Evidence mapPaperPMID 42470543Full record

Trial reportWorld journal of pediatrics : WJP2026

Effects of plyometric-based high-intensity interval training on muscle-to-fat ratio in children: protocol for a randomized controlled trial in primary school settings.

Ying Liu, Bjorn T Tam, Sin-Yee Chan, Yu-Ying Wang, Ke-Wen Wan, Wing-Lam Chung, Asefa Adimasu Taddese, Ka-Yin Chan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in World journal of pediatrics : WJP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Ying LiuAcademy of Wellness and Human Development, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Bjorn T TamAcademy of Wellness and Human Development, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China. bjorntam@hkbu.edu.hk.ORCID http://orcid.org/0000-0001-6740-8674
Sin-Yee ChanDr. Stephen Hui Research Centre for Physical Recreation and Wellness, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Yu-Ying WangAcademy of Wellness and Human Development, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Ke-Wen WanAcademy of Wellness and Human Development, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Wing-Lam ChungDr. Stephen Hui Research Centre for Physical Recreation and Wellness, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Asefa Adimasu TaddeseAcademy of Wellness and Human Development, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Ka-Yin ChanAcademy of Wellness and Human Development, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood obesity is associated with cardiometabolic and musculoskeletal health risks. Because fat reduction may be accompanied by loss of skeletal muscle, this trial aims to evaluate whether a plyometric-based high-intensity interval training (Plyo-HIIT) program improves muscle-to-fat ratio (MFR) in children aged 9-12 years.

methodsThis pragmatic, assessor-blinded, three-arm randomized controlled trial will recruit 210 children aged 9-12 years from primary schools in Hong Kong, China. Participants will be randomly assigned to Plyo-HIIT, structured fitness (SF) program, or the health education (HE) control group in a 1:1:1 ratio. Each group will engage in two 45-minute weekly sessions for 16 weeks. The Plyo-HIIT program involved developmentally appropriate plyometric exercise (e.g., jumping, skipping). The SF program includes moderate- to high-intensity activities maintaining 60%-80% of maximal heart rate. The HE group will receive weekly health education sessions. Outcomes will be assessed at baseline, post-intervention (16 weeks), and at 6-month follow-up. The primary outcome will be MFR measured using magnetic resonance imaging. Secondary outcomes will include body composition, muscular fitness, cardiorespiratory fitness, flexibility, body mass index, physical activity, and cortisol levels.

resultsParticipant recruitment was conducted between September 26, 2024, and March 14, 2025. The 16-week intervention has been completed. However, as one participating cohort delayed the start date of the intervention, the 6-month follow-up assessments are still ongoing, with the final follow-up assessment scheduled for August 2026. No trial outcome data are reported in this protocol article.

conclusionsThis study is expected to provide evidence for the effectiveness of Plyo-HIIT in improving body composition by increasing the muscle-to-fat ratio among school-age children. This will support the integration of Plyo-HIIT training into school-based physical activity programs, offering a practical and time-efficient strategy to prevent early-onset obesity. By comparing Plyo-HIIT with the SF and HE groups, this study may further demonstrate the value of plyometric training for primary school settings.

Indexed as

High-Intensity Interval TrainingMuscle, SkeletalPediatric ObesityPlyometric ExerciseChildFemaleHong KongHumansMaleSchoolsChildhood obesityHigh-intensity interval trainingMuscle-to-fat ratioPlyometric trainingSchool-based intervention

Identifiers

PMID42470543
PMCPMC13433586

What Socratic 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 Socratic graph.