Evidence map›Paper›PMID 42564581›Full record

ArticleDepression and anxiety2026

Multidimensional Depressive Symptom Exposure and Incident Cognitive Decline: A Prospective Cohort Study.

Jun Guo, Shiyu Jiang, Chenxi Luo, Yarou Li, Sisi Guo

Abstract read
In one paragraph

Article in Depression and anxiety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jun GuoDepartment of Nursing, Zunyi Medical University, Zhuhai Campus, No. 368, Jinwan District, Zhuhai City 519041, Guangdong Province, China, zmc.edu.cn.ORCID https://orcid.org/0009-0003-6461-3738
Shiyu JiangDepartment of Nursing, Zunyi Medical University, Zhuhai Campus, No. 368, Jinwan District, Zhuhai City 519041, Guangdong Province, China, zmc.edu.cn.ORCID https://orcid.org/0009-0002-4194-3980
Chenxi LuoDepartment of Nursing, Zunyi Medical University, Zhuhai Campus, No. 368, Jinwan District, Zhuhai City 519041, Guangdong Province, China, zmc.edu.cn.ORCID https://orcid.org/0009-0001-8381-301X
Yarou LiDepartment of Nursing, Zunyi Medical University, Zhuhai Campus, No. 368, Jinwan District, Zhuhai City 519041, Guangdong Province, China, zmc.edu.cn.ORCID https://orcid.org/0009-0002-7284-1354
Sisi GuoDepartment of Nursing, Zunyi Medical University, Zhuhai Campus, No. 368, Jinwan District, Zhuhai City 519041, Guangdong Province, China, zmc.edu.cn.ORCID https://orcid.org/0009-0008-9183-695X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite being a modifiable risk factor for cognitive decline, the influence of depressive symptoms on cognitive decline lacks a systematic assessment of its cumulative exposure intensity, temporal dimensions, and dynamic change. Aim: To systematically evaluate the multidimensional associations of depressive symptom exposure-including cumulative exposure, burden, duration, and dynamic change patterns-with incident cognitive decline, by adopting an analytical framework that integrates "static accumulation and dynamic evolution." Methods: Among 8847 Health and Retirement Study (HRS) participants free of cognitive decline at baseline, cumulative depressive symptoms were quantified as the area under the curve (AUC) across 2012-2016 waves. A cut-point was identified by maximizing the log-rank statistic for cognitive decline risk within a clinically relevant range (2.5-3.5) and used to define cumulative burden and high-exposure duration. Dynamic symptom patterns across three waves were identified, and their interaction with cumulative burden was examined. Multivariable Cox models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for incident cognitive decline risk associated with these exposure metrics. Results: During 3.67 median follow-up years, 2311 incident cognitive decline cases occurred. Cognitive decline risk rose with escalating cumulative depressive exposure: the highest tertile (HR 1.42; 1.28-1.58), cumulative burden ≥0 (HR 1.34; 1.21-1.49), longest duration (HR 1.29; 1.12-1.48), and a progressively worsening trend (HR 1.52; 1.25-1.84) all significantly increased risk. Conclusions: Our findings demonstrate that the effect of depressive symptoms on cognitive decline is cumulative, time-dependent, and dynamic. These results emphasize that sustaining a stable, low-severity depressive symptom profile is essential for lifelong cognitive health.

Indexed as

Cognitive DysfunctionDepressionAgedFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk Factorscognitive declinecumulative exposuredepressive symptomsdynamic changeprospective cohort

Identifiers

PMID42564581
PMCPMC13444727

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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.