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韩国老年人的社交网络类型:与主观健康的关联。

Social network types among older Korean adults: Associations with subjective health.

作者信息

Sohn Sung Yun, Joo Won-Tak, Kim Woo Jung, Kim Se Joo, Youm Yoosik, Kim Hyeon Chang, Park Yeong-Ran, Lee Eun

机构信息

Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, South Korea.

Department of Sociology, University of Wisconsin-Madison College, 1180 Observatory Drive, Madison, WI 53706, USA.

出版信息

Soc Sci Med. 2017 Jan;173:88-95. doi: 10.1016/j.socscimed.2016.11.042. Epub 2016 Dec 1.

Abstract

With population aging now a global phenomenon, the health of older adults is becoming an increasingly important issue. Because the Korean population is aging at an unprecedented rate, preparing for public health problems associated with old age is particularly salient in this country. As the physical and mental health of older adults is related to their social relationships, investigating the social networks of older adults and their relationship to health status is important for establishing public health policies. The aims of this study were to identify social network types among older adults in South Korea and to examine the relationship of these social network types with self-rated health and depression. Data from the Korean Social Life, Health, and Aging Project were analyzed. Model-based clustering using finite normal mixture modeling was conducted to identify the social network types based on ten criterion variables of social relationships and activities: marital status, number of children, number of close relatives, number of friends, frequency of attendance at religious services, attendance at organized group meetings, in-degree centrality, out-degree centrality, closeness centrality, and betweenness centrality. Multivariate regression analysis was conducted to examine associations between the identified social network types and self-rated health and depression. The model-based clustering analysis revealed that social networks clustered into five types: diverse, family, congregant, congregant-restricted, and restricted. Diverse or family social network types were significantly associated with more favorable subjective mental health, whereas the restricted network type was significantly associated with poorer ratings of mental and physical health. In addition, our analysis identified unique social network types related to religious activities. In summary, we developed a comprehensive social network typology for older Korean adults.

摘要

随着人口老龄化如今已成为一种全球现象,老年人的健康正成为一个日益重要的问题。由于韩国人口正在以前所未有的速度老龄化,应对与老年相关的公共卫生问题在该国尤为突出。鉴于老年人的身心健康与其社会关系相关,调查老年人的社会网络及其与健康状况的关系对于制定公共卫生政策至关重要。本研究的目的是确定韩国老年人中的社会网络类型,并检验这些社会网络类型与自评健康和抑郁之间的关系。对韩国社会生活、健康与老龄化项目的数据进行了分析。使用有限正态混合模型进行基于模型的聚类,以根据社会关系和活动的十个标准变量确定社会网络类型:婚姻状况、子女数量、近亲数量、朋友数量、参加宗教仪式的频率、参加有组织的团体会议的情况、入度中心性、出度中心性、接近中心性和中介中心性。进行多元回归分析以检验所确定的社会网络类型与自评健康和抑郁之间的关联。基于模型的聚类分析表明,社会网络聚为五种类型:多样型、家庭型、会众型、受限会众型和受限型。多样型或家庭型社会网络类型与更有利的主观心理健康显著相关,而受限型网络类型与较差的身心健康评分显著相关。此外,我们的分析确定了与宗教活动相关的独特社会网络类型。总之,我们为韩国老年人开发了一种全面的社会网络类型学。

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