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Enregistrement W1971691332 · doi:10.1136/ewjm.174.4.282

Should people stretch before exercise?

2001· review· en· W1971691332 sur OpenAlexaff
Ian Shrier

Notice bibliographique

RevueWestern Journal of Medicine · 2001
Typereview
Langueen
DomaineMedicine
ThématiqueSports injuries and prevention
Établissements canadiensMcGill University Health Centre
Organismes subventionnairesnon disponible
Mots-clésPhysical medicine and rehabilitationComputer scienceMedicine

Résumé

récupéré en direct d'OpenAlex

Clinicians are under increasing pressure to base their treatment of patients on research findings—that is, to practice evidence-based medicine.1 Although some authors argue that only research from randomized clinical trials (RCTs) of humans should be used to determine clinical management,2 an alternative is to consider the study design (eg, RCT, cohort, basic science) as one of many variables, and that no evidence should be discarded a priori. The careful interpretation of all evidence is, and has always been, the real art of medicine.3 In this discussion, these concepts are explored using the sport medicine example of promoting stretching before exercise to prevent injury. A previous critical review of both clinical and basic science literature suggested that such stretching would not prevent injury.4 This conclusion was subsequently supported by a large RCT published 5 months later.5 Had the review relied only on previous RCT data, or even RCT and cohort data, the conclusions would likely have been the opposite—and incorrect. Was there ever any evidence to suggest that stretching before exercise prevents injury? In 1983, Ekstrand et al6 found that a group of elite soccer teams randomly selected for an intervention of warming up and stretching before exercise; using leg guards and special shoes; taping ankles; and undergoing controlled rehabilitation, education, and close supervision had 75% fewer injuries than the control group. One other RCT and a quasi-experimental study also supported this conclusion,7,8 and in both studies, at least warming up was a co-intervention. Clinical evidence suggesting that stretching before exercise does not prevent injuries has also been reported. van Mechelen et al9 conducted an RCT and concluded that the intervention had no effect, although many participants were noncompliant. Looking at “less strong evidence,” results of cohort studies by Walter et al10 and Macera et al11 suggested that stretching before exercise was not beneficial, and authors of several cross-sectional studies reported similar findings.12,13 There were significant limitations to all of these studies. In summary, the RCTs could easily be interpreted to suggest a probable effect using strict evidence-based medicine guidelines. The use of cohort studies may weaken the conclusion, but would be unlikely to reverse it. Understanding the basic scientific research places this clinical evidence in perspective and explains results that may appear contradictory. First, some people believe that a compliant muscle is less likely to be injured. From the basic science research, we find that an increase in tissue compliance due to temperature,14 immobilization,15 or fatigue16,17 is associated with a decreased ability to absorb energy. Although increased compliance is not the equivalent of stretching, no basic science research shows that an increase in compliance is associated with a greater ability to absorb energy. Second, most injuries are believed to occur during eccentric contractions,18 which can cause damage within the normal range of motion because of heterogeneity of sarcomere lengths.19,20,21,22 If injuries usually occur within the normal range of motion, why would an increased range of motion prevent injuries? Third, even mild stretching can cause damage at the cytoskeletal level.23 Fourth, stretching some-how increases tolerance to pain—that is, it has an analgesic effect.24,25,26 It does not seem prudent to decrease one's tolerance to pain, possibly create some damage at the cytoskeletal level, and then exercise this damaged anesthetized muscle. Of note, no basic science evidence suggests that stretching would decrease injuries. Finally, some basic science data suggest that a warmup may help to prevent injuries.27 A review of these principles helps to explain the apparent contradiction in the clinical literature. Reexamining the RCTs that support stretching before exercise reveals that all of them included at least 1 other effective co-intervention—for example, warmup, leg guards, etc.6,7,8 Therefore, it is not surprising that fewer injuries were recorded in the intervention group. On the other hand, the cohort studies10,11 and the RCT by van Mechelen et al9 controlled for these co-interventions in the analysis stage. Therefore, although formally of a “weaker design,” the studies suggesting that stretching before exercise is not beneficial should be weighted as stronger because the analysis was more appropriate. In conclusion, the strength of any literature review can be gauged by its ability to predict what future research studies eventually show. The inclusion of all the evidence available on stretching before exercise led to a conclusion that was supported by a subsequent, well-conducted, large RCT. Had the evidence in the review article4 been limited to only RCTs, as proposed by some authors, the conclusion would have probably been different and inaccurate. Much of medicine in general, and sport medicine in particular, is based on historical precedent. When historical precedents are based solely on hypotheses that have more recently been proved incorrect, clinicians must choose to continue treatment on the basis of a known incorrect idea of pathophysiology or change to a treatment based on current knowledge of pathophysiology and pathobiology. The potential side effects of any new treatment (likely to be unknown) must also be weighed against the potential side effects of the historical treatment (more likely to be known). The art, and even science, of medicine then becomes the ability to weigh all the available information at hand without discriminating a priori, and to be able to judge which is most appropriate for the patient.

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 candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,977
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0040,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,075
Tête enseignante GPT0,402
Écart entre enseignants0,327 · 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.

Devis d'étudeAutre devis
Domainenon disponible
GenreSynthèse

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

En bref

Citations6
Publié2001
Routes d'admission1
Résumé présentoui

Explorer davantage

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