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Acute and Chronic Endothelial Responses to Home-based High Intensity Interval Training in Healthy Older Adults

2024· article· en· W4398175779 on OpenAlexaff
Stephanie Lapierre-Nguyen, Jin‐Su Kim, Chatchamarn Soonhuae, Yasemin Sakarya, Éléonor Riesco, Katherine Robinson, Victoria Brierley

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHigh-intensity interval trainingInterval trainingTraining (meteorology)MedicineGerontologyInterval (graph theory)Intensity (physics)Internal medicinePsychologyPhysiologyPhysical therapyCardiologyMathematicsGeographyPhysics

Abstract

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Advancing age is associated with endothelial dysfunction, a key early event in atherosclerosis development. Endurance exercise is recommended for cardiovascular disease prevention and some studies report endurance exercise training has beneficial effects on endothelial function in older adults. We have recently developed a supervised home-based exercise intervention using high intensity interval training on an all-extremity non-weight-bearing ergometer (HIIT-ANE). We tested the hypotheses that in healthy older adults: 1) endothelial function is improved in response to chronic HIIT-ANE, 2) the acute endothelial responses to HIIT-ANE are different in the trained and untrained states, and 3) the acute and chronic endothelial responses to HIIT-ANE are related. We assessed flow-mediated dilation (FMD), a measure of endothelial function, using brachial artery ultrasonography in twenty healthy sedentary older adults (age: 66±1, means ± SE; 11 postmenopausal women and 9 men). FMD was assessed: 1) in response to chronic HIIT-ANE (at baseline, after 8 weeks of normal lifestyle (control condition), and after 8 weeks of home-based HIIT-ANE) and 2) in response to a single session of HIIT-ANE (at pre-exercise, end of exercise and 1-hr and 24-hrs post-exercise), in the untrained and trained states. Following 8 weeks of HIIT-ANE, FMD was improved compared with baseline (3.39±0.30 vs. 4.18±0.46 %, P=0.005), but was not significantly changed from pre- to post-HIIT-ANE (3.68±0.44 vs. 4.18±0.46 %, P=0.3) or from baseline to post-control (3.39±0.30 vs. 3.68±0.44 %, P=0.4). In the untrained state, FMD was attenuated in response to a single bout of HIIT-ANE from pre- to 1-hr post-exercise (4.15±0.35 vs. 2.92±0.36 %, P=0.0004) and returned to pre-exercise level in 24-hrs post-exercise (4.15±0.35 vs. 3.98±0.40 %, P=1). In the trained state, the acute FMD response to HIIT-ANE was similar to the untrained state (P=0.6 for training state × time). The chronic change in FMD was inversely related with the acute change in FMD in the trained state (ρ=-0.70; p<0.001), but not in the untrained state (ρ=-0.12; P=0.6). Biological sex did not significantly influence the acute or chronic FMD responses to HIIT-ANE (P≥0.1). In healthy older adults: 1) FMD is improved following 8-weeks of home-based remotely supervised HIIT-ANE compared to baseline, 2) FMD is attenuated and normalized within 24 hours of a single session of HIIT-ANE, and 3) chronic changes in FMD are related to acute changes in FMD. This work was supported by the National Institute of Aging grant AG063143. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.802
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.018
GPT teacher head0.315
Teacher spread0.297 · 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.

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
Published2024
Admission routes1
Has abstractyes

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