Skip to main content

Table 5 Logistic regression of factors influencing breast cancer screening based on the HBM

From: Factors that influence breast cancer screening among women of reproductive age in the Nandom Municipality, Ghana

Variable

Uptake of breast cancer screening

Chi-square (p-value)

COR (95% CI) (p-value)

AOR (95% CI) (p-value)

Pseudo R2

Screened n(%)

Never screened n(%)

General Pseudo R2 = 7.35%

Perceived susceptibility

Low susceptibility

54(64.3)

30(35.7)

 

Ref

Ref

 

High susceptibility

72(45.3)

87(54.7)

7.95(0.005)

2.18(1.26, 3.75) (0.005)

1.97(1.12, 3.47) (0.019)

2.39%

Perceived severity

Low severity

14(77.8)

4(22.2)

 

Ref

Ref

 

High severity

112(49.8)

113(50.2)

5.23(0.022)

3.53(1.13, 11.06) (0.030)

4.55(1.32, 15.76)(0.017)

1.65%

Perceived benefit

Low benefit

6(66.7)

3(33.3)

    

High benefit

120(51.3)

114(48.7)

0.82(0.365)

   

Perceived barriers

Low barrier

67(63.8)

38(36.2)

 

Ref

Ref

 

High barrier

59(42.8)

79(57.2)

10.59 (< 0.001)

2.36 (1.40, 3.98) (< 0.001)

0.15(1.42, 4.22) (< 0.001)

3.18%

Perceived Self-efficacy

Low self-efficacy

10(62.5)

6(37.5)

    

High self-efficacy

116(51.1)

111(48.9)

0.78(0.378)

   
  1. The overall predictive power of the HBM over breast cancer screening was 7.35%