scholarly journals A COHORT LONGITUDINAL STUDY OF SOCIAL CAPITAL AND DEPRESSIVE SYMPTOMS IN THE WISCONSIN LONGITUDINAL STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S847-S847
Author(s):  
Kyle A Carr
Keyword(s):  
Social Capital ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Sense Of Belonging ◽  
Two Dimensions ◽  
Growing Body ◽  
Wisconsin Longitudinal Study ◽  
Multi Level ◽  
Structural Social Capital ◽  
Level 2

Abstract This study examined the association between the two dimensions of social capital, structural and cognitive, and depression, as well as investigating their within- and between-effects. Using the Wisconsin Longitudinal Study, I applied a multi-level 2-wave longitudinal analysis, over a 7-year period, to examine these two dimensions of social capital influence on individual’s depressive symptoms at both the between- and within person levels. Results suggest both dimensions of social capital are negatively related with levels of depressive symptoms for individuals. The within-person changes for both self-efficacy and sense of belonging were larger than the estimates of between-effects, while trust and structural social capital effects were equal. These findings add to the growing body of literature examining depressive symptoms in late life, while also providing evidence for policymakers to hone in on key areas that can address depressive symptoms with social capital interventions.

scholarly journals Depressive Symptom Profile Transitions From Midlife to Late Life in the Wisconsin Longitudinal Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 369-369
Author(s):  
Kyle Carr
Keyword(s):  
Social Capital ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Public Health Problem ◽  
Late Life ◽  
The United States ◽  
Time Points ◽  
Symptom Profile ◽  
Wisconsin Longitudinal Study ◽  
Structural Social Capital

Abstract Late-life depression is a significant public health problem among the growing elderly population in the United States. Structural social capital has previously been associated with lowering depressive symptoms in later life, but these results have been inconsistent. However, few studies have investigated this association when investigating different subtypes of depression. The current study used data from the Wisconsin Longitudinal Study (WLS) of 3,197 respondents to examine how structural social capital influences baseline depression statuses and transitions in these depression statuses. Latent class and latent transition analysis (LCA/LTA) were used to identify latent statuses at two time points in the WLS – 1992 and 2011 – as well as transitions between those statuses. Four depression statuses were identified at both time points: Very Depressed, Depressed and Lonely, Agitated and Restless, and Not Depressed. Gender, self-rated health, total assets, structural social capital measures, and polygenic score for depression were all predictors of baseline depression statuses. Transitions between depression statuses were associated with two forms of structural social capital – social support and social involvement. These findings add to the increasing number of studies investigating subtypes of depression in older adults as well as to scholars examining the association between structural social capital and depressive symptoms. Results suggest possible social and behavioral factors policymakers can use to identify risk of depression in mid-life and areas of intervention to improve depressive symptoms for aging adults.

scholarly journals Association of Structural Social Capital and Self-Reported Well-Being among Japanese Community-Dwelling Adults: A Longitudinal Study

2021 ◽  
Vol 18 (16) ◽  
pp. 8284
Author(s):  
Kazuya Nogi ◽  
Haruhiko Imamura ◽  
Keiko Asakura ◽  
Yuji Nishiwaki
Keyword(s):  
Social Capital ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Relative Risk ◽  
Local Community ◽  
Well Being ◽  
Adjusted Relative Risk ◽  
Community Activities ◽  
Self Rated Health ◽  
Structural Social Capital

Previous studies have shown both positive and non-positive associations between social capital and health. However, longitudinal evidence examining its comprehensive effects on well-being is still limited. This study examined whether structural social capital in the local community was related to the later well-being of Japanese people aged 40 or above. A 3.6-year longitudinal study was conducted in a rural Japanese town. “Well-being” was measured using three indicators (happiness, self-rated health, and depressive symptoms), and those who were high in well-being in the baseline 2015 survey and responded to the follow-up 2018 survey were analyzed (n = 1032 for happiness, 938 for self-rated health, and 471 for depressive symptoms). Multilevel Poisson regression analysis adjusted for covariates showed that having contact with fewer neighbors was associated with a decline in happiness at both the community level (adjusted relative risk = 1.64, 95% confidence interval = 1.20–1.63) and the individual level (adjusted relative risk = 1.51, 95% confidence interval = 1.05–2.17), but participation in local community activities was not. The results suggest that dense personal networks might be more important in areas with thriving local community activities, not only for individuals but also for all community members.

scholarly journals Impacts of Social Capital Factors on Blood Glucose Control and Depressive Symptoms

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 629-629
Author(s):  
Tingzhong (Michelle) Xue ◽  
Zahra Rahmaty ◽  
Eleanor McConnell ◽  
Yingzhi (Lindsay) Xu ◽  
Kirsten Corazzini
Keyword(s):  
Social Capital ◽  
Depressive Symptoms ◽  
Blood Glucose ◽  
Physical Exercise ◽  
Access To Care ◽  
Glucose Control ◽  
Blood Glucose Control ◽  
Equation Modeling ◽  
Cognitive Social Capital ◽  
Structural Social Capital

Abstract Social capital, conceptualized as resources arising from social networks, is receiving increased attention for its role in prevention and management of chronic conditions such as diabetes and depression that commonly co-occur. Although social capital has been linked to control of blood glucose and depression, previous research has not considered these two outcomes simultaneously while distinguishing between cognitive (i.e., perceived social support, shared values and trust in community) and structural (i.e., social connectedness and participation) domains. This study examined how these two domains of social capital relate to glucose control and depressive symptoms, and whether physical exercise and care access mediate those relationships, using structural equation modeling. The sample included 3,043 older adults aged 57 and above from wave 2 of the National Social Life, Health and Aging Project. Although a higher level of cognitive social capital was associated with higher levels of physical exercise (b=.38, p<.001), access to care (b=.40, p=.007), lower levels of blood glucose (b=-.43, p<.001) and depressive symptoms (b=-.84, p<.001), a higher level of structural social capital was associated only with a higher level of physical exercise (b=.16, p=.002). The mediating effects of physical exercise and access to care were not significant. Findings suggest that cognitive social capital may have greater influence on blood glucose and depressive symptoms than structural social capital, and therefore have different implications for practice, especially in the context of pandemic-related disruptions to social capital. Future research should examine other mediators and investigate how promotion of cognitive social capital might improve health outcomes.

scholarly journals Social Capital and Mental Health among Older Adults Living in Urban China in the Context of COVID-19 Pandemic

2020 ◽  
Vol 17 (21) ◽  
pp. 7947 ◽  
Author(s):  
Qian Sun ◽  
Nan Lu
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Social Capital ◽  
Life Satisfaction ◽  
Depressive Symptoms ◽  
Urban China ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Cognitive Social Capital ◽  
Structural Social Capital

Although social capital has been found to be an important social determinant of mental health in later life, research on social capital in the context of COVID-19 and the interplay among subdimensions of social capital is lacking. The present study examined the mediating role of cognitive social capital on the relationship between structural social capital and mental health among older adults in urban China in the context of the COVID-19 pandemic. Data were collected from the Yangpu district in Shanghai, China, in July–August 2020. A quota sampling approach was used to recruit 472 respondents aged 60 years and older from 23 communities in the Yangpu district. Mental health was measured by depressive symptoms and life satisfaction. Cognitive social capital was assessed through trust and reciprocity, and structural social capital was assessed through organization memberships, and COVID-19 related volunteering and citizenship activity. Structural equation modeling was used to test the mediation model. The results show that cognitive social capital had a full mediation effect on the association between structural social capital and mental health indicators (life satisfaction: b = 0.122, SD = 0.029, p < 0.001; depressive symptoms: b = −0.343, SD = 0.119, p < 0.01). The findings indicate that social capital can play an important role in sustaining and improving mental health in the context of the COVID-19 pandemic. Policy and intervention implications are discussed.

scholarly journals Internet Use and Depressive Symptoms Among Chinese Older Adults: The Mediation and Suppression Effects of Social Capital

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhiyi Li ◽  
Mengyao Yang
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Social Capital ◽  
Depressive Symptoms ◽  
Adult Children ◽  
Internet Use ◽  
Least Square ◽  
Equation Modeling ◽  
Cognitive Social Capital ◽  
Structural Social Capital

Exploring the social factors of mental health among older adults has become a hot topic. This study aimed to examine the relationships between internet use, social capital and depressive symptoms in older adults. Our data were derived from a sample of 6,840 respondents aged 60 and over in the 2018 wave of the China Family Panel Studies. The ordinary least square (OLS) regression results showed that both Internet use characteristics (including access, emotional activities, and online time) and social capital components (including contact with adult children and trust) were protective factors for the prevention of depressive symptoms among older adults. The generalized structural equation modeling (GSEM) results displayed that Internet use not only had a negatively direct effect on depressive symptoms, but also generated a negatively indirect effect on depressive symptoms by structural social capital (i.e., contact with adult children), suggesting that structural social capital mediated the above link. Conversely, the indirect effects of internet use on depressive symptoms via cognitive social capital (i.e., interpersonal trust and institutional trust) were significantly positive, indicating that the relationship between Internet use and depressive symptoms was suppressed by cognitive social capital. These findings address the gaps in previous research on older adults' mental health and have practical implications for policy makers.

Social capital, perceived neighborhood environment, and depressive symptoms among older adults in rural China: the role of self-rated health

2021 ◽  
pp. 1-11
Author(s):  
Nan Lu ◽  
Bei Wu ◽  
Yaolin Pei ◽  
Changmin Peng
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Depressive Symptoms ◽  
Rural China ◽  
Neighborhood Environment ◽  
Equation Modeling ◽  
Self Rated Health ◽  
Cognitive Social Capital ◽  
Structural Social Capital ◽  
Perceived Neighborhood Environment

ABSTRACT Objectives: This study examined the relationships between social capital, perceived neighborhood environment, and depressive symptoms among older adults living in rural China, and the moderating effect of self-rated health (SRH) in these relationships. Participants: A quota sampling method was applied to recruit 447 participants aged 60 years and older in rural communities in Jilin province, China in 2019. Measurements: Depressive symptoms were measured by the Center for Epidemiologic Studies Depression Scale. Structural equation modeling was used to build latent constructs of social capital and test the proposed model. Multiple group analysis was used to test the moderation effects. Results: Cognitive social capital and structural social capital were both associated with depressive symptoms controlling for participants’ demographics, socioeconomic status, and health status. After adding perceived environment variables in the model, the relationship between cognitive social capital and depressive symptoms became nonsignificant, while structural social capital remained became a significant factor (β = −.168, p < .01). Satisfaction with health care was significantly associated with depressive symptoms among those with poor SRH (β = −.272, p < .01), whereas satisfaction with security and transportation were strongly associated with depressive symptoms among those with good SRH (security: β = −.148, p < .01; transportation: β = −.174, p < .01). Conclusions: Study findings highlighted the importance of social capital and neighborhood environment as potential protective factors of depressive symptoms in later life. Policy and intervention implications were also discussed.

Does community-level social capital mitigate the impact of widowhood & living alone on depressive symptoms?: A prospective, multi-level study

2020 ◽  
Vol 259 ◽  
pp. 113140 ◽  
Author(s):  
Atsushi Nakagomi ◽  
Koichiro Shiba ◽  
Masamichi Hanazato ◽  
Katsunori Kondo ◽  
Ichiro Kawachi
Keyword(s):  
Social Capital ◽  
Depressive Symptoms ◽  
Community Level ◽  
Living Alone ◽  
Multi Level ◽  
The Impact
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