ArticleEClinicalMedicine2022
Contribution of life course circumstances to the acceleration of phenotypic and functional aging: A retrospective study.
Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence linking COVID-19 and the health/well-being of children and adolescents: an umbrella review.BMC medicine · 2024Pooled it
- PhenoAge acceleration, serum tryptophan, and frailty in socially engaged actively aging elderly men.iScience · 2026Article
- A robust computational framework for methylation age and disease-risk prediction based on pairwise learning.Nature computational science · 2026Article
- Complex associations of adverse childhood and adulthood experiences with incident depressive symptoms in middle-aged and older Chinese adults.BMC psychology · 2026Article
- A prospective study of age-related functional impairments, mortality, and life expectancy of Chinese adults aged 50.Communications medicine · 2026Article
- Overlap of Frailty and Depression and Its Association With Cardiovascular Disease: A Population-Based Study.Clinical Medicine Insights. Cardiology · 2026Article
- The relationship between self-reported adverse experiences and depressive symptoms among middle-aged and elderly individuals: A longitudinal study based on the CHARLS database.Brain, behavior, & immunity - health · 2025Article
- Association of frailty and its trajectory with the risk of cancer: evidence from the China health and retirement longitudinal study (CHARLS).BMC public health · 2025Article
- Lifestyle, environment and other major determinants of frailty in older adults: a population-based study from the UK Biobank.Biogerontology · 2025Article
- Lipid Control and Social Determinants: Their Association With LDL and Non-HDL Cholesterol Goals in Older Adults-A Population-Based Study.Clinical cardiology · 2025Article
- The longitudinal relationship between night-time sleep duration, midday napping, and frailty among middle-aged and older people in China: a prospective analysis.Journal of global health · 2025Article
- Closing the gap in dementia research by community-based cohort studies in the Chinese population.The Lancet regional health. Western Pacific · 2025Review
- Agreement Between Cardiovascular Risk Assessment Models (SCORE2, Framingham, ASCVD-2013, and SCORE2-OP) in Adults Aged 70 Years or Older: A Population-Based Study.Clinical Medicine Insights. Cardiology · 2025Article
- Life course socioeconomic position and care dependency in later life: a longitudinal multicohort study from 17 countries.EClinicalMedicine · 2025Article
- Place of Birth and Cognitive Function Among Older Americans: Findings From the Harmonized Cognitive Assessment Protocol.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024Article
- Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics.Nature communications · 2024Article
- Article
- Influencing Factors of Healthy Aging Risk Assessed Using Biomarkers: A Life Course Perspective.China CDC weekly · 2024Article
- [Association between factors in life course and physiological dysregulation among the middle-aged and older population in Zhoushan city of Zhejiang province].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024Article
- Physiological Dysregulation Proceeds and Predicts Health Outcomes Similarly in Chinese and Western Populations.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
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Authors and funding
10 authors.
Funding
Abstract
Background: Accelerated aging leads to increasing burdens of chronic diseases in late life, posing a huge challenge to the society. With two well-developed aging measures (i.e., physiological dysregulation [PD] and frailty index [FI]), this study aimed to evaluate the relative contributions of life course circumstances (e.g., childhood and adulthood socioeconomic status) to variance in aging. Methods: We assembled data for 6224 middle-aged and older adults in China from the 2014 life course survey (June to December 2014), the 2015 biomarker collection (July 2015 to January 2016), and the 2015 main survey (July 2015 to January 2016) of the China Health and Retirement Longitudinal Study. Two aging measures (PD and FI) were calculated, with a higher value indicating more accelerated aging. Life course circumstances included childhood (i.e., socioeconomic status, war, health, trauma, relationship, and parents' health) and adulthood circumstances (i.e., socioeconomic status, adversity, and social support), demographics, and behaviours. The Shapley value decomposition, hierarchical clustering, and general linear regression models were performed. Findings: The Shapley value decomposition revealed that all included life course circumstances accounted for about 6·3% and 29·7% of variance in PD and FI, respectively. We identified six subpopulations who shared similar patterns in terms of childhood and adulthood circumstances. The most disadvantaged subpopulation (i.e., subpopulation 6 [more childhood trauma and adulthood adversity]) consistently exhibited accelerated aging indicated by the two aging measures. Relative to the most advantaged subpopulation (i.e., subpopulation 1 [less childhood trauma and adulthood adversity]), PD and FI in the most disadvantaged subpopulation were increased by an average of 0·14 (i.e., coefficient, by one-standard deviation, 95% confidence interval [CI] 0·06-0·21; Interpretation: Our findings highlight the different contributions of life course circumstances to phenotypic and functional aging. Special attention should be given to promoting health for the disadvantaged subpopulation and narrowing their health gap with advantaged counterparts. Funding: National Natural Science Foundation of China, Milstein Medical Asian American Partnership Foundation, Natural Science Foundation of Zhejiang Province, Fundamental Research Funds for the Central Universities, National Institute on Aging, National Centre for Advancing Translational Sciences, and Yale Alzheimer's Disease Research Centre.
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