Perspectives of Urban Ghanaian Adolescents on Healthy Eating Habits
Notice bibliographique
Résumé
Adolescents are vulnerable to diet-related health risks as they experience major life changes alongside food environment changes. In Ghana, non-communicable diseases (NCDs) are rising, and there is a need to understand what, how and why adolescents eat the way they do. This study explored perspectives of adolescents about healthy and unhealthy eating and relationships to portion sizes. The Measurement, Evaluation, Accountability, and Leadership Support for NCDs (MEALS4NCDs) Project is measuring the nature and extent of unhealthy food marketing to support public sector actions to create healthier food environments for Ghanaian children. In July-August 2020, 48 interviews with students (14–17 years old) in six districts across the Greater Accra Region were conducted in schools. Interviews were done in English, audio recorded, and transcribed verbatim. Transcripts were coded with NVivo12 using a thematic analysis. All students demonstrated basic nutrition knowledge and conceptualized healthy eating as “not eating too much”, “a balanced diet,” “not eating late,” and “not eating cold foods.” Connections between NCDs and consumption of foods high in fat, sugar, and salt were rarely made. All students consumed items contrary to what was described as a healthy diet. Students expressed food safety as indicative of healthy food, emphasizing food prepared in a “hygienic environment by a hygienic person,” “a hot temperature,” and “covered.” Participants did not understand portion sizes beyond “too much of anything is bad” and most stated contexts where they would consume smaller or larger portion sizes, such as around strangers (less) or unsure of next meal (more). Participants admitted that peer pressure and food advertising claims informed their food choices and showed minimal knowledge of marketing tactics. Students voiced their limited agency in food choice decisions, citing financial and cultural constraints. Students had some nutrition knowledge but limited agency to apply it in daily food choices. Interventions should include educating students and parents on diet-related NCDs and deceptive marketing tactics that promote unhealthy foods. International Development Research Centre's Food, Environment & Health Programme, IDRC-Canada. Office of the Vice President for Research, University of South Carolina.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 ».