Evidence map›Paper›PMID 39537176›Full record

Trial reportEndocrine journal2025

Effects of breaking up prolonged sitting via exercise snacks intervention on the body composition and plasma metabolomics of sedentary obese adults: a randomized controlled trial.

Jianming Zhou, Xiaoning Gao, Dandan Zhang, Chuanwu Jiang, Wenbing Yu

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Endocrine journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Jianming ZhouInstitute of Physical Education, Nanjing Xiaozhuang University, Nanjing 211171, Jiangsu, China.
Xiaoning GaoOphthalmology Department, Qingdao Hiser Hospital Affiliated of Qingdao University, Qingdao 266071, Shandong, China.
Dandan ZhangInstitute of Finance and Economics, Shanghai Lida University, Shanghai 201608, China.
Chuanwu JiangMedical Imaging Department, Qingdao Hiser Hospital Affiliated of Qingdao University, Qingdao 266071, Shandong, China.
Wenbing YuInstitute of Sports Human Science, Ocean University of China, Qingdao 266100, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity resulting from long-term sedentary a significant threat to human health. This study explores the effects of exercise snack intervention on body composition and plasma metabolomics in sedentary obese adults. Participants in the snack group were subjected to 4 days of sprint exercises by stair-climbing per week for 12 weeks. Systemic and regional fat mass, epicardial adipose tissue (EAT), abdominal visceral (AVFA) and subcutaneous (ASFA) fat area and plasma metabolomics data were measured before and after intervention. A higher improvement of EAT, AVFA and ASFA in the snack group compared to that in the control group, with a significant interaction effect (p < 0.05). The key differential metabolites between the two groups include isoleucine, glycine and serine. The proposed exercise snack effectively reduced the amount of AVFA and EAT. The change in body composition may be associated with the altered pathways of isoleucine, glycine, and serine metabolism.

Indexed as

Body CompositionExerciseExercise TherapyObesitySedentary BehaviorSnacksAdultFemaleHumansIsoleucineMaleMetabolomicsMiddle AgedSerineSitting PositionIsoleucineSerineExercise snacksObese adultsPlasma metabolomics

Identifiers

PMID39537176
PMCPMC11850105

What OpenQuestion holds

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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 OpenQuestion graph.