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Enregistrement W2329697246 · doi:10.1113/jp271039

CrossTalk opposing view: High intensity interval training does not have a role in risk reduction or treatment of disease

2015· article· en· W2329697246 sur OpenAlexaffabout
Tanya M. Holloway, Lawrence L. Spriet

Notice bibliographique

RevueThe Journal of Physiology · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiovascular and exercise physiology
Établissements canadiensUniversity of Guelph
Organismes subventionnairesnon disponible
Mots-clésHigh-intensity interval trainingInterval trainingMedicineEndurance trainingAerobic exerciseCardiologyDiseaseAnaerobic exercisePhysical therapyPhysical medicine and rehabilitationContinuous trainingInternal medicine

Résumé

récupéré en direct d'OpenAlex

Moderate-intensity continuous exercise has been used in clinical settings for decades and is known to have a plethora of benefits. The beneficial effects of endurance exercise are well documented: exercise adaptations result in mitochondrial biogenesis, increased skeletal muscle capillarization, improved vascular compliance, and increased stroke volume and cardiac output (Holloszy, 1973; Clausen, 1977). As a result, chronic endurance training (ET) is a well-known primary and secondary prevention tool for various pathologies, including, but not limited to, diabetes mellitus (Boule et al. 2001), hypertension (Cornelissen & Smart, 2013) and heart failure (HF) (Pina et al. 2003). Given the well-documented benefits of exercise on health, and the increasing incidence of lifestyle-related diseases, there is renewed interest in identifying the optimal exercise prescription. Two broad types of aerobic training have largely been represented in the literature: ET (∼50–80% ) and higher-intensity/explosive type training. The latter is further delineated as either sprint interval training (SIT; short bursts at > 100% ) or high-intensity interval training (HIIT; ∼90% ), characterized by brief, repeated bursts of intense exercise separated by periods of rest or low-intensity exercise (‘active recovery’). Recently, these programmes have been described as time efficient alternatives to traditional ET, as only 3–10 min of active exercise is required (Gillen & Gibala, 2014). To date, the majority of studies investigating the effects of HIIT have utilized young, healthy subjects, and therefore more research is required to elucidate the effects of HIIT in older and clinical populations (Gist et al. 2014). To examine the appropriateness of HIIT clinical settings of secondary prevention, we pose the following questions. What is the ‘goal’ of exercise training for clinical populations? Are the documented adaptations in skeletal and cardiac muscle following ET and HIIT comparable in models of cardiovascular disease? The overarching goal of secondary prevention programmes is risk factor reduction (e.g. reducing blood pressure (BP), blood glucose, etc.). Two important effects of ET are post-exercise hypotension and improved glucose tolerance, both of which are maintained for 12–24 h after an exercise bout. Given these effects, and their powerful role in risk reduction, it stands to reason that frequent exercise would be required to sustain any benefit derived, and the current recommendation for ET on ‘most, if not all, days of the week’ supports this supposition. However, while the recommendation for HIIT of 2–3 days per week plays a role in disease prevention, clinical populations may not benefit from the above-described effects on BP and glucose tolerance if HIIT is used in isolation. Reductions of 8.3 mmHg in systolic BP and 5.2 mmHg in diastolic BP have been documented in hypertensive individuals in response to ET (Cornelissen & Smart, 2013); however, the long-term effects of HIIT on BP are less clear. The Osaka Gas Company questionnaire showed that low-intensity walking had profound effects on the susceptibility to hypertension, and concluded that every 10 min increase in daily walking decreased the risk of hypertension by 12% (Hayashi et al. 1999). These data suggest that while 2–3 days of exercise at a higher intensity may be appropriate in healthy individuals, the use of HIIT alone is not optimal if reducing BP is a major goal of exercise training in a clinical population. In young, healthy subjects the metabolic effects of ET and HIIT appear to be equivalent in human skeletal muscle. Acutely, both types of exercise similarly activate signalling pathways that induce skeletal muscle adaptation (Gibala et al. 2009). Chronically, ET and HIIT result in comparable increases in skeletal muscle mitochondrial content, maximal activities of oxidative enzymes, the expression of plasma membrane transport proteins, glycogen content and 24 h post-exercise energy expenditure (Helgerud et al. 2007; Burgomaster et al. 2008; Skelly et al. 2014). However, in contrast to ET, the effects of HIIT on central parameters (e.g. stroke volume, cardiac output) are equivocal (Bacon et al. 2013; Gist et al. 2014; Weston et al. 2014), and there is limited evidence indicating the cellular effects of HIIT in rodent heart tissue and no evidence in human hearts. While the evidence on the effects of HIIT in complex clinical populations (e.g. HF) is sparse, a study by Wisloff et al. (2007) reported in patients with post-infarction HF that HIIT was superior to moderate ET with regards to left ventricular remodelling, aerobic capacity, endothelial function and quality of life. However, it is important to note that while infarctions affecting a large portion of the left ventricle (LV) are undoubtedly a basis for HF, the aetiology, disease progression and molecular fingerprint are fundamentally different from hypertrophy-related (hypertensive) HF. Of the limited studies that do exist, the data are difficult to interpret and inconsistent. HIIT was superior to ET in stable coronary artery disease patients; however, the ET was lower than what is generally clinically used (Rognmo et al. 2004), which is likely to explain why others have found no difference between HIIT and ET utilized in cardiac rehabilitation (Currie et al. 2014; Tschentscher et al. 2015). Smaller scale studies have demonstrated HIIT to be effective in overweight and obese individuals (Gillen et al. 2013) and those with type II diabetes mellitus (Gillen et al. 2012). Significant knowledge gaps exist on the effects of HIIT on cardiac morphology and disease progression in hypertension-induced HF, with only 200 combined HF patients studied to date (Pinkstaff, 2015). Despite the knowledge gaps identified, HIIT is recommend in the setting of cardiovascular diseases (Gielen et al. 2015). There is acknowledgement, however, regarding risk in low fitness populations: ‘it may also be prudent to include a preconditioning phase of training (moderate intensity endurance exercise) prior to initiating HIIT’ (Gillen & Gibala, 2014). This is an essential message, as higher baseline fitness level reduces risk associated with exercise-induced ischaemic events in clinical populations (Thompson et al. 2007). While clinicians and scientists await data elucidating the cellular and molecular effects of HIIT in human heart tissue, rodent studies have revealed a cautionary tale. Negative adaptations within rodent hearts as a result of exhaustive (Schultz et al. 2007; Benito et al. 2011; da Costa Rebelo et al. 2012), but not low intensity exercise training (Chicco et al. 2008) have been documented, eluding to the existence of an ‘intensity threshold’ in underlying pathological conditions. While ET decreases fibrosis and prevents pathological hypertrophy in rodent models of HF (Miyachi et al. 2009), the effects of HIIT on these molecular adaptations were largely unknown until recently. Our laboratory has provided evidence that in a rodent model of hypertension, ET had overall beneficial effects in both skeletal (Holloway et al. 2015a) and cardiac muscle (Holloway et al. 2015b), while in contrast HIIT did not. Specifically, in skeletal muscle, HIIT promoted a transition towards a more glycolytic phenotype and a reduced capillary-to-fibre ratio (Holloway et al. 2015a). In cardiac muscle, ET protected against LV hypertrophy and fibrosis, and promoted increased LV capillary-to-fibre ratios; however, HIIT promoted pathological adaptations in the LV of hypertensive rats (Holloway et al. 2015b). Therefore, it remains to be determined if HIIT represents an optimal secondary prevention strategy in the presence of existing cardiovascular disease. In summary, while ET has extensive effects in health and disease on both skeletal and cardiac muscle, the overall impact of HIIT remains to be fully elucidated in the presence of underlying pathology. Therefore, the positive effects of ET and the fact it can safely be performed daily should not be overlooked or forgotten. Furthermore, considering hypertension is the most common form of cardiovascular disease, it may be prudent to consider the evidence for an intensity threshold, before widely prescribing HIIT for risk reduction or treatment of disease. Readers are invited to give their views on this and the accompanying CrossTalk articles in this issue by submitting a brief (250 word) comment. Comments may be submitted up to 6 weeks after publication of the article, at which point the discussion will close and the CrossTalk authors will be invited to submit a ‘Last Word’. Please email your comment, including a title and a declaration of interest to jphysiol@physoc.org. Comments will be moderated and accepted comments will be published online only as ‘supporting information’ to the original debate articles once discussion has closed. Tanya M. Holloway completed her PhD training with Lawrence L. Spriet at the University of Guelph, Canada and recently began her postdoctoral training with Luc van Loon in Human Movement Sciences at Maastricht University, The Netherlands. Her research interests include investigating the effects of various cardiovascular diseases on skeletal and heart muscle, as well as examining if and how exercise may augment the effects of disease in these tissues. Her research interests are influenced by the 10 years she spent as a clinical exercise physiologist working with various cardiovascular patient populations including heart failure, pre/post-heart transplant and congenital patients. Dr. Lawrence L. Spriet is a Professor and Chair of the Department of Human Health and Nutritional Sciences in the College of Biological Science at the University of Guelph in Guelph, Canada. His research examines how skeletal muscle generates the large amounts of energy needed to perform whole-body exercise in sport and work situations. The pathways that metabolize carbohydrate and lipid as fuel to produce energy are studied in human skeletal muscle. He also examines how moderate aerobic training and high-intensity intermittent training can augment the ability of skeletal and heart muscles to provide the energy needed to improve performance. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. The authors have no competing interests. All authors have approved the final version of the manuscript and agree to be accountable for all aspects of the work. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. L.L.S. is funded by the Natural Science and Engineering Research Council of Canada, Grant Number 2032. T.M.H. was funded by an Ontario Graduate Scholarship, Government of Ontario, Canada

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,522
Score d'incertitude au seuil0,256

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,043
Tête enseignante GPT0,302
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations23
Publié2015
Routes d'admission2
Résumé présentoui

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Même revueThe Journal of PhysiologyMême sujetCardiovascular and exercise physiologyTravaux en français237 207