Table 1.

Results of random intercepts models with imputed data.

	Model 1			Model 2			Model 3			Model 4
	Est	SE	p-value	Est	SE	p-value	Est	SE	p-value	Est	SE	p-value
Intercept	0.551	0.031	<0.001	0.551	0.032	<0.001	0.547	0.028	<0.001	0.551	0.032	<0.001
P0: Total	0.000	0.001	0.733
P1: Nutrition				0.004	0.003	0.149	−0.005	0.005	0.284	0.004	0.003	0.150
P2: PA				−0.005	0.003	0.066	0.003	0.007	0.634	−0.005	0.003	0.063
P3: Combined				0.007	0.006	0.267	0.006	0.007	0.408	0.007	0.006	0.269
P4: Other				−0.003	0.004	0.461	0.013	0.033	0.689	−0.003	0.004	0.479

Note. Model 1 estimated the effect of the total number of laws p0 on BMI z-score; Model 2 estimated the effects of p1, p2, p3, and p4 on BMI z-score; Model 3 estimated the effects of p1, p2, p3, and p4 on BMI z-score, however, only legislation that specifically targeted youth were included; Model 4 estimated the effects of p1, p2, p3, and p4 on BMI z-score, however, only legislation that was implemented before 2015 was included.

Note. Estimates and corresponding standard errors and p-values of multilevel regression models with imputed data (m = 20): random intercepts.