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Table 1 Sample characteristics by parity and birthweight for gestational age category (N = 30,705)

From: Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study

Predictors Primiparae Multiparae
AGA SGA LGA AGA SGA LGA
Sociodemographics
 Maternal age [years] 27.2 (5.7) 26.9 (6.0) 27.3 (5.5) 30.3 (5.2) 29.8 (5.5) 31.1 (4.9)
 Common-law/married 66% 63% 67% 79% 68% 84%
 Area-level income quintiles 18/22/23/22/15% 22/21/24/20/13% 16/23/22/24/15% 17/21/23/22/17% 24/22/22/18/14% 17/19/24/22/18%
 Urban residence 66% 63% 67% 79% 68% 84%
Pregnancy risk factors
 Smoking before pregnancy 25% 37% 20% 24% 47% 15%
 Pre-pregnancy BMI [m/kg2] 25.5 (6.1) 24.9 (6.4) 27.7 (6.8) 26.4 (6.4) 24.9 (6.0) 28.8 (7.2)
 Pre-existing hypertension 1% 2% 2% 1% 2% 2%
 Pre-existing diabetes 1% 1% 2% 1% 1% 3%
Past pregnancy history
 Previous gestational diabetes 3% 2% 5%
 Previous child with BW < 2500 g 7% 19% 3%
 Previous child with BW > 4080 g 9% 3% 31%
 Previous caesarean section 24% 23% 29%
 Previous preterm delivery < 29 wks 1% 1% 1%
 Previous preterm delivery 29–32 wks 1% 2% 1%
 Previous preterm delivery 33–36 wks 5% 7% 4%
 Previous death of neonate ≥500 g 1% 1% 0%
Current pregnancy
 Fetal male sex 51% 54% 52% 51% 52% 50%
 Weight gain at 26 wks [kg] 8.9 (3.3) 7.9 (3.1) 10.3 (3.8) 7.8 (3.2) 6.7 (3.2) 8.8 (3.5)
 Smoking during pregnancy 15% 27% 9% 19% 41% 10%
 Substance use in pregnancy 3% 5% 2% 2% 4% 1%
 Gestational diabetes 4% 6% 8% 5% 5% 10%
 Pregnancy-induced hypertension 2% 5% 2% 1% 2% 1%
 Psychiatric disorder 11% 13% 11% 12% 14% 10%
  1. Numbers are presented as mean (standard deviation) or proportions as applicable
  2. Abbreviations: AGA appropriate for gestational age, BMI body mass index, BW birthweight, LGA large for gestational age, Pre-P pre-pregnancy, SGA small for gestational age, wks weeks