Evidence map›Paper›PMID 41849668›Full record

ArticleEndocrine connections2026

The effects of rebound exercise on body mass index and balance in overweight and obese adults: a meta-analysis.

Lin Wang, Sihong Sui

Abstract read
In one paragraph

Article in Endocrine connections, 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
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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

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

2 authors.

Lin WangSchool of Physical Education, Daqing Normal University, Daqing, China.
Sihong SuiDepartment of Sport & Leisure Studies, Hoseo University, Asan-si, South Korea.ORCID https://orcid.org/0009-0008-5038-6032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rebounding involves repetitive bouncing on a trampoline, a low-impact and enjoyable exercise. The purpose of this study was to explore the effects of rebound exercise on body mass index (BMI) and balance in adults who are overweight and obese. Method: This review searched Scopus, PubMed, Web of Science, and EBSCO databases for relevant articles from January 2005 to January 2025. During the procedure, the terms 'rebound', 'trampoline', 'training', 'exercise', 'obesity', and 'overweight' were applied. This review also utilised the standardised mean difference (SMD) as the index of effect size. RevMan 5.4 software was used to analyse the average difference in the selected literature data with 95% confidence interval (CI). This review has been registered on PROSPERO (No. CRD42025638300). Results: In the nine selected articles, a total of 234 participants (61 males and 173 females) aged over 18 years with a BMI ≥ 25 kg/m2 were included. The study outcomes revealed that rebound exercise considerably reduced the BMI (SMD = 0.48 (0.26, 0.69), P < 0.01, I 2 = 56%) of individuals with overweight and obesity. Nevertheless, the subgroup analysis revealed different results for intervention periods under (SMD = 0.25 (-0.03, 0.53), P = 0.08, I 2 = 21%) and over 12 weeks (SMD = 0.82 (0.48, 1.17), P < 0.01, I 2 = 14%). Rebound exercise also notably affected balance in adults with overweight and obesity (SMD = -0.62 (-0.98, -0.26), P < 0.01, I 2 = 0%). Conclusion: Rebound exercise exhibited the potential to reduce BMI and improve balance in overweight and obese adults. Nonetheless, only intervention plans of over 12 weeks demonstrated significantly greater effects. Consequently, rebound exercise can be employed as a programme to reduce BMI and improve balance in overweight and obese adults.

Indexed as

adult with obesitybalancebody mass indexoverweightrebound exercise

Identifiers

PMID41849668
PMCPMC13087868

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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.