Evidence map›Paper›PMID 41843772›Full record

ArticleJMIR aging2026

Digital Inclusion Pathways for Older Chinese Adults in the Context of Active Aging: Secondary Analysis of 2023 China Longitudinal Aging Social Survey Data.

Bo Zhao, Xiaoyan Wang, Ren Chen, Eun Woo Nam

Abstract read
In one paragraph

Article in JMIR aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Bo ZhaoDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui, China, 86-18550072738.ORCID http://orcid.org/0000-0002-6780-1633
Xiaoyan WangDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui, China, 86-18550072738.ORCID http://orcid.org/0009-0007-3714-2431
Ren ChenDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui, China, 86-18550072738.ORCID http://orcid.org/0000-0003-3626-9450
Eun Woo NamDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui, China, 86-18550072738.ORCID http://orcid.org/0000-0002-3517-6247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rapid population aging and the intensifying digitalization of everyday life are unfolding simultaneously in China. While prior studies have largely examined pairwise associations among digital inclusion, social engagement, mental health, and overall health status, few have evaluated an integrated, theoretically grounded pathway linking these domains in later life. Objective: This study aims to quantify the direct and indirect pathways through which digital inclusion influences older adults' overall health status, social engagement, and mental health, specified as sequential mediators. Methods: We analyzed the newly released, nationally representative data from the 2023 wave of the China Longitudinal Aging Social Survey, comprising 9918 adults aged 60 years or older. Overall health status was assessed using 3 self-rated health (SRH) indicators: current SRH, SRH relative to age peers, and SRH relative to last year. Digital inclusion was measured through digital access, device proficiency, and digital ability. Social engagement captured social support, frequency of participation in community or voluntary activities, and nononline activities. Mental health included depressive symptoms, social adaptation, and life satisfaction. Analyses included descriptive statistics, multivariable hierarchical linear regressions, and structural equation modeling to estimate direct and mediated effects (2-sided; α=.05). Results: Older age, chronic disease, and functional limitations were associated with poorer overall health status, whereas higher education and current employment were associated with better health status. Digital inclusion was positively associated with social engagement (β=.50), which in turn was positively associated with mental health. Mental health showed the strongest association with SRH (β=.74). The direct path from social engagement to overall health status was nonsignificant (P=.34), indicating that participation influences health primarily through psychological pathways. In regression analyses, digital inclusion modestly improved model fit for health status outcomes, while adding mental health produced a greater increase. Conclusions: Digital inclusion promoted active aging indirectly, by expanding social engagement and enhancing mental health, thereby improving overall health status. Policy efforts should prioritize narrowing the digital divide by improving digital skills and capability, rather than access alone. Meaningful opportunities for social engagement should also be expanded to strengthen community-based mental health support. In addition, strategies should be tailored to the differing needs of urban and rural settings.

Indexed as

AgingHealth StatusSocial ParticipationAgedAged, 80 and overChinaDigital MediaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMental HealthMiddle AgedSecondary Data AnalysisSocial Supportactive agingChinadigital inclusionhealthy agingmental healtholder adultsoverall health statussocial engagement

Identifiers

PMID41843772
PMCPMC12996483

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.