The nutrition-microcredit synergy: A case for multiple interventions and strategies
Notice bibliographique
Résumé
Poor diet quality is the primary determinant of the high prevalence rates of malnutrition in Ghana. In this West African country, young children’s diets primarily consist of cereals and roots which have both low energy and nutrient density and poor bioavailability of micronutrients. A 2008 national survey reported that over one-third of children consumed no nutrient-rich Animal Source Foods (ASF) on the previous day. An intervention to enhance children’s diet and nutritional status was developed based on the assumption that improving knowledge, attitudes, and beliefs of caregivers would lead to increased use of ASF for young children only if ASF availability (presence in the communities) and accessibility (families’ ability to obtain ASF through purchase, trade, hunting, or raising animals at home) were also improved. The Enhancing Child Nutrition through Animal Source Food Management (ENAM) project introduced an integrated approach of microcredit and weekly sessions of nutrition education and entrepreneurship training among rural women to increase the use of ASF in the diets of their 2- to 5-year-old children. Although the project may have not reached the poorest women in the community, the integrated activities benefited many households in diverse ways – directly through increased income and improved productivity that improved purchasing power and made foods available in the home, as well as indirectly through the empowerment of women participants. Women reported increased self-confidence, leadership skills, and social capital. Children’s diets benefited the most when caregivers were engaged in enterprises related to ASF because they facilitated sharing ASF with children and the high profits from these activities increased mothers’ ability to purchase other ASF from the market. Other family members also benefited from the project through women sharing loans for joint economic activities, improving the quality of the diet for the whole family, and sharing new knowledge. Integration of rural bank partners from an early stage of the project helped transfer activities to these permanent institutions to expand and sustain project activities. The ENAM project provided the evidence that an integrated package of microcredit and education can improve household food security and improve the diet and growth of young children living in rural communities.
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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 | 0,001 | 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 ».