Table 3 Parameter estimates of the parallel longitudinal model of daytime average activity (DAA) and association with next morning sleepiness (KSS) trends, adjusted for age and platform location (N = 36)
Estimate (SE) | p-value | |
|---|---|---|
Fixed effects | ||
DAA | ||
Intercept | 16.9 (4.7) | 0.00 |
Slope | −0.18 (0.17) | 0.32 |
KSS | ||
Intercept | 3.66 (0.22) | 0.00 |
Slope | 0.01 (0.01) | 0.14 |
DAA | 0.001 (0.001) | 0.15 |
NAA | −0.002 (0.003) | 0.43 |
Random effects | ||
DAA | ||
Intercept DAA variance | 598.9 (134.1) | |
Slope DAA variance | 0.27 (0.26) | |
Intercept–slope DAA covariance | −0.38 (5.2) | 0.94 |
KSS | ||
Intercept KSS variance | 1.51 (0.43) | |
Slope KSS variance | 0.001 (0.000) | |
Intercept–slope KSS covariance | −0.01 (0.01) | 0.31 |
DAA-KSS | ||
Covariance intercept DAA–slope KSS | −0.10 (0.18) | 0.56 |
Covariance intercept KSS–slope DAA | 0.40 (0.23) | 0.08 |
Covariance intercept DAA–intercept KSS | 0.11 (7.2) | 0.99 |
Covariance slope DAA–slope KSS | −0.001 (0.007) | 0.89 |
Residual KSS variance | 1.1 (0.15) | |
Residual DAA variance | 932.3 (125.6) | |