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Enregistrement W6983612600

Multi-level analysis of school characteristics, based on the Comprehensive School Health Framework, associated with physical activity in a large sample of Ontario and Alberta secondary school students

2021· dissertation· en· W6983612600 sur OpenAlexaboutno aff

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2021
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueSchool Health and Nursing Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPhysical activityContext (archaeology)Sample (material)Mental healthSchool healthStratified samplingSocial environmentAssociation (psychology)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Physical activity (PA) has many physical and mental health benefits, but only 24.4% of youth achieve the recommended minutes of moderate-to-vigorous PA (MVPA). Schools are an important context for changing modifiable health behaviours in youth and the Comprehensive School Health (CSH) framework outlines four inter-related components that schools can strengthen to facilitate better student health: social and physical environment; teaching and learning; partnerships and services; and healthy school policy. There has been no research identified that simultaneously evaluates all four components of CSH and their association with youth PA in a Canadian context. The objectives of this thesis were: (1) describe the prevalence of school-level factors within the CSH framework and their association with student PA (weekly MVPA and meeting the three PA recommendations) in a large sample of Ontario and Alberta secondary schools; (2) examine how youth MVPA changes over a three-year period, stratified by gender; (3) evaluate the school characteristics associated with preventing the decline in MVPA over time, guided by the CSH framework; (4) determine the proportion of students achieving all three PA recommendations at baseline who were still achieving them two years later; (5) determine the proportion of students not achieving all three PA recommendations at baseline who were achieving them two years later; and, (6) evaluate the school characteristics associated with achieving all three recommendations two years later for these two groups of students, stratified by gender. These objectives were met using student and school data from the COMPASS research platform, a large prospective cohort, and reported through a series of three manuscripts. \n \nThe first manuscript was a cross-sectional study of 37,397 students in Grades 9 to 12 from 80 schools in the 2015/2016 cycle of COMPASS. Using descriptive and multilevel regression analyses (2-level: students within schools), it examined the prevalence of school characteristics guided by the CSH framework and the association between these characteristics and student PA. While some school characteristics were found to be nearly universal (e.g., presence of gymnasiums), many varied between schools, allowing for further analysis. School characteristics within all four pillars of CSH were significantly associated with PA for at least one student subgroup (gender/grade). \n \nThe second manuscript was a longitudinal study of 17,661 students from 78 schools in the 2013/2014, 2014/2015, and 2015/2016 cycles of COMPASS who were in Grade 9 or 10 in 2013/2014 and participated for at least two of the three years. Using multilevel regression analyses (3-level: repeated measures within students within schools), this manuscript examined the association between school characteristics within the CSH framework and slope of weekly MVPA minutes over time. Student MVPA declined significantly across the three years for both male and female students. The school’s social environment, partnerships, and policies were associated with student MVPA over time, however the specific school factors and directions of associations varied by gender. \n \nThe third manuscript was a longitudinal study of 9,870 students in Grades 9 and 10, from 78 schools, who participated in both the 2013/2014 and 2015/2016 cycles of COMPASS. Using multilevel regression analyses (2-level: students within schools), this manuscript examined the association between school characteristics and achieving all three national PA recommendations after two years (≥60 min of MVPA daily, vigorous PA ≥3 days/week, strengthening activities ≥3 days/week). The analyses were stratified by student gender and baseline PA status. While some school-level variables were associated with higher odds of achieving the PA recommendations (e.g., access to equipment, public health partnerships, staff time for health), other school-level variables were associated with lower odds of achieving the PA recommendations (e.g., providing showers). \n \nThe findings of this dissertation support that modifiable school characteristics within the CSH framework are associated with student PA and can have an impact on the trajectory of student PA over time. With limited school resources and a need to improve student PA, these findings can inform schools of which improvements could have the greatest impact. Since there was no researcher-led intervention and only naturally occurring variability between schools was examined, there is a greater chance that these changes could be replicated and sustained by schools, which could be supported by communities of practice. Finally, many opportunities for future research have been presented within the dissertation.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,099

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,005
Études des sciences et des technologies0,0020,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,051
Tête enseignante GPT0,357
Écart entre enseignants0,305 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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