Evidence map›Paper›PMID 41875201›Full record

ArticleJMIR aging2026

Broadband Access, Internet Use, and General Cognition in Middle-Aged and Older Adults: Longitudinal Study.

Fangfang Cheng, Li Cao

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Fangfang ChengStudent Affairs Office, Inner Mongolia Medical University, Hohhot, China.ORCID http://orcid.org/0009-0001-7470-1235
Li CaoInformation Technology Department, Inner Mongolia Medical University, 5th floor, Teaching Building, Xinhua Road, Hui Min District, Hohhot, 010110, China, 86 0471-665-3023.ORCID http://orcid.org/0000-0001-9657-2545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet use may support cognitive health in aging populations, but the digital divide in access and use might worsen inequalities. Objective: This study aimed to examine whether internet use mediates the long-term relationship between broadband access and cognitive function among middle-aged and older adults in China. Methods: Using 3-wave data (2015-2020) from the China Health and Retirement Longitudinal Study (N=6063), we applied parallel-process latent growth curve models to analyze trajectories of broadband access, internet use, and general cognition, adjusting for sociodemographic and time-varying covariates. Results: Baseline broadband access predicted initial internet use (β=0.453; P<.001), and broadband access increases strongly forecasted rises in internet use (β=0.625; P<.001). Increased internet use was associated with improved baseline general cognition (β=0.470; P<.001) and more significant cognitive improvements over time (β=0.444; P=.006). Older age, lower educational level, and rural residence were correlated with lower initial digital engagement; however, participants from rural areas demonstrated a greater adoption rate. Health status and social activities initially positively influenced outcomes; however, their impact diminished by the final wave. Conclusions: These findings demonstrate that internet use mediates the longitudinal relationship between broadband access and cognitive resilience. The observed cascading growth trajectories suggest that gradually bridging the digital divide may help mitigate cognitive decline.

Indexed as

CognitionInternetInternet AccessInternet UseAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle Agedcascadecognitive functiondigital divideparallel-process latent growth curve modelingPP-LGCMtrajectory

Identifiers

PMID41875201
PMCPMC13012894

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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.