Project description:PurposeCommon mental disorders are an increasing global public health concern. The least advantaged in society experience a greater burden of mental illness, but inequalities in mental health vary by social, political, and economic contexts. This study investigates whether spending on different types of social protection alters the extent of social inequality in depressive symptoms.MethodsData were obtained from the 2006 and 2012 cross-sectional waves of the European Social Survey, which included 48,397 individuals from 18 European countries. Depressive symptoms were measured using the Centre for Epidemiologic Studies-Depression Scale (CES-D 8). Statistical interactions between country-level social protection spending and individuals' education level, employment and family status were explored using multilevel regression models.ResultsHigher spending on active labour market programmes was related to narrower inequality in depressive symptoms by education level. Compared to men with high education, the marginal effect of having low education was 1.67 (95 % CI, 1.46-1.87) among men in countries with lower spending and 0.85 (95 % CI, 0.66-1.03) in higher spending countries. Single parents exhibited fewer depressive symptoms, as spending on family policies increased. Little evidence was found for an overall association between spending on unemployment benefits and employment-related inequalities in depressive symptoms, but in 2012, unemployment spending appeared beneficial to mental health among the unemployed.ConclusionsGreater investment in social protection may act to reduce inequalities in depressive symptoms. Reductions in spending levels or increased conditionality may adversely affect the mental health of disadvantaged social groups.
Project description:Psychological capital (PsyCap) is a multidimensional concept entailing hope, self-efficacy, optimism, and resilience. This paper argues that it can be considered a form of "capital" explaining social inequality. We test whether PsyCap can be integrated into the Bourdieusian capital framework by assessing its relationship with social, economic, and cultural capital. We also identify different types of social positions based on the volume and composition of psychological, economic, cultural, and social capital. We use cross-sectional data from the European Social Survey of 2012 (N = 35,313 respondents; 29 countries). To test the associations with the Bourdieusian capital types, we calculated multilevel spearman rank correlations and performed confirmatory factor analyses (CFA). Latent Class Analysis identified different types of social positions. We found positive weak correlations between PsyCap and the indicators of cultural capital (r ≤ .14) and positive moderate correlations with the indicators of economic and social capital (r ≤ .24). The results of the CFA showed that the fit of the 4-capital model was superior to that of the 3-capital model. We identified six types of social positions: two deprived types (with overall low capital levels); two well-off types (with overall high capital levels) and two types with high psychological and social capital in combination with varying levels of cultural and economic capital. Including PsyCap in the Bourdieusian capital framework acknowledges the power of positive psychological states regarding processes of social mobility and social inequality on the one hand and calls for understanding PsyCap as a social and group-level phenomenon on the other hand. As such, integrating PsyCap into the Bourdieusian framework can help to address the longstanding issue of understanding the relationship between social and individual differences in the study of social inequalities.
Project description:BackgroundDepression is one of the most common mental health problems in older adults. Community social capital and depressive symptoms in older adults have been discussed in previous studies but remain limited. This study aims to explore the association between community social capital and depressive symptoms among older adults relocated for poverty alleviation in China.MethodsThrough the multi-stage stratified sampling, 1882 relocated older adults (≥ 60) were surveyed in 24 resettlement sites in Shanxi Province, China. Community social capital was measured in civic participation, social cohesion, and reciprocity. Depressive symptoms were assessed by the 10-item CES-D scale.ResultsThere were 49.5% of relocated older adults reported significant depressive symptoms. We found that the relocated older adults who did not participate in leisure-time activities showed higher odds of reporting significant depressive symptoms compared to those who participated [Adjusted Odds Ratio (AOR) 1.360, 95% CI: 1.060 ~ 1.745], the relocated older adults who gave negative responses in community trust were more likely to report significant depressive symptoms compared to those who gave positive responses (AOR: 1.461, 95% CI: 1.126 ~ 1.896), and those who did not receive emotional support in their community showed 33.6% higher odds of reporting significant depressive symptoms (AOR: 1.336, 95% CI: 1.015 ~ 1.757) after controlling for all potential confounders.ConclusionsLeisure-time activity participation, community trust, and receiving emotional support were associated with depressive symptoms of older adults relocated for poverty alleviation in Shanxi, China. Targeted interventions on community social capital for relocated older adults are needed for mental health promotion.
Project description:IntroductionRecent research on health inequalities moves beyond illustrating the importance of psychosocial factors for health to a more in-depth study of the specific psychosocial pathways involved. Social capital is a concept that captures both a buffer function of the social environment on health, as well as potential negative effects arising from social inequality and exclusion. This systematic review assesses the current evidence, and identifies gaps in knowledge, on the associations and interactions between social capital and socioeconomic inequalities in health.MethodsThrough this systematic review we identified studies on the interactions between social capital and socioeconomic inequalities in health published before July 2012.ResultsThe literature search resulted in 618 studies after removal of duplicates, of which 60 studies were eligible for analysis. Self-reported measures of health were most frequently used, together with different bonding, bridging and linking components of social capital. A large majority, 56 studies, confirmed a correlation between social capital and socioeconomic inequalities in health. Twelve studies reported that social capital might buffer negative health effects of low socioeconomic status and five studies concluded that social capital has a stronger positive effect on health for people with a lower socioeconomic status.ConclusionsThere is evidence for both a buffer effect and a dependency effect of social capital on socioeconomic inequalities in health, although the studies that assess these interactions are limited in number. More evidence is needed, as identified hypotheses have implications for community action and for action on the structural causes of social inequalities.
Project description:BackgroundThis study aimed to examine the contextual effects of community-level social capital on the onset of depressive symptoms using a longitudinal study design.MethodsWe used questionnaire data from the 2010 and 2013 waves of the Japan Gerontological Evaluation Study that included 14,465 men and 14,600 women aged over 65 years from 295 communities. We also used data of a three-wave panel (2006-2010-2013) to test the robustness of the findings (n = 7,424). Using sex-stratified multilevel logistic regression, we investigated the lagged associations between three scales of baseline community social capital and the development of depressive symptoms.ResultsCommunity civic participation was inversely associated with the onset of depressive symptoms (men: adjusted odds ratio [AOR] 0.93; 95% confidence interval [CI], 0.88-0.99 and women: AOR 0.94; 95% CI, 0.88-0.997 per 1 standard deviation unit change in the score), while no such association was found in relation to the other two scales on social cohesion and reciprocity. This association was attenuated by the adjustment of individual responses to the civic participation component. Individual-level scores corresponding to all three community social capital components were significantly associated with lower risks for depressive symptoms. The results using the three-wave data set showed statistically less clear but similar associations.ConclusionsPromoting environment and services enhancing to community group participation might help mitigate the impact of late-life depression in an aging society.
Project description:Although studies have suggested that community social capital contributes to narrow income-based inequality in depression, the impacts may depend on its components. Our multilevel cross-sectional analysis of data from 42,208 men and 45,448 women aged 65 years or older living in 565 school districts in Japan found that higher community-level civic participation (i.e., average levels of group participation in the community) was positively associated with the prevalence of depressive symptoms among the low-income groups, independent of individual levels of group participation. Two other social capital components (cohesion and reciprocity) did not significantly alter the association between income and depressive symptoms.
Project description:BackgroundThe rising prevalence of depression in China, coupled with a tightening job market, highlights concern for the workforce's mental health. Although socioeconomic inequalities in depression have been well documented in high-income countries, the association between socioeconomic status (SES) and depression, along with its work-related mediators, has not been sufficiently studied in China.MethodsThe study participants are 6,536 non-agriculturally employed working adults from the 2020 China Family Panel Studies (CFPS). We build linear regression models to examine the relationship between SES and depression, using education and income as indicators of SES. We also apply a framework based on seemingly unrelated estimation (SUEST) to assess how job conditions, which include job demands and job resources, mediate this relationship.ResultsBoth education and income are negatively associated with depression, with education's association with depression remaining net of income. Mediation analysis reveals that the well-educated tend to occupy less demanding work with shorter working hours and lower probability of on-call duty, which partially helps explain the education-based depression gap. Higher earners experience more demanding work with longer working hours and higher probability of on-call duty, which potentially masks the income-based depression gap. Greater job resources including moderate schedule flexibility and better job security, appear to contribute to explaining the depression gap across SES.LimitationThe cross-sectional design of this study precludes causal inferences. Not all typical job demands and resources could be included due to data limitations.ConclusionOur study provides insights into socioeconomic inequalities in mental health in the Chinese working population, with implications for policies aimed at preventing depression and improving mental health equity.
Project description:BackgroundSocial capital is a social determinant of health that has an impact on equity and well-being. It may be unequally distributed among any population. The aims of this study are to investigate the distribution of different forms of social capital between men and women in Ukraine and analyse how potential gender inequalities in social capital might be explained and understood in the Ukrainian context.MethodThe national representative cross-sectional data from the European Social Survey (wave 6) was used with a sample of 1377 women and 797 men. Seven outcomes that represent cognitive and structural social capital were constructed i.e. institutional trust, generalised trust, reciprocity, safety, as well as bonding, bridging and linking forms. Multivariate logistic regression and post-regression Fairlies decompositions were used for the analyses.ResultsThere are several findings that resulted from the analyses i), access to institutional trust, linking and bridging social capital is very limited; ii), the odds for almost all forms of social capital (besides safety) are lower for men; iii), feeling about income and age explain most of the gender differences and act positively, as well as offsetting the differences.ConclusionSocial capital is unequally distributed between different population groups. Some forms of social capital have a stronger buffering effect on women than on men in Ukraine. Reducing gender and income inequalities would probably influence the distribution of social capital within the society.
Project description:We aimed to explore the relationship between social capital (SC) and frailty, and the mediation role of depressive symptoms in this relationship. A cross-sectional study among 2,591 older adults aged ≥60 years old was conducted from September 2020 to May 2021. SC, depressive symptoms, and frailty were measured using the social capital scale, the 9-item patient health questionnaire, and the FRAIL scale, respectively. The mediation model was tested by Bootstrap PROCESS. After controlling for socio-demographical covariates, the SC was negatively correlated with frailty (r = -0.07, P = 0.001), and depressive symptomatology (r = -0.08, P<0.001); while the depressive symptomatology was positively correlated with frailty (r = 0.33, P<0.001). Logistic regression results showed that SC was associated with a lower risk of frailty (OR = 0.94; 95% CI: 0.92-0.97; P<0.001). Depressive symptomatology partially mediated (explained 36.4% of the total variance) the association between SC and frailty. Those findings suggest that SC may protect older adults from frailty by reducing depressive symptoms. Prevention and intervention implications were also discussed.
Project description:BackgroundDepressive symptoms has become an increasingly important public health issue, contributing to disability and disease burden around the world. Higher socioeconomic status (SES) has been found to be associated with lower prevalence of depression, but there are few studies about the older Chinese adults with long-term follow up and rigorous prospective design. Meanwhile, there is little conclusive evidence about the mechanisms through which SES influences the onset of depressive symptoms.ObjectiveTo prospectively examine the association of baseline socioeconomic factors with the risks of developing depressive symptoms during 7-year follow up in older Chinese population, and to study the mechanism by which SES impacts the prevalence of depressive symptoms.MethodsA total of 5677 individuals over 45 years who participated in an ongoing nationally representative prospective cohort study, China Health and Retirement Longitudinal Study, were free from depressive symptoms at baseline, and completed 7-year follow-up were included. Depressive symptoms were assessed using the 10-item Center for Epidemiological Studies Depression Scale score. Cox proportional hazards regression models were used to examine the association of SES and the incidence of depressive symptoms in 2011 to 2018. Generalized structural equation model was used to analyze the mediation effects of social support on the relation between SES and depressive symptoms.ResultsDuring the 7-year follow-up, 2398 (42.2%) cases were identified as depressive symptoms. Compared with the lowest level of household income, participants with the highest level of household income had a 20% reduction in risk (95% CI, 0.70-0.92, P < 0.001). Participants who had junior high school or above education had a 41% lower risk of depressive disorders compared with illiterate participants (95% CI, 0.52-0.69, P < 0.001). The relationship between SES and depressive symptoms was partially mediated by the social support, where higher social support was negatively associated with depressive symptoms. The proportion of mediation effect was even larger for women compared with men.ConclusionSocioeconomic factors were independently associated with the development of depressive symptoms, and the relationship was partially mediated by social support. Social support could be an effective intervention to alleviate the negative effects of lower SES on mental health. Multiple-level policies should precisely target low-SES groups, and timely intervention to promote social support for this group should be used to reduce the influence of depression on individuals, family as well as the whole society.