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.     

Do bonding and bridging social capital affect self-rated health,depressive mood and cognitive decline in older Japanese? A prospective cohort study

Little is known regarding the longitudinal effects of bonding and bridging social capital on health. This study examined the longitudinal associations of bonding and bridging social capital with self-rated health, depressive mood, and cognitive decline in community-dwelling older Japanese. Data analyzed in this study were from the 2010 (baseline) and 2012 (follow-up) Hatoyama Cohort Study. Bonding social capital was assessed by individual perception of homogeneity of the neighborhood (the level of homogeneity among neighbors) and of networks (the amount of homogeneous personal networks) in relation to age, gender, and socioeconomic status. Bridging social capital was assessed by individual perception of heterogeneity of networks (the amount of heterogeneous personal networks) in relation to age, gender, and socioeconomic status. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the effects of baseline social capital on poor health outcome at follow-up by logistic regression analysis. In total, 681 people completed baseline and follow-up surveys. The mean age of participants was 71.8 ± 5.1 years, and 57.9% were male. After adjusting for sociodemographics, lifestyle factors, comorbidity, functional capacity, baseline score of each outcome, and other bonding/bridging social capital, stronger perceived neighborhood homogeneity was inversely associated with poor self-rated health (OR = 0.55, 95% CI = 0.30–1.00) and depressive mood assessed by the Geriatric Depression Scale (OR = 0.58, 95% CI = 0.34–0.99). When participants who reported a depressive mood at baseline were excluded, stronger perceived heterogeneous network was inversely associated with depressive mood (OR = 0.40, 95% CI = 0.19–0.87). Neither bonding nor bridging social capital was significantly associated with cognitive decline assessed by the Mini-Mental State Examination. In conclusion, bonding and bridging social capital affect health in different ways, but they both have beneficial effects on the health of older Japanese. Our findings suggest that intervention focusing on bonding and bridging social capital may improve various health outcomes in old age.     

Social capital and self-rated health in Colombia: the good, the bad and the ugly

Although there is increasing evidence supporting the associations between social capital and health, less is known of potential effects in Latin American countries. Our objective was to examine associations of different components of social capital with self-rated health in Colombia. The study had a cross-sectional design, using data of a survey applied to a nationally representative sample of 3025 respondents, conducted in 2004-2005. Stratified random sampling was performed, based on town size, urban/rural origin, age, and sex. Examined indicators of social capital were interpersonal trust, reciprocity, associational membership, non-electoral political participation, civic activities and volunteering. Principal components analysis including different indicators of social capital distinguished three components: structural-formal (associational membership and non-electoral political participation), structural-informal (civic activities and volunteering) and cognitive (interpersonal trust and reciprocity). Multilevel analyses showed no significant variations of self-rated health at the regional level. After adjusting for sociodemographic covariates, interpersonal trust was statistically significantly associated with lower odds of poor/fair health, as well as the cognitive social capital component. Members of farmers/agricultural or gender-related groups had higher odds of poor/fair health, respectively. Excluding these groups, however, associational membership was associated with lower odds of poor/fair health. Likewise, in Colombians with educational attainment higher than high school, reciprocity was associated with lower odds of fair/poor health. Nevertheless, among rural respondents non-electoral political participation was associated with worse health. In conclusion, cognitive social capital and associational membership were related to better health, and could represent important notions for health promotion. Human rights violations related to political violence and gender based discrimination may explain adverse associations with health.     

The measurement of bridging social capital in population health research

Social capital is defined as the resources available to individuals and groups through membership in social networks. The definition is consistent with either an individualistic approach or a collective approach. Social capital can be further classified according to bonding versus bridging social capital (e.g. relationships between individuals who are homogeneous or heterogeneous with respect to social class, race/ethnicity, or other attributes). We conducted a systematic review via Pubmed, the ISI web of knowledge and OVID of the studies that examined bridging social capital in public health settings. Our results indicate lack of consistency or uniformity in the operationalization of bridging social capital. We identify some promising approaches to measurement that should be further investigated in future studies.     

A multilevel analysis of social capital and self-rated health: Evidence from China

We investigate relationship between social capital and self-rated health (SRH) in urban and rural China. Using a nationally representative data collected in 2005, we performed multilevel analyses. The social capital indicators include bonding trust, bridging trust, social participation and Chinese Communist Party membership. Results showed that only trust was beneficial for SRH in China. Bonding trust mainly promoted SRH at individual level and bridging trust mainly at county level. Moreover, the individual-level bridging trust was only positively associated with SRH of urban residents, which mirrored the urban–rural dual structure in China. We also found a cross-level interaction effect of bonding trust in urban area. In a county with high level of bonding trust, high-bonding-trust individuals obtained more health benefit than others; in a county with low level of bonding trust, the situation was the opposite.     

不同类型城市社区的特征及其社会资本对居民自评健康的影响探讨

目的 在“健康中国”背景下,面向城市居民,分析不同类型城市社区的特征及其社会资本对居民自评健康的影响,为促进社区居民健康提供参考。方法 运用分层随机抽样方法于2018年10—11月,在成都市选取农转非集中安置小区(807份)、单位宿舍(393份)、商住楼盘小区(426份)的居民进行问卷调查。运用单因素分析和多因素logistic回归分析方法探究居民自评健康的影响因素。结果 农转非社区、单位社区和商住楼盘社区的居民在性别(χ²=16.305)、年龄(χ²=33.386)、婚姻状况(χ²=22.344)、教育程度(χ²=193.373)、社保情况(χ²=14.428)、商业保险购买情况(χ²=6.234)、到医疗点的最快用时(χ²=41.344)、自评健康方面(χ²=10.439)均存在统计学差异(P<0.05);三类社区在个体(F=3.875)、家庭(F=11.329)、社区(F=21.209)、工作单位(F...     

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...     

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 and physical and mental health: testing associations consistent with proposed causal pathways

OBJECTIVES: To test associations between individual health outcomes and ecological variables proposed in causal models of relations between income inequality and health. DESIGN: Regression analysis of a large, nationally representative dataset, linked to US census and other county and state level sources of data on ecological covariates. The regressions control for individual economic and demographic covariates as well as relevant potential ecological confounders. SETTING: The US population in the year 2000. PARTICIPANTS: 4817 US adults about age 40, representative of the US population. MAIN OUTCOME MEASURES: Two outcomes were studied: self reported general health status, dichotomised as "fair" or "poor" compared with "excellent", "very good", or "good", and depression as measured by a score on the Center for Epidemiologic Studies depression instrument >16. RESULTS: State generosity was significantly associated with a reduced odds of reporting poor general health (OR 0.84, 95%CI: 0.71 to 0.99), and the county unemployment rate with reduced odds of reporting depression (OR 0.91, 95%CI: 0.84 to 0.97). The measure of income inequality is a significant risk factor for reporting poor general health (OR 1.98, CI: 1.08 to 3.62), controlling for all ecological and individual covariates. In stratified models, the index of social capital is associated with reduced odds of reporting poor general health among black people and Hispanics (OR 0.40, CI: 0.18 to 0.90), but not significant among white people. The inequality measure is significantly associated with reporting poor general health among white people (OR 2.60, CI: 1.22 to 5.56) but not black people and Hispanics. CONCLUSIONS: The effect of income inequality on health may work through the influence of invidious social comparisons (particularly among white subjects) and (among black subjects and Latinos) through a reduction in social capital. Researchers may find it fruitful to recognise the cultural specificity of any such effects.     

Childhood social and economic well-being and health in older age

Childhood socioeconomic status (SES) acts over a lifetime to influence adult health outcomes. Whether the impact of childhood SES differs by age or race/ethnicity is unclear. The authors studied 20,566 community-living US adults aged > or =50 years. Parental education was the main predictor. Outcomes evaluated (1998-2002) included self-reported health and functional limitation. The influence of childhood SES on later-life health was also examined in groups stratified by age and race/ethnicity, with adjustment for demographic factors and current SES. Participants' mean age was 67 years; 57% were women. By race/ethnicity, 76% were White, 14% were Black, and 8% were Latino. The relation between low parental education and fair/poor self-rated health declined with advancing age (age 50-64 years: adjusted odds ratio (AOR) = 1.42, 95% confidence interval (CI): 1.24, 1.63; age > or =80 years: AOR = 1.14, 95% CI: 0.96, 1.36). The relation between low parental education and fair/poor self-rated health differed across racial/ethnic groups and was significant in White (AOR = 1.33, 95% CI: 1.21, 1.47) and Black (AOR = 1.37, 95% CI: 1.14, 1.64) participants but not Latinos. These findings suggest that childhood SES affects health status through midlife but the effects may abate in late life; its effects also may be weaker in Latinos than in Whites or Blacks.     

Poor health is associated with episodic heavy alcohol use: evidence from a National Survey

OBJECTIVES: The objective of this study was to examine the relationship between self-rated health and episodic heavy drinking in a representative sample of American adults. We also sought to determine ethnic and gender differences in the association between self-rated health and episodic heavy drinking. METHODS: Data (n=4649) from the Third US National Health and Nutrition Examination Survey were utilized for this investigation. Episodic heavy drinking was defined as the consumption of five or more and four or more alcoholic beverages on one occasion for men and women, respectively. Poor health was defined as answering fair or poor to the question: "Would you say your health in general is excellent, very good, good, fair or poor?" Odds ratio from the logistic linear regression analysis was used to estimate the risk for poor health that was associated with episodic heavy drinking. Statistical adjustments were made for age, hypertension, diabetes, current smoking, body mass index and race/ethnicity. RESULTS: Overall, episodic heavy drinking was associated with increased odds of poor self-rated health in men and women. In men, episodic heavy drinking was independently associated with 1.28 (95% CI: 1.07-1.82) increased odds of poor health. The corresponding value in women was 1.86 (95% CI: 1.05-2.28). In men, being Black was associated with approximately two-fold (OR=1.96; 95% CI: 1.33, 2.89), and being Hispanic was associated with approximately four-fold (OR=3.59; 95% CI: 2.50, 5.14) increased odds of poor self-rated health relative to being White. The corresponding odds ratios in women were 2.97 (95% CI: 1.90, 4.64) and 5.18 (95% CI: 3.23, 8.30). Associations were greater among blacks (adjusted OR=2.41; 95% CI: 1.81-3.22) and Hispanics (adjusted OR=4.15; 95% CI: 3.12-5.52) than among whites. CONCLUSIONS: Poor health is associated with episodic heavy alcohol consumption. Public health strategies to curb alcohol abuse may improve self-reported health status in these at-risk populations.     

Self-Rated Health and Race Among Hispanic and Non-Hispanic Adults

Objective To investigate the association between race and self-rated health among Hispanics and non-Hispanics using data from the National Health Interview Survey 2000–2003. Methods This analysis was limited to Hispanic and non-Hispanic whites and blacks ≥18 years of age. The outcome was self-rated health. The main independent variable was race/ethnicity, and potential confounders included sociodemographic characteristics, access to care, health behaviors, and comorbidities. Results Non-Hispanic blacks exhibited the highest prevalence of fair/poor self-rated health compared to their white counterparts. In the adjusted analyses, compared to non-Hispanic whites, non-Hispanic blacks (OR: 1.21; 95% CI: 1.16–1.43), Hispanic whites (OR: 1.32; 95% CI: 1.14–1.52) and blacks (OR: 2.19; 95% CI: 1.07–4.49) were more likely to rate their health as fair/poor. There was no difference in self-rated health between Hispanic and non-Hispanic blacks. Discussion This study underscores the importance of accounting for the racial heterogeneity among Hispanics when presenting health data. Ignoring race could mask health variations among Hispanics.     

Social patterning of cardiovascular and metabolic risk in Colombian adults

Objectives: To test for differences in cardiovascular and metabolic risk (CMR) by educational attainment and physical capital. To compare CMR among black, indigenous, and mixed populations, accounting for socioeconomic status (SES).

Design: We conducted multivariate analyses using cross-sectional data from a national survey of Colombian adults (n?=?10,814) to examine the social patterning of CMR. In sex/gender-stratified models, a CMR index was regressed on educational attainment, physical capital, ethnicity/race, and age.

Results: Women with a primary education (OR?=?1.64, 95% CI: 1.25, 2.15) had higher age- and ethnicity/race-adjusted odds of CMR than women with more than secondary education. Men with a primary education (OR?=?0.67, 95% CI: 0.48, 0.92) had significantly lower adjusted odds of CMR than men with more than secondary education; these associations did not remain significant after adjustments for physical capital. Men in the first (OR?=?0.45, 95% CI: 0.36, 0.57) and second (OR?=?0.72, 95% CI: 0.57, 0.91) physical capital tertiles had significantly lower adjusted odds of CMR than those in the highest tertile. There was not a significant patterning of CMR by ethnicity/race for women or men, or by physical capital for women.

Conclusions: Findings suggest that for Colombian adults CMR is patterned by SES; these associations differ by sex/gender.     

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.     

Toward an institutional perspective on social capital health interventions: lay community health workers as social capital builders

This article argues that social capital health research should move beyond a mere focus on social cohesion and network perspectives to integrate an institutional approach into the development of social capital health interventions. An institutional perspective, which is unique in its emphasis on linking social capital in addition to the bonding and bridging forms, contextualises social capital, allowing researchers to confront the complexity of social relationships. This perspective allows for the construction of interventions that draw on the resources of diverse actors, particularly the state. One intervention strategy with the potential to create community linkages involves lay community health workers (LCHWs), individuals who are trained to perform a variety of health-related functions but lack a formal professional health education. This article begins with a review of the institutional social capital-building literature. It then goes on to briefly review the social capital and health literature and discuss the state of intervention research. Thereafter, it describes LCHWs and discusses studies that have utilised LCHWs to tackle community health problems. In doing so, this article presents an institutional-based systematic framework for how LCHWs can build social capital, including a discussion of the ways in which LCHWs can successfully promote bonding, bridging and linking social capital.     

Bonding and bridging neighborliness: An individual-level study in the context of health

Although previous research provides a compelling picture of social capital's role in predicting health outcomes, only a modicum of research has tested the more detailed roles of the dimensions of bonding and bridging social capital, with no research focusing exclusively on bonding and bridging neighborliness or ethnicity. To help fill this gap in the literature, the current study measures individual-level bonding and bridging neighborliness for four U.S. ethnic groups—and then, with cross-sectional data from a 2007 national telephone survey of U.S. adults, employs ordinal logistic regression and OLS regression to test the individual-level predictors of self-rated health and stress, when controlling for BMI and demographics. Bonding neighborliness was associated with self-rated health and inversely associated with stress, whereas bridging neighborliness was not significantly linked to either health outcome. When also controlling for neighborhood composition, the bonding neighborliness findings remained generally consistent, while the association between bridging neighborliness and self-rated health gained significance. These results indicate the protective effects that bonding neighborliness can have on health outcomes, as well as the more modest protective effects of bridging neighborliness. These findings have implications for future research and practice, highlighting the potential of health interventions and policies that target the development of bonding social capital.     

Social capital – a neglected issue in diabetes control: a cross‐sectional survey in Iran

Glycaemic control is an essential component in diabetes management. There is growing attention on the protective effects of social capital on health, where social capital comprises features of society that facilitate co‐operation for mutual benefit. The aim of this study was to investigate its role as a social determinant of health in the glycaemic control of diabetes mellitus. A cross‐sectional study was conducted in a diabetes care charity institute, Isfahan, Iran from July 2010 to September 2010. Based on the level of HbA1c, all patients were divided into two groups: HbA1c level ≤ 7 as controlled diabetes and HbA1c level > 7 as uncontrolled diabetes. Sixty patients were randomly selected from each group (controlled diabetes and uncontrolled diabetes) and all agreed to participate. Social capital was measured using the Integrated Questionnaire for the Measurement of Social Capital (SC‐IQ). The mean age of participants in the controlled diabetes group was 51.3 (SD: 7.8) years and 50.1(SD: 7.2) in the uncontrolled group. The mean social capital score was 185.1 (CI 95% 181.4–188.6) in the controlled group and 175.4 (CI 95% 171.8–178.8) in the uncontrolled group. There was a significant negative correlation between empowerment and political action and trust and solidarity dimensions and the level of HbA1c. In multiple regression analysis, trust and solidarity and empowerment and political action were significant predictors of the HbA1c. The results of this study suggest that social participation, trust, and empowerment and political action may determine how effectively the patient’s diabetes has been managed. This initial finding warrants subsequent experimental investigations designed to identify strategies that can be used to foster the creation of social capital to improve diabetes control.     

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.     

Risk modifying effect of social capital on measures of heavy alcohol consumption, alcohol abuse, harms, and secondhand effects: national survey findings

STUDY OBJECTIVE: To examine associations between social capital and individual risk for alcohol abuse and harms and identify protective effect mechanisms. DESIGN: Multilevel multivariate analysis with individual level data from a national panel survey of drinking and a contextual measure of social capital reflecting college mean aggregate reports of student volunteerism. Outcomes include heavy episodic (binge) drinking, frequent drinking, frequent drunkenness, diagnosable alcohol abuse, intentional drunkenness, acquisition of binge drinking, harms, secondhand effects from others' drinking. SETTING: United States, 119 four year colleges. PARTICIPANTS: Representative samples of youth ages 18-24 surveyed in 1997 and 1999 using an anonymous mailed questionnaire (total n = 27 687). MAIN RESULTS: Students from colleges with higher levels of social capital reported reduced risks for binge drinking (adjusted OR 0.38, 95% CI 0.20 to 0.69, p = 0.002), frequent drunkenness (adjusted OR 0.58, 95% CI 0.34 to 0.98, p = 0.04), acquisition of binge drinking in college (adjusted OR 0.48, 95% CI 0.24 to 0.95, p = 0.03), and alcohol abuse (adjusted OR 0.55, 95% CI 0.34 to 0.91, p = 0.02) in multilevel multivariate analyses that controlled for individual volunteering, the measure on which social capital was based. Higher levels of social capital protected against multiple drinking related harms (adjusted OR 0.51, 95% CI 0.29 to 0.90, p = 0.02) and secondhand drinking effects (adjusted OR, 0.30, 95% CI 0.16 to 0.58, p = 0.0003). Significant cross level interactions exist between fraternity/sorority membership and social capital for measures of risky drinking. Harm reduction primarily reflects consumption modification. CONCLUSIONS: Social capital exerts strong protective effects on alcohol abuse and harm in college including among high risk students.     

Community resilience and health: the role of bonding, bridging, and linking aspects of social capital

The current study draws on data from the 2007 and 2009 Citizenship Survey collected in England (n=17,572) to explore the role of social capital in building community resilience and health, using the bonding, bridging, and linking social capital framework of Szreter and Woolcock (2004). The results show that the indicators of the different types of social capital are only weakly interrelated, suggesting that they capture different aspects of the social environment. In line with the expectations, most indicators of bonding, bridging, and linking social capital were significantly associated with neighbourhood deprivation and self-reported health. In particular bonding and bridging social cohesion, civic participation, heterogeneous socio-economic relationships, and political efficacy and trust appeared important for community health after controlling for neighbourhood deprivation. However, no support was found for the hypothesis that the different aspects help buffer against the detrimental influences of neighbourhood deprivation.