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Table 9 Socio-economic variables impacting malaria prevention behaviour

From: An exploratory study of community factors relevant for participatory malaria control on Rusinga Island, western Kenya

Variables*

Odds Ratio

95% C.I. for Odds Ratio

P

  

Lower

Upper

 

Factors associated with ownership and usage of bednets

Socio-economic status*

    

most poor

1.000

   

very poor

1.918

1.186

3.101

0.008

poor

3.816

2.241

6.498

<0.001

less poor

3.640

2.205

6.008

<0.001

least poor

6.849

3.885

12.076

<0.001

Factors associated with use of insecticides and repellents

Women-headed*

1.470

1.073

2.014

0.017

Factors associated with proper disposal of tins and rubbish

Women-headed*

0.708

0.514

0.974

0.034

Factors associated with bush clearing

Non-CCF*

0.687

0.547

0.864

0.001

Women-headed*

0.564

0.424

0.751

<0.001

Factors associated with boiling/treating drinking water

Women-headed*

1.929

1.240

3.000

0.004

Socio-economic status*

    

most poor

1.000

   

very poor

1.807

0.889

3.673

0.102

poor

2.315

1.157

4.632

0.018

less poor

2.384

1.187

4.791

0.015

least poor

2.185

1.053

4.534

0.036

Factors associated with not practicing any malaria prevention behaviour

Non-CCF*

1.400

1.001

1.958

0.049

Women-headed*

1.461

1.000

2.134

0.050

Socio-economic status*

    

most poor

1.000

   

very poor

0.607

0.383

0.961

0.033

poor

0.699

0.444

1.099

0.121

less poor

0.430

0.258

0.717

0.001

least poor

0.469

0.282

0.781

0.004

  1. *Variables entered on step 1: CCF-enrolment, sex of household head, socio-economic status