Table 4a.

Multivariate linear model predicting mealtimes during workdays.

	First eating event workdays				Lunch workdays				Last eating event workdays
	R2 = 0.099				R2 = 0.052				R2 = 0.088
	β	Std.err	p-value	C.I.	β	Std.err	p-value	C.I.	β	Std.err	p-value	C.I.
rMEQ (score)	−0.004	0.001	<0.001	[-0.006, −0.003]	−0.0014	0.0003	<0.001	[-0.002, −0.001]	−0.003	0.001	<0.001	[-0.004, −0.003]
Age	−0.001	0.0002	0.006	[-0.001, −0.0001]	0.0003	0.0001	0.001	[0.0001, 0.0005]	−0.0004	0.0001	0.009	[-0.0006, −0.0001]
Sex (males)	0.016	0.005	0.001	[0.007, 0.025]	−0.008	0.002	0.001	[-0.013, −0.004]	0.013	0.004	<0.001	[0.006, 0.021]
BMI	0.0003	0.001	0.638	[-0.001, 0.002]	−0.0004	0.0003	0.234	[-0.001, 0.0003]	−0.001	0.0005	0.038	[-0.002, −0.00001]
Remote working (vs working in presence)	0.015	0.005	0.005	[0.005, 0.026]	−0.012	0.003	<0.001	[-0.018, −0.006]	−0.004	0.004	0.338	[-0.013, 0.004]
Not working (vs working in presence)	−0.015	0.068	0.829	[-0.148, 0.118]	−0.039	0.036	0.274	[-0.110, 0.031]	−0.016	0.054	0.762	[-0.123, 0.090]

rMEQ: reduced Morningness–Eveningness Questionnaire.

Dependent variables: first eating event, lunch and last eating event during workdays.