The effects of nordic walking, high-intensity interval training, and moderate-to-vigorous intensity continuous training on arterial stiffness in patients with coronary artery disease
Notice bibliographique
Résumé
Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): The investigator-initiated research was supported by the Innovations Fund of the Alternate Funding Plan for the Academic Health Sciences Centres of the Ministry of Ontario (PIs: Pipe, Reed) and Heart and Stroke Foundation of Canada (PI: Reid). Background Coronary artery disease (CAD) is a leading cause of mortality worldwide. Arterial stiffness, a process associated with aging, arteriosclerosis, and arterial remodeling, is a strong and independent predictor of cardiovascular and all-cause mortality in patients with CAD. Moderate-to-vigorous intensity continuous training (MICT) has been shown to improve arterial stiffness parameters, including pulse wave velocity (PWV, i.e., the speed at which arterial pressure waves travel along the aorta and large arteries) and augmentation index (AIx: i.e., aortic pressure waveform) in the CAD population. Yet, the role of alternative exercise training approaches on arterial stiffness in patients with CAD has not been elucidated. Our recent study demonstrated greater improvements following Nordic walking (NW) compared to high-intensity interval training (HIIT) and MICT in functional capacity, quality of life, and depression severity in patients with CAD. No previous trial has compared the efficacy of NW, HIIT, and MICT in improving arterial stiffness in patients with CAD. Alternatives to traditional MICT, such as NW and HIIT, may provide superior understudied benefits on vascular health in patients with CAD. Purpose We compared the effects of 12 weeks of NW, HIIT, and MICT on arterial stiffness in patients with CAD. Methods Patients with CAD were randomly assigned to: (1) NW (walking with NW poles at a resting heart rate [RHR] + 20–40 bpm), (2) HIIT (aerobic exercise equipment: 4 × 4-min of high-intensity work periods at 85%–95% peak HR), or (3) MICT (aerobic exercise equipment: RHR + 20–40 bpm) twice weekly for 12 weeks. At baseline and week 12, aortic stiffness parameters were measured using a non-invasive device by stroke volume (SV), total vascular resistance (TVR), AIx with and without normalization for a HR of 75 bpm (AIX@75), and PWV. Linear mixed-effects models with repeated measures were used to compare groups over time. Results A total of 130 patients with CAD (aged 61 ± 7 years; male: 85%) were randomized to NW (n = 43), HIIT (n = 43), or MICT (n = 44). Table 1 shows that significant main effects of time were observed for SV (∆: 5.485 m/L, F = 8.530, p = 0.004), with a time × group interaction (F = 3.710, p = 0.027) revealing a greater improvement in SV following NW compared to HIIT (F = 5.748, p = 0.019) and MICT (F = 5.494, p = 0.022). A significant time × group interaction (F = 3.700, p = 0.028) was observed in AIx@75, with a greater reduction following NW than MICT (F = 7.388, p = 0.008). No significant differences were observed in TVR, AIx, and PWV. Conclusion Our findings show that NW facilitated greater improvements in SV and AIx@75 parameters of arterial stiffness, an important predictor of future cardiovascular events, when compared to HIIT and MICT in patients with CAD. NW may be considered as an alternative exercise training to improve vascular health in those with CAD.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».