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Social Network Types and Health among Older Adults in Rural China: The Mediating Role of Social Support

机译:社会网络类型与中国农村老年人健康:社会支持的中介作用

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摘要

This study aimed to identify social network types among older adults in rural China, to explore the relationship between social network types and the health of the older adults, and further, to examine the mediating role of social support in this relationship. A cross-sectional survey method was employed to investigate the health of adults aged 60 or older in rural areas of Hubei Province from 5 September 2018 to 15 October 2018; 405 samples were obtained. First, using k-means clustering analysis, we found five robust network types: diverse, restricted, family, friends and a specific type—family-restricted. Second, the results of multiple linear regression analysis showed that social network types were significantly associated with depressive symptoms and self-rated health in older adults. Older people with diverse friend networks were significantly associated with lower levels of depressive symptoms, whereas those with restricted and family-restricted networks were significantly associated with higher levels of depressive symptoms and lower levels of self-rated health. Finally, the results of multiple linear regression analysis confirmed that social support partially mediated the association of the identified social network types with depressive symptoms and self-rated health. Enriching the social network relationships of older adults and providing them with more social support should be conducive to promoting their mental and physical health.
机译:本研究旨在确定中国农村老年人的社交网络类型,探讨社交网络类型与老年人健康之间的关系,并进一步探讨社会支持在这种关系中的中介作用。 2018年9月5日至2018年10月15日,采用横断面调查法调查湖北省农村地区60岁以上成年人的健康状况;获得405个样品。首先,使用k均值聚类分析,我们发现了五种健壮的网络类型:多样化,受限制的,家庭,朋友和特定类型(受家庭限制)。其次,多元线性回归分析的结果表明,社交网络类型与老年人的抑郁症状和自我评估的健康状况显着相关。拥有多种朋友网络的老年人与较低的抑郁症状显着相关,而网络受限和家庭受限的老年人与较高的抑郁症状和较低的自我评价水平显着相关。最后,多元线性回归分析的结果证实,社会支持部分地介导了所识别的社交网络类型与抑郁症状和自我评估的健康状况的关联。丰富老年人的社交网络关系,并为他们提供更多的社会支持,应有助于促进他们的身心健康。

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