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Enregistrement W2006080351 · doi:10.1002/ebch.461

Cochrane review: School‐based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6‐18

2009· article· en· W2006080351 sur OpenAlexaff
Maureen Dobbins, Kara DeCorby, Paula Robeson, Heather Husson, Daiva Tirilis

Notice bibliographique

RevueEvidence-Based Child Health A Cochrane Review Journal · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionData extractionMedicineSystematic reviewPhysical fitnessIntervention (counseling)Public healthPhysical activityMEDLINEGerontologyFamily medicinePsychologyPhysical therapyNursing

Résumé

récupéré en direct d'OpenAlex

Abstract Background The World Health Organization estimates that 1.9 million deaths worldwide are attributable to physical inactivity. Chronic diseases associated with physical inactivity include cancer, diabetes and coronary heart disease. Objectives The purpose of this systematic review is to summarize the evidence of the effectiveness of school‐based interventions in promoting physical activity and fitness in children and adolescents. Search strategy The search strategy included searching several databases. In addition, reference lists of included articles and background papers were reviewed for potentially relevant studies, as well as references from relevant Cochrane reviews. Primary authors of included studies were contacted as needed for additional information. Selection criteria To be included, the intervention had to be relevant to public health practice, implemented, facilitated, or promoted by staff in local public health units, implemented in a school setting and aimed at increasing physical activity, report on outcomes for children and adolescents (aged 6 to 18 years), and use a prospective design with a control group. Data collection and analysis Standardized tools were used by two independent reviewers to rate each study's methodological quality and for data extraction. Where discrepancies existed discussion occurred until consensus was reached. The results were summarized narratively due to wide variations in the populations, interventions evaluated and outcomes measured. Main results 13,841 titles were identified and screened and 482 articles were retrieved. Multiple publications on the same project were combined and counted as one project, resulting in 395 distinct project accounts (studies). Of the 395 studies 104 were deemed relevant and of those, four were assessed as having strong methodological quality, 22 were of moderate quality and 78 were considered weak. In total 26 studies were included in the review. There is good evidence that school‐based physical activity interventions have a positive impact on four of the nine outcome measures. Specifically positive effects were observed for duration of physical activity, television viewing, VO 2 max, and blood cholesterol. Generally school‐based interventions had no effect on leisure time physical activity rates, systolic and diastolic blood pressure, body mass index, and pulse rate. At a minimum, a combination of printed educational materials and changes to the school curriculum that promote physical activity result in positive effects. Authors' conclusions Given that there are no harmful effects and that there is some evidence of positive effects on lifestyle behaviours and physical health status measures, ongoing physical activity promotion in schools is recommended at this time. Plain Language Summary School‐based interventions for promoting physical activity and fitness in children and adolescents Current evidence suggests that school‐based physical activity interventions may be effective in the development of healthy lifestyle behaviours among children and adolescents that will then translate into reduced risk for many chronic diseases and cancers in adulthood. The evidence also suggests that the best primary strategy for improving the long‐term health of children and adolescents through exercise may be creating lifestyle patterns of regular physical activity that carry over to the adult years. It is estimated that as many at 1.9 million deaths worldwide are attributable to physical inactivity, and that inactivity is a key risk factor in the development of most chronic diseases and cancers. This is alarming particularly because it is known that physical activity patterns track from childhood into adulthood; that children are increasingly exhibiting risk factors for cardiovascular disease, such as obesity, elevated blood lipids, and hypertension, conditions which are known to track into adulthood; and that atherosclerotic fatty streaks in the coronary arteries, which are indicative of coronary heart disease, have been found postmortem in children. This review included 26 studies that evaluated the impact of combinations of school‐based interventions focused on increasing physical activity among children and adolescents. Participants were between the ages of 6 to18 living in Australia, South America, Europe and North America. There is good evidence that school‐based physical activity interventions are effective in increasing duration of physical activity, reducing blood cholesterol and time spent watching television and increasing VO 2 max. VO 2 max, known as maximal oxygen uptake or aerobic capacity, reflects the physical fitness level of an individual and generally increases as fitness levels improve. These interventions are not effective in increasing the percentage of children and adolescents who are physically active during leisure time, or in reducing systolic and diastolic blood pressure, body mass index, and pulse rate. At a minimum, a combination of printed educational materials and changes to the school curriculum that promote physical activity result in positive effects for four of the nine outcomes.

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)0,003
score de la tête « metaresearch » (Gemma)0,003
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,659
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0040,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
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 Opus0,038
Tête enseignante GPT0,384
Écart entre enseignants0,346 · 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'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

Citations24
Publié2009
Routes d'admission1
Résumé présentoui

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