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Related Experiment Video

Updated: Jul 17, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Customised birthweight standards accurately predict perinatal morbidity.

Francesc Figueras1, Josep Figueras, Eva Meler

  • 1Perinatal Institute, Crystal Court, Aston Cross, Birmingham, UK. Francesc.Figueras@perinatal.nhs.uk

Archives of Disease in Childhood. Fetal and Neonatal Edition
|January 26, 2007
PubMed
Summary

Customised birthweight centiles better identify neonates at risk for adverse outcomes. This approach improves the detection of small for gestational age (SGA) infants, enhancing prediction of neonatal morbidity and mortality.

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Last Updated: Jul 17, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Area of Science:

  • Perinatal Medicine
  • Neonatal Health
  • Growth Monitoring

Background:

  • Fetal growth restriction often goes unrecognized antenatally.
  • Population-based birthweight centiles are used as a proxy for fetal growth status.
  • This can lead to underestimation of risk for adverse perinatal outcomes.

Purpose of the Study:

  • To compare the association between neonatal morbidity and fetal growth status using customised versus population-based birthweight centiles.
  • To evaluate the effectiveness of customised standards in identifying neonates at risk.

Main Methods:

  • Retrospective cohort study of 13,661 non-malformed singleton deliveries.
  • Applied both population-based and customised birth weight standards.
  • Customised centiles adjusted for maternal height, booking weight, parity, ethnicity, gestational age, and fetal sex.

Main Results:

  • Customised standards identified an additional 4.1% of neonates as small for gestational age (SGA).
  • Newly identified SGA neonates showed significantly increased risks of perinatal mortality (OR 3.2), neurological morbidity (OR 3.2), and non-neurological morbidity (OR 8).
  • The association between SGA and adverse outcomes was stronger with customised centiles.

Conclusions:

  • Customised birthweight standards improve the prediction of adverse neonatal outcomes.
  • The association between SGA and adverse outcomes is independent of gestational age.
  • This highlights the importance of individualized growth assessment in perinatal care.