MétaCan
Menu
Retour à la cohorte
Enregistrement W3018084898 · doi:10.14288/hfjc.v12i3.278

Can regular physical activity prevent obesity? 3: Empirical longitudinal evidence of its efficacy.

2019· article· en· W3018084898 sur OpenAlexaboutno aff
Roy J. Shephard

Notice bibliographique

RevueOpen Collections · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPhysical activityObesityMedicineCategorizationLongitudinal studyChildhood obesityPhysical fitnessPhysical therapyPsychologyGerontologyDevelopmental psychologyOverweightInternal medicine

Résumé

récupéré en direct d'OpenAlex

Objective. The objective of this narrative review is to examine longitudinal data pointing to the efficacy of adequate daily physical activity in the prevention of obesity. Methods. Information obtained from Ovid/Medline, Pub-Med and Google Scholar through to April 2019 has been supplemented by a search of the author's extensive personal files. Results. Babies that have a high level of spontaneous physical activity generally accumulate less body fat then their peers over the first few years of life. However, there is little evidence of a favourable response to supplementary exercise programmes in pre-school children, perhaps because of practical difficulties in augmenting habitual physical activity in this age group. Summer "obesity camps" for older children usually induce a substantial immediate decrease of both body mass and tissue fat stores, but it is unclear how far this reflects dietary restrictions at the camp rather than an increase of physical activity in this environment. Five of 8 uncontrolled longitudinal studies of children and adolescents with subjective assessments of habitual physical activity found no beneficial changes of body composition in individuals who were physically more active, as opposed to 3 positive reports (one of these seeing benefits in girls only). However, perhaps because more accurate categorization of exercise levels was possible, benefit was demonstrated in 8 of 10 trials of children with objective assessments of habitual physical activity. Fifteen of 26 trials of children and adolescents with group programme assignment also found a better body composition in those assigned to groups that were more physically active, although participants in 9 of thes 15 trials were given not only an increase of physical activity, but also dietary advice and/or a restriction of food intake. Cohort studies in adults have found fairly consistently that regular physical activity reduces obesity or prevents the increase of body fat content usually associated with aging; benefit was seen in 14 of 17 studies of young adults, and 20 of 21 groups of middle-aged and older individuals. The portion of the day allocated to sedentary behaviour has also been associated with the development of obesity in 4 of 6 studies in children, and 10 of 13 trials in adults. Likewise, the transition from physically active hunting and gathering to an "urban" lifestyle has been associated with an accumulation of body fat in arctic Inuit. In children, randomized controlled trials have shown beneficial changes in body composition from interventions only when the intervention has been effective in achieving a substantial increase of daily physical activity. However 27 of 31 controlled studies of adults have demonstrated a reduction of body fat content in response to a variety of exercise initiatives. It is more difficult to assign a vigorous exercise programme to the frail elderly, and in this age group there has as yet been little study of the potential to reduce body fat by an increase in physical activity, although this would confer obvious functional benefit on those with limited muscle strength. Conclusions. Both in children and in adults, the bulk of prospective and controlled trials point to the efficacy of adequate volumes of regular exercise in both the prevention and the control of obesity. But as with initiatives based on rigorous dieting, the challenge to health professionals is to sustain the enthusiasm of clients over a sufficient period for a programme to take effect and to become a part of the individual's normal lifestyle.

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)0,000
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,559
Score d'incertitude au seuil0,867

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
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 Opus0,060
Tête enseignante GPT0,362
Écart entre enseignants0,302 · 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'étudeObservationnel
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

Citations1
Publié2019
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueOpen CollectionsMême sujetObesity, Physical Activity, DietTravaux en français237 207