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Table 2 Results from unadjusted (left columns) and adjusted (right columns) log binomial regression modeling of a positive malaria RDT result

From: Malaria prevalence and long-lasting insecticidal net use in rural western Uganda: results of a cross-sectional survey conducted in an area of highly variable malaria transmission intensity

Variable

RR

95% CI

p-value

aRR

95% CI

p-value

Bed net elevation

0.82

0.72–0.93

0.002

0.75

0.66–0.85

< .001

Quartile 1

 

REF

 

–

–

–

 No net

–

–

–

 

REF

 

 Yes net

–

–

–

0.65

0.53–0.81

< .001

Quartile 2

1.00

0.87–1.16

0.96

–

–

–

 No net

–

–

–

0.87

0.70–1.09

0.24

 Yes net

–

–

–

0.74

0.61–0.90

0.002

Quartile 3

0.32

0.27–0.39

< 0.001

–

–

–

 No net

–

–

–

0.33

0.25–0.44

< .001

 Yes net

–

–

–

0.21

0.16–0.28

< .001

Quartile 4

0.20

0.15–0.26

< 0.001

–

–

–

 No net

–

–

–

0.15

0.10–0.23

< .001

 Yes net

–

–

–

0.15

0.11–0.22

< .001

  1. Unadjusted model regresses RDT result on elevation quartile, and adjusted model regresses RDT result on elevation quartile, bed net use, and their interaction
  2. CI confidence interval, RR risk ratio, aRR adjusted risk ratio