ArticleSSM - population health2024
The embodiment of parental death in early life through accelerated epigenetic aging: Implications for understanding how parental death before 18 shapes age-related health risk among older adults.
Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- The impact of adverse childhood experiences on DNA methylation age: a systematic review and meta-analysis.Clinical epigenetics · 2026Pooled it
- Residential exposure to deadly gun violence and accelerated biological aging in a national sample of U.S. adolescents.SSM - population health · 2026Article
- Early life adversity, educational attainment, and cardiometabolic risk among middle-aged and older adults in the United States.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA).Aging · 2025Article
- The Interplay Between Biological Aging and Volunteering Engagement in Predicting Cognitive Performance: Evidence From the Harmonized Cognitive Assessment Protocol Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Does volunteering reduce epigenetic age acceleration among retired and working older adults? Results from the Health and Retirement Study.Social science & medicine (1982) · 2025Article
- Generations of epigenetic clocks and their links to socioeconomic status in the Health and Retirement Study.Epigenomics · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Parental death in early life has been linked to various adverse health outcomes in older adulthood. This study extends prior research to evaluate how parental death in early life is tied to accelerated epigenetic aging, a potentially important biological mechanism from which social and environmental exposures impact age-related health. We used data from the 2016 Venous Blood Study (VBS), a component of the Health and Retirement Study (HRS), to examine the association between parental death in early life and accelerated epigenetic aging as measured by three widely used epigenetic clocks (PCPhenoAge, PCGrimAge, and DunedinPACE). We also assessed whether some of the association is explained by differences in educational attainment, depressive symptoms, and smoking behavior. Methods included a series of linear regression models and formal mediation analysis. Findings indicated that parental death in early life is associated with accelerated epigenetic aging for PCPhenoAge and DunedinPACE. The inclusion of educational attainment, depressive symptoms, and smoking behavior attenuated this association, with formal mediation analysis providing additional support for these observations. Parental death in early life may be one of the most difficult experiences an individual may face. The elevated biological risk associated with parental death in early life may operate through immediate changes but also through more downstream risk factors. This study highlights how early life adversity can set in motion biological changes that have lifelong consequences.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.