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Table 2 Binary and multivariate Logistic Regression analyses

From: Exploring risk factors of pelvic organ prolapse at eastern of Democratic Republic of Congo: a case-control study

Variables

Binary logistic regressIon

MultivariAt Logistic regression

OR

95% CIfor EXP(B)

p

aOR

95% CI

p

Low BMI

2.864

1.671–4.909

< 0.000

2.991

1.419–6.307

0.004

Home birth

6.997

4.482–10.922

< 0.001

6.102

3.526–10.561

< 0.001

Family history of POP

2.15

1.367–3.380

0.001

2.085

1.107–3.924

0.023

Previous birth without episiotomy

5.015

3.239–7.765

< 0.001

3.504

2.031–6.048

< 0.001

Pre-menopausal

1.181

0.81–1.723

0.387

-

-

-

Height ≤ 1.50 m

4.954

3.083–7.961

< 0.001

5.328

2.942–9.648

< 0.001

History of perineal tear

3.546

1.838–6.843

< 0.001

-

-

-

History of macrosomia (≥ 4000 g)

1.583

1.077–2.327

0.019

1.929

1.121–3.321

0.018

History of OVD

1.452

0.676–3.118

0.339

-

-

-

History of Kristellar maneuver

1.847

1.262–2.703

0.002

-

-

-

No medcial history*

1.181

0.792–1.762

0.415

-

-

-

18–30 years old

1.096

0.612–1.961

0.758

-

-

-

31–49 years old

0.665

0.442–1.001

0.051

-

-

-

Multiparity

1.019

0.488–2.126

0.96

-

-

-

Grand multiparity

1.23

0.639–2.366

0.536

-

-

-

  1. *No medical history of chronic constipation, chronic lung disease or diabetes, OR : odds ratio, aOR : Adjusted odds ratio