| | | |
Logistic regression analysis
|
|---|
| | |
n
|
OR
|
95% CI
|
p-value
|
|---|
|
Age
|
4
|
437
|
1.00
| | | |
|
5
|
1735
|
1.09
|
0.73
|
1.63
|
0.659
|
|
6
|
2423
|
3.26
|
2.24
|
4.75
|
< 0.001
|
|
7
|
3563
|
7.88
|
5.44
|
11.40
|
< 0.001
|
|
8
|
3969
|
12.97
|
8.96
|
18.77
|
< 0.001
|
|
9
|
3385
|
15.97
|
11.01
|
23.17
|
< 0.001
|
|
10
|
247
|
10.35
|
6.35
|
16.89
|
< 0.001
|
|
Geographical region & SEIFA tertilea
|
Metropolitan & Tertile 1
|
905
|
1.00
| | | |
|
Metropolitan & Tertile 2
|
2597
|
1.82
|
1.50
|
2.22
|
< 0.001
|
|
Metropolitan & Tertile 3
|
4133
|
2.30
|
1.91
|
2.78
|
< 0.001
|
|
Non-metropolitan & Tertile 1
|
4225
|
1.07
|
0.89
|
1.29
|
0.483
|
|
Non-metropolitan & Tertile 2
|
3277
|
1.15
|
0.95
|
1.41
|
0.157
|
|
Non-metropolitan & Tertile 3
|
622
|
0.98
|
0.75
|
1.29
|
0.912
|
- aBecause of a statistically significant interaction between geographical region and SEIFA tertile, these two variables were restructured as a single composite variable
