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The Influence of Disease Status on Loneliness of the Elderly: Evidence from Rural China

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  • Jiahao Song

    (Department of Rural and Regional Development, College of Management, Sichuan Agricultural University, 211 Huimin Rd, Chengdu 130062, China)

  • Haitao Wu

    (Department of Agricultural Economics and Management, School of Business Administration, Zhongnan University of Economics and Law, 182 Nanhu Rd, Wuhan 430073, China)

  • Hongxing Lan

    (Sichuan Center for Rural Development Research, College of Management, Sichuan Agricultural University, 211 Huimin Rd, Chengdu 130062, China)

  • Dingde Xu

    (Sichuan Center for Rural Development Research, College of Management, Sichuan Agricultural University, 211 Huimin Rd, Chengdu 130062, China)

  • Wei Wang

    (Department of Agriculture and Forestry Economics and Management, College of Management, Sichuan Agricultural University, 211 Huimin Rd, Chengdu 130062, China)

Abstract

At present, the dual pressure of rural labor outflow and population aging in China makes the problems of the rural elderly population increasingly prominent, and its health problem is particularly prominent. Based on the 2014 China elderly population health survey data (CLHLS), this paper finds that the physical health status of the rural elderly has a significant positive impact on their loneliness; that is, the rural elderly with poor health status are more likely to feel lonely. At the same time, the age of the elderly has a significant positive impact on their loneliness. On the contrary, gender, personality, family income and intergenerational support of the elderly have a negative impact on their loneliness. Chronic diseases such as hypertension and diabetes have no significant effect on the loneliness of the elderly in rural areas, but there is a “severe disease effect”; that is, when chronic diseases develop into serious diseases or acute serious diseases, it can negatively impact the elderly psychologically and produce or deepen their sense of loneliness. Based on the above conclusions, this paper further puts forward relevant policy suggestions from three aspects: constructing a disease prevention and control system for the rural elderly, improving the care and service system for the rural elderly, reshaping rural filial piety culture, and creating a good atmosphere of “respecting, loving and respecting parents” in rural areas.

Suggested Citation

  • Jiahao Song & Haitao Wu & Hongxing Lan & Dingde Xu & Wei Wang, 2022. "The Influence of Disease Status on Loneliness of the Elderly: Evidence from Rural China," IJERPH, MDPI, vol. 19(5), pages 1-16, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3023-:d:764288
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    References listed on IDEAS

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    1. Wei Wang & Chongmei Zhang & Yan Guo & Dingde Xu, 2021. "Impact of Environmental and Health Risks on Rural Households’ Sustainable Livelihoods: Evidence from China," IJERPH, MDPI, vol. 18(20), pages 1-15, October.
    2. Fu, Yuming & Gabriel, Stuart A., 2012. "Labor migration, human capital agglomeration and regional development in China," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 473-484.
    3. Fuqin Bian & John Logan & Yanjie Bian, 1998. "Intergenerational relations in urban China: Proximity, contact, and help to parents," Demography, Springer;Population Association of America (PAA), vol. 35(1), pages 115-124, February.
    4. Zhou Yang & Donna B. Gilleskie & Edward C. Norton, 2009. "Health Insurance, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    5. Liu, Chang & Yi, Fujin & Xu, Zhigang & Tian, Xu, 2021. "Do living arrangements matter?—Evidence from eating behaviors of the elderly in rural China," The Journal of the Economics of Ageing, Elsevier, vol. 19(C).
    6. Jiao Zhang & Lingzhong Xu & Jiajia Li & Long Sun & Gan Ding & Wenzhe Qin & Qian Wang & Jing Zhu & Zihang Yu & Su Xie, 2018. "Loneliness and Health Service Utilization among the Rural Elderly in Shandong, China: A Cross-Sectional Study," IJERPH, MDPI, vol. 15(7), pages 1-11, July.
    7. Anja Steinbach & Katharina Mahne & Daniela Klaus & Karsten Hank & Deborah Carr, 2020. "Stability and Change in Intergenerational Family Relations Across Two Decades: Findings From the German Ageing Survey, 1996–2014," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 75(4), pages 899-906.
    8. Wei Wang & Xin Luo & Chongmei Zhang & Jiahao Song & Dingde Xu, 2021. "Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    9. Giles, John & Wang, Dewen & Zhao, Changbao, 2010. "Can China's rural elderly count on support from adult children ? implications of rural-to-urban migration," Policy Research Working Paper Series 5510, The World Bank.
    10. Beere, Paul & Keeling, Sally & Jamieson, Hamish, 2019. "Ageing, loneliness, and the geographic distribution of New Zealand's interRAI-HC cohort," Social Science & Medicine, Elsevier, vol. 227(C), pages 84-92.
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