A Dual Malnutrition Challenge in Tanzania Explored Through Logistic Regression Analysis

The double burden of malnutrition (DBM), characterized by the coexistence of malnutrition and overweight within the same household, has become a significant public health concern in low- and middle-income countries. Tanzania is undergoing a nutritional transition marked by persistent child malnutrition alongside increasing maternal overweight. This study examined socio-demographic, maternal, and child-level factors associated with DBM among children under five years in Tanzania.

This cross-sectional study used data from the 2022 Tanzania Demographic and Health Survey, including a weighted sample of 5744 children under five and their mothers aged 15-49 years. DBM was defined as the presence of child malnutrition, measured using the Composite Index of Anthropometric Failure (CIAF), in households where the mother was overweight or obese. Bivariate chi-square tests and binary logistic regression analyses were conducted in STATA 17. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were estimated to identify predictors of DBM.

DBM was more prevalent in rural areas. Significant predictors included birth order (AOR = 0.611, p = 0.030), child sex (AOR = 0.708, p = 0.011), perceived birth size (AOR = 0.270, p = 0.004), child age (AOR = 0.474, p < 0.001), maternal age (AOR = 0.599, p = 0.045), and maternal education (AOR = 0.604, p = 0.035). Higher maternal education reduced the likelihood of DBM, while firstborn male and small-sized children were at greater risk.

DBM in Tanzania is influenced by both biological and socio-demographic factors. Integrated, multi-sectoral interventions targeting maternal education, prenatal care, and optimal maternal nutrition are essential to reduce DBM and achieve global malnutrition reduction targets.