Table 5.

Longitudinal Data Analysis.

Outcome	Predictors	Estimate	SE	OR	Z	p
60-minute moderate/vigorous physical activity (3DPAR)a
	Intercept	−0.64	0.14	0.53	−4.72	<.0001
	Collection period	0.02	0.01	1.02	2.38	.017
	Student grade
	6	0.07	0.10	1.07	0.69	.49
	7	−0.16	0.10	0.85	−1.59	.11
	8 (reference)	0		1.00
	Gender
	Female	−0.01	0.09	0.99	−0.16	.87
	Male (reference)	0		1.00
	School
	Eastern	0.11	0.09	1.12	1.19	.23
	Western (reference)	0		1.00
5+ Daily fruit/vegetable dietary behaviors (SPAN)b
	Intercept	−0.87	0.23	0.42	−3.76	.0002
	Collection period	0.02	0.02	1.02	0.80	.42
	Student grade
	6	0.48	0.12	1.62	4.11	<.0001
	7	0.42	0.11	1.52	3.74	.0002
	8 (reference)	0		1.00
	Gender
	Female	−0.06	0.11	0.94	−0.57	.57
	Male (reference)	0		1.00
	School
	Eastern	−0.15	0.11	0.86	−1.32	.19
	Western (reference)	0		1.00
Outcome	Predictors	Estimate	SE	df	t	p
BMI percentilec
	Intercept	72.58	1.40	2342	74.46	<.0001
	Screening date
	Year 1	0.00	0.91	2698	−0.01	.99
	Year 2	0.87	0.61	2601	1.45	.15
	Year 3 (reference)	0
	Student grade
	6	−3.32	0.96	2,711	−3.46	.0006
	7	−1.59	0.62	2521	−2.56	.01
	8 (reference)	0
	Gender
	Female	1.69	1.24	1991	1.36	.17
	Male (reference)	0
	School
	Eastern	−2.08	1.38	2194	−1.51	.13
	Western (reference)	0

Note. OR = odds ratio; 3DPAR = 3-Day Physical Activity Recall; SPAN = School Physical Activity and Nutrition; BMI = body mass index; df = degrees of freedom. N = 1,906. BMI percentile was modeled using linear mixed modeling, and meeting physical activity and healthy eating outcomes were modeled using generalized estimating equation models.

^aPA data were collected on the following time points: Baseline: February; Year 1: March, April, May, September; Year 2: October, February, March, April; Year 3: September, November, March, April.

^bSPAN data were collected on the following time points: Year 2: October, February, March, April; Year 3: September, November, March, April.

^cBMI data were collected on the following time points: Year 1: March; Year 2: November; Year 3: September.