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Enregistrement W7161802239 · doi:10.82308/42201

The retail food environment and the cardiometabolic health of Canadians

2023· dissertation· en· W7161802239 sur OpenAlexaboutno aff
Andrew Stevenson

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineBusiness, Management and Accounting
ThématiqueConsumer Retail Behavior Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNeighbourhood (mathematics)OverweightObesityBody mass indexWaistPopulation healthPopulationUnhealthy food

Résumé

récupéré en direct d'OpenAlex

Diet is among the most important modifiable risk factors for morbidity and mortality worldwide, primarily through the development of cardiometabolic disease. Most Canadians have a suboptimal diet, which poses a considerable health burden on the population, given the importance of dietary quality to disease prevention and management. Poor diet at the population-level likely reflects responses to the food environment that individuals are exposed to. The retail food environment is a component of the built environment that can be modified to contribute to improvements in the health of Canadians at the population level. The overarching hypothesis of the thesis is that less favourable neighbourhood retail food environments will be associated higher prevalence of overweight and obesity (as measured by Body Mass Index or BMI higher body weight), larger waist circumferences (WC) and higher rates of hypertension in the Canadian adult population. Less favourable neighbourhood food environments are characterized by an overabundance of less healthy food stores or a scarcity of healthier food stores. Work to address the overarching hypothesis unfolded over five thesis objectives:1)To systematically review the Canadian literature on associations between neighbourhood food environments, diet and BMI;2)To develop and validate the first pan-Canadian dataset (Can-FED) of neighbourhood food environment measures that are publicly shareable and made using the Statistics Canada Business Register;3)To investigate population-level associations between Can-FED measures, measured BMI and WC of adult participants from the Canadian Health Measures Survey (CHMS);4)To investigate population-level associations between Can-FED measures and hypertension of adult participants from the Canadian Health Measures Survey (CHMS);5)To systematically observe and describe how local food environments have changed in Montreal over the course of the thesis The systematic review (chapter 4) found little evidence of a food environment–diet quality relationship and modest evidence of a food environment–BMI relationship. Chapter 5 was devoted to the development and validation of two versions of Can-FED using a gold standard database of businesses – the Statistics Canada Business Register. These datasets are the first publicly shareable pan-Canadian measures of neighbourhood food environments. Agreement between Can-FED food environment measures and those derived from a proprietary dataset and a municipal health inspection list ranged from rs=0.28 for convenience store density and rs=0.53 for restaurant density. Using the Can-FED measures, I demonstrated that a one standard deviation (SD) increase in the percentage of restaurants that are fast-food was positively associated with BMI and WC for men (BMI: β= 1.49%, 95% CI, 0.37% to 2.61%; WC: β =0.85%, 95% CI, 0.14% to 1.56%) in fully adjusted models, but associations did not reach statistical significance for women. I also demonstrated that a one SD increase in the proportion of fast-food outlets relative to the sum of fast-food outlets and restaurants was associated with higher odds of measured hypertension in the full sample (OR=1.17, 95% CI 1.05 to 1.31) and in sex-specific models (women: OR=1.14, 95% CI 1.01 to 1.29; and men: OR=1.21, 95% CI 1.03 to 1.43). In Montreal, there was wide variation in the characteristics of the retail food environments across five neighbourhoods; however, there was no clear patterning in the characteristics of the food environment by neighbourhood marginalization. I also showed that measures of the food environment are relatively stable over a three-year year period

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,840
Score d'incertitude au seuil0,930

Scores Codex et Gemma par catégorie

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

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 Opus0,026
Tête enseignante GPT0,234
Écart entre enseignants0,208 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
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
Publié2023
Routes d'admission1
Résumé présentoui

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