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Table 3 Univariable and multivariable explanatory logistic regression analyses of malaria parasitaemia for Batwa and non-Batwa of Kanungu District, Uganda, July 2013 and April 2014

From: Plasmodium falciparum malaria parasitaemia among indigenous Batwa and non-indigenous communities of Kanungu district, Uganda

Risk factor Univariable models Unadjusted odds (OR [CI])a Reduced multivariable model Adjusted odds (OR [CI])a
N = 717
Non-modifiable
 Age N = 688  
  <50 years Ref  
  ≥50 years 1.49 [0.73–3.04]  
 Sex N = 749  
  Female Ref  
  Male 0.99 [0.55–1.81]  
 Ethnicity N = 758  
  Non-Batwa Ref Ref
  Batwa 2.21 [1.23–3.98] 1.88 [1.00–3.58]
Modifiable
 Relative wealth N = 728  
  Wealthier 50 % Ref Ref
  Poorer 50 % 2.48 [1.30–4.66] 1.96 [0.98–3.94]
 Bed net ownership N = 755  
  Yes Ref  
  No 1.36 [0.76–2.43]  
 Livestock ownership N = 753  
  Yes Ref Ref
  No 1.59 [0.87–2.91] 1.44 [0.75–2.79]
 House construction (roof) N = 752  
  Thatch Ref Ref
  Iron sheets 1.92 [0.75–4.94] 2.54 [0.96–6.72]
 Malaria knowledge (avoid mosquito bites) N = 755  
  Yes Ref Ref
  No 2.11 [0.89–5.06] 1.92 [0.79–4.63]
  1. aUnadjusted odds represents the logistic regression model for each variable alone and the outcome of interest (RDT positivity). Adjusted odds is the odds ratio when all listed variables are included in the logistic regression model. These results are consistent on sensitivity analysis for survey date