MétaCan
Menu
← Back to cohort

Effects Of Inspiratory Muscle Training On Inspiratory And Locomotor Muscle Hemodynamics During Exercise In Men

2016· article· en· W2493981323 on OpenAlexaff
Andrew H. Ramsook, Yannick Molgat‐Seon, Michele R. Schaeffer, Nafeez Syed, Sabrina S. Wilkie, Lee M. Romer, Pat G. Camp, W. Darlene Reid, Jordan A. Guenette

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2016
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineParasternal lineCardiologyHemodynamicsInternal medicineAnesthesiaPhysical therapy

Abstract

fetched live from OpenAlex

High levels of respiratory muscle work may elicit a redistribution of blood flow from the locomotor to the respiratory muscles during exercise. It is unknown if specific inspiratory muscle training (IMT) can attenuate this response during high-intensity, whole-body exercise. PURPOSE: To examine the hemodynamic responses of multiple inspiratory muscles and the vastus lateralis (VL) during incremental cycling before and after 5 weeks of IMT. METHODS: After a comprehensive familiarization visit, 25 recreationally active healthy men (mean±SD; age=24±4; maximal aerobic power (V[Combining Dot Above]O2max)=52±10 ml·kg-1·min-1) completed two maximal incremental cycle exercise tests (25W/2min steps) separated by 5 weeks of pressure threshold IMT or sham-control training (SC). The IMT group (n=12) performed 30 inspiratory efforts twice daily against a minimum resistance of 50% of maximum inspiratory pressure (MIP), adjusted weekly. The SC (n=13) group performed a daily bout of 60 inspiratory efforts against 10% MIP using the same device with no weekly adjustments. During the incremental cycle tests, participants were instrumented with NIRS optodes on the sternocleidomastoid (SCM), parasternal intercostals (PIC), 7th intercostal space (7IC), and VL to measure changes in oxygenated, deoxygenated, and total hemoglobin (tHb) concentrations. RESULTS: The IMT and SC groups were well matched for age, height, mass, and V[Combining Dot Above]O2max. There was a significant increase in MIP in the IMT group (mean±SD, 135±44 vs. 159±35 cmH2O, p<0.05) but not in the SC group (134±39 vs. 134±44 cmH2O, p>0.05). No differences were detected when comparing pre vs. post-IMT for any NIRS derived variables at relative percentages of maximal work rate (20, 40, 60, 80,100%) for any muscle in both the IMT and SC groups. The tHb (muscle blood volume) at the highest equivalent absolute work rate achieved by an individual on each test in the IMT group (pre vs. post-IMT) was 3±15 vs. 1±25, 1±9 vs. 2±11, -6±12 vs. -6±12, and 12±10 vs. 11±9[INCREMENT]μM whereas the SC group was 2±11 vs. 3±6, 1±9 vs. 4±8, -6±6 vs. -6±8, and 12±8 vs. 9±10[INCREMENT]μM in the SCM, PIC, 7IC, and VL, respectively (all p>0.05). CONCLUSION: Five weeks of pressure-threshold IMT had no effect on respiratory or locomotor muscle hemodynamics during incremental cycle exercise in healthy recreationally active men. Supported NSERC

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.013
GPT teacher head0.272
Teacher spread0.259 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMedicine & Science in Sports & Exercise→Same topicChronic Obstructive Pulmonary Disease (COPD) Research→French-language works237,207→