Lim Jun Tae, Park Jong-Heon, Lee Jin-Seok, Oh Juhwan, Kim Yoon
Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.
J Prev Med Public Health. 2013 Jan;46(1):28-38. doi: 10.3961/jpmph.2013.46.1.28. Epub 2013 Jan 31.
This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL.
This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis.
The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was B(T)=2.96, that of the LSNS-R family frequency factor was B(T)=3.60, and that of LSNS-R friends factor was B(T)=5.41.
Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.
本研究旨在通过观察老年人社交网络与健康相关生活质量（HRQoL）之间的关系，并分析影响HRQoL的社交网络因素，收集有助于加强社交网络并改善老年人生活质量的信息。
本研究基于2008年涟川郡社区健康调查。研究人群包括300名老年人。我们根据人口统计学特征和慢性病患病率比较了修订后的鲁本社交网络量表（LSNS-R）得分和欧洲五维健康状况指数。我们将HRQoL作为因变量，社交网络及其他特征作为自变量，使用多元回归和托比特回归分析数据。我们通过因子分析来分析社交网络因素。
LSNS-R得分根据年龄和配偶的存在情况有显著差异。根据分层多元回归分析结果，LSNS-R解释了0.10的方差，LSNS-R朋友因子解释了0.10的方差。托比特回归表明，LSNS-R家庭规模因子对影响HRQoL的自变量回归系数的贡献为B(T)=2.96，LSNS-R家庭频率因子为B(T)=3.60，LSNS-R朋友因子为B(T)=5.41。
老年人的社交网络对HRQoL有显著影响，其朋友网络的影响相对高于家庭成员。
