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Interval Exercise Induces Greater Changes In Post-exercise Metabolism Compared To Submaximal Exercise In Middle-aged Adults

2023· article· en· W4387062566 on OpenAlexaff
Seth F. McCarthy, Claudia Jarosz, Emily J. Ferguson, Kenji A. Kenno, Tom J. Hazell

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of WindsorQueen's UniversityWilfrid Laurier University
Fundersnot available
KeywordsSprintRespiratory exchange ratioHigh-intensity interval trainingHeart rateMedicineInterval trainingVO2 maxInternal medicineExercise intensityPhysical therapyEndurance trainingCardiologyBlood pressure

Abstract

fetched live from OpenAlex

Exercise intensity induces a dose-response on post-exercise metabolism in young adults (18-25 y) with greater perturbations following high-intensity interval training (HIIT) and sprint interval training (SIT) exercise compared to moderate-intensity continuous training (MICT) exercise, however few studies have investigated this in middle-aged adults where combatting a positive energy balance is of great importance. PURPOSE: To examine the effect of submaximal, near maximal, and supramaximal intensity exercise on post-exercise metabolism in middle-aged adults. METHODS: 11 participants (male: 4, female: 7; age: 46 ± 10 y; V̇O2max: 34.37 ± 9.22 mL·kg-1·min-1; body mass index: 26.4 ± 2.7 kg·m-2) had their oxygen consumption (V̇O2) measured during and for 2 h following 4 experimental sessions: 1) no-exercise control (CTRL); 2) MICT exercise (30 min at 65% V̇O2max); 3) HIIT exercise (10 x 1 min at 90% heart rate maximum with 1 min recovery); and 4) modified-SIT exercise (8 x 15 s “all-out” effort with 2 min recovery). Between session differences for V̇O2, fat oxidation, respiratory exchange ratio, and heart rate were compared using two-way repeated measured analysis of variance. RESULTS: O2 consumed post-exercise was elevated during the 1st h following HIIT (16.0 ± 2.6 L; P = 0.042, d = 1.00) and modified-SIT (17.1 ± 3.4 L; P = 0.013, d = 1.23) exercise compared to CTRL (13.3 ± 1.9 L) and stayed elevated during the 2nd h following HIIT (14.8 ± 2.4 L) exercise compared to CTRL (12.0 ± 2.3 L; P = 0.083, d = 0.90). Total excess post-exercise oxygen consumption was elevated following modified-SIT exercise only (7.1 ± 7.0 L, P = 0.013, d = 1.07). Modified-SIT exercise increased fat oxidation (main effect of session; 0.101 ± 0.019 g·min-1) compared to all sessions post-exercise (CTRL: 0.057 ± 0.021 g·min-1; MICT: 0.071 ± 0.017 g·min-1; HIIT: 0.077 ± 0.016 g·min-1; P < 0.007, d > 1.30) with HIIT exercise increased fat oxidation compared to CTRL (main effect of session: P = 0.096, d = 0.87). CONCLUSION: Exercise intensity is an important factor to consider for changes in post-exercise metabolism in middle-aged adults with greater changes following HIIT and modified SIT exercise. Overall, our results align with data from younger recreationally active populations although they are more muted.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.030
GPT teacher head0.282
Teacher spread0.251 · 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 designNon-randomized trial
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
Published2023
Admission routes1
Has abstractyes

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