Tehran University of Medical Sciences Journal of Biostatistics and Epidemiology 2383-4196 5 3 2020 06 16 226 235 Anthony Ekpo Department of Mathematics/Statistics/Computer Science,University of Agriculture, Makurdi, Nigeria Waheed Yahya Department of Statistics University of Ilorin, Ilorin, Nigeria 2019 10 12 2020 01 25 Background and aim: In this paper, we present results regarding the outcomes of some anthropometric, epidemiological and demographic factors on the nutritional status of the under-five children which were categorized into three ordinal groups of Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM) and Global Acute Malnutrition (GAM) in Kazaure Local Government Area in Nigeria. Methods: An ordinal logistic model that depicted the log-odds in favour of GAM (normal) child was fitted to the data based on surveillance indexed by Weight-For-Height (WFH). Results:The results showed that the proportional odd of measuring the nutritional status of a child in a nutrition survey using the WFH index has the OR= 7.43 (95% CI, 4.717 to 11.705) times greater, with Wald )1(2  =74.81, p<0.001, hence a statistically significant effect. Conclusion: Based on the results and summary of findings, it can be concluded that age is a major predictor of the nutrition status of a child in a nutritional study when the surveillance is based on WFH index unlike sex and measles that do not play a major role. https://jbe.tums.ac.ir/index.php/jbe/article/view/308 https://jbe.tums.ac.ir/index.php/jbe/article/download/308/238