Evidence map›Paper›PMID 41584169›Full record

ArticleFrontiers in public health2025

The impact of generative AI health knowledge acquisition on adolescents' physical activity: the mediating role of exercise self-efficacy and the moderating effect of health information literacy.

Qunqun Sun, Hao Gou, Luyao Xiang, Chang Hu, Yuan Fang

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

5 authors.

Qunqun Sun *College of Physical Education, Qiannan Normal University for Nationalities, Duyun, China.
Hao Gou *College of Physical Education, Qiannan Normal University for Nationalities, Duyun, China.
Luyao XiangZhuhai Campus, Zunyi Medical University, Zhuhai, China.
Chang HuCollege of Physical Education, Jiangxi Normal University, Nanchang, China.
Yuan FangCollege of Physical Education, Qiannan Normal University for Nationalities, Duyun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates the impact of generative artificial intelligence health knowledge acquisition (GAI-HKA) on adolescents' physical activity (PA), with a focus on the mediating role of exercise self-efficacy (ESE) and the moderating role of health information literacy (HIL). Methods: Using stratified cluster random sampling, a total of 2,306 valid questionnaires were collected from 10 secondary schools across five cities in southern China. Data were obtained using the self-developed Generative AI Health Knowledge Acquisition Scale, the Adolescent Exercise Self-Efficacy Scale, the Health Information Literacy Scale, and Liang's revised Physical Activity Rating Scale. Structural equation modelling with PROCESS v3.5 macro (5,000 bootstraps) was employed to test direct, mediating, and moderating effects. Results: GAI-HKA was significantly and positively associated with adolescents' PA ( Conclusion: GAI-HKA directly enhances adolescents' PA and indirectly promotes exercise behavior through strengthening ESE. Moreover, higher HIL amplifies the positive effect of AI-based health knowledge on ESE. These findings suggest that schools and families should integrate efforts to cultivate adolescents' information literacy and efficacy beliefs when promoting AI-based health interventions, thereby maximizing the benefits of digital technologies in fostering youth physical activity.

Indexed as

Adolescent BehaviorExerciseGenerative Artificial IntelligenceHealth Knowledge, Attitudes, PracticeHealth LiteracySelf EfficacyAdolescentChinaFemaleHumansMaleSurveys and Questionnairesadolescentsexercise self-efficacygenerative AI health knowledge acquisitionhealth information literacyphysical activity

Identifiers

PMID41584169
PMCPMC12823970

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.