Literature DB >> 33280230

Internet use and self-rated health among Chinese older adults: The mediating role of social capital.

Shoujun Lyu1,2,3, Jian Sun1.   

Abstract

AIM: This study aimed to examine the relationship between Internet use and self-rated health among older adults in China, with a particular focus on the mediating role of social capital.
METHODS: The data used in this study was obtained from the 2018 wave of China Family Panel Studies, including 7193 older adults aged between 60 and 95 years in urban and rural areas. Furthermore, a binary logit regression model was used to explore the association between Internet use and self-rated health among older adults. Moreover, we investigated the mediating effect of social capital on the relationship between Internet use and self-rated health among older adults.
RESULTS: The overall regression results show that Internet use was significantly associated with a higher possibility of being healthy for older adults. In addition, social capital plays a mediating role in the relationship between Internet use and self-rated health among the older adults.
CONCLUSIONS: This study shows that Internet use was positively related to self-rated health for the older adults. In addition, this study finds that social capital mediates the relationship between Internet use and self-rated health among the older adults. Geriatr Gerontol Int 2020; ••: ••-••.
© 2020 Japan Geriatrics Society.

Keywords:  internet use; logit regression model; older adults; self-rated health; social capital

Year:  2020        PMID: 33280230     DOI: 10.1111/ggi.14090

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


  5 in total

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3.  Social capital and health information seeking in China.

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4.  Can leisure and entertainment lifestyle promote health among older people living alone in China?-A simultaneous equation approach.

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5.  Does Internet Use Impact the Health Status of Middle-Aged and Older Populations? Evidence from China Health and Retirement Longitudinal Study (CHARLS).

Authors:  Liqing Li; Haifeng Ding; Zihan Li
Journal:  Int J Environ Res Public Health       Date:  2022-03-18       Impact factor: 3.390

  5 in total

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