Skipping breakfast, overconsumption of soft drinks and screen media: longitudinal analysis of the combined influence on weight development in primary schoolchildren

Table 4 Differences between analyses with datasets containing complete data (CD) and imputed data (ID)

		Skipping breakfast		Soft drinks > 1 time per week		Screen media > 1h/day
		OR	95% CI	OR	95% CI	OR	95% CI
Abdominal obesity	CD	2.06	(1.23; 3.47)**	1.46	(0.92; 2.32)	2.00	(1.23; 3.23)**
Abdominal obesity	ID	1.87	(1.19; 2.96)**	1.37	(0.92; 2.04)	1.81	(1.19; 2.75)**
Overweight	CD	1.71	(1.04; 2.80)*	1.29	(0.84; 1.96)	2.01	(1.33; 3.03)***
Overweight	ID	1.60	(1.02; 2.50)*	1.38	(0.94; 2.01)	1.76	(1.18; 2.61)**
Obesity	CD	0.90	(0.39; 2.07)	1.57	(0.82; 3.03)	1.87	(0.96; 3.67)
	ID	1.02	(0.50; 2.07)	1.56	(0.87; 2.80)	1.65	(0.90; 3.01)
		B (SE)	p-value	B (SE)	p-value	B (SE)	p-value
Changes in WHtR^a,b,c	CD	0.50 (0.19)	0.007**	-0.01 (0.15)	0.966	0.29 (0.16)	0.074
Changes in WHtR^a,b,c	ID	0.51 (0.17)	0.003**	-0.07 (0.13)	0.600	0.17 (0.15)	0.240
Changes in weight [kg]^b,d	CD	0.39 (0.12)	0.001***	-0.08 (0.09)	0.385	0.19 (0.10)	0.054
Changes in weight [kg]^b,d	ID	0.51 (0.17)	0.003**	-0.07 (0.13)	0.600	0.17 (0.15)	0.240
Changes in BMI percentiles^b,e	CD	2.01 (0.90)	0.027*	-0.75 (0.70)	0.282	0.70 (0.78)	0.373
Changes in BMI percentiles^b,e	ID	2.58 (0.83)	0.002**	-1.12 (0.64)	0.083	0.21 (0.72)	0.780

OR odds ratio, CI confidence interval, B (SE) B regression coefficient (standard error), ^a multiplied by 10² for better interpretability, badjusted for school, migration background, family education level, household income, age, gender, participation in the intervention, and ^cbaseline WHtR, ^dbaseline weight, ^ebaseline BMI percentiles
*** p< 0.001, ** p< 0.01, * p< 0.05

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