Table 5.

Mixed model for repeated measures analysis of ApoB, ApoA1 and ApoB/ApoA1 in 670 girls during ages 14 to 19.

Dependent Variable	Significant explanatory variable	Parameter estimate, 95% CI	p
ApoB	intercept	50.56 [46.43, 54.70]	<.0001
	BMI (kg/m2)	0.40 [0.24, 0.57]	<.0001
	TG (mg/dL)	0.13 [0.11, 0.15]	<.0001
ApoA1	intercept	143.86 [135.82, 151.90]	<.0001
	Black race	5.66 [3.32, 8.00]	<.0001
	Met S category (0, 1,2)	−9.03 [−12.81, −5.24]	<.0001
	Waist circumference (cm)	−0.29 [−0.39, −0.19]	<.0001
	TG (mg/dL)	0.037 [0.013, 0.061]	.003
	% calorie from protein	0.40 [0.10, 0.70]	.008
ApoB/ApoA1	intercept	0.35 [ 0.32, 0.39]	<.0001
	Black race	−0.043 [ −0.063, −0.023]	<.0001
	BMI (kg/m2)	0.0057 [0.0041, 0.0072]	<.0001
	TG (mg/dL)	0.00080 [0.00063, 0.00098]	<.0001
	Pediatric Met S (Yes as 1, no as 0)	0.097 [0.049, 0.148]	<.0001
	menstrual cycles ≥42 days (Yes as 1, no as 0)	0.041 [0.013, 0.015]	.002

Stepwise regression was used to select significant explanatory variables from race, age, BMI, waist circumference, TG, annual report of menstrual cycles ≥42 days, total calorie intake, % calorie from protein, from fat, physical activity during school day, physical activity during a summer day (all at the same years), pediatric Met S, Met S category (neither pediatric MetS nor adult MetS as 0, either one as 1, both as 2), and total number of annual reports of menses delay (1–6). Multiple (n = 10) imputations for 1269 observations which had ApoB. Then for each imputation, mixed model for repeated measures analysis was constructed including only significant explanatory variables as fixed effect, and subjects as random effect, with AR(1) variance structure within subjects. Finally, Procedure MIanalyze combined all 10 models from 10 imputations and estimated parameters.