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Enregistrement W2136478918 · doi:10.1177/2047487312453236

Recommendations for physical activity within the general population: is this all what we need to keep us healthy?

2012· letter· en· W2136478918 sur OpenAlexaboutno aff
Volker Adams, Sven Möbius‐Winkler

Notice bibliographique

RevueEuropean Journal of Preventive Cardiology · 2012
Typeletter
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePopulationPhysical activityMEDLINEIntensive care medicinePhysical therapyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

In the natural habitat of our ancestors, physical activity was not a preventive intervention but a matter of survival. From our genetic pool genes were selected which were very effective in regulating food intake and utilization. This was a clear survival advantage in periods of food deprivation, because they could rely on larger previously generated energy stores. Unfortunately, our selected gene pool has not changed dramatically since then, but we are no longer faced with long periods of food deprivation, and we are no longer forced to run several miles to chase our food. In addition to this ‘old’ genotype, physical inactivity is one important risk factor for the development of several diseases. Several landmark studies around 1990 clearly documented that physical inactivity is a modifiable risk factor for cardiovascular disease and several other chronic diseases, including diabetes mellitus, cancer, obesity, hypertension, bone and joint diseases, and depression. Immediately it became evident that increasing physical activity and exercise would be a powerful tool to reduce the overall incidence of cardiovascular and even all-cause mortality. Over the years many studies in more than 100,000 individuals have clearly documented that the higher the level of physical fitness, the less likely an individual will suffer premature cardiovascular death. The importance of fitness for the risk of overall death becomes very clear in one of the landmark studies of Jonathan Myers and colleagues in 2002. In this trial the authors studied a total of 6213 consecutive men referred for treadmill exercise testing. Among these individuals 3679 individuals had an abnormal exercise test result or a history of cardiovascular events. The rest were classified as healthy. Comparing the relative risk of a healthy but unfit individual with a fit subject but having signs for cardiovascular disease, the risk to die from any cause was much higher for the unfit healthy individual. This clearly shows that being unfit is even worse than being overweight, having diabetes or other risk factors for premature death. Therefore, improving fitness warrants at least as much attention as other risk factors, such as body mass index (BMI), smoking, diabetes or hypertension. Moreover, improving physical activity reduces these common risk factors and therefore may potentiate its beneficial effects. One challenging question of the present time is how much we have to exercise, how often and what kind of exercise is beneficial in influencing the relative risk of cardiovascular death. To answer this question maybe we should look back again to our ancestors to see what they did in their daily life. They walked longer distances and hunted for the food they needed. So one can imagine that if we were able to increase these forms of exercise, we may reach our goal. In 1995 the Centers for Disease Control and Prevention (CDC) and the American College of Sports Medicine (ACSM) published a recommendation stating that ‘Every US adult should accumulate 30 minutes or more of moderateintensity physical activity on most, preferably all, days of the week’. The purpose of these recommendations was to provide a clear and easy to understand guidance for the general population to engage in physical activity. This recommendation was updated in 2007 and specifically extended to adults aged 65 and over. In comparison with the recommendations of 1995, several important points were adjusted: (1) the frequency was fixed to 5 days per week, (2) vigorous-intensity physical activity was incorporated into what is complementary to moderate-intensity, (3) the recommended aerobic activity is in addition to routine daily activity, (4) musclestrengthening activities besides aerobic activities are recommended. In addition to all of the recommendations on physical activity for adults, the Canadian Society for Exercise Physiology (CSEP) recently published physical activity guidelines for children aged 0 to 4 years. In their recommendations they state that:

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,469
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,003
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 Opus0,063
Tête enseignante GPT0,342
Écart entre enseignants0,279 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations1
Publié2012
Routes d'admission1
Résumé présentoui

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Même revueEuropean Journal of Preventive CardiologyMême sujetObesity, Physical Activity, DietTravaux en français237 207