Identifying Eggs and Small Fish as Priority Foods in Rural Tanzania for Pregnant and Lactating Women, Infants and Young Children: Formative Research for the ENRICH Project (P10-144-19)
Notice bibliographique
Résumé
A diverse diet including animal source foods (ASF) is essential for pregnant and lactating women, as well as infants and young children (IYC) 6–23 months to promote healthy growth. In rural impoverished areas of Tanzania, where stunting prevalence is high and dietary diversity low, the Enhancing Nutrition Services to Improve Maternal and Child Health (ENRICH) project aims to improve the health and nutrition of women and IYC. To identify nutritious priority foods and behaviors to promote in this context, formative research was conducted. Our objective was to identify priority ASF to promote increased dietary diversity and improved maternal and IYC nutrition within the local context. Using a social-ecological framework and an ethnographic approach, we employed qualitative methods to collect data from purposive samples on potential key foods and behaviors. Food attributes, market surveys, household food stock, in-depth interviews, 24-hour dietary recalls and home observations were conducted. Analysis of each method and triangulation of results led to selected ASF foods and behaviors, which were tested in household trials for final recommendations. Among the various ASF explored, eggs and small fish emerged with the greatest potential for increased consumption. Many positive attributes of eggs were voiced, but some negative attributes, primarily related to traditional cultural views, were also expressed. Small fish were associated with mostly positive attributes. Compared with other ASF, eggs and small fish were commonly available and considered inexpensive. Interviews with pregnant women and parents of IYC demonstrated links among nutritious foods, healthy growth and future aspirations, yet dietary recalls showed poor dietary quality and low ASF intake. Results from household trials found eggs available, easy to prepare and acceptable by women and IYC. Similar results were found for small fish. Formative research provided context rich data from multiple perspectives to select priority ASF. Household trials provided further evidence of practical feasibility and acceptability, as well as improved understanding of how to promote egg and small fish consumption. This research informed the development of messaging and a behavior change strategy for this setting. Global Affairs Canada, World Vision Canada, Nutrition International.
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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 | 0,001 | 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 | 0,001 |
| 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 ».