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Table 2 Predictors of malaria risk obtained from mixed-effects logistic regression analysis, Butajira area, Ethiopia, October 2008 to June 2010

From: Malaria risk factors in Butajira area, south-central Ethiopia: a multilevel analysis

Fixed-effects

 

Unadj. OR (95% CI)

Adj. OR (95% CI)

Age groups

   

 <5

 

3.71 (2.49-5.52)**

3.62 (2.43-5. 40)**

 5-9

 

3.40 (2.30-5.02)**

3.39 (2.30-5.01)**

 10-14

 

1.48 (0.87-2.51)

1.49 (0.88-2.53)

Gender

   

 Male

 

1.33 (0.99-1.79)

1.24 (0.92-1.67)

Altitudinal strata

   

 1,800-1,899 m

 

5.12 (3.29-7.98)**

5.22 (2. 67–10.22)**

  IOR-80%

  

(3.74-7.24)

 1,900-1,999 m

 

3. 63 (2.02-6.52)**

3.80 (2.09-6.91)**

  IOR-80%

  

(2.72-5.26)

Wealth group

   

 Lowest

 

2.02 (1.03-3.94)

0.75 (0.37-1.53)

 Middle

 

1.32 (0.78-2.22)

1.00 (0.59-1.69)

House status

   

 Dilapidated

 

1.00 (0.60-1.66)

1.00 (0.60-1.67)

 Holes

 

1.57 (1.11-2.22)*

1.59 (1.12-2.26)*

 IOR-80%

  

(1.14-2.22)

Seasons

   

October-November 2008

 

7.95 (3.94-16.01)**

7.84 (3.89-15.81)**

 IOR-80%

  

(5.64-10.91)

January.-February 2009

 

2.35 (1.05-5.25)*

2.33 (1.04-5.21)*

 IOR-80%

  

(1.68-3.16)

June-July 2009

 

3.76 (1.94-7.30)**

3.83 (1.97-7.43)**

 IOR-80%

  

(2.74-5.31)

October-November 2009

 

7.68 (4.25-13.88)**

7.71 (4.26-13.93)**

 IOR-80%

  

(5.53-10.70)

January.-February 2010

 

2.93 (1.54-5.54)*

3.05 (1.61-5.77)*

 IOR-80%

  

(2.18-4.22)

Parameters/Models

Empty [95%CI] (SE)

Individual-predictor [95%CI] (SE)

Final [95%CI] (SE)

Fixed-effects

   

Village intercept

0.81 [0.49-1.31] (0.25)

0.11 [0.06-0.18] (0.28)

0.01 [0.006-0.03] (0.37)

Village intercept variance

0.80 [0.32-2.01] (0.21)

0. 71 [0.28-1.82] (0.34)

0.034 [0.002-0.615] (0.05)

Random- effects

   

ICC (%)

19.5

17.7

1.0

MOR

2.34 (0.21)

2.23 (0.34)

1.19 (0.05)

PCV (%)

-

11.2

95.7

  1. *P<0.05, ** P<0.001, IOR-80=interval odds ratio-80, SE, standard error of variance,
  2. ICC, intra-class correlation co-efficient, MOR, median odds ratio, PCV, proportional change variance.