The Substance Abuse and Mental Health Services Administration (SAMHSA) in the Department of Health and Human Services offers extensive disaster behavior health resources to assist disaster survivors in preparing for, responding to, and recovering from natural and manmade disasters. One of SAMHSA's most innovative resources is the SAMHSA Behavioral Health Disaster Response App (SAMHSA Disaster App). The SAMHSA Disaster App prepares behavioral health responders for any type of traumatic event by allowing them to access disaster-related materials and other key resources right on their phone, at the touch of a button. The SAMHSA Disaster App is available on iPhone, Android, and BlackBerry devices.

Editorial: 2nd Special Issue on behavior change, health, and health disparities.

Science.gov (United States)

Higgins, Stephen T

2015-11-01

This Special Issue of Preventive Medicine (PM) is the 2nd that we have organized on behavior change, health, and health disparities. This is a topic of fundamental importance to improving population health in the U.S. and other industrialized countries that are trying to more effectively manage chronic health conditions. There is broad scientific consensus that personal behavior patterns such as cigarette smoking, other substance abuse, and physical inactivity/obesity are among the most important modifiable causes of chronic disease and its adverse impacts on population health. As such behavior change needs to be a key component of improving population health. There is also broad agreement that while these problems extend across socioeconomic strata, they are overrepresented among more economically disadvantaged populations and contribute directly to the growing problem of health disparities. Hence, behavior change represents an essential step in curtailing that unsettling problem as well. In this 2nd Special Issue, we devote considerable space to the current U.S. prescription opioid addiction epidemic, a crisis that was not addressed in the prior Special Issue. We also continue to devote attention to the two largest contributors to preventable disease and premature death, cigarette smoking and physical inactivity/obesity as well as risks of co-occurrence of these unhealthy behavior patterns. Across each of these topics we included contributions from highly accomplished policy makers and scientists to acquaint readers with recent accomplishments as well as remaining knowledge gaps and challenges to effectively managing these important chronic health problems. Copyright © 2015 Elsevier Inc. All rights reserved.

Health literacy and health-promoting behaviors among multiethnic groups of women in Taiwan.

Science.gov (United States)

Tsai, Hsiu-Min; Cheng, Ching-Yu; Chang, Shu-Chen; Yang, Yung-Mei; Wang, Hsiu-Hung

2014-01-01

To understand the current status of health literacy and the relationship between health literacy and health-promoting behaviors among multiethnic groups of women in Taiwan. Convenience and snowball sampling methods were used to recruit study participants. Data were collected using a cross-sectional questionnaire survey. We recruited community female adults who lived in greater Taipei or Taoyuan areas (northern Taiwan) from January 1, 2010 through June 30, 2011. A total of 378 female participants were contacted, of which 351 consented to participate and 347 completed valid questionnaires for analysis. Health literacy was measured with the Taiwan Health Literacy Scale, and health-promoting behaviors were measured by the Chinese version of the Health-Promoting Lifestyle Profile. Participants had a moderate level of health literacy, and one third of them had inadequate health literacy. Participants with inadequate health literacy were more likely to be younger, not a high school graduate, and Vietnamese; to have a low monthly family income and no diagnosed diseases; to use a second language; and to regard TV/radio as the most useful source of health information. Health literacy alone could significantly predict health-promoting behaviors among the participants. Our findings confirmed that low health literacy is prevalent among underprivileged women in Taiwan. Health-related programs that are literacy sensitive and culturally appropriate are needed to teach and encourage health-promoting behaviors. © 2013 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.

Three-Dimensional Health Monitoring of Sandwich Composites, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — This SBIR project delivers a single-chip structural health-monitoring (SHM) system that uses the impedance method to monitor bulk interiors and wave propagation...

Acoustic Emission Behavior of Early Age Concrete Monitored by Embedded Sensors.

Science.gov (United States)

Qin, Lei; Ren, Hong-Wei; Dong, Bi-Qin; Xing, Feng

2014-10-02

Acoustic emission (AE) is capable of monitoring the cracking activities inside materials. In this study, embedded sensors were employed to monitor the AE behavior of early age concrete. Type 1-3 cement-based piezoelectric composites, which had lower mechanical quality factor and acoustic impedance, were fabricated and used to make sensors. Sensors made of the composites illustrated broadband frequency response. In a laboratory, the cracking of early age concrete was monitored to recognize different hydration stages. The sensors were also embedded in a mass concrete foundation to localize the temperature gradient cracks.

Relationship between Health Literacy, Health-Related Behaviors and Health Status: A Survey of Elderly Chinese

Science.gov (United States)

Liu, Yong-Bing; Liu, Liu; Li, Yan-Fei; Chen, Yan-Li

2015-01-01

Background: Despite the large volume of research dedicated to health-related behavior change, chronic disease costs continue to rise, thus creating a major public health burden. Health literacy, the ability to seek, understand, and utilize health information, has been identified as an important factor in the course of chronic conditions. Little research has been conducted on the relationship between health literacy and health-related behaviors and health status in elderly Chinese. The aim of this study was to elucidate the relationship between health literacy and health-related behaviors and health status in China. Methods: The subjects enrolled in this study were selected based on a stratified cluster random sampling design. Information involving >4500 older adults in 44 pension institutions in Urumqi, Changji, Karamay, and Shihezi of Xinjiang between September 2011 and June 2012 was collected. The Chinese Citizen Health Literacy Questionnaire (China Health Education Centre, 2008) and a Scale of the General Status were administered and the information was obtained through face-to-face inquiries by investigators. A total of 1452 respondents met the inclusion criteria. A total of 1452 questionnaires were issued and the valid response rate was 96.14% (1396 of 1452). Factors affecting health literacy and the relationship to health literacy were identified by one-way ANOVA and a multiple linear regression model. Results: The average health literacy level of the elderly in nursing homes was relatively low (71.74 ± 28.35 points). There were significant differences in the health literacy score among the factors of age, gender, race, education level, household income, marital conditions, and former occupation (p 0.05). Multiple linear regression analysis showed that the independent influencing factors of health literacy included education level, race, former occupation, household income, age, physical exercise, health examination, smoking, and health information access (p

Smart Materials in Structural Health Monitoring, Control and Biomechanics

CERN Document Server

Soh, Chee-Kiong; Bhalla, Suresh

2012-01-01

"Smart Materials in Structural Health Monitoring, Control and Biomechanics" presents the latest developments in structural health monitoring, vibration control and biomechanics using smart materials. The book mainly focuses on piezoelectric, fibre optic and ionic polymer metal composite materials. It introduces concepts from the very basics and leads to advanced modelling (analytical/ numerical), practical aspects (including software/ hardware issues) and case studies spanning civil, mechanical and aerospace structures, including bridges, rocks and underground structures. This book is intended for practicing engineers, researchers from academic and R&D institutions and postgraduate students in the fields of smart materials and structures, structural health monitoring, vibration control and biomedical engineering. Professor Chee-Kiong Soh and Associate Professor Yaowen Yang both work at the School of Civil and Environmental Engineering, Nanyang Technological University, Singapore. Dr. Suresh Bhalla is an A...

[Health behavior change: motivational interviewing].

Science.gov (United States)

Pócs, Dávid; Hamvai, Csaba; Kelemen, Oguz

2017-08-01

Public health data show that early mortality in Hungary could be prevented by smoking cessation, reduced alcohol consumption, regular exercise, healthy diet and increased adherence. Doctor-patient encounters often highlight these aspects of health behavior. There is evidence that health behavior change is driven by internal motivation rather than external influence. This finding has led to the concept of motivational interview, which is a person-centered, goal-oriented approach to counselling. The doctor asks targeted questions to elicit the patient's motivations, strengths, internal resources, and to focus the interview around these. The quality and quantity of the patient's change talk is related to better outcomes. In addition, the interview allows the patient to express ambivalent feelings and doubts about the change. The doctor should use various communication strategies to resolve this ambivalence. Furthermore, establishing a good doctor-patient relationship is the cornerstone of the motivational interview. An optimal relationship can evoke change talk and reduce the patient's resistance, which can also result in a better outcome. The goal of the motivational interview is to focus on the 'why' to change health behavior rather than the 'how', and to utilize internal motivation instead of persuasion. This is the reason why motivational interview has become a widely-accepted evidence based approach. Orv Hetil. 2017; 158(34): 1331-1337.

[The health preserving behavior in adolescents].

Science.gov (United States)

Al'bitskii, V Iu; Makeev, N I

2010-01-01

The article deals with the results of study of health preserving behavior of 310 students of senior classes of high schools of town of Jukovsky of Moskovskaya oblast. The higher level of prevalence of harmful habits among adolescents is revealed. It is emphasized that among girls the prevalence of harmful habits is not at large lower than among boys. The lower level of medical activities of respondents is explained by mistrusting physicians of curative preventive establishments, fear of queues, self-confidence in one's own knowledge and low level of medical awareness. The priority of physical culture and sport in the life of adolescents is reducing. The reorientation of trends in modern fashion to the behavior stereotypes with motional activities restriction occurs. The making of conditions to develop consistent health preserving behavior can become the most important reserve of preservation and enhancement of adolescents' health.

Prognostics and Health Monitoring: Application to Electric Vehicles

Science.gov (United States)

Kulkarni, Chetan S.

2017-01-01

As more and more autonomous electric vehicles emerge in our daily operation progressively, a very critical challenge lies in accurate prediction of remaining useful life of the systemssubsystems, specifically the electrical powertrain. In case of electric aircrafts, computing remaining flying time is safety-critical, since an aircraft that runs out of power (battery charge) while in the air will eventually lose control leading to catastrophe. In order to tackle and solve the prediction problem, it is essential to have awareness of the current state and health of the system, especially since it is necessary to perform condition-based predictions. To be able to predict the future state of the system, it is also required to possess knowledge of the current and future operations of the vehicle.Our research approach is to develop a system level health monitoring safety indicator either to the pilotautopilot for the electric vehicles which runs estimation and prediction algorithms to estimate remaining useful life of the vehicle e.g. determine state-of-charge in batteries. Given models of the current and future system behavior, a general approach of model-based prognostics can be employed as a solution to the prediction problem and further for decision making.

Parent-child communication processes: preventing children's health-risk behavior.

Science.gov (United States)

Riesch, Susan K; Anderson, Lori S; Krueger, Heather A

2006-01-01

Review individual, family, and environmental factors that predict health-risk behavior among children and to propose parent-child communication processes as a mechanism to mediate them. Improving parent-child communication processes may: reduce individual risk factors, such as poor academic achievement or self-esteem; modify parenting practices such as providing regulation and structure and acting as models of health behavior; and facilitate discussion about factors that lead to involvement in health-risk behaviors. Assessment strategies to identify youth at risk for health-risk behavior are recommended and community-based strategies to improve communication among parents and children need development.

Forest health monitoring: 2005 national technical report

Science.gov (United States)

Mark J. Ambrose; Barbara L. Conkling

2007-01-01

The Forest Health Monitoring program's annual national technical report presents results of forest health analyses from a national perspective using data from a variety of sources. The report is organized according to the Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests of the Santiago Declaration. The results...

Forest health monitoring: 2006 national technical report

Science.gov (United States)

Mark J. Ambrose; Barbara L. Conkling

2009-01-01

The Forest Health Monitoring Program’s annual national technical report presents results of forest health analyses from a national perspective using data from a variety of sources. The report is organized according to the Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests of the...

Intelligent Control and Health Monitoring. Chapter 3

Science.gov (United States)

Garg, Sanjay; Kumar, Aditya; Mathews, H. Kirk; Rosenfeld, Taylor; Rybarik, Pavol; Viassolo, Daniel E.

2009-01-01

Advanced model-based control architecture overcomes the limitations state-of-the-art engine control and provides the potential of virtual sensors, for example for thrust and stall margin. "Tracking filters" are used to adapt the control parameters to actual conditions and to individual engines. For health monitoring standalone monitoring units will be used for on-board analysis to determine the general engine health and detect and isolate sudden faults. Adaptive models open up the possibility of adapting the control logic to maintain desired performance in the presence of engine degradation or to accommodate any faults. Improved and new sensors are required to allow sensing at stations within the engine gas path that are currently not instrumented due in part to the harsh conditions including high operating temperatures and to allow additional monitoring of vibration, mass flows and energy properties, exhaust gas composition, and gas path debris. The environmental and performance requirements for these sensors are summarized.

Physical health care monitoring for people with serious mental illness.

Science.gov (United States)

Tosh, Graeme; Clifton, Andrew V; Xia, Jun; White, Margueritte M

2014-01-17

Current guidance suggests that we should monitor the physical health of people with serious mental illness, and there has been a significant financial investment over recent years to provide this. To assess the effectiveness of physical health monitoring, compared with standard care for people with serious mental illness. We searched the Cochrane Schizophrenia Group Trials Register (October 2009, update in October 2012), which is based on regular searches of CINAHL, EMBASE, MEDLINE and PsycINFO. All randomised clinical trials focusing on physical health monitoring versus standard care, or comparing i) self monitoring versus monitoring by a healthcare professional; ii) simple versus complex monitoring; iii) specific versus non-specific checks; iv) once only versus regular checks; or v) different guidance materials. Initially, review authors (GT, AC, SM) independently screened the search results and identified three studies as possibly fulfilling the review's criteria. On examination, however, all three were subsequently excluded. Forty-two additional citations were identified in October 2012 and screened by two review authors (JX and MW), 11 of which underwent full screening. No relevant randomised trials which assess the effectiveness of physical health monitoring in people with serious mental illness have been completed. We identified one ongoing study. There is still no evidence from randomised trials to support or refute current guidance and practice. Guidance and practice are based on expert consensus, clinical experience and good intentions rather than high quality evidence.

Real-time health monitoring of civil infrastructure systems in Colombia

Science.gov (United States)

Thomson, Peter; Marulanda Casas, Johannio; Marulanda Arbelaez, Johannio; Caicedo, Juan

2001-08-01

Colombia's topography, climatic conditions, intense seismic activity and acute social problems place high demands on the nations deteriorating civil infrastructure. Resources that are available for maintenance of the road and railway networks are often misdirected and actual inspection methods are limited to a visual examination. New techniques for inspection and evaluation of safety and serviceability of civil infrastructure, especially bridges, must be developed. Two cases of civil structures with health monitoring systems in Colombia are presented in this paper. Construction of the Pereria-Dos Quebradas Viaduct was completed in 1997 with a total cost of 58 million dollars, including 1.5 million dollars in health monitoring instrumentation provided and installed by foreign companies. This health monitoring system is not yet fully operational due to the lack of training of national personnel in system operation and extremely limited technical documentation. In contrast to the Pereria-Dos Quebradas Viaduct monitoring system, the authors have proposed a relatively low cost health monitoring system via telemetry. This system has been implemented for real-time monitoring of accelerations of El Hormiguero Bridge spanning the Cauca River using the Colombian Southwest Earthquake Observatory telemetry systems. This two span metallic bridge, located along a critical road between the cities of Puerto Tejada and Cali in the Cauca Valley, was constructed approximately 50 years ago. Experiences with this system demonstrate how effective low cost systems can be used to remotely monitor the structural integrity of deteriorating structures that are continuously subject to high loading conditions.

Health literacy mediates the relationship between educational attainment and health behavior

DEFF Research Database (Denmark)

Friis, Karina; Lasgaard, Mathias; Rowlands, Gill

2016-01-01

behavior (smoking, physical inactivity, poor diet) and obesity. The study included respondents ages 25 years or older drawn from a large population-based survey conducted in 2013 (N = 29,473). Two scales from the Health Literacy Questionnaire were used: (a) Understanding health information well enough...... to know what to do and (b) Ability to actively engage with health care providers. Multiple mediation analyses were conducted using the Karlson-Holm-Breen method. The study showed that health literacy in general and the ability to understand health information in particular mediated the relationship......Individuals with a lower education level frequently have unhealthier behaviors than individuals with a higher education level, but the pathway is not fully understood. The aim of this study was to investigate whether health literacy mediates the association between educational attainment and health...

[Monitoring social determinants of health].

Science.gov (United States)

Espelt, Albert; Continente, Xavier; Domingo-Salvany, Antonia; Domínguez-Berjón, M Felicitas; Fernández-Villa, Tania; Monge, Susana; Ruiz-Cantero, M Teresa; Perez, Glòria; Borrell, Carme

2016-11-01

Public health surveillance is the systematic and continuous collection, analysis, dissemination and interpretation of health-related data for planning, implementation and evaluation of public health initiatives. Apart from the health system, social determinants of health include the circumstances in which people are born, grow up, live, work and age, and they go a long way to explaining health inequalities. A surveillance system of the social determinants of health requires a comprehensive and social overview of health. This paper analyses the importance of monitoring social determinants of health and health inequalities, and describes some relevant aspects concerning the implementation of surveillance during the data collection, compilation and analysis phases, as well as dissemination of information and evaluation of the surveillance system. It is important to have indicators from sources designed for this purpose, such as continuous records or periodic surveys, explicitly describing its limitations and strengths. The results should be published periodically in a communicative format that both enhances the public's ability to understand the problems that affect them, whilst at the same time empowering the population, with the ultimate goal of guiding health-related initiatives at different levels of intervention. Copyright © 2016 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

Smart homes and home health monitoring technologies for older adults: A systematic review.

Science.gov (United States)

Liu, Lili; Stroulia, Eleni; Nikolaidis, Ioanis; Miguel-Cruz, Antonio; Rios Rincon, Adriana

2016-07-01

Around the world, populations are aging and there is a growing concern about ways that older adults can maintain their health and well-being while living in their homes. The aim of this paper was to conduct a systematic literature review to determine: (1) the levels of technology readiness among older adults and, (2) evidence for smart homes and home-based health-monitoring technologies that support aging in place for older adults who have complex needs. We identified and analyzed 48 of 1863 relevant papers. Our analyses found that: (1) technology-readiness level for smart homes and home health monitoring technologies is low; (2) the highest level of evidence is 1b (i.e., one randomized controlled trial with a PEDro score ≥6); smart homes and home health monitoring technologies are used to monitor activities of daily living, cognitive decline and mental health, and heart conditions in older adults with complex needs; (3) there is no evidence that smart homes and home health monitoring technologies help address disability prediction and health-related quality of life, or fall prevention; and (4) there is conflicting evidence that smart homes and home health monitoring technologies help address chronic obstructive pulmonary disease. The level of technology readiness for smart homes and home health monitoring technologies is still low. The highest level of evidence found was in a study that supported home health technologies for use in monitoring activities of daily living, cognitive decline, mental health, and heart conditions in older adults with complex needs. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Health-related behaviors and technology usage among college students.

Science.gov (United States)

Melton, Bridget F; Bigham, Lauren E; Bland, Helen W; Bird, Matthew; Fairman, Ciaran

2014-07-01

To examine associations between technology usage and specific health factors among college students. The research employed was a quantitative, descriptive, cross-sectional design; undergraduate students enrolled in spring 2012 general health education courses were recruited to participate. To explore college students' specific technology usage and health-related behaviors, a 28-item questionnaire was utilized. Statistical significant differences of technology usage were found between 3 of the 4 health-related behaviors under study (BMI, sleep, and nutrition) (p technology usage continues to evolve within the college student population, health professionals need to understand its implications on health behaviors.

An Integrative Behavioral Health Care Model Using Automated SBIRT and Care Coordination in Community Health Care.

Science.gov (United States)

Dwinnells, Ronald; Misik, Lauren

2017-10-01

Efficient and effective integration of behavioral health programs in a community health care practice emphasizes patient-centered medical home principles to improve quality of care. A prospective, 3-period, interrupted time series study was used to explore which of 3 different integrative behavioral health care screening and management processes were the most efficient and effective in prompting behavioral health screening, identification, interventions, and referrals in a community health practice. A total of 99.5% ( P < .001) of medical patients completed behavioral health screenings; brief intervention rates nearly doubled to 83% ( P < .001) and 100% ( P < .001) of identified at-risk patients had referrals made using a combination of electronic tablets, electronic medical record, and behavioral health care coordination.

Structural health monitoring an advanced signal processing perspective

CERN Document Server

Chen, Xuefeng; Mukhopadhyay, Subhas

2017-01-01

This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.

Financial incentives for healthy behavior: ethical safeguards for behavioral economics.

Science.gov (United States)

Lunze, Karsten; Paasche-Orlow, Michael K

2013-06-01

Economic incentives to promote healthy behavior are becoming increasingly common and have been suggested as an approach to decreasing healthcare costs. Ethical concerns about programs with such incentives are that they may contribute to inequities, be coercive, interfere with therapeutic relationships, undermine personal responsibility for health, and decrease social solidarity. Additionally, they may be a source of stigma or discrimination, promote dependence, and be unfair for those already engaged in targeted health behaviors or those who cannot fulfill the incentivized behaviors. Incentive programs need to incorporate appropriate safeguards to monitor these risks and support fairness in offering economic incentives to promote healthy behavior. Copyright © 2013 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

The Behavioral Health Role in Nursing Facility Social Work.

Science.gov (United States)

Myers, Dennis R; Rogers, Robin K; LeCrone, Harold H; Kelley, Katherine

2017-09-01

Types of compromised resident behaviors licensed nursing facility social workers encounter, the behavioral health role they enact, and effective practices they apply have not been the subject of systematic investigation. Analyses of 20 in-depth interviews with Bachelor of Social Work (BSW)/Master of Social Work (MSW) social workers averaging 8.8 years of experience identified frequently occurring resident behaviors: physical and verbal aggression/disruption, passive disruption, socially and sexually inappropriateness. Six functions of the behavioral health role were care management, educating, investigating, preventing, mediating, and advocating. Skills most frequently applied were attention/affirmation/active listening, assessment, behavior management, building relationship, teamwork, and redirection. Narratives revealed role rewards as well as knowledge deficits, organizational barriers, personal maltreatment, and frustrations. Respondents offered perspectives and prescriptions for behavioral health practice in this setting. The findings expand understanding of the behavioral health role and provide an empirical basis for more research in this area. Recommendations, including educational competencies, are offered.

Family and School Influences on Youths' Behavioral and Academic Outcomes: Cross-Level Interactions between Parental Monitoring and Character Development Curriculum.

Science.gov (United States)

Top, Namik; Liew, Jeffrey; Luo, Wen

2017-01-01

The authors examined the joint (interactive) roles of the Second Step curriculum (a validated social-emotional learning and bullying prevention program; Committee for Children, Seattle, WA) and parenting practices on students' behavioral and academic outcomes in Grades 5-8. Participants were 763 parents and their children from 22 schools (8 control and 14 treatment). A 2-level random coefficient model was conducted to assess the effect of parental monitoring on school outcomes, as well as the interaction between character development curriculum and parental monitoring. Results indicated that parental monitoring was a significant predictor of school behaviors and school grades. Furthermore, the Second Step curriculum moderated the relationship between parental monitoring and problem behaviors, prosocial behaviors, and grades at school. Specifically, in schools without the Second Step curriculum parental monitoring predicted higher school grades but had no impact on students' school behaviors. By contrast, in schools with the Second Step curriculum, parental monitoring predicted fewer problem behaviors as well as more prosocial behaviors. The study results highlight the joint influences of the family and the school in children's behavioral and academic trajectories. Results have implications for education and intervention, including improving the school climate, student behaviors, and learning or achievement.

The effect of individual factors on health behaviors among college students: the mediating effects of eHealth literacy.

Science.gov (United States)

Hsu, WanChen; Chiang, ChiaHsun; Yang, ShuChing

2014-12-12

College students' health behavior is a topic that deserves attention. Individual factors and eHealth literacy may affect an individual's health behaviors. The integrative model of eHealth use (IMeHU) provides a parsimonious account of the connections among the digital divide, health care disparities, and the unequal distribution and use of communication technologies. However, few studies have explored the associations among individual factors, eHealth literacy, and health behaviors, and IMeHU has not been empirically investigated. This study examines the associations among individual factors, eHealth literacy, and health behaviors using IMeHU. The Health Behavior Scale is a 12-item instrument developed to measure college students' eating, exercise, and sleep behaviors. The eHealth Literacy Scale is a 12-item instrument designed to measure college students' functional, interactive, and critical eHealth literacy. A nationally representative sample of 525 valid college students in Taiwan was surveyed. A questionnaire was administered to collect background information about participants' health status, degree of health concern, major, and the frequency with which they engaged in health-related discussions. This study used Amos 6.0 to conduct a confirmatory factor analysis to identify the best measurement models for the eHealth Literacy Scale and the Health Behavior Scale. We then conducted a multiple regression analysis to examine the associations among individual factors, eHealth literacy, and health behaviors. Additionally, causal steps approach was used to explore indirect (mediating) effects and Sobel tests were used to test the significance of the mediating effects. The study found that perceptions of better health status (t520=2.14-6.12, PeHealth literacy and adoption of healthy eating, exercise, and sleep behaviors. Moreover, eHealth literacy played an intermediary role in the association between individual factors and health behaviors (Sobel test=2.09-2.72, PeHealth

Associations Between Maternal Mental Health and Well-being and Physical Activity and Sedentary Behavior in Children.

Science.gov (United States)

Maher, Jaclyn P; Ra, Chaelin; OʼConnor, Sydney G; Belcher, Britni R; Leventhal, Adam; Margolin, Gayla; Dunton, Genevieve F

This study assessed whether aspects of maternal mental health and well-being were associated with objective monitor-based measures of child's physical activity (PA) and sedentary behavior (SB) and the extent to which household structure (i.e., single- vs multigenerational/dual-parent) and maternal employment (i.e., full-time vs not full-time) moderated those associations. Dyads (N = 191) of mothers and their 8- to 12-year-old children participated in the baseline wave of the Mother's and Their Children's Health study. Mothers (Mage = 40.9 yr [SD = 6.1]; 49% Hispanic) completed a battery of questionnaires to assess maternal mental health and well-being (i.e., self-esteem, life satisfaction, depressive symptoms, anxiety, perceived stress, parenting stress, financial stress, and life events stress). Children (Mage = 9.6 yr [SD = 0.9]; 54% Hispanic; 51% girls) wore an accelerometer across 1 week during waking hours to objectively measure moderate-to-vigorous PA (MVPA) and SB. In single-parent families (n = 47), but not multigenerational/dual-parent families, mothers' parenting stress was negatively associated with child's MVPA (β = -.34, p = .02). In corrected analyses, all other aspects of maternal mental health and well-being were not related to children's activity patterns. Parenting stress was the only maternal mental health variable associated with objective monitor-based measures of child's PA after adjusting for multiple comparisons. Results indicated weaker associations between maternal mental health and well-being and child's MVPA and SB than previously identified using subjective measures of behavior. Study findings support the need to use objective measurements of child's activity patterns to minimize potential confounding because of maternal report in evaluating child's PA and SB.

In situ health monitoring of piezoelectric sensors

Science.gov (United States)

Jensen, Scott L. (Inventor); Drouant, George J. (Inventor)

2013-01-01

An in situ health monitoring apparatus may include an exciter circuit that applies a pulse to a piezoelectric transducer and a data processing system that determines the piezoelectric transducer's dynamic response to the first pulse. The dynamic response can be used to evaluate the operating range, health, and as-mounted resonance frequency of the transducer, as well as the strength of a coupling between the transducer and a structure and the health of the structure.

Parenting style, parenting stress, and children's health-related behaviors.

Science.gov (United States)

Park, Hyunjeong; Walton-Moss, Benita

2012-07-01

Parental guidance is critical to the development of children's health-related behaviors. The purpose of this study was to look at the relationship between parenting factors, including parenting style and parenting stress, and children's health-related behaviors. In this descriptive, correlational study, 284 parents of preschool children were interviewed using the Child Rearing Questionnaire and the Korean Parenting Stress Index-Short Form. Parent distress, authoritative and permissive parenting styles, family income, and mother's education were significantly associated with children's health-related behaviors. These findings suggest that higher levels of warmth, characteristics of both parenting styles, may be a critical factor in the development of health-related behaviors.

System Identification of Wind Turbines for Structural Health Monitoring

DEFF Research Database (Denmark)

Perisic, Nevena

Structural health monitoring is a multi-disciplinary engineering field that should allow the actual wind turbine maintenance programmes to evolve to the next level, hence increasing safety and reliability and decreasing turbines downtime. The main idea is to have a sensing system on the structure...... cases are considered, two practical problems from the wind industry are studied, i.e. monitoring of the gearbox shaft torque and the tower root bending moments. The second part of the thesis is focused on the influence of friction on the health of the wind turbine and on the nonlinear identification...... that monitors the system responses and notifies the operator when damages or degradations have been detected. However, some of the response signals that contain important information about the health of the wind turbine components cannot be directly measured, or measuring them is highly complex and costly...

Regional Geographic Information Systems of Health and Environmental Monitoring

Directory of Open Access Journals (Sweden)

Kurolap Semen A.

2016-12-01

Full Text Available The article describes a new scientific and methodological approach to designing geographic information systems of health and environmental monitoring for urban areas. Geographic information systems (GIS are analytical tools of the regional health and environmental monitoring; they are used for an integrated assessment of the environmental status of a large industrial centre or a part of it. The authors analyse the environmental situation in Voronezh, a major industrial city, located in the Central Black Earth Region with a population of more than 1 million people. The proposed research methodology is based on modern approaches to the assessment of health risks caused by adverse environmental conditions. The research work was implemented using a GIS and multicriteria probabilistic and statistical evaluation to identify cause-and-effect links, a combination of action and reaction, in the dichotomy ‘environmental factors — public health’. The analysis of the obtained statistical data confirmed an increase in childhood diseases in some areas of the city. Environmentally induced diseases include congenital malformations, tumors, endocrine and urogenital pathologies. The main factors having an adverse impact on health are emissions of carcinogens into the atmosphere and the negative impact of transport on the environment. The authors identify and characterize environmentally vulnerable parts of the city and developed principles of creating an automated system of health monitoring and control of environmental risks. The article offers a number of measures aimed at the reduction of environmental risks, better protection of public health and a more efficient environmental monitoring.

Introduction to: The Forest Health monitoring program

Science.gov (United States)

Barbara L. Conkling

2011-01-01

The National Forest Health Monitoring (FHM) Program of the Forest Service, U.S. Department of Agriculture, produces an annual technical report on forest health as one of its products. The report is organized using the Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests (Montréal Process Working Group 2007) as a...

Monitoring and Benchmarking eHealth in the Nordic Countries.

Science.gov (United States)

Nøhr, Christian; Koch, Sabine; Vimarlund, Vivian; Gilstad, Heidi; Faxvaag, Arild; Hardardottir, Gudrun Audur; Andreassen, Hege K; Kangas, Maarit; Reponen, Jarmo; Bertelsen, Pernille; Villumsen, Sidsel; Hyppönen, Hannele

2018-01-01

The Nordic eHealth Research Network, a subgroup of the Nordic Council of Ministers eHealth group, is working on developing indicators to monitor progress in availability, use and outcome of eHealth applications in the Nordic countries. This paper reports on the consecutive analysis of National eHealth policies in the Nordic countries from 2012 to 2016. Furthermore, it discusses the consequences for the development of indicators that can measure changes in the eHealth environment arising from the policies. The main change in policies is reflected in a shift towards more stakeholder involvement and intensified focus on clinical infrastructure. This change suggests developing indicators that can monitor understandability and usability of eHealth systems, and the use and utility of shared information infrastructure from the perspective of the end-users - citizens/patients and clinicians in particular.

Emotional responses to behavioral economic incentives for health behavior change

NARCIS (Netherlands)

van der Swaluw, Koen; Lambooij, Mattijs S.; Mathijssen, Jolanda J.P.; Zeelenberg, Marcel; Polder, Johan J.; Prast, Henriëtte M.

2018-01-01

Many people aim to change their lifestyle, but have trouble acting on their intentions. Behavioral economic incentives and related emotions can support commitment to personal health goals, but the related emotions remain unexplored. In a regret lottery, winners who do not attain their health goals

Emotional Responses to Behavioral Economic Incentives for Health Behavior Change

NARCIS (Netherlands)

van der Swaluw, Koen; Lambooij, Mattijs S; Mathijssen, Jolanda; Zeelenberg, Marcel; Polder, Johan; Prast, Henriette

2018-01-01

Many people aim to change their lifestyle, but have trouble acting on their intentions. Behavioral economic incentives and related emotions can support commitment to personal health goals, but the related emotions remain unexplored. In a regret lottery, winners who do not attain their health goals

Does Integrated Behavioral Health Care Reduce Mental Health Disparities for Latinos? Initial Findings

Science.gov (United States)

Bridges, Ana J.; Andrews, Arthur R.; Villalobos, Bianca T.; Pastrana, Freddie A.; Cavell, Timothy A.; Gomez, Debbie

2014-01-01

Integrated behavioral health care (IBHC) is a model of mental health care service delivery that seeks to reduce stigma and service utilization barriers by embedding mental health professionals into the primary care team. This study explored whether IBHC service referrals, utilization, and outcomes were comparable for Latinos and non-Latino White primary care patients. Data for the current study were collected from 793 consecutive patients (63.8% Latino; M age = 29.02 years [SD = 17.96]; 35.1% under 18 years; 65.3% women; 54.3% uninsured) seen for behavioral health services in 2 primary care clinics during a 10.5 month period. The most common presenting concerns were depression (21.6%), anxiety (18.5%), adjustment disorder (13.0%), and externalizing behavior problems (9.8%). Results revealed that while Latino patients had significantly lower self-reported psychiatric distress, significantly higher clinician-assigned global assessment of functioning scores, and fewer received a psychiatric diagnosis at their initial visit compared to non-Latino White patients, both groups had comparable utilization rates, comparable and clinically significant improvements in symptoms (Cohen’s d values > .50), and expressed high satisfaction with integrated behavioral services. These data provide preliminary evidence suggesting integration of behavioral health services into primary care clinics may help reduce mental health disparities for Latinos. PMID:25309845

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

Science.gov (United States)

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

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

Piloting an Online Module for Interprofessional Education to Introduce First-Year Students to Health Behavior Change

Directory of Open Access Journals (Sweden)

Michael Peeters

2018-03-01

Full Text Available Objective: To meet the needs of patients with behavioral health problems, health professional students require training in helping patients contemplate and move towards behavior change. Motivational Interviewing (MI is one such intervention. This novel online training module was developed for groups of interprofessional education (IPE students. Design: Thirty-eight first-year health-professions students were trained using an online introduction to MI. This was followed by cases with questions where students were asked to provide MI consistent responses. Case participation was done through an online discussion board, where all students could respond to case questions, and to their peers. The discussion board was monitored by a faculty member skilled in the practice of MI and another skilled in interprofessional education/development. Conclusions: Students reported the course to be valuable and an acceptable way to begin learning new communication skills, and about other health-professions. Students’ self-rating of empathy and understanding of patients who do not readily commit to behavior change improved significantly from pre-module to post-module. This online MI module for IPE appeared to be a success. Conflict of Interest None to report Treatment of Human Subjects: IRB review/approval required and obtained   Type: Note

Oral health behavior of parents as a predictor of oral health status of their children.

Science.gov (United States)

Bozorgmehr, Elham; Hajizamani, Abolghasem; Malek Mohammadi, Tayebeh

2013-01-01

Introduction. It is widely acknowledged that the behavior of parents affects their children's health. This study aimed to evaluate the relationship between oral health behavior of parents and oral health status and behavior of their children in a sample of preschool children in Iran. Method and Material. A random sample of over-five-year-old preschool children and their parents were enrolled in the study. Selection of schools was by clustering method. Parents were asked to fill a piloted questionnaire which included demographic characteristics, socioeconomic status, oral health behaviors of children and their parents. Oral health status of children was examined. The parent and their children oral health relationship were tested using regression and correlation analysis. Results. About 222 parents and children participated in the study. There was a significant relationship between history of having dental problems in parents and dmft index in their children (P = 0.01). There was a significant relationship between parental frequency of tooth brushing and child frequency of tooth brushing (P = 0.05); however, there was no significant relationship between parental frequency of dental visits and those of their children (P = 0.1). Conclusion. The study concluded that some important health behaviors in parents, such as tooth brushing habits are important determinants of these behaviors in their young children. So promoting parent knowledge and attitude could affect their children oral health behavior and status.

Associations Among Work and Family Health Climate, Health Behaviors, Work Schedule, and Body Weight.

Science.gov (United States)

Buden, Jennifer C; Dugan, Alicia G; Faghri, Pouran D; Huedo-Medina, Tania B; Namazi, Sara; Cherniack, Martin G

2017-06-01

Correctional employees exhibit elevated obesity rates. This study examines interrelations among health behaviors, health climate, body mass index (BMI), and work schedule. Using survey results from correctional supervisors (n = 157), mediation and moderated-mediation analyses were performed to examine how health behaviors explain relationships between obesity, work health climate (WHC) and family health climate (FHC), and work schedule. Over 85% of the sample was overweight/obese (mean BMI = 30.20). Higher WHC and FHC were associated with lower BMI, mediated by nutrition, and physical activity. The interaction effect between health behavior and work schedule revealed a protective effect on BMI. Overtime shift work may share a relationship with BMI. Findings may have implications for reexamining organizational policies on maximum weekly overtime in corrections. They provide direction for targeted obesity interventions that encourage a supportive FHC and promote healthy behaviors among supervisors working overtime.

Associations among Work and Family Health Climate, Health Behaviors, Work Schedule and Body Weight

Science.gov (United States)

Buden, Jennifer C.; Dugan, Alicia G.; Faghri, Pouran D.; Huedo-Medina, Tania B.; Namazi, Sara; Cherniack, Martin G.

2017-01-01

Objectives Correctional employees exhibit elevated obesity rates. This study examines interrelations among health behaviors, health climate, BMI, and work schedule. Methods Using survey results from correctional supervisors (n=157), mediation and moderated-mediation analyses were performed to examine how health behaviors explain relationships between obesity, work health climate (WHC) and family health climate (FHC), and work schedule. Results Over 85% of the sample was overweight/obese (mean BMI=30.20). Higher WHC and FHC were associated with lower BMI, mediated by nutrition and physical activity. The interaction effect between health behavior and work schedule revealed a protective effect on BMI. Overtime shiftwork may share a relationship with BMI. Conclusions Findings may have implications for reexamining organizational policies on maximum weekly overtime in corrections. They provide direction for targeted obesity interventions that encourage a supportive FHC and promote healthy behaviors among supervisors working overtime. PMID:28471768

The relationship between radon knowledge, concern and behavior, and health values, health locus of control and preventive health behaviors

International Nuclear Information System (INIS)

Kennedy, C.J.; Probart, C.K.; Dorman, S.M.

1991-01-01

Understanding similarities between health-related and radon-related knowledge, attitudes, and behaviors may suggest application of effective strategies of radon-related education in targeted populations. A mail survey was returned by 300 randomly selected homeowners in a community at risk for high home radon concentrations (50% response). While 64% were concerned, only 7% tested their homes. The expected association between radon knowledge, radon concern, and information-seeking was identified. In addition, those who tested their homes had greater knowledge and did more information seeking. Health values and radon concern were only weakly related. Environmental concern explained the greatest variance in radon concern (10%). Internal health locus of controls were more likely to have high radon concern. Of the preventive health behaviors, not smoking and seat belt use were the best predictors of variance in radon concern (5%). Segmenting the population is suggested for best educational outcome. Relating information to environmental issues may be helpful. Health-conscious people may need awareness of risks. Issues of self-control and radon testing and reduction may be helpful for some. Synergy between smoke and radon, compounded by smokers lack of concern suggests targeting smokers for education efforts

Bridge health monitoring with consideration of environmental effects

International Nuclear Information System (INIS)

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

2012-01-01

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

Bridge health monitoring with consideration of environmental effects

Energy Technology Data Exchange (ETDEWEB)

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

2012-12-15

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

Parenting practices and problem behavior across three generations: monitoring, harsh discipline, and drug use in the intergenerational transmission of externalizing behavior.

Science.gov (United States)

Bailey, Jennifer A; Hill, Karl G; Oesterle, Sabrina; Hawkins, J David

2009-09-01

Using data from grandparents (G1), parents (G2), and children (G3), this study examined continuity in parental monitoring, harsh discipline, and child externalizing behavior across generations, and the contribution of parenting practices and parental drug use to intergenerational continuity in child externalizing behavior. Structural equation and path modeling of prospective, longitudinal data from 808 G2 participants, their G1 parents, and their school-age G3 children (n = 136) showed that parental monitoring and harsh discipline demonstrated continuity from G1 to G2. Externalizing behavior demonstrated continuity from G2 to G3. Continuity in parenting practices did not explain the intergenerational continuity in externalizing behavior. Rather, G2 adolescent externalizing behavior predicted their adult substance use, which was associated with G3 externalizing behavior. A small indirect effect of G1 harsh parenting on G3 was observed. Interparental abuse and socidemographic risk were included as controls but did not explain the intergenerational transmission of externalizing behavior. Results highlight the need for preventive interventions aimed at breaking intergenerational cycles in poor parenting practices. More research is required to identify parental mechanisms influencing the continuity of externalizing behavior across generations.

Perseverative Cognition and Health Behaviors: A Systematic Review and Meta-Analysis

Directory of Open Access Journals (Sweden)

Faye Clancy

2016-11-01

Full Text Available Recent developments in stress theory have emphasized the significance of perseverative cognition (worry and rumination in furthering our understanding of stress-disease relationships. Substantial evidence has shown that perseverative cognition (PC is associated with somatic outcomes and numerous physiological concomitants have been identified (i.e., cardiovascular, autonomic and endocrine nervous system activity parameters. However, there has been no synthesis of the evidence regarding the association between PC and health behaviors. This is important given such behaviors may also directly and/or indirectly influence health and disease outcomes (triggered by PC. Therefore, the aim of the current review was to synthesise available studies that have explored the relationship between worry and rumination and health behaviors (health risk: behaviors which, if performed, would be detrimental to health; health promoting: behaviors which, if performed, would be beneficial for health. A systematic review and meta-analyses of the literature were conducted. Studies were included in the review if they reported the association between PC and health behavior. Studies identified in MEDLINE or PsycINFO (k = 7504 were screened, of which19 studies met the eligibility criteria. Random-effects meta-analyses suggested increased PC was generally associated with increased health risk behaviors but not health promoting behaviors. Further analyses indicated that increases in rumination, (r = .122, but not reflection (r = -.080, or worry, r = .048 were associated with health risk behaviors. In conclusion, these results showed that increases in PC are associated with increases in health risk behaviors (substance use, alcohol consumption, unhealthy eating and smoking that are driven primarily through rumination. These findings provide partial support for our hypothesis that in Brosschot and colleagues (2006 original perseverative cognition hypothesis, there may be scope

Covariance among multiple health risk behaviors in adolescents.

Directory of Open Access Journals (Sweden)

Kayla de la Haye

Full Text Available In a diverse group of early adolescents, this study explores the co-occurrence of a broad range of health risk behaviors: alcohol, cigarette, and marijuana use; physical inactivity; sedentary computing/gaming; and the consumption of low-nutrient energy-dense food. We tested differences in the associations of unhealthy behaviors over time, and by gender, race/ethnicity, and socioeconomic status.Participants were 8360 students from 16 middle schools in California (50% female; 52% Hispanic, 17% Asian, 16% White, and 15% Black/multiethnic/other. Behaviors were measured with surveys in Spring 2010 and Spring 2011. Confirmatory factor analysis was used to assess if an underlying factor accounted for the covariance of multiple behaviors, and composite reliability methods were used to determine the degree to which behaviors were related.The measured behaviors were explained by two moderately correlated factors: a 'substance use risk factor' and an 'unhealthy eating and sedentary factor'. Physical inactivity did not reflect the latent factors as expected. There were few differences in the associations among these behaviors over time or by demographic characteristics.Two distinct, yet related groups of health compromising behaviors were identified that could be jointly targeted in multiple health behavior change interventions among early adolescents of diverse backgrounds.

Adaptive and Online Health Monitoring System for Autonomous Aircraft

OpenAIRE

Mokhtar, Maizura; Zapatel-Bayo, Sergio Z.; Hussein, Saed; Howe, Joe M.

2012-01-01

Good situation awareness is one of the key attributes required to maintain safe flight, especially for an Unmanned Aerial System (UAS). Good situation awareness can be achieved by incorporating an Adaptive Health Monitoring System (AHMS) to the aircraft. The AHMS monitors the flight outcome or flight behaviours of the aircraft based on its external environmental conditions and the behaviour of its internal systems. The AHMS does this by associating a health value to the aircraft's behaviour b...

Predictors of health behaviors after the economic downturn: a longitudinal study.

Science.gov (United States)

Macy, Jonathan T; Chassin, Laurie; Presson, Clark C

2013-07-01

Economic declines and their associated stress, shortage of financial resources, and changes in available time can impair health behaviors. This study tested the association between change in working hours, change in employment status, and financial strain and health behaviors measured after the 2008 recession after controlling for pre-recession levels of the health behaviors. The moderating influences of demographic factors and pre-recession levels of the health behaviors on the association between change in working hours and employment status and financial strain and the health behaviors were also tested. Participants (N = 3984) were from a longitudinal study of a U.S. Midwestern community-based sample. Regression analyses tested the unique relations between change in hours worked per week, change in employment status, and financial strain and five health behaviors over and above demographic factors and pre-recession levels of the same behavior. Models included predictor by covariate interactions. Participants who reported higher levels of financial strain engaged in lower levels of all but one of the five health behaviors, but there were no significant main effects of a change in the number of hours worked per week or change in employment status. Significant interactions revealed moderation of these relations by demographic characteristics, but findings differed across health behaviors. Financial strain negatively affected engagement in multiple healthy behaviors. Promoting the maintenance of healthy behaviors for disease prevention is an important public health goal during times of economic decline. Copyright © 2013 Elsevier Ltd. All rights reserved.

Supportive Mental Health Self-Monitoring among Smartphone Users with Psychological Distress: Protocol for a Fully Mobile Randomized Controlled Trial

Directory of Open Access Journals (Sweden)

Till Beiwinkel

2017-09-01

Full Text Available Mobile health (mHealth could be widely used in the population to improve access to psychological treatment. In this paper, we describe the development of a mHealth intervention on the basis of supportive self-monitoring and describe the protocol for a randomized controlled trial to evaluate its effectiveness among smartphone users with psychological distress. Based on power analysis, a representative quota sample of N = 186 smartphone users will be recruited, with an over-sampling of persons with moderate to high distress. Over a 4-week period, the intervention will be compared to a self-monitoring without intervention group and a passive control group. Telephone interviews will be conducted at baseline, post-intervention (4 weeks, and 12-week follow-up to assess study outcomes. The primary outcome will be improvement of mental health. Secondary outcomes will include well-being, intentions toward help-seeking and help-seeking behavior, user activation, attitudes toward mental-health services, perceived stigmatization, smartphone app quality, user satisfaction, engagement, and adherence with the intervention. Additionally, data from the user’s daily life as collected during self-monitoring will be used to investigate risk and protective factors of mental health in real-world settings. Therefore, this study will allow us to demonstrate the effectiveness of a smartphone application as a widely accessible and low-cost intervention to improve mental health on a population level. It also allows to identify new assessment approaches in the field of psychiatric epidemiology.

Supportive Mental Health Self-Monitoring among Smartphone Users with Psychological Distress: Protocol for a Fully Mobile Randomized Controlled Trial

Science.gov (United States)

Beiwinkel, Till; Hey, Stefan; Bock, Olaf; Rössler, Wulf

2017-01-01

Mobile health (mHealth) could be widely used in the population to improve access to psychological treatment. In this paper, we describe the development of a mHealth intervention on the basis of supportive self-monitoring and describe the protocol for a randomized controlled trial to evaluate its effectiveness among smartphone users with psychological distress. Based on power analysis, a representative quota sample of N = 186 smartphone users will be recruited, with an over-sampling of persons with moderate to high distress. Over a 4-week period, the intervention will be compared to a self-monitoring without intervention group and a passive control group. Telephone interviews will be conducted at baseline, post-intervention (4 weeks), and 12-week follow-up to assess study outcomes. The primary outcome will be improvement of mental health. Secondary outcomes will include well-being, intentions toward help-seeking and help-seeking behavior, user activation, attitudes toward mental-health services, perceived stigmatization, smartphone app quality, user satisfaction, engagement, and adherence with the intervention. Additionally, data from the user’s daily life as collected during self-monitoring will be used to investigate risk and protective factors of mental health in real-world settings. Therefore, this study will allow us to demonstrate the effectiveness of a smartphone application as a widely accessible and low-cost intervention to improve mental health on a population level. It also allows to identify new assessment approaches in the field of psychiatric epidemiology. PMID:28983477

Supportive Mental Health Self-Monitoring among Smartphone Users with Psychological Distress: Protocol for a Fully Mobile Randomized Controlled Trial.

Science.gov (United States)

Beiwinkel, Till; Hey, Stefan; Bock, Olaf; Rössler, Wulf

2017-01-01

Mobile health (mHealth) could be widely used in the population to improve access to psychological treatment. In this paper, we describe the development of a mHealth intervention on the basis of supportive self-monitoring and describe the protocol for a randomized controlled trial to evaluate its effectiveness among smartphone users with psychological distress. Based on power analysis, a representative quota sample of N  = 186 smartphone users will be recruited, with an over-sampling of persons with moderate to high distress. Over a 4-week period, the intervention will be compared to a self-monitoring without intervention group and a passive control group. Telephone interviews will be conducted at baseline, post-intervention (4 weeks), and 12-week follow-up to assess study outcomes. The primary outcome will be improvement of mental health. Secondary outcomes will include well-being, intentions toward help-seeking and help-seeking behavior, user activation, attitudes toward mental-health services, perceived stigmatization, smartphone app quality, user satisfaction, engagement, and adherence with the intervention. Additionally, data from the user's daily life as collected during self-monitoring will be used to investigate risk and protective factors of mental health in real-world settings. Therefore, this study will allow us to demonstrate the effectiveness of a smartphone application as a widely accessible and low-cost intervention to improve mental health on a population level. It also allows to identify new assessment approaches in the field of psychiatric epidemiology.

Structural health monitoring 2012. Proceedings. Vol. 2

International Nuclear Information System (INIS)

Boller, Christian

2012-01-01

Structural Health Monitoring (SHM) is an emerging technology, dealing with the development and implementation of techniques and systems where monitoring, inspection and damage detection become an integral part of structures and thus a matter of automation. It further merges with a variety of techniques related to diagnostics and prognostics. SHM emerged from the field of smart structures and laterally encompasses disciplines such as structural dynamics, materials and structures, fatigue and fracture, non-destructive testing and evaluation, sensors and actuators, microelectronics, signal processing and much more. To be effective in the development of SHM systems, a multidisciplinary approach is therefore required. Without this global view it will be difficult for engineers to holistically manage the operation of an engineering structure through its life cycle in the future and to generate new breakthroughs in structural engineering. The second volume of the proceedings contains topics dealing with applications in the field of aeronautics, astronautic, civil engineering (bridges), energy (wind power), structural health monitoring (transportation), and poster presentations. Ten of the contributions are separately analyzed for the ENERGY database.

Frequency Selective Surface for Structural Health Monitoring

Science.gov (United States)

Norlyana Azemi, Saidatul; Mustaffa, Farzana Hazira Wan; Faizal Jamlos, Mohd; Abdullah Al-Hadi, Azremi; Soh, Ping Jack

2018-03-01

Structural health monitoring (SHM) technologies have attained attention to monitor civil structures. SHM sensor systems have been used in various civil structures such as bridges, buildings, tunnels and so on. However the previous sensor for SHM is wired and encounter with problem to cover large areas. Therefore, wireless sensor was introduced for SHM to reduce network connecting problem. Wireless sensors for Structural Health monitoring are new technology and have many advantages to overcome the drawback of conventional and wired sensor. This project proposed passive wireless SHM sensor using frequency selective surface (FSS) as an alternative to conventional sensors. The electromagnetic wave characteristic of FSS will change by geometrical changes of FSS due to mechanical strain or structural failure. The changes feature is used as a sensing function without any connecting wires. Two type of design which are circular ring and square loop along with the transmission and reflection characteristics of SHM using FSS were discussed in this project. A simulation process has shown that incident angle characteristics can be use as a data for SHM application.

Environment monitoring and residents health condition monitoring of nuclear power plant Bohunice region

International Nuclear Information System (INIS)

Letkovicova, M.; Rehak, R.; Stehlikova, B.; Celko, M.; Hraska, S.; Klocok, L.; Kostial, J.; Prikazsky, V.; Vidovic, J.; Zirko, M.; Beno, T.; Mitosinka, J.

1998-01-01

The report contents final environment evaluation and selected characteristic of residents health physics of nuclear power plant Bohunice region. Evaluated data were elaborated during analytical period 1993-1997.Task solving which results are documented in this final report was going on between 1996- 1998. The report deals in individual stages with the following: Information obtaining and completing which characterize demographic situation of the area for the 1993-1997 period; Datum obtaining and completing which contain selected health physics characteristics of the area residents; Database structures for individual data archiving from monitoring and collection; Brief description of geographic information system for graphic presentation of evaluation results based on topographic base; Digital mapping structure description; Results and evaluation of radionuclide monitoring in environment performed by Environmental radiation measurements laboratory by the nuclear power plant Bohunice for the 1993-1997 period. Demographic situation evaluation and selected health physics characteristics of the area of nuclear power plant residents for the 1993-1997 period are summarized in the final part of the document. Monitoring results and their evaluation is processed in graph, table, text description and map output forms. Map outputs are processed in the geographic information system Arc View GIS 3.0a environment

[Family cohesion associated with oral health, socioeconomic factors and health behavior].

Science.gov (United States)

Ferreira, Luale Leão; Brandão, Gustavo Antônio Martins; Garcia, Gustavo; Batista, Marília Jesus; Costa, Ludmila da Silva Tavares; Ambrosano, Gláucia Maria Bovi; Possobon, Rosana de Fátima

2013-08-01

Overall health surveys have related family cohesion to socio-economic status and behavioral factors. The scope of this study was to investigate the association between family cohesion and socio-economic, behavioral and oral health factors. This was a, cross-sectional study with two-stage cluster sampling. The random sample consisted of 524 adolescents attending public schools in the city of Piracicaba-SP. Variables were evaluated by self-applied questionnaires and caries and periodontal disease were assessed by DMF-T and CPI indices. The adolescent's perception of family cohesion was assessed using the family adaptability and cohesion scale. Univariate and multinomial logistic regression shows that adolescents with low family cohesion were more likely than those with medium family cohesion to have low income (OR 2,28 95% CI 1,14- 4,55), presence of caries (OR 2,23 95% CI 1,21-4,09), less than two daily brushings (OR 1,91 95% CI 1,03-3,54). Adolescents with high family cohesion were more likely than those with medium family cohesion to have high income and protective behavior against the habit of smoking. Thus, the data shows that adolescent perception of family cohesion was associated with behavioral, socio-economic and oral health variables, indicating the importance of an integral approach to patient health.

Health monitoring of civil structures using fiber optic sensors

International Nuclear Information System (INIS)

Varma, Veto; Kumar, Praveen; Charan, J.J.; Reddy, G.R.; Vaze, K.K.; Kushwaha, H.S.

2003-08-01

During the lifetime of the reactor, the civil structure is subjected to many operational and environmental loads. Hence it is increasingly important to monitor the conditions of the structure and insure its safety and integrity. The conventional gauges have proved to be not sufficiently catering the problem of long term health monitoring of the structure because of its many limitations. Hence it is mandatory to develop a technique for the above purpose. Present study deals with the application of Fiber optic sensors (EFPI strain Gauges) in the civil structure for its health monitoring. Various experiments were undertaken and suitability of sensors was checked. A technique to embed the optical sensor inside the concrete is successfully developed and tested. (author)

Integrating structural health and condition monitoring

DEFF Research Database (Denmark)

May, Allan; Thöns, Sebastian; McMillan, David

2015-01-01

window’ allowing for the possible detection of faults up to 6 months in advance. The SHM system model uses a reduction in the probability of failure factor to account for lower modelling uncertainties. A case study is produced that shows a reduction in operating costs and also a reduction in risk......There is a large financial incentive to minimise operations and maintenance (O&M) costs for offshore wind power by optimising the maintenance plan. The integration of condition monitoring (CM) and structural health monitoring (SHM) may help realise this. There is limited work on the integration...

Examining relationships between multiple health risk behaviors, well-being, and productivity.

Science.gov (United States)

Evers, Kerry E; Castle, Patricia H; Prochaska, James O; Prochaska, Janice M

2014-06-01

Traditionally, the concept of health promotion has emphasized the reduction of health risk behaviors to reduce disease and impairment. Well-being research expands this focus to include positive constructs such as thriving, productivity, life-evaluation, and emotional and physical health. The objective of the present study was to examine the relationships between health risk behaviors and specific measures of individual well-being. Participants (N = 790) from 49 states completed a one-time online assessment that included the Life-Evaluation Index, Emotional and Physical Health Ladders, the Health Risk Intervention Assessment, and the Work Productivity and Activity Improvement Questionnaire for General Health. Life Evaluation and physical and emotional health were all inversely related to the number of health risk behaviors, with higher well-being scores associated with lower number of risk behaviors. Across the three Life Evaluation categories (Suffering, Struggling, and Thriving) the number of health risk behaviors decreased, productivity loss decreased, and emotional and physical health increased. The results add to previous research on how reducing multiple health risk behaviors can be combined with well-being, i.e., an emphasis on increasing life-evaluation, emotional and physical health, better functioning, and productivity.

Assessment of oral health attitudes and behavior among students of Kuwait University Health Sciences Center.

Science.gov (United States)

Ali, Dena A

2016-01-01

The aims of this study were to assess attitudes and behavior of oral health maintenance among students in four faculties (Medicine, Dentistry, Pharmacy, and Allied Health) and to compare oral health attitudes and behavior of all students at Kuwait University Health Sciences Center (KUHSC) based on their academic level. Students enrolled in the Faculties of Dentistry, Medicine, Pharmacy, and Allied Health at KUHSC were evaluated regarding their oral health attitudes and behavior by an e-mail invitation with a link to the Hiroshima University Dental Behavior Inventory survey that was sent to all 1802 students with Kuwait University Health Sciences Center e-mail addresses. The data were analyzed for frequency distributions, and differences among the groups were assessed using the Mann-Whitney U test, Chi-square test, and Kruskal-Wallis test. P values less than 0.05 were considered to be statistically significant ( P < 0.05). The results of this study indicated that dental students achieved better oral health attitudes and behavior than that of their nondental professional fellow students ( P < 0.05). Students in advanced academic levels and female students demonstrated better oral health attitudes and behavior. Dental students and students who were in advanced levels of their training along with female students demonstrated better oral health practices and perceptions than students in lower academic levels and male students, respectively. Additional studies for investigating the effectiveness and identifying areas requiring modification within the dental curriculum at KUHSC may be warranted.

Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era.

Science.gov (United States)

Mavragani, Amaryllis; Sampri, Alexia; Sypsa, Karla; Tsagarakis, Konstantinos P

2018-03-12

prevalence are made available. Online behavior toward asthma can be accurately predicted, and significant correlations between online queries and reported cases exist. This method of forecasting Google queries can be used by health care officials to nowcast asthma prevalence by city, state, or nationally, subject to future availability of daily, weekly, or monthly data on reported cases. This method could therefore be used for improved monitoring and assessment of the needs surrounding the current population of patients with asthma. ©Amaryllis Mavragani, Alexia Sampri, Karla Sypsa, Konstantinos P Tsagarakis. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 12.03.2018.

An Introduction to Item Response Theory for Health Behavior Researchers

Science.gov (United States)

Warne, Russell T.; McKyer, E. J. Lisako; Smith, Matthew L.

2012-01-01

Objective: To introduce item response theory (IRT) to health behavior researchers by contrasting it with classical test theory and providing an example of IRT in health behavior. Method: Demonstrate IRT by fitting the 2PL model to substance-use survey data from the Adolescent Health Risk Behavior questionnaire (n = 1343 adolescents). Results: An…

Multi-metric model-based structural health monitoring

Science.gov (United States)

Jo, Hongki; Spencer, B. F.

2014-04-01

ABSTRACT The inspection and maintenance of bridges of all types is critical to the public safety and often critical to the economy of a region. Recent advanced sensor technologies provide accurate and easy-to-deploy means for structural health monitoring and, if the critical locations are known a priori, can be monitored by direct measurements. However, for today's complex civil infrastructure, the critical locations are numerous and often difficult to identify. This paper presents an innovative framework for structural monitoring at arbitrary locations on the structure combining computational models and limited physical sensor information. The use of multi-metric measurements is advocated to improve the accuracy of the approach. A numerical example is provided to illustrate the proposed hybrid monitoring framework, particularly focusing on fatigue life assessment of steel structures.

Personalized Health Monitoring System for Managing Well-Being in Rural Areas.

Science.gov (United States)

Nedungadi, Prema; Jayakumar, Akshay; Raman, Raghu

2017-12-14

Rural India lacks easy access to health practitioners and medical centers, depending instead on community health workers. In these areas, common ailments that are easy to manage with medicines, often lead to medical escalations and even fatalities due to lack of awareness and delayed diagnosis. The introduction of wearable health devices has made it easier to monitor health conditions and to connect doctors and patients in urban areas. However, existing initiatives have not succeeded in providing adequate health monitoring to rural and low-literate patients, as current methods are expensive, require consistent connectivity and expect literate users. Our design considerations address these concerns by providing low-cost medical devices connected to a low-cost health platform, along with personalized guidance based on patient physiological parameters in local languages, and alerts to medical practitioners in case of emergencies. This patient-centric integrated healthcare system is designed to manage the overall health of villagers with real-time health monitoring of patients, to offer guidance on preventive care, and to increase health awareness and self-monitoring at an affordable price. This personalized health monitoring system addresses the health-related needs in remote and rural areas by (1) empowering health workers in monitoring of basic health conditions for rural patients in order to prevent escalations, (2) personalized feedback regarding nutrition, exercise, diet, preventive Ayurveda care and yoga postures based on vital parameters and (3) reporting of patient data to the patient's health center with emergency alerts to doctor and patient. The system supports community health workers in the diagnostic procedure, management, and reporting of rural patients, and functions well even with only intermittent access to Internet.

Television viewing, psychological positive health, health complaints and health risk behaviors in Spanish children and adolescents.

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Padilla-Moledo, C; Castro-Piñero, J; Ortega, F B; Pulido-Martos, M; Sjöström, M; Ruiz, J R

2015-06-01

The aim of this study was to study the correlation of television viewing with positive and negative health in youth. The present cross-sectional study comprised a total of 680 children and adolescents aged 6-17.9 (46% girls) representative of the province of Cádiz (south Spain). We used the Health Behavior in School-aged Children questionnaire to assess television viewing, positive and negative health. It was found that correlations between television viewing >2 hours and several outcomes were inconsistent. No effects were found for quality of family relationships, quality of peer relationships, perceived academic performance and health risk behaviors in children, or with perceived excellent health status, excellent life satisfaction, quality of peer relationships, perceived academic performance and health risk behaviors in adolescents. However viewing >2 hours of television was correlated with lower quality family relations in adolescents, and lower perceived excellent health status, lower life satisfaction and higher health complaints index in children. Correction for multiple comparisons would render all television relationships as non-significant. Our results suggest that negative television influences on children and adolescents are minimal. However excessive television viewing may be symptomatic of other underlying mental health problems for some children.

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

Directory of Open Access Journals (Sweden)

Xuefeng Zhao

2016-01-01

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

Peer Positive Social Control and Men's Health-Promoting Behaviors.

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Houle, Janie; Meunier, Sophie; Coulombe, Simon; Mercerat, Coralie; Gaboury, Isabelle; Tremblay, Gilles; de Montigny, Francine; Cloutier, Lyne; Roy, Bernard; Auger, Nathalie; Lavoie, Brigitte

2017-09-01

Men are generally thought to be less inclined to take care of their health. To date, most studies about men's health have focused on deficits in self-care and difficulties in dealing with this sphere of their life. The present study reframes this perspective, using a salutogenic strengths-based approach and seeking to identify variables that influence men to take care of their health, rather than neglect it. This study focuses on the association between peer positive social control and men's health behaviors, while controlling for other important individual and social determinants (sociodemographic characteristics, health self-efficacy, home neighborhood, spousal positive social control, and the restrictive emotionality norm). In a mixed-method study, 669 men answered a self-reported questionnaire, and interviews were conducted with a maximum variation sample of 31 men. Quantitative results indicated that, even after controlling for sociodemographic variables and other important factors, peer positive social control was significantly associated with the six health behaviors measured in the study (health responsibility, nutrition, physical activity, interpersonal relations, stress management, and spirituality). Interview results revealed that peer positive social control influenced men's health behaviors through three different mechanisms: shared activity, being inspired, and serving as a positive role model for others. In summary, friends and coworkers could play a significant role in promoting various health behaviors among adult men in their daily life. Encouraging men to socialize and discuss health, and capitalizing on healthy men as role models appear to be effective ways to influence health behavior adoption among this specific population.

Statistical analysis of modal properties of a cable-stayed bridge through long-term structural health monitoring with wireless smart sensor networks

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Asadollahi, Parisa; Li, Jian

2016-04-01

Understanding the dynamic behavior of complex structures such as long-span bridges requires dense deployment of sensors. Traditional wired sensor systems are generally expensive and time-consuming to install due to cabling. With wireless communication and on-board computation capabilities, wireless smart sensor networks have the advantages of being low cost, easy to deploy and maintain and therefore facilitate dense instrumentation for structural health monitoring. A long-term monitoring project was recently carried out for a cable-stayed bridge in South Korea with a dense array of 113 smart sensors, which feature the world's largest wireless smart sensor network for civil structural monitoring. This paper presents a comprehensive statistical analysis of the modal properties including natural frequencies, damping ratios and mode shapes of the monitored cable-stayed bridge. Data analyzed in this paper is composed of structural vibration signals monitored during a 12-month period under ambient excitations. The correlation between environmental temperature and the modal frequencies is also investigated. The results showed the long-term statistical structural behavior of the bridge, which serves as the basis for Bayesian statistical updating for the numerical model.

Identification methods for structural health monitoring

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Papadimitriou, Costas

2016-01-01

The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated.

Stress among Graduate Students in Relation to Health Behaviors

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van Berkel, Kelly; Reeves, Brenda

2017-01-01

Problem: While stress is universal for graduate students, the difference in terms of stress symptoms and the effects on health behavior is how students cope. While numerous research studies have linked stress and negative health behaviors, few studies have objectively assessed these variables. Purpose: Utilize current health and fitness technology…

DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity

Data.gov (United States)

U.S. Department of Health & Human Services — 1991-2015. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors among youth and young...

Change in Parents’ Monitoring Knowledge: Links with Parenting, Relationship Quality, Adolescent Beliefs, and Antisocial Behavior

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Laird, Robert D.; Pettit, Gregory S.; Dodge, Kenneth A.; Bates, John E.

2003-01-01

A longitudinal prospective design was used to examine antisocial behavior, two aspects of the parent–child relationship, inept parenting, and adolescents’ beliefs in the appropriateness of monitoring as predictors of parents’ monitoring and change in monitoring during the high school years. 426 adolescents provided reports of their parents’ monitoring knowledge during four yearly assessments beginning the summer before entering grade 9. Greater concurrent levels of monitoring knowledge were a...

Localizing the HL7 Personal Health Monitoring Record for Danish Telemedicine

DEFF Research Database (Denmark)

Christensen, Henrik Bærbak

2014-01-01

Telemedicine holds a promise of lowering cost in health care and improving the life quality of chronic ill patients by allowing monitoring in the home. The Personal Health Monitoring Record (PHMR) is an international HL7 standard data format for encoding measurements made by devices in the home...

Brain Activation in Response to Personalized Behavioral and Physiological Feedback From Self-Monitoring Technology: Pilot Study.

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Whelan, Maxine E; Morgan, Paul S; Sherar, Lauren B; Kingsnorth, Andrew P; Magistro, Daniele; Esliger, Dale W

2017-11-08

The recent surge in commercially available wearable technology has allowed real-time self-monitoring of behavior (eg, physical activity) and physiology (eg, glucose levels). However, there is limited neuroimaging work (ie, functional magnetic resonance imaging [fMRI]) to identify how people's brains respond to receiving this personalized health feedback and how this impacts subsequent behavior. Identify regions of the brain activated and examine associations between activation and behavior. This was a pilot study to assess physical activity, sedentary time, and glucose levels over 14 days in 33 adults (aged 30 to 60 years). Extracted accelerometry, inclinometry, and interstitial glucose data informed the construction of personalized feedback messages (eg, average number of steps per day). These messages were subsequently presented visually to participants during fMRI. Participant physical activity levels and sedentary time were assessed again for 8 days following exposure to this personalized feedback. Independent tests identified significant activations within the prefrontal cortex in response to glucose feedback compared with behavioral feedback (Pbrain activation when compared with behavior. Participants reduced time spent sedentary at follow-up. Research on deploying behavioral and physiological feedback warrants further investigation. ©Maxine E Whelan, Paul S Morgan, Lauren B Sherar, Andrew P Kingsnorth, Daniele Magistro, Dale W Esliger. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.11.2017.

Targeting self-regulation to promote health behaviors in children.

Science.gov (United States)

Miller, Alison L; Gearhardt, Ashley N; Fredericks, Emily M; Katz, Benjamin; Shapiro, Lilly Fink; Holden, Kelsie; Kaciroti, Niko; Gonzalez, Richard; Hunter, Christine; Lumeng, Julie C

2018-02-01

Poor self-regulation (i.e., inability to harness cognitive, emotional, motivational resources to achieve goals) is hypothesized to contribute to unhealthy behaviors across the lifespan. Enhancing early self-regulation may increase positive health outcomes. Obesity is a major public health concern with early-emerging precursors related to self-regulation; it is therefore a good model for understanding self-regulation and health behavior. Preadolescence is a transition when children increase autonomy in health behaviors (e.g., eating, exercise habits), many of which involve self-regulation. This paper presents the scientific rationale for examining self-regulation mechanisms that are hypothesized to relate to health behaviors, specifically obesogenic eating, that have not been examined in children. We describe novel intervention protocols designed to enhance self-regulation skills, specifically executive functioning, emotion regulation, future-oriented thinking, and approach bias. Interventions are delivered via home visits. Assays of self-regulation and obesogenic eating behaviors using behavioral tasks and self-reports are implemented and evaluated to determine feasibility and psychometrics and to test intervention effects. Participants are low-income 9-12 year-old children who have been phenotyped for self-regulation, stress, eating behavior and adiposity through early childhood. Study goals are to examine intervention effects on self-regulation and whether change in self-regulation improves obesogenic eating. Copyright © 2017 Elsevier Ltd. All rights reserved.

Cyber Dating Abuse: Investigating Digital Monitoring Behaviors Among Adolescents From a Social Learning Perspective.

Science.gov (United States)

Van Ouytsel, Joris; Ponnet, Koen; Walrave, Michel

2017-07-01

Just as with other forms of abuse such as bullying, dating violence is no longer limited to physical spaces. Several forms of dating violence can also be perpetrated by means of technology. Few studies have used a theoretical perspective to investigate cyber dating abuse. This study addresses this gap in the literature by focusing on the perpetration of digital monitoring behaviors-a form of cyber dating abuse-from a social learning perspective. We investigate the extent to which perceived social norms about cyber dating abuse, witnessing controlling behaviors among parents, and endorsing gender stereotypes are linked with adolescents' engagement in digital monitoring behaviors. The study draws on data from 466 secondary school students (71.0% girls, n = 331) aged between 16 and 22 years ( M = 17.99 years, SD = 0.92) in Flanders, Belgium, who were in a romantic relationship. Linear regression analysis indicates that being female, being older, the perceived social norms of peers, the endorsement of gender stereotypes, and having observed intrusive controlling behaviors by the father are significantly and positively related to adolescents' perpetration of digital monitoring behaviors. The findings have implications for practice and underscore the need for prevention efforts to address and lower the influence of these perceived social norms. Further implications include the need for prevention efforts to focus on diminishing the impact of gender stereotypical attitudes and the influence of witnessing controlling behaviors within the family context on cyber dating abuse perpetration.

The Utrecht Healthy School Project: Connecting adolescent health behavior, academic achievement and Health Promoting Schools