. 2016 Feb 22;21(3):257–266. doi: 10.3109/1354750X.2015.1134663

Table 2. Maternal markers affecting different birth outcomes as determined by regression model analyses.

	Infant birth weight (IBW) distribution		Infant birth weight for gestational age (IBW-GA) distribution
Birth outcome	Maternal factors ^a	Maternal factors ^b	Maternal factors ^a	Maternal factors ^b
IBW	ICAM-1 (p = 0.012)VEGF (p = 0.002)ET-3 (p = 0.087)VCAM-1 (p = 0.074)	VEGF (p < 0.01)ET-3 (p < 0.01)VCAM-1 (p < 0.05)	VCAM-1 (p = 0.007)VEGF (p = 0.067)ICAM-1 (p = 0.078)BMI (p = 0.094)DiaBP (p = 0.090)ET-1 (p = 0.179)	BET-1 (p = 0.03)ET-2 (p = 0.05)MMP-9 (p = 0.02)VEGF (p = 0.003)
GA	MMP-2 (p = 0.010)VEGF (p = 0.037)ET-1 (p = 0.107)ICAM-1 (p = 0.076)	MMP-2 (p < 0.06)VEGF (p = 0.01)ET-1 (p = 0.01)	–	–
IBW/GA	BET-1 (p = 0.032)MMP-2 (p = 0.033)MMP-9 (p = 0.021)VEGF (p < 0.001)BMI (p = 0.106)	BET-1 (p < 0.01)MMP-2 (p < 0.05)VEGF (p < 0.01)BMI (p < 0.01)	–	–
<25th percentile IBW	BET-1 (p = 0.021),ET-2 (p = 0.014),ISOP (p = 0.074),VCAM-1(p = 0.077),MMP-9 (p = 0.003)	BET-1 (p = 0.01)ET-2 (p = 0.02)MMP-9 (p = 0.01)	SysBP (p = 0.035)DiaBP (p = 0.046)BET-1 (p = 0.065)ET-2 (p = 0.084)MMP-7 (p = 0.067)MMP-9 (p = 0.036)	BET-1 (p = 0.01)ET-2 (p = 0.02)MMP-9 (p = 0.01)
>75th percentile IBW	ET-3 (p = 0.097),VEGF (p < 0.001)	VEGF (p = 0.002)	VCAM-1 (p = 0.008)VEGF (p = 0.078)	VEGF (p = 0.002)

Best subsets regression results (e.g. <25th percentile, r = 0.46; >75th percentile, r = 0.36).

Polytomous logistic regression results.