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Effect Of Inspiratory Muscle Training On Respiratory Muscle Metaboreflex During Resistive Breathing: Influence Of Sex

2025· article· en· W4414241931 on OpenAlexaffabout
Viviana J. Shiffman, Rachel A. Jackman, Jem Arnold, Sierra R. Arn, Jordan A. Guenette, Lee M. Romer, A. William Sheel

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBlood pressureRespiratory systemHeart rateMean arterial pressureHemodynamicsVentilation (architecture)Resistive touchscreen

Abstract

fetched live from OpenAlex

Mean arterial pressure (MAP) during inspiratory pressure threshold loading (IPTL) is greater in young adult males compared to females. Pressure threshold inspiratory muscle training (PT-IMT) attenuates MAP during IPTL in males, and this reduction persists after 5 wk of detraining (DT). Given that males have a greater MAP during IPTL than females, they may show a larger training response to PT-IMT. PURPOSE: To determine whether PT-IMT attenuates MAP during IPTL to a greater degree in males than females and remains low after DT. METHODS: Healthy participants (4 M, 5F; 25 ± 3 y) were instrumented with balloon catheters to measure esophageal, gastric, and transdiaphragmatic pressures. Participants performed IPTL (60% maximal inspiratory pressure (MIP), 0.7 inspiratory duty cycle, 15 breaths/min) until volitional exhaustion while beat-by-beat blood pressure and heart rate (HR) were measured. Participants performed PT-IMT (2 sets of 30 breaths at 50% MIP) 5 times/wk for 5 wk. MIP was assessed on a weekly basis to adjust training load. After 5 wk of PT-IMT and 5 wk of DT, participants repeated the baseline measurements. RESULTS: PT-IMT adherence was 95% (range = 86-100%) and MIP significantly increased (F = +16cmH2O, M = +27cmH2O, p < 0.05), and remained elevated after DT (F = +8cmH2O, M = +22cmH2O, p < 0.05). Pulmonary function, HR, and pressure-time product of respiratory pressures during IPTL were unaltered by PT-IMT (p > 0.05). Time-to-exhaustion (TTE) during IPTL increased from pre-to post-training (F = +27.8 min, M = +18.0 min, p < 0.05) and remained elevated after DT (F = +13.7 min, M = +10.2 min, p < 0.05). Using a linear mixed-effects model, the MAP during IPTL at the highest iso-time was significantly reduced post training (F = -5.1 mmHg, M = -12.2 mmHg, p < 0.05) and DT (F = -2.7 mmHg, M = -9.6 mmHg, p < 0.05). Males showed a larger attenuation of the MAP slope to IPTL after PT-IMT (-11.7 mmHg/%TTE, p < 0.05) compared to females (-5.4 mmHg/%TTE, p < 0.05). After DT, MAP during IPTL in males rose (+2.2 mmHg/%TTE, p < 0.05), whereas females maintained their MAP response (+1.1 mmHg/%TTE, p > 0.05) compared to post training. CONCLUSION: These findings demonstrate that females and males reduce their MAP during IPTL after PT-IMT. However, the inherent attenuation of MAP to IPTL in females lessens their adaptation to PT-IMT compared to males. Supported by: Natural Sciences and Engineering Research Council of Canada

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.302
Teacher spread0.287 · 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 designObservational
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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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