Evidence map›Paper›PMID 41602015›Full record

ArticleFrontiers in public health2025

Beyond ownership: the critical role of digital literacy in shaping the impact of digital access on physical activity.

Wangjie Li, Qi Ling

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Wangjie LiNanyang Normal University, Nanyang, China.
Qi LingGuangxi Minzu University, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid proliferation of digital technology is often assumed to automatically foster healthier lifestyles, yet its impact on physical activity (PA) remains inconsistent and poorly understood. Moving beyond the simplistic focus on access, this study proposes and tests a theoretically grounded moderated mediation framework. It posits that digital literacy is the pivotal mechanism through which access influences PA, and that this mediation process is fundamentally moderated by the urban-rural divide, a key structural inequalities in China. Methods: Utilizing nationally representative data from the 2022 China Family Panel Studies ( Results: The analysis reveals a stark urban-rural heterogeneity in mechanisms. For urban residents, digital literacy served as a significant partial mediator. In stark contrast, a consistent suppression effect was identified among rural residents: digital access exerted a significant negative direct effect on PA, which was counterbalanced by a stronger positive indirect effect through digital literacy. This indicates that in rural contexts, mere access may inadvertently displace physical activity, and its net benefit is contingent entirely on digital literacy. Conclusion: Our findings challenge the techno-optimistic narrative that equates access with positive outcomes. They necessitate a strategic policy pivot-from infrastructure expansion to an integrated approach that concurrently provides access, builds contextualized digital capability, and shapes healthier digital environments, with interventions tailored to the distinct mediation and suppression mechanisms observed across settings.

Indexed as

Computer LiteracyExerciseChinaDigital MediaHumansRural PopulationUrban Populationcausal inferenceChinadigital accessdigital literacymoderated mediationphysical activitysuppression effecturban–rural disparity

Identifiers

PMID41602015
PMCPMC12832747

What OpenQuestion 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 OpenQuestion graph.