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Record W4408393781 · doi:10.2147/jpr.s505397

Effect of Physical Activity on Chronic Widespread Pain: Insights From Meta-Analysis and Two-Sample Mendelian Randomization

2025· article· en· W4408393781 on OpenAlexaff
Chongjie Yao, Yuchen Zhang, Sizheng Steven Zhao, Pingping Sun, Lingjun Kong, Jiming Tao, Jingxian Li, Min Fang, Qingguang Zhu

Bibliographic record

VenueJournal of Pain Research · 2025
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of Ottawa
FundersManchester Biomedical Research CentreShanghai University of Traditional Chinese MedicineChina Postdoctoral Science FoundationNational Natural Science Foundation of ChinaJiangxi University of Traditional Chinese MedicineNational Institute for Health and Care ResearchPain Relief Foundation
KeywordsMedicineMendelian randomizationMeta-analysisChronic painSample (material)Sample size determinationBioinformaticsPhysical therapyGeneticsInternal medicineStatisticsGeneGenetic variantsGenotype

Abstract

fetched live from OpenAlex

Background: Chronic widespread pain (CWP) is a core symptom of fibromyalgia that is associated with significant morbidity and mortality. Despite the widespread recommendation for physical activity (PA) in management, the heterogeneity of PA prescriptions limits the in-depth evaluation of its efficacy. By triangulating clinical interventional evidence with human genetic evidence, the aim of this study was to investigate the role of influencing factors such as PA mode, course of treatment, and intensity on PA in the prevention and treatment of CWP. Methods: Ten international and regional databases were searched for articles published between January 2014 and July 2024. Randomized control trials with CWP or fibromyalgia as an entry criterion and PA as an intervention were included. Meta-analyses were performed using fixed- or random-effects models based on heterogeneity, and subgroup analyses were conducted. Mendelian randomization (MR) was used to estimate the effects of the genetic variants linked to PA intensity on CWP risk. Results: The analysis included 11 studies with 540 participants. PA effectively improved pain perception (MD: -1.47; 95% CI: -2.23, -0.72), depression (MD: -4.77; 95% CI: -7.40, -2.14), and overall quality of life (SMD: -1.43; 95% CI: -2.16, -0.69). MR analysis revealed that several PA intensities were associated with reduced susceptibility to CWP: walking for pleasure (OR: 0.950; 95% CI: 0.934-0.966), light do-it-yourself (DIY) (OR: 0.976; 95% CI: 0.961-0.992), strenuous sports (OR: 0.923; 95% CI: 0.880-0.967), and other exercises (OR: 0.957; 95% CI: 0.942-0.973). Conclusion: PA interventions are beneficial for reducing pain perception and mood disorders and enhancing the quality of life of patients with CWP. A treatment course of approximately three months is preferable, with Ba-Duan-Jin potentially more effective than other PAs, and high-intensity PA offers the most significant protective effect against CWP.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.416
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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