Moderating Effects of Community Social Capital on Depression in Later Years of Life: A Latent Interaction Model

Clinical Gerontologist
Sok AnSharon Lee

Abstract

This study tested the stress-buffering model and examined the buffering role of community social capital on late-life depression. This study used the data from the second wave of National Social Life, Health, and Aging Project (NSHAP, 2010-2012). In the present study, a total of 2,362 older adults aged 65 and older (Mage = 74.5, SD = 6.69) were included. Latent moderated structural equations model was tested by comparing the main effect model and interaction model. Depression, stress, and community social capital were constructed as latent variables for the analyses. The main effect model was acceptable: χ2 (df = 334) = 1596.4, p = .000; RMSEA = .04 (.038 - .042); CFI = .91; and SRMR = .05. And interaction model was significant (D = 35.0, p < .001). The latent constructs of stress (β = . 50, p < .001) and community social capital (β = -.14, p < .001) not only had a direct effect on depression, but their interaction was also significant (β = -.21, p < .01).). The group with a high level of social capital presented a relatively stable slope in the prediction of stress on depression, suggesting their resilience, while the group with a low level of community social capital demonstrated a steep slope, indicating heighten vulnerabili...Continue Reading

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Citations

Jan 31, 2019·Clinical Gerontologist·Jennifer Moye
Jan 14, 2021·Journal of Medical Internet Research·Juwon HwangMarie-Louise Mares
Jan 1, 2019·Current Behavioral Neuroscience Reports·Sara L WeisenbachVincent Koppelmans
Jul 3, 2021·International Journal of Environmental Research and Public Health·Saju Madavanakadu DevassyKiran Thampi
Nov 25, 2021·International Journal of Geriatric Psychiatry·Jon BarrenetxeaWoon-Puay Koh

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