Evidence map›Paper›PMID 41194803›Full record

ArticleInternational journal of public health2025

Mediating Role of Internet Use in Cognitive-Depressive Pathways: A Random Intercept Cross-Lagged Panel Modeling Approach.

Zhichao Wang, Zhongliang Zhou, Jiao Lu, Xinyue Zhang, Xiaohui Zhai, Yan Zhuang

Abstract read
In one paragraph

Article in International journal of public health, 2025. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhichao WangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Jiao LuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Xinyue ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Xiaohui ZhaiSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Yan ZhuangSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Prior work has identified an inverse relationship between depression and cognition in older adults, but the mechanisms underlying this association remain unclear. This study investigated whether internet use mediates this relationship in middle-aged and older adults. Methods: Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS) from 2015 to 2020 (n = 9,610). The Random Intercept Cross-Lagged Panel Model (RI-CLPM) with mediation analysis was used; subgroup analyses were conducted for middle-aged (45-64) and older (65+) adults. Results: At the between-person level, a significant negative correlation was found between cognitive function and depressive symptoms. Within-person analysis revealed a bidirectional relationship: poorer cognitive function predicted increased depressive symptoms (β* = -0.080, p < 0.001), and conversely, increased depressive symptoms predicted poorer cognitive function (β* = -0.019, p < 0.05). Internet use partially mediated this relationship, accounting for 8.58% and 9.69% of the total effects, respectively. This mediating effect was stronger in middle-aged adults than in older adults. Conclusion: These results emphasize the continued importance of exploring multidisciplinary interventions to mitigate depressive symptoms and delay cognitive decline in middle-aged and older adult populations.

Indexed as

CognitionCognitive DysfunctionDepressionInternet UseAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle Agedcognitive functiondepressioninternet uselongitudinal studymediation analysisRandom Intercept Cross-Lagged Panel Model

Identifiers

PMID41194803
PMCPMC12583110

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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.