Longitudinal bidirectional association of biological aging acceleration with depressive symptoms in mid-to-late life: evidence from the China Health and Retirement Longitudinal Study.

IF 5.4 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Zeshan Chen, Mengxue Su, Qiang Tu, Jianji Li, Haisheng Wu
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Abstract

The longitudinal directionality between depressive symptoms and biological aging acceleration has yet to be thoroughly investigated. This study included 5442 Chinese adults aged 45-80 years from the 2011 and 2015 survey waves of China Health and Retirement Longitudinal Study. Multiple biomarker-based biological age was estimated using the Klemera and Doubal method, and biologically older was defined as biological age larger than chronological age. Depressive symptoms were identified using a threshold of ≥ 10 on the 10-item Center for Epidemiological Studies Depression Scale. Multivariate logistic regression was employed to explore two unidirectional associations between biological aging and depression. Cross-lagged panel models (CLPM) were also constructed to simultaneously examine the bidirectional relationship and the strength of the association. In the logistic regression model adjusted for potential confounders, biologically older at baseline was associated with a higher risk of subsequent depression (OR = 1.202, 95% CI: 1.020, 1.417) compared with biologically younger; conversely, individuals with baseline depression had a higher risk of being biologically older later (OR = 1.372, 95% CI: 1.148, 1.639) when compared to those without depression. CLPM identified bidirectional relationship over time, with standardized coefficients of 0.03 (P < 0.01) for both longitudinal directional pathways, suggesting an equal contribution of biological aging acceleration and depression to their dynamic interplay. This study reveals a reciprocal interaction between biological aging acceleration and depression in mid-to-late life, suggesting that targeted interventions aimed at decelerating biological aging or alleviating depressive symptoms may confer reciprocal benefits over time.

生物衰老加速与中晚年抑郁症状的纵向双向关联:来自中国健康与退休纵向研究的证据
抑郁症状与生物衰老加速之间的纵向方向性尚未得到彻底的研究。本研究纳入2011年和2015年中国健康与退休纵向研究调查波中5442名45-80岁的中国成年人。使用Klemera和double方法估计基于多种生物标志物的生物年龄,生物年龄大于实足年龄定义为生物年龄。采用流行病学研究中心抑郁量表的10项阈值≥10来识别抑郁症状。采用多因素logistic回归探讨生物衰老与抑郁之间的两种单向关联。我们还构建了交叉滞后面板模型(CLPM)来同时检验双向关系和关联强度。在校正潜在混杂因素的logistic回归模型中,基线时生理年龄较大的患者与生理年龄较小的患者相比,随后发生抑郁症的风险较高(OR = 1.202, 95% CI: 1.020, 1.417);相反,与没有抑郁症的人相比,基线抑郁症患者在生物学上更晚变老的风险更高(OR = 1.372, 95% CI: 1.148, 1.639)。随着时间的推移,CLPM发现了双向关系,标准化系数为0.03 (P
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来源期刊
GeroScience
GeroScience Medicine-Complementary and Alternative Medicine
CiteScore
10.50
自引率
5.40%
发文量
182
期刊介绍: GeroScience is a bi-monthly, international, peer-reviewed journal that publishes articles related to research in the biology of aging and research on biomedical applications that impact aging. The scope of articles to be considered include evolutionary biology, biophysics, genetics, genomics, proteomics, molecular biology, cell biology, biochemistry, endocrinology, immunology, physiology, pharmacology, neuroscience, and psychology.
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