Evidence map›Paper›PMID 40743469›Full record

Trial reportJournal of medical Internet research2025

Effects of an Exercise Intervention Based on mHealth Technology on the Physical Health of Male University Students With Overweight and Obesity: Randomized Controlled Trial.

Qinlong Zhang, Zhen Li, Lei Jiang, Yanan Gao, Tingjun Gong, Jian Li, Zhixiong Zhou

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Qinlong Zhang *Capital University of Physical Education and Sports, No.11, North Third Ring West Road, Haidian District, Beijing, 100191, China, 86 010 82099489.ORCID http://orcid.org/0009-0009-4314-9175
Zhen Li *School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.ORCID http://orcid.org/0000-0002-1432-7472
Lei JiangCapital University of Physical Education and Sports, No.11, North Third Ring West Road, Haidian District, Beijing, 100191, China, 86 010 82099489.ORCID http://orcid.org/0009-0001-8591-6805
Yanan GaoSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.ORCID http://orcid.org/0000-0002-3641-5449
Tingjun GongCapital University of Physical Education and Sports, No.11, North Third Ring West Road, Haidian District, Beijing, 100191, China, 86 010 82099489.ORCID http://orcid.org/0009-0000-2757-3149
Jian LiCapital University of Physical Education and Sports, No.11, North Third Ring West Road, Haidian District, Beijing, 100191, China, 86 010 82099489.ORCID http://orcid.org/0009-0000-5175-3158
Zhixiong ZhouCapital University of Physical Education and Sports, No.11, North Third Ring West Road, Haidian District, Beijing, 100191, China, 86 010 82099489.ORCID http://orcid.org/0000-0003-3369-1429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity has become one of today's global health challenges. According to the World Health Organization, in 2022, a total of 2.5 billion adults aged 18 years and older will be overweight, including more than 890 million adults with obesity. Objective: Exercise interventions based on mobile health (mHealth) technology are widely available, but the effectiveness and feasibility of interventions using mHealth apps and exercise watches to improve the physical health of male college students with overweight and obesity are unknown, and this study compares the effects of online interventions carried out by mHealth technology and offline interventions guided by physical trainers on the physical health of male college students with overweight and obesity. Methods: This study used a randomized controlled trial with a pretest-posttest design, and participants were randomly divided into an online group, an offline group, and a control group. The online group exercised online through the fitness app, and the offline group was instructed by a professional trainer to exercise offline, and both groups wore sports watches to monitor their activities, and the training content was the same. The control group did not carry out any intervention. Results: At the end of the intervention, the BMI of the online and offline groups decreased by 0.89(SD 1.17) and 0.68(SD 0.94)kg/m², respectively (P<.01), and the body fat rate decreased by 1.69%(SD 2.24) in the online group and 2.25% (SD 3.20)in the offline group (P<.01). Several physical fitness indicators, such as muscle mass, increased significantly by an average of 1115.23 (SD 1765.42) g in the online group and 1377.74(SD 2203.05)g in the offline group (P<.05), and lung capacity improved by 536.82 (SD 745.55) and 450.35 (SD 664.47)ml in the online and offline groups, respectively (P<.05). The changes in these indicators between the online and offline groups were not significantly different (P>.05). Additionally, a dose-effect relationship was found between the amount of physical activity and the rate of change in body fat, with a 6.9% increase in the rate of change in body fat for every 1 MET*h increase in moderate-intensity physical activity, and a 5.4% increase in the rate of change in body fat for every 1 MET*h increase in high-intensity physical activity. Conclusions: Exercise intervention based on mHealth technology effectively improves the physical fitness of male college students with overweight and obesity, and the effect is consistent with offline intervention. There was a significant dose-effect relationship between the amount of physical activity and the rate of change in body fat, which provided a scientific basis for the development of personalized training programs.

Indexed as

ExerciseExercise TherapyObesityOverweightStudentsTelemedicineAdultBody Mass IndexHumansMaleMobile ApplicationsUniversitiesYoung Adultdose-effect relationshiphealth promotionmobile phonemonitoringphysical activity

Identifiers

PMID40743469
PMCPMC12312992

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.