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Accelerated biological aging and risk of depression and anxiety: evidence from 424,299 UK Biobank participants

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  • Xu Gao

    (Peking University)

  • Tong Geng

    (Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital))

  • Meijie Jiang

    (Peking University)

  • Ninghao Huang

    (Peking University)

  • Yinan Zheng

    (Northwestern University)

  • Daniel W. Belsky

    (Columbia University)

  • Tao Huang

    (Peking University)

Abstract

Theory predicts that biological processes of aging may contribute to poor mental health in late life. To test this hypothesis, we evaluated prospective associations between biological age and incident depression and anxiety in 424,299 UK Biobank participants. We measured biological age from clinical traits using the KDM-BA and PhenoAge algorithms. At baseline, participants who were biologically older more often experienced depression/anxiety. During a median of 8.7 years of follow-up, participants with older biological age were at increased risk of incident depression/anxiety (5.9% increase per standard deviation [SD] of KDM-BA acceleration, 95% confidence intervals [CI]: 3.3%–8.5%; 11.3% increase per SD of PhenoAge acceleration, 95% CI: 9.%–13.0%). Biological-aging-associated risk of depression/anxiety was independent of and additive to genetic risk measured by genome-wide-association-study-based polygenic scores. Advanced biological aging may represent a potential risk factor for incident depression/anxiety in midlife and older adults and a potential target for risk assessment and intervention.

Suggested Citation

  • Xu Gao & Tong Geng & Meijie Jiang & Ninghao Huang & Yinan Zheng & Daniel W. Belsky & Tao Huang, 2023. "Accelerated biological aging and risk of depression and anxiety: evidence from 424,299 UK Biobank participants," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38013-7
    DOI: 10.1038/s41467-023-38013-7
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    1. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    2. Zuyun Liu & Xi Chen & Thomas M Gill & Chao Ma & Eileen M Crimmins & Morgan E Levine, 2019. "Associations of genetics, behaviors, and life course circumstances with a novel aging and healthspan measure: Evidence from the Health and Retirement Study," PLOS Medicine, Public Library of Science, vol. 16(6), pages 1-22, June.
    3. Zuyun Liu & Pei-Lun Kuo & Steve Horvath & Eileen Crimmins & Luigi Ferrucci & Morgan Levine, 2018. "A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study," PLOS Medicine, Public Library of Science, vol. 15(12), pages 1-20, December.
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