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The Effects of Exercise Training on Oxygen Uptake Kinetics in Post-menopausal Women

2006· article· en· W1978664430 on OpenAlexaff
Liza Stathokostas, John M. Kowalchuk, Robert J. Petrella, Donald H. Paterson

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsWestern University
Fundersnot available
KeywordsCycle ergometerMedicineVentilatory thresholdVO2 maxIncremental exercisePhysical therapyLactate thresholdInternal medicineCardiologyBlood lactateHeart rateBlood pressure

Abstract

fetched live from OpenAlex

Adaptations to exercise training in older women differ from those observed in men. Additionally, adaptations in older women may be dependent on hormone status, since for example, blood flow delivery (i.e. O2 delivery) to working limb muscles has been shown to be dependent on hormone status. Research is lacking regarding exercise training and O uptake (VO2) kinetics in post-menopausal women. PURPOSE: To describe the effects of exercise training on VO2 kinetics in women and to determine if hormone replacement therapy (HRT) influences training adaptations. METHODS: Prior to, and following exercise training, 15 sedentary post-menopausal women (7 nonHRT, age 56 ± 4yr; and 8 HRT, age 60 ± 5yr) performed an initial fatigue-limited ramp cycle test and, on other days, 4–6 step-transitions (6 min) from 15 W to moderate-intensity (80% lactate threshold) constant-load exercise on a cycle ergometer. Exercise training sessions were 30 min, conducted 3 times per week for 6 weeks on a cycle ergometer. VO2 was measured breath-by-breath. Data were interpolated, time-aligned, and ensemble-averaged into 5-s time bins. Phase II VO2 kinetics (τVO2) were estimated using a mono exponential model and nonlinear regression techniques, with data fit from the phase 1 – phase 2 transition to 4 min exercise. RESULTS: Pre-training VO2peakwas 21±3 ml kg−1·min−1 (mean± SD) and was similar between nonHRT (21 ±3) and HRT (21 ±3). After training, VO2peak increased ∼12%. τVO2decreased∼31%(pre: 46 ±8s; post: 32 ±4s) (p<0.01). nonHRT and HRT showed similar speeding of τVO2of 30% (45 ±9s to 32 ±6 s) and 34% (47 ±7s to 31 ±3s) respectively. The τHR2 did not change (p=0.058) from pre- (38 ±9s) to post-training (36 ±5s) in either group. The decrease in τVO2 was correlated to the increase in VO2peak (p<0.037), but only 13% of the variance was explained. The change in the τVO2was not correlated with the change in τHR (p=0.055). CONCLUSIONS: Six weeks of exercise training resulted in appreciably faster phase II VO2 kinetics during moderate exercise in older women. The speeding of τVO2 was similar to that reported for older men (Babcock et al., 1994), with τVO2 approaching values seen in young adults. The speeding of τVO2was not affected by HRT. Supported by 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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
Published2006
Admission routes1
Has abstractyes

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