Table 4. Variance explained (R 2) by models of predictors.
Statistical model | R 2 | ||
FSIQ | VIQ | PIQ | |
Study variables (child’s age and tester)+sex | 0.07 | 0.03 | 0.09 |
Study variables+core predictors (parental education, maternal IQ)+sex | 0.24 | 0.20 | 0.20 |
Parental characteristics | |||
Maternal age, paternal age, parity, maternal pre-pregnancy BMI, maternal prenatal marital status* | 0.24 | 0.21 | 0.20 |
Pregnancy and birth | |||
Gestational age, birth weight, Apgar score at 5 min., maternal smoking, maternal alcohol consumption* | 0.25 | 0.20 | 0.21 |
Postnatal influences | |||
Maternal marital status, breastfeeding, parental smoking, daycare 8+ hrs/day before age 3, separation from parents for 14+ days,irregular breakfast, maternal depression, high parental alcohol intake (>14 drinks/week (women) or >21 drinks/week (men)* | 0.26 | 0.21 | 0.22 |
Postnatal growth | |||
Head circumference, height, and BMI at 5 years* | 0.27 | 0.22 | 0.22 |
Final model | |||
Maternal age, paternal age, parity, maternal prenatal marital status, birth weight, breastfeeding, irregular breakfast,head circumference and height at 5 years* | 0.29 | 0.25 | 0.24 |
Plus study variables, core predictors, and sex.