IDEAS home Printed from https://ideas.repec.org/a/spr/eujoag/v19y2022i4d10.1007_s10433-022-00746-7.html
   My bibliography  Save this article

Childhood experiences and frailty trajectory among middle-aged and older adults in China

Author

Listed:
  • Yuqi Yan

    (Renmin University of China)

  • Liqing Cai

    (Renmin University of China)

  • Nan Lu

    (Renmin University of China)

Abstract

This study examined the associations between childhood experiences and frailty trajectory among middle-aged and older Chinese adults. Data were derived from the China Health and Retirement Longitudinal Study. We used data from all four waves (i.e., 2011, 2013, 2015, 2018) and the life history survey in 2014. Data for 10,963 respondents were included. Latent growth curve models were conducted to examine the proposed model. The results show that adverse childhood experiences, self-rated childhood socioeconomic status, and the objective indicators of childhood health and health care were associated with both the baseline level and change rate of frailty. The educational attainment of fathers and perceived childhood health and healthcare conditions were associated with baseline frailty only. Our findings highlight the crucial role of childhood antecedents in the progression of frailty in later life. We further found strong evidence that childhood is an essential life stage for human development. Future social policies and interventions should use childhood experiences as a screening tool and promote child protection, health education, and life course interventions.

Suggested Citation

  • Yuqi Yan & Liqing Cai & Nan Lu, 2022. "Childhood experiences and frailty trajectory among middle-aged and older adults in China," European Journal of Ageing, Springer, vol. 19(4), pages 1601-1615, December.
  • Handle: RePEc:spr:eujoag:v:19:y:2022:i:4:d:10.1007_s10433-022-00746-7
    DOI: 10.1007/s10433-022-00746-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10433-022-00746-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10433-022-00746-7?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pan, Yao, 2020. "Late-life cognition: Do childhood conditions play any role?," China Economic Review, Elsevier, vol. 63(C).
    2. Dale Dannefer, 2003. "Cumulative Advantage/Disadvantage and the Life Course: Cross-Fertilizing Age and Social Science Theory," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(6), pages 327-337.
    3. Bo Hu, 2021. "Childhood adversity and healthy ageing: a study of the Chinese older population," European Journal of Ageing, Springer, vol. 18(4), pages 523-535, December.
    4. Lei Yang & Zhenbo Wang, 2020. "Early-Life Conditions and Cognitive Function in Middle-and Old-Aged Chinese Adults: A Longitudinal Study," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    5. Qing Wang & Jay J. Shen, 2016. "Childhood Health Status and Adulthood Cardiovascular Disease Morbidity in Rural China: Are They Related?," IJERPH, MDPI, vol. 13(6), pages 1-10, June.
    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. Sun, Nan & Yang, Fan, 2021. "Impacts of internal migration experience on health among middle-aged and older adults—Evidence from China," Social Science & Medicine, Elsevier, vol. 284(C).
    2. Chen, Xi, 2022. "Early Life Circumstances and the Health of Older Adults: A Research Note," GLO Discussion Paper Series 1158, Global Labor Organization (GLO).
    3. Song, Jieun & Mailick, Marsha R. & Greenberg, Jan S., 2018. "Health of parents of individuals with developmental disorders or mental health problems: Impacts of stigma," Social Science & Medicine, Elsevier, vol. 217(C), pages 152-158.
    4. Missinne, Sarah & Colman, Elien & Bracke, Piet, 2013. "Spousal influence on mammography screening: A life course perspective," Social Science & Medicine, Elsevier, vol. 98(C), pages 63-70.
    5. Luo, Ye & Zhang, Zhenmei & Gu, Danan, 2015. "Education and mortality among older adults in China," Social Science & Medicine, Elsevier, vol. 127(C), pages 134-142.
    6. Visser, Mark & Fasang, Anette Eva, 2018. "Educational assortative mating and couples’ linked late-life employment trajectories," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 37, pages 79-90.
    7. Heather M. Rackin, 2017. "Comparing Veteran and Non-veteran Racial Disparities in Mid-life Health and Well-being," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(3), pages 331-356, June.
    8. Maclean, Johanna Catherine & Hill, Terrence D., 2015. "Leaving school in an economic downturn and self-esteem across early and middle adulthood," Labour Economics, Elsevier, vol. 37(C), pages 1-12.
    9. Matthias Pannhorst & Florian Dost, 2022. "A Life-Course View on Ageing Consumers: Old-Age Trajectories and Gender Differences," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 1157-1180, April.
    10. Popova, Daria & Navicke, Jekaterina, 2019. "The probability of poverty for mothers after childbirth and divorce in Europe: the role of social stratification and tax-benefit policies," EUROMOD Working Papers EM11/19, EUROMOD at the Institute for Social and Economic Research.
    11. Wolfe, Barbara & Song, Jieun & Greenberg, Jan S. & Mailick, Marsha R., 2014. "Ripple effects of developmental disabilities and mental illness on nondisabled adult siblings," Social Science & Medicine, Elsevier, vol. 108(C), pages 1-9.
    12. Hideko Matsuo & Koen Matthijs, 2021. "The life course and subjective well-being across generations – an analysis based on cross-national surveys (2002–2016)," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 19(1), pages 417-466.
    13. Joseph L Saenz & Sadaf Arefi Milani & Silvia Mejía-Arango, 2023. "Gender, Personality, and Cognitive Resilience Against Early-Life Disadvantage," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 78(5), pages 913-924.
    14. Charlene H. Chu & Simon Donato-Woodger & Shehroz S. Khan & Rune Nyrup & Kathleen Leslie & Alexandra Lyn & Tianyu Shi & Andria Bianchi & Samira Abbasgholizadeh Rahimi & Amanda Grenier, 2023. "Age-related bias and artificial intelligence: a scoping review," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    15. Miia Bask, 2011. "Cumulative Disadvantage and Connections Between Welfare Problems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(3), pages 443-464, September.
    16. Steven Prus, 2007. "Age, SES, and Health: A Population Level Analysis of Health Inequalities over the Life Course," Social and Economic Dimensions of an Aging Population Research Papers 181, McMaster University.
    17. Björn Halleröd & Miia Bask, 2008. "Accumulation of Welfare Problems in a Longitudinal Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 88(2), pages 311-327, September.
    18. Wiebke Schmitz & L. Naegele & F. Frerichs & L. Ellwardt, 2023. "Gendered late working life trajectories, family history and welfare regimes: evidence from SHARELIFE," European Journal of Ageing, Springer, vol. 20(1), pages 1-15, December.
    19. Murray, Emily T. & Zaninotto, Paola & Fleischmann, Maria & Stafford, Mai & Carr, Ewan & Shelton, Nicola & Stansfeld, Stephen & Kuh, Diana & Head, Jenny, 2019. "Linking local labour market conditions across the life course to retirement age: Pathways of health, employment status, occupational class and educational achievement, using 60 years of the 1946 Briti," Social Science & Medicine, Elsevier, vol. 226(C), pages 113-122.
    20. Sehun Oh & Ian Zapcic & Michael G. Vaughn & Christopher P. Salas-Wright & Yeonwoo Kim, 2021. "Housing Instability and Depression among US Mothers Following a Nonmarital Birth," IJERPH, MDPI, vol. 18(19), pages 1-13, 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:spr:eujoag:v:19:y:2022:i:4:d:10.1007_s10433-022-00746-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.