Table 2.

MAP trajectory models

	Intercept-only model		Linear model		Quadratic model		Cubic and individual main effectsc		Final model
Predictor	b	SE	b	SE	b	SE	b	SE	b	SE
Intercept	81.4a	0.28	77.6a	0.41	80.7a	0.74	85.5a	1.38	79.9a	0.92
Level 1 (within person)
Gestational age (GA-linear)			0.13a	0.01	−0.13b	0.05	−0.78a	0.17	−0.38a	0.06
Gestational age (GA-quadratic)					0.005a	0.0009	0.03a	0.006	0.01a	0.001
Gestational age (GA-cubic)							−.0003a	0.0001
Weight change							0.02	0.006	0.18a	0.03
Level 2 (between person)
Race (1 = black; 0 = nonblack)							1.91b	0.55	1.42	0.85
BMI—underweight (1 = yes; 0 = no)							−3.09b	1.17	−3.52b	1.12
BMI—overweight (1 = yes; 0 = no)							2.64b	0.69	2.53b	0.66
BMI—obese (1 = yes; 0 = no)							3.26a	0.65	3.38a	0.62
Cigarette smoking year prior to pregnancy							−0.85	0.56
Cigarette smoking during first 24 wk of pregnancy							−0.15	0.64
Social conflict							0.003	0.04
Perceived stress							−0.04	0.04
Prenatal distress							0.05	0.04
Marijuana use during first 24 wk of pregnancy							0.52	1.01
Alcohol use during first 24 wk of pregnancy							0.45	1.02
Nutrition during pregnancy						–	−0.01	0.05
Exercise during pregnancy							0.05	0.13
Maternal age							0.11	0.10
Median family income							0.000007	0.00002
High school dropout							−1.00	0.62
Primigravida							−0.22	0.56
Workload							0.20	0.21
Interactions
Weight change × race									−0.10a	0.02
GA-linear × race									0.10b	0.03
GA-linear × weight change									−0.002b	0.0006
Model fit
BIC	28,766.9		28,596.7		28,574.3				27,310.8

BMI, body mass index; GA, gestational age; BIC, Bayesian information criterion; MAP, mean arterial pressure.

^ap < 0.0001.

^bp < 0.05.

^cEach main effect tested individually with the significant time effects.