A Dual Malnutrition Challenge in Tanzania Explored Through Logistic Regression Analysis

Area of Science:

• Public Health
• Nutritional Epidemiology
• Global Health

Background:

• The double burden of malnutrition (DBM), defined as the coexistence of undernutrition and overnutrition within households, is a growing global health challenge.
• Low- and middle-income countries, including Tanzania, face a nutritional transition characterized by persistent child malnutrition and rising maternal overweight.
• This transition poses complex public health issues, necessitating research into the factors driving DBM.

Purpose of the Study:

• To investigate the socio-demographic, maternal, and child-level factors associated with the double burden of malnutrition (DBM) in children under five years old in Tanzania.
• To identify key predictors of DBM to inform targeted public health interventions.

Main Methods:

• A cross-sectional study utilizing data from the 2022 Tanzania Demographic and Health Survey.
• A weighted sample of 5744 children under five and their mothers (aged 15-49) was analyzed.
• DBM was defined by child malnutrition (Composite Index of Anthropometric Failure - CIAF) in households with overweight/obese mothers; statistical analyses included chi-square tests and binary logistic regression.

Main Results:

• DBM prevalence was higher in rural areas of Tanzania.
• Significant predictors of DBM included birth order, child sex, perceived birth size, child age, maternal age, and maternal education.
• Higher maternal education was associated with a reduced likelihood of DBM, while firstborn male and small-sized children faced increased risk.

Conclusions:

• DBM in Tanzania is a complex issue influenced by a combination of biological and socio-demographic factors.
• Interventions should be integrated and multi-sectoral, focusing on improving maternal education, prenatal care, and maternal nutrition.
• Addressing these factors is crucial for reducing DBM and achieving global malnutrition reduction targets.