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1.
Food Sci Nutr ; 9(11): 6274-6285, 2021 Nov.
Article in English | MEDLINE | ID: mdl-34760257

ABSTRACT

Micronutrient deficiencies in low-income countries are associated with the monotonous consumption of nutrient-deficient crops, contributing to childhood stunting with far-reaching socioeconomic consequences. To promote nutrition sensitive agriculture, policy makers in such countries have embarked on policy initiatives that encourage agricultural diversification in smallholder farming systems. This paper investigates the link between agricultural diversification and two key indicators of food and nutrition security among children under 5 years in rural Zambia. Data from the 2015 Rural Agricultural Livelihoods Survey and regression models are used to explain household dietary diversity and months of inadequate household food provisioning among 7934 households. Factors associated with the key outcome variables include land cultivated, household size, total livestock units, household head education, households receiving extension information, and use of productivity-enhancing inputs such as fertilizers. Although the results demonstrate that agricultural diversification is positively associated with the household dietary diversity score, the relationship is not statistically significant. Further, the study findings illustrate that agricultural diversity is negatively associated with months of inadequate household food provisioning but that this relationship is also not statistically significant. The implication for policy is that other interventions such as productivity enhancement and behavioral change communication need to be scaled up.

2.
PLoS One ; 13(9): e0204009, 2018.
Article in English | MEDLINE | ID: mdl-30248126

ABSTRACT

BACKGROUND: This study examines socio-economic determinants of food consumption patterns amongst women of reproductive age and children aged 6-59 months from urban poor settlements of Lusaka and their implications for nutritional status. Particular emphasis was placed on the role of fish in their diets and nutritional status. METHODS: A cross-sectional survey design was applied, in which 714 mother-child dyads, with children aged 6-59 months were enrolled. A three-stage randomized cluster sampling approach was applied. RESULTS: The mean dietary diversity score among children aged 6-23 and 24-59 months was 2.98 (±1.27) and 3.478 (±1.07), respectively. In children aged 6-23 months, there was a significant difference in their nutritional status, based on fish consumption (χ2 = 10.979, df = 2, p = 0.004). Children from poorer households consumed mostly small fish (Kapenta). The quantity of fish consumed by children was significantly associated with stunting in both age groups, odds ratio = 0.947 (95% CI: 0.896, 1.000) for children aged 6-23 months and odds ratio = 1.038 (95% CI: 1.006, 1.072) for children aged 24-59 months old. Other significant risk factors for stunting in children aged 6-23 months were the child's age, mother's body mass index, access to treated water and child morbidity. Child's age, mother's educational level and wealth status were determinants of dietary diversity in children aged 6-59 months as shown by the Poisson regression. CONCLUSION: Nutritional status of children aged 6-23 months is associated with fish consumption, with children consuming fish less likely to be stunted. Small fish (Kapenta) is an animal-source food that is particularly important in the diet of children in urban poor households in Zambia and contributes to better nutritional outcomes. As all small fish stem from capture fisheries, sustainable one health environmental integration, monitoring and management strategies are desirable.


Subject(s)
Diet , Fishes , Nutritional Status , Adult , Animals , Child Nutritional Physiological Phenomena , Child, Preschool , Cross-Sectional Studies , Eating , Female , Growth Disorders/epidemiology , Humans , Infant , Infant Nutritional Physiological Phenomena , Male , Maternal Nutritional Physiological Phenomena , Mothers , Nutrition Surveys , Poverty , Socioeconomic Factors , Urban Population , Zambia/epidemiology
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