Table 3.

Effects (partial eta-squared (${\eta }_p^2$), F and P) of gender, domain (work vs. leisure), and age on time spent sitting, standing and moving, expressed in terms of ilr coordinates

	ilr sit/non-sit			ilr sit < 30/sit ≥ 30			ilr stand/move
	${\eta }_p^2$	F	P	${\eta }_p^2$	F	P	${\eta }_p^2$	F	P
Gender	0.04	4.64	0.03	0.01	1.27	0.26	0.07	7.49	0.01
Domain	0.47	97.50	< 0.01	0.26	38.23	< 0.01	0.12	14.52	< 0.01
Age	< 0.01	0.13	0.72	0.01	0.94	0.34	0.07	8.09	0.01
Gender·Domain	< 0.01	0.06	0.81	0.02	2.69	0.10	< 0.01	< 0.01	0.96
Gender·Age	< 0.01	0.01	0.92	0.01	1.35	0.25	< 0.01	0.16	0.69
Domain·Age	0.03	2.86	0.09	< 0.01	0.41	0.53	0.02	2.32	0.13
Gender·Domain·Age	0.01	1.50	0.22	< 0.01	0.05	0.82	0.01	0.59	0.44

The ANOVA models treated gender and age as between-subjects factors and domain as a within-subject factor