a Department of Agricultural and Rural Policy Research , Korea Rural Economic Institute , Naju , South Korea.
b Department of Social Work , The University of Texas at El Paso , El Paso , Texas , USA.
Clin Gerontol. 2019 Jan-Feb;42(1):70-79. doi: 10.1080/07317115.2018.1516263. Epub 2018 Sep 20.
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: χ (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 vulnerability to depression when faced with stress.
The findings support the hypothesis of stress buffering model and identify the protective effects of community social capital on depression of older adults.
Older adults with lower community social capital are particularly vulnerable to depression. The results highlight that practitioners and policymakers should pay more attention to finding ways to enhance community resources to improve older adults' mental health.
本研究检验了压力缓冲模型，并探讨了社区社会资本对老年人抑郁的缓冲作用。
本研究使用了国家社会生活、健康和老龄化项目（NSHAP）第二波数据（2010-2012 年）。本研究共纳入了 2362 名 65 岁及以上的老年人（Mage=74.5，SD=6.69）。通过比较主效应模型和交互模型，检验了潜在调节结构方程模型。抑郁、压力和社区社会资本被构建为分析的潜在变量。
主效应模型是可以接受的：χ（df=334）=1596.4，p=0.000；RMSEA=0.04（0.038-0.042）；CFI=0.91；SRMR=0.05。交互模型是显著的（D=35.0，p<0.001）。压力（β=0.50，p<0.001）和社区社会资本（β=-0.14，p<0.001）的潜在结构不仅对抑郁有直接影响，而且它们的交互作用也很显著（β=-0.21，p<0.01）。）。社会资本水平较高的群体在压力对抑郁的预测中表现出相对稳定的斜率，表明他们具有韧性，而社会资本水平较低的群体则表现出陡峭的斜率，表明在面临压力时，他们更容易患上抑郁症。
研究结果支持压力缓冲模型的假设，并确定了社区社会资本对老年人抑郁的保护作用。
社区社会资本较低的老年人尤其容易患抑郁症。研究结果强调，从业者和政策制定者应更加关注寻找增强社区资源的方法，以改善老年人的心理健康。
