IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v364y2025ics0277953624009821.html
   My bibliography  Save this article

Association between childhood life circumstances and chronic diseases in middle-aged and elderly individuals: A population-based retrospective study

Author

Listed:
  • Lu, Liyong
  • Li, Sicheng
  • Chen, Ting
  • Zhang, Wenqiang
  • Gao, TianFu
  • Lan, Tianjiao

Abstract

Previous research has explored the links between later-life health and various childhood conditions, such as socioeconomic status, adverse childhood experiences, and trauma. However, numerous other childhood life circumstances and their relative significance have yet to be examined. This study investigated the association between childhood life circumstance factors and chronic diseases among middle-aged and elderly individuals.

Suggested Citation

  • Lu, Liyong & Li, Sicheng & Chen, Ting & Zhang, Wenqiang & Gao, TianFu & Lan, Tianjiao, 2025. "Association between childhood life circumstances and chronic diseases in middle-aged and elderly individuals: A population-based retrospective study," Social Science & Medicine, Elsevier, vol. 364(C).
  • Handle: RePEc:eee:socmed:v:364:y:2025:i:c:s0277953624009821
    DOI: 10.1016/j.socscimed.2024.117528
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953624009821
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2024.117528?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Hennig, Christian, 2007. "Cluster-wise assessment of cluster stability," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 258-271, September.
    2. Jennifer Montez & Mark Hayward, 2014. "Cumulative Childhood Adversity, Educational Attainment, and Active Life Expectancy Among U.S. Adults," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 413-435, April.
    3. Simon Condliffe & Charles R. Link, 2008. "The Relationship between Economic Status and Child Health: Evidence from the United States," American Economic Review, American Economic Association, vol. 98(4), pages 1605-1618, September.
    4. Hennig, Christian, 2008. "Dissolution point and isolation robustness: Robustness criteria for general cluster analysis methods," Journal of Multivariate Analysis, Elsevier, vol. 99(6), pages 1154-1176, July.
    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. Marta Rocchi & Guglielmo Pescatore, 2022. "Modeling narrative features in TV series: coding and clustering analysis," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    2. Hsu, David, 2015. "Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data," Applied Energy, Elsevier, vol. 160(C), pages 153-163.
    3. Anastasia Panori, 2017. "A Tale of Hidden Cities," REGION, European Regional Science Association, vol. 4, pages 19-38.
    4. Cooper, Daniel K. & Bayly, Benjamin L. & Mallozzi, Isabella & Jatoi, Fatima & Alonzo, Jayxa K., 2024. "Do the effects of head start vary across time based on children’s exposure to different patterns of childhood adversity? Differential intervention effects using latent profile analysis and time-varyin," Children and Youth Services Review, Elsevier, vol. 166(C).
    5. Tino Werner, 2023. "Quantitative robustness of instance ranking problems," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(2), pages 335-368, April.
    6. Apouey, Bénédicte & Geoffard, Pierre-Yves, 2013. "Family income and child health in the UK," Journal of Health Economics, Elsevier, vol. 32(4), pages 715-727.
    7. Swaminathan, Harini & Sharma, Anurag & Shah, Narendra G., 2019. "Does the relationship between income and child health differ across income groups? Evidence from India," Economic Modelling, Elsevier, vol. 79(C), pages 57-73.
    8. Ana Alina Tudoran, 2022. "A machine learning approach to identifying decision-making styles for managing customer relationships," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 351-374, March.
    9. Wu, Han-Ming, 2011. "On biological validity indices for soft clustering algorithms for gene expression data," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1969-1979, May.
    10. Biroli, Pietro & Boneva, Teodora & Raja, Akash & Rauh, Christopher, 2022. "Parental beliefs about returns to child health investments," Journal of Econometrics, Elsevier, vol. 231(1), pages 33-57.
    11. Jennifer Karas Montez & Kaitlyn Barnes, 2016. "The Benefits of Educational Attainment for U.S. Adult Mortality: Are they Contingent on the Broader Environment?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(1), pages 73-100, February.
    12. Goode, Alison & Mavromaras, Kostas & zhu, Rong, 2014. "Family income and child health in China," China Economic Review, Elsevier, vol. 29(C), pages 152-165.
    13. Rasheda Khanam & Hong Son Nghiem & Luke Brian Connelly, 2014. "What Roles Do Contemporaneous And Cumulative Incomes Play In The Income–Child Health Gradient For Young Children? Evidence From An Australian Panel," Health Economics, John Wiley & Sons, Ltd., vol. 23(8), pages 879-893, August.
    14. Olof Östergren & Olle Lundberg & Barbara Artnik & Matthias Bopp & Carme Borrell & Ramune Kalediene & Mall Leinsalu & Pekka Martikainen & Enrique Regidor & Maica Rodríguez-Sanz & Rianne de Gelder & Joh, 2017. "Educational expansion and inequalities in mortality—A fixed-effects analysis using longitudinal data from 18 European populations," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-14, August.
    15. Han Yu & Brian Chapman & Arianna Di Florio & Ellen Eischen & David Gotz & Mathews Jacob & Rachael Hageman Blair, 2019. "Bootstrapping estimates of stability for clusters, observations and model selection," Computational Statistics, Springer, vol. 34(1), pages 349-372, March.
    16. Khanam, Rasheda & Nghiem, Hong Son & Connelly, Luke B., 2009. "Child health and the income gradient: Evidence from Australia," Journal of Health Economics, Elsevier, vol. 28(4), pages 805-817, July.
    17. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    18. Matthew Whitaker & Joshua Elliott & Marc Chadeau-Hyam & Steven Riley & Ara Darzi & Graham Cooke & Helen Ward & Paul Elliott, 2022. "Persistent COVID-19 symptoms in a community study of 606,434 people in England," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    19. Jo M. Hale & Daniel C. Schneider & Neil K. Mehta & Mikko Myrskylä, 2022. "Understanding cognitive impairment in the U.S. through the lenses of intersectionality and (un)conditional cumulative (dis)advantage," MPIDR Working Papers WP-2022-029, Max Planck Institute for Demographic Research, Rostock, Germany.
    20. Paul Dolan & Grace Lordan, 2021. "Climbing up ladders and sliding down snakes: an empirical assessment of the effect of social mobility on subjective wellbeing," Review of Economics of the Household, Springer, vol. 19(4), pages 1023-1045, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:eee:socmed:v:364:y:2025:i:c:s0277953624009821. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.