Evidence map›Paper›PMID 42183513›Full record

ArticleFrontiers in psychology2026

The association between internet use and cognition in older adults: empirical analysis based on CLASS 2023.

Chunhui Yan, Peiyou Chen, Zhihao Jia, Guangwu Dong

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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

4 authors.

Chunhui YanCollege of Sports Science, Nanjing Normal University, Nanjing, China.
Peiyou ChenCollege of Sports Science, Nanjing Normal University, Nanjing, China.
Zhihao JiaCollege of Sports Science, Nanjing Normal University, Nanjing, China.
Guangwu DongCollege of Sports Science, Nanjing Normal University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the relationship between Internet use and cognition among older adults and to elucidate the mediating mechanisms involving activities of daily living and depression. Methods: Utilizing data from the 2023 China Longitudinal Aging Social Survey (CLASS), a sample of 9,012 older adults aged 60 to 90 was selected. A chain mediation model was constructed and analyzed using the PROCESS macro (Model 6) in SPSS 23.0. The significance of independent and chain mediation pathways was evaluated using the bootstrap method with 5,000 resamples. Results: The results indicated that Internet use was significantly and positively correlated with cognition in older adults ( Conclusion: The results indicated a significant positive correlation between Internet use and cognition in older adults. Furthermore, mediation analysis revealed that activities of daily living and depression played a partial mediating role between Internet use and cognition, involving both independent and chain mediating pathways. This suggests that Internet use may be linked to better cognitive performance through its association with higher levels of activities of daily living and lower levels of depression. Therefore, it is recommended to actively promote the digital inclusion of older adults. By providing digital skills training, enhancing Internet accessibility, and constructing age-friendly digital environments, society can help older adults better engage in the digital world, ultimately fostering their physical and mental well-being as well as active aging.

Indexed as

activities of daily livingChina longitudinal aging social survey (CLASS)cognitiondepressioninternet use

Identifiers

PMID42183513
PMCPMC13195684

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.