Perceived healthiness of sugary drinks and related social norms among adults in five countries: evidence from the International Food Policy Study
Notice bibliographique
Résumé
BACKGROUND: A better understanding of correlates of sugary drink consumption is essential to inform public health interventions. This study examined differences in perceived healthiness of sugary drinks and related social norms between countries, over time, and sociodemographic groups and associations with sugary drink intake. METHODS: This study used annual cross-sectional data from the International Food Policy Study from 2018 to 2021 in Australia, Canada, the United Kingdom, the United States, and Mexico. Analyses examined perceived healthiness of eight beverage types and two types of perceived social norms (descriptive, injunctive) that discourage sugary drink consumption. The 24-item Beverage Frequency Questionnaire was used to estimate beverage intake in the past 7 days. Logistic regression models examined trends over time in odds of perceiving each beverage type as unhealthy and agreeing with social norms discouraging sugary drink consumption, across countries and sociodemographic characteristics. Negative binomial regressions examined associations between perceived healthiness, social norms and consumption. RESULTS: Energy drinks, regular soft drinks, and diet soft drinks were most frequently perceived as unhealthy in all countries, while water and 100% juice were least frequently perceived as unhealthy. Participants in Mexico had higher odds of perceiving 100% juice, chocolate milk, and iced tea as unhealthy in 2021 compared to 2018 (AOR = 1.71 99%CI 1.10-2.64; AOR = 2.69, 99%CI 1.70-4.26; AOR = 1.79, 99%CI 1.15-2.76; respectively), with little change in other countries. Agreement with social norms discouraging consumption of sugary drinks was higher in Mexico than in other countries. Trends in social norms over time were mostly stable, except in Mexico where participants had higher odds of agreeing with both norms in 2020 compared to 2018 (AOR = 1.27, 99%CI 1.09-1.48 for a descriptive norm and AOR = 1.27 99%CI 1.09-1.49 for an injunctive norm). In most countries, perceiving a beverage as unhealthy and agreeing with social norms discouraging consumption of sugary drink were associated with lower sugary drink consumption, with varying strength of associations across countries and beverage types. CONCLUSIONS: Shifts over time in social norms and perceived healthiness observed in Mexico and associations with intake of sugary drinks in most countries suggest that targeted interventions to change norms and perceptions could help reduce sugary drink consumption.
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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 | 0,000 | 0,000 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».