Understanding how inequality in the distribution of income affects health

Gender differences in the relationship between income inequality and health in China: Evidence from the China Health and Nutrition Survey data

This study examines gender differences in the relationship between income inequality and health in China. Multilevel regression models were used to analyse data from the most recent five waves (2004-2015) across 12 provinces in the China Health and Nutrition Survey (CHNS). The findings remain robust when considering alternative measures of health outcomes and income inequality. Men showed greater sensitivity to income inequality in terms of adverse health outcomes. When individuals experienced the same level of changes in income inequality, men had a higher risk of reporting poor health status, higher BMI, higher systolic blood pressure, and a higher risk of smoking cigarettes and drinking alcohol than women. Despite missing data and causal inference challenges, this study highlights gender differences in the relationship between income inequality and health in China, potentially attributed to cultural gender norms. Double standards regarding weight and health-compromising behaviours based on gender roles and stereotypes are more intensive in China, particularly in areas with higher income inequality. One policy implication of this study is that reducing income inequality could enhance individual health outcomes, with a more notable impact on men's health compared to women's.

A global comparative study of wealth-pain gradients: Investigating individual- and country-level associations

Pain is a significant yet underappreciated dimension of population health. Its associations with individual- and country-level wealth are not well characterized using global data. We estimate both individual- and country-level wealth inequalities in pain in 51 countries by combining data from the World Health Organization's World Health Survey with country-level contextual data. Our research concentrates on three questions: 1) Are inequalities in pain by individual-level wealth observed in countries worldwide? 2) Does country-level wealth also relate to pain prevalence? 3) Can variations in pain reporting also be explained by country-level contextual factors, such as income inequality? Analytical steps include logistic regressions conducted for separate countries, and multilevel models with random wealth slopes and resultant predicted probabilities using a dataset that pools information across countries. Findings show individual-level wealth negatively predicts pain almost universally, but the association strength differs across countries. Country-level contextual factors do not explain away these associations. Pain is generally less prevalent in wealthier countries, but the exact nature of the association between country-level wealth and pain depends on the moderating influence of country-level income inequality, measured by the Gini index. The lower the income inequality, the more likely it is that poor countries experience the highest and rich countries the lowest prevalence of pain. In contrast, the higher the income inequality, the more nonlinear the association between country-level wealth and pain reporting such that the highest prevalence is seen in highly nonegalitarian middle-income countries. Our findings help to characterize the global distribution of pain and pain inequalities, and to identify national-level factors that shape pain inequalities.

The Work, Play, and Worship Environments as Social Determinants of Health

Consideration of the definition of the social determinants of health (SDOHs) requires health care to include work, play, and worship environments because they are important to the health of patients and communities. This article attempts to discuss the issues with limited focus on these areas and the importance of using multidisciplinary health-care teams during primary care visits. The expectation from this information is to advance the ability for primary care providers to support patients and the communities they work in to effect change toward decreasing health disparities and enhancing overall health outcomes.

Income inequality and population health: a political-economic research agenda

There is more than 30 years of research on relationships between income inequality and population health. In this article, we propose a research agenda with five recommendations for future research to refine existing knowledge and examine new questions. First, we recommend that future research prioritise analyses with broader time horizons, exploring multiple temporal aspects of the relationship. Second, we recommend expanding research on the effect of public expenditures on the inequality-health relationship. Third, we introduce a new area of inquiry focused on interactions between social mobility, income inequality and population health. Fourth, we argue the need to examine new perspectives on 21st century capitalism, specifically the population health impacts of inequality in income from capital (especially housing), in contrast to inequality in income from labour. Finally, we propose that this research broaden beyond all-cause mortality, to cause-specific mortality, avoidable mortality and subcategories thereof. We believe that such a research agenda is important for policy to respond to the changes following the COVID-19 pandemic.

Income inequality and the disease burden of COVID-19: Survival analysis of data from 74 countries

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Countries with more unequal income distribution carried a higher disease burden of COVID-19.

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COVID-19 testing intensity was positively associated with COVID-19 infection rate.

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The stringency of implemented measures against the pandemic was positively associated with COVID-19 mortality rate.

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Addressing income inequalities should be integrated into national strategies against COVID-19.

The COVID-19 pandemic presents a rare opportunity to assess national performance in responding to a historic crisis. It is not well understood how income inequality might be related to differential disease burden of COVID-19 across countries. Using recent data merged from Our World in Data 2020, the World Bank, and the Global Burden of Disease, we examined the association between income inequality (the Gini index) and COVID-19 infection and death rates among 74 countries with available data. After adjusting for differences in population size, age structure, longevity, population density, GDP per capita, health care expenditures, educational attainment, direct democracy index, stringency of implemented measures, and testing intensity for COVID-19, results from Cox Proportional Hazards regressions revealed that countries with more unequal income distribution carried a higher burden of COVID-19 infections and deaths in 2020. On average, each percentage point increase in the Gini index was associated with an 9% increase in the hazard of having a higher COVID-19 infection rate in the sample (AOR = 1.09, 95% CI 1.01, 1.18). The corresponding associated increase in the hazard of having a higher COVID-19 death rate was 14% (AOR = 1.14, 95% CI 1.06, 1.23). Countries with severe and persistent income inequality should develop national strategies to address this challenge to be better prepared for future pandemics.

Economic inequality in malnutrition: a global systematic review and meta-analysis

OBJECTIVE

To describe the evidence on global and regional economic inequality in malnutrition, and the associations between economic inequality and malnutrition.

METHODS

We conducted a systematic review and meta-analysis. Between 1 November 2020 and 22 January 2021, we searched Medline, Embase, Global Health, Eldis, Web of Science and EBSCO Discovery Service. We contacted 39 experts and tracked citations. We included any study reporting a concentration index (CIX) relating economic status and nutritional status and any multilevel study reporting an association between economic inequality and nutritional status. Nutritional status was measured as stunting, wasting, anaemia, or overweight in children (<5 years), or underweight, overweight or obesity, or anaemia in adults (15-49 years). We had no study date or language restriction. Quality was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS tool). We mapped estimates and pooled them using multilevel random-effects meta-analyses.

RESULTS

From 6185 results, 91 studies provided 426 CIX (>2.9 million people) and 47 associations (~3.9 million people). Stunting (CIX -0.15 (95% CI -0.19 to -0.11)) and wasting (-0.03 (95% CI -0.05 to -0.02)) are concentrated among poor households. Adult overweight and obesity is concentrated in wealthier households (0.08 (95% CI -0.00 to 0.17)), particularly in South Asia (0.26 (95% CI 0.19 to 0.34)), but not in Europe and Central Asia (-0.02 (95% CI -0.08 to 0.05)) or North America (-0.04 (95% CI -0.10 to 0.03)). We found no association between 0.1 increase in Gini coefficient and adult underweight (OR 1.03 (95% CI 0.94 to 1.12)) or overweight and obesity (0.92 (95% CI 0.80 to 1.05)).

CONCLUSIONS

There is good evidence that the prevalence of malnutrition varies by levels of absolute economic status. Undernutrition is concentrated in poor households, whereas concentration of overweight and obesity by economic status depends on region, and we lack information on economic inequalities in anaemia and child overweight. In contrast, links between malnutrition and relative economic status are less clear and should not be assumed; robust evidence on causal pathways is needed.

PROSPERO REGISTRATION NUMBER

CRD42020201572.

Investigating social capital, trust and commitment in family business: case of media firms

Purpose

The purpose of this paper is to investigate social capital's effect on family business development in selected family media firms.

Design/methodology/approach

The statistical population includes 100 individuals who run a family business in this industry. Eighty individuals are selected as the research sample through the stratified random sampling method. The data are collected using a questionnaire. The authors used structural equation modelling method for data analysis.

Findings

The results indicate that social capital affects the development of family businesses in media firms. According to the results obtained from the structural equation test, the effect of the relational dimension of social capital on trust and the effect of the cognitive and structural dimensions of social capital on trust are supported, while the effect of the relational dimension of social capital on commitment as well as the effect of the cognitive dimension of social capital on trust are not supported.

Practical implications

This research could help family firms in media industries improve trust and commitment by paying attention to different aspects of social capital. Besides, it shows that even the impact of relational and cognitive social capital, respectively, on commitment and trust, are not supported; these two could affect trust and commitment, respectively.

Originality/value

The paper is among the first studies that investigate family firms in media industries. Besides, the relationships between relational, cognitive and structural aspects of social capital and trust and commitment are rarely studied in the literature as two determinants of family business development.

Loneliness and social isolation increase cancer incidence in a cohort of Finnish middle-aged men. A longitudinal study

Globally, cancer is the second leading cause of death. Loneliness has been suggested as a risk factor for cancer mortality. However, connections between loneliness, social isolation, and cancer are poorly understood. In our longitudinal study (mean follow-up: 20.44 years) of 2570 middle-aged men, loneliness, social isolation, and health-related factors were measured at baseline. Cox proportional hazards analysis was used to examine the association between cancer incidence, loneliness, and social isolation. The effect of relationship status on cancer mortality among cancer patients was tested with the Kaplan-Meier method. Loneliness was associated with total cancer incidence after adjustments for tested lifestyle and health-related covariates. Social Isolation was associated with total cancer incidence, except when adjusted for lifestyle, diet, or Human Population Laboratory (HPL) Depression Scale scores. Loneliness was associated with lung cancer incidence, except when adjusted for HPL Depression Scale scores. There was no significant association between social isolation and lung cancer. Neither loneliness nor social isolation were connected with prostate or colorectal cancer. Being single at baseline was associated with worse survival outcomes for cancer patients. Our findings suggest that regardless of the social network size, loneliness among middle-aged men is associated with an increased likelihood of cancer.

Efeitos do isolamento social na pandemia da covid-19 na saúde mental da população

Objetivo: analisar as consequências do distanciamento social para a contenção da covid-19 na saúde mental na população. Síntese de conteúdo: revisão integrativa da literatura conduzida em janeiro de 2021 nas bases de dados eletrônicas Web of Science, Scopus eMEDLINE/PubMed. Evidenciou-se a ampliação de sentimentos relacionados à ansiedade e à depressão, à redução da qualidade do sono e às preocupações com a vida, a saúde, a morte e a família, ao passo que se observou a redução da satisfação com a vida, da felicidade e do interesse por lazer e encontros. Conclusão: as consequências do distanciamento social na pandemia da covid-19 na saúde mentaldemandam estratégias assistenciais inovadoras para o enfrentamento. Recomendam-se intervenções públicas sobre a disseminação de informações inverídicas acerca da pandemia, além do desenvolvimento de mais pesquisas sobre a temática.

Social Capital and Its Predictive Role in Quality of Life among the Elderly Referring to Health Centers in Tabriz, Iran: A Community- Based Study

Introduction: Paying attention to the quality of life (QOL) in the elderly life is an important issue, given the criticality of this period. The Objective of the present study is to determine social capital and its predictive role on QOL among elderly people living in Tabriz, East- Azerbaijan province, Iran. Methods: The present cross-sectional study was accomplished in 2018 on 522 elderly people referred to the health centers in city of Tabriz. A multi-stage random cluster sampling was implemented. The data were collected, using a demographical questionnaire, Onyx-Bullen social capital, and WHOQOL-BREF QOL questionnaires. Then, they were analyzed by SPSS software version 15 and descriptive (frequency, percentage, mean (SD) and inferential statistics (Pearson, and Multivariate linear regression) were provided. Results: The mean age of the participants was 65.7 years, 58% were women, 85.5% were married, and 37.5% were illiterate. The mean )SD (of social capital score was 71.87 (10.51) (in the range of 36-144) and for QOL, it was 64.64 (10.81) (in the range of 0-100). Social capital had positive and direct relation with QOL. Out of all the variables studied; marital status, education, economic status, health status, the absence of cardiovascular diseases (CVDs), and joint pains had significant relation with QOL. By some modifications in context factors, social capital was considered to be a predictive factor for QOL [β (95%CI): 0.28 to 0.36)]. Conclusion: For the promotion of QOL among the elderly, certain strategies must be implemented by health policy makers to enhance social capital among elderly people.

How are social determinants of health represented in German medical education?: a qualitative content analysis of key-curricular documents

OBJECTIVE

The WHO Commission on Social Determinants of Health (SDH) has called for a health workforce trained in recognising, understanding and acting on the SDH. However, little is known about how current medical education prepares graduates for this challenge. This study analyses the extent to which the German medical education incorporates content on SDH.

DESIGN

Following a published protocol, in 2018, we conducted a qualitative and quantitative content analysis of three key document groups, defining and guiding what medical schools are expected to teach and what medical students are expected to know when graduating in Germany. We developed the coding system in a mixed inductive and deductive approach based on key WHO documents.

SETTING

Medical schools and the medical education system in Germany.

RESULTS

Important gaps exist in the representation of SDH in medical education in Germany. Between 3% and 27% of the analysed document-elements made reference to SDH and only 0%-3% of those document elements made explicit references to SDH. While some aspects were covered widely (eg, topics of occupational health, early childhood development and hygiene), other topics such as health inequalities or determinants outside of the healthcare system were not or hardly represented.

CONCLUSIONS

A stronger and more explicit representation of SDH in German medical education is needed to prepare the new health workforce for current and future challenges in our globalised world and for medical schools to be socially accountable.

Relationship of economic development, family income and health status in China: The moderating role of environmental pollution perception

Based on the matched data set of the 2013 Chinese General Social Survey and the gross domestic product per capita data extracted from China Statistical Yearbook 2013, this study used hierarchical regression analysis and structural equation models to examine whether environmental pollution perception would moderate the association between economic development and health status. Results revealed that economic development had a mediating effect via family income on health status. A moderated actor effect showed higher level of pollution perception weakens the relationship between family income and health status. Our findings suggested that appropriate environmental regulations should be implemented to sustain healthy economic growth in China.

Social Capital and Sleep Quality in Individuals Who Self-Isolated for 14 Days During the Coronavirus Disease 2019 (COVID-19) Outbreak in January 2020 in China

Background

From the end of December 2019, coronavirus disease 2019 (COVID-19) began to spread in central China. Social capital is a measure of social trust, belonging, and participation. This study aimed to investigate the effects of social capital on sleep quality and the mechanisms involved in people who self-isolated at home for 14 days in January 2020 during the COVID-19 epidemic in central China.

Methods

Individuals (n=170) who self-isolated at home for 14 days in central China, completed self-reported questionnaires on the third day of isolation. Individual social capital was assessed using the Personal Social Capital Scale 16 (PSCI-16) questionnaire. Anxiety was assessed using the Self-Rating Anxiety Scale (SAS) questionnaire, stress was assessed using the Stanford Acute Stress Reaction (SASR) questionnaire, and sleep was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Path analysis was performed to evaluate the relationships between a dependent variable (social capital) and two or more independent variables, using Pearson’s correlation analysis and structural equation modeling (SEM).

Results

Low levels of social capital were associated with increased levels of anxiety and stress, but increased levels of social capital were positively associated with increased quality of sleep. Anxiety was associated with stress and reduced sleep quality, and the combination of anxiety and stress reduced the positive effects of social capital on sleep quality.

Conclusion

During a period of individual self-isolation during the COVID-19 virus epidemic in central China, increased social capital improved sleep quality by reducing anxiety and stress.

Residential area deprivation and risk of subsequent hospital admission in a British population: the EPIC-Norfolk cohort

OBJECTIVES

To investigate whether residential area deprivation index predicts subsequent admissions to hospital and time spent in hospital independently of individual social class and lifestyle factors.

DESIGN

Prospective population-based study.

SETTING

The European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) study.

PARTICIPANTS

11 214 men and 13 763 women in the general population, aged 40-79 years at recruitment (1993-1997), alive in 1999.

MAIN OUTCOME MEASURE

Total admissions to hospital and time spent in hospital during a 19-year time period (1999-2018).

RESULTS

Compared to those with residential Townsend Area Deprivation Index lower than the average for England and Wales, those with a higher than average deprivation index had a higher likelihood of spending >20 days in hospital multivariable adjusted OR 1.18 (95% CI 1.07 to 1.29) and having 7 or more admissions OR 1.11 (95% CI 1.02 to 1.22) after adjustment for age, sex, smoking status, education, social class and body mass index. Occupational social class and educational attainment modified the association between area deprivation and hospitalisation; those with manual social class and lower education level were at greater risk of hospitalisation when living in an area with higher deprivation index (p-interaction=0.025 and 0.020, respectively), while the risk for non-manual and more highly educated participants did not vary greatly by area of residence.

CONCLUSION

Residential area deprivation predicts future hospitalisations, time spent in hospital and number of admissions, independently of individual social class and education level and other behavioural factors. There are significant interactions such that residential area deprivation has greater impact in those with low education level or manual social class. Conversely, higher education level and social class mitigated the association of area deprivation with hospital usage.

Desired improvements of working conditions among medical assistants in Germany: a cross-sectional study

Background

In outpatient care in Germany, medical assistants (MAs) are the contact persons for patients' concerns and their working conditions are relevant to their own health and the provided quality of care. MAs working conditions have been described as precarious leading to high levels of work stress. Consequently, we aimed to examine MAs' needs for work-related improvements.

Methods

We surveyed 887 employed MAs between September 2016 and April 2017. A 20-item questionnaire measured desired improvements. To measure correlations between variables we computed a matrix of tetrachoric correlations for binary variables and performed an exploratory factor analysis. We ran ordinal logistic regression models employing 11 independent variables to examine determinants of needs.

Results

A total of 97.3% of the participants expressed any need and, on average, 10.27 needs were reported. Most frequently, needs were expressed related to a higher salary (87.0%), less documentation (76.0%) and more recognition from society (75.4%). Exploratory factor analysis suggested three dimensions of needs for work-related improvements (i.e. working conditions, reward from the supervisor and task-related independence). Ordinal logistic regression models only identified determinants for the outcome variable task-related independence, which was more frequent in those with longer work experience or in a leadership position.

Conclusions

The high prevalence of desired workplace-related improvements among MAs highlights the relevance of modifying their working conditions. The fact that we found only few determinants signals that there are no specific high-risk subgroups, but interventions to improve MAs' working conditions should target the entire MA population.

The health equity measurement framework: a comprehensive model to measure social inequities in health

BACKGROUND

Despite the wealth of frameworks on social determinants of health (SDOH), two current limitations include the relative superficial description of factors affecting health and a lack of focus on measuring health equity. The Health Equity Measurement Framework (HEMF) addresses these gaps by providing a more encompassing view of the multitude of SDOH and drivers of health service utilisation and by guiding quantitative analysis for public health surveillance and policy development. The objective of this paper is to present the HEMF, which was specifically designed to measure the direct and indirect effects of SDOH to support improved statistical modelling and measurement of health equity.

METHODS

Based on a framework synthesis, the HEMF development involved initially integrating theoretical components from existing SDOH and health system utilisation frameworks. To further develop the framework, relevant publications on SDOH and health equity were identified through a literature review in major electronic databases. White and grey literatures were critically reviewed to identify strengths and gaps in the existing frameworks in order to inform the development of a unique health equity measurement framework. Finally, over a two-year period of consultation, scholars, health practitioners, and local policy influencers from municipal and provincial governments provided critical feedback on the framework regarding its components and causal relationships.

RESULTS

This unified framework includes the socioeconomic, cultural, and political context, health policy context, social stratification, social location, material and social circumstances, environment, biological factors, health-related behaviours and beliefs, stress, quality of care, and healthcare utilisation. Alongside the HEMF's self-exploratory diagram showing the causal pathways in-depth, a number of examples are provided to illustrate the framework's usefulness in measuring and monitoring health equity as well as informing policy-making.

CONCLUSIONS

The HEMF highlights intervention areas to be influenced by strategic public policy for any organisation whose purview has an effect on health, including helping non-health sectors (such as education and labour) to better understand how their policies influence population health and perceive their role in health equity promotion. The HEMF recognises the complexity surrounding the SDOH and provides a clear, overarching direction for empirical work on health equity.

Neighborhood Income and Cesarean Section Rates at a Tertiary Care Center in Canada

Background: With rising rates of cesarean sections (CSs) in Canada and worldwide, nonclinical factors for CS warrant consideration. Objective: To determine the association between a primigravid woman's neighborhood income and rates of CSs. Materials and Methods: A retrospective cohort study was conducted at an Ontario tertiary care center from January 2003 to December 2013. Rates of CSs were determined using data collected from the Discharge Abstract Database. Women with singleton live births were included. The main exposure variable was the neighborhood income quintile. A multivariable model was used to adjust for covariates and provide an estimate of the independent effect of neighborhood income on the CS rate. Results: The study cohort comprised 32,714 women. Compared with the lowest quintile, women in the highest quintile had increased rates of CSs (relative risk, RR 1.06, 95% confidence interval, CI [1.02-1.11]). Following adjustment for important confounders, there was no longer an association between the neighborhood income and CS rate (adjusted RR 1.00, 95% CI [0.99-1.01]). Women in the highest quintile were more likely to have greater maternal age (p < 0.01). Conclusions: Although differences in CS rates are seen by the neighborhood income quintile, they appear to be mediated through a combination of maternal age and other clinical factors. Neighborhood income does not appear to be an independent predictor of CS.

Post Your Journey: Instagram as a Support Community for People With Fibromyalgia

Fibromyalgia is a chronic illness with primary symptoms of widespread pain and fatigue. Social media applications have become a recent resource allowing individuals with fibromyalgia to interact in a virtual community devoted to the illness. This study explores how such a community develops and maintains itself on Instagram and the ways it creates social capital for its users. Data are derived from Instagram posts and open-ended questionnaires completed by users living with fibromyalgia who use the application. Using content analysis and semiotic methodology, the study analyzes the diverse ways in which users shared their experiences with fibromyalgia, the management of its symptoms, and issues encountered in accessing health care systems. Instagram aids in the development of a community by facilitating intimate and supportive interactions about the illness and the creation of personalized day-to-day narratives accessible to all. Norms of trust, acceptance, and reciprocity characterize the diversity of interactions in this community.

Income Inequality and Population Health: A Global Gradient?

Cross-national empirical research about the link between income inequality and population health produces conflicting conclusions. We address these mixed findings by examining the degree to which the income inequality and health relationship varies with economic development. We estimate fixed-effects models with different measures of income inequality and population health. Results suggest that development moderates the association between inequality and two measures of population health. Our findings produce two generalizations. First, we observe a global gradient in the relationship between income inequality and population health. Second, our results are consistent with income inequality as a proximate or conditional cause of lower population health. Income inequality has a 139.7% to 374.3% more harmful effect on health in poorer than richer countries and a significantly harmful effect in 2.1% to 53.3% of countries in our sample and 6.6% to 67.6% of the world's population but no significantly harmful effect in richer countries.

Representation of social determinants of health in German medical education: protocol of a content analysis study

INTRODUCTION

Action on the social determinants of health has been key for improving health and prolonging life in the past, and remains so today. Against this background, WHO's Commission on Social Determinants of Health has called for increased efforts to create health workforces trained in recognising, understanding and acting on the social determinants of health. However, little is known about the extent to which current medical education systems prepare graduates for this challenge. We, therefore, aim to analyse the extent to which the medical curriculum in Germany incorporates content on the social determinants of health.

METHODS AND ANALYSIS

We will conduct a qualitative and quantitative content analysis of four key document groups which influence medical education in Germany: the national medical catalogue of learning objectives; examination content outlines provided by the German Institute for Medical and Pharmaceutical Examination Questions; the online textbook most widely used for final examination preparation and the full set of questions from two national medical licensing examinations. We will analyse these documents based on a coding system, which we derived deductively from the report of WHO's Commission on Social Determinants of Health as well as other key publications of WHO. We will report quantitative indicators, such as the percentage of text related to social determinants of health for each document type. Moreover, we will conduct a semiqualitative analysis of relevant content.

ETHICS AND DISSEMINATION

This study is based on the analysis of existing documents which do not contain personal or otherwise sensitive information. Results from the study will be published in a scientific peer-reviewed journal.

The case of the middle class: Social determinants of health in Mumbai

In India, a growing middle class and rising lifestyle diseases put prevention in the spotlight. This study assesses the impact of health behaviors (tobacco use and exercise) as well as psychological states (positive emotional style, hope, and perceived stress) on the health of 314 middle class participants from Mumbai. Logistic regression predicting objective health revealed that positive emotional style was a protective factor. Linear regression predicting perceived health indicated perceived stress and positive emotional style as the significant factors. An intersectional approach focusing on psychological factors and health behaviors, nested within class and gender, will lead to effective preventive strategies.

The link between income inequality and health in Europe, adding strength dimensions of primary care to the equation

Income inequality has been clearly associated with reduced population health. A body of evidence suggests that a strong primary care system may mitigate this negative association. The aim of this study is to assess the strength of the primary care system's effect on the inverse association between income inequality and health in Europe. Health is operationalised using four cross-sectional outcomes: self-rated health, life expectancy, mental well-being, and infant mortality. Strength of the primary care system is measured using the framework of the Primary Health Care Activity Monitor Europe, and income inequality by the Gini coefficient. Multiple regression models with interaction terms were used. The results confirm that especially the structure and continuity dimension of primary care strength can buffer the inverse association between income inequality and health. European policymakers should therefore focus on strengthening primary care systems in order to reduce inequity in health.

Physical Social Capital and Psychosocial Social Capital as Mediators Between Socio-economic Inequality and Expressions of Well-being and Health in Israeli Kibbutz Populations

A large number of studies show that degree of socio-economic inequality ‘within’ a social entity negatively determines levels of well-being and life expectancy, and is positively associated with morbidity and mortality. This relationship holds over and above the impact of average income level. This initially suggested model put forward a causal flow with mediating variables of ‘relative deprivation’ and followed it up with the expressions of ‘social capital’ in the social psychological sense. This article tests, besides these, the role of an additional (relatively little referred to) mediating set of variables between economic inequality and measures of well-being and health, namely levels of physical investments by society (physical social capital [PHSC]) for fulfilling its individual members’ needs. It is proposed that the higher the level of inequality, the lower would be a society’s investments in PHSC (such as in education, health services, job creation, ecology conservation, public transportation and the like) that contribute to health, well-being and survival. The proposition is tested out in two kinds of kibbutz communities: one, ‘traditional’ with strong adherence to social and economic equality among members; and another, ‘transformed’ kibbutzim, where salaries are differential and are based on position or occupation. The two groups of kibbutzim were roughly equated on size, years since settlement, political belonging, economic standing and geographical location. Findings show that the degree of inequality is associated with the level of both psychosocial social capital and PHSC, which in turn contribute independently and cumulatively to levels of peoples’ health and well-being. Transformed kibbutzim are seen as an expression of neoliberal ideology results in the negative effects on health and well-being of individuals and their communities.

Looking through a different lens: Examining the inequality-mortality association in U.S. counties using spatial panel models

Two areas still need further examination in the ecological study of inequality and mortality. First, the evidence for the relationship between income inequality and mortality remains inconclusive, particularly when the analytic unit is small (e.g., county in the U.S.). Second, most previous studies are cross-sectional and are unable to address the recent diverging patterns whereby mortality has decreased and income inequality increased. This study aims to contribute to both topic areas by studying the relationship between inequality and mortality via a spatiotemporal approach that simultaneously considers the spatial structure and the temporal trends of inequality and mortality using county panel data between 1990 and 2010 for the conterminous U.S. Using both spatial panel random effect model and spatial panel fixed effect models, we found that (a) income inequality was not a significant factor for mortality after taking into account the spatiotemporal structure and the most salient factors for mortality (e.g., socioeconomic status); (b) the spatial panel fixed effect model indicated that income inequality was negatively associated with mortality over the time, a relationship mirroring the diverging patterns; and (c) the significant spatial and temporal fixed effects suggested that both dimensions are critical factors in understanding the inequality-mortality relationship in the U.S. Our findings extend support to the argument that income inequality does not affect mortality and suggest that the cross-sectional findings may be a consequence of ignoring the temporal trends.

Factors contributing to the psychological well-being for Hong Kong Chinese children from low-income families: a qualitative study

BACKGROUND

Despite compelling evidence demonstrating the negative impact of poverty and income disparity on children's psychological well-being, there has been a lack of qualitative information which addresses its contributing factors. This study aimed to shed light on this area by comparing the experiences toward daily life between children living in low- and high-income families.

METHODS

A qualitative study using a phenomenological approach was conducted from May 2012 to January 2013. A random sample of 42 children aged 10-13, with 25 from low- and 17 from high-income families were asked to voluntarily response to a demographic sheet and undergo individual semi-structured interviews which lasted about 25-30 min. Content analysis was used to analyze the data. Approval for the study was obtained from the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (reference UW 12-237).

RESULTS

The findings of this study revealed that the living environment, physical health, social life and ability to function at school of children from low-income families are severely impaired.

CONCLUSIONS

It fills a gap in the literature by showing how poverty and income disparity affect the daily lives of children from low-income families on different levels. Also, adopting a sedentary lifestyle and unhealthy eating habits are possible factors mediating the effects of poverty and income disparity on the psychological well-being of children from low-income families. It is vital for healthcare professionals going beyond their normal roles to give advice on healthy lifestyles and behaviors by building multidisciplinary partnerships with schools and the community. Additionally, healthcare professionals should also target on these two possible factors to develop and implement appropriate interventions for promoting the psychological well-being among children living in poverty. Trial registration NCT02877719. 19 August 2016 retrospectively registered.

Countervailing effects of income, air pollution, smoking, and obesity on aging and life expectancy: population-based study of U.S. Counties

BACKGROUND

Income, air pollution, obesity, and smoking are primary factors associated with human health and longevity in population-based studies. These four factors may have countervailing impacts on longevity. This analysis investigates longevity trade-offs between air pollution and income, and explores how relative effects of income and air pollution on human longevity are potentially influenced by accounting for smoking and obesity.

METHODS

County-level data from 2,996 U.S. counties were analyzed in a cross-sectional analysis to investigate relationships between longevity and the four factors of interest: air pollution (mean 1999-2008 PM2.5), median income, smoking, and obesity. Two longevity measures were used: life expectancy (LE) and an exceptional aging (EA) index. Linear regression, generalized additive regression models, and bivariate thin-plate smoothing splines were used to estimate the benefits of living in counties with higher incomes or lower PM2.5. Models were estimated with and without controls for smoking, obesity, and other factors.

RESULTS

Models which account for smoking and obesity result in substantially smaller estimates of the effects of income and pollution on longevity. Linear regression models without these two variables estimate that a $1,000 increase in median income (1 μg/m(3) decrease in PM2.5) corresponds to a 27.39 (33.68) increase in EA and a 0.14 (0.12) increase in LE, whereas models that control for smoking and obesity estimate only a 12.32 (20.22) increase in EA and a 0.07 (0.05) increase in LE. Nonlinear models and thin-plate smoothing splines also illustrate that, at higher levels of income, the relative benefits of the income-pollution tradeoff changed-the benefit of higher incomes diminished relative to the benefit of lower air pollution exposure.

CONCLUSIONS

Higher incomes and lower levels of air pollution both correspond with increased human longevity. Adjusting for smoking and obesity reduces estimates of the benefits of higher income and lower air pollution exposure. This adjustment also alters the tradeoff between income and pollution: increases in income become less beneficial relative to a fixed reduction in air pollution-especially at higher levels of income.

Theoretical basis and explanation for the relationship between area-level social inequalities and population oral health outcomes - A scoping review

This study was conducted to review the evidence on the association between area-level social inequalities and population oral health according to type and extent of social theories. A scoping review was conducted of studies, which assessed the association between area-level social inequality measures, and population oral health outcomes including self-rated oral health, number of teeth, dental caries, periodontal disease, tooth loss, oral health-related quality of life (OHRQoL) and dental pain. A search strategy was applied to identify evidence on PubMed, MEDLINE (Ovid), EMBASE, Web of Science, ERIC, Sociological Abstracts, Social Services Abstracts, references of selected studies, and further grey literature. A qualitative content analysis of the selected studies was conducted to identify theories and categorize studies according to their theoretical basis. A total of 2892 studies were identified with 16 included in the review. Seven types of social theories were used on 48 occasions within the selected studies including: psychosocial (n=13), behavioural (n=10), neo-material (n=10), social capital (n=6), social cohesion (n=4), material (n=3) and social support (n=2). Of the selected studies, four explicitly tested social theories as pathways from inequalities to population oral health outcomes, three used a theoretical construct, seven used theories for post-hoc explanation and two did not have any use of theory. In conclusion, psychosocial theories were used most frequently. Although theories were often mentioned, majority of these studies did not test a social theory.

Economic Inequalities in Latin America at the Base of Adverse Health Indicators

There is increasing evidence supporting the existence of a link between income inequalities and health outcomes. The main purpose of this article is to test whether economic inequalities are associated with poor population health in Latin American countries. Multi-country data from 1970 to 2012 were used to assess this question. The results show that the Gini coefficient has a strong correlation with health outcomes. Moreover, multiple linear regression analysis using fixed effects shows that after controlling for gross national income per capita, literacy rate, and health expenditure, the Gini coefficient is independently negatively associated with health outcomes. In Latin American countries, for every percentage point increase in the Gini coefficient, the infant mortality rate grows by 0.467 deaths per 1,000 live births, holding all other variables constant. Additionally, an ordinary least squares estimation model suggests that countries that do not use International Monetary Fund loans perform better on health outcomes. These findings should alert policymakers, elected officials, and the public of the need to fight income inequalities and rethink the role of international financial institutions that dictate state policies.

The relationship between relative deprivation and self-rated health among Palestinian women in refugee camps in Lebanon

Background

Relative deprivation (RD) has been advanced as a theory to explain the relationship between income inequality and health in high-income countries. In this study, we tested the theory in a low-income protracted refugee setting in a middle-income country.

Methods

Using data from the 2010 Socioeconomic Survey of Palestine Refugees in Lebanon, we examined the relationship between RD and health among a representative sample of Palestinian refugee women (N=1047). Data were gathered utilizing a household questionnaire with information on socio-demographics and an individual-level questionnaire with information on the health of each respondent. We examined self-rated health (SRH) as the main health measure but also checked the sensitivity of our results using self-reported chronic conditions. We used two measures for absolute SES: total household monthly expenditures on non-food goods and services and total household monthly expenditures on non-health goods and services. With refugee camp as a reference group, we measured a household’s RD as a household’s rank of absolute SES within the reference group, multiplied by the distance between its absolute SES and the average absolute SES of all households ranked above it. We investigated the robustness of the RD–SRH relationship using these two alternative measures of absolute SES.

Results

Our findings show that, controlling for absolute SES and other possible confounders, women report significantly poorer health when they live in households with a higher score on our RD measure (because of either lower relative rank or lower relative SES compared to households better off in the reference group which we take to be the refugee camp). While RD is always significant as a determinant of SRH under a variety of specifications, absolute SES is not consistently significant. These findings persist when we use self-reported chronic conditions as our measure of health instead of SRH, suggesting that the relationship between health and RD may be operating through a psychosocial mechanism.

Discussion

Our findings underscore the importance of examining RD under conditions of poverty and in diverse socio-cultural contexts. They also highlight that public health approaches should be concerned with reducing social inequalities in low-income settings in addition to alleviating poverty.

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RD is an explanatory pathway in the relationship between income inequality and health.

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We investigated RD among women in Palestinian refugee camps in Lebanon.

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Women report poorer health when they live in households with a higher RD score.

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Evidence points to the importance of reducing social inequalities in deprived settings.

EPA guidance on mental health and economic crises in Europe

This European Psychiatric Association (EPA) guidance paper is a result of the Working Group on Mental Health Consequences of Economic Crises of the EPA Council of National Psychiatric Associations. Its purpose is to identify the impact on mental health in Europe of the economic downturn and the measures that may be taken to respond to it. We performed a review of the existing literature that yields 350 articles on which our conclusions and recommendations are based. Evidence-based tables and recommendations were developed through an expert consensus process. Literature dealing with the consequences of economic turmoil on the health and health behaviours of the population is heterogeneous, and the results are not completely unequivocal. However, there is a broad consensus about the deleterious consequences of economic crises on mental health, particularly on psychological well-being, depression, anxiety disorders, insomnia, alcohol abuse, and suicidal behaviour. Unemployment, indebtedness, precarious working conditions, inequalities, lack of social connectedness, and housing instability emerge as main risk factors. Men at working age could be particularly at risk, together with previous low SES or stigmatized populations. Generalized austerity measures and poor developed welfare systems trend to increase the harmful effects of economic crises on mental health. Although many articles suggest limitations of existing research and provide suggestions for future research, there is relatively little discussion of policy approaches to address the negative impact of economic crises on mental health. The few studies that addressed policy questions suggested that the development of social protection programs such as active labour programs, social support systems, protection for housing instability, and better access to mental health care, particularly at primary care level, is strongly needed.

The role of ethnic and rural discrimination in the relationship between income inequality and health in Guatemala

This article seeks to understand in the ways in which income inequality can affect children's health (z-score of stunting) in Guatemala. We postulate that there are several transmission channels through which income inequality can affect health and that the children's ethnic and rural origins influence the size and direction of this effect. The methodology employed is systems of simultaneous equations (three-stage least squares and generalized method of moments). Our results highlight the importance of rural and indigenous characteristics in the relationship between income inequality and child health and indicate that the most important transmission channels are household income levels and maternal education.

Do Local Social Hierarchies Matter for Mental Health? A Study of Neighborhood Social Status and Depressive Symptoms in Older Adults

OBJECTIVES

Despite a well-established association between relative social position and health, stratification at smaller levels of social organization has received scant attention. Neighborhood is a localized context that has increasing relevance for adults as they age, thus one's relative position within this type of mesolevel group may have an effect on mental health, independent of absolute level of social and economic resources. We examine the relationship between an older adult's relative rank within their neighborhoods on two criteria and depressive symptoms.

METHOD

Using data from the Chicago Health and Aging Project, neighborhood relative social position was ascertained for two social domains: income and social reputation (number of neighbors one knows well enough to visit). Using multilevel models, we estimated the effect of relative position within the neighborhood on depressive symptoms, net of absolute level for each domain and average neighborhood level.

RESULTS

Higher neighborhood relative rankings on both income and visiting neighbors were associated with fewer depressive symptoms. Although both were modest in effect, the gradient in depressive symptoms was three times steeper for the relative rank of visiting neighbors than for income. Men had steeper gradients than women in both domains, but no race differences were observed.

DISCUSSION

These findings suggest that an older adult's relative position in a local social hierarchy is associated with his/her mental health, net of absolute position.

Exploring the inequality-mortality relationship in the US with Bayesian spatial modeling

While there is evidence to suggest that socioeconomic inequality within places is associated with mortality rates among people living within them, the empirical connection between the two remains unsettled as potential confounders associated with racial and social structure are overlooked. This study seeks to test this relationship, to determine whether it is due to differential levels of deprivation and social capital, and does so with intrinsically conditional autoregressive Bayesian spatial modeling that effectively addresses the bias introduced by spatial dependence. We find that deprivation and social capital partly but not completely account for why inequality is positively associated with mortality and that spatial modeling generates more accurate predictions than does the traditional approach. We advance the literature by unveiling the intervening roles of social capital and deprivation in the inequality-mortality relationship and offering new evidence that inequality matters in US county mortality rates.

Income Inequality and Use of Dental Services in 66 Countries

This study explored the association between income inequality and use of dental services and the role that investment in health care plays in explaining that association. We pooled individual-level data from 223,299 adults, 18 years or older, in 66 countries, who participated in the World Health Organization (WHO) World Health Surveys with country-level data from different international sources. Income inequality was measured at the national level using the Gini coefficient, and use of dental services was defined as having received treatment to address problems with mouth and/or teeth in the past year. The association between the Gini coefficient and use of dental services was examined in multilevel models controlling for a standard set of individual- and country-level confounders. The individual and joint contributions of 4 indicators of investment in health care were evaluated in sequential modeling. The Gini coefficient and use of dental services were inversely associated after adjustment for confounders. Every 10% increase in the Gini coefficient corresponded with a 15% lower odds of using dental services (odds ratio: 0.85; 95% confidence interval: 0.70-0.99). The association between the Gini coefficient and use of dental services was attenuated and became nonsignificant after individual adjustment for total health expenditure, public expenditure on health, health system responsiveness, or type of dental health system. The 4 indicators together explained 80% of the association between the Gini coefficient and use of dental services. This study suggests that more equal countries have greater use of dental services. It also supports the mediating role of investment in health care in explaining that association.

Distinguishing the race-specific effects of income inequality and mortality in U.S. metropolitan areas

In the United States, the association between income inequality and mortality has been fairly consistent. However, few studies have explicitly examined the impact of race. Studies that have either stratified outcomes by race or conducted analyses within race-specific groups suggest that the income inequality/mortality relation may differ for blacks and whites. The factors explaining the association may also differ for the two groups. Multivariate ordinary least squares regression analysis was used to examine associations between study variables. We used three measures of income inequality to examine the association between income inequality and age-adjusted all-cause mortality among blacks and whites separately. We also examined the role of racial residential segregation and concentrated poverty in explaining associations among groups. Metropolitan areas were included if they had a population of at least 100,000 and were at least 10 percent black. There was a positive income inequality/mortality association among blacks and an inverse association among whites. Racial residential segregation completely attenuated the income inequality/mortality relationship for blacks, but was not significant among whites. Concentrated poverty was a significant predictor of mortality rates in both groups but did not confound associations. The implications of these findings and directions for future research are discussed.

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

OBJECTIVE

To explore the interrelationships between income inequality, disinvestment in health care, and use of dental services at country level.

METHODS

This study pooled national estimates for use of dental services among adults aged 18 years or older from the 70 countries that participated in the World Health Survey from 2002 to 2004, together with aggregate data on national income (GDP per capita), income inequality (Gini coefficient), and disinvestment in health care (total health expenditure and dentist-to-population ratio) from various international sources. Use of dental services was defined as having had dental problems in the last 12 months and having received any treatment to address those needs. Associations between variables were explored using Pearson correlation coefficients and linear regression.

RESULTS

Data from 63 countries representing the six WHO regions were analyzed. Use of dental services was negatively correlated with Gini coefficient (Pearson correlation coefficient -0.48, P < 0.001) and positively correlated with GDP per capita (0.40, P < 0.05), total health expenditure (0.45, P < 0.001), and dentist-to-population ratio (0.67, P < 0.001). The association between Gini coefficient and use of dental services was attenuated but remained significant after adjustments for GDP per capita, total health expenditure, and dentist-to-population ratio (regression coefficient -0.36; 95% CI -0.57, -0.15).

CONCLUSION

This study shows an inverse relationship between income inequality and use of dental services. Of the two indicators of disinvestment in health care assessed, only dentist-to-population ratio was associated with income inequality and use of dental services.

Perceived discrimination and chronic health in adults from nine ethnic subgroups in the USA

OBJECTIVE

This comparative analysis examines the association between chronic cardiovascular, respiratory and pain conditions, race, ethnicity, nativity, length of residency, and perceived discrimination among three racial and nine ethnic subgroups of Asian Americans (Vietnamese, Filipino, and Chinese), Latino-American (Cuban, Portuguese, and Mexican), and Afro-Caribbean American (Haitian, Jamaican, and Trinidadian/Tobagonian) respondents.

DESIGN

Analysis used weighted Collaborative Psychiatric Epidemiology Surveys-merged data from the National Latino and Asian American Study and the National Survey of American Life. Logistic regression analysis was conducted to determine which groups within the model were more likely to report perceived discrimination effects.

RESULTS

Afro-Caribbean subgroups were more likely to report perceived discrimination than Asian American and Latino-American subgroups were. Logistic regression revealed a significant positive association with perceived discrimination and chronic pain only for Latino-American respondents.

CONCLUSION

Significant differences in reports of perceived discrimination emerged by race and ethnicity. Caribbean respondents were more likely to report high levels of perceived discrimination; however, they showed fewer significant associations related to chronic health conditions compared to Asian Americans and Latino-Americans. Examination of perceived discrimination across ethnic subgroups reveals large variations in the relationship between chronic health and discrimination by race and ethnicity. Examining perceived discrimination by ethnicity may reveal more complex chronic health patterns masked by broader racial groupings.

Economic cycles and heart disease in Mexico

While a considerable literature has emerged regarding the relationship between the business cycles and mortality rates, relatively little is known regarding how economic fluctuations are related to morbidity. We investigate the relationship between business cycles and heart disease in Mexico using a unique state-level dataset of 512 observations consisting of real GDP and heart disease incidence rates (overall and by age group) from 1995 to 2010. Our study is one of the first to use a state-level panel approach to analyze the relationship between the business cycle and morbidity. Further, the state and year fixed effects employed in our econometric specification reduce possible omitted variable bias. We find a general procyclical, although largely statistically insignificant, contemporaneous relationship. However, an increase in GDP per capita sustained over five years is associated with considerable increases in the incidence rates of ischemic heart disease and hypertension. This procyclical relationship appears strongest in the states with the lowest levels of development and for the oldest age groups. Our results suggest that economic fluctuations may have important lagged effects on heart disease in developing countries.

Health Expenditure and Impoverishment in India

This article examines impoverishment effect of the out-of-pocket (OOP) payment for health care on households in India where only 10 per cent of the population is covered by insurance. At the national level, 10.1 per cent of rural households as against 6.2 per cent of urban households have either become poor or poorer as a consequence of OOP for health care. The proportion of rural impoverished households due to OOP health expenditure in the four most underdeveloped states of Orissa, Bihar, Uttar Pradesh and Madhya Pradesh are 11.4, 9.5, 7.9 and 7.3 per cents, respectively. The corresponding proportion of urban impoverished households for these states are 7.2, 7.5, 5.9 and 5.1 per cents, respectively. It is also found that the OOP payment tends to increase significantly with inequality in income distribution and shortage of physicians at the state level. Health system inadequacy measure by population density per physician has escalating effect on impoverishment.

Income and health in different welfare contexts: a comparison of Sweden, East and West Germany

BACKGROUND

The aim of the present study is to explore whether the association between income and self-rated health in Sweden is similar to that in Germany. Both countries represent relatively similar economic contexts, but also different welfare traditions and historic experiences. Thus, the study compares Sweden with East Germany and West Germany in order to incorporate the aftereffects of reunification in East Germany.

METHODS

The association between adjusted disposable household income and self-rated health is investigated by exploring cross-sectional survey data for the year 2000. In a sequence of logistic regression models, the risk for poor self-rated health across income quintiles is analysed, controlling for educational status and occupational position. Data sources are the Swedish Level-of-Living Survey and the German Socio-Economic Panel.

RESULTS

A relationship between income and health was observed for Sweden, East Germany and West Germany, before as well as after controlling for education and occupational position. The associations were somewhat stronger for women than for men. Similar magnitudes of income-related poor health were detected across the investigated subsamples, but patterns were distinct in the three regions. The highest estimates were not always found in groups with the lowest income position.

CONCLUSIONS

Given the variation in the results, we found neither advantages nor disadvantages that can be linked to the effectiveness of the welfare contexts under study. We could also not identify an income threshold for poor health across the investigated countries and settings. Nevertheless, the association between income and health persists, although the patterns vary across regional contexts.

Using quantile regression to examine the effects of inequality across the mortality distribution in the U.S. counties

The U.S. has experienced a resurgence of income inequality in the past decades. The evidence regarding the mortality implications of this phenomenon has been mixed. This study employs a rarely used method in mortality research, quantile regression (QR), to provide insight into the ongoing debate of whether income inequality is a determinant of mortality and to investigate the varying relationship between inequality and mortality throughout the mortality distribution. Analyzing a U.S. dataset where the five-year (1998-2002) average mortality rates were combined with other county-level covariates, we found that the association between inequality and mortality was not constant throughout the mortality distribution and the impact of inequality on mortality steadily increased until the 80th percentile. When accounting for all potential confounders, inequality was significantly and positively related to mortality; however, this inequality-mortality relationship did not hold across the mortality distribution. A series of Wald tests confirmed this varying inequality-mortality relationship, especially between the lower and upper tails. The large variation in the estimated coefficients of the Gini index suggested that inequality had the greatest influence on those counties with a mortality rate of roughly 9.95 deaths per 1000 population (80th percentile) compared to any other counties. Furthermore, our results suggest that the traditional analytic methods that focus on mean or median value of the dependent variable can be, at most, applied to a narrow 20 percent of observations. This study demonstrates the value of QR. Our findings provide some insight as to why the existing evidence for the inequality-mortality relationship is mixed and suggest that analytical issues may play a role in clarifying whether inequality is a robust determinant of population health.

INCOME INEQUALITY AND OBESITY PREVALENCE AMONG OECD COUNTRIES

Using recent pooled data from the World Health Organization Global Infobase and the World Factbook compiled by the Central Intelligence Agency of the United States, this study assesses the relation between income inequality and obesity prevalence among 31 OECD countries through a series of bivariate and multivariate linear regressions. The United States and Mexico well lead OECD countries in both obesity prevalence and income inequality. A sensitivity analysis suggests that the inclusion or exclusion of these two extreme cases can fundamentally change the findings. When the two countries are included, the results reveal a positive correlation between income inequality and obesity prevalence. This correlation is more salient among females than among males. Income inequality alone is associated with 16% and 35% of the variations in male and female obesity rates, respectively, across OECD countries in 2010. Higher levels of income inequality in the 2005–2010 period were associated with a more rapid increase in obesity prevalence from 2002 to 2010. These associations, however, virtually disappear when the US and Mexico have been excluded from the analysis. Findings from this study underscore the importance of assessing the impact of extreme cases on the relation between income inequality and health outcomes. The potential pathways from income inequality to the alarmingly high rates of obesity in the cases of the US and Mexico warrant further research.

Relative income inequality and selected health outcomes in urban Chinese youth

Self reported cross-sectional data gathered in 2002 from 12,449 middle and high school students from seven major cities in China were examined to explore the association of self-perceived relative income inequality (SPRII) with general health status, depression, stress, and cigarette smoking. Two types of self-perceived relative income were evaluated: household income relative to peers (SPRII-S) and relative to their own past (SPRII-P). SPRII-S and SPRII-P were coded as three-level categorical variables: lower, equal, and higher. As hypothesized, the youth in the "Lower" SPRII-S or SPRII-P groups reported the worst general health and the highest levels of depression and stress; the youth in the "Higher" groups reported the best general health. Unexpectedly, the youth in the "Higher" groups did not report the lowest levels of depression and stress, and the relationship between SPRII and cigarette smoking was even less straightforward. The expected positive relationship between SPRII and the general health status is consistent with previous research, but the relationships between SPRII and depression, stress, and cigarette smoking behavior are not. Further studies are needed to elucidate the complex associations between SPRII and health outcomes in rapidly transforming economies such as China.

Socioeconomic status and injury risk in children

Research has consistently shown that low socioeconomic status (SES) is associated with an increased risk of poor health and death in adults and children. Studies from around the world have shown an inverse relationship between SES and childhood injury morbidity and mortality. For example, compared with children with high SES, children with low SES are at an increased risk of death from pedestrian collisions, fires, falls and drownings, and at an increased risk of hospitalization from recreation or play injuries. Research from England and Wales shows that these disparities in mortality between high and low SES children may be widening over time. This paper provides an overview of the literature on the relationship between SES and childhood injury morbidity and mortality, outlines the postulated mechanisms for this relationship, and highlights some intervention studies targeted to low SES children.

Economic inequality and child stunting in Bangladesh and Kenya: an investigation of six hypotheses

Consistent with the increasing focus on issues of equity in developing countries, I extend the literature analyzing the relationship between economic inequality and individual health to the developing world. Using survey data from Bangladesh and Kenya with economic status measured by a wealth index and with three different geographic definitions of community, I analyze six competing hypotheses for how economic inequality may be related to stunting among children younger than 5 years old. I find little support for the predominant hypothesis that economic inequality as measured by a Gini index is an important predictor of individual health. Instead, I find that the difference between a household's wealth and the mean household wealth in the community is the measure of economic inequality that is most closely related to stunting in these countries. In particular, a 1 standard deviation increase in household wealth relative to the community mean is associated with a 30–32 percent decrease in the odds of stunting in Bangladesh and a 16–21 percent decrease in the odds of stunting in Kenya.

Do Measured and Unmeasured Family Factors Bias the Association Between Education and Self-Assessed Health?

The association between educational attainment and self-assessed health is well established but the mechanisms that explain this association are not fully understood yet. It is likely that part of the association is spurious because (genetic and non-genetic) characteristics of a person's family of origin simultaneously affect one's educational attainment and one's adult health. In order to obtain an unbiased estimate of the association between education and health, we have to control for all relevant family factors. In practice, however, it is impossible to measure all relevant family factors. Sibling models are particularly appropriate in this case, because they control for the total impact of family factors, even if not all relevant aspects can be measured. I use data on siblings from a US study (MIDUS) and Dutch study (NKPS) to assess the total family impact on self-assessed health and, more importantly, to assess whether there is a family bias in the association between educational attainment and self-assessed health. The results suggest that there is a substantial family effect; about 20% of the variation in self-assessed health between siblings can be ascribed to (measured and unmeasured) family factors. Measured family factors, such as parental education and father's occupation, could account only for a small part of the family effect. Furthermore, the results imply that it is unlikely that there is substantial bias due to family effects in the association between education and self-assessed health. This strengthens the conclusions from prior studies on the association between education and self-assessed health.