Dietary patterns and their socioeconomic factors of adherence among adults in urban Burkina Faso: a cross-sectional study

BACKGROUND: Sub-Saharan African populations undergo a nutrition transition towards diets associated with increased risk for metabolic and cardiovascular diseases. For targeted prevention, we aimed to characterize dietary patterns and determine their sociodemographic factors of adherence. METHODS: We recruited 1,018 adults aged > = 25 years from two formal and three informal settlements within the Health and Demographic Surveillance System, Ouagadougou, Burkina Faso, between February and April 2021. In a cross-sectional sample, a culture-specific food-propensity questionnaire with 134 food items and a sociodemographic questionnaire were used to collect the data. Exploratory dietary patterns were derived using principal component analysis, and sociodemographic factors of adherence were calculated using multivariable linear regression models. RESULTS: In this study population (median age: 42 years, interquartile range 21 years; male: 35.7%), the diet relied on starchy foods and other plant-based staples with rare consumption of animal-based products. We identified three dietary patterns, explaining 10.2%, 9.8%, and 8.9% of variation in food intake, respectively: a meat and egg-based pattern associated with younger age, male sex, better education, and economic situation; a fish-based pattern prevailed among women, higher educational levels, and better economic situation; and a starchy food-based was associated with younger age and sharing a home with other adults. CONCLUSIONS: This study population is at an early stage of the nutrition transition and shows low intakes of health-beneficial food groups. Yet, progress along the nutrition transition varies according to age, educational attainment, and economic status. Particularly, younger and well-off people seem to adhere more strongly to diets high in animal-based products. These findings can inform strategies in public health nutrition for sub-Saharan African populations.