Evidence map›Paper›PMID 41114131›Full record

ArticleDepression and anxiety2025

Longitudinal Associations Between Depression Symptoms and Cognitive Functions in Chinese Older Adults: A Cross-Lagged Panel Network Analysis.

Hongfei Ma, Meng Zhao, Huimin Yin, Shuang Zhao, Pingmin Wei

Abstract read
In one paragraph

Article in Depression and anxiety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Hongfei MaDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.ORCID 0000-0002-0178-5212
Meng ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Huimin YinDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Shuang ZhaoHospital Office, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Pingmin WeiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.ORCID 0009-0007-3334-2372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With rapid population aging in China, understanding the relationship between depression symptoms and cognitive function is crucial for improving the mental health of older adults. This study investigates these dynamics using data from the China Health and Retirement Longitudinal Study (CHARLS). Methods: We analyzed data from the 2015, 2018, and 2020 waves of CHARLS, including 5203 participants aged 60 and above. Depression symptoms were measured using the Centre for Epidemiological Studies Depression-10 (CESD-10) scale, while cognitive function was assessed via the Mini-Mental State Examination (MMSE) scale. Cross-sectional network analysis was utilized for constructing the contemporaneous network, and cross-lagged panel network (CLPN) analysis was subsequently employed for longitudinal analysis. Results: In all three cross-sectional networks, "Hope" was identified as a key bridge symptom connecting the depression symptom community and the cognitive function community, while "Depressed mood" was found to be the central symptom of the entire network. In temporal networks, higher drawing ability at wave 1 was associated with greater "Hope" at wave 2, whereas higher "Fear" at wave 1 was related to lower recall ability at wave 2. Moreover, lower memory ability at wave 2 was associated with lower "Bothered" at wave 3. Conclusion: This study uncovered the dynamic interplay between specific depression symptoms and cognitive functions among Chinese older adults, thereby providing further validation for the scar theory and the cognitive vulnerability model. Additionally, it provides a critical theoretical foundation for developing intervention strategies targeting mental health and cognitive function in the aging population, as well as a scientific basis for related policy formulation. Future research should integrate quantitative and qualitative data for stronger causal validation.

Indexed as

AgingCognitionCognitive DysfunctionDepressionAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle Agedcognitive functioncross-lagged panel networkdepression symptomlongitudinalolder adults

Identifiers

PMID41114131
PMCPMC12534153

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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.