Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou 310058, China.
Int J Environ Res Public Health. 2021 Mar 9;18(5):2754. doi: 10.3390/ijerph18052754.
The prevalence of dependency personality disorder is high among elderly individuals with a low level of social support. The objective of this study was to explore the dependency associated with important community resources among elderly individuals with a low level of social support from the perspective of resource demand. The population-based cross-sectional study was conducted in 22 locations in China. A total of 950 participants aged ≥60 years were selected using a complex multistage sampling design. All the data were collected using questionnaires via face-to-face interviews. The dependency was assessed using the standardized Chinese version of the Minnesota Multiphasic Personality Inventory-II. Community resources were assessed using 43 items. Logistic regression analysis was used to evaluate the association between dependency and important community resources. Bivariate analysis showed that the level of social support was negatively associated with levels of income ( < 0.001) and education ( = 0.008) and was positively associated with social communication and interactions ( < 0.001). The logistic regression analysis showed that the emergency call or survival monitoring system (ECSMS) was the most important community resource that was significantly associated with the levels of dependency; the odds ratio was 2.64 (95% CI, 1.07-3.91; = 0.031) among elderly individuals with a low level of social support. The levels of dependency were most significantly associated with the ECSMS among elderly individuals with a low level of social support. Our results suggest that improving the ECSMS can be the main problem in the development of community resources.
低社会支持老年人中依赖型人格障碍的患病率较高。本研究旨在从资源需求的角度探讨低社会支持老年人与重要社区资源相关的依赖。该基于人群的横断面研究在中国 22 个地点进行。采用复杂的多阶段抽样设计,共选择了 950 名年龄≥60 岁的参与者。所有数据均通过面对面访谈使用问卷收集。使用标准化的明尼苏达多相人格测验-II 中文版评估依赖程度。使用 43 项评估社区资源。使用逻辑回归分析评估依赖与重要社区资源之间的关联。
单因素分析显示,社会支持水平与收入水平(<0.001)和教育水平(=0.008)呈负相关,与社会交往呈正相关(<0.001)。逻辑回归分析显示,紧急呼叫或生存监测系统(ECSMS)是与依赖程度最显著相关的最重要社区资源;社会支持水平低的老年人的比值比为 2.64(95%CI,1.07-3.91;=0.031)。
在低社会支持的老年人中,依赖程度与 ECSMS 的相关性最显著。我们的研究结果表明,改善 ECSMS 可以成为社区资源发展的主要问题。