Evidence map›Paper›PMID 40660167›Full record

ArticleBMC public health2025

The promotion mechanism of physical and mental health of the elderly in China: the impact of the digital divide and social capital.

Jia Xiang, Hongfei Xing

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

2 authors.

Jia XiangSchool of Law, Hohai University, Nanjing, 211100, China. jiaxiang@hhu.edu.cn.
Hongfei XingSchool of Law, Hohai University, Nanjing, 211100, China.

Funding

National Social Science Foundation of China 21CKS028
6 · The paper itself

Abstract

With the deep integration of population aging and digital transformation, the society has benefit from digital dividend, while also giving rise to the issue of the aging population's digital divide.This study is based on the three-level digital divide theory analysis framework, concentrating on the impact of the digital divide on elderly people's health during the Covid-19 pandemic in China, conducts multiple regression analysis, and uses the instrumental variable method and PSM propensity matching for robustness testing. Constructs a multiple mediation model of digital skill-social capital-elderly health, and applies Bootstrap-based structural equation model(SEM) to analyze and examine the influencing mechanism and pathway of digital skill on elderly people's physical and mental health. The research results indicate that: (1) From self-rated health, physical health, and mental health three aspects, digital skill significantly promotes elderly people's health, moreover, the elderly health is negatively impacted by the digital divide. (2) Among the elderly, their physical and psychological health are linked by a "cyclic cumulative causal effect". (3) The effect of digital skill on elderly people's health exists urban-rural difference. (4) A mediating effect of social capital in the connection between digital skill and elderly people's health. Digital skill enhances the state of elderly people's health by enriching relational and structural social capital, and aged adults' health is negatively impacted by a reduction in cognitive social capital. Therefore, in the future, it is necessary to fully leverage the health promotion function of digital skill, broaden senior citizens' social network, promote their social participation, bridge the senior citizens' digital divide, so then realize healthy aging and sustainable development.

Indexed as

Digital DivideHealth PromotionHealth StatusMental HealthSocial CapitalAgedAged, 80 and overChinaCOVID-19FemaleHumansMaleMiddle AgedDigital divideDigital skillElderly healthMediating effectSocial capital

Identifiers

PMID40660167
PMCPMC12261863

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.