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Table 3 Multivariable regression to assess impact of OAB symptoms on QOL

From: Impact of overactive bladder on quality of life and resource use: results from Korean Burden of Incontinence Study (KOBIS)

Variables included in model

Coefficient

95 % CI

p-value

Multivariable model for IQOL total score (Adjusted R2 = 0.394)

  UI category

−5.09

−6.62, −3.55

<0.0001

  Urinary frequency

−5.08

−8.36, −1.79

0.0025

  Urinary urgency

−4.29

−5.54, −3.03

<0.0001

  Nocturia

−5.00

−6.31, −3.69

<0.0001

  Receiving treatment for OAB

−5.99

−9.23, −2.74

<0.0001

  Age

0.29

0.15, 0.41

<0.0001

  Gender

−8.60

−11.85, −5.35

<0.0001

Multivariable model for OAB−q – Symptom severity score (Adjusted R2 = 0.543)

  UI category

7.08

5.77, 8.39

<0.0001

  Urinary frequency

6.38

3.56, 9.20

0.0029

  Urinary urgency

5.58

4.51, 6.66

<0.0001

  Nocturia

6.00

4.88, 7.12

<0.0001

  Age

−0.15

−0.26, −0.04

0.007

  Gender

−0.16

−2.94, 2.62

0.912

Multivariable model for EQ−5D utility (Adjusted R2 = 0.121)

  UI category

−0.01

−0.03, 0.005

0.174

  Urinary frequency

−0.03

−0.06, 0.005

0.098

  Urinary urgency

−0.02

−0.03, −0.008

0.001

  Nocturia

−0.02

−0.04, −0.01

0.001

  Age

−0.0005

−0.002, 0.001

0.457

  Gender

−0.08

−0.11, −0.05

<0.0001

  1. All variables included in the multivariable models for each of the QOL measures are shown above. Income and education did not show statistical significance and were not included in the models. OAB treatment status was only statistically significant for I−QOL