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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
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    References listed on IDEAS

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    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.
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