This article is a descriptive cross-sectional study with Latino migrant farmworker (MFW) families in Ohio. A demographic questionnaire, the U.S. Household Food Security Survey (USHFSS), and the Food Frequency Questionnaire were self-administered. Participants (N = 50) were primarily mothers of children with ages 2 to 13 years. USHFSS was 30% high, 18% marginal, 44% low, and 8% very low. Only 22% of the children met the minimum MyPyramid daily recommended food-group servings for age and gender. Knowledge gained from these data will influence development of culturally appropriate nutrition interventions to help Latino MFW families achieve healthier nutrition and weight in their children.
Objectives: To determine (i) whether distinct groups of infants under 6 months old (U6Ms) were identifiable as malnourished based on anthropometric measures and if so, to determine the probability of admittance to GOAL Ethiopia’s Management of At Risk Mothers and Infants (MAMI) programme based on group membership; (ii) whether there were discrepancies in admission using recognised anthropometric criteria, compared to group membership, and (iii) the barriers, and potential solutions, to identifying malnutrition within U6Ms. Design: Mixed methods approaches where used, whereby data collected by GOAL Ethiopia underwent: factor mixture modelling, chi-square analysis and logistic regression analysis. Qualitative analysis was performed through coding of key informant interviews. Setting: Data were collected in two refugee camps in Ethiopia. Key informant interviews were conducted remotely with international MAMI programmers and nutrition experts. Participants: Participants were 3,444 South-Sudanese U6Ms and 11 key informants experienced in MAMI programming. Results: Well-nourished and malnourished groups were identified, with notable discrepancies between group membership and MAMI programme admittance. Despite weight for age z-scores (WAZ) emerging as the most discriminant measure to identify malnutrition, admittance was most strongly associated with mid-upper arm circumference (MUAC). Misconceptions surrounding malnutrition, a dearth of evidence, and issues with the current identification protocol emerged as barriers to identifying malnutrition among U6Ms. Conclusions: Our model suggests that WAZ is the most discriminating anthropometric measure for malnutrition in this population. However, the challenges of using WAZ should be weighed up against the more scalable, but potentially overly sensitive and less accurate use of MUAC among U6Ms.
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