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Table 2 Bivariate and Multivariable Linear Regression Models of Insomnia (ISI) Scores

From: Prevalence of and characteristics associated with insomnia and obstructive sleep apnea among veterans with knee and hip osteoarthritis

Bivariate and Multivariable Linear Regression Models of Insomnia (ISI) Scores

 

Bivariate Model

Multivariable Model

Estimate (SE)

95% CI

p

Estimate (SE)

95% CI

p

Age

−0.29 (0.05)

− 0.38, − 0.19

<.001

−0.09 (0.04)

− 0.16, − 0.02

.01

Gender

 Male

1.34 (1.59)

−1.78, 4.46

.40

−0.20 (1.07)

−2.30, 1.89

.85

Race

 Non-Hispanic White

−3.07 (0.91)

−4.86, −1.28

.001

−0.19 (0.65)

−1.47, 1.08

.76

Self-Rated Health

 Excellent, Very Good, or Good

−5.82 (0.89)

−7.58, −4.07

<.001

−0.82 (0.73)

−2.26, 0.62

.26

BMI

0.11 (0.08)

−0.04, 0.27

.15

−0.06 (0.06)

−0.17, 0.06

.34

PTSD Diagnosis

5.65 (0.98)

3.73, 7.57

<.001

1.68 (0.73)

0.25, 3.11

.02

WOMAC Pain

1.05 (0.10)

0.85, 1.25

<.001

0.36 (0.10)

0.17, 0.55

<.001

Depressive Symptoms

 PHQ-8

1.10 (0.06)

0.99, 1.22

.001

0.84 (0.07)

0.70, 0.98

<.001

# Joints with Arthritis

0.49 (0.12)

0.25, 0.74

< 0.001

0.07 (0.09)

−0.11, 0.25

.44

Opioid Use

3.38 (0.99)

1.42, 5.33

< 0.001

0.18 (0.71)

−1.23, 1.58

0.81

  1. All bivariate models had 2 missing observations. Otherwise, the unadjusted model with the model with WOMAC Pain has 1 additional missing observation and the model with PHQ-8 and the model with opioid use have 4 additional missing observations. The multivariable model has 11 missing observations. Negative scores associated with less insomnia symptoms. Higher WOMAC scores indicate greater pain. Self-rated health was recoded into a binary variable: excellent, very good, and good health vs. fair/poor health