Table 2.

Odds ratios and corresponding 95% confidence intervals for associations between adolescent to adult body mass index trajectory variables and adult chronic conditions.

	Focal predictor	Model 1	Model 2
Hypertension	Average excess BMI	1.56 (1.46, 1.67)	--
	Intercept	--	1.23 (1.05, 1.43)
	Linear slope	--	1.30 (1.08, 1.56)
	Quadratic slope	--	1.12 (1.03, 1.22)
	Correlation between observed and predicted	0.34 (p < 0.01)	0.36 (p < 0.01)
Hyperlipidemia	Average excess BMI	1.36 (1.26, 1.47)	--
	Intercept	--	1.28 (1.08, 1.51)
	Linear slope	--	1.10 (0.92, 1.33)
	Quadratic slope	--	1.11 (1.01, 1.21)
	Correlation between observed and predicted	0.11 (p < 0.01)	0.11 (p < 0.01)
Diabetes	Average excess BMI	1.57 (1.47, 1.67)	--
	Intercept	--	1.31 (1.08, 1.57)
	Linear slope	--	1.31 (1.05, 1.63)
	Quadratic slope	--	1.01 (0.91, 1.13)
	Correlation between observed and predicted	0.22 (p < 0.01)	0.22 (p < 0.01)

Estimates based on analytic sample of 17,669 respondents from 50 multiply imputed datasets. All focal predictors are standardized. Models 1 and 2 control for biological sex, racial identity, parent obesity status, parent employment, birthweight, family structure, whether breastfed for 6 months, parent education, age at Wave IV, pubertal status at Wave I, and whether the respondents was born in the U.S. All estimates account for survey clustering and weighting.