Evidence map›Paper›PMID 41293096›Full record

ArticleFrontiers in psychology2025

The complex relationship between the digital divide, social capital, and mental health among older adults: a multi-method path decomposition.

Qiwei Feng, Ting Zhou, Changxi Chen, Xinbin Xia

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Qiwei FengSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Ting ZhouSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Changxi ChenSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Xinbin XiaSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Against the backdrop of converging population aging and digitalization trends, the impact of the digital divide on older adults' mental health represents a paradox characterized by conflicting empirical findings. Methods: To address this paradox, this study employs a multi-method analytical strategy-comprising propensity score matching, panel fixed-effects models, and generalized structural equation modeling-utilizing nationally representative data from the China Family Panel Studies (CFPS) 2016-2022. This approach systematically decomposes the complex causal pathways connecting the digital divide, social capital, and mental health among older adults. Results: After rigorously controlling for self-selection bias and time-invariant individual heterogeneity, our findings initially demonstrate a robust null total effect of the digital divide on depressive symptoms among older adults [average treatment effect on the treated (ATT) = 0.02, Conclusion: This study empirically establishes that the digital divide functions as a double-edged sword for older adults' mental health, with its net effect contingent upon the complex interplay between direct technological benefits and indirect social costs. These findings indicate that future digital inclusion policies must transcend the narrow focus on bridging physical access gaps to prioritize "empowering trust." This objective can be realized through targeted digital literacy interventions that enable older adults to navigate technology safely, thereby advancing the broader policy objective of healthy aging.

Indexed as

causal inferenceChinadigital dividemental healtholder adultssocial capitalsuppression effect

Identifiers

PMID41293096
PMCPMC12640981

What OpenQuestion 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 OpenQuestion graph.