Abnormal blood biomarkers and trajectories of depressive symptoms among Chinese middle-aged and older adults

IF 3.5 2区医学 Q2 PSYCHIATRY

Journal of Psychosomatic Research Pub Date : 2025-02-08 DOI:10.1016/j.jpsychores.2025.112052

Jinghong Huang , Le Chen , Huiyu Chen , Qiaodan Liu , Chuandeng Tu , Yue Dai , Yueping Li , Raoping Tu

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引用次数: 0

Abstract

Objective

Although previous studies have demonstrated allostatic load (AL) predicts depressive symptoms, few studies have considered the association between AL and trajectories of depressive symptoms. This study aims to systematically examine the associations of abnormal blood biomarkers in the three biological systems with trajectories of depressive symptoms.

Methods

A total of 6251 participants aged 45+ from the China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms were assessed using the 10-item Center for Epidemiological Studies Depression Scale (CESD-10) in five visits (waves 2011, 2013, 2015, 2018, and 2020). Biomarkers in three biological systems were evaluated based on standard criteria, including C-reactive protein in the inflammation system; systolic and diastolic blood pressures in the cardiovascular system; and high-density lipoprotein cholesterol (HDLC), total cholesterol/HDL-C ratio, and glycosylated hemoglobin (HbA1c) in the metabolic system. The trajectories of depressive symptoms were measured using group-based trajectory modelling (GBTM). Multinomial logistic regression models were conducted to examine the association between the number of abnormal biological systems and trajectories of depressive symptoms.

Results

Four different trajectories of depressive symptoms were identified: mild (44.22 %), moderate (42.09 %), increasing (9.39 %), and severe (4.30 %). Compared to participants with normal values of biomarkers in all three systems, those with abnormal values of biomarkers in three systems had a 2.26-fold risk of developing the severe depressive symptoms trajectory.

Conclusions

Our findings highlight the importance of monitoring multiple biological systems to prevent long-term accelerated severe depressive symptoms trajectory.

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目的虽然以往的研究已证实异位性负荷（AL）可预测抑郁症状，但很少有研究考虑到AL与抑郁症状轨迹之间的关联。本研究旨在系统研究三大生物系统中异常血液生物标志物与抑郁症状轨迹之间的关系。方法中国健康与退休纵向研究（CHARLS）共收集了 6251 名 45 岁以上的参与者。抑郁症状采用流行病学研究中心抑郁量表（CESD-10）的 10 个项目进行评估，共进行了五次访问（2011 年、2013 年、2015 年、2018 年和 2020 年）。根据标准标准评估了三个生物系统的生物标志物，包括炎症系统中的C反应蛋白；心血管系统中的收缩压和舒张压；代谢系统中的高密度脂蛋白胆固醇（HDLC）、总胆固醇/HDL-C比值和糖化血红蛋白（HbA1c）。抑郁症状的轨迹采用基于群体的轨迹模型（GBTM）进行测量。结果发现了四种不同的抑郁症状轨迹：轻度（44.22%）、中度（42.09%）、加重（9.39%）和严重（4.30%）。结论我们的研究结果突显了监测多个生物系统对预防长期加速的严重抑郁症状轨迹的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Psychosomatic Research 医学-精神病学

CiteScore

7.40

自引率

6.40%

发文量

314

审稿时长

6.2 weeks

期刊介绍： The Journal of Psychosomatic Research is a multidisciplinary research journal covering all aspects of the relationships between psychology and medicine. The scope is broad and ranges from basic human biological and psychological research to evaluations of treatment and services. Papers will normally be concerned with illness or patients rather than studies of healthy populations. Studies concerning special populations, such as the elderly and children and adolescents, are welcome. In addition to peer-reviewed original papers, the journal publishes editorials, reviews, and other papers related to the journal''s aims.