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Record W4224251306 · doi:10.21037/atm-22-1170

Can long-term regular physical activity improve health outcomes among adults with asthma—evidence from a systematic review and Bayesian meta-analysis

2022· review· en· W4224251306 on OpenAlexaboutno aff
Shengqiao Shi, Hui Huang, Rui Zheng, Ningjie Zhang, Wei Dai, Jinghong Liang, Yuanrong Dai

Bibliographic record

VenueAnnals of Translational Medicine · 2022
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAsthmaMeta-analysisRandomized controlled trialCochrane LibraryQuality of life (healthcare)MEDLINESystematic reviewPsychological interventionPhysical therapyStrictly standardized mean differencePediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Background: Evidence on the effects of regular physical activity (PA) on asthmatic adults is rather weak and inconsistent since previous studies were conducted based on the limited studies, various populations groups and single outcome. A systematic review (SR) and meta-analysis have a high level of evidence to comprehensively evaluate the effects of PA for adults with asthma based on the available data. Our study aims to provide an SR of available evidence regarding the effect of regular PA on asthma in adults. Methods: A comprehensive search strategy was conducted using the PubMed, EMBASE, Cochrane Library, and Web of Science databases from their inception to October 2021. We identifying the eligible studies based on the PIOS principles, namely, populations (adults with asthma), interventions (regular PA), outcomes (quality of life or relapse-related outcomes), study design [randomized controlled trials (RCTs)]. A Bayesian-based meta-analysis was performed to pool available evidence. Quality assessment for individual studies was performed with the Cochrane risk of bias tool and the Newcastle-Ottawa Scale (NOS). Results: A total of 22 publications (18 RCTs and 4 longitudinal studies) were identified, comprised of 85,392 individuals aged between 18 and 75 years old. Overall quality of the included studies was rated as low-to-moderated quality. We found that PA was effective in improving quality of life (QOL) [health related quality of life, (HRQoL) & Asthma Control Questionnaire, (ACQ): standard mean difference (SMD) =−0.80, 95% credible interval (CrI): −1.30 to −0.31; I2=86.9%, Pheterogeneity<0.001], pulmonary function (FEV1/pred) [weighted mean difference (MD) =0.47, 95% CrI: 0.03 to 0.90; I2=74.9%, Pheterogeneity<0.001], and maximal oxygen consumption (VO2max) (MD =1.18, 95% CrI: 0.87 to 1.48; I2=17.0%, Pheterogeneity=0.31). Based on the longitudinal studies, the long-term high-level PA group had a lower risk of developing asthma compared with the low-level PA group [odds ratio (OR) =0.87, 95% CrI: 0.78 to 0.95; I2=27.4%, Pheterogeneity=0.22)]. Discussion: Adults with asthma need to carried out regular PA in accordance with the recommendations, which will improve their QOL and pulmonary function, and moreover, long-term PA appears to be more beneficial for asthmatic patients. The quality and quantity of included studies might affect the interpretation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.055
metaresearch head score (Gemma)0.143
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.055
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.143
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0220.043
Bibliometrics0.0150.010
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0040.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.145
GPT teacher head0.417
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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

Citations15
Published2022
Admission routes1
Has abstractyes

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