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Hauptverfasser: Huang, Jinghong, Chen, Le, Chen, Huiyu, Liu, Qiaodan, Tu, Chuandeng, Dai, Yue, Li, Yueping, Tu, Raoping
Format: Artículo científico
Sprache:en
Veröffentlicht: Journal of psychosomatic research 2025
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Online-Zugang:https://pubmed.ncbi.nlm.nih.gov/39987767/
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author Huang, Jinghong
Chen, Le
Chen, Huiyu
Liu, Qiaodan
Tu, Chuandeng
Dai, Yue
Li, Yueping
Tu, Raoping
author_facet Huang, Jinghong
Chen, Le
Chen, Huiyu
Liu, Qiaodan
Tu, Chuandeng
Dai, Yue
Li, Yueping
Tu, Raoping
Huang, Jinghong
Chen, Le
Chen, Huiyu
Liu, Qiaodan
Tu, Chuandeng
Dai, Yue
Li, Yueping
Tu, Raoping
collection PubMed - marine biology
contents Abnormal blood biomarkers and trajectories of depressive symptoms among Chinese middle-aged and older adults. Huang, Jinghong Chen, Le Chen, Huiyu Liu, Qiaodan Tu, Chuandeng Dai, Yue Li, Yueping Tu, Raoping Humans Male Female Biomarkers Depression Middle Aged Aged China Longitudinal Studies Allostasis C-Reactive Protein Glycated Hemoglobin Cholesterol, HDL Blood Pressure East Asian People 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. 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. 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. Our findings highlight the importance of monitoring multiple biological systems to prevent long-term accelerated severe depressive symptoms trajectory.
format Artículo científico
id pubmed_39987767
institution PubMed
language en
publishDate 2025
publisher Journal of psychosomatic research
record_format pubmed
spellingShingle Abnormal blood biomarkers and trajectories of depressive symptoms among Chinese middle-aged and older adults.
Huang, Jinghong
Chen, Le
Chen, Huiyu
Liu, Qiaodan
Tu, Chuandeng
Dai, Yue
Li, Yueping
Tu, Raoping
Humans
Male
Female
Biomarkers
Depression
Middle Aged
Aged
China
Longitudinal Studies
Allostasis
C-Reactive Protein
Glycated Hemoglobin
Cholesterol, HDL
Blood Pressure
East Asian People
Abnormal blood biomarkers and trajectories of depressive symptoms among Chinese middle-aged and older adults. Huang, Jinghong Chen, Le Chen, Huiyu Liu, Qiaodan Tu, Chuandeng Dai, Yue Li, Yueping Tu, Raoping Humans Male Female Biomarkers Depression Middle Aged Aged China Longitudinal Studies Allostasis C-Reactive Protein Glycated Hemoglobin Cholesterol, HDL Blood Pressure East Asian People 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. 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. 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. Our findings highlight the importance of monitoring multiple biological systems to prevent long-term accelerated severe depressive symptoms trajectory.
title Abnormal blood biomarkers and trajectories of depressive symptoms among Chinese middle-aged and older adults.
topic Humans
Male
Female
Biomarkers
Depression
Middle Aged
Aged
China
Longitudinal Studies
Allostasis
C-Reactive Protein
Glycated Hemoglobin
Cholesterol, HDL
Blood Pressure
East Asian People
url https://pubmed.ncbi.nlm.nih.gov/39987767/