Evidence map›Paper›PMID 41402955›Full record

ArticleBMC geriatrics2025

Depressive trajectories and their associations with chronic diseases among older adults: a national longitudinal cohort study from China.

Xianqi Zhang, Ziyuan Li, Qianqian Yu, Yongli Shi, Ping Dong, Haoqi Li, Mengyuan Xu, Xianglan Zhuge, Pengyu Lou, Wenqiang Yin and 1 more

Abstract read
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In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Xianqi Zhang *School of Public Health, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Ziyuan Li *School of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Qianqian Yu *School of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Yongli ShiSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Ping DongSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Haoqi LiSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Mengyuan XuSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Xianglan ZhugeSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China.
Pengyu LouSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China. loupy@sdsmu.edu.cn.
Wenqiang YinSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China. yinwq1969@126.com.
Zhongming ChenSchool of Management, Shandong Second Medical University, No. 7166 Baotong West Street, Weifang, 261053, Shandong, China. czm3306196@163.com.

Funding

Natural Science Foundation of Shandong Province ZR2024MG028Provincial Talent Project of Shandong tsqn202312250The National Natural Science Foundation of China 72274140
6 · The paper itself

Abstract

backgroundChronic diseases and depression pose significant health challenges among older adults, but their dynamic relationship is not fully understood. This study explores how chronic diseases affect depressive trajectories in older adults using a comprehensive health ecology model.

methodsWe conducted a longitudinal analysis using data from 21,541 adults aged 60 + from the China Family Panel Studies (CFPS). The baseline sample (2012) included 3709 older adults, with an average age of 65.88 years, and 1912 (51.45%) male and 1797 (48.45%) female participants. Depressive status was assessed using the CES-D20 scale, and depressive trajectories were identified through group-based trajectory modeling (GBTM). Based on the health ecology model, personal characteristics, behavioral lifestyle, family networks, living environment, and policy environment factors were included. Logistic regression was used to examine the factors influencing depressive trajectories.

resultsChronic disease prevalence increased with age, peaking in the 75-79 age group. GBTM identified two distinct depressive trajectories: low-level (84.3%) and high-level (15.7%). Older adults with chronic diseases were more likely to be in the high-level depressive group (20.51% vs. 11.32%). Risk factors for high-level depression included female gender, impaired ADL, poor self-rated health, smoking, living in rural areas, and lower family income levels. Protective factors included alcohol consumption, regular exercise, being married, and having urban/rural residence medical insurance or employee medical insurance.

conclusionThe study identified two distinct depressive trajectories, with chronic diseases significantly increasing the risk of persistent high-level depression in older adults.

Indexed as

DepressionAgedAged, 80 and overChinaChronic DiseaseCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsChronic disease managementDepressive trajectoriesGroup-based trajectory modelHealth ecology theoryOlder adults

Identifiers

PMID41402955
PMCPMC12821311

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LicenceCC BY-NC-ND
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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.