RESUMO
BACKGROUND: In the midst of success with malaria reduction in Uganda, there are areas that still have high prevalence of malaria parasitaemia. This project aimed at investigating factors associated with this prevalence and its relationship with anaemia. METHODS: This is a secondary data analysis of the 2014 Malaria Indicator Survey dataset of children under 5 years. All had a blood sample taken by finger or heel prick for determination of malaria parasitaemia and estimation of haemoglobin level for anaemia status. The main outcome was the presence of malaria parasitaemia by microscopy and independent variables included: age, gender, residence (urban vs rural), use of a long-lasting, insecticidal-treated net, indoor residual spraying (IRS) of household in the past 6 months, mother's highest education level, mother heard malaria prevention message in the past 6 months, and household wealth status. RESULTS: The analysis included 4930 children and of these, 938 (19.04%: 95% CI 16.63-21.71) tested positive for malaria parasites. Malaria parasite prevalence significantly increased from 11.08 (95% CI 9.12-13.40) among children with no anaemia to 50.99% (95% CI 39.13-62.74) with severe anaemia (Chi-square p-value = 0.001). Additionally, prevalence significantly rose from the youngest age group (under 6 months) by 1.62 times (95% CI 1.04-2.52, p = 0.033) among the age group of 7-12 months and to four times (95% CI 2.57-6.45, p = 0.001) among those who were between 49 and 59 months. The following were associated with reduced parasitaemia: IRS use (AOR 0.23 [0.08-0.61], p = 0.004), educated mothers (primary AOR 0.75 [0.59-0.96], p = 0.023 to tertiary AOR 0.11 [0.02-0.53], 0.006), mother heard malaria message (AOR 0.78 [0.62-0.99], p = 0.037), and wealthier households (richest AOR 0.17 [0.08-0.36], p = 0.001). CONCLUSIONS: Increasing malaria parasite prevalence among children under 5 years is still related to increasing age and severity of anaemia even in the context of decreasing malaria prevalence. Designing interventions that include the use of IRS and behaviour change communication tailored to include older children, especially in areas with high malaria prevalence, could be of added value. All this should be done in an environment that improves the socio-economic status and equity of such populations.