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Record W4377988920 · doi:10.1093/eurjpc/zwad125.182

Sex differences in the change in cardiorespiratory fitness and quality of life following exercise training in adults with atrial fibrillation: a systematic review and meta-analysis

2023· review· en· W4377988920 on OpenAlexafffundabout
S Vidal Almela, Isabela Roque Marçal, Johnny Wong, Tasuku Terada, Bao Nguyen, Albert Marni Joensen, Jesse Bittman, M T Mills, Denis Prud’homme, Jennifer L. Reed

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2023
Typereview
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversité de MonctonUniversity of British ColumbiaUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsMedicineCardiorespiratory fitnessAnxietyDepression (economics)Meta-analysisAtrial fibrillationPhysical therapyQuality of life (healthcare)AnthropometryVO2 maxInternal medicineHeart rateBlood pressurePsychiatry

Abstract

fetched live from OpenAlex

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): University of Ottawa Heart Institute. Patients with atrial fibrillation (AF) often have poor cardiorespiratory fitness (CRF), quality of life (QoL) and mental health. Improving CRF through exercise training is an important AF management target associated with lower hospitalization and mortality rates. Emerging research indicates smaller CRF increases in females than males following exercise training. Yet, this has not been examined in those with AF. The primary aim was to compare changes in CRF (estimated or directly measured as peak oxygen consumption [VO2peak, mL O2/kg/min]) following exercise training between females and males with AF. We hypothesized that females would experience smaller CRF improvements. Secondary aims compared changes in functional capacity (6-minute walk test [6MWT] distance), QoL (SF-36), anthropometric and hemodynamic measures, and anxiety and depression (Hospital Anxiety and Depression Scale). Methods This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines and was registered with PROSPERO (#CRD42022302310). Five electronic bibliographic databases were searched to identify published and unpublished studies up to January 2022, with prospective cohort and experimental designs, implementing exercise training of any form ≥4 weeks, in adults with AF. When eligible studies did not segregate results by sex, authors were contacted to obtain their sex-specific data. Random-effects meta-analyses were performed to synthesize the measures of effect (i.e. mean difference [MD] in the changes between sexes following exercise). Results Our search identified 9,398 studies. Sex-specific data were obtained from 18/60 eligible studies (see Table 1), with 868 participants enrolled in an exercise training program (29% females, F: 69±7, M: 66±8 years old). Exercise interventions lasted between 6 weeks to 1 year and used mainly aerobic training of light to high intensity, 2 to 5 days/week. The change in VO2peak did not differ between sexes (MD=+0.25, 95% CI=−1.13 to +1.62 mL O2/kg/min, p=0.724; I²=33%, see Figure 1). There were no differences in changes in functional capacity (MD=−7.11, 95% CI=−22.56 to +8.34 m, p=0.367; I²=66%); Physical Component Summary (MD=+0.82, 95% CI=−1.72 to +3.36 points, p=0.526; I²=49%) and Mental Component Summary (MD=+1.03, 95% CI=−1.68 to +3.75 points, p=0.456; I²=46%) scores of the SF-36; body mass index (MD=−0.13, 95% CI=−0.94 to +0.68 kg/m², p=0.756; I²=0%); anxiety (MD=+0.22, 95% CI=−1.33 to +1.77 points, p=0.782; I²=39%) and depression (MD=-0.01, 95% CI=−1.64 to +1.63 points, p=0.995; I²=60%). Smaller reductions in SBP were found in females than males (MD=+3.11, 95% CI=0.14 to 6.09 mmHg, p=0.040, I²=42%). Conclusions This review addressed the lack of sex-based analyses in previous exercise studies in AF. We did not observe smaller changes in CRF in females. However, the underrepresentation of females in research continues to hinder establishing clear conclusions in sex-specific research.

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)0.022
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.557
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0190.006
Bibliometrics0.0010.001
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 head0.188
GPT teacher head0.372
Teacher spread0.183 · 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.

Study designSystematic review
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".

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Citations0
Published2023
Admission routes3
Has abstractyes

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