Skip to main content
. 2024 Mar 26;24:199. doi: 10.1186/s12905-024-03010-5

Table 2.

Binary and multivariate Logistic Regression analyses

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 - - -

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