Examining Associations of Community Food Environments with Individual Diet Quality and Body Weight Status of Canadian Children
Notice bibliographique
Résumé
Reducing the prevalence of unhealthy eating is an important challenge to address in order to reduce the burden of obesity and chronic disease. Approximately 1.6 million or one-third of Canadian children and youth are overweight or obese, and about 70% of children and youth consume less than five servings of vegetables and fruit daily. It is being increasingly recognized that food environments in which children live influence their diets and body weights. However, study findings are inconsistent, partly due to different approaches to measure the food environment. In addition, no study has examined the combined effect of the absolute and relative densities of unhealthy food outlets on diet quality and body weight status in Canadian children. The objective of this thesis was to examine the associations of community food environments with individual diet quality and body weight status in a sample of Canadian school-aged children. The specific objectives were to: 1) assess which food environment indicator and geographic area is better able to capture associations with individual diet quality and body weight status, and 2) use the better performing indicator and geographic area to assess whether the community food environment affects individual diet quality and body weight status. These objectives were addressed using data from Raising healthy Eating and Active Living Kids in Alberta (REAL Kids Alberta), a population-based survey of grade 5 students in Alberta, in addition to food retailer data provided by the Environmental Public Health Department of Alberta Health Services. In the first study of this thesis, comparison of two food environment indicators revealed that the novel indicator, which considers the types of foods sold or served at an establishment, was better able to capture associations with diet and weight status compared to the indicator based on store type. When geographic areas were compared, 1600m buffers around schools were better able to capture associations compared to smaller geographic areas. In the second study of this thesis, attending a school in an area with a higher relative density (proportion) of unhealthy food outlets was associated with lower diet quality, predominantly in areas where the absolute density (number) of unhealthy food outlets was also high. These findings provide evidence that the community food environment plays a role in the development of unhealthy eating and increased body weights of school-aged children. Interventions to reduce unhealthy eating and excess weights may be most effective in areas with a higher number of unhealthy food outlets, specifically where there are few alternative healthy options available. The present findings also support the need for more precise assessment of the community food environment.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 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 ».