Different roles of social participation in socioeconomic disparities in depressive symptoms of Koreans across age groups

Individual-level community-based social capital and depressive symptoms among older adults in urban China: the moderating effects of socioeconomic status

OBJECTIVES

This study aimed to examine the moderating role of socioeconomic status in the association between community-based social capital-based on individual-level cognitive and structural social capital-and depressive symptoms among older adults in urban China.

METHODS

Data were collected in 2020 through a community survey of 800 respondents aged 60 years and older living in Shijiazhuang and Tianjin. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Multiple-group analyses were conducted to analyze the data.

RESULTS

Measurement models of cognitive social capital and structural social capital were established. Measurement invariance was established across different socioeconomic groups. Additionally, socioeconomic status significantly moderated the association between social capital and depressive symptoms. The association between cognitive social capital and depressive symptoms was statistically significant among respondents with relatively low incomes and high levels of education, whereas the association between structural social capital and depressive symptoms was significant only among those with relatively high incomes.

CONCLUSION

Future social capital policies and interventions should adopt different strategies to provide services to older adults from different socioeconomic backgrounds. Furthermore, educational programs should promote the effects of cognitive social capital on depressive symptoms later in life.

The Effects of Urban Green Space on Depressive Symptoms of Mid-Aged and Elderly Urban Residents in China: Evidence from the China Health and Retirement Longitudinal Study

The aim of this study is to assess the impacts of urban green space on depressive symptoms among Chinese urban residents aged 45 and older. In total, 7397 urban respondents were included in this study. Each respondent participated in the China Health and Retirement Longitudinal Study Wave 3 (2015). Environmental-level variables were retrieved from the National Bureau of Statistics database. Both unadjusted and adjusted methods were used in the multilevel regression analysis. Almost one-third of the sample population suffered from depressive symptoms (31.20%). The multilevel logistic regression model showed that green coverage ratio of city-built districts is negatively associated with the prevalence of depressive symptoms among urban mid-aged (OR = 0.79, p < 0.05) and elderly (OR = 0.75, p < 0.05) residents, and the public recreational green space helps to reduce elderly people’s depressive symptoms (OR = 0.77, p < 0.05). This study adds insights about the impact of green space and other environmental factors on depressive symptoms among mid-aged and elderly urban dwellers. It is important to provide enough and accessible overall urban green spaces; additionally, attention should also be paid to specific green space forms such as public recreational green space.