IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0262808.html
   My bibliography  Save this article

Socioeconomic status and ADL disability of the older adults: Cumulative health effects, social outcomes and impact mechanisms

Author

Listed:
  • Huan Liu
  • Meng Wang

Abstract

Introduction: Socioeconomic status (SES) is one of the important indicators affecting individual’s social participation and resource allocation, and it also plays an important role in the health shock of individuals. Faced by the trend of aging society, more and more nations across the world began to pay attention to prevent the risk of health shock of old adults. Methods: Based on the data of China Health and Retirement Longitudinal Study (CHARLS) in 2013, 2015 and 2018, this study uses path analysis and ologit model to empirically estimate the effects of SES and health shock on the activities of daily living (ADL) disability of old adults. Results: As a result, first, it was found that SES has significant impact on the disability of old adults. Specifically, economic conditions (income) plays dominant role. Economic status affects the risk of individual disability mainly through life security and health behavior. Secondly, SES significantly affecting health shock, with education and economic status showing remarkable impact, and there is an apparent group inequality. Furthermore, taking high education group as reference, the probability of good sight or hearing ability of the low education group was only 49.76% and 63.29% of the high education group, respectively, while the rates of no pain and severe illness were 155.50% and 54.69% of the high education group. At last, the estimation of path effect of SES on ADL disability indicates evident group inequality, with health shock plays critical mediating role. Conclusions: SES is an important factor influencing residents’ health shock, and health shocks like cerebral thrombosis and cerebral hemorrhage will indirectly lead to the risk of individual ADL disability. Furthermore, among the multi-dimensional indicators of SES, individual income and education are predominant factors affecting health shock and ADL disability, while occupation of pre-retirement have little impact.

Suggested Citation

  • Huan Liu & Meng Wang, 2022. "Socioeconomic status and ADL disability of the older adults: Cumulative health effects, social outcomes and impact mechanisms," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-20, February.
  • Handle: RePEc:plo:pone00:0262808
    DOI: 10.1371/journal.pone.0262808
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0262808
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0262808&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0262808?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Huan Liu, 2021. "Formal and Informal Care: Complementary or Substitutes in Care for Elderly People? Empirical Evidence From China," SAGE Open, , vol. 11(2), pages 21582440211, May.
    2. Martin Siegel & Andreas Mielck & Werner Maier, 2015. "Individual Income, Area Deprivation, and Health: Do Income‐Related Health Inequalities Vary by Small Area Deprivation?," Health Economics, John Wiley & Sons, Ltd., vol. 24(11), pages 1523-1530, November.
    3. Sirven, Nicolas & Debrand, Thierry, 2012. "Social capital and health of older Europeans: Causal pathways and health inequalities," Social Science & Medicine, Elsevier, vol. 75(7), pages 1288-1295.
    Full references (including those not matched with items on IDEAS)

    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. Alaimo, Leonardo Salvatore & Ivaldi, Enrico & Landi, Stefano & Maggino, Filomena, 2022. "Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    2. Pulok, Mohammad Habibullah & van Gool, Kees & Hall, Jane, 2020. "Horizontal inequity in the utilisation of healthcare services in Australia," Health Policy, Elsevier, vol. 124(11), pages 1263-1271.
    3. Alexander Silbersdorff & Kai Sebastian Schneider, 2019. "Distributional Regression Techniques in Socioeconomic Research on the Inequality of Health with an Application on the Relationship between Mental Health and Income," IJERPH, MDPI, vol. 16(20), pages 1-28, October.
    4. Danny Wende, 2019. "Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1079-1091, September.
    5. Jin Liu & Scott Rozelle & Qing Xu & Ning Yu & Tianshu Zhou, 2019. "Social Engagement and Elderly Health in China: Evidence from the China Health and Retirement Longitudinal Survey (CHARLS)," IJERPH, MDPI, vol. 16(2), pages 1-16, January.
    6. Xindong Xue & W. Robert Reed, 2015. "The Relationship Between Social Capital And Health In China," Working Papers in Economics 15/05, University of Canterbury, Department of Economics and Finance.
    7. Nicolas Sirven, 2012. "On the Socio-Economic Determinants of Frailty: Findings from Panel and Retrospective Data from SHARE," Working Papers DT52, IRDES institut for research and information in health economics, revised Dec 2012.
    8. Arrighi, Y. & Rapp, T. & Sirven, N., 2017. "The impact of economic conditions on the disablement process: A Markov transition approach using SHARE data," Health Policy, Elsevier, vol. 121(7), pages 778-785.
    9. Brenda Gannon & Jennifer Roberts, 2012. "Social Capital: Bridging the Theory and Empirical Divide," Working Papers 2012028, The University of Sheffield, Department of Economics.
    10. Nübler, Laura & Busse, Reinhard & Siegel, Martin, 2022. "The role of consumer choice in out-of-pocket spending on health: A mixed-methods approach," EconStor Preprints 260395, ZBW - Leibniz Information Centre for Economics.
    11. Jon Fairburn & Werner Maier & Matthias Braubach, 2016. "Incorporating Environmental Justice into Second Generation Indices of Multiple Deprivation: Lessons from the UK and Progress Internationally," IJERPH, MDPI, vol. 13(8), pages 1-14, July.
    12. Lebenbaum, Michael & Laporte, Audrey & de Oliveira, Claire, 2021. "The effect of mental health on social capital: An instrumental variable analysis," Social Science & Medicine, Elsevier, vol. 272(C).
    13. Knapp, Martin, 2015. "Reflecting on ‘An economic model of social capital and health’," LSE Research Online Documents on Economics 62736, London School of Economics and Political Science, LSE Library.
    14. Brenda Gannon & Jennifer Roberts, 2020. "Social capital: exploring the theory and empirical divide," Empirical Economics, Springer, vol. 58(3), pages 899-919, March.
    15. Anne Laferrere, 2014. "Retired but not Withdrawn: Does Retirement Induce Participation in Social Activities?," Working Papers 2014-36, Center for Research in Economics and Statistics.
    16. Liu, Gordon G. & Xue, Xindong & Yu, Chenxi & Wang, Yafeng, 2016. "How does social capital matter to the health status of older adults? Evidence from the China Health and Retirement Longitudinal Survey," Economics & Human Biology, Elsevier, vol. 22(C), pages 177-189.
    17. Witvorapong, Nopphol, 2018. "Healthy behaviours and productive activities among Thai older adults: A repeated cross-sectional analysis," Social Science & Medicine, Elsevier, vol. 213(C), pages 12-19.
    18. Mark Ward & Christine A. McGarrigle & Daniel Carey & Rose Anne Kenny, 2021. "Social Capital and Quality of Life among Urban and Rural Older Adults. Quantitative Findings from the Irish Longitudinal Study on Ageing," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(3), pages 1399-1415, June.
    19. Brenda Gannon & Jennifer Roberts, 2014. "The Multidimensional Nature of Social Capital: An Empirical Investigation for Older People in Europe," Working Papers 2014014, The University of Sheffield, Department of Economics.
    20. Siegel, Martin & Koller, Daniela & Vogt, Verena & Sundmacher, Leonie, 2016. "Developing a composite index of spatial accessibility across different health care sectors: A German example," Health Policy, Elsevier, vol. 120(2), pages 205-212.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0262808. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.