Table 3: Multivariate analysis of factors associated with the discontinuity of female genital mutilation in Guinea according to DHS 2018.
|
Variables |
Odd ratio |
Interval |
P value |
|
Age |
|
|
|
|
15-19 |
0.78 |
[0.63 0.96] |
0.022 |
|
20-24 |
0.92 |
[0.73 1.15] |
0.471 |
|
25-29 |
0.87 |
[0.70 1.08] |
0.233 |
|
30-34 |
0.89 |
[0.71 1.11] |
0.324 |
|
35-39 |
0.97 |
[0.77 1.23] |
0.841 |
|
40-44 |
0.97 |
[0.76 1.25] |
0.857 |
|
45-49 |
1 |
|
|
|
Ethnic group |
|
|
|
|
Susu |
1.33 |
[0.61 2.92] |
0.469 |
|
Fulani |
1.24 |
[0.57 2.73] |
0.579 |
|
Malinke |
1.07 |
[0.49 2.36] |
0.851 |
|
Kissi** |
0.23 |
[0.10 0.52] |
0.000 |
|
Toma |
0.45 |
[0.18 1.08] |
0.075 |
|
Guerzé |
0.88 |
[0.39 1.98] |
0.758 |
|
Foreign |
1 |
|
|
|
Region |
|
|
|
|
Boké |
1 |
|
|
|
Conakry |
0.58 |
[0.46 0.73] |
0.000 |
|
Faranah |
0.13 |
[0.10 0.16] |
0.000 |
|
Kankan |
0.37 |
[0.28 0.47] |
0.000 |
|
Kindia |
0.70 |
[0.55 0.88] |
0.003 |
|
Lab |
0.39 |
[0.31 0.51] |
0.000 |
|
Mamou |
0.59 |
[0.45 0.76] |
0.000 |
|
N'Zérékoré |
0.26 |
[0.20 0.34] |
0.000 |
|
Education |
|
|
|
|
No Education |
1 |
|
|
|
Primary |
0.81 |
[0.69 0.95] |
0.012 |
|
secondary |
0.40 |
[0.35 0.47] |
0.000 |
|
Upper |
0.17 |
[0.13 0.22] |
0.000 |
|
Wealth quintile |
|
|
|
|
Very poor |
1 |
|
|
|
Poor |
0.89 |
[0.75 1.06] |
0.217 |
|
Medium |
0.80 |
[0.68 0.95] |
0.013 |
|
Rich |
0.67 |
[0.56 0.79] |
0.000 |
|
Very rich |
0.48 |
[0.39 0.58] |
0.000 |
|
FGM status |
|
|
|
|
Yes |
1 |
|
|
|
Not** |
0.11 |
[0.08 0.14] |
0.000 |
NB: **P < 0.001; *P < 0.01