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. 2017;18(4):969–979. doi: 10.22034/APJCP.2017.18.4.969

Table 4.

Possible Predictors Using Logistic Regression Models for Cervical Cancer Screening, Awareness of Risk Factors and Signs of Cervical Cancer among the Included Secondary School Teachers, in Al Hassa

Independent variables Screening Awareness of risk factors Awareness of early signs
Odds ratio (95% C.I) P value Odds ratio (95% C.I) P value Odds ratio (95% C.I) P value
Age groups: < 30 years 1 1 1
 30 to <40 years 0.93(0.26-3.30) 0.915 0.57(0.20-1.65) 0.583 1.82(0.71-4.66) 0.21
 ≥ 40 years 0.65(0.27-1.55) 0.33 0.74(0.36-1.52) 0.301 0.81(0.42-1.57) 0.537
Marital status: Married 1.11(0.61-2.04) 0.735 0.69(0.41-1.16) 0.404 0.89(0.57-1.40) 0.627
Educational level: (College or higher) 1.71(0.81-3.60) 0.159 1.68(1.01-3.04) 0.162 0.78(0.47-1.29) 0.332
Residence: (urban) 3.39(1.76-6.46) 0.001 1.20(0.66-2.29) 0.089 1.56(0.56-2.58) 0.397
Perceived risk: (above average) 1.72(1.03-2.87) 0.012 0.82(0.59-1.15) 0.147 1.18(0.88-1.58) 0.227
Risk factors awareness: (higher) 1.64(0.94-2.88) 0.082 - - - -- 2.49(1.64-3.70) 0.001
Signs of cancer awareness: (knowledgeable) 1.27(0.75-2.17) 0.376 2.50(1.65-3.80) 0.001 --- --
Cervical cancer screening: Yes --- -- 1.87(1.14-2.94) 0.036 1.30(0.78-2.21) 0.343
 Percent predicted for the model 86 73.9 63.4
 Hosmer-Lemeshow Chi square (P value) 8.54 (0.335) 9.41(0.309) 10.82(0.212)