Evidence map›Paper›PMID 41272171›Full record

ArticleNPJ digital medicine2025

Ten-year trends of the digital divides and its effect on healthy aging among older adults in China from 2011 to 2020.

Shaojie Li, Yingying Ouyang, Mingzheng Hu

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

3 authors.

Shaojie LiSchool of Public Health, Peking University, Beijing, China.
Yingying OuyangSchool of Business, Renmin University of China, Beijing, China.
Mingzheng HuNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom. mingzheng.hu@phc.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined decade-long trends in digital divides and their causal impact on healthy aging among older adults in China. Using five waves of nationally representative data from the China Health and Retirement Longitudinal Study (2011-2020; n = 46,674, aged ≥60), we applied instrumental variable method with two-way fixed effects to address endogeneity. From 2011 to 2020, digital access divide declined from 88.0% to 47.3%, and digital usage divide from 99.0% to 75.7% (P for trend < 0.001). However, both divides were significantly associated with poorer healthy aging outcomes across physical, cognitive, emotional, and social domains. The digital access divide was linked to increased functional limitations, multimorbidity, cognitive impairment, depressive symptoms, social isolation, and lower overall healthy aging index. The digital usage divide showed the same pattern. Subgroup analyses revealed heterogeneity by urban-rural residence, sex, economic level, marital status, education level, and region.

Identifiers

PMID41272171
PMCPMC12638298

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.