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Table 8 Demographic variables impacting correct knowledge and misconceptions about potential methods to prevent malaria

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 knowledge of bednets

Non-CCF*

0.438

0.306

0.627

<0.001

Age*

    

below 25

1.000

   

25 to 34

1.393

0.882

2.200

0.155

35 to 44

1.164

0.703

1.926

0.555

above 45

0.525

0.327

0.844

0.008

Education*

    

none

1.000

   

primary

2.071

1.179

3.638

0.011

secondary

3.928

1.935

7.975

<0.001

college

542.724

0.000

1.43E+09

0.404

Factors associated with knowledge of source reduction (filling burrow pits)

Non-CCF*

0.712

0.566

0.894

0.004

Women*

0.745

0.579

0.959

0.022

Education*

    

none

1.000

   

primary

1.032

0.637

1.672

0.899

secondary

2.660

1.569

4.510

<0.001

college

7.446

2.570

21.573

<0.001

Factors associated with knowledge of insecticides and repellents

Non-CCF*

0.514

0.381

0.693

<0.001

Age*

    

below 25

1.000

   

25 to 34

0.937

0.653

1.343

0.723

35 to 44

0.542

0.349

0.842

0.006

above 45

0.576

0.376

0.883

0.011

Factors associated with belief in bush clearing

Non-CCF*

0.552

0.445

0.685

<0.001

Women*

0.736

0.578

0.938

0.013

Education*

    

none

1.000

   

primary

1.602

1.007

2.551

0.047

secondary

2.431

1.454

4.067

0.001

college

3.312

1.263

8.689

0.015

Factors associated with belief in increased hygiene and keeping warm

Non-CCF*

1.419

1.107

1.818

0.006

Age*

    

below 25

1.000

   

25 to 34

1.279

0.929

1.762

0.132

35 to 44

1.335

0.937

1.903

0.110

above 45

1.639

1.132

2.371

0.009

Education*

    

none

1.000

   

primary

0.639

0.394

1.037

0.070

secondary

0.544

0.316

0.937

0.028

college

0.205

0.056

0.758

0.018

  1. *Variables entered on step 1: sex, age group, CCF-enrolment and education level of respondent