Table 3.
Logistic regression analysis with TST misperception as a dependent variable
Variables | Univariable |
Multivariable |
||
---|---|---|---|---|
OR (95% CI) | p | OR (95% CI) | p | |
Age | 1.02 (0.99–1.06) | 0.225 | 1.07 (1.01–1.13) | 0.027* |
Female | 1.17 (0.5–2.72) | 0.716 | ||
Education | 0.76 (0.59–0.95) | 0.023* | 0.69 (0.48–0.91) | 0.017* |
ISI | 1.06 (0.95–1.19) | 0.287 | ||
PSQI | 1.55 (1.13–2.21) | 0.009** | 1.43 (0.92–2.39) | 0.141 |
KESS | 1.14 (1.02–1.28) | 0.02* | 1.13 (0.97–1.34) | 0.128 |
CES-D | 1 (0.95–1.05) | 0.97 | ||
BAI | 1.06 (1–1.14) | 0.084 | ||
GARS | 1.01 (0.98–1.05) | 0.512 | ||
SAPS | 1.11 (1.03–1.20) | 0.01* | 1.14 (1.04–1.27) | 0.008** |
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