Evidence map›Paper›PMID 39073817›Full record

ArticleJAMA network open2024

Familial Loss of a Loved One and Biological Aging: NIMHD Social Epigenomics Program.

Allison E Aiello, Aura Ankita Mishra, Chantel L Martin, Brandt Levitt, Lauren Gaydosh, Daniel W Belsky, Robert A Hummer, Debra J Umberson, Kathleen Mullan Harris

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Observational
  2. Impact of child loss on parents' health-related quality of life: evidence from the china health and retirement longitudinal study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Allison E AielloDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Aura Ankita MishraDepartment of Psychology, College of Humanities and Social Sciences, North Carolina State University, Raleigh.
Chantel L MartinCarolina Population Center, University of North Carolina at Chapel Hill.
Brandt LevittCarolina Population Center, University of North Carolina at Chapel Hill.
Lauren GaydoshDepartment of Sociology, University of Texas at Austin.
Daniel W BelskyDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Robert A HummerCarolina Population Center, University of North Carolina at Chapel Hill.
Debra J UmbersonDepartment of Sociology, University of Texas at Austin.
Kathleen Mullan HarrisCarolina Population Center, University of North Carolina at Chapel Hill.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VII Core ProjectU01AG071448 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Allison E Aiello, Lauren M Gaydosh · 2021 to 2026
$40.2M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VI Cognition and Early Risk Factors for Dementia ProjectU01AG071450 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AIELLO, ALLISON E, HUMMER, ROBERT A · 2021 to 2025
$16.2M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
The Add Health Epigenome Resource: Life course stressors and epigenomic modifications in adulthoodR01MD013349 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AIELLO, ALLISON E, HARRIS, KATHLEEN MULLAN · 2018 to 2022
$3.5M
Differential impacts of co-occurring childhood maltreatment and long-term poly-victimization on chronic physical illnesses via inflammation: Do age at exposure and sexual orientation matter?F32HD103400 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MISHRA, AURA ANKITA · 2020 to 2022
$192k
NIA NIH HHS U01 AG071448NIA NIH HHS U01 AG071450NICHD NIH HHS F32 HD103400NICHD NIH HHS P01 HD031921NICHD NIH HHS P2C HD050924NIEHS NIH HHS P30 ES010126NIMHD NIH HHS R01 MD013349
6 · The paper itself

Abstract

Importance: The link between familial loss of a loved one and long-term health decline is complex and not fully understood. Objective: To test associations of losing a parent, sibling, child, or partner or spouse with accelerated biological aging. Design, Setting, and Participants: Data from the National Longitudinal Study of Adolescent to Adult Health, a US population-based longitudinal cohort study, were analyzed. Participants were enrolled from 1994 to 1995 for wave 1, while in grades 7 to 12, and followed up through wave 5 in 2018. The study analyzed participant reports of loss collected at each wave from 1 to 5 over 24 years and used a banked wave 5 blood sample for subsequent DNA methylation testing and epigenetic clock calculation from 2018 to 2024. Data were analyzed from January 2022 to July 2024. Exposure: Loss of biological parents or parental figures, partners or spouses, siblings, or children at waves 1 to 3 or during childhood, adolescence (aged <18 years), or adulthood at wave 4 to wave 5 (aged 18-43 years). Main Outcomes and Measures: Biological aging assessed from blood DNA methylation using the Horvath, PhenoAge, GrimAge, and DunedinPACE epigenetic clocks at wave 5. Results: Data from 3963 participants were analyzed, with a weighted mean (range) age of 38.36 (36.78-39.78) years at wave 5; 2370 (50.3%) were male, 720 (15.97%) were Black, 400 (8.18%) were Hispanic, and 2642 (72.53%) were White. Nearly 40% of participants experienced loss by wave 5 when they were aged 33 to 43 years, and participants who were Black (379 participants [56.67%]), Hispanic (152 participants [41.38%]), and American Indian (18 participants [56.08%]) experienced a greater proportion of losses compared with White participants (884 participants [34.09%]). Those who experienced 2 or more losses tended to have older biological ages for several of the clocks (PhenoAge β = 0.15; 95% CI, 0.02 to 0.28; GrimAge β = 0.27; 95% CI, 0.09 to 0.45; DunedinPACE β = 0.22; 95% CI, 0.10 to 0.34) compared with those with no losses. In contrast, there were no associations with 2 or more losses for the Horvath clock (β = -0.08; 95% CI, -0.23 to 0.06). Conclusions and Relevance: This study reveals associations between various measures of loss experienced from childhood to adulthood and biological aging in a diverse sample of the US population. These findings underscore the potentially enduring impact of loss on biological aging even before middle age and may contribute to understanding racial and ethnic disparities in health and mortality.

Indexed as

DNA MethylationAdolescentAdultAgingEpigenomicsFamilyFemaleHumansLongitudinal StudiesMaleUnited StatesYoung Adult

Identifiers

PMID39073817
PMCPMC11287397

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.