A case for not adjusting birthweight customized standards for ethnicity: observations from a unique Australian cohort.


Journal

American journal of obstetrics and gynecology
ISSN: 1097-6868
Titre abrégé: Am J Obstet Gynecol
Pays: United States
ID NLM: 0370476

Informations de publication

Date de publication:
03 2019
Historique:
received: 30 08 2018
revised: 24 10 2018
accepted: 31 10 2018
pubmed: 8 11 2018
medline: 20 11 2019
entrez: 8 11 2018
Statut: ppublish

Résumé

Low birthweight is more common in infants of indigenous (Aboriginal and/or Torres Strait Islander) than of White Australian mothers. Controversy exists on whether fetal growth is normally different in different populations. We sought to determine the relationships of birthweight, birthweight percentiles, and smoking with perinatal outcomes in indigenous vs nonindigenous infants to determine whether the White infant growth charts could be applied to indigenous infants. Data were analyzed for indigenous status, maternal age and smoking, and perinatal outcomes in 45,754 singleton liveborn infants of at least 20 weeks gestation or 400 g birthweight delivered in New South Wales, Australia, between June 2010 and July 2015. Indigenous infants (n=6372; 14%) had a mean birthweight 67 g lower than nonindigenous infants (P<.0001; with adjustment for infant sex and maternal body mass index). Indigenous mean birthweight percentile was 4.2 units lower (P<.0001). Adjustment for maternal age, smoking, body mass index, and infant sex reduced the difference in birthweight/percentiles to nonsignificance (12 g; P=.07). Disparities exist between indigenous and non-indigenous Australian infants for birthweight, birthweight percentile, and adverse outcome rates. Adjustment for smoking and maternal age removed any significant difference in birthweights and birthweight percentiles for indigenous infants. Our data indicate that birthweight percentiles should not be adjusted for indigenous ethnicity because this normalizes disadvantage; because White and indigenous Australians have diverged for approximately 50,000 years, it is likely that the same conclusions apply to other ethnic groups. The disparities in birthweight percentiles that are associated with smoking will likely perpetuate indigenous disadvantage into the future because low birthweight is linked to the development of chronic noncommunicable disease and poorer educational attainment; similar problems may affect other indigenous populations.

Sections du résumé

BACKGROUND
Low birthweight is more common in infants of indigenous (Aboriginal and/or Torres Strait Islander) than of White Australian mothers. Controversy exists on whether fetal growth is normally different in different populations.
OBJECTIVE
We sought to determine the relationships of birthweight, birthweight percentiles, and smoking with perinatal outcomes in indigenous vs nonindigenous infants to determine whether the White infant growth charts could be applied to indigenous infants.
STUDY DESIGN
Data were analyzed for indigenous status, maternal age and smoking, and perinatal outcomes in 45,754 singleton liveborn infants of at least 20 weeks gestation or 400 g birthweight delivered in New South Wales, Australia, between June 2010 and July 2015.
RESULTS
Indigenous infants (n=6372; 14%) had a mean birthweight 67 g lower than nonindigenous infants (P<.0001; with adjustment for infant sex and maternal body mass index). Indigenous mean birthweight percentile was 4.2 units lower (P<.0001). Adjustment for maternal age, smoking, body mass index, and infant sex reduced the difference in birthweight/percentiles to nonsignificance (12 g; P=.07).
CONCLUSION
Disparities exist between indigenous and non-indigenous Australian infants for birthweight, birthweight percentile, and adverse outcome rates. Adjustment for smoking and maternal age removed any significant difference in birthweights and birthweight percentiles for indigenous infants. Our data indicate that birthweight percentiles should not be adjusted for indigenous ethnicity because this normalizes disadvantage; because White and indigenous Australians have diverged for approximately 50,000 years, it is likely that the same conclusions apply to other ethnic groups. The disparities in birthweight percentiles that are associated with smoking will likely perpetuate indigenous disadvantage into the future because low birthweight is linked to the development of chronic noncommunicable disease and poorer educational attainment; similar problems may affect other indigenous populations.

Identifiants

pubmed: 30403974
pii: S0002-9378(18)31022-6
doi: 10.1016/j.ajog.2018.10.094
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

277.e1-277.e10

Informations de copyright

Copyright © 2018. Published by Elsevier Inc.

Auteurs

Roger Smith (R)

Mothers and Babies Research Centre, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; Hunter Medical Research Institute, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, NSW, Australia. Electronic address: roger.smith@newcastle.edu.au.

Lita Mohapatra (L)

Mothers and Babies Research Centre, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, NSW, Australia.

Mandy Hunter (M)

Division of Maternity and Gynaecology, New Lambton Heights, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, NSW, Australia.

Tiffany-Jane Evans (TJ)

Clinical Research Design, IT and Statistical Support Unit, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; Hunter Medical Research Institute, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia.

Christopher Oldmeadow (C)

Clinical Research Design, IT and Statistical Support Unit, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; Hunter Medical Research Institute, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia.

Elizabeth Holliday (E)

Clinical Research Design, IT and Statistical Support Unit, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; Hunter Medical Research Institute, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia.

Alexis Hure (A)

Clinical Research Design, IT and Statistical Support Unit, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; Hunter Medical Research Institute, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, NSW, Australia.

John Attia (J)

Clinical Research Design, IT and Statistical Support Unit, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia; Hunter Medical Research Institute, John Hunter Hospital, New Lambton Heights, Newcastle, NSW, Australia.

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