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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