Intention to Screen for Cervical Cancer in Debre Berhan Town, Amhara Regional State, Ethiopia: Application of Theory of Planned Behavior
Table 2
Simple and multiple logistic regression analysis of factors associated with intention to screen for cervical cancer, Debre Berhan town, Ethiopia, 2017.
Variables
Intention
COR (95% CI)
AOR (95% CI)
Yes, (%)
No, (%)
Age group
30 to 34
81 (18.6)
85 (23.5)
1
1
35 to 39
154 (35.3)
146 (40.4)
0.903 (0.618, 1.32)
1.329 (0.787, 2.244)
40 to 44
132 (30.3)
89 (24.7)
0.643 (0.428, 0.964)
0.943 (0.534, 1.664)
45 to 49
69 (15.8)
41 (11.4)
0.566 (0.346, 0.926)
0.697 (0.35, 1.387)
Religion
Orthodox
371 (85.1)
326 (90.3)
1
1
Protestant
42 (9.6)
24 (6.6)
0.65 (0.385, 1.097)
0.81 (0.39, 1.684)
Others
23 (8.3)
11 (3.0)
0.544 (0.261, 1.134,)
0.691 (0.256, 1.866)
Educational level
No formal education
120 (27.5)
54 (15.0)
1
1
Primary school
131 (30.0)
102 (28.3)
1.73 (1.145, 2.614)
1.113 (0.639, 1.939)
Secondary and above
185 (42.4)
205 (56.8)
2.462 (1.688, 3.593)
0.931 (0.518, 1.676)
Occupational level
Housewife
273 (62.6)
189 (52.4)
1
1
Government employee
66 (15.1)
85 (23.5)
1.86 (1.283, 2.696)
1.223 (0.664, 2.252)
Farmer
60 (13.8)
49 (13.6)
1.18 (0.775, 1.796)
0.969 (0.529, 1.774)
Private employee
37 (8.5)
38 (10.5)
1.483 (0.91, 2.42)
0.979 (0.484, 1.98)
Number of children
No
61 (14.0)
47 (13.0)
1
1
1 to 4
353 (81.0)
306 (84.8)
1.125 (0.747, 1.695)
0.735 (0.412, 1.311)
5 and above
22 (5.0)
8 (2.2)
0.472 (0.193, 1.154)
0.403 (0.117, 1.384)
Knowledge
Poor
405 (92.9)
275 (76.2)
1
1
Moderate
26 (6.0)
65 (18.0)
3.682 (2.278, 5.949)
1.534 (0.817, 2.881)
Good
5 (1.1)
21 (5.8)
6.185 (2.305, 16.601)
2.077 (0.651, 6.63)
Attitude
Negative
342 (78.4)
70 (19.4)
1
1
Positive
94 (21.6)
291 (80.6)
15.125 (10.694, 21.392)
6.164 (4.048, 9.387)
Subjective norms
Negative
331 (75.9)
70 (19.4)
1
1
Positive
94 (21.6)
291 (80.6)
4.005 (2.96, 5.418)
2.001 (1.342, 2.982)
PBC
Low
311 (71.3)
52 (14.4)
1
1
High
125 (28.7)
309 (85.6)
14.784 (10.318, 21.185)
7.105 (4.671, 10.807)
Significantly associated with simple logistic regression analysis. Significantly associated with multiple logistic regression analysis.
