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RESEARCH PAPER / 2025-12-25

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, Bruce G Link, Shakira F Suglia

Department of Epidemiology, Rollins School of Public Health, Emory University, United States; Department of Public Health, Baylor University, United States. Electronic address: [email protected] of Epidemiology, Rollins School of Public Health, Emory University, United States; Department of Public Health, Baylor University, United States. Electronic address: [email protected]. · pubmed

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.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The study claims that poor mental health across the life course is associated with epigenetic aging markers. This research is relevant as it explores the relationship between mental health and biological aging, potentially addressing root causes of aging through the lens of psychological well-being.

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