Abstract
Background: To determine the dietary patterns, anthropometric status, prevalence and risk factors for anaemia among school children aged 5-11 years in a peri-urban area of Central Uganda. Methods: A cross-sectional study involving both qualitative and quantitative methods was used. Anthropometric data were taken using standardised equipment, whereas haemoglobin was assessed using a haemoglobin meter. Food intake was assessed using a food frequency questionnaire. One hundred and twenty-two primary school children, aged 5-11 years, and their carers were recruited in the study. Results: The proportion of anaemic children (haemoglobin <12 g/dl) was 37.7%; 36.9% of these had mild and 0.8% had moderate anaemia. The unadjusted odds ratio (OR) showed that children who never consumed fish had a nine-fold increased odds of being anaemic [OR = 9.0, 95% confidence interval (CI) = 1.6-50.7; P = 0.018], whereas those who had fewer meals (1-2 per day) had a 27.0% increased risk (OR = 3.7, 95% CI = 1.1-12.6; P = 0.021). The adjusted OR showed number of meals per day as the only independent predictor of anaemia (OR = 3.5, 95% CI = 1.1-11.8; P = 0.031). The proportion of malnutrition ( 8 years were associated with wasting (P = 0.041) and stunting (P = 0.034). One main dietary pattern was identified explaining approximately 20.4% of the variability of intake in the population. However, scores of this pattern were not significantly associated with child haemoglobin levels. Conclusions: Anaemia but not macronutrient malnutrition in this cohort of school children is high. Patterns of the dietary intake observed did not explain nutritional status in this population. © 2013 The British Dietetic Association Ltd.
Author supplied keywords
Cite
CITATION STYLE
Turyashemererwa, F. M., Kikafunda, J., Annan, R., & Tumuhimbise, G. A. (2013). Dietary patterns, anthropometric status, prevalence and risk factors for anaemia among school children aged 5-11 years in Central Uganda. Journal of Human Nutrition and Dietetics, 26(SUPPL.1), 73–81. https://doi.org/10.1111/jhn.12069
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.