BMC Nutrition (Jul 2023)
Status of household dietary diversity and associated factors among rural and urban households of Northern Uganda
Abstract
Abstract Background In Northern Uganda, 21 and 52.4% of children under five are underweight and stunted, respectively while 32.9% of pregnant women are anemic. This demographic situation suggests among other issues, a lack of dietary diversity among households. Good nutrition practices that confer dietary quality such as dietary diversity are known to depend on nutrition knowledge and attitude and are shaped by sociodemographic and cultural factors. However, there is a paucity of empirical evidence to support this assertion for the variably malnourished population of Northern Uganda. Methods A cross-sectional nutrition survey was conducted among 364 household caregivers (182 from two locations in Northern Uganda; Gulu District (the rural) and Gulu City (the urban), selected through a multistage sampling approach. The aim was to determine the status of dietary diversity and its associated factors between rural and urban households of Northern Uganda. The household dietary diversity questionnaire and the food frequency questionnaire on a 7-day reference period were used to collect data on household dietary diversity whereas multiple choice questions and the five points Likert Scale were used to determine knowledge and attitude toward dietary diversity. Consumption of ≤ 5 food groups were regarded as low in dietary diversity, 6–8 food groups as medium and ≥ 9 as high dietary diversity score using the FAO 12 food groups. An Independent two-sample t-test was used to differentiate the status of dietary diversity between the urban and rural areas. The Pearson Chi-square Test was used to determine the status of knowledge and attitude while Poisson regression was used to predict dietary diversity based on caregivers’ nutritional knowledge and attitude and their associated factors. Results The 7-day dietary recall period revealed that dietary diversity was 22% higher in urban (Gulu City) than in the rural area (Gulu District) with rural and urban households achieving medium (score of 8.76 ± 1.37) and high (score of 9.57 ± 1.44) dietary diversity status, respectively. Diets in both locations were dominated by starchy cereals and tubers while animal-source foods and fruits and vegetables were the least consumed. A higher proportion (51.65%) of urban respondents had good nutrition knowledge toward dietary diversity compared to their rural counterparts (23.08%) and a significantly higher proportion (87.91%) of the former exhibited positive attitude towards dietary diversity than the rural counterparts (72.53%). Application of the Poisson regression shows that nutritional knowledge was a positive predictor of dietary diversity in the rural (β = 0.114; ρ = 0.000) than in the urban areas (β = -0.008; ρ = 0.551). Caregivers attitude had no significant effect across locations. In terms of associated factors, marital status is a positive predictor of dietary diversity in the urban (β = 1.700; ρ = 0.001) than the other location (β = -2.541; ρ = 0.008). Whereas education level of household caregiver and household food expenditure show negative effects across the two locations, the educational level of the household head is an outlier as it positively predicted dietary diversity in the rural (β = 0.003; ρ = 0.002) when compared to urban area (β = -0.002; ρ = -0.011). Conclusion Rural households in Northern Uganda have medium-level dietary diversity with urban households having high dietary diversity. Diets in both locations are dominated by starchy cereals and roots and tubers. The urban–rural food divide can be harmonized through nutrition education and outreach, specifically focusing on the FAO 12 food groups. Attitude toward consumption of fruits and vegetables which are seasonally abundant would improve dietary diversity and nutritional outcomes in the study area.
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