Food consumption patterns, seasonal dietary diversity, and factors affecting food intake in rural Eastern Uganda: a mixed-methods cross-sectional study

This mixed-methods cross-sectional study examines food consumption patterns, dietary diversity, and factors affecting food intake and malnutrition in the rural Mbale District in Eastern Uganda, during both wet and dry seasons. Participants (n=100; 66% females) completed a food frequency questionnaire identifying foods and beverages consumed in the preceding 12 months. Individual interviews (n=8) were conducted with key workers. Analysis of seventeen food items revealed seasonal variations in carbohydrate and protein sources. During the dry season, staples like matooke (mashed boiled plantains) and sweet and Irish potatoes were affected, while protein-rich foods such as beans and groundnuts saw increased consumption in the wet season. Fruit and vegetable intake also rose during the wet season. The main causes of malnutrition that emerged from the interviews were the lack of knowledge about food and nutrition, financial struggles, climate impact, and cultural beliefs. The last theme covered strategies to combat malnutrition. Although carbohydrate intake remains consistent throughout seasons due to reliance on posho (maize flour porridge) and cassava, variations in the number of meals and protein sources, particularly beans and groundnuts, were observed. Both of these, being the primary protein sources in rural households' diets, are highly susceptible to climate fluctuations. This may pose significant implications for food security, as heightened climate instability may impede their production. Solutions to combat malnutrition discussed by the interviewees include education, employment, family planning, and healthcare improvements. Professionals emphasise the need for comprehensive approaches to address these complex issues. In addition, data on food consumption during the dry and wet seasons should be collected as a difference in food consumption during the seasons may become more prominent with the need to implement tailored interventions.