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Table 3 Relationship between Demographic Factors and Knowledge of Risk Factors Associated With Cervical Cancer

From: Assessment of community health volunteers’ knowledge on cervical cancer in Kadibo Division, Kisumu County: a cross sectional survey

Demographic characteristic

Df

Many children (p-value)

Many sexual partners (p-value)

Early onset of sexual activity

(p-value)

HPV infection (p-value)

Smoking (p-value)

Immune suppression (p-value)

Gender

1

0.269

0.229

0.356

0.272

0.475

0.096

Age

8

0.148

0.003

0.290

0.650

0.411

0.292

Education

2

0.465

0.517

0.728

0.310

0.800

0.001

Marital status

2

0.214

0.337

0.965

0.313

0.367

0.940

Occupation

3

0.093

0.008

<0.0001

0.270

0.374

0.617

Health centre

3

0.399

<0.0001

<0.0001

<0.0001

0.584

0.001

Duration worked

3

0.177

0.386

0.065

0.060

0.355

0.114

Demographic characteristics

Proportions

Knowledge on risk factors (p value)

Knowledge on risk factors (χ2 values)

Logistic regression

     

p-value

O.R. (95% CI)

Gender

Male

Female (Ref*)

NA*

0.929

0.520

0.472

1.402, (0.558–3.523)

Age groups

    

0.089

 

20–24

NA*

0.142

5.518

0.287

0.167, (0.006–4.515)

25–29

   

0.022

0.050, (0.004–0.652)

30–34

   

0.162

0.183, (0.017–1.980)

35–39

   

0.121

0.155, (0.015–1.634)

40–44

   

0.071

0.111, (0.010–1.207)

45–49

   

0.103

0.136, (0.012–1.492)

50–54

   

0.531

0.458, (0.040–5.256)

55–59 (Ref*)

     

Education level

    

0.150

 

Primary,

38.5%

0.012

3.839

0.731

1.250, (0.350–4.462)

Secondary,

24.7%

  

0.525

0.656, (0.179–2.402)

Post secondary (Ref*)

33.3%

    

Marital status

    

0.418

 

Single

NA*

0.059

1.789

0.881

1.250, (0.067–23.259)

Married

   

0.228

0.545, (0.203–1.461)

Separated (Ref*)

     

Occupation

    

0.086

 

Small scale,

39.4%

<0.0001

12.722

0.082

2.763, (0.880–8.670)

Commercial farming

0.0%

  

0.999

0.000

Business,

16.7%

  

0.835

0.850, (0.184–3.923)

Casual work (Ref*)

19.0%

    

Health centre attached

    

<0.0001

 

Rabuor

80.0%,

<0.0001

71.013

<0.0001

70.200,(8.341–590.809)

Nyangande

16.9%

  

0.181

4.135, (0.516–33.150)

Hongo Ogosa

13.3%

  

0.541

2.077, (0.200–21.596)

Kanyagwal (Ref*)

5.3%

    

Duration worked in years

    

0.673

 

<2

NA*

0.059

1.581

0.979

0.968, (0.084–11.095)

2–4

   

0.219

0.509, (0.174–1.494)

5–7

   

0.872

0.947, (0.489–1.834)

>7 (Ref*)

     
  1. Statistical significance determined by Chi-square and logistic regression analysis. Values in bold are statistically significant at P ≤ 0.05. Proportion represents participants with average knowledge. NA* not applicable. Ref* Reference
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BMC Health Services Research

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