Evidence map›Paper›PMID 41443306›Full record

ArticleJournal of affective disorders2026

Mental health across the lifecourse as predictors of epigenetic aging from a longitudinal birth cohort in the United States.

Rebecca E Jones-Antwi, Elizabeth S Clausing, Rachel C Shelton, Karen N Conneely, Diddier Prada-Ortega, Pam Factor-Litvak, Piera Cirrillo, Andrea Baccarelli, Barbara Cohn, Katherine M Keyes and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of affective disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Rebecca E Jones-AntwiDepartment of Epidemiology, Rollins School of Public Health, Emory University, United States; Department of Public Health, Baylor University, United States. Electronic address: Rebecca_jones-antwi@baylor.edu.
Elizabeth S ClausingSchool of Global Integrative Studies, University of Nebraska-Lincoln, United States; Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, United States.
Rachel C SheltonDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, United States.
Karen N ConneelyDepartment of Human Genetics, School of Medicine, Emory University, United States.
Diddier Prada-OrtegaDepartment of Health Science and Policy, Icahn School of Medicine at Mount Sinai.
Pam Factor-LitvakDepartment of Epidemiology, Mailman School of Public Health, Columbia University, United States.
Piera CirrilloChild Health and Development Studies, Public Health Institute, United States.
Andrea BaccarelliDepartment of Environmental Health Sciences, Harvard T.H. Chan School of Public Health, United States.
Barbara CohnChild Health and Development Studies, Public Health Institute, United States.
Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, United States.
Bruce G LinkDepartment of Sociology, University of California Riverside, United States.
Shakira F SugliaDepartment of Epidemiology, Rollins School of Public Health, Emory University, United States.

Funding

Multidisciplinary Research Training to Reduce Inequities in Cardiovascular HealthT32HL130025 · NHLBI · EMORY UNIVERSITY · PI Tené T Lewis, Viola Vaccarino · 2016 to 2026
$6.4M
Stress, Epigenetics and AgingR01AG058704 · NIA · EMORY UNIVERSITY · PI SHELTON, RACHEL C, SUGLIA, SHAKIRA FRANCO · 2018 to 2022
$3.4M
A Lifecourse Approach to Emerging Health Disparities in a US Birth CohortR01HD058515 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COHN, BARBARA A, LINK, BRUCE G · 2008 to 2012
$2.9M
NHLBI NIH HHS T32 HL130025NIA NIH HHS R01 AG058704NICHD NIH HHS R01 HD058515
6 · The paper itself

Abstract

Poor mental health has been linked with an increased risk of accelerated aging. This study examines associations between indicators of poor mental health across the life course and markers of epigenetic aging among 274 participants from the Child Health and Development Studies (CHDS) Disparities (DISPAR) Study. The sample included those with complete data on indicators of mental health in childhood (age 9-11) (sadness/isolated and anxious/fearful) and adulthood (age 50) (psychological distress and depressive symptoms). Epigenetic age acceleration (in blood) was estimated using two generations of epigenetic clocks and one DNA methylation biomarker in adulthood (DunedinPACE). We used path analysis to evaluate both direct and indirect effects of child mental health and epigenetic aging with mediation through adult mental health. Among menopausal females, higher psychological distress in adulthood was associated with greater epigenetic aging through PhenoAge Acceleration [Beta (95 % CI)] [0.27 (0.001,0.53)]. Higher depressive symptoms was associated with lower epigenetic aging through GrimAge Acceleration among menopausal females [-0.30 (-0.51,-0.09)] and through PhenoAge [-0.35 (-0.61,-0.10)]. Higher sadness/isolated scores in childhood were associated with higher epigenetic aging through PhenoAge Acceleration among males [0.20 (0.03,0.38)]. No indirect effects were found. Overall, we found sex and time-period differences in how mental health measures are associated with epigenetic age.

Indexed as

AgingEpigenesis, GeneticMental HealthAdultBirth CohortChildDepressionDNA MethylationFemaleHumansLongitudinal StudiesMaleMenopauseMiddle AgedPsychological DistressStress, PsychologicalAdult mental healthChild mental healthEpigenetic agingLifecourse

Identifiers

PMID41443306
PMCPMC13555253

What Socratic holds

Textmetadata
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 Socratic graph.