ABSTRACT
Background: Inadequate infant and young child feeding (IYCF) practices in low income countries contribute to poor child growth and development. Objectives: To assess IYCF practices and mycotoxin contamination in complementary food ingredients across 2 seasons in Kongwa District, Tanzania. Methods: Early feeding practices in 115 rural households from 25 villages in Kongwa District, Dodoma region, Tanzania, were assessed. The primary caregiver for the index child (6-18 mo of age) was interviewed using a structured dietary questionnaire at recruitment (October/November 2017), and revisited 6 mo later. The questionnaire included questions on typical food consumption in the past 24 h. This study reports 7 of the revised and new IYCF indicators, including minimum dietary diversity (MDD). Aflatoxins (AF) and fumonisins (FUM) were analyzed in complementary food ingredients for pooled household samples to broadly establish patterns of contamination at the village level. Results: The MDD was not met for 80% of infants at recruitment (survey 1) as compared with 56% in survey 2 (P < 0.05). Changes in MDD between the 2 surveys were dependent on season but not age. Maize was consumed by >90% of households in both surveys, whereas groundnut was consumed by 44% and 64% of households in surveys 1 and 2, respectively. AF concentrations in maize and groundnuts were found to be higher in survey 1 than in survey 2. Overall, AF exceeded the legal limit in 18% of maize and 61% of groundnut pooled samples in both surveys. Maize was also contaminated with significant FUM concentrations. Conclusions: Poor diets were common among children in Kongwa District. Reliance on maize and groundnuts exposes this vulnerable age group to AF (also to FUM in maize). Inadequate diet and exposure to AF and FUM have separately been linked to linear growth retardation. Low diet diversity and mycotoxins contamination are plausible causes for poor growth and development among infants in Central Tanzania. Curr Dev Nutr 20XX;x:xx.
ABSTRACT
Many conceptual frameworks have been developed to facilitate understanding and analysis of the linkages between agriculture and food security. Despite having usefully guided analysis and investment, these frameworks exhibit wide diversity in perspectives, assumptions and application. This Review Article examines this diversity, providing an approach to assess frameworks and suggesting improvements in the way they are specified and applied. Using criteria-based systems modelling conventions, we evaluate 36 frameworks. We find that many frameworks are developed for the purpose of illustration rather than analysis and do not clearly indicate causal relationships, tending to ignore the dynamic (stability) dimensions of agriculture and food security and lacking clear intervention points for improving food security through agriculture. By applying system modelling conventions to a widely used framework, we illustrate how such conventions can enhance the usefulness of a framework for overall illustration purposes, delineate hypotheses on agriculture-food security links and examine potential impacts of interventions.
