The benefits of physical literacy in overweight and obese middle school adolescents
Notice bibliographique
Résumé
Promoting Physical Activity (PA) is one of the main objectives in the prevention and treatment of paediatric overweight and obesity. PA has many physical, psychological and social benefits in the fight against the emergence or progression of overweight and obesity in adolescents. However, this population has difficulty being physically active. Physical Inactivity (PI), described as "obesogenic behaviour", can therefore be explained by environmental opportunities that are unfavourable to the practice of PA and physical and psycho-motivational limitations due to excess weight. The implementation of PA support programmes for overweight and obese adolescents must therefore take into account their physical and social environments as well as their various limitations to PA. It therefore seems appropriate to introduce the concept of Physical Literacy (PL) into PA support for this population. PL takes into account the individual's environment ("socio-ecological" model) and the physical and psycho-motivational aspects of PA. The aim of this thesis is to develop an intervention based on the development of PL for overweight and obese adolescents, enabling them to increase their Moderate to Vigorous Physical Activity (MVPA) and improve their health indicators.In the first study, we summarised the roles and guidelines for PA in overweight and obese adolescents. In conclusion, this study shows that promoting PA in this population requires the implementation of a multidisciplinary adapted exercise programme that is integrated into the adolescent's environment.The second study in this thesis explored the relationship between PL, MVPA and health indicators (body composition and Cardio-Respiratory Fitness (CRF)) in 85 adolescents at secondary school. We presumed that adolescents with a high PL were also those with high MVPA and favourable health indicators. The main results show that PL is positively associated with MVPA, CRF and % Skeletal Muscle Mass (%SMM). LP is also negatively associated with % Body Fat (%BF). These results confirm our initial hypotheses and the links between PL, MVPA and health indicators. They therefore suggest that the development of PL may increase MVPA and the health of adolescents. This study also enabled us to identify the adolescents targeted by our intervention.Studies 3 and 4 focus on the results of the CAPACITES 64 intervention on 14 overweight and obese adolescents. The aim of this 15-month intervention was to develop PL in the target group of teenagers. All the parameters were assessed objectively (0, 9 and 15 months), the PL with the Canadian Assessment Physical Literacy (CAPL), the MVPA with accelerometry, the CRF with an adapted shuttle running test and the body composition with impedancemetry. This intervention increased PL by 10.6 (±9.1) points (p≤ 0.01), decreased %MG by 4.5% (±1.8) and BMI zscore by -0.4 (±0.4) (p≤ 0.01). It also increased %SMM by 2.6 (±2.7) (p≤ 0.01), CRF by 2.7 ml.min.kg-1 (±2.1) (p≤ 0.01) and MVPA by 8.5 min/day (±18.3) (p= 0.09) after 15 months. This thesis therefore showed that developing PL in overweight and obese adolescents was a promising strategy for increasing their active behaviour and improving their long-term health. Moreover, the CAPACITES 64 intervention shows that a systemic approach in the adolescent's environment is adapted to this adolescents in order to promote PA.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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.
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 ».