Liu Pi-Ju, Wood Stacey, Xi Patricia, Berger Dale E, Wilber Kathleen
Institute for Health and Aging, University of California, San Francisco.
Psychology Department, Scripps College, Claremont, California.
Innov Aging. 2017 Sep 18;1(1):igx016. doi: 10.1093/geroni/igx016. eCollection 2017 Mar 1.
Social support is known to be an important protective factor against elder financial exploitation (FE), yet few empirical studies have examined the relationship between FE and distinct components of social support. Perceived social support, social network size, and interactions with close network members (positive and negative) were measured separately and tested as potential predictors of FE.
Three hundred and ninety-five community-dwelling adults aged 60 and older were recruited to complete a 90-minute survey and interview. We used OLS regression to examine the role of social support in FE. Other risk factors associated with FE including dependency, poor physical health, depression, cognition, and demographic characteristics were included as potential predictors.
Negative interactions with close network members predicted FE, and remained predictive when all other variables and social support factors were included in the model. Other social support factors were not unique predictors of FE.
Negative social interactions with close network members are important to assess and consider in FE prevention and intervention programs; relationships between social interactions and other risk factors warrant further attention.
社会支持是预防老年人经济剥削（FE）的重要保护因素，但很少有实证研究探讨FE与社会支持不同组成部分之间的关系。分别测量了感知到的社会支持、社交网络规模以及与亲密网络成员的互动（积极和消极），并将其作为FE的潜在预测因素进行检验。
招募了395名60岁及以上的社区居住成年人，完成一项90分钟的调查和访谈。我们使用OLS回归来检验社会支持在FE中的作用。与FE相关的其他风险因素，包括依赖性、身体健康差、抑郁、认知和人口统计学特征，被作为潜在预测因素纳入。
与亲密网络成员的消极互动可预测FE，当模型中纳入所有其他变量和社会支持因素时，该因素仍具有预测性。其他社会支持因素并非FE的独特预测因素。
在FE预防和干预项目中，评估和考虑与亲密网络成员的消极社会互动很重要；社会互动与其他风险因素之间的关系值得进一步关注。
