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Table 3 Logistic regression for factors associated with the practice of FGM among participants

From: Female genital mutilation among Iraqi Kurdish women: a cross-sectional study from Erbil city

Characteristic

FGM status of women

Crude

Adjusted*

Mutilated

Non-mutilated

Odds ratio (95% CI)

P value

Odds ratio (95% CI)

P value

No.

(%)

No.

(%)

Age group (years)

        

15–24

338

(43.7)

435

(56.3)

0.8 (0.6–1.0)

0.510

  

25–34

339

(41.0)

488

(59.0)

0.9 (0.7–1.1)

0.279

  

≥35

146

(37.7)

241

(62.3)

    

Occupation

        

Housewife

1024

(63.8)

582

(36.2)

4.7 (2.7–8.1)

< 0.001

3.3 (1.8–6.1)

< 0.001

Employed

122

(38.7)

193

(61.3)

1.7 (0.9–3.0)

0.081

1.8 (0.9–3.5)

0.075

Student

18

(27.3)

48

(72.7)

    

Place of birth

        

Rural

315

(63.6)

180

(36.4)

1.3 (1.1–1.6)

0.009

1.0 (0.8–1.2)

0.702

Urban

849

(56.9)

643

(43.1)

    

Mother FGM status

        

Mutilated

1067

(70.2)

453

(29.8)

18.5 (13.1–26.2)

< 0.001

15.1 (10.6–21.6)

< 0.001

Don’t know

57

(50.9)

55

(49.1)

8.2 (4.9–13.4)

< 0.001

7.3 (4.4–12.0)

< 0.001

Not mutilated

40

(11.3)

315

(88.7)

    

Mother education

        

Illiterate

1015

(62.8)

602

(37.2)

5.1 (3.3–7.9)

< 0.001

1.5 (0.9–2.6)

0.142

Read and write

45

(50.6)

44

(49.4)

3.1 (1.7–5.6)

< 0.001

1.4 (0.7–2.8)

0.344

Primary school

75

(45.7)

89

(54.3)

2.6 (1.5–4.3)

< 0.001

1.3 (0.7–2.5)

0.389

Intermediate school and higher education

29

(24.8)

88

(75.2)

    

Father education

        

Illiterate

654

(65.3)

348

(34.7)

2.7 (2.1–3.4)

< 0.001

1.4 (1.1–1.9)

0.022

Read and write

96

(65.8)

50

(34.2)

2.7 (1.8–4.1)

< 0.001

1.6 (1.02–2.5)

0.040

Primary school

246

(57.1)

185

(42.9)

1.9 (1.4–2.5)

< 0.001

1.3 (0.9–1.8)

0.110

Intermediate school and higher education

168

(41.2)

240

(58.8)

    
  1. CI confidence interval, FGM female genital mutilation.
  2. * Only those variables that were significant in the univariate logistic model were considered for the multiple logistic regression model.