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Secondly, we used different linear regression models to examine the associations of first trimester fetal crown to rump length standard deviation score with childhood outcomes and the role of fetal and childhood growth in these associations.
To further explore non-linearity and for presentation purposes, we also categorised first trimester fetal crown to rump length in fifths and examined the associations of fifths of first trimester fetal crown to rump length standard deviation score with childhood outcomes by using multivariate regression models.
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23 Firstly, we used first trimester fetal crown to rump length standard deviation scores as a continuous variable, to analyse the linear associations of first trimester fetal crown to rump length with childhood outcomes.
Thirdly, we examined the association of first trimester fetal crown to rump length standard deviation scores continuously and in fifths with the risk of childhood clustering of cardiovascular risk factors.
Infant weight gain from 0 to 12 months of age was assessed as weight-for-length standard deviation scores (SDS) and mixed effect linear regression models.
Growth will be assessed as change in weight, length and head circumference standard deviation score (SDS) from birth to 28 days using conditional charts.
Results: Mean adult height standard deviation score — midparental height standard deviation score was −1.1 for both sexes.
He was severely malnourished (weight/length ratio −3 Dutch standard deviation score, comparable to Iranian growth charts).
SDS, standard deviation score.
eassessed as overweight, fassessed as obese; SDS, standard deviation score.
Subsequently, longitudinal curves of all fetal growth measurements (head circumference, biparietal diameter, abdominal circumference and femur length) were created resulting in standard deviation scores for all of these specific growth measurements.
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