Table 2 Results of linear and quantile regression of multiply imputed data (n = 173)

 Model 1^c

0.27* [0.03; 0.52]

0.35* [0.07; 0.63]

0.32* [0.02; 0.62]

0.26 [−0.09; 0.62]

 Model 2^d

0.30* [0.05; 0.56]

0.34** [0.09; 0.59]

0.37* [0.07; 0.66]

0.32* [0.01; 0.63]

 Model 1^c

− 0.35 [−0.70; 0.00]

−0.15 [−0.67; 0.18]

−0.43* [−0.79; − 0.07]

−0.71* [− 1.27; − 0.14]

 Model 2^d

− 0.26 [−0.65; 0.13]

−0.26 [−0.66; 0.13]

−0.28 [−0.81; 0.24]

−0.55 [−1.10; 0.01]

 Model 1^c

− 0.07 [−0.57; 0.42]

− 0.18 [−0.71; 0.35]

−0.21 [−0.95; 0.53]

0.06 [−0.72; 0.83]

 Model 2^d

− 0.17 [−0.68; 0.34]

−0.36 [−0.84; 0.13]

−0.33 [−1.17; 0.50]

−0.04 [−0.77; 0.70]

 Model 1^c

− 0.08 [−0.38; 0.21]

0.07 [−0.33; 0.48]

−0.09 [−0.44; 0.26]

−0.26 [−0.72; 0.19]

 Model 2^d

− 0.06 [−0.37; 0.24]

0.08 [−0.23; 0.38]

−0.07 [−0.46; 0.31]

−0.20 [−0.64; 0.24]