A Multilevel Analysis of Key Forms of Community- and Individual-Level Social Capital as Predictors of Self-Rated Health in the United States

Communities may be rich or poor in a variety of stocks of social capital. Studies that have investigated relations among these forms and their simultaneous and combined health effects are sparse. Using data on a sample of 24,835 adults (more than half of whom resided in core urban areas) nested within 40 U.S. communities from the Social Capital Benchmark Survey, correlational and factor analyses were applied to determine appropriate groupings among eight key social capital indicators (social trust, informal social interactions, formal group involvement, religious group involvement, giving and volunteering, diversity of friendship networks, electoral political participation, and non-electoral political participation) at each of the community and individual levels. Multilevel logistic regression models were estimated to analyze the associations between the grouped social capital forms and individual self-rated health. Adjusting the three identified community-level social capital groupings/scales for one another and community- and individual-level sociodemographic and socioeconomic characteristics, each of the odds ratios of fair/poor health associated with living in a community one standard deviation higher in the respective social capital form was modestly below one. Being high on all three (vs. none of the) scales was significantly associated with 18% lower odds of fair/poor health (odds ratio = 0.82, 95% confidence interval = 0.69–0.98). Adding individual-level social capital variables to the model attenuated two of the three community-level social capital associations, with a few of the former characteristics appearing to be moderately significantly protective of health. We further observed several significant interactions between community-level social capital and one's proximity to core urban areas, individual-level race/ethnicity, gender, and social capital. Overall, our results suggest primarily beneficial yet modest health effects of key summary forms of community social capital, and heterogeneity in some of these effects by urban context and population subgroup.     

Contextual social capital as a risk factor for poor self-rated health: a multilevel analysis

In this study, we critically examine whether contextual social capital (CSC) is associated with self-rated health, with an emphasis on the problem of confounding. We also examine different components of CSC and their association with self-rated health. Finally, we look at differences in susceptibility between different socio-demographic groups. We use the cross-sectional base line study of the Stockholm Public Health Cohort, conducted in 2002. A postal questionnaire was answered by 31,182 randomly selected citizens, 18-84 years old, in Stockholm County. We used four measures of social capital: horizontal (civic trust and participation), vertical (political trust and participation), cognitive (civic and political trust) and structural (civic and political participation). CSC was measured at parish level from aggregated individual data, and multilevel regression procedures were employed. We show a twofold greater risk of poor self-rated health in areas with very low CSC compared with areas with very high CSC. Adjustments for individual socio-demographic factors, contextual economic factors and individual social capital lowered the excess risk. Simultaneous adjustment for all three forms of confounding further weakened the association and rendered it insignificant. Cognitive and structural social capital show relatively similar associations with self-rated health, while horizontal CSC seems to be more strongly related to self-rated health than vertical CSC. In conclusion, whether there is none or a moderate association between CSC and self-rated health, depends on the extent to which individual social capital is seen as a mediator or confounder. The association with self-rated health is similar independent of the measure of CSC used. It is also similar in different socio-demographic groups.     

A multilevel analysis of social capital and self-rated health: Evidence from the British Household Panel Survey

Social capital is often described as a collective benefit engendered by generalised trust, civic participation, and mutual reciprocity. This feature of communities has been shown to associate with an assortment of health outcomes at several levels of analysis. The current study assesses the evidence for an association between area-level social capital and individual-level subjective health. Respondents participating in waves 8 (1998) and 9 (1999) of the British Household Panel Survey were identified and followed-up 5 years later in wave 13 (2003). Area social capital was measured by two aggregated survey items: social trust and civic participation. Multilevel logistic regression models were fitted to examine the association between area social capital indicators and individual poor self-rated health. Evidence for a protective association with current self-rated health was found for area social trust after controlling for individual characteristics, baseline self-rated health and individual social trust. There was no evidence for an association between area civic participation and self-rated health after adjustment. The findings of this study expand the literature on social capital and health through the use of longitudinal data and multilevel modelling techniques.     

Measuring dimensions of social capital: evidence from surveys in poor communities in Nicaragua

A dominant perspective in social capital research emphasizes a "structural" dimension of social capital, consisting of network connections, and a "cognitive" dimension, consisting of attitudes toward trust. Correspondingly, membership in organizations (i.e., membership density) and general trust in people (i.e., social trust) are two indicators commonly used to relate structural and cognitive social capital, respectively, to a variety of health and other outcomes. This study analyzed relationships between membership density, social trust and a more comprehensive set of household-level social capital indicators as well as selected civic and health behaviors in the context of Nicaragua. The sample of respondents was drawn from 6 communities and interviews were conducted with 482 heads of households, resulting in data on 2882 individuals. Factor analyses suggest that membership density loaded strongly (loading=0.81) onto an "organizational participation" factor which contained a number of qualitative characteristics of involvement, including bridging social capital. Further, this structural dimension of social capital appears to be a construct consisting of more than just informal social networks. However, factor analyses suggest that distinctions between levels of trust are warranted in Nicaragua: social trust loaded weakly (loading=0.32) onto a factor characterized by institutional trust in a factor analysis of trust items, and well below 0.30 in a factor analysis of both structural and cognitive dimensions of social capital. A nuanced understanding of these household-level indicators of structural and cognitive social capital held implications for civic and health behaviors. While membership density and institutional trust were positively related to an index of political engagement, social trust was either not related or negatively associated (among urban respondents). Similarly, social trust was associated with over 50% reduced odds of an additional childhood vaccinations whereas institutional trust was associated with increased odds (OR=1.7) of an additional vaccination. The findings highlight the complexity of social capital and the importance of exploring more comprehensive indicators.     

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 health among the aged: comparisons between the United States and Germany

Through a cross-national investigation of the United States and Germany, this study examines how individual level social capital relates to the health of the elderly. Data from two national telephone surveys conducted in Germany (N=682) and the United States (N=608) with probability samples of non-institutionalized persons aged 60 and older was used. Indicators of social capital including both norms (reciprocity and civic trust) and behaviors (participation) were tested with three self-reported health indicators-overall health, depression (CES-D) and functional limitations. Housing variables and social support were controlled for in the study. Lack of reciprocity was associated with poorer self-rated health in both countries. Civic mistrust was associated with poorer self-rated health in both countries as well as with depression and functional limitations in America. Lack of participation was, in Germany, associated with poorer self-rated health and depression. The cross-national results indicate that individual-level analysis of social capital along with marco-level determinants are important for understanding the health of the elderly.     

Social determinants of health – A question of social or economic capital? Interaction effects of socioeconomic factors on health outcomes

Social structures and socioeconomic patterns are the major determinants of population health. However, very few previous studies have simultaneously analysed the "social" and the "economic" indicators when addressing social determinants of health. We focus on the relevance of economic and social capital as health determinants by analysing various indicators. The aim of this paper was to analyse independent associations, and interactions, of lack of economic capital (economic hardships) and social capital (social participation, interpersonal and political/institutional trust) on various health outcomes. Data was derived from the 2009 Swedish National Survey of Public Health, based on a randomly selected representative sample of 23,153 men and 28,261 women aged 16-84 year, with a participation rate of 53.8%. Economic hardships were measured by a combined economic hardships measure including low household income, inability to meet expenses and lacking cash reserves. Social capital was measured by social participation, interpersonal (horizontal) trust and political (vertical/institutional trust) trust in parliament. Health outcomes included; (i) self-rated health, (i) psychological distress (GHQ-12) and (iii) musculoskeletal disorders. Results from multivariate logistic regression show that both measures of economic capital and low social capital were significantly associated with poor health status, with only a few exceptions. Significant interactive effects measured as synergy index were observed between economic hardships and all various types of social capital. The synergy indices ranged from 1.4 to 2.3. The present study adds to the evidence that both economic hardships and social capital contribute to a range of different health outcomes. Furthermore, when combined they potentiate the risk of poor health.     

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 its relationship with measures of health status: evidence from the Health Survey for England 2003

Social capital is a concept that attempts to describe the quantity and quality of social interactions in a community. This study explores the relationship between individual measures of social capital and alternative measures of health status within the context of a large national survey of population health. Using data for 13 753 adult participants in the 2003 Health Survey for England, linear regression with weighted least-squares estimation and Tobit regression with upper censoring were used to model the relationship between individual measures of social capital and EQ-5D utility scores. In addition, logistic regression was used to model the relationship between individual measures of social capital and a dichotomous self-reported health status variable. The study demonstrated that low stocks of social capital across the domains of trust and reciprocity, perceived social support and civic participation are significantly associated with poor measures of health status. The implications for health economists and, potentially, for policymakers are discussed.     

Social capital and self-rated health: a contextual analysis.

OBJECTIVES: Social capital consists of features of social organization--such as trust between citizens, norms of reciprocity, and group membership--that facilitate collective action. This article reports a contextual analysis of social capital and individual self-rated health, with adjustment for individual household income, health behaviors, and other covariates. METHODS: Self-rated health ("Is your overall health excellent, very good, good, fair, or poor?") was assessed among 167,259 individuals residing in 39 US states, sampled by the Behavioral Risk Factor Surveillance System. Social capital indicators, aggregated to the state level, were obtained from the General Social Surveys. RESULTS: Individual-level factors (e.g., low income, low education, smoking) were strongly associated with self-rated poor health. However, even after adjustment for these proximal variables, a contextual effect of low social capital on risk of self-rated poor health was found. For example, the odds ratio for fair or poor health associated with living in areas with the lowest levels of social trust was 1.41 (95% confidence interval = 1.33, 1.50) compared with living in high-trust states. CONCLUSIONS: These results extend previous findings on the health advantages stemming from social capital.     

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

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

Social support, volunteering and health around the world: cross-national evidence from 139 countries

High levels of social capital and social integration are associated with self-rated health in many developed countries. However, it is not known whether this association extends to non-western and less economically advanced countries. We examine associations between social support, volunteering, and self-rated health in 139 low-, middle- and high-income countries. Data come from the Gallup World Poll, an internationally comparable survey conducted yearly from 2005 to 2009 for those 15 and over. Volunteering was measured by self-reports of volunteering to an organization in the past month. Social support was based on self-reports of access to support from relatives and friends. We started by estimating random coefficient (multi-level) models and then used multivariate logistic regression to model health as a function of social support and volunteering, controlling for age, gender, education, marital status, and religiosity. We found statistically significant evidence of cross-national variation in the association between social capital variables and self-rated health. In the multivariate logistic model, self-rated health were significantly associated with having social support from friends and relatives and volunteering. Results from stratified analyses indicate that these associations are strikingly consistent across countries. Our results indicate that the link between social capital and health is not restricted to high-income countries but extends across many geographical regions regardless of their national-income level.     

Individual-level relationships between social capital and self-rated health in a bilingual community

BACKGROUND. Previous register studies have shown that mortality rates and disability pension statistics favor Swedish-speakers when compared to their Finnish-speaking neighbors in the same bilingual region in Finland. The purpose of the present questionnaire survey was to determine whether the Swedish-speaking community has more social capital and if the social capital is associated with health at the individual level. METHODS. The study population consisted of randomly selected samples of Finnish-speakers (N 1,000, response rate 66%) and Swedish-speakers (N 1,000, response rate 63%) representing all adults living in bilingual Ostrobothnian municipalities (75,000 Finnish-speakers and 78,000 Swedish-speakers). To inquire into social capital and health indicators, a bilingual questionnaire was composed to cover variables and indicators of sociodemography, health status, health behavior, and social capital (interpersonal trust and civic engagement). Data were analyzed with multiple logistic regression for two binary outcome variables: language group (Finnish vs Swedish) and self-rated health (good vs almost good/fair/poor/bad). RESULTS. When health-related variables (urban residence, migration, age, BMI, household income, smoking, singing in a choir, membership in any voluntary association, participation in community events, and long-term diseases) were controlled for, the Finnish-speakers were more often migrated (P = 0.0001) and mistrusting (P = 0.0001) and less active in community events (P = 0.0016) and in singing in a choir (P = 0.02) than the Swedish-speakers. After controlling for language and the above-mentioned health-related variables, the number of auxiliary (willing to help) friends (P = 0.001), mistrust (P = 0.037), and membership in any religious association (P = 0.0096) were significantly and independently associated with good self-rated health in the whole sample. CONCLUSIONS. The Swedish-speaking community seems to hold a fair quantity of social capital, which is associated with good health. Since the ecological and socioeconomic circumstances are equal for both language communities, a great deal of health inequality can be explained by differences in social capital.     

Social capital and inequality in health between single and couple parents in Sweden

AIMS: To study whether social capital is associated with health among parents and if so, whether existing inequalities in health between single and couple parents could be better understood by introducing social capital as a possible mechanism for how health is distributed. MATERIAL AND METHODS: At total of 2,500 parents with children in the age range of 4-16 years were randomized from existing national registers and asked to participate in a nationally distributed postal questionnaire; 1,589 parents participated (277 single and 1,312 couple), giving a response rate of 64%. The questionnaire contained questions regarding sociodemographic and socioeconomic characteristics, self-rated health, emotional and instrumental social support, civic and social participation, and trust. Social capital was measured by different levels of civic and social participation and trust. A multivariate analysis was used in order to find possible associations between social capital and health, when adjusted for social support, sociodemographic and socioeconomic characteristics. RESULTS: A low level of social capital (both social participation and trust), when adjusted for social support, socioeconomic and sociodemographic variables, was clearly and positively associated with less than good self-rated health. Social capital was unevenly distributed between single and couple mothers. CONCLUSIONS: Social capital is positively associated with self-rated health, at an individual level. The uneven distribution of social capital between single and couple mothers may be of some importance when trying to further understand and possibly alter the inequality in health that exists between single and couple parents.     

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.     

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...     

Does area-based social capital matter for the health of Australians? A multilevel analysis of self-rated health in Tasmania

BACKGROUND: Material circumstances and collective psychosocial processes have been invoked as potential explanations for socioeconomic inequalities in health; and, linking social capital has been proposed as a way of reconciling these apparently opposing explanations. METHODS: We conducted multilevel logistic regression of self-rated health (fair or poor vs excellent, very good, or good) on 14 495 individuals living within 41 statistical local areas who were respondents to the 1998 Tasmanian Healthy Communities Study. We modelled the effects of area-level socioeconomic disadvantage and social capital (neighbourhood integration, neighbourhood alienation, neighbourhood safety, social trust, trust in public/private institutions, and political participation), and adjusted for the effects of individual characteristics. RESULTS: Area-level socioeconomic disadvantage was associated with poor self-rated health (beta = 0.0937, P < 0.001) an effect that was attenuated, but remained significant, after adjusting for individual characteristics (beta = 0.0419, P < 0.001). Social trust was associated with a reduction in poor self-rated health (beta = -0.0501, p = 0.008) and remained significant when individual characteristics (beta = -0.0398, P = 0.005) were included. Political participation was non-significant in the unadjusted model but became significant when adjusted for individual characteristics (beta = -0.2557, P = 0.045). The effects of social trust and political participation were attenuated and became non-significant when area-level socioeconomic disadvantage was included. CONCLUSION: Area-based socioeconomic disadvantage is a determinant of self-rated health in Tasmania, but we did not find an independent effect of area-level social capital. These findings suggest that in Tasmania investments in improving the material circumstances in which people live are likely to lead to greater improvements in population health than attempts to increase area-level social capital.     

Pre-COVID-19 cognitive social capital and peri-COVID-19 depression: A prospective cohort study on the contextual moderating effect of the COVID-19 pandemic in China, 2016–2020

Social capital could protect mental health. We examined whether the COVID-19 context and province-level COVID-19 situation altered the longitudinal association between cognitive social capital (generalized trust, trust in neighbors, trust in local government officials, and reciprocity) and depression. Results from multilevel mixed-effects linear regression models showed that trust in neighbors, trust in local government officials, and reciprocity were more crucial in longitudinally reducing depression in 2020 than in 2018. Also, as compared with provinces where the COVID-19 situation was less poor, trust in local government officials in 2018 was more crucial in reducing depression in 2020 in provinces with a worse COVID-19 situation. Therefore, cognitive social capital should be taken into account for pandemic preparedness and mental health resilience.     

Does social capital enhance health and well-being? Evidence from rural China

Despite increasing acknowledgement that social capital is an important determinant of health and overall well-being, empirical evidence regarding the direction and strength of these linkages in the developing world is limited and inconclusive. This paper empirically examines relationships between social capital and health and well-being-as well as the suitability of commonly used social capital measures-in rural China, where rapid economic growth coexists with gradual and fundamental social changes. To measure social capital, we adopt a structural/cognitive distinction, whereby structural social capital is measured by organizational membership and cognitive social capital is measured by a composite index of trust, reciprocity, and mutual help. Our outcome measures included self-reported general health, psychological health, and subjective well-being. We adopt multi-level estimation methods to account for our conceptualization of social capital as both an individual- and contextual-level resource. Results indicate that cognitive social capital (i.e., trust) is positively associated with all three outcome measures at the individual level and psychological health/subjective well-being at the village level as well. We further find that trust affects health and well-being through pathways of social network and support. In contrast, there is little statistical association or consistent pattern between structural social capital (organizational membership) and the outcome variables. Furthermore, although organizational membership is highly correlated with collective action, neither is associated with health or well-being. Our results suggest that policies aimed at producing an environment that enhances social networks and facilitates the exchange of social support hold promise for improving the health and well-being of the rural Chinese population. In addition, China may not have fully taken advantage of the potential contribution of structural social capital in advancing health and well-being. A redirection of collective action from economic to social activities may be worth considering.     

Does gender modify associations between self rated health and the social and economic characteristics of local environments?

OBJECTIVES: To examine whether area level socioeconomic disadvantage and social capital have different relations with women's and men's self rated health. METHODS: The study used data from 15 112 respondents to the 1998 Tasmanian (Australia) healthy communities study (60% response rate) nested within 41 statistical local areas. Gender stratified analyses were conducted of the associations between the index of relative socioeconomic disadvantage (IRSD) and social capital (neighbourhood integration, neighbourhood alienation, neighbourhood safety, political participation, social trust, trust in institutions) and individual level self rated health using multilevel logistic regression analysis before (age only) and after adjustment for individual level confounders (marital status, indigenous status, income, education, occupation, smoking). The study also tested for interactions between gender and area level variables. RESULTS: IRSD was associated with poor self rated health for women (age adjusted p<0.001) and men (age adjusted p<0.001), however, the estimates attenuated when adjusted for individual level variables. Political participation and neighbourhood safety were protective for women's self rated health but not for men's. Interactions between gender and political participation (p = 0.010) and neighbourhood safety (p = 0.023) were significant. CONCLUSIONS: These finding suggest that women may benefit more than men from higher levels of area social capital.