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

Bai, Zhongliang; Xu, Zhiwei; Xu, Xiaoru; Xia, Qing; Hu, Wenbiao; Zhi, Hu

doi:10.1186/s12889-020-09657-7

Cited by 41 publications

(45 citation statements)

References 38 publications

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“…In brief, 1935 participants were interviewed, while 1810 were finally included for analysis. A detailed description of the study design and data collection has been fully described previously [ 28 , 29 ].…”

Section: Methodsmentioning

confidence: 99%

“…Social capital was measured with a five-point Likert scale and 22 items. More information about the measurement of social capital has been published previously [ 28 , 29 ] and can also be found in Additional file 2 .…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we measured the functional ability of the participants using the work of Lawton and Brody [ 28 , 34 ], meanwhile, the number of diseases was collected based on the physical health section of the Older Americans Resources and Services (ORAS) [ 35 ], which were ranked into four categories: 0, 1, 2, > 2 [ 36 ]. More detailed information about these variables has been described in our previous papers [ 28 , 29 ].…”

Section: Methodsmentioning

confidence: 99%

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Association between social capital and loneliness among older adults: a cross-sectional study in Anhui Province, China

et al. 2021

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Background We aimed to examine the association between social capital and loneliness in Anhui Province, China. Methods Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed to assess the association of social capital and loneliness. Results Our results indicated that social capital in terms of lower level of social participation (AOR = 1.38; 95% CI: 1.10–1.74), social connection (AOR = 1.51; 95% CI: 1.18–1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13–1.90) were associated with higher odds of developing loneliness. We noted the interactive effect of different social capital dimensions on loneliness, suggesting that the risk for suffering loneliness was greatest in older people limited in functional ability, with less trust, less social connection, and less social participation. Conclusions Our findings show that social capital is associated with loneliness in older adults. This implies that social capital, especially in terms of trust, social connection, and social participation may be significant for alleviating loneliness in later life.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Association between social capital and loneliness among older adults: a cross-sectional study in Anhui Province, China

et al. 2021

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“…The scale was developed based on the World Bank’s social capital assessment tool [ 36 ] and combined with China’s national conditions and culture. It has been widely used in the Chinese population [ 37 – 39 ]. It has two subscales: structural social capital and cognitive social capital.…”

Section: Methodsmentioning

confidence: 99%

The relationship among social capital, eHealth literacy and health behaviours in Chinese elderly people: a cross-sectional study

Cui

Yin

et al. 2021

BMC Public Health

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Background Social capital has been linked to health behaviours, but the underlying mechanism is unclear. Previous studies have found that health literacy played the role of a mediator in the relationships among social capital, individual physical activity and nutrition. But it is not clear whether eHealth literacy mediates the impact of social capital on health behaviours. Therefore, our research aimed to explore the relationships among social capital (structural and cognitive social capital), eHealth literacy, and the health behaviours of elderly people, and to analyse the mediating effect of eHealth literacy, while providing a theoretical basis for a health behaviour intervention for elderly people. Methods From January to February 2019, we conducted a cross-sectional survey of 1201 Chinese people aged over 60 years using the Chinese Shortened Social Capital Scale (contains two subscales of structural social capital and cognitive social capital), eHealth Literacy Scale, and Health-Promoting Lifestyle Profile. We used structural equation modelling to test a hypothetical mediation model. Results The mean scores of social capital was 72.07 (SD = 13.03), 17.24 (SD = 9.34) for eHealth literacy, and 112.23 (SD = 23.25) for health behaviours. Social capital and eHealth literacy were significantly correlated with health behaviours, and social capital and structural social capital were significantly correlated with eHealth literacy. Lastly, eHealth literacy mediated the relationship between structural social capital and health behaviours. Conclusions eHealth literacy was an important mediating factor for elderly people’s structural social capital and health behaviours. Therefore, social capital and eHealth literacy must be considered when designing and implementing health behaviour intervention programmes for elderly people.

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“…As a social determinant of health, SC may play an essential role in protecting individuals from depression. A recent study has found that older people with higher SC had a smaller chance to develop depression ( 21 ). Specifically, the study found an inverse association between SC and depression among migrant hypertensive patients ( 22 ).…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Social Capital and Depressive Symptoms Among Type 2 Diabetes Mellitus Patients in Northwest China: A Mediating Role of Sleep Quality

Wang

Dang

et al. 2021

Front. Psychiatry

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Objective: There are few studies about the relationship between social capital (SC) and depression among type 2 diabetes mellitus (T2DM) patients, and the mechanism explaining how SC leads to decreased depression is unclear. The current study aims to explore the relationship between SC and depressive symptoms among the T2DM patients in northwest China, with a particular focus on the mediating role of sleep quality.Methods: A cross-sectional study of 1,761 T2DM patients from Ningxia Province was conducted. The Center for Epidemiological Survey Depression Scale (CES-D) and self-report sleep quality questionnaire coupled with the SC scales were administered during the face-to-face survey. The Bootstrap methods PROCESS program is employed to test the mediation model.Results: The prevalence of depressive symptoms among T2DM patients was 24.8%. After controlling for covariates, the SC (r = −0.23, p < 0.001) was negatively correlated with CES-D score; the sleep quality was also negatively correlated with CES-D score (r = −0.31, p < 0.001); and the SC was positively correlated with sleep quality (r = 0.10, p < 0.001). Logistic regression analysis showed that SC was inversely related to the risk of depressive symptoms. Meanwhile, sleep quality was negatively associated with depressive symptoms. Sleep quality has mediated the relationship between SC and depressive symptoms among T2DM patients (explaining 12.6% of the total variance).Conclusions: We elucidated how SC interacted with depressive symptoms through the mediation pathway of sleep quality using a representative sample of the Chinese diabetes patients. The findings indicate that the improvement of SC and sleep quality may help in maintaining mental health among T2DM patients. Hence, clinicians can suggest that patients communicate more with others to improve the SC and, in turn, maintain their health.

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

Cited by 41 publications

References 38 publications

Association between social capital and loneliness among older adults: a cross-sectional study in Anhui Province, China

Association between social capital and loneliness among older adults: a cross-sectional study in Anhui Province, China

The relationship among social capital, eHealth literacy and health behaviours in Chinese elderly people: a cross-sectional study

Relationship Between Social Capital and Depressive Symptoms Among Type 2 Diabetes Mellitus Patients in Northwest China: A Mediating Role of Sleep Quality

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