Soto Sandra, Arredondo Elva M, Villodas Miguel T, Elder John P, Quintanar Elena, Madanat Hala
San Diego Joint Doctoral Program in Public Health (Health Behavior), San Diego State University/University of California, 9245 Sky Park Court, Suite 221, San Diego, CA, 92123-4311, USA.
Institute for Behavioral and Community Health, San Diego, CA, USA.
J Immigr Minor Health. 2016 Dec;18(6):1292-1300. doi: 10.1007/s10903-016-0378-2.
The purpose of this study was to examine the "buffering hypothesis" of social network characteristics in the association between chronic conditions and depression among Latinos. Cross-sectional self-report data from the San Diego Prevention Research Center's community survey of Latinos were used (n = 393). Separate multiple logistic regression models tested the role of chronic conditions and social network characteristics in the likelihood of moderate-to-severe depressive symptoms. Having a greater proportion of the network comprised of friends increased the likelihood of depression among those with high cholesterol. Having a greater proportion of women in the social network was directly related to the increased likelihood of depression, regardless of the presence of chronic health conditions. Findings suggest that network characteristics may play a role in the link between chronic conditions and depression among Latinos. Future research should explore strategies targeting the social networks of Latinos to improve health outcomes.
本研究的目的是检验拉丁裔人群慢性病与抑郁症之间关联中社交网络特征的“缓冲假说”。使用了圣地亚哥预防研究中心对拉丁裔人群进行社区调查的横断面自我报告数据（n = 393）。分别采用多元逻辑回归模型来检验慢性病和社交网络特征在中重度抑郁症状发生可能性方面的作用。在高胆固醇人群中，社交网络中朋友所占比例越大，患抑郁症的可能性越高。社交网络中女性比例越高，患抑郁症的可能性直接增加，无论是否存在慢性健康状况。研究结果表明，社交网络特征可能在拉丁裔人群慢性病与抑郁症之间的联系中发挥作用。未来的研究应探索针对拉丁裔社交网络的策略，以改善健康结果。
