Table 5.
Regression analysis of principal component (PC) scores from neonatal anthropometry on parental anthropometry and potential confounding variables
Principal Component | Model term | Standardized coefficient (β) | P |
---|---|---|---|
PC1: head and trunk skeletal size | (Constant) | <0.001 | |
Male sex | 0.21 | <0.001 | |
Gestation | 0.31 | <0.001 | |
Mother smoked | −0.18 | <0.001 | |
Maternal education | |||
Complete high school | 0.06 | 0.08 | |
Post-high school | 0.08 | 0.01 | |
Maternal heighta | 0.15 | <0.001 | |
Maternal BMI | 0.09 | <0.001 | |
PC2: adiposity | (Constant) | <0.001 | |
Male sex | −0.16 | <0.001 | |
Gestation | 0.07 | 0.009 | |
Multiparous | 0.10 | <0.001 | |
Maternal BMI | 0.15 | <0.001 | |
PC3: limb lengths | (Constant) | <0.001 | |
Male sex | 0.109 | <0.001 | |
Gestation | 0.165 | <0.001 | |
Mother smoked | −0.07 | 0.02 | |
Paternal height | 0.143 | <0.001 | |
Paternal BMI | 0.085 | 0.004 |
Parental height and BMI are log values.