A Cross-Sectional Survey of Households in Nigeria on Prevalence of Food Insecurity Using Bayesian Logistic Regression Analysis
R. Ogundeji, A. Adewole, and S. Ahem (45-58)
Abstract
Food insecurity remains an important concern in Nigeria. It is a situation where lack of funds and other resources occasionally limits access to enough food throughout the year. Despite numerous attempts to restore food security, policymakers and other decision-makers must give this pressing social issue their full attention. The study looks to identify key factors influencing food insecurity at the household level in Yewa-North Local Government Area in Ogun State, Nigeria. Food insecurity incidence was assessed using questions adapted from the U.S. household food security survey module, and it was found to be 60.3%. Bayesian modeling was utilized to also determine important drivers of food insecurity. The study used a cross-sectional survey of 350 households chosen through systematic random sampling, employing a structured questionnaire for data collection. Various household categories based on their degree of food insecurity (high, marginal, low, and very low food security) were investigated. Additionally, strategies for interventions to lower food insecurity in households are provided, along with recommendations on how to mitigate the significant predictors of food insecurity that are identified.