Validation of the CIMI-Ethiopia Program and Seasonal Variation in Maternal Nutrient Intake in Enset (False Banana) Growing Areas of Southern Ethiopia

Potentials and limitations of a food group-based algorithm to assess dietary nutrient intake of women in rural areas in Tanzania

The aim of this study was to evaluate the accuracy of nutrient intake assessment with the food group-based algorithm "Calculator of Inadequate Micronutrient Intake" (CIMI) in comparison to the established nutrition software NutriSurvey. Using Food Frequency Questionnaires and 24-h dietary recalls of 1010 women from two rural districts in Tanzania, 23 relevant typical Tanzanian food groups were identified and subsequently the dietary protocols assessed via CIMI algorithm were compared by bivariate correlations and Bland-Altman analysis with the results of the NutriSurvey software (reference) and were set in relation to blood biomarkers of 666 participants. CIMI and NutriSurvey calculations regarding macro- and micronutrient intakes were similar. The Bland-Altman analyses and correlation coefficients of energy (0.931), protein (0.898), iron (0.775) and zinc (0.838) confirm the agreement of both calculations. The food group based CIMI algorithm is a practical tool to identify the inadequacy of macro- and micronutrient intake at population level.

Inadequate intake of energy and nutrients: A comparative cross-sectional study between sport and nonsport science university students of southern Ethiopia

This study aimed to investigate and compare the energy and selected nutrient intakes of sport science and nonsport science university students of Southern Ethiopia. Multiple-day dietary data were collected from 166 university students (76 sport science and 90 nonsport sciences). Average daily energy and nutrient intake, and inadequate intakes were calculated using NutriSurvey (NS). There were significant differences (p < .05) in the median intakes of energy, total carbohydrate, and vitamin B1 between female students from the sport science and nonsport science groups, but only the median intake of iron was significantly different (p < .05) between the male sport and nonsport science student groups. The prevalence of inadequate intake of vitamin B1 was significantly (p < .05) higher in the male and female from the nonsport science groups compared to the male and female student groups in the sport science, respectively, whereas the prevalence of inadequate iron intake by the male sport science students' group was significantly (p < .05) higher compared to their counterparts. Similarly, the prevalence of inadequate energy among the females from the sport science group was significantly (p < .05) higher compared to the female students from the nonsport science department group. The prevalence of inadequate intake of dietary energy and the majority of the nutrients (protein, fat, vitamin A, B1, B2, and magnesium) were high (>50%) in selected university students. The energy and majority of nutrient intakes by the students in the selected universities of southern Ethiopia were suboptimal. Therefore, activities that will improve the dietary intake of university students should include weekly meal plan revision considering their average recommended nutrient intake (RNI).

Calculator for inadequate micronutrient intake for Ethiopia (CIMI‐Ethiopia): Validation of the software for lactating mothers and their children under 2 years

Early identification of inadequate intake of nutrients from a person's diet is usually crucial to prevent the development of micronutrient malnutrition. However, there is no single dietary assessment tool for Ethiopia that can assess the nutrient intake of a person from the type of food she or he consumed with a given amount. Therefore, the Calculator for Inadequate Micronutrient Intake (CIMI) application was adapted in consideration of food and nutrition contexts in Ethiopia and validated for its suitability to compute nutrient intake and identify nutrient intake inadequacy. For this, a 24‐h recall quantitative dietary data of children aged 12–23 months (n = 781) and lactating mothers (n = 1086) were collected between February 15 and 30, 2017, from rural Genta Afeshum district, Tigray region, Ethiopia. An individual nutrient intake was estimated by calculating using CIMI‐Ethiopia and also by NutriSurvey (NS) software for comparison. The average (mean and median) intake of energy and most nutrients and the prevalence of inadequacy calculated by the two software for the children aged 12–23 months and lactating mothers were comparable, except that of the vitamin A. The correlation coefficients for the intake results calculated by CIMI‐Ethiopia and NS were between 0.85 and 0.97 for the children and between 0.5 and 0.96 for the lactating mothers' group. Most of the mean intake differences calculated by the two methods were within the acceptable limits, except for the vitamins A, D, and B12 in the Bland–Altman plots. CIMI‐Ethiopia is very sensitive to identifying energy, protein, and selected micronutrients inadequacy included in this study, both for the lactating mothers (84.1%–100%) and 12–23‐month‐old children (77.6%–100%) group. Our results showed that CIMI‐Ethiopia estimates the energy and nutrient intake, and can be also used as a screening tool to identify energy, protein, and selected micronutrients inadequacy from an individual woman's and child's diet in rural Tigray, Ethiopia.