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Table 3 Association between demographic characteristics and uptake of breast cancer screening

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)

Screened

n (%)

Never screened n (%)

Age group

Less than 30

78(56.5)

60(43.5)

   

30–39

36(46.8)

41(53.2)

   

40 and above

12(42.9)

16(57.1)

2.91(0.233)

  

Educational level

No formal education

17(34.7)

32(65.3)

 

Ref

Ref

Primary

28(57.1)

21(42.9)

 

0.40(0.03, 0.18) (0.027)

0.46(0.20, 1.08) (0.074)

JHS

26(37.7)

43(62.3)

 

0.88(0.41, 1.89) (0.740)

1.16(0.50, 2.70) (0.737)

SHS/Technical

25(61.0)

16(39.0)

 

0.34(0.14, 0.80) (0.014)

0.48(0.18, 1.30) (0.151)

Tertiary

30(85.7)

5(14.3)

29.32(< 0.001)

0.09(0.03, 0.27) (< 0.001)

0.10(0.02, 0.54) (0.008)

Religion

Christianity

113(53.6)

98(46.4)

   

Islamic

12(40.0)

18(60.0)

   

Traditionalist

1(50.0)

1(50.0)

1.94(0.380)

  

Marital status

Never married

28(51.9)

26(48.1)

   

Married

98(51.9)

91(48.1)

0.00(1.000)

  

Occupation

Civil servant

21(84.0)

4(16.0)

 

Ref

Ref

House Wife

62(44.9)

76(55.1)

 

6.44(2.10, 19.74) (0.001)

0.97(0.15, 6.45) (0.973)

Others

12(46.2)

14(53.8)

 

6.13(1.64, 22.89) (0.007)

0.86(0.11, 6.47) (0.883)

Unemployed

31(57.4)

23(42.6)

14.01(0.003)

3.89(1.18, 12.90) (0.026)

0.62(0.09, 4.47) (0.636)