Evidence map›Paper›PMID 41606540›Full record

ArticleBMC public health2026

Associations between depressive symptoms and cognitive function in China older adults based on a dual-trajectory model.

Xiaoqing Zhao, Ya Zhang, Ruxu Ge, Lihong Ji, Zhiwei Dong, Hongzhi Zhang, Xue Bai, Shanquan Chen, Haiyan Li, Qi Jing and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2026. 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
–field-weighted citation impact
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

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.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xiaoqing ZhaoSchool of Public Health, Shandong Second Medical University, Weifang, 261053, Shandong, China.
Ya ZhangSchool of Public Health, Shandong Second Medical University, Weifang, 261053, Shandong, China.
Ruxu Ge"Health Shandong" Collaborative Innovation Center for Severe Social Risk Prediction and Governance, Weifang, 261053, China.
Lihong JiSchool of Public Health, Shandong Second Medical University, Weifang, 261053, Shandong, China.
Zhiwei Dong"Health Shandong" Collaborative Innovation Center for Severe Social Risk Prediction and Governance, Weifang, 261053, China.
Hongzhi ZhangThe ARC Training Centre for Advanced Building Systems against Airborne Infection Transmission (THRIVE), Queensland University of Technology, Brisbane, QLD, 4000, Australia.
Xue BaiDepartment of Applied Social Sciences and Research Centre for Gerontology and Family Studies, The Hong Kong Polytechnic University, Hong Kong, China.
Shanquan ChenSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Haiyan Li"Health Shandong" Collaborative Innovation Center for Severe Social Risk Prediction and Governance, Weifang, 261053, China. qdpdlhy@126.com.
Qi Jing"Health Shandong" Collaborative Innovation Center for Severe Social Risk Prediction and Governance, Weifang, 261053, China. jingq@sdsmu.edu.cn.
Wengui ZhengSchool of Public Health, Shandong Second Medical University, Weifang, 261053, Shandong, China. wgzheng@sdsmu.edu.cn.

Funding

Team Research Project of the "Youth Innovation Team Program" at Shandong Provincial Higher Education Institution 2022RW075The National Natural Science Foundation of China 72004165
6 · The paper itself

Abstract

backgroundCognitive decline and depressive symptoms often co-occur in older adults, but research on the trajectories of these two conditions and their interrelationships remains limited.

methodsUsing data from 2,823 adults aged ≥ 60 years in the China Health and Retirement Longitudinal Study (CHARLS, 2011–2018), we identified depressive-symptom and cognitive-function trajectories using group-based trajectory modeling (GBTM) and then used a group-based dual-trajectory modeling (GBDTM) to quantify their interdependence by estimating conditional and joint probabilities across trajectory groups. Multinomial logistic regression was used to examine how baseline characteristics predicted the likelihood of membership in each trajectory group.

resultsThree distinct trajectories were identified for depressive symptoms (low: 31.0%, moderate: 46.2%, high: 22.8%) and cognitive function (high: 47.8%, declining: 34.6%, low: 17.6%). Depressive symptom trajectories mainly differed by symptom level with small fluctuations, whereas cognitive trajectories differed more in decline patterns, with modest decline in the high-functioning group and steeper declines in the other groups. Conditional and joint probabilities showed clear cross-domain linkage between depressive-symptom and cognitive-function trajectories. Dual-trajectory analysis revealed that 61.1% of participants in the low depressive symptoms group had high cognitive function, while 49.1% of the low cognition group had moderate depressive symptoms. The joint probability results showed that older adults with milder depressive symptoms were more likely to maintain high cognitive function. Higher education, better ADL function, and self-rated health were associated with favorable trajectory membership (P < 0.05).

conclusionDepressive symptoms and cognitive function were negatively associated among older Chinese adults. Interventions targeting depressive symptoms may help preserve cognitive health in aging populations.

Indexed as

CognitionCognitive DysfunctionDepressionAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedCognitive functionDepressive symptomsOlder adultsTrajectory modelling

Identifiers

PMID41606540
PMCPMC12922326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.