Does Agricultural Food Production Reflect the Diversity of Diets in Bauchi, Nigeria?
Notice bibliographique
Résumé
In Africa, Nigeria has the largest economy and the greatest investment in agriculture. Yet, the country ranks 103rd of 116 in the Global Hunger Index, and only 23% of children receive diets with the minimum diversity. Inadequate consumption of nutrient-dense foods is an underlying cause of undernutrition. This study qualitatively evaluated the food production and consumption of rural households in Bauchi State, Nigeria. Data were collected via six focus group discussions with 48 women of child-bearing ages 16–33 years, from farming households in six Local Government Areas (LGAs) in Bauchi State. Discussions were conducted in the Hausa language; audio-recorded, transcribed, translated into English, analyzed and organized into themes. Emerging themes include foods produced and consumed, food processing/preservation methods, foods perceived as nourishing and experiences of hunger. Commonly produced foods included nine starchy staples, seven legumes/oil seeds, 11 vegetables, four types of fruits and eight types of livestock. In three of six LGAs, commonly consumed foods were from only three food groups including starchy staples, legumes and vegetables. Dairy was listed only in two LGAs and meat in one LGA. Husbands reportedly ate good food, including meat outside the home, but such foods were often unavailable for household members. Participants believed that because they are women, and live in villages, one should eat whatever is available. Crops produced for their cash value were often not consumed. Harvested crops were preserved/processed via traditional methods associated with nutrient losses, including sun-drying and winnowing off the outer layers of milled grains. Mothers generally knew what foods were nourishing, but did not provide these for their children because these were sold for financial gain. Widespread food shortages, initially perceived to affect only women, reportedly disrupted household harmony and precipitated visible signs of child malnutrition. A variety of agricultural food products that can contribute to adequate nutrient intakes are produced by rural households in Bauchi State, yet diets are limited in diversity. Thus, urgent strategies are needed to promote dietary diversity, and optimize the food systems for improved nutrition of women and children. Oxfam LINE Project, Bauchi.
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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 | 0,001 |
| 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 ».