Table 3. Regression Coefficients of the Sample Main Effect (Lockdown vs Control) in Models With Different Dependent Variablesa.
Dependent variable | Participants, No. | β (SE) | Corrected P valueb | Uncorrected P valueb | R2β* (95% CI)c |
---|---|---|---|---|---|
Sleep characteristics | |||||
Scheduled days | |||||
Bedtime | 7268 | 0.32 (0.04) | <.001 | <.001 | 0.023 (0.017-0.030) |
Wake time | 7214 | 1.52 (0.09) | <.001 | <.001 | 0.455 (0.440-0.470) |
Sleep duration | 7214 | 1.24 (0.08) | <.001 | <.001 | 0.238 (0.222-0.254) |
Free days | |||||
Bedtime | 7266 | −0.14 (0.07) | >.99 | .11 | 0.002 (0.001-0.005) |
Wake time | 7245 | 0.05 (0.05) | >.99 | .31 | 0.000 (0.000-0.002) |
Sleep duration | 7244 | 0.17 (0.05) | .07 | .005 | 0.004 (0.001-0.007) |
Sleep deficitd | 7193 | −1.07 (0.07) | <.001 | <.001 | 0.122 (0.108-0.136) |
Alarm clock usee | 7276 | −0.69 (0.18) | .001 | <.001 | 0.009 (0.006-0.014) |
Difficulties falling asleepf | 7276 | 0.16 (0.03) | <.001 | <.001 | 0.005 (0.002-0.009) |
Problems sleeping through the nightf | 7276 | 0.15 (0.02) | <.001 | <.001 | 0.006 (0.003-0.011) |
Health-related characteristics | |||||
HRQoL | 7243 | 1.47 (0.22) | <.001 | <.001 | 0.007 (0.004-0.012) |
Smokingg | 294 | −1.39 (0.63) | .41 | .03 | 0.018 (0.001-0.059) |
Alcohol consumptionh | 4562 | −0.52 (0.07) | <.001 | <.001 | 0.014 (0.008-0.022) |
Caffeine consumptioni | 7276 | −0.62 (0.08) | <.001 | <.001 | 0.010 (0.006-0.015) |
Digital media consumptionf,j | 7247 | 0.38 (0.01) | <.001 | <.001 | 0.103 (0.091-0.117) |
Abbreviation: HRQoL, health-related quality of life.
In all models, age, primary language, and physical illness were also included as fixed effects and school was included as a random effect. The control sample included students who completed surveys from May to July 2017, and the lockdown sample included students who completed surveys from May to June 2020 during high school closure owing to the first COVID-19 wave in Switzerland.
P values were corrected for multiple comparisons using the Bonferroni method. Uncorrected P values were multiplied by 15.
Semipartial R2 statistic.32
Calculated as free days minus scheduled days.
Logistic regression model (alarm clock use: yes vs no) using the lme4 package in R.31
Square-root transformed.
Only students older than 16 years who smoked were included. Smoking was measured as number of cigarettes per day.
Only students older than 16 years were included. Measured using a custom scale (eTable 1 in the Supplement) with scores ranging from 1 to 15; higher scores indicate greater alcohol consumption.
Measured using a custom scale (eTable 1 in the Supplement) with scores ranging from 1 to 20; higher scores indicate greater caffeine consumption.
Measured as hours per day.