Food security and dietary diversity amongst smallholder farmers in Haiti
Notice bibliographique
Résumé
As defined by the United Nations Food and Agriculture Organization, food security "exists when all people, at all times, have physical, social and economic access to sufficient, safe and nutritious food which meets their dietary needs and food preferences for an active and healthy life". The nature of food security is multi-faceted and therefore difficult to accurately measure. The Latin American and Caribbean Food Security Scale (ELCSA) is a tool that has been developed and validated to measure food security through the psychosocial experience of a household. Haiti, being the poorest country in the Western Hemisphere, is highly susceptible to poverty, malnutrition and food insecurity. It is estimated that over half of the population lives in extreme poverty (less than one US dollar a day). Since purchasing power for food is directly related to a household’s consumption of food, dietary quantity and quality are greatly reduced in situations of extreme poverty and food insecurity. Dietary diversity has been shown to imply nutrition adequacy among populations and when compromised, results in poor health status. Food variety and dietary diversity scores have been traditionally used to assess dietary quality in developing countries. The primary objective of this study is to assess the relationship of food security with dietary diversity among small rural farming households in Haiti using a secondary data set analysis. Data are drawn from a quantitative cross sectional study including 500 households from 5 departments of rural Haiti that were surveyed by the Inter American Institute for Cooperation on Agriculture. Data were analyzed using IBM® SPSS® 2012 software for descriptive and inferential analyses. Results show that sixty-two percent of households were severely food insecure, with only 2.6 percent being food secure. Dietary Diversity Scores (DDS) were generated using the FAO’s Household Dietary Diversity Index Guidelines. Results show that DDS decreased significantly from mild (11.0) to moderate (10.0) to severe (9.4) Food insecurity levels, after controlling for number of children in the household, gender of head of household, daily per capita income, education, number of animals and land size. Furthermore, the number of total food items consumed decreased significantly from the mildly (34.3) to the moderately (25.9) and severely (22.5) food insecure households after controlling for the same variables. The decrease affected staple foods, eggs, dairy, meat/fish, fruits and vegetables. Sugar consumption remained the same in all groups. When compared to all foods consumed, the proportion of animal source foods decreased from food secure households (18.6 percent) to severely food insecure households (11.6 percent) while the proportion of sugars and oils increased from food secure households (14.0 percent) to severely food insecure households (18.6 percent). The changes seen in consumption of low nutrient dense foods like sugars and oils implies greater access to foods that may provide calories but have little nutrient quality, therefore masking the achievement of food and nutrition security. Organizations, governmental and non-governmental should be informed of these trends to better adapt existing and future intervention programs that aim to inversely improve access to energy and nutrient dense foods and decrease the access to empty calorie foods.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| 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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».