Previous studies highlighted that CIAF is the better tool for malnutrition assessment which screen more children compared to other anthropometric approaches like MUAC, BMI for age, and conventional indices (Stunting, Wasting and Underweight). In the literature, none of the studies has mentioned CIAF performance by gender in comparison with other anthropometric approaches. The study solves this puzzle, of whether CIAF has the same performance in gender analysis too or not. Data from 1152 homes were gathered using a purposive random sample approach. The CIAF detects more malnourished children (63%) compared to other methods. Results show that male children in the study region had a greater frequency of malnutrition than female children. The results of the chi-square showed that the age and gender of the child have a significant relationship with CIAF than other approaches. The CIAF is a superior instrument for assessing child malnutritional status since it detects more malnourished children even with gender analysis.
Keywords: Malnourishment; Gender Analysis; BMI, CIAF; MUAC.