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