ArticleJournal of youth and adolescence2020
Childhood Adversities as Determinants of Cardiovascular Disease Risk and Perceived Illness Burden in Adulthood: Comparing Retrospective and Prospective Self-Report Measures in a Longitudinal Sample of African Americans.
Article in Journal of youth and adolescence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- The buffering effect of social support on the link between biologically embedded childhood maltreatment and adult cardiovascular disease.Social science & medicine (1982) · 2025Article
- Linking deprivation in early childhood with academic performance in middle adolescence through cognitive ability in middle childhood: Nuance by specific cognitive component and heterogeneity by child negative emotionality.Development and psychopathology · 2025Article
- Adverse childhood experiences influence markers of neurodegeneration risk in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Resilience following childhood adversity: The need for a heuristic multilevel dynamic framework.Neuroscience applied · 2024Article
- Specifying the psychosocial pathways whereby child and adolescent adversity shape adult health outcomes.Psychological medicine · 2023Article
- Association Between Early Trauma and Ideal Cardiovascular Health Among Black Americans: Results From the Morehouse-Emory Cardiovascular (MECA) Center for Health Equity.Circulation. Cardiovascular quality and outcomes · 2021Article
- Unstable Childhood, Adult Adversity, and Smoking Accelerate Biological Aging Among Middle-Age African Americans: Similar Findings for GrimAge and PoAm.Journal of aging and healthArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
A large body of evidence suggests that exposure to childhood adversities increases risk for poor quality physical health in adulthood. Much of this evidence is based on retrospective measures which are believed to be contaminated by the limitations and biases of autobiographical memory. Using longitudinal data on 454 African Americans (61 percent female) this study examines the corroboration between prospective and retrospective measures of childhood adversities gathered approximately two decades apart, and the relative ability of the measures to predict self-reported illnesses and a biomarker of 30-year cardiovascular disease risk. Comparisons indicated that the retrospective and prospective measures demonstrated weak convergence and did not provide completely equivalent information about self-reported adverse childhood experiences. A series of regression models indicated that the two measures of adversities exhibited similar associations with the cardiovascular disease biomarker but divergent associations with self-reported illnesses. Furthermore, both the prospective and retrospective measures simultaneously predicted cardiovascular disease risk in adulthood. That the prospective measure did not significantly predict perceived illnesses after adjusting for the retrospective measure is evidence that childhood adversities predict self-reported health burden insofar as respondents remember those adversities as adults. The findings provide evidence that retrospective self-report measures of childhood adversities do not closely converge with prospective measures, and that retrospective measures may not provide valid estimates of the association between childhood adversities and perceived illnesses in adulthood.
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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.