Dataset Information

Association between social capital and depression among older people: evidence from Anhui Province, China.

ABSTRACT:

Background

To examine the relationship between social capital and depression among community-dwelling older adults in Anhui Province, China.

Methods

A cross-sectional study was conducted among older people selected from three cities of Anhui Province, China using a multi-stage stratified cluster random sampling method. Data were collected through questionnaire interviews and information on demographic characteristics, social capital, and depression was collected. The generalized linear model and classification and regression tree model were employed to assess the association between social capital and depression.

Results

Totally, 1810 older people aged ?60?years were included in the final analysis. Overall, all of the social capital dimensions were positively associated with depression: social participation (coefficient: 0.35, 95% CI: 0.22-0.48), social support (coefficient:0.18, 95% CI:0.07-0.28), social connection (coefficient: 0.76, 95% CI:0.53-1.00), trust (coefficient:0.62, 95% CI:0.33-0.92), cohesion (coefficient:0.31, 95% CI:0.17-0.44) and reciprocity (coefficient:0.30, 95% CI:0.11-0.48), which suggested that older people with higher social capital had a smaller chance to develop depression. A complex joint effect of certain social capital dimensions on depression was also observed. The association with depression and the combinative effect of social capital varied among older adults across the cities.

Conclusions

Our study suggests that improving social capital could aid in the prevention of depression among older adults.

SUBMITTER: Bai Z

PROVIDER: S-EPMC7565750 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Publications

Association between social capital and depression among older people: evidence from Anhui Province, China.

Bai Zhongliang Z Xu Zhiwei Z Xu Xiaoru X Qin Xia X Hu Wenbiao W Hu Zhi Z

BMC public health 20201016 1

<h4>Background</h4>To examine the relationship between social capital and depression among community-dwelling older adults in Anhui Province, China.<h4>Methods</h4>A cross-sectional study was conducted among older people selected from three cities of Anhui Province, China using a multi-stage stratified cluster random sampling method. Data were collected through questionnaire interviews and information on demographic characteristics, social capital, and depression was collected. The generalized l ...[more]

PMID: 33066764

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Project description:BackgroundThe prevalence of depression symptoms among medical students is particularly high, and it has increased during the COVID-19 epidemic. Sleep quality and state-trait anxiety are risk factors for depression, but no study has yet investigated the mediating role of state-trait anxiety in the relationship between poor sleep quality and depression symptoms in medical students. This study aims to investigate the relationship among depression symptoms, sleep quality and state-trait anxiety in medical university students in Anhui Province.MethodsThis was a cross-sectional survey of 1227 students' online questionnaires collected from four medical universities in Anhui Province using a convenience sampling method. We measured respondents' sleep quality, state-trait anxiety, and depression symptoms using three scales: the Pittsburgh Sleep Quality Index (PSQI), the State-Trait Anxiety Inventory (STAI) and the Self-rating Depression Scale (SDS). We analysed the mediating role of STAI scores on the association between PSQI scores and SDS scores through the Sobel-Goodman Mediation Test while controlling for covariates. P < 0.05 was considered statistically significant.ResultsA total of 74.33% (912) and 41.40% (518) of the respondents reported suffering from poor sleep quality and depression symptoms. Sleep quality, state-trait anxiety, and depression symptoms were positively associated with each other (β = 0.381 ~ 0.775, P < 0.001). State-trait anxiety partially mediated the association between sleep quality and depression symptoms (Sobel test Z = 15.090, P < 0.001), and this mediating variable accounted for 83.79% of the association when adjusting for potential confounders. Subgroup analysis further revealed that STAI scores partially mediated the association between PSQI scores and SDS scores in females and rural students and fully mediated the association between PSQI scores and SDS scores in males and urban students.ConclusionsThis study found that sleep quality and state-trait anxiety have a significant predictive effect on depression symptoms. State-trait anxiety mediated the relationship between sleep quality and depression symptoms, with a more complex mechanism observed among rural and female medical students. Multiple pathways of intervention should be adopted, such as encouraging students to self-adjust, providing professional psychological intervention and timely monitoring, enriching extracurricular activities, and making changes in policies regarding long shifts and working hours.

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Dataset Information

Association between social capital and depression among older people: evidence from Anhui Province, China.

Background

Methods

Results

Conclusions

Publications

Association between social capital and depression among older people: evidence from Anhui Province, China.

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