Ethnic differences in BMI among Dutch adolescents: what is the role of screen-viewing, active commuting to school, and consumption of soft drinks and high-caloric snacks?

Table 6 Results of testing the mediational model: energy balance-related behaviours (EBRBs) as mediators of the relationship between ethnicity and BMI (criteria 3 and 4)

	unstandardized regression coefficient (95% CI)	% mediation	SE*	Sobel z-value	P value (Sobel)
boys
BMI: ethnicity and EBRBs (criteria 3 and 4) ^†
television viewing	1.45 (.69 – 2.21)	5.8	.39	2.73	.006
active transport to school	1.49 (.75 – 2.23)	3.3	.38	2.81	.005
fruit juices consumption	1.29 (.43 – 2.16)	16.2	.44	2.35	.02
savoury snacks consumption	NA	NA	NA	NA	NA
BMI: ethnicity and all EBRBs‡	1. 16 (.28 – 2.05)	24.7	.45	2.15	.03
girls
BMI: ethnicity and EBRBs (criteria 3 and 4) ^†
Television viewing	1.55 (.68 – 2.42)	16.7	.44	2.66	.008
active transport to school	1.75 (.87 – 2.62)	5.9	.44	2.86	.004
fruit juices consumption	2.22 (1.23 – 3.21)	S	.50	3.02	.003
savoury snacks consumption	1.75 (.89 – 2.61)	5.9	.44	2.86	.004
BMI: ethnicity and all EBRBs‡	1.39 (.42 – 2.37)	25.3	.50	2.28	.02

*SE = standard error
†regression model with BMI as the criterion variable and EBRBs and ethnicity as predictor variables
‡regression model with BMI as the criterion variable and television viewing, active transport to school, fruit juices, and savoury snacks (girls only)
NA = not applicable
S = suppression effect

ISSN: 1479-5868