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Enregistrement W2594151897

Dietary Practices, Maternal Nutritional Status and Child Stunting: Comparative and Intervention Studies in Pulse and Non-Pulse Growing Rural Communities in Ethiopia

2016· dissertation· en· W2594151897 sur OpenAlexfundno aff
Getahun Lombamo

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineNursing
ThématiqueChild Nutrition and Water Access
Établissements canadiensnon disponible
Organismes subventionnairesGlobal Affairs CanadaCollege of Pharmacy and Nutrition, University of SaskatchewanInternational Development Research Centre
Mots-clésIntervention (counseling)Pulse (music)Environmental healthSocioeconomicsGeographyMalnutritionGerontologyMedicineEconomic growthSociologyEngineeringEconomicsNursing
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Maternal and child undernutrition is a significant problem globally, particularly in low- and middle-income countries, such as Ethiopia. In 2008, Ethiopia began a National Nutrition Program (NNP) which prioritized maternal and child undernutrition. Ethiopia remains largely an agricultural economy; hence, improvements in the nutrition of women and children relies on agriculture (e.g. types of crops, productivity, consumption). Pulses are important crops, second to cereals; however, whether pulse agriculture translates to health benefits has not been well documented. This research aimed to document evidence of pulse agriculture translating to nutrition health benefits through: Characterizing the nutrition/food security situation and associated risk-factors of mothers and young children from both pulse and cereal growing communities; comparing the diets and health measures of mothers-children in pulse versus cereal communities; and, implementing a nutrition education intervention in a pulse growing rural community. Mixed method approaches, both quantitative and qualitative, were used in cross-sectional and intervention designs. Participants were mothers and their <5y of age children from two rural pulse-growing communities of Halaba and one cereal growing community from Zeway, Ethiopia. Data gathered included socioeconomic and demographic, household food security, dietary and anthropometric information using a semi-structured survey questionnaire, weighed food records, and anthropometric measurements. A six-month nutrition education program, involving interactive monthly community meetings and home-visits, was offered to one of the pulse communities and the other served as a control. Focus group discussions (FGD) were also conducted with male farmers to obtain their perspective on issues surrounding pulses. Very high levels of stunting among children <5y of age (54% in Halaba, 42% in Zeway) were found, as well as moderate to high levels of maternal undernutrition in Zeway (14%) and Halaba (22%) communities, respectively. Gender and household structure variables such as empowerment imbalance, access to land by women, household size and physiological density associated with maternal and or child stunting. In addition, many of the World Health Organization recommended infant and young child feeding (IYCF) practices were suboptimal, especially where complementary foods were below the estimated needs for energy and nutrients. The study also found unacceptably high levels of household food insecurity and hunger, particularly in Halaba communities with supply related factors (i.e., women’s access to land, work burden, land size, frequency of production) having greater influence than demand factors. Median energy and nutrient intakes for mothers, but not children, were significantly higher in the pulse communities than those in the cereal community. Dietary Diversity Scores (DDS) were low (3 food groups) in both mothers and children independent of the communities studied. Pulse consumption was low in both communities. Child stunting and underweight, and maternal undernutrition were worse in the pulse than cereal communities. Pulses were mostly sold for income and women had limited control over use (e.g. consumption) and knowledge of the nutrition benefits of pulses was lower among mothers in pulse-growing communities. The intervention study in the pulse communities showed significant improvements in the intervention group for knowledge, attitudes and practice (KAP) of pulses among mothers. The median DDS, as well as pulse and animal source food consumption indexes, improved for both mothers and children. The mean body-mass index-for-age z-score increased and wasting decreased in the children. Farmers in the FGD expressed intention to produce and retain more pulses for home consumption. No such changes were found in the comparison community. Overall, this research showed high levels of child stunting and maternal undernutrition, suboptimal IYCF practices, and high household food insecurity and hunger which all indicate the need to strengthen government’s nutrition service delivery to women and children. Mothers-children in the pulse communities did not have better nutrition status indicating pulse production does not necessarily translate to nutrition benefits unless bridging efforts, such as providing nutrition education, addressing gender disparities in access/control of resources (e.g. land, pulses) are in place. Community-based nutrition education interventions could be effective in improving mothers’ knowledge of pulses and consumption frequency. Such interventions can lead to increasing DDS in mothers and their children, and decreasing underweight and wasting in rural Ethiopia.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,060
Tête enseignante GPT0,380
Écart entre enseignants0,321 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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