Table 3 Results from the linear regression models to predict daily self-report variables using the physical activity features.
SWLS | STAI | PSQI | PA | NA | |
|---|---|---|---|---|---|
Std \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | |
Intercept | − 0.61* | 0.20 | 0.38 | 0.47 | 0.60* |
Age [< 40 years] | 0.42 | − 0.23 | − 0.40 | 0.24 | − 0.26 |
Gender [female] | 0.35 | − 0.08 | 0.25 | − 0.44 | − 0.49* |
Shift [day shift] | 0.41 | − 0.13 | − 0.69** | -0.24 | − 0.23 |
Rest-activity ratio (off-day) | − 0.16 | 0.37 | 0.05 | − 0.66** | 0.07 |
Shift [day shift] × rest-activity ratio (off-day) | 0.51 | − 0.22 | 0.04 | 0.57* | − 0.09 |
Number of observations | 94 | 95 | 94 | 95 | 95 |
Adjust \(R^2\) | 0.131** | 0.036 | 0.160** | 0.112** | 0.024 |
SWLS | STAI | PSQI | PA | NA | |
|---|---|---|---|---|---|
Std \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | Std. \(\beta\) | |
Intercept | − 0.51* | 0.32 | 0.42 | 0.18 | 0.58* |
Age [< 40 years] | 0.32 | − 0.35 | − 0.44* | 0.43* | − 0.25 |
Gender [female] | 0.27 | − 0.19 | 0.22 | − 0.25 | − 0.47 |
Shift [day shift] | 0.41 | − 0.14 | − 0.70** | − 0.23 | − 0.23 |
Walk-activity ratio (off-day) | 0.26 | − 0.43* | − 0.05 | 0.44* | − 0.11 |
Shift [day shift] × walk-activity ratio (off-day) | − 0.62** | 0.41 | 0.02 | − 0.13 | 0.22 |
Number of observations | 94 | 95 | 94 | 95 | 95 |
Adjust \(R^2\) | 0.142** | 0.051 | 0.155** | 0.152** | 0.034 |
