Table 2.

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

	OLS		QR25		QR50		QR75
CMRSa	b [95% CI]	p b	b [95% CI]	p b	b [95% CI]	p b	b [95% CI]	p b
Watching TV
Model 1c	0.27* [0.03; 0.52]	0.029	0.35* [0.07; 0.63]	0.015	0.32* [0.02; 0.62]	0.039	0.26 [−0.09; 0.62]	0.143
Model 2d	0.30* [0.05; 0.56]	0.021	0.34** [0.09; 0.59]	0.008	0.37* [0.07; 0.66]	0.015	0.32* [0.01; 0.63]	0.041
Using a computer
Model 1c	− 0.35 [−0.70; 0.00]	0.051	−0.15 [−0.67; 0.18]	0.251	−0.43* [−0.79; − 0.07]	0.019	−0.71* [− 1.27; − 0.14]	0.015
Model 2d	− 0.26 [−0.65; 0.13]	0.188	−0.26 [−0.66; 0.13]	0.191	−0.28 [−0.81; 0.24]	0.277	−0.55 [−1.10; 0.01]	0.052
Reading
Model 1c	− 0.07 [−0.57; 0.42]	0.766	− 0.18 [−0.71; 0.35]	0.502	−0.21 [−0.95; 0.53]	0.573	0.06 [−0.72; 0.83]	0.888
Model 2d	− 0.17 [−0.68; 0.34]	0.515	−0.36 [−0.84; 0.13]	0.145	−0.33 [−1.17; 0.50]	0.429	−0.04 [−0.77; 0.70]	0.922
Socializing
Model 1c	− 0.08 [−0.38; 0.21]	0.578	0.07 [−0.33; 0.48]	0.718	−0.09 [−0.44; 0.26]	0.616	−0.26 [−0.72; 0.19]	0.255
Model 2d	− 0.06 [−0.37; 0.24]	0.687	0.08 [−0.23; 0.38]	0.619	−0.07 [−0.46; 0.31]	0.708	−0.20 [−0.64; 0.24]	0.374

OLS ordinary least squares regression, QR quantile regression, b unstandardized regression coefficient, CI confidence interval, TV television

^a Presented are multiply imputed data using chained equations (m = 20 imputed datasets) to account for missing values

^b Based on robust standard errors, **p < 0.01, *p < 0.05

^c Model 1: Adjusted for socio-demographic (sex, age, partnership, and employment) and other leisure-time sedentary behavior variables

^d Model 2: Adjusted for socio-demographic (sex, age, partnership, and employment), leisure-time physical activity, traveling in motor vehicles, and other leisure-time sedentary behavior variables