[New percentile values for the anthropometric dimensions of singleton neonates: analysis of perinatal survey data of 2007-2011 from all 16 states of Germany]

Z Geburtshilfe Neonatol. 2014 Oct;218(5):210-7. doi: 10.1055/s-0034-1385857. Epub 2014 Oct 29.
[Article in German]

Abstract

Aim: The aim of this study was to derive percentile values for birth weight, length, head circumference, and weight for length for singleton neonates based on the German perinatal survey of 2007-2011 (using data from all 16 states of Germany). We also compared these new percentile values with the percentile values of 1995-2000 that so far have been considered standard values.

Material and methods: Data of 3 187 920 singleton neonates from the German perinatal survey of the years 2007-2011 were kindly provided to us by the AQUA Institute in Göttingen, Germany. Sex specific percentile values were calculated using cumulative frequencies. Percentile values at birth were computed for the 3(rd), 10(th), 25(th), 50(th), 75(th), 90(th), and 97(th) percentiles for 21-43 completed weeks of gestation. Percentile curves and tabulated values for the years 2007-2011 were compared with the published values of 1995-2000.

Results and discussion: Overall the new percentile curves closely resemble the previous ones. Minimal differences can be found for the 10(th) percentile and generally for early weeks of gestation. Values for the 10(th) percentile in the 2007-2011 dataset are somewhat higher than values of 1995-2000 for birth weight, length, and weight for length.

Conclusions: We recommend the use of these new percentile values instead of the old ones.

Publication types

  • English Abstract
  • Multicenter Study

MeSH terms

  • Anthropometry / methods*
  • Body Size / physiology*
  • Data Collection
  • Female
  • Germany / epidemiology
  • Humans
  • Infant, Newborn / physiology*
  • Male
  • Pregnancy
  • Pregnancy Outcome / epidemiology*
  • Reference Values
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Sex Distribution
  • Sex Factors