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Multivariable regression analysis of the association between ultrasound measurements in late gestation or birth weight and paternal BMI in newborn girls.

By You-Peng Chen (324052), Xiao-Min Xiao (324054), Jian Li (41607), Christoph Reichetzeder (316894), Zi-Neng Wang (324056) and Berthold Hocher (311916)

Abstract

<p>Different regression models showing the association between ultrasound measurements in late gestation or birth weight and paternal BMI in newborn girls. Shown are the T, B and P-values for paternal BMI. B: non-standardized regression coefficient.</p><p>Model A: multivariable regression analyses was done in all cases considering maternal BMI, paternal and maternal age, hypertension during pregnancy, maternal glycated serum protein, parity and eithergestational age (for birth weight) or time of ultrasound investigation (for ultrasound parameters) as confounding factors.</p><p>Model B: multivariable regression analyses was done excluding cases where fathers had hypertension but considering maternal BMI, paternal and maternal age, hypertension during pregnancy, maternal glycated serum protein, parity and either gestational age (for birth weight) or time of ultrasound investigation (for ultrasound parameters) as confounding factors.</p><p>Model C: multivariable regression analyses was done in all cases considering maternal BMI, hypertension during pregnancy, maternal glycated serum protein, and either gestational age (for birth weight) or time of ultrasound investigation (for ultrasound parameters) as confounding factors.</p><p>B: partial regression coefficient; 95% CI: 95% confidence interval for B; T: standardized regression coefficient.</p

Topics: Genetics, Physiology, Biotechnology, Chemistry, Developmental Biology, regression, ultrasound, gestation, paternal, bmi, newborn
Year: 2013
DOI identifier: 10.1371/journal.pone.0036329.t004
OAI identifier: oai:figshare.com:article/313961
Provided by: FigShare
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