IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p3023-d764288.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/3023/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/5/3023/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Man Yang & Hao Wang & Jun Yao, 2022. "Relationship between Intergenerational Emotional Support and Subjective Well-Being among Elderly Migrants in China: The Mediating Role of Loneliness and Self-Esteem," IJERPH, MDPI, vol. 19(21), pages 1-10, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Weisong Qiu & Tieqi Wu & Peng Xue, 2022. "Can Mobile Payment Increase Household Income and Mitigate the Lower Income Condition Caused by Health Risks? Evidence from Rural China," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    2. Yingya Yang & Liangliang Zhou & Chongmei Zhang & Xin Luo & Yihan Luo & Wei Wang, 2022. "Public Health Services, Health Human Capital, and Relative Poverty of Rural Families," IJERPH, MDPI, vol. 19(17), pages 1-14, September.
    3. Lingguo Cheng & Hong Liu & Ye Zhang & Zhong Zhao, 2018. "The heterogeneous impact of pension income on elderly living arrangements: evidence from China’s new rural pension scheme," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(1), pages 155-192, January.
    4. Zhengjie Zhang & Jiahao Song & Caixia Yan & Dingde Xu & Wei Wang, 2022. "Rural Household Differentiation and Poverty Vulnerability: An Empirical Analysis Based on the Field Survey in Hubei, China," IJERPH, MDPI, vol. 19(8), pages 1-15, April.
    5. Lijian Wang & Liu Yang & Xiaodong Di & Xiuliang Dai, 2020. "Family Support, Multidimensional Health, and Living Satisfaction among the Elderly: A Case from Shaanxi Province, China," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    6. Mohamed Amara & Hatem Jemmali, 2018. "Deciphering the Relationship Between Internal Migration and Regional Disparities in Tunisia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 313-331, January.
    7. Fang, Feifan & Zhao, Yinyu & Xi, Zemiao & Han, Xinru & Zhu, Yuchun, 2023. "The impact of famine experience on middle-aged and elderly individuals’ food consumption: Evidence from China," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    8. Lei, Xiaoyan & Giles, John & Hu, Yuqing & Park, Albert & Strauss, John & Zhao, Yaohui, 2012. "Patterns and correlates of intergenerational non-time transfers : evidence from CHARLS," Policy Research Working Paper Series 6076, The World Bank.
    9. Yushan Hou & Chang Cai & Houlin Tang & Yichen Jin & Fangfang Chen & Dandan Niu & Fan Lv, 2023. "Sexual Behavior and Perceived Loneliness in Elderly People Living with HIV in China during the COVID-19 Pandemic," IJERPH, MDPI, vol. 20(3), pages 1-8, February.
    10. Hu, Shu & Das, Dhiman, 2019. "Quality of life among older adults in China and India: Does productive engagement help?," Social Science & Medicine, Elsevier, vol. 229(C), pages 144-153.
    11. Giles, John T. & Mu, Ren, 2006. "Elder Parent Health and the Migration Decision of Adult Children: Evidence from Rural China," IZA Discussion Papers 2333, Institute of Labor Economics (IZA).
    12. Akshaya Kumar Panigrahi, 2009. "Determinants of Living Arrangements of Elderly in Orissa: An Analysis," Working Papers 228, Institute for Social and Economic Change, Bangalore.
    13. Guangliang Yang & Lixing Li & Shihe Fu, 2020. "Do rural migrants benefit from labor market agglomeration economies? Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(3), pages 910-931, September.
    14. Yongwang Cao & Xiong He & Chunshan Zhou, 2023. "Characteristics and Influencing Factors of Population Migration under Different Population Agglomeration Patterns—A Case Study of Urban Agglomeration in China," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    15. Yun Liang & John Gibson, 2017. "Do More Grandchildren Lead to Worse Health Status of Grandparents? Evidence from the China Health and Nutrition Survey," Working Papers in Economics 17/18, University of Waikato.
    16. Jia Xu & Makoto Takahashi, 2021. "Progressing vulnerability of the immigrants in an urbanizing village in coastal China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 8012-8026, May.
    17. Lusi Liao & Sasiwimon Warunsiri Paweenawat, 2022. "Alternative boomerang kids, intergenerational co-residence, and maternal labor supply," Review of Economics of the Household, Springer, vol. 20(2), pages 609-634, June.
    18. Jan C. van Ours & Jenny Williams, 2011. "Cannabis use and mental health problems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(7), pages 1137-1156, November.
    19. Timo Mitze & Torben Schmidt, 2015. "Internal migration, regional labor markets and the role of agglomeration economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 61-101, October.
    20. Jiajun He & Xin Fan & Lin Chen & Zirui Huang & Yiming Zhao & Chenzhi Zhang, 2023. "Improving the Livelihood Resilience of Poverty-Stricken Population under Rural Revitalization: A Case Study of Chongqing M Reservoir Area," Sustainability, MDPI, vol. 15(18), pages 1-19, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3023-:d:764288. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.