Table 2 Birth weight or birth length ⩾90th percentile in relation to covariates in 2869 children in the BAMSE study
Birth weight ⩾90th percentileBirth length ⩾90th percentile
%Crude OR (95% CI)%Crude OR (95% CI)
Body mass index (BMI) at age 4
    10th to 90th percentile10.81.016.91.0
    ⩾90th percentile21.52.25 (1.62 to 3.12)17.11.02 (0.72 to 1.45)
Family history of allergy
    No11.01.016.11.0
    Yes11.81.08 (0.84 to 1.38)17.11.08 (0.87 to 1.33)
Young maternal age (⩽25 years)
    No11.21.016.51.0
    Yes12.71.15 (0.74 to 1.79)16.00.97 (0.64 to 1.45)
Sex
    Girl8.91.012.41.0
    Boy13.61.60 (1.25 to 2.06)20.21.79 (1.44 to 2.22)
Exclusive breastfeeding (⩾4 months)
    No11.51.015.11.0
    Yes11.30.98 (0.71 to 1.35)16.81.13 (0.85 to 1.51)
⩾1 older sibling
    No9.31.015.51.0
    Yes14.01.59 (1.25 to 2.03)17.81.18 (0.95 to 1.46)
Gestational age
    36 to 42 weeks11.01.016.31.0
    >42 weeks22.92.40 (1.42 to 4.07)24.41.65 (0.99 to 2.77)
Maternal perinatal smoking
    No11.71.016.91.0
    Yes8.30.68 (0.45 to 1.03)12.90.73 (0.51 to 1.03)
Socio-economic index
    Blue-collar10.31.014.31.0
    White-collar (low and intermediate level)12.31.22 (0.86 to 1.73)17.51.27 (0.93 to 1.74)
    White-collar (high level)10.71.04 (0.72 to 1.51)16.31.16 (0.84 to 1.61)
  • 10th percentile<birth weight<90th percentile and 10th percentile<birth length<90th percentile served as reference groups. CI, confidence interval; OR, odds ratio. Family history of allergy: doctor diagnosed asthma with asthma medication and/or rhinitis and/or pet or pollen allergy in at least one of the parents. Maternal perinatal smoking: maternal smoking during pregnancy and/or during the first 2 months of life of the child. Socio-economic index: classified according to the Nordic standard occupational classification and the Swedish socio-economic classification. The children were categorised on the basis of their parents’ occupation into unskilled and skilled blue-collar workers including students and unemployed (as the reference category), low and intermediate level white-collar workers, and high level white-collar workers.