Table 5.

Models of Indoor-related variables, predicting Light Physical Activity (LPA) and MET-weighted Moderate to Vigorous Physical Activity (MW-MVPA)

	Model Predicting LPA		Model Predicting MW-MVPA
	β-estimate (minutes of light PA)	p- value	β- estimatev.	Average magnitude of associationvi.	p- value
Interceptiv.	518.64	0.00	164.31		0.00
Building sq feet	0.11	0.07†	0.00	0.15	0.06†
Yards between buildings	−0.02	0.62	0.00	0.09	0.12
% on free or reduced lunch program	0.26	0.56	0.00	−0.06	0.12
# students per school	0.00	0.92	0.00	0.01	0.99
Hispanic ethnicity of students	−2.97	0.75	−0.06	−9.74	0.32
African American	17.38	0.09†	0.19	30.60	0.02*
Non-Hispanic Other	−2.94	0.76	0.00	−0.11	0.99
Non-Hispanic White	0.00	(REF)	0.00	0.00	(REF)
Maximum temperature °F	−0.32	0.44	0.01	0.91	0.04*
Precipitation (hundredths of inches)	0.00	1.00	0.00	−0.32	0.18

^*p < .05;

^†p<.10.

^iv.Since all continuous covariates are centered around their means, the intercept in the value of the dependent variable for white students when all the covariates are at their means.

^v.Because the residuals in the MW-MVPA were not normally distributed, we chose to use a log-transformation of this dependent variable, making our estimates a percent change in MW-MVPA per unit change in the covariate.

^vi.In order to express this in terms of MW-MVPA minutes, we multiplied this estimate by the intercept or the number of MW-MVPA minutes clocked by a girl with average values on all of the other covariates.