Table 5 Results from the linear regression models to predict pre-study self-report variables using the physical activity features.
SWLS | STAI | PSQI | PA | NA | |
|---|---|---|---|---|---|
Std \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | |
Intercept | − 0.69** | 0.31 | 0.41 | 0.20 | 0.58* |
Age [< 40 years] | 0.20 | − 0.35 | − 0.48* | 0.44* | − 0.35 |
Gender [female] | 0.41 | − 0.02 | 0.19 | − 0.36 | − 0.37 |
Shift [day shift] | 0.50* | − 0.23 | − 0.60** | − 0.18 | − 0.25 |
Sleep duration (off-day) | − 0.26 | 0.26 | 0.15 | − 0.14 | 0.07 |
Shift [day shift] × sleep duration (off-day) | 0.34 | − 0.34 | − 0.25 | 0.04 | − 0.32 |
Number of observations | 94 | 94 | 93 | 94 | 94 |
Adjust \(R^2\) | 0.094* | 0.035 | 0.140** | 0.073* | 0.051* |
SWLS | STAI | PSQI | PA | NA | |
|---|---|---|---|---|---|
Std \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | |
Intercept | − 0.65* | 0.28 | 0.68** | 0.07 | 0.61* |
Age [< 40 years] | 0.22 | − 0.38 | − 0.46* | 0.50* | − 0.28 |
Gender [female] | 0.39 | − 0.02 | 0.19 | − 0.40 | − 0.41 |
Shift [day shift] | 0.47* | − 0.22 | − 0.90** | − 0.06 | − 0.33 |
Sleep efficiency (off-day) | 0.08 | − 0.04 | − 1.45** | 0.79 | − 0.17 |
Shift [day shift] × sleep efficiency (off-day) | − 0.09 | − 0.12 | 1.41** | − 0.79 | 0.09 |
Number of observations | 94 | 94 | 93 | 94 | 94 |
Adjust \(R^2\) | 0.053 | 0.020 | 0.202** | 0.081* | 0.028 |
