Table 5: Logistic regression model of factors associated with daytime sleepiness in all survey participants, stratified according to gender.

 

 

 

All

 

 

Male

 

 

Female

 

n = 501

n =105

n = 396

 

OR

95% CI

p

OR

95% CI

p

OR

95% CI

p

Night shift

2.13

0.96-4.75

0.063

0.94

0.10-9.06

0.960

2.64

1.08-6.46

0.033

Sleep debt (hours)

1.25

0.99-1.57

0.052

1.17

0.58-2.35

0.656

1.27

0.99-1.62

0.052

Age (years)

1.01

0.97-1.04

0.542

1.05

0.97-1.15

0.182

1.00

0.96-1.04

0.916

Active Smoking

1.88

0.87-4.08

0.106

2.87

0.52-16.05

0.228

1.69

0.70-4.08

0.243

BMI (kg/m2)

1.09

0.88-1.21

0.685

0.68

0.49-1.30

0.356

1.09

0.91-1.31

0.308

Abdominal circumference (cm)

0. 97

0.92-1.03

0.432

0.80

0.49-1.32

0.395

0.95

0.89-1.02

0.176

 Berlin high risk sleep apnea

1.56

0.87-4.08

0.106

1.44

0.18-11.58

0.730

1.36

0.39-4.63

0.622

 

Abbreviations: BMI: body mass index