Boosting healthy food choices by meal colour variety: results from two experiments and a just-in-time Ecological Momentary Intervention

Table 5 Results of the multilevel models to compare differences in food consumption between baseline and intervention weeks

Predictor	Random slopes model (fixed effects)					Random intercept model (fixed effects)
Predictor	b	SE	t	df	p	b	SE	t	df	p
Model 1: proportion of vegetables
Intercept	0.287	0.015	19.34	89.81	< .001	0.287	0.016	18.55	150.42	< .001
Time¹	0.037	0.017	2.16	548.83	.031	0.037	0.017	2.20	768.21	.028
Model 2: proportion of fruit
Intercept	0.056	0.008	6.63	154.57	< .001	0.056	0.009	5.97	173.98	< .001
Time¹	0.003	0.012	0.27	152.02	.791	0.003	0.011	0.23	769.56	.821
Model 3: proportion of grains and starches
Intercept	0.339	0.014	24.56	97.60	< .001	0.339	0.015	22.61	141.70	< .001
Time¹	0.005	0.016	0.32	333.90	.747	0.006	0.016	0.35	766.16	.726
Model 4: proportion of sugary extras
Intercept	0.018	0.005	3.56	63.44	< .001	0.018	0.005	3.88	245.96	< .001
Time¹	−0.002	0.007	−0.22	113.23	.830	−0.001	0.006	−0.19	780.05	.849
Model 5: proportion of protein
Intercept	0.109	0.012	9.02	81.67	< .001	0.109	0.012	8.94	133.04	< .001
Time¹	0.001	0.012	0.09	746.70	.927	0.001	0.012	0.10	765.00	.923
Model 6: proportion of dairy
Intercept	0.132	0.011	12.25	79.87	< .001	0.132	0.010	12.83	152.88	< .001
Time¹	−0.037	0.012	−3.16	81.51	.002	−0.037	0.012	−3.17	766.80	.002
Model 7: proportion of fried foods
Intercept	0.058	0.008	7.07	74.34	< .001	0.057	0.008	7.23	160.83	< .001
Time¹	−0.009	0.010	−0.92	75.21	.361	−0.009	0.009	−0.91	766.12	.365

ISSN: 1471-2458