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Table 3 Associations between demographic characteristics and knowledge of risk factors for cervical cancer among participants who were aware of cervical cancer (n = 360)

From: Women’s knowledge and attitudes related to cervical cancer and cervical cancer screening in Isiolo and Tharaka Nithi counties, Kenya: a cross-sectional study

Demographic variables

Knowledgeable of risk factors for cervical cancer

OR

p-value

aOR

 

No (%)

Yes (%)

(95% CI)

 

(95% CI)

Age (years)

18–29

85 (42.5%)

59 (36.9%)

 

≥30

115 (57.5%)

101 (63.1%)

1.3 (0.8–2.0)

0.279

1.2 (0.7–1.9)

Education level

≤ Primary education

108 (54.0%)

66 (41.2%)

   

≥ Secondary education

92 (46.0%)

94 (58.8%)

1.7 (1.1–2.6)

0.016

1.3 (0.8–2.1)

Marital status

Unmarried

58 (29.9%)

53 (33.1%)

   

Married

142 (71.0%)

107 (66.9%)

0.8 (0.5–1.3)

0.339

0.8 (0.5–1.3)

Employment status

Unemployed/student

110 (55.0%)

55 (34.4%)

   

Employed

90 (45.0%)

105 (65.3%)

2.3 (1.5–3.7)

< 0.001

1.6 (1.0–2.6)a

County of origin

Isiolo

75 (37.5%)

22 (13.8%)

   

Tharaka Nithi

125 (62.5%)

138 (86.2%)

3.8 (2.2–6.7)

< 0.001

2.8 (1.6–5.0)a

  1. OR odds ratio
  2. aOR adjusted odds ratio
  3. n number of respondents
  4. % percentage
  5. aStatistically significant