» Articles » PMID: 32608051

New Australian Birthweight Centiles

Overview
Journal Med J Aust
Specialty General Medicine
Date 2020 Jul 2
PMID 32608051
Citations 12
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: To prepare more accurate population-based Australian birthweight centile charts by using the most recent population data available and by excluding pre-term deliveries by obstetric intervention of small for gestational age babies.

Design: Population-based retrospective observational study.

Setting: Australian Institute of Health and Welfare National Perinatal Data Collection.

Participants: All singleton births in Australia of 23-42 completed weeks' gestation and with spontaneous onset of labour, 2004-2013. Births initiated by obstetric intervention were excluded to minimise the influence of decisions to deliver small for gestational age babies before term.

Main Outcome Measures: Birthweight centile curves, by gestational age and sex.

Results: Gestational age, birthweight, sex, and labour onset data were available for 2 807 051 singleton live births; onset of labour was spontaneous for 1 582 137 births (56.4%). At pre-term gestational ages, the 10th centile was higher than the corresponding centile in previous Australian birthweight charts based upon all births.

Conclusion: Current birthweight centile charts probably underestimate the incidence of intra-uterine growth restriction because obstetric interventions for delivering pre-term small for gestational age babies depress the curves at earlier gestational ages. Our curves circumvent this problem by excluding intervention-initiated births; they also incorporate more recent population data. These updated centile curves could facilitate more accurate diagnosis of small for gestational age babies in Australia.

Citing Articles

Risk-Prioritised Versus Universal Medical Nutrition Therapy for Gestational Diabetes: A Retrospective Observational Study.

Smith R, Boaro M, Mak K, Wong V Nutrients. 2025; 17(2).

PMID: 39861424 PMC: 11767799. DOI: 10.3390/nu17020294.


Predicting cardiac and pregnancy outcomes in women with adult congenital heart disease using the Anatomic and Physiological (AP) Classification System: How much does physiology matter?.

Kha R, Melov S, Alahakoon T, Kirby A, Choudhary P Int J Cardiol Congenit Heart Dis. 2024; 15:100486.

PMID: 39713490 PMC: 11657950. DOI: 10.1016/j.ijcchd.2023.100486.


Dietary patterns during pregnancy and maternal and birth outcomes in women with type 1 diabetes: the Environmental Determinants of Islet Autoimmunity (ENDIA) study.

Thomson R, Brown J, Oakey H, Palmer K, Ashwood P, Penno M Diabetologia. 2024; 67(11):2420-2432.

PMID: 39222156 PMC: 11519125. DOI: 10.1007/s00125-024-06259-5.


Domestic and family violence and associated maternal and perinatal outcomes: A population-based retrospective cohort study.

Baird K, Phipps H, Javid N, Stephen de Vries B Birth. 2024; 52(1):89-99.

PMID: 39162071 PMC: 11829271. DOI: 10.1111/birt.12863.


Investigating Menstruation and Adverse Pregnancy Outcomes: Oxymoron or New Frontier? A Narrative Review.

Tindal K, Cousins F, Ellery S, Palmer K, Gordon A, Filby C J Clin Med. 2024; 13(15).

PMID: 39124698 PMC: 11312851. DOI: 10.3390/jcm13154430.