Evidence map›Paper›PMID 42136609›Full record

ArticleFrontiers in public health2026

The digital dividend of the views on aging: how digital engagement influences subjective aging in Chinese older adults.

Yingtan Mu, Jiali Zhang, Qiuming Hu, Xiaofang Li

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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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.

Yingtan MuDepartment of Social Security, Southwestern University of Finance and Economics, Chengdu, China.
Jiali ZhangDepartment of Social Security, Southwestern University of Finance and Economics, Chengdu, China.
Qiuming HuDepartment of Social Security, Southwestern University of Finance and Economics, Chengdu, China.
Xiaofang LiDepartment of Social Work, School of Politics and Public Administration, Zhengzhou University, Postdoctoral Research Station of Public Administration, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Against the social backdrop of the simultaneous deepening of population aging and digital transformation, older adults' subjective experience and evaluation of their own aging process have increasingly become core psychological elements influencing their physical and mental health as well as social integration. Methods: A nationally representative sample of older adults aged 60 and over from 3 waves (collected in 2018, 2020, and 2023) of The China Longitudinal Aging Social Survey was used in the analysis. Adopted as two-dimensional measures of Views on Aging (VoA) were subjective age and perceived old age, with their age trajectories among older adults and the cohort differences driven by digital engagement systematically examined via hierarchical growth curve models, and robustness checks conducted through propensity score matching. Results: Findings show that VoA of older adults become increasingly positive with age, with significant generational differentiation; digital engagement effectively boosts the positivity of their VoA (reflected in lower subjective age and higher perceived old age), while this positive effect diminishes marginally with age and displays distinct cohort differences. Conclusion: This study provides longitudinal empirical evidence on the reshaping effects of digital technologies on older adults' VoA, and theoretical support for promoting active aging and building an age-friendly environment in the digital society.

Indexed as

AgingDigital MediaAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedSurveys and Questionnairesdigital engagementhierarchical growth curve modelperceived old agesubjective ageviews on aging

Identifiers

PMID42136609
PMCPMC13167705

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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.