Does social capital determine health? Evidence from eight transition countries

There is growing interest in the role of social relationships in explaining patterns of health. We contribute to this debate by investigating the impact of social capital on self‐reported health for eight countries from the Commonwealth of Independent States. We rely on three indicators of social capital at the individual level (trust, participation in local organisations, social isolation) and employ alternative procedures to estimate consistently the impact of social capital on health. The three social capital indicators are choice variables and are hence, by definition, endogenously determined. We attempt to circumvent the endogeneity problems by using instrumental variable estimates. Our results show that the individual degree of trust is positively and significantly correlated with health, this being true with least squares estimators as well as when relying on instrumental variable estimators with (and without) community fixed effects. Similarly, social isolation is negatively and significantly associated with health, irrespective of the procedure of estimation. On the other hand, the effect of being a member of a Putnamesque organisation is more ambiguous and usually not significantly related to health. Copyright © 2009 John Wiley & Sons, Ltd.     

The contextual effects of social capital on health: a cross-national instrumental variable analysis

Past research on the associations between area-level/contextual social capital and health has produced conflicting evidence. However, interpreting this rapidly growing literature is difficult because estimates using conventional regression are prone to major sources of bias including residual confounding and reverse causation. Instrumental variable (IV) analysis can reduce such bias. Using data on up to 167,344 adults in 64 nations in the European and World Values Surveys and applying IV and ordinary least squares (OLS) regression, we estimated the contextual effects of country-level social trust on individual self-rated health. We further explored whether these associations varied by gender and individual levels of trust. Using OLS regression, we found higher average country-level trust to be associated with better self-rated health in both women and men. Instrumental variable analysis yielded qualitatively similar results, although the estimates were more than double in size in both sexes when country population density and corruption were used as instruments. The estimated health effects of raising the percentage of a country's population that trusts others by 10 percentage points were at least as large as the estimated health effects of an individual developing trust in others. These findings were robust to alternative model specifications and instruments. Conventional regression and to a lesser extent IV analysis suggested that these associations are more salient in women and in women reporting social trust. In a large cross-national study, our findings, including those using instrumental variables, support the presence of beneficial effects of higher country-level trust on self-rated health. Previous findings for contextual social capital using traditional regression may have underestimated the true associations. Given the close linkages between self-rated health and all-cause mortality, the public health gains from raising social capital within and across countries may be large.     

The contextual effects of social capital on health: A cross-national instrumental variable analysis

Past research on the associations between area-level/contextual social capital and health has produced conflicting evidence. However, interpreting this rapidly growing literature is difficult because estimates using conventional regression are prone to major sources of bias including residual confounding and reverse causation. Instrumental variable (IV) analysis can reduce such bias. Using data on up to 167 344 adults in 64 nations in the European and World Values Surveys and applying IV and ordinary least squares (OLS) regression, we estimated the contextual effects of country-level social trust on individual self-rated health. We further explored whether these associations varied by gender and individual levels of trust. Using OLS regression, we found higher average country-level trust to be associated with better self-rated health in both women and men. Instrumental variable analysis yielded qualitatively similar results, although the estimates were more than double in size in both sexes when country population density and corruption were used as instruments. The estimated health effects of raising the percentage of a country’s population that trusts others by 10 percentage points were at least as large as the estimated health effects of an individual developing trust in others. These findings were robust to alternative model specifications and instruments. Conventional regression and to a lesser extent IV analysis suggested that these associations are more salient in women and in women reporting social trust. In a large cross-national study, our findings, including those using instrumental variables, support the presence of beneficial effects of higher country-level trust on self-rated health. Previous findings for contextual social capital using traditional regression may have underestimated the true associations. Given the close linkages between self-rated health and all-cause mortality, the public health gains from raising social capital within and across countries may be large.     

The dynamic relationships between economic status and health measures among working‐age adults in the United States

We examine the dynamic relationships between economic status and health measures using data from 8 waves of the Panel Study of Income Dynamics from 1999 to 2013. Health measures are self‐rated health (SRH) and functional limitations; economic status measures are labor income (earnings), family income, and net wealth. We use 3 different types of models: (a) ordinary least squares regression, (b) first‐difference, and (c) system‐generalized method of moment (GMM). Using ordinary least squares regression and first difference models, we find that higher levels of economic status are associated with better SRH and functional status among both men and women, although declines in income and wealth are associated with a decline in health for men only. Using system‐GMM estimators, we find evidence of a causal link from labor income to SRH and functional status for both genders. Among men only, system‐GMM results indicate that there is a causal link from net wealth to SRH and functional status. Results overall highlight the need for integrated economic and health policies, and for policies that mitigate the potential adverse health effects of short‐term changes in economic status.     

FROM SOCIAL CAPITAL TO HEALTH – AND BACK

We assess the causal relationship between health and social capital, measured by generalized trust, both at the individual and the community level. The paper contributes to the literature in two ways: it tackles the problems of endogeneity and reverse causation between social capital and health by estimating a simultaneous equation model, and it explicitly accounts for mis‐reporting in self‐reported trust. The inter‐relationship is tested using data from the first four waves of the European Social Survey for 25 European countries, supplemented by regional data from Eurostat. Our estimates show that a causal and positive relationship between self‐perceived health and social capital does exist and that it acts in both directions. In addition, the magnitude of the structural coefficients suggests that individual social capital is a strong determinant of health, whereas community level social capital plays a considerably smaller role in determining health. Copyright © 2013 John Wiley & Sons, Ltd.     

The Effectiveness of Health Screening

Using a matched insurant–general practitioner panel data set, we estimate the effect of a general health‐screening program on individuals' health status and health‐care cost. To account for selection into treatment, we use regional variation in the intensity of exposure to supply‐determined screening recommendations as an instrumental variable. We find that screening participation increases inpatient and outpatient health‐care costs up to 2 years after treatment substantially. In the medium run, we find cost savings in the outpatient sector, whereas in the long run, no statistically significant effects of screening on either health‐care cost component can be discerned. In sum, screening participation increases health‐care cost. Given that we do not find any statistically significant effect of screening participation on insurants' health status (at any point in time), we do not recommend a general health‐screening program. However, given that we find some evidence for cost‐saving potential for the sub‐sample of younger insurants, we suggest more targeted screening programs. Copyright © 2014 John Wiley & Sons, Ltd.     

Health differences between European countries

This paper examines self-reported health among individuals in 21 European countries. The purpose is to analyze how both individual- and country-level characteristics influence health. The study is based on data from the European Social Survey (ESS) conducted in 2003 and employs hierarchical modelling (N=38,472). We present three main findings: (1) individual-level characteristics, such as age, education, economic satisfaction, social network, unemployment, and occupational status are related to the health of individuals, both for women and men; (2) we tested how societal features, such as public expenditure on health, socioeconomic development, lifestyle, and social capital (social trust) were related to subjective health. Among the country-level characteristics, socioeconomic development, measured as GDP per capita (logarithm), is the indicator that is most strongly associated with better health, after controlling for individual-level characteristics; (3) the eastern European countries stand out as the countries where individuals report the poorest health. In our models, the individual-level variables explain 60% of the variance between countries, whereas 40% is explained by the macro-level variables.     

The effect of health on labour supply in nine former Soviet Union countries

This paper examines for the first time the consequences of ill health on labour supply for a sample of nine countries from the former Soviet Union (FSU), using a unique multicountry household survey specifically designed for this region. We control for a wide range of individual, household, and community factors, using both standard regression techniques and instrumental variable estimation to address potential endogeneity. Specifically, we find in our baseline ordinary least squares specification that poor health is associated with a decrease in the probability of working of about 13 %. Controlling for community-level unobserved variables slightly increases the magnitude of this effect, to about 14 %. Controlling for endogeneity with the instrumental variable approach further supports this finding, with the magnitude of the effect ranging from 12 to 35 %. Taken together, our findings confirm the cost that the still considerable adult health burden in the FSU is imposing on its population, not only in terms of the disease burden itself, but also in terms of individuals’ labour market participation, as well as potentially in terms of increased poverty risk. Other things being equal, this would increase the expected “return on investment” to be had from interventions aimed at improving health in this region.     

Racial and ethnic disparities in self‐assessed health status: Evidence from the national survey of families and households

We examined racial and ethnic disparities in global health assessment and functional limitations of daily activities among whites, blacks and Hispanics, and within the Hispanic origin among Mexicans, Puerto Ricans, Cubans, and ‘Others’. Logistic regressions were employed to estimate the log odds of reporting ‘poor health’ and ‘having functional limitations’ among 12 814 respondents from the 1987—1988 National Survey of Families and Households. Compared with whites, blacks had an increased risk of reporting poor health and functional limitations. Hispanics had even a higher risk of reporting poor health, but did not have an increased risk of reporting functional limitations. Among Hispanics, Mexicans were more likely than whites to report poor health, whereas Puerto Ricans were more likely than whites to experience functional limitations. Both race and ethnicity remain important factors in explaining the disparities in self‐assessed health status independent of socioeconomic status (SES). Meanwhile, the way self‐assessed health status varies with ethnicity is importantly stratified by SES as measured by income and education. These results suggest that future research should analyze the interplay between ethnicity and SES rather than assuming measuring either captures all the important variation.     

The impact of changes in different aspects of social capital and material conditions on self-rated health over time: A longitudinal cohort study

Individual aspects of social capital have been shown to have significant associations with health outcomes. However, research has seldom tested different elements of social capital simultaneously, whilst also adjusting for other well-known health determinants over time. This longitudinal individual-level study investigates how temporal changes in social capital, together with changes in material conditions and other health determinants affect associations with self-rated health over a six year period. We use data from the British Household Panel Survey, a randomly selected cohort which is considered representative of the United Kingdom's population, with the same individuals (N = 9303) providing responses to identical questions in 1999 and 2005. Four measures of social capital were used: interpersonal trust, social participation, civic participation and informal social networks. Material conditions were measured by total income (both individual and weighted household income), net of taxation. Other health determinants included age, gender, smoking, marital status and social class. After the baseline sample was stratified by health status, associations were examined between changes in health status and changes in all other considered variables. Simultaneous adjustment revealed that inability to trust demonstrated a significant association with deteriorating self-rated health, whereas increased levels of social participation were significantly associated with improved health status over time. Low levels of household and individual income also demonstrated significant associations with deteriorating self-rated health. In conclusion, it seems that interpersonal trust and social participation, considered valid indicators of social capital, appear to be independent predictors of self-rated health, even after adjusting for other well-known health determinants. Understandably, how trust and social participation influence health outcomes may help resolve the debate surrounding the role of social capital within the field of public health.     

Social capital and self‐rated health: A cross‐sectional study of the general social survey data comparing rural and urban adults in Ontario

The concept of social capital shows great promise for its potential to influence individual and population health. Yet challenges persist in defining and measuring social capital, and little is known about the mechanisms that link social capital and health. This paper reports on the quantitative phase of a sequential explanatory mixed methods study using data from Canada's 2013 General Social Survey (data collected 2013–14). An exploratory factor analysis revealed six underlying dimensions of social capital for 7,187 adults living in Ontario, Canada. These factors included trust in people, neighbourhood social capital, trust in institutions, sense of belonging, civic engagement, and social network size. A logistic regression indicated that having high Trust in People and Trust in Institutions were associated with better mental health while high Trust in Institutions, Sense of Belonging, and Civic Engagement were associated with better physical health. When comparing rural and urban residents, there were no differences in their self‐reported health, nor did social capital influence their health any differently, despite rural residents having higher social capital scores. The study findings are important for understanding the nature of social capital and how it influences health, and provide direction for targeted health promotion strategies.     

The flip-side of social capital: the distinctive influences of trust and mistrust on health in rural China

Despite increasing evidence that social capital is positively associated with health, the pathways that link social capital to health are not definitive and invite further investigation. This paper uses household survey data from 22 villages in China in 2002 to test the relationship between social capital and the self-reported health status of the rural population. Focusing on the cognitive dimension of social capital, this paper complements current social capital research by introducing an overlooked distinction between trust and mistrust. Trust and mistrust are measured at the individual and aggregate levels, and the distinct ways in which they affect general and mental health are explored. We adopt an ordered logistic regression using survey procedures in SAS version 9.1 to account for the stratified and clustered data structure. The results suggest that: (1) individual-level trust and mistrust are both associated with self-reported health in rural China--trust is positively associated with both general health and mental health, while mistrust is more powerfully associated with worse mental health; and (2) the effects of individual-level trust and mistrust are dependent on village context--village-level trust substitutes for individual-level trust, while individual-level mistrust interacts positively with village-level mistrust to affect health. However, an unexpected protective health effect of mistrust is found in certain types of villages, and this unique result has yet to be examined. Overall, this study suggests the conceptual difference between trust and mistrust and the differential mechanisms by which trust and mistrust affect health in rural China. It also suggests that effective policies should aim at enhancing trust collectively or reducing mistrust at the personal level to improve health status in rural areas of China.     

Self-rated health and social capital in transitional countries: Multilevel analysis of comparative surveys in Armenia, Azerbaijan, and Georgia

The objective of this study is to analyze the effect of social capital on self-rated health in transitional countries of the South Caucasus region. The study is based on recent, 2009, cross-sectional nationally-representative surveys of 2082 respondents in Armenia, 2014 in Azerbaijan, and 1837 in Georgia with response rate of 78-80%. Two-level random-coefficient ordered logistic regression, modeling individual and community variations in subjective health was estimated to account for the hierarchical structure of the data set which includes individuals nested within communities. The results allow several interesting conclusions to be drawn. First, a proportion of the total variation in self-rated health explained at the community level is 0.23 for Azerbaijan, 0.10 for Georgia, and 0.08 for Armenia. These findings highlight the importance of more decentralized community-based healthcare interventions in the region. Second, human capital covariates remained significant predictors of health status even after controlling for social capital both at individual and community levels. Likewise, social capital variables are significant predictors of health status when used alone and when they are controlled by human capital covariates. These findings suggest that human capital and social capital influence health status independently of each other. Finally, this study sheds light on whether social capital collectively benefits members of a community in transitional countries beyond the individual benefits. In Armenia and Azerbaijan, community level differences in health status are rooted in "compositional" differences between social capital of individuals in the communities rather than at the community "contextual" level. In Georgia, by contrast, the beneficial effect of social capital can be simultaneously observed at the individual "compositional", and community "contextual" levels. These findings suggest that neither "compositional" nor "contextual" models of the social capital effect of health status can apply to all transitional societies universally.     

社会资本对农村户籍老年人健康的影响与性别差异研究

[目的]了解不同类别社会资本(人际信任、社会支持、社会参与)对我国农村户籍老年人健康的影响及性别差异.[方法]基于2017-2018年中国老年健康影响因素跟踪调查(CLHLS)数据对9068名60岁以上农村户籍老年人进行分析.[结果]社会参与(正式和非正式)和人际信任对农村户籍老年人健康状况的积极影响显著,有社会参与的...     

A comparison of the grade of membership measure with alternative health indicators in explaining costs for older people

An important focus in empirical econometric studies of health care concerns estimation of the relationship with health. This paper describes a non-parametric technique, the grade of membership (GoM) procedure, which is used to construct summary indicators of health. Health status is also assessed using three alternative measures commonly employed in the literature: an index of problems of activities of daily living (ADL), an index of health conditions and overall self-rated health. Using data from a sample of frail older people, the relationship between costs and different measures of health are estimated using ordinary least squares (OLS) and instrumental variables (IV) methods. The results show that health influences costs more strongly than other variables, an effect which persists after controlling for potential endogeneity. It is shown that health can be usefully classified using GoM techniques. An alternative measure, based on an index of ADL, also performs well. Measures based on overall self-assessed health and the number of health conditions present were less satisfactory. Although health indicators derived from GoM techniques may be more theoretically attractive, in terms of capturing more fully the multidimensional nature of health, simpler alternatives such as those based on ADL indices may offer practical computational advantages.     

Does low workplace social capital have detrimental effect on workers' health?

While the majority of studies of social capital and health have focused on conceptualizing social capital at the geographic level, evidence remains sparse on workplace social capital. We examined the association between workplace social capital and health status among Japanese private sector employees in a cross-sectional study. By employing a two-stage stratified random sampling procedure, 1147 employees were identified from 46 companies in Okayama in 2007. Workplace social capital was measured based on two components; trust and reciprocity. Company-level social capital was based on aggregating employee responses and calculating the proportion of workers reporting mistrust and lack of reciprocity. Multilevel logistic regression analysis was conducted using Markov Chain Monte Carlo methods to explore whether individual- and company-level mistrust and lack of reciprocity were associated with poor self-rated health. Odds ratios (ORs) and 95% credible intervals (CIs) for poor health were obtained for each variable. Workers reporting individual-level mistrust and lack of reciprocity had approximately double the odds of poor health even after controlling for sex, age, occupation, educational attainment, smoking, alcohol use, physical activity, body mass index, and chronic diseases. While we found some suggestion of a contextual association between company-level mistrust and poor health, no association was found between company-level lack of reciprocity and health. Despite the thorough examination of cross-level interaction terms between company-level social capital and individual characteristics, no clear patterns were observed. Individual perceptions of mistrust and lack of reciprocity at work have adverse effects on self-rated health among Japanese workers. Although the present study possibly suggests the contextual effect of workplace mistrust on workers' health, the contextual effect of workplace lack of reciprocity was not supported.     

Bonding versus bridging social capital and their associations with self rated health: a multilevel analysis of 40 US communities

STUDY OBJECTIVE: Few studies have distinguished between the effects of different forms of social capital on health. This study distinguished between the health effects of summary measures tapping into the constructs of community bonding and community bridging social capital. DESIGN: A multilevel logistic regression analysis of community bonding and community bridging social capital in relation to individual self rated fair/poor health. SETTING: 40 US communities. PARTICIPANTS: Within community samples of adults (n = 24 835), surveyed by telephone in 2000-2001. MAIN RESULTS: Adjusting for community sociodemographic and socioeconomic composition and community level income and age, the odds ratio of reporting fair or poor health was lower for each 1-standard deviation (SD) higher community bonding social capital (OR = 0.86; 95% = 0.80 to 0.92) and each 1-SD higher community bridging social capital (OR = 0.95; 95% CI = 0.88 to 1.02). The addition of indicators for individual level bonding and bridging social capital and social trust slightly attenuated the associations for community bonding social capital (OR = 0.90, 95% CI = 0.84 to 0.97) and community bridging social capital (OR = 0.96, 95% CI = 0.89 to 1.03). Individual level high formal bonding social capital, trust in members of one's race/ethnicity, and generalised social trust were each significantly and inversely related to fair/poor health. Furthermore, significant cross level interactions of community social capital with individual race/ethnicity were seen, including weaker inverse associations between community bonding social capital and fair/poor health among black persons compared with white persons. CONCLUSIONS: These results suggest modest protective effects of community bonding and community bridging social capital on health. Interventions and policies that leverage community bonding and bridging social capital might serve as means of population health improvement.     

Social capital and self-rated health in Argentina

The potential link between social capital and health suggests important pathways by which health may be improved. We examine this relationship using a unique data set from Argentina. This national survey allows us to determine whether the relationships between social capital and health that have been found in the US and Europe also apply to countries in South America (Argentina is the second-largest country in South America with a population of approximately 40 million). We estimate a causal effect of individual-level social capital on health using a measure of informal social interactions as our measure of social capital. Using information about access to public transportation as instrumental variables, we find that both men and women with higher levels of social capital report better health.     

Feeding inequality: food insecurity,social status and college student health

A growing but limited body of research has identified the college student population as one that is particularly vulnerable to food insecurity. Early estimates of food insecurity prevalence among college students range from 14 to 60 per cent. The present study utilises original survey data collected from a random sample (n = 300) of college students enrolled at an urban university in the Midwest region of the United States of America (USA). This study examines the impact of food insecurity on health outcomes and the mediation of this relationship by subjective social status among college students. Ordinary least squares (OLS) and logistic regression analyses find that food insecurity is related to worse self-rated, physical and mental health among college students, and Sobel-Goodman tests find that subjective social status plays a significant mediating role in the relationship between food insecurity and health among college students. The implications of these findings in a university context are discussed using a psychosocial framework and insights from the stress process model. In doing so, I discuss food insecurity among college students with an emphasis on the social significance of food and food insecurity.