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      Mobile Social Media Use and Trailing Parents’ Life Satisfaction: Social Capital and Social Integration Perspective

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          Abstract

          In recent years, a special group of elderly migrants emerged in some developing countries, namely “trailing parents,” who migrated with adult children in their later years. Lots of developing countries such as China have an increasing number of old people using mobile social media for social interaction, information, and entertainment. Based on social capital theory, we developed a research model and investigated the relationship between mobile social media use (MSMU) and social capital, social integration, and life satisfaction of trailing parents. We completed an empirical study by collecting 244 valid samples. The results show that MSMU has a positive impact on trailing parents’ life satisfaction, and bonding social capital, bridging social capital and social integration are all important predictors of trailing parents’ life satisfaction. Furthermore, social capital and social integration play an important chain mediation role in the relationship between MSMU and trailing parents’ life satisfaction.

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          Most cited references2

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          Report on 2018 China’s migration population development

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            Embodied cultural capital and the study of ethnic inequalities

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              Author and article information

              Contributors
              Journal
              The International Journal of Aging and Human Development
              Int J Aging Hum Dev
              SAGE Publications
              0091-4150
              1541-3535
              February 26 2020
              : 009141502090554
              Affiliations
              [1 ] School of Management, Hefei University of Technology, Hefei, Anhui, China
              [2 ]Wendian College, Anhui University, Hefei, Anhui, China
              Article
              10.1177/0091415020905549
              32098476
              2260b493-d3ac-4be8-b9c1-951e865f0e6a
              © 2020

              http://journals.sagepub.com/page/policies/text-and-data-mining-license

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