Table 2: Univariate analysis of factors associated with the discontinuity of female genital mutilation in Guinea according to DHS 2018.
|
Variables |
N |
OR(gross) |
IC (95%) |
P-value |
|
Age |
|
|
|
|
|
15-19 |
2236 |
0.50 |
[0.41-0.60] |
0.000 |
|
20-24 |
1547 |
0.61 |
[0.50-0.74] |
0.000 |
|
25-29 |
1742 |
0.64 |
[0.52-0.77] |
0.000 |
|
30-34 |
1345 |
0.75 |
[0.61-0.92] |
0.007 |
|
35-39 |
1212 |
0.90 |
[0.73-1.11] |
0.356 |
|
40-44 |
901 |
0.97 |
[0.77-1.21] |
0.794 |
|
45-49 |
875 |
1 |
|
|
|
Region |
|
|
|
|
|
Boké |
1397 |
1 |
|
|
|
Conakry |
1284 |
0.26 |
[0.21-0.32] |
0.000 |
|
Faranah |
1163 |
0.13 |
[0.11-0.16] |
0.000 |
|
Kankan |
1095 |
0.32 |
[0.26-0.40] |
0.000 |
|
Kindia |
1342 |
0.66 |
[0.53-0.82] |
0.000 |
|
Lab |
1062 |
0.51 |
[0.41-0.64] |
0.000 |
|
Mamou |
1131 |
0.68 |
[0.54-0.85] |
0.001 |
|
Nzérékoré |
1384 |
0.15 |
[0.12-0.18] |
0.000 |
|
Residence |
|
|
|
|
|
Urban |
3624 |
0.60 |
[0.55-0.65] |
0.000 |
|
Rural |
6234 |
1 |
|
|
|
Education |
|
|
|
|
|
Not in school |
6840 |
1 |
|
|
|
Primary |
1139 |
0.75 |
[0.65-0.86] |
0.000 |
|
Secondary |
1551 |
0.40 |
[0.35-0.45] |
0.000 |
|
Upper |
328 |
0.17 |
[0.14-0.22] |
0.000 |
|
Religion |
|
|
|
|
|
No religion |
87 |
1 |
|
|
|
Muslim |
8759 |
2.04 |
[1.32-3.15] |
0.001 |
|
Christian |
1001 |
0.39 |
[0.25-0.62] |
0.000 |
|
Animist |
11 |
6.41 |
[0.78-52.40] |
0.083 |
|
Ethnic group |
|
|
|
|
|
Foreign |
38 |
1 |
|
|
|
Susu |
1990 |
2.60 |
[1.33-5.08] |
0.005 |
|
Fulani |
3952 |
2.41 |
[1.24-4.69] |
0.009 |
|
Malinke |
2682 |
1.18 |
[0.60-2.29] |
0.624 |
|
Kissi |
529 |
0.22 |
[0.11-0.44] |
0.000 |
|
Toma |
136 |
0.37 |
[0.17-0 .78] |
0.009 |
|
Guerzé |
531 |
0.68 |
[0.34-1.34] |
0.269 |
|
Wealth quintile |
|
|
|
|
|
Very poor |
1976 |
|
|
|
|
Poor |
1886 |
0.91 |
[0.79-1.06] |
0.265 |
|
Average income |
1826 |
0.86 |
[0.74-1.00] |
0.051 |
|
Rich |
2105 |
0.76 |
[0.66-0.88] |
0.000 |
|
Very rich |
2065 |
0.53 |
[0.46-0.61] |
0.000 |
|
FGM status |
|
|
|
|
|
Not |
382 |
1 |
|
|
|
Yes |
9476 |
13.64 |
[10.44-17.83] |
0.000 |