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Table 2 Multilevel logistic regression models of correlates of mosquito net use among women in Nigeria

From: Individual and contextual correlates of mosquito net use among women in Nigeria

Variable

Model 1a

Model 2b

Model 3c

Model 4d

aOR (CrI)

aOR (CrI)

aOR (CrI)

aOR (CrI)

Individual-level factors

    

 Age

    

  15–24

 

0.97 (0.82–1.14)

0.94 (0.79–1.11)

0.93 (0.78–1.09)

  25–34

 

1.07 (0.92–1.23)

1.07 (0.91–1.26)

1.05 (0.89–1.23)

  35+

 

1 (reference)

1 (reference)

1 (reference)

 Education

    

  No education

 

1.01 (0.82–1.24)

0.87 (0.69–1.08)

0.86 (0.69–1.06)

  Primary

 

1.23 (1.01–1.48)

1.17 (0.95–1.41)

1.16 (0.94–1.41)

  Secondary/higher

 

1 (reference)

1 (reference)

1 (reference)

 Household wealth index

    

  Poor

 

3.00 (2.33–3.87)

2.40 (1.81–3.19)

2.33 (1.76–3.05)

  Middle

 

2.32 (1.92–2.77)

2.09 (1.71–2.56)

2.09 (1.69–2.56)

  Rich

 

1 (reference)

1 (reference)

1 (reference)

 Mosquito causes malaria

    

  No

 

1 (reference)

1 (reference)

1 (reference)

  Yes

 

2.10 (1.71–2.53)

2.09 (1.73–2.51)

2.08 (1.71–2.58)

 Exposed to malaria messages

    

  No

 

1 (reference)

1 (reference)

1 (reference)

  Yes

 

1.39 (1.22–1.59)

1.40 (1.22–1.61)

1.39 (1.21–1.59)

 Chances of getting malaria are the same

    

  No

 

1 (reference)

1 (reference)

1 (reference)

  Yes

 

1.46 (1.25–1.67)

1.43 (1.25–1.65)

1.46 (1.25–1.69)

 Drugs for preventing malaria in pregnancy are effective

    

  No

 

1 (reference)

1 (reference)

1 (reference)

  Yes

 

2.39 (1.89–2.99)

2.43 (1.93–3.06)

2.38 (1.91–3.04)

 Tests are a good way to detect malaria

    

  No

 

1 (reference)

1 (reference)

1 (reference)

  Yes

 

3.17 (2.29–4.19)

3.23 (2.44–4.23)

3.29 (2.54–4.33)

 ACT is effective in treating malaria

    

  No

 

1 (reference)

1 (reference)

1 (reference)

  Yes

 

1.04 (0.87–1.25)

1.05 (0.91–1.23)

1.05 (0.87–1.22)

 Number of household members

    

  < 5

 

1.18 (1.02–1.36)

1.21 (1.05–1.38)

1.21 (1.05–1.39)

  5+

 

1 (reference)

1 (reference)

1 (reference)

Community-level factors

    

 Residence

    

  Urban

  

1 (reference)

1 (reference)

  Rural

  

1.001 (0.72–1.29)

1.05 (0.77–1.39)

 Region

    

  North Central

  

1 (reference)

1 (reference)

  North East

  

1.29 (0.62–3.79)

1.05 (0.55–2.15)

  North West

  

1.44 (0.61–4.03)

1.02 (0.43–2.40)

  South East

  

0.46 (0.18–1.21)

0.76 (0.39–1.39)

  South South

  

1.02 (0.42–2.17)

2.10 (1.05–3.84)

  South West

  

0.76 (0.33–1.58)

1.40 (0.77–2.46)

 Socioeconomic disadvantage

    

  Tertile 1 (least disadvantaged)

  

1 (reference)

1 (reference)

  Tertile 2

  

2.07 (1.51–2.76)

1.95 (1.39–2.59)

  Tertile 3 (most disadvantaged)

  

2.73 (1.70–4.14)

2.41 (1.35–4.49)

State-level factors

    

 Socioeconomic disadvantage

    

  Tertile 1 (least disadvantaged)

   

1 (reference)

  Tertile 2

   

2.41 (1.33–4.01)

  Tertile 3 (most disadvantaged)

   

3.80 (1.37–9.05)

Measures of variation

    

 State level

    

  Variance (SE)

0.582 (0.322–0.989)

0.551 (0.289–0.989)

0.280 (0.125–0.523)

0.192 (0.055–0.391)

  Explained variation (%)

Reference

5.28

51.8

67.0

  ICC (%)

13.18

12.42

6.75

4.72

  MOR

2.07

2.03

1.66

1.52

 Community level

    

  Variance (SE)

0.539 (0.409–0.689)

0.596 (0.434–0.782)

0.581 (0.432–0.762)

0.581 (0.430–0.768)

  Explained variation (%)

Reference

−10.5

−7.73

−7.69

  ICC (%)

25.40

25.84

20.74

19.01

  MOR

2.01

2.09

2.07

2.07

  Model fit statistics

    

  Bayesian DIC

7424

6525

6510

6514

  1. SE standard error, DIC deviation information criterion, CrI credible interval, ICC intra-cluster correlation, MOR median odds ratio
  2. aModel 1 is the empty model with no independent variables
  3. bModel 2 is adjusted for age, education, household wealth index, knowledge about causes of malaria, exposure to malaria messages, knowledge about efficacy of mosquito nets, knowledge about efficacy of malaria prevention drugs, knowledge about importance of test to detect malaria, knowledge about efficacy of ACT and number of household members
  4. cModel 3 is additionally adjusted for residence, region and community socioeconomic factors
  5. dModel 4 is additionally adjusted for state socioeconomic factors