Evidence map›Paper›PMID 41783703›Full record

SynthesisFrontiers in public health2026

Network meta-analysis and dose-response analysis of exercise on sleep quality and BMI in obese populations.

Hongfei Wang, Jiaxin Wang, Lunan Zhao, Yongliang Zhu

Erratum issuedAbstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hongfei WangCollege of Physical Education and Sport Science, Qufu Normal University, Qufu, China.
Jiaxin WangCollege of Physical Education and Sport Science, Qufu Normal University, Qufu, China.
Lunan ZhaoCollege of Physical Education and Sport Science, Qufu Normal University, Qufu, China.
Yongliang ZhuSchool of Competitive Sport, Shandong Sport University, Rizhao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Exercise is key to ameliorating sleep disorders in obese populations; however, the relative benefits of different exercise modes and the optimal dosage remain unclear. This study aims to systematically evaluate the relative efficacy and dose-response characteristics of seven exercise interventions on sleep quality (Pittsburgh Sleep Quality Index [PSQI]) and body mass index (BMI) in overweight and obese populations via network meta-analysis (NMA). Methods: This study strictly adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and systematically searched nine databases, including PubMed, Embase, and China National Knowledge Infrastructure (CNKI), from inception to 15 October 2025. Randomized controlled trials (RCTs) evaluating the effects of the aforementioned exercise interventions on sleep quality (primarily PSQI) or body mass index (BMI) in overweight or obese individuals were included. Network meta-analysis was conducted using Stata 18.0 software. The standardized mean difference (SMD) was used as the effect size, and interventions were ranked using the Surface Under the Cumulative RAnking curve (SUCRA). Results: The network meta-analysis revealed that combined aerobic and resistance training (ART, SUCRA ≈ 77.1%) and resistance training (RT, SUCRA ≈ 75.2%) were significantly superior to other interventions in improving sleep quality. Conversely, erobic Exercise (AE, SUCRA ≈ 74.0%) was most effective in reducing BMI. Dose-effect analysis indicated that improvements in sleep quality did not exhibit significant linear dose-dependency ( Conclusion: Exercise interventions demonstrate significant specificity in their benefits for health outcomes in obese populations. Resistance and combined training are recommended as the preferred strategies for improving sleep, with benefits depending more on the mode than on high cumulative dosage. Conversely, aerobic exercise is the optimal protocol for weight loss, provided the exercise volume is controlled within the optimal dosage window to maximize returns. These findings offer evidence-based grounds for clinical practice to formulate differentiated and precise exercise prescriptions for obesity and sleep management. Systematic review registration: www.crd.york.ac.uk/prospero, identifier CRD420251251401.

Indexed as

Body Mass IndexExerciseObesitySleep QualityHumansRandomized Controlled Trials as Topicbody mass indexdose–response relationshipexercisenetwork meta-analysisobesityrandomized controlled trialssleep quality

Identifiers

PMID41783703
PMCPMC12954774

What OpenQuestion holds

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Registered trials

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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.