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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