Observational studyThe journals of gerontology. Series A, Biological sciences and medical sciences2018
Biological Age, Not Chronological Age, Is Associated with Late-Life Depression.
Observational study in The journals of gerontology. Series A, Biological sciences and medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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.
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.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Contribution of Biological Age-Predictive Biomarkers to Nutrition Research: A Systematic Review of the Current Evidence and Implications for Future Research and Clinical Practice.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- How well do elderly patients with major depressive disorder respond to antidepressants: a systematic review and single-group meta-analysis.BMC psychiatry · 2020Pooled it
- Frailty and Depression in Late Life: A High-Risk Comorbidity With Distinctive Clinical Presentation and Poor Antidepressant Response.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Trial
- Article
- Organ-specific proteomic aging and cognitive performance: Implications for risk prediction of Alzheimer's disease and related dementias in older adults.The journal of prevention of Alzheimer's disease · 2025Article
- Associations of biological aging with the morbidity and all-cause mortality of patients with lung cancer.Scientific reports · 2025Article
- Clinical biomarker-based biological age predicts deaths in Brazilian adults: the ELSA-Brasil study.GeroScience · 2024Article
- Are depressive symptoms associated with biological aging in a cross-sectional analysis of adults over age 50 in the United States.Psychology and aging · 2024Article
- Non-pharmaceutical interventions and epigenetic aging in adults: Protocol for a scoping review.PloS one · 2024Article
- Discordant Biological and Chronological Age: Implications for Cognitive Decline and Frailty.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
- Dietary inflammatory potential and biological aging among US adults: a population-based study.Aging clinical and experimental research · 2023Article
- Biological factors influencing depression in later life: role of aging processes and treatment implications.Translational psychiatry · 2023Review
- Accelerated biological aging and risk of depression and anxiety: evidence from 424,299 UK Biobank participants.Nature communications · 2023Article
- Association between kidney function and biological age: a China Health and Retirement Longitudinal Study.Frontiers in public health · 2023Article
- Female APOE ɛ4 Carriers with Slow Rates of Biological Aging Have Better Memory Performances Compared to Female ɛ4 Carriers with Accelerated Aging.Journal of Alzheimer's disease : JAD · 2023Article
- Progress in biological age research.Frontiers in public health · 2023Review
- Late life depression and concepts of aging: an emerging paradigm.Frontiers in medicine · 2023Article
- Metabolic reprogramming: a bridge between aging and tumorigenesis.Molecular oncology · 2022Review
- Modeling biological age and its link with the aging process.PNAS nexus · 2022Article
- Predictors of Adverse Outcomes in Healthy Aging Adults: Coronary Artery Disease, Lower Educational Status and Higher P-Selectin Levels.Clinical interventions in aging · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
Background: The pathophysiology of late-life depression (LLD) is complex and heterogeneous, with age-related processes implicated in its pathogenesis. This study examined the cross-sectional and longitudinal association between depressive symptoms and a baseline multibiomarker algorithm of biological age (BA) that aggregates indicators of inflammatory, metabolic, cardiovascular, lung, liver, and kidney functioning. Method: Data were analyzed from 2,776 men and women from the prospective observational Health Aging and Body Composition Study, who had both evaluable chronological age (CA) and BA. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. Results: A covariate-adjusted regression model showed that BA (B = 0.03, p = .0471) but not CA (B = -0.01, p = .7185) is associated with baseline CES-D scores. The mean baseline BA for individuals with a CES-D ≥ 10 was 1.28 years greater than in those with a CES-D < 10. Comparatively, there is only a 0.05-year difference in mean CA between the two depression groups. A covariate-adjusted longitudinal model found that baseline BA predicts CES-D score at follow-up (B = 0.04, p = .0058), whereas CA does not (B = 0.03, p = .4125). Additionally, an older BA significantly predicted a CES-D ≥ 10 (B = 0.02, p = .032) over a 10-year period. Conclusions: A multibiomarker index of an older adult's BA outperformed their CA in predicting subsequent increased and clinically significant depressive symptoms. This result supports the evolving view of LLD as a brain disorder resulting from deleterious age-associated changes across numerous physiological systems.
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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.