The Effects of Short‐Term High‐Intensity Interval Versus Moderate‐Intensity Continuous Training on Vascular Function in Older Adults
Notice bibliographique
Résumé
In younger adults, high‐intensity interval training (HIIT) improves aerobic fitness and upper limb vascular health more than moderate‐intensity continuous training (MICT). However, it is unclear whether these superior HIIT‐mediated improvements can be translated to an older adult population. Additionally, there is a paucity of research comparing HIIT versus MICT within lower‐limb vascular beds, which are more susceptible to the development of atherosclerosis. We tested the hypothesis that six‐weeks of HIIT would improve brachial (BA) and popliteal artery (PA) endothelial function more than MICT in older adults. Aerobic fitness (VO 2 peak) and vascular function were assessed before and after exercise training in 15 older adults (HIIT: n=6, 2♂, 66±6 years, BMI=26±3 kg/m 2 ; MICT: n=9, 3♂, 69±7 years, BMI=26±3 kg/m 2 ). The supervised exercise programs were conducted 3 days/week. HIIT consisted of two, 20 minute bouts separated by 5‐minutes of passive recovery, each bout was comprised of repeated 15‐second intervals alternating between 100% maximal power output and passive recovery. MICT bouts were isocaloric to HIIT and consisted of continuous exercise at 60% of maximal power for 34 minutes. Vascular function was examined using the flow‐mediated dilation (FMD) technique in the BA and PA via high‐resolution duplex ultrasonography. Nitroglycerin‐mediated dilation (NMD, 4 mg sublingual spray) was also assessed in the PA as a measure of endothelial‐independent dilation. VO 2 peak improved 21% following HIIT (22±7 to 28±7 mlO 2 /kg/min) and 25% after MICT (23±4 to 28±7 mlO 2 /kg/min). Similar increases (both, p<0.05) in BA‐FMD and PA‐FMD were observed following HIIT and MICT. Specifically, BA‐FMD increased from 4.3±1.7% to 6.9±1.6% and 4.7±1.9% to 7.1±1.7% after HIIT and MICT, respectively. PA‐FMD improved from 2.3±1.3% to 4.1±1.4% after HIIT and from 2.0±0.9% to 3.5±1.5% after MICT. No changes in resting BA and PA diameters, nor PA‐NMD were observed in either group (all p>0.05). These data suggest that 6‐weeks of HIIT and MICT produce similar improvements in aerobic fitness, upper‐ and lower‐limb vascular endothelial function in older adults. The relatively short training period may have limited our ability to detect differences in these outcomes between HIIT and MICT, as well as, to observe aerobic training‐induced arterial structural adaptations in older adults. These findings enforce the beneficial effects of aerobic exercise training as a primary component of healthy aging. Support or Funding Information Support provided by: Canadian Foundation for Innovation: Leaders Opportunity Fund, Faculty of Health Professions Research Development, and NSHRF Development/Innovation grants. MWO was a recipient of a NS Graduate Scholarship, NSHRF Scotia Scholar Award and Heart & Stroke BrightRed Award. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».