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