Physical Activity and Children’s Bone Health
Notice bibliographique
Résumé
The benefits of weight-bearing physical activity, and the negative consequences of disuse, on the skeleton have been known for centuries. For example, Darwin (2) described how large, ground feeding birds acquired stronger legs through exercise and weaker wings from not flying “until, like the ostrich, they could not fly at all.” The skeletal adaptations that Darwin noted were manifest over generations; however, positive effects of weight-bearing physical activity on the growing bone have been observed over much shorter periods. In the current issue of Exercise and Sport Sciences Reviews, Gunter and colleagues (3) provide compelling evidence that physical activity is integral for developing and maintaining a strong and healthy skeleton. Growing bone may have a far greater capacity to adapt to weight-bearing exercise than does older adult bone. Thus, optimizing bone accrual during growth, particularly during the prepubertal and early pubertal years, may be the best means to reduce adult fracture risk (1). Gunter and colleagues focused on school-based physical activity interventions that resulted in persistent benefits to bone health (up to 8 yr postintervention) in boys and girls and programs that showed promise in terms of sustainability. Of particular interest to public health and education officials should be that simple exercise programs (∼100 jumps) required very little time in the school day (10–15 min·d−1) and were delivered by generalist classroom teachers. These exercise programs could be incorporated easily into the regular school curriculum in many jurisdictions. Importantly, what works in elementary schools may not be the appropriate strategy for secondary schools. This review suggests that a higher dose of impact activity may be required to stimulate the adolescent skeleton. Also, physical activity levels decline as children, particularly girls (5), move into the challenging period of adolescence. Thus, a research priority remains — to develop programs for secondary schools that engage youth and promote physical activity while ensuring adequate amounts of impact activity. This review underscores the fundamental knowledge of skeletal adaptations to weight-bearing activity gained from dual energy x-ray absorptiometry (DXA)-based studies. Nevertheless, DXA ignores subtle changes in bone structure that significantly impact overall bone strength. Innovative imaging instruments, such as peripheral quantitative computed tomography (pQCT), high-resolution pQCT, and magnetic resonance imaging, serve to improve our understanding of the mechanisms that underpin bone’s response to loading. For example, weight-bearing physical activity positively is associated with aspects of bone microstructure such as trabecular number (4). Previously, this could be measured only with invasive bone biopsies. These novel instruments will allow us to characterize more accurately surface-specific and architectural changes that contribute to bone strength gains. Although the benefits of physical activity are well established, how can we measure the potentially negative consequences of sedentary behavior on growing bone? Emerging evidence indicates that sedentary behavior (≤1.5 METs) is distinct from a lack of moderate-to-vigorous physical activity and is associated with different health outcomes (6). This distinction commonly is not made in the bone health literature. However, as accelerometry becomes more widely used to characterize children’s activity, researchers will be able to address this important question and inform public health guidelines. Finally, as noted in this review, it likely will be decades before we can say definitively whether benefits of childhood activity persist into late adulthood. However, based on the available evidence summarized by Gunter and colleagues, including their own elegant intervention and observational studies, quality moderate-to-vigorous physical activity including short bouts of impact activity during childhood can have a lasting positive effect on bone health. It is up to our generation to disseminate this message to policy makers, with the goal being to implement effective, sustainable, and wide-reaching physical activity programs. Heather M. Macdonald Department of Orthopaedics University of British Columbia Child & Family Research Institute and Centre for Hip Health and Mobility Vancouver Coastal Health Research Institute Vancouver, Canada Vina P.S. Tan Department of Orthopaedics University of British Columbia Centre for Hip Health and Mobility Vancouver Coastal Health Research Institute Vancouver, Canada and School of Health Sciences Universiti Sains Malaysia Malaysia
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».