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Table 17 Logistic regression analysis for risk factors of vaginal prolapse

From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse

Factors

\(\beta ^{a}\)  

Wald

OR(95% CI)\(^{b}\)  

P Value

Intercept

0.09

0.07

1.09(0.58,2.04)

0.79

During pregnancy incontinence

0.34

20.8

1.40(1.21,1.62)

5.10e-06

Stress incontinence

1.24

39.45

3.46(2.38,5.18)

3.36e-10

Vaginal laxity

0.28

36.32

1.32(1.21,1.45)

1.68e-09

Cevix

0.23

62.77

1.25(1.19,1.33)

2.33e-15

Genital hiatus

0.37

111.03

1.45(1.35,1.55)

<2e-16

Perineal body

0.17

23.14

1.18(1.11,1.27)

1.50e-06

Posteri

1.90

621.55

6.72(5.79,7.81)

<2e-16

Fast muscle recovery

0.27

939.62

1.30(1.28,1.33)

<2e-16

Delivery mode

0.35

328.33

1.42(1.37,1.47)

<2e-16

  1. a \(\beta\) = Coefficient
  2. b OR(95% CI) = Odds Ratio with 95% Confidence Interval