Evidence map›Paper›PMID 40508939›Full record

ArticleHealthcare (Basel, Switzerland)2025

Effectiveness of a Digital Game-Based Physical Activity Program (AI-FIT) on Health-Related Physical Fitness in Elementary School Children.

Se-Won Park, Dong-Ha Lim, Je-Hyun Kim, Sung-Hun Kim, Yeon-Oh Han

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. 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

5 authors.

Se-Won ParkDepartment of Physical Education, Korea National University of Education, Cheongju 28173, Republic of Korea.ORCID 0009-0004-3112-0678
Dong-Ha LimResearch Institute, AIRPASS Co., Ltd., Hanam-si 12982, Gyeonggi-do, Republic of Korea.
Je-Hyun KimResearch Institute, AIRPASS Co., Ltd., Hanam-si 12982, Gyeonggi-do, Republic of Korea.
Sung-Hun KimResearch Institute, AIRPASS Co., Ltd., Hanam-si 12982, Gyeonggi-do, Republic of Korea.
Yeon-Oh HanHealthPro LAB, Yeouido, Yeongdeungpo-gu, Seoul 07325, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study empirically examined the effects of a digital game-based physical activity program (AI-FIT) on elementary school children's health-related physical fitness while exploring the role of educational technology (EdTech) as a practical solution to post-pandemic physical inactivity.

methodsThis study was conducted over a 12-week period, from September to December 2024, with 40 students (grades 4 to 6) from an elementary school located in a mid-sized city in South Korea. The participants had a mean age of 10.8 years (SD = 0.69). The experimental group (n = 20) participated in the AI-FIT program, while the control group (n = 20) received regular physical education classes. To ensure baseline equivalence between the groups, propensity score matching was employed. Health-related physical fitness was assessed through pre- and post-tests, including flexibility, muscular endurance, cardiorespiratory endurance, explosive power, and Physical Activity Promotion System (PAPS) grade. Analyses were conducted using both dependent (paired) and independent

interventionResults indicated that the AI-FIT program had a large effect on flexibility (

conclusionsThese findings suggest that a digital program integrating AI-based personalized exercise prescriptions and gamification elements can effectively enhance the health-related fitness of elementary students. Moreover, this study supports the educational efficacy of EdTech-based interventions in physical education settings.

Indexed as

active video gamesAI in educationchild health promotiongamificationpersonalized exercisephysical activity intervention

Identifiers

PMID40508939
PMCPMC12154236

What OpenQuestion holds

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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 OpenQuestion graph.