Oyet Sunday Mark, Kaahwa Robert Mbabazi, Muggaga Christopher, Ongeng Duncan, Okello-Uma Ipolto
Faculty of Agriculture and Environment, Department of Food Science and Postharvest Technology, Gulu University, P.O. Box 166, Gulu, Uganda.
BMC Public Health. 2025 Jan 24;25(1):303. doi: 10.1186/s12889-025-21476-2.
Globally, 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.
A 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.
There 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.
The 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.
在全球范围内,饮食多样性在解决营养不良问题和促进整体健康方面的重要性日益得到认可。然而,城市化进程的加快导致了饮食偏好、食物消费模式的转变,以及对营养成分较低的加工食品的更大依赖。应对这些挑战的努力一直没有成效,因为城市周边地区的营养问题往往较少受到关注,食物和营养不安全通常被视为农村问题。因此,本研究调查了农村和城市周边家庭的饮食多样性(DD)及其社会经济和人口统计学预测因素。
对乌干达东部农村和城市周边地区的221户家庭进行了一项横断面研究,分别使用家庭饮食多样性评分(HDDS)和结构化问卷收集了关于DD、社会经济和人口统计学因素的数据。在SPSS中使用描述性统计方法对数据进行分析,并使用独立样本t检验比较农村和城市周边地区的平均DD得分。Pearson卡方检验用于检验食物组消费的差异,而在STATA中进行二元逻辑回归以确定家庭饮食多样性的社会经济和人口统计学预测因素。
农村和城市周边家庭的饮食多样性(DD)没有显著差异,平均DD得分分别为6.64±1.60和6.55±1.30,表明两个地区的饮食多样性水平均处于中等。然而,在谷物和根茎类/块茎类/芭蕉类食物的消费上观察到了显著差异(p<0.05),而在这两种环境下,动物源性食物和水果的摄入量总体上仍然较低。在农村地区,家庭DD受到户主(β:-1.276)和配偶(β:-1.123)的教育水平以及获得信贷的机会(β:1.136)的显著影响,而在城市周边地区,月平均收入(β:-0.801)是家庭DD的一个显著预测因素。
该研究表明,农村和城市周边家庭的饮食多样性相似且处于中等水平,主要由植物性食物组成,水果和动物源性食物的消费量有限。社会经济因素,包括教育水平、获得信贷的机会和收入,对DD有显著影响。这些结果突出了社会经济和人口统计学因素在塑造家庭饮食方面的作用,并强调了需要有针对性的干预措施来改善饮食多样性并填补研究区域的营养缺口。