Sample size
obesity, LGA, SD
OBESITY, HYPOGLYCEMIA
We estimated the sample size based on the expected differences in primary outcomes of the Maternal characteristics.Continuous and normally distributed variables were described as means and standard deviations and ordinal outcomes were described as n (%).p-values were calculated via t-test for numeric outcomes and via Chi2 for ordinal outcomes. The bold p-values represent values <0.05.BIA, Bioimpedance; BMI, Body Mass Index.Offspring characteristics.Continuous and normally distributed variables were described as means and standard deviations and ordinal outcomes were described as n (%). p-values were calculated via t-test for numeric outcomes and via Chi2 for ordinal outcomes.Note; there were valid data for 178, 178 and 175 children at birth, 6-8 weeks and one year, respectively. This consisted of 84/105 (80%) offspring in the intervention and 95/106 (89.6%) offspring in the usual-care. All 179 offspring had less than 24% of missing data on all outcomes and this affected mainly the psychobehavioral outcomes. For the other outcomes, missing information was never higher than 9%.BIA: BioimpedanceBMI: body mass indexGA: Gestational AgeHyperbilirubinemia was considered as present if the neonate had total serum bilirubin levels equal or above 15 mg/dL (257 μmol/L) (Hypoglycemia was defined as capillary or venous glucose value ≤2.5 mmol/l (LGA: birth weight > 90SGA: birth weight < 10Calculated with the World Health Organization (WHO) child growth standards The WHO international growth references were used to calculate underweight, normal weight, overweight and obesity from z-scores, we used underweight: lower than −2 SD, normal: from −2 SD to < 1 SD, overweight: 1 SD to <2 SD, obesity from 2 SD and above.Butte formula, 2000: Fat free mass (kg)= Total Body Weight/age and sex specific hydration coefficient (79.3 for Boys or 78.8 for Girls) and Total fat mass = Mass – Fat free mass (Flow-chart. 