Social capital - a mixed blessing for women? A cross-sectional study of different forms of social relations and self-rated depression in Moscow

Associations of Social Capital with Mental Disorder Prevalence, Severity, and Comorbidity among U.S. Adolescents

OBJECTIVE

To examine cross-sectional associations between social capital constructs and 1) adolescent lifetime mental disorders, 2) severity of functional impairment, and 3) psychiatric comorbidity.

METHOD

Data were from the National Comorbidity Survey Adolescent Supplement, a nationally representative mental health survey of 6,483 U.S. adolescents aged 13-18 years. Information from fully-structured diagnostic interviews, including adolescent and caregiver reports, was used to measure seven social capital constructs and lifetime DSM-IV mental disorders (mood, anxiety, behavior, substance use and eating disorder classes). Disorder severity was divided into severe vs. mild/moderate. Comorbidity was measured as the number of different classes of lifetime mental disorders.

RESULTS

Adjusted for socio-demographics and caregivers' mental health, the most consistent associations with adolescent mental disorder were for supportive friendships (any disorder OR = 0.95, 95%CI = 0.91-0.99), family cohesion (OR = 0.81, 95%CI = 0.75-0.86), school bonding (OR = 0.76, 95%CI = 0.71-0.81), and extracurricular participation (OR = 0.90, 95%CI = 0.86-0.95), although results differed by disorder class. Caregiver-reported neighborhood trust and reciprocity and caregiver community involvement were less consistently associated with mental disorder. Medium levels of adolescent-reported affiliation with neighbors was associated with lower odds of mood (OR = 0.81, 95%CI = 0.66-0.98) and anxiety (OR = 0.78, 95%CI = 0.64-0.96) disorder, while high levels were associated with higher odds of behavior disorder (OR = 1.47, 95%CI = 1.16-1.87). Several associations were stronger for severe vs. mild/moderate disorder and with increasing comorbidity.

CONCLUSION

Although we cannot infer causality, our findings support the notion that improving actual and/or perceived social capital, especially regarding friendships, family, and school, (e.g., through multimodal interventions) could aid in the prevention and treatment of both individual adolescent mental disorders and psychiatric comorbidity.

Factors related to the social network of core members of elderly care service social organizations: a cross-sectional study

Background

The social network of the core members of elderly care service social organizations could affect the performance of the organization, while studies concerning its related factors are limited. We aimed to explore factors that are associated with the social network of core members from elderly care service social organizations and provide references and suggestions for improving elderly care services.

Methods

This cross-sectional study employed a multi-stage stratified sampling method, and collected data concerning social network, demographic information and occupation. Univariate analysis and binary logistic regression were used to analyze factors that could affect the social network of the core members.

Results

Our results demonstrated that there is low social network of core members of elderly care social organizations. Out of the total membership, men (AOR = 1.708; 95%CI: 1.034–2.823), those with senior high school education (AOR = 1.923; 95%CI: 1.053–3.511), those with a college degree and above (AOR = 3.010; 95%CI: 1.591–5.692) and those that receive awards related to elderly care services (AOR = 2.260; 95%CI: 1.285–3.976) were associated with higher social network scores.

Conclusions

Our data successfully characterized the social status of core members of elderly care organizations. Therefore, health care professionals and policy makers in social organizations should use this knowledge in the care and service provision to the elderly; and implement actions that would promote networking in social organizations.

Exploring the Social Networks of Women Bereaved by Stillbirth: A Descriptive Qualitative Study

The loss of a baby to stillbirth is a traumatic experience and can lead to secondary losses, such as the loss of social relationships. In Nigeria, stillbirths are a common public health problem. However, limited attention has been given to the social ramifications of stillbirths. This study describes the social networks of women who have experienced a stillbirth and the factors influencing their social networks. Interviews and social network diagrams were used to collect data from 20 women about their social networks before and after stillbirth. Findings suggest that the experience of shame, unmet expectation of support, and a lack of trust led to relationship changes after stillbirth. Most participants met bereavement needs with their existing social networks before stillbirth, but many participants also experienced relationship losses (even among family networks). Information from social network analysis can reveal the risks and strengths inherent in social networks, which can be helpful for the provision of tailored/personalized bereavement care.

Socio-demographic, behavioural and psycho-social factors associated with depression in two Russian cities

BACKGROUND

Russia has a high burden of suicide and alcohol-attributable mortality. However there have been few studies of the epidemiology of depression.

METHODS

The study population was 5077 men and women aged 35-69 years from a cross-sectional population based survey in the cities of Arkhangelsk and Novosibirsk (2015-17). Moderate depression was defined as Patient Health Questionnaire-9 (PHQ-9) score≥10. Risk factors considered were socio-demographic factors (age, sex, marital status, living alone, education, employment status, financial constraints); health behaviours (smoking, alcohol use) and psycho-social factors (life events and social support).

RESULTS

After mutual adjustment for all other factors, there was evidence that PHQ-9≥10 was associated with sex (higher in women), financial constraints, employment status, being a non-drinker, problem drinking, smoking, not having enough people to confide in and the number of life events in the past 6 months. Employment status was more strongly associated in men (OR 1.84 (95%CI 1.17, 2.88)) than women (OR 1.15 95% CI 0.86, 1.55). The effect size was particularly striking for financial constraints (odd ratio over 3 times higher in those with not enough money for food and clothes compared to no financial constraints), problem drinking (OR 1.72 (1.12, 2.65) among drinkers with CAGE score of 2 and 2.25 (95% CI 1.42, 3.57) in those with score ≥3 compared to zero) and life events (85% higher odds in those experiencing one life event and over 4 times higher odds in those experiencing 3 or more life events) all of which demonstrated a dose-response with PHQ-9>=10.

LIMITATIONS

The study was cross-sectional in nature therefore temporal relationships could not be assessed.

CONCLUSIONS

We have identified here a range of risk factors for depression among the Russian general population consistent with findings from other populations. The strikingly strong association with financial constraints indicates the importance of social inequality for the burden of depression.

Gender convergence or divergence in the relationship between late-life depression and multiple stressors: evidence from a national survey in China

This study aimed to investigate gender convergence or divergence among older adults in China, a Confucian society with strong persistence of gender role differentiation. We examined how multiple stressors influence depression simultaneously, with gender comparison approach. The data were drawn from the China Longitudinal Aging Social Survey study (N = 8,097). Results indicated that older women reported significantly higher levels of depression than men, yet overall depressive symptoms showed many gender similarities. Surprisingly, our analyses supported the hypothesis of gender convergence in stressors predicting late-life depression. Recommendations for practice and further research priorities based on findings are discussed.

State- and County-Level Social Capital as Predictors of County-Level Suicide Rates in the United States: A Lagged Multilevel Study

From 1999 through 2017, age-adjusted suicide rates in the United States rose by 33% (from 10.5 to 14.0 per 100 000 population). Social capital, a key social determinant of health, could protect against suicide, but empirical evidence on this association is limited. Using multilevel data from the Centers for Disease Control and Prevention, we explored state- and county-level social capital as predictors of age-adjusted suicide rates pooled from 2010 through 2017 across 2112 US counties. In addition, we tested for causal mediation of these associations by state-level prevalence of depression. A 1-standard deviation increase in state-level social capital predicted lower county-level suicide mortality rates almost 2 decades later (0.87 fewer suicides per 100 000 population; P = .04). This association was present among non-Hispanic Black people and among men but not among non-Hispanic White people and women. We also found evidence of partial mediation by prevalence of depression. Our findings suggest that elevating state- and county-level social capital, such as through policy and local initiatives, may help to reverse the trend of rising suicide rates in the United States.

Social Capital and Self-Rated Health: Empirical Evidence from China

This study assesses the relationship between social capital and self-reported health (SRH) by comparing different genders and ages. It utilizes data from the 2016 China Family Panel Study data with a sample of 30,657 adult individuals from 25 provincial-level administrative regions in China. This was a cross-sectional study conducted with computer-assisted face-to-face interviews to assess social capital and self-rated health among Chinese adults. A multi-level Poisson regression model is employed to model social capital-related dependent variables using the independent variable of fair/poor health status. In terms of social relations, mobile phone use can improve men's health. However, this effect is insignificant for women. Moreover, gender and age interact with the relationship between social capital and individual health. The relationship between trust and self-rated health is not significantly different between men and women. The frequency of feeling lonely and the lack of feelings for the community in which they live have a negative impact on self-rated health, but there are no obvious differences in terms of gender. The number of meals per week with family members is negatively correlated with men's SRH, but there is no correlation with adult women 41 and above. Lack of help from neighbors is negatively correlated with men's health, but not with that of adult women 40 and below. Being a member of the Chinese Communist Party or a member of the Chinese Communist Youth League is positively correlated with SRH for women 60 and above.

Population norms of health-related quality of life in Moscow, Russia: the EQ-5D-5L-based survey

Purpose

To develop population norms for the EQ-5D-5L questionnaire based on a representative sample of Moscow citizens.

Methods

We used quota sampling accounting for sex, age group and administrative district of residence. Respondents in randomly selected outdoor and indoor locations were surveyed with the official Russian paper-and-pencil version of the EQ-5D-5L questionnaire and a set of socio-demographic questions. We estimated four types of EQ-5D results: the distribution of limitations according to EQ-5D-5L dimensions, the perception of the health-related quality of life (HRQoL) with a visual analogue scale (EQ VAS), the unweighted score for a respondent’s health state (Level Sum Score, LSS) and the Russian health preferences-based weighted score (EQ index). In order to estimate the EQ-5D-5L index, we used a newly developed Russian EQ-5D-3L value set, together with EuroQol Group cross-over methodology.

Results

A total of 1020 respondents (18–93 years old) from the general Moscow adult population completed the EQ-5D-5L questionnaire. HRQoL domains with the largest number of identified health limitations were pain/discomfort (48.6%) and anxiety/depression (44.1%). Two hundred seventy-nine respondents (27.0%) did not report any health restrictions. The mean EQ VAS and EQ-5D-5L index were 74.1 (SD 17.3) and 0.907 (0.106) respectively. Multivariate analysis showed that female sex, advanced age and lack of access to the Internet had a negative influence on HRQoL, whereas residence in certain districts had a positive impact.

Conclusions

The study provides population norms of health-related quality of life in Moscow, measured according to the EQ-5D-5L questionnaire. These reference values can be used to optimise the effectiveness of resource allocation in healthcare.

Electronic supplementary material

The online version of this article (10.1007/s11136-020-02705-0) contains supplementary material, which is available to authorised users.

Small but protective social capital against suicide ideation in poor communities: A community-based cross-sectional study

Coupled with the lowest level of social connectedness, South Korea has the highest suicide rate among the Organization for Economic Co-operation and Development countries. A possible link between community and suicide is social capital imprinted in social connectedness. This study explores whether social capital is protective against suicide ideation in relation to the poverty level of communities, and whether the associations are specific to certain elements of social capital.A total of 908 participants were included to assess cross-sectional association of social capital at individual level with suicide ideation by comparing between poor (government-leased apartments) and non-poor communities (nongovernment-leased apartments). Logistic regression analyses were performed to examine various social capital dimensions in relation to suicide ideation.Suicide ideation was far higher among those living in the poor communities (poor communities 12%; non poor communities 6.3%) and the level of social capital was lower in the poor communities. Nevertheless, the protective effect of social capital, in particular, the cognitive dimension against suicide ideation was demonstrated only in the poor communities (eg, odds ratio = 0.27, 95% confidence interval: 0.12-0.58 for trust in the poor communities). Low income was significantly associated with suicide ideation only in the poor communities, but depression and resilience were associated with suicide ideation both in the poor and non-poor communities.To increase the reliability of the results, established measures based on relevant literature were utilized, but measures on bridging social capital and social network might have relatively low reliability.As to protection against suicide ideation, the extent of reliance on social capital was higher in poor communities than in non-poor communities, in particular, the cognitive dimension was likely to activate in this regard.

The Relationship Between Social Capital and Depressive Symptoms Among the Elderly in China: The Mediating Role of Life Satisfaction

Background and Aim

Depression has become a serious health and social issue in recent years in China. This study aims to explore the relationship between social capital and depressive symptoms among the elderly in China, with a particular focus on the mediating role of life satisfaction.

Methods

The data of this study were sourced from the 2016 wave of China Family Panel Studies (CFPS), involving 1243 older adults aged 60 and above. A multiple linear regression model was used to explore the impact of social capital on depressive symptoms. Moreover, the add-on PROCESS macro for SPSS was employed to measure the mediating effect of life satisfaction on the relationship between social capital and depressive symptoms.

Results

The regression results suggest that CES-D score was associated with trust (coefficient = −0.1013, p < 0.01). In addition, the protective role of trust was significantly stronger for older adults aged 70–79, women, the poorest 1/3, and the elderly who live in rural areas. Moreover, the mediation analysis results suggest that the effect of trust on depressive symptoms was fully mediated by life satisfaction.

Conclusion

This study reveals that social capital has a positive effect on depressive symptoms among the elderly, and the positive health effect shows significant age, gender, income, and location inequalities. Furthermore, this study also provides new evidence indicating that life satisfaction fully mediates the relationship between social capital and depressive symptoms. Improving social capital could be a promising way for China to promote healthy aging in the future.

Gender Difference in Social Capital, Common Mental Disorders and Depression: ELSA-Brasil Study

Association studies between social capital and health point out that a high level of social capital can act as a protector for mental health. The growing interest in social risk factors for mental health coincides with the development of social capital research. Higher levels of social capital available through social networks can act as a protector for mental health. This study investigates gender differences in the association between social capital and common mental disorders (CMD) and depression. We analyzed 15,052 participants in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). CMD and depression were assessed by Clinical Interview Schedule-Revised (CIS-R) and social capital by the Resource Generator scale. We used Logistic regression models stratified by sex. Women with lower social capital in the social support dimension had a greater chance of presenting CMD (OR = 1.36; CI 95%: 1.16–1.60) and depression (OR = 2.07; CI 95%: 1.57–2.72) when compared to women with higher social capital. No association was identified among men, or among women in the “prestige and education” dimension. The differences found between the dimensions of social capital support its multidimensionality, as well as the differences found between sexes, confirm the need to approach gender in its association with mental health.

Impress of intergenerational emotional support on the depression in non-cohabiting parents

BACKGROUND

Mental health is one of the important dimensions of health, while depression is an important indicator of mental health evaluation.

AIM

To investigate the association between intergenerational emotional support and depression of non-cohabiting parents (≥ 45 years old) in China.

METHODS

We used the fourth wave data from the China Health and Retirement Longitudinal Study (2015). The data was made up of ten main modules, the associated two datasets, and five constructed datasets. The first step is to select the corresponding module data according to the purpose of this study. Moreover, the data of the six modules are integrated by the unique ID code and we choose depression and non-cohabiting items as the selection conditions. 4810 samples were selected, which mainly included data on intergenerational emotional support and the individual scores on depressive symptoms.

RESULTS

The average age of 4810 respondents was (60.56 ± 14.613) years old. Females were accounted for more than half of the samples (52.6%). 74.0% respondents from rural areas and approximately 63.3% of the participants had a chronic disease. The mean value of the CESD-10 score was 13.06 (SD5.225). Both faces to face and phone contacts were protective factors on depression symptoms in the mid-aged and seniors in China (P < 0.05). In terms of the frequency of face to face contact, the more frequently you met your parents, the lower your parents' depressive score was. Also, phone contact variable results are displayed as a positive correlation completely between inter-generational contacts from children and depressive symptoms in non-cohabiting parents in China. Children’s education level and income level were also reducing the risk of depression in non-cohabiting parents. However, gender, children’s numerous, chronic disease and chronic disease number were the risk factors.

CONCLUSION

Intergenerational emotional support is associated with depressive symptoms in non-cohabiting parents in China. However, the relationship was also affected by other variables.

What determines gender inequalities in social capital in Ukraine?

Background

Social 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.

Method

The 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.

Results

There 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.

Conclusion

Social 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.

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There is a limited access to institutional trust, linking and bridging social capital.

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The odds for almost all forms of social capital are lower for men (besides safety).

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Feeling about income and age explain most of the gender differences.

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Feeling about income and age offset most of the gender differences.

Associations between personal social capital and depressive symptoms: Evidence from a probability sample of urban residents in China

BACKGROUND:

Rapid socioeconomic changes in China present a mental health challenge and also an opportunity to investigate the relationship between social capital and depression.

MATERIALS AND METHODS:

Participants (18-45 years old, N = 1,250) were selected using a probability sampling method. The relationship between social capital (measured using the Personal Social Capital Scale) and depression (measured using the Brief Symptom Inventory Depression Subscale) was examined using bivariate analysis, followed by multiple regression to control for covariates.

RESULTS:

Of the total sample, 54.64% were female with mean age = 35.1 (standard deviation ( SD) = 7.5) years old. Depression score was 10.40 ( SD = 3.62) for males and 10.36 ( SD) = 3.30) for females. The social capital measures (including the total, bonding and bridging) were all negatively associated with depression scores, while the negative social capital was positively associated, after controlling for covariates. Subgroup analysis revealed some differences in the social capital-depression associations.

CONCLUSION:

The protective effect of social capital for mental health reported in other countries is also evident in this study. In addition, we found a positive association between negative social capital and depression. In addition to adding new knowledge, findings of this study, if verified with longitudinal design, can be used to support social and behavioral interventions in China to promote mental health by social capital enhancement.

Self-diagnosed depression in the Norwegian general population - associations with neuroticism, extraversion, optimism, and general self-efficacy

BACKGROUND

Multi-item rating scales for depression informs about the level of depression, but does not allow individuals to state by self-evaluation whether they feel depressed or not. The insider perspective on depression is rarely assessed. This study investigated the prevalence of self-diagnosed depression in the Norwegian general population, and associations with sociodemographic and psychological factors.

METHODS

As part of a national survey, the General Self-Efficacy Scale, the Life Orientation Test-Revised, a short version of the Eysenck Personality Questionnaire and a one-item measure of self-diagnosed depression was administered to 5.500 persons in the general Norwegian population. Of the 4961 eligible participants ≥ 18 years of age, 1.787 (response rate 36%) participated in the survey, and 1.684 of these had valid scores on the relevant scales. The associations between sociodemographic factors and self-diagnosed depression were examined using univariate and multivariate logistic regression analyses.

RESULTS

One hundred and thirty-six participants (8.1%) reported depression during the preceding month. When adjusting for sociodemographic and psychological variables, higher age (OR = 0.82), being in work (OR = 0.57), and higher levels of general self-efficacy (OR = 0.67) and optimism (OR = 0.52) were associated with lower risk of self-diagnosed depression, whereas higher levels of neuroticism (OR = 1.97) was associated with higher risk.

CONCLUSIONS

The prevalence of self-diagnosed depression in the adult Norwegian population was higher for women than for men. Higher age, being in work and having higher levels of psychological resources appear to reduce the risk of self-diagnosed depression, whereas neuroticism increases the risk.

The dark side of social capital: A systematic review of the negative health effects of social capital

There is a growing literature demonstrating the health benefits of social capital (defined as the resources accessed through social connections). However, social capital is also acknowledged to be a "double-edged" phenomenon, whose effects on health are not always positive. We sought to systematically review studies that have found a negative (i.e. harmful) association between social capital and health outcomes. Our objective was to classify the different types of negative effects, following a framework originally proposed by Portes (1998). We conducted a literature search in Pubmed, Embase and PsychInfo. We identified 3530 manuscripts. After detailed review, we included 44 articles in our systematic review. There are at least two negative consequences of social capital besides the classification proposed by Portes: behavioral contagion and cross-level interactions between social cohesion and individual characteristics. When leveraging the concept of social capital for health promotion interventions, researchers need to take account of these potential "downsides" for health outcomes.