EXPLORING DAILY DIETARY BEHAVIOUR THROUGH EXAMINATION OF THE FOOD CHOICE PROCESS
Notice bibliographique
Résumé
As obesity rates continue to rise, the negative health impacts associated with unhealthy food choice behaviour remain an issue of concern. Observing the connection between food consumption and weight gain alone is likely not sufficient to understanding people’s construction of food choices. More detailed examination of a novel concept, the overall food choice process (FCP), including food thoughts, plans, purchases, and preparation, leading up to food intake/consumption may contribute to an improved understanding of food choice behaviour.\nThis thesis explored the wider FCP that gives rise to observed food consumption by testing passive video recording technologies, an innovative data collection method that yielded maximum detail and minimal recall bias and misreporting as possible. This thesis also examined the patterns of FCP decisions, and its potential relationships with sociodemographic and social interaction related variables using exploratory multivariate statistical techniques, as well as the possible effects of social influence on FCP decisions, based on real-world observations and an in-depth follow-up interview.\nData were obtained from 20 participants (aged 30 to 50), who wore a hidden body video camera over a 4-day period to capture their actual daily food-related activities. FCP events were coded with relative certainty about 66.1% of the time, according to a subjective, yet systematic ranking by the researcher.\nFindings from the empirical analysis revealed that food purchases tended to occur in social settings and food preparations occurred alone at home; social interaction variables tended to correlate most with the FCP variables and body mass index unexpectedly had no significant correlation at all; overweight subjects’ FCP decisions that were affected by social influence when they conformed to others’ dietary patterns were possibly due to social stigma.\nThis experimental study demonstrated the potential for an automated tracking system to capture fine-leveled information as part of the overall FCP beyond just food consumption in real-world environments. The empirical results potentially supported several elaborations to the food choice process model—expansion of the personal food systems stage to possibly include FCP decisions, sociodemographic and social interaction variables, and ordered sequence strings of FCP decisions, as well as the influences stage to potentially include sociodemographic characteristics and social factors influencing FCP decisions. Adding these observable and interconnected elements missing from the mechanical part of the model may contribute to an improved understanding of daily food choice behaviour, however further research on a larger scale is warranted.
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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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».