IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i9p5105-d799660.html
   My bibliography  Save this article

The Association between Trajectories of Loneliness and Physical Frailty in Chinese Older Adults: Does Age Matter?

Author

Listed:
  • Sha Sha

    (School of Sociology and Population Sciences, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Sunny H. W. Chan

    (School of Health and Social Wellbeing, University of the West of England, Bristol BS16 1DD, UK)

  • Lin Chen

    (Belt and Road School, Beijing Normal University at Zhuhai, Zhuhai 519087, China)

  • Yuebin Xu

    (Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University at Zhuhai, Zhuhai 519087, China)

  • Yao Pan

    (School of Social Development and Public Policy, Beijing Normal University, Beijing 100875, China)

Abstract

Background : The present study aimed to examine age differences in the relationship between trajectories of loneliness and physical frailty among Chinese older adults. Methods : A total of 4618 participants aged ≥60 years old were taken from pooled data created from the 2011–2015 China Health and Retirement Longitudinal Study (CHARLS). Loneliness was assessed by a single question from the Centre for Epidemiological Studies scale, whereas physical frailty (PF) was examined by the physical frailty phenotype scale. We characterized trajectories of loneliness and PF using transition types and changes within the survey period. Results : Logistic regression models revealed that baseline loneliness was significantly related to remaining robust PF (OR = 0.55, 95% CI = 0.49–0.63, p < 0.001) and worsening in PF (OR = 1.17, 95% CI = 1.05–1.30, p < 0.01) at follow-up. Baseline PF status was also significantly related to the transitions in loneliness (worsen: OR = 1.41, 95% CI = 1.11–1.78, p < 0.01; improve: OR = 0.65, 95% CI = 0.47–0.91, p < 0.05). The cross-lagged panel model found that baseline PF or loneliness had a significant predictive effect on the changes in each other. The associations between trajectories of loneliness and PF were weakened with age and clustered in the under 75 age groups. Conclusions: Bidirectional associations may exist between trajectories of loneliness and PF among Chinese older adults. Interventions should mainly target the young-old to reduce the adverse reciprocal effects of loneliness and PF.

Suggested Citation

  • Sha Sha & Sunny H. W. Chan & Lin Chen & Yuebin Xu & Yao Pan, 2022. "The Association between Trajectories of Loneliness and Physical Frailty in Chinese Older Adults: Does Age Matter?," IJERPH, MDPI, vol. 19(9), pages 1-12, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5105-:d:799660
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/9/5105/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/9/5105/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoyan Lei & Yuqing Hu & John J. McArdle & James P. Smith & Yaohui Zhao, 2012. "Gender Differences in Cognition among Older Adults in China," Journal of Human Resources, University of Wisconsin Press, vol. 47(4), pages 951-971.
    2. Wang, Ruoxi & Chen, Zhuo & Zhou, Yongjie & Shen, Lining & Zhang, Zhiguo & Wu, Xiang, 2019. "Melancholy or mahjong? Diversity, frequency, type, and rural-urban divide of social participation and depression in middle- and old-aged Chinese: A fixed-effects analysis," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    3. Lei, Xiaoyan & Liu, Hong, 2018. "Gender difference in the impact of retirement on cognitive abilities: Evidence from urban China," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 1425-1446.
    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. Marlies Maes & Pamela Qualter & Gerine M. A. Lodder & Marcus Mund, 2022. "How (Not) to Measure Loneliness: A Review of the Eight Most Commonly Used Scales," IJERPH, MDPI, vol. 19(17), pages 1-37, August.

    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. Elvira NICA & Gheorghe H. POPESCU, 2013. "Gender Differences In Strategy And Human Resource Management," Proceedings of Administration and Public Management International Conference, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(1), pages 113-126, June.
    2. Mattia Filomena & Matteo Picchio, 2023. "Retirement and health outcomes in a meta‐analytical framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1120-1155, September.
    3. Shenglong Liu & Yuanyuan Wan & Xiaoming Zhang, 2024. "Retirement Spillover Effects on Spousal Health in Urban China," Journal of Family and Economic Issues, Springer, vol. 45(3), pages 756-783, September.
    4. Zang, Emma, 2020. "Spillover effects of a husband's retirement on a woman's health: Evidence from urban China," Social Science & Medicine, Elsevier, vol. 245(C).
    5. Mitra, Sophie & Gao, Qin & Chen, Wei & Zhang, Yalu, 2020. "Health, work, and income among middle-aged and older adults: A panel analysis for China," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    6. Li, Hao & Guo, Huanxiu & Huang, Naqun & Ye, Jingjing, 2020. "Health risks of exposure to waste pollution: Evidence from Beijing," China Economic Review, Elsevier, vol. 63(C).
    7. Zhu, Penghu & Lin, Boqiang, 2022. "Do the elderly consume more energy? Evidence from the retirement policy in urban China," Energy Policy, Elsevier, vol. 165(C).
    8. Angrisani, Marco & Lee, Jinkook & Meijer, Erik, 2020. "The gender gap in education and late-life cognition: Evidence from multiple countries and birth cohorts," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    9. Lee, Jinkook & Smith, James P., 2014. "Regional disparities in adult height, educational attainment, and late-life cognition: Findings from the Longitudinal Aging Study in India (LASI)," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 26-34.
    10. Osea Giuntella & Wei Han & Fabrizio Mazzonna, 2017. "Circadian Rhythms, Sleep, and Cognitive Skills: Evidence From an Unsleeping Giant," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1715-1742, October.
    11. Shu, Lei, 2017. "Essays on retirement income provision," Other publications TiSEM e5dd8c4e-03bf-4ec9-9651-b, Tilburg University, School of Economics and Management.
    12. Carlos Díaz-Venegas & Timothy A Reistetter & Rebeca Wong, 2018. "Differences in the Progression of Disability: A U.S.–Mexico Comparison," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 913-922.
    13. Dobrescu, L.I. & Smith, J.P., 2016. "The HRS Around the World Surveys," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 993-1018, Elsevier.
    14. LaFave, Daniel & Thomas, Duncan, 2017. "Height and cognition at work: Labor market productivity in a low income setting," Economics & Human Biology, Elsevier, vol. 25(C), pages 52-64.
    15. Weir, David & Lay, Margaret & Langa, Kenneth, 2014. "Economic development and gender inequality in cognition: A comparison of China and India, and of SAGE and the HRS sister studies," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 114-125.
    16. Rafael Novella & Javier Olivera, 2014. "Mental Retirement and Non-Contributory Pensions for the Elderly Poor in Peru," Working Papers 14, Peruvian Economic Association.
    17. Cheng, Lingguo & Lu, Yunfeng, 2024. "Does retirement make people more risk averse?," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 135-155.
    18. Wang, Tianyu & Sun, Ruochen & Sindelar, Jody L. & Chen, Xi, 2024. "Occupational differences in the effects of retirement on hospitalizations for mental illness among female workers: Evidence from administrative data in China," Economics & Human Biology, Elsevier, vol. 53(C).
    19. Junfeng Jiang & Jiang Song, 2022. "Health Consequences of Online Social Capital among Middle-Aged and Older Adults in China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2277-2297, August.
    20. Yingying Zhang & Steve Bradley & Robert Crouchley, 2023. "Gender Differences in the Effect of Retirement Duration on Cognitive Functioning," Working Papers 379420912, Lancaster University Management School, Economics Department.

    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:9:p:5105-:d:799660. 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.