Evidence map›Paper›PMID 42824389›Full record

ArticleFrontiers in public health2026

Improvements in body composition and postural control in children with obesity following an AI-assisted, deficit-oriented exercise intervention.

Lixin Cao, Xingxing Cheng, Changqing Deng, Yuexin Ren, Shunjiu Zhang, Lunyu 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.

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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

6 authors.

Lixin CaoSchool of Sport Medicine and Health, Chengdu Sport University, Jianyang, Sichuan Province, China.
Xingxing ChengSchool of Sport Medicine and Health, Chengdu Sport University, Jianyang, Sichuan Province, China.
Changqing DengSchool of Sport Medicine and Health, Chengdu Sport University, Jianyang, Sichuan Province, China.
Yuexin RenSchool of Sport Medicine and Health, Chengdu Sport University, Jianyang, Sichuan Province, China.
Shunjiu ZhangSchool of Sport Medicine and Health, Chengdu Sport University, Jianyang, Sichuan Province, China.
Lunyu LiSchool of Sport Medicine and Health, Chengdu Sport University, Jianyang, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the effects of an AI-assisted, individualized exercise management model on body composition, physical fitness, and postural stability in children with obesity, providing a feasibility foundation for subsequent randomized controlled trials. Methods: A single-group, pre-post pilot study was conducted. Nineteen children with simple obesity (7 girls, 12 boys; mean age 10.11 ± 2.0 years) from West China Second Hospital (July-September 2024) completed a 12-week exercise intervention. The AI system generated individualized FITT-VP prescriptions based on baseline assessments and dynamically adjusted them via training feedback, with on-site coach implementation. Outcomes were measured pre- and post-intervention. Results: All 19 children completed the intervention with no adverse events. Primary outcomes: BMI decreased from 25.29 ± 3.56 to 23.64 ± 3.60 kg/m Conclusion: The AI-assisted, deficit-oriented exercise intervention demonstrated good feasibility and safety in this cohort of children with obesity. The observed improvements in body composition, motor function, and postural control indicators provide a feasibility basis for subsequent confirmatory trials on precision exercise management for childhood obesity.

Indexed as

Body CompositionExercise TherapyPediatric ObesityPostural BalanceBody Mass IndexChildChinaFemaleHumansMalePhysical FitnessPilot ProjectsAI-assisted decision support systemchildhood obesitydeficit-orientedpostural controlprecision exercise intervention

Identifiers

PMID42824389
PMCPMC13627403

What OpenQuestion holds

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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.