a Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , China.
Aging Ment Health. 2019 Oct;23(10):1382-1390. doi: 10.1080/13607863.2018.1488941. Epub 2019 Jan 29.
Population aging is a social and economic concern for China. It is essential to understand types of social support networks available to elderly people living in China. The aim of this research was to identify network types among Chinese older adults and to examine the differential relationship of the network types, health outcomes and health-related behaviors. Secondary analysis of data compiled by the Chinese Longitudinal Healthy Longevity Survey (n = 9749) was extracted. Network types were derived through latent class analysis with Mplus 6.12 software. Statistical analysis included descriptive statistics, one-way ANOVA, multiple logistic regression and path analysis. Four types of social networks were identified, these included private (16%), non-couple-focused (15%), couple-focused (47%) and diverse (22%). Compared with elders belonging to other networks, elders in diverse network possessed the healthiest status and the highest health-related behaviors score. Health-related behaviors played a role in mediating social network types to health outcomes was identified. Findings were aligned to the conceptual model pathway proposed by Berkman ( 2000 ). The findings demonstrate that types of social networks for elders are significantly correlated to health-related behaviors and health outcomes. Detail and understanding of the correlations are useful to inform healthcare practice and policy and to assist the development of appropriate interpersonal interventions.
人口老龄化是中国的一个社会和经济问题。了解中国老年人可获得的社会支持网络类型至关重要。本研究旨在确定中国老年人的网络类型,并探讨网络类型与健康结果和健康相关行为的差异关系。对中国纵向健康长寿调查(n=9749)汇编的数据进行二次分析。通过 Mplus 6.12 软件进行潜在类别分析得出网络类型。统计分析包括描述性统计、单因素方差分析、多因素逻辑回归和路径分析。确定了四种社会网络类型,包括私人(16%)、非夫妻为中心(15%)、夫妻为中心(47%)和多样化(22%)。与属于其他网络的老年人相比,多样化网络中的老年人拥有最健康的状态和最高的健康相关行为得分。发现健康相关行为在中介社会网络类型与健康结果方面发挥作用。研究结果与 Berkman(2000)提出的概念模型途径一致。研究结果表明,老年人的社会网络类型与健康相关行为和健康结果显著相关。详细了解这些相关性对于为医疗保健实践和政策提供信息以及协助制定适当的人际干预措施非常有用。