Social capital, socioeconomic status, and depression in community-living elderly

Han, Kook Nam; Shin, Cheolmin; Jee, Hee Jung; An, Hyonggin; Yoon, Ho Kyoung; Ko, Young Hoon; Kim, Seung‐Hyun

doi:10.1016/j.jpsychires.2018.01.002

Cited by 86 publications

(80 citation statements)

References 48 publications

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“…We found that a higher level of social capital was associated with a lower likelihood of experiencing depressive disorders after adjustment for confounders in the total population, which is consistent with previous studies [6,10,11,27]. Li et al [10] and Han et al [6] showed that a lower level of social capital (concerning trust and reciprocity) was connected associated with suffering from depression among people in their later life. In line with a prior study [28], we also found social connection could reduce the risk of depression among older adults.…”

Section: Discussionsupporting

confidence: 91%

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

Bai

et al. 2020

Preprint

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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, 1,810 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.

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Section: Discussionsupporting

confidence: 91%

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

Bai

et al. 2020

Preprint

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“…Likewise, a study found that older people living in a higher economic community with greater trust with family members were less likely to be depressed [6,38]. By looking at these ndings, we recon rmed the signi cant role of social capital in maintaining the mental health of older populations, which is in line with previous studies [6,11] and broadens our understanding of the role of social capital across areas of different economic levels.…”

Section: Discussionsupporting

confidence: 86%

“…Previous studies also concluded that older individuals with worse reciprocity and social connection had a higher risk of depression [6,31,37], but they did not categorize older people with a middle economic level, and more evidence is needed to examine the association between social capital and depression within a region with different economic statuses. Likewise, a study found that older people living in a higher economic community with greater trust with family members were less likely to be depressed [6,38]. By looking at these ndings, we recon rmed the signi cant role of social capital in maintaining the mental health of older populations, which is in line with previous studies [6,11] and broadens our understanding of the role of social capital across areas of different economic levels.…”

Section: Discussionmentioning

confidence: 99%

“…Although a number of risk factors such as age, female, unfavorable economic levels and social capital, have been investigated in previous research [5][6][7]11], it remains unclear if there is a synergistic or antagonistic effect between social capital and other risk factors on depression. In practice, older adults are exposed to two or more risk factors like low economic level and low trust and reciprocity, making them more vulnerable to depression [6]. It is thus needed to investigate how risk factors interact to in uence the depression in later life.…”

Section: Introductionmentioning

confidence: 99%

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

Bai

et al. 2020

Preprint

View full text Add to dashboard Cite

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, 1,810 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. Keywords : Social Capital, Depression, Elderly, Mental Health, China

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“…Mental health is currently facing a serious problem of inequality, and this has become an important public health problem in developing countries [6]. Previous studies indicate that the prevalence of depression varies greatly among different socio-economic statuses and concentrates in low-income groups [7]. There is a close relationship between income inequality and depression [8].…”

Section: Introductionmentioning

confidence: 99%

Changes in income-related inequalities of depression prevalence in China: a longitudinal, population study

Zeng

Jian

2019

Soc Psychiatry Psychiatr Epidemiol

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Purpose This study aimed to measure the income-related inequality of depressive symptoms and its trends among middleaged and elderly people in China. Methods Data were extracted from the 2011 baseline and 2015 follow-up of the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey for people aged 45 years and more. Depressive symptoms were evaluated with the Chinese version of the ten-item Center for Epidemiologic Studies Depression Scale. Five relative income levels were derived from ratios between the participants' annual per capita household expenditure, excluding medical expenditure, and the median PCE of their cities. The concentration curve and index were used to compare the magnitude of income-related inequality between 2 years. A logistic regression model was used to control the other socioeconomic factors. Results The prevalence of depression among middle-aged and elderly people in China decreased from 37.0% (5540 of 14,956 participants) in 2011 to 32.7% (5606 of 17,165) in 2015. However, the absolute value of the standardized concentration index increased from 0.005 to 0.028. Although the second lowest-income group had the greatest improvement in the decline of prevalence (5.7%, from 38.6 to 32.9%), the lowest-income group had only the minimal decline (2.4%, from 40.6 to 38.2%). In 2015, there were significant differences between the lowest-income group and other four groups while the differences among other four groups were not statistically significant. Conclusions The prevalence of depression among the middle-aged and elderly in China is declining, but the issue of incomerelated inequality has been exacerbated. The fairness of mental health deserves more attention.

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Social capital, socioeconomic status, and depression in community-living elderly

Cited by 86 publications

References 48 publications

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

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

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

Changes in income-related inequalities of depression prevalence in China: a longitudinal, population study

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