Table 5.
Logistic regression analysis with SOL misperception as a dependent variable
Variables | Univariable |
Multivariable |
||
---|---|---|---|---|
OR (95% CI) | p | OR (95% CI) | p | |
Age | 0.99 (0.96–1.03) | 0.623 | ||
Female | 1.35 (0.62–2.93) | 0.452 | ||
Education | 0.91 (0.75–1.09) | 0.308 | ||
BMI (kg/m2) | 0.9 (0.76–1.04) | 0.164 | ||
ISI | 1.12 (1.02–1.24) | 0.027* | 1.04 (0.92–1.19) | 0.528 |
PSQI | 1.28 (0.99–1.7) | 0.07 | 0.98 (0.68–1.37) | 0.902 |
KESS | 1.07 (0.98–1.18) | 0.135 | ||
CES-D | 1.05 (1–1.1) | 0.045* | 0.94 (0.86–1.02) | 0.121 |
BAI | 1.11 (1.04–1.19) | 0.002** | 1.16 (1.05–1.31) | 0.006** |
GARS | 1.02 (0.99–1.05) | 0.307 | ||
SAS | 1.05 (0.98–1.13) | 0.142 |
Multivariable logistic regression model using stepwise backward selection.
p<0.05;
p<0.01.
OR, odds ratio; CI, confidence interval; TST, total sleep time; ISI, insomnia severity index; PSQI, pittsburgh sleep quality index; ESS, Epworth Sleepiness Scale; CES-D, Center for Epidemiologic Studies Depression Scale; BAI, beck anxiety inventory; GARS, Global Assessment of Recent Stress Scale; SAPS, Smartphone Addiction Proneness Scale