Beijing health promoting universities: practice and evaluation
Notice bibliographique
Résumé
The aims of this study were to create a health promoting university within the framework of the Ottawa Charter for Health Promotion. Strategies included reforming and issuing healthy policies, creating a healthy physical and social environment, developing personal health skills, reorienting the health services, and implementing intervention activities. To evaluate the study, 180 students and 120 teaching/administrative staff were sampled for an in-depth interview with open-ended questions administered 1 year after the launch of the project. To assess health knowledge and behavior, 2500 students were sampled to answer a questionnaire, both prior to and following project implementation. With respect to policies, environment and health services, 166 students and 117 teaching and administrative staff participated in the in-depth interview. Approximately three-quarters (75.90%) of university students considered that the physical environment of the campus had improved significantly and 83.73% reported they had a good social environment. All university administration departments made commitments to health promotion. Consultations on mental health, smoking cessation and STD/AIDS prevention were provided all year round. Health education was included in a curriculum as a selective course with 1-2 credits. Almost two-thirds (60.66%) of teaching/administrative staff reported that they had had a yearly physical examination. In the final stages of the research, significantly more college students reported improved mental health (38.25% compared with 17.93% at baseline) (p < 0.01) and more were knowledgeable about transmission of STDs/AIDS (57.00/35.50% compared with 51.66/28.20% at baseline, respectively) (p < 0.01). Significantly less regular smokers were found (45% compared with 15.81% at baseline) (p < 0.01). However, there was a significant increase in high-fat food intake (44.81% compared with 49.50%) (p < 0.01) and pre-marital sex (5.11% compared with 14.00%), and a significant decrease in physical exercise participation (29.41% compared with 23.50%) (p < 0.01). As a health promotion setting, the university community can benefit greatly from implementing health promotion campaigns based on the principles of the Ottawa Charter.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».