BackgroundGlobally, the importance of dietary diversity in addressing malnutrition and promoting overall health is increasingly being recognized. However, increasing urbanization has led to shifts in dietary preferences, food consumption patterns, and a greater reliance on less nutritious processed foods. Efforts to address these challenges have been futile, as nutrition in peri-urban areas often receives less attention, with food and nutrition insecurity typically seen as a rural issue. This study, therefore, examined dietary diversity (DD) and its socio-economic and demographic predictors in rural and peri-urban households.MethodsA cross-sectional study of 221 households in rural and peri-urban Eastern Uganda collected data on DD, socio-economic and demographic factors using the Household Dietary Diversity Score (HDDS) and structured questionnaires, respectively. The data were analyzed in SPSS using descriptive statistics, and independent sample t-tests compared mean DD scores between rural and peri-urban areas. Pearson Chi-square tested differences in food group consumption, while binary logistic regression in STATA identified socio-economic and demographic predictors of household dietary diversity.ResultsThere was no significant difference in dietary diversity (DD) between rural and peri-urban households, with mean DD scores of 6.64 ± 1.60 and 6.55 ± 1.30, respectively, indicating a medium level in both areas. However, significant differences were observed in the consumption of cereals and roots/tubers/plantains (p < 0.05), while intake of animal-source foods and fruits remained generally low across both settings. In rural areas, household DD was significantly influenced by the education levels of the household head (β: -1.276) and spouse (β: -1.123), as well as access to credit (β: 1.136), while in peri-urban areas, average monthly income (β: -0.801) was a significant predictor of household DD.ConclusionThe study showed that dietary diversity was similar and at a medium level in both rural and peri-urban households, and mainly consisted of plant-based foods, with limited consumption of fruits and animal-sourced foods. Socio-economic factors, including level of education, access to credit, and income, significantly influenced DD. These results highlight the role of socio-economic and demographic factors in shaping household diets and underscores the need for targeted interventions to improve dietary diversity and address nutritional gaps in the study area.
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