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Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data

BACKGROUND: Being born small for gestational age is a strong predictor of the short- and long-term health of the neonate, child, and adult. Variation in the rates of small for gestational age have been identified across population groups in high income countries, including Australia. Understanding t...

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Autores principales: Grundy, Sarah, Lee, Patricia, Small, Kirsten, Ahmed, Faruk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164792/
https://www.ncbi.nlm.nih.gov/pubmed/34051749
http://dx.doi.org/10.1186/s12884-021-03864-9
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author Grundy, Sarah
Lee, Patricia
Small, Kirsten
Ahmed, Faruk
author_facet Grundy, Sarah
Lee, Patricia
Small, Kirsten
Ahmed, Faruk
author_sort Grundy, Sarah
collection PubMed
description BACKGROUND: Being born small for gestational age is a strong predictor of the short- and long-term health of the neonate, child, and adult. Variation in the rates of small for gestational age have been identified across population groups in high income countries, including Australia. Understanding the factors contributing to this variation may assist clinicians to reduce the morbidity and mortality associated with being born small. Victoria, in addition to New South Wales, accounts for the largest proportion of net overseas migration and births in Australia. The aim of this research was to analyse how migration was associated with small for gestational age in Victoria. METHODS: This was a cross sectional population health study of singleton births in Victoria from 2009 to 2018 (n = 708,475). The prevalence of being born small for gestational age (SGA; <10th centile) was determined for maternal region of origin groups. Multivariate logistic regression analysis was used to analyse the association between maternal region of origin and SGA. RESULTS: Maternal region of origin was an independent risk factor for SGA in Victoria (p < .001), with a prevalence of SGA for migrant women of 11.3% (n = 27,815) and 7.3% for Australian born women (n = 33,749). Women from the Americas (aOR1.24, 95%CI:1.14 to 1.36), North Africa, North East Africa, and the Middle East (aOR1.57, 95%CI:1.52 to 1.63); Southern Central Asia (aOR2.58, 95%CI:2.50 to 2.66); South East Asia (aOR2.02, 95%CI: 1.95 to 2.01); and sub-Saharan Africa (aOR1.80, 95%CI:1.69 to 1.92) were more likely to birth an SGA child in comparison to women born in Australia. CONCLUSIONS: Victorian woman’s region of origin was an independent risk factor for SGA. Variation in the rates of SGA between maternal regions of origin suggests additional factors such as a woman’s pre-migration exposures, the context of the migration journey, settlement conditions and social environment post migration might impact the potential for SGA. These findings highlight the importance of intergenerational improvements to the wellbeing of migrant women and their children. Further research to identify modifiable elements that contribute to birthweight differences across population groups would help enable appropriate healthcare responses aimed at reducing the rate of being SGA.
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spelling pubmed-81647922021-06-01 Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data Grundy, Sarah Lee, Patricia Small, Kirsten Ahmed, Faruk BMC Pregnancy Childbirth Research BACKGROUND: Being born small for gestational age is a strong predictor of the short- and long-term health of the neonate, child, and adult. Variation in the rates of small for gestational age have been identified across population groups in high income countries, including Australia. Understanding the factors contributing to this variation may assist clinicians to reduce the morbidity and mortality associated with being born small. Victoria, in addition to New South Wales, accounts for the largest proportion of net overseas migration and births in Australia. The aim of this research was to analyse how migration was associated with small for gestational age in Victoria. METHODS: This was a cross sectional population health study of singleton births in Victoria from 2009 to 2018 (n = 708,475). The prevalence of being born small for gestational age (SGA; <10th centile) was determined for maternal region of origin groups. Multivariate logistic regression analysis was used to analyse the association between maternal region of origin and SGA. RESULTS: Maternal region of origin was an independent risk factor for SGA in Victoria (p < .001), with a prevalence of SGA for migrant women of 11.3% (n = 27,815) and 7.3% for Australian born women (n = 33,749). Women from the Americas (aOR1.24, 95%CI:1.14 to 1.36), North Africa, North East Africa, and the Middle East (aOR1.57, 95%CI:1.52 to 1.63); Southern Central Asia (aOR2.58, 95%CI:2.50 to 2.66); South East Asia (aOR2.02, 95%CI: 1.95 to 2.01); and sub-Saharan Africa (aOR1.80, 95%CI:1.69 to 1.92) were more likely to birth an SGA child in comparison to women born in Australia. CONCLUSIONS: Victorian woman’s region of origin was an independent risk factor for SGA. Variation in the rates of SGA between maternal regions of origin suggests additional factors such as a woman’s pre-migration exposures, the context of the migration journey, settlement conditions and social environment post migration might impact the potential for SGA. These findings highlight the importance of intergenerational improvements to the wellbeing of migrant women and their children. Further research to identify modifiable elements that contribute to birthweight differences across population groups would help enable appropriate healthcare responses aimed at reducing the rate of being SGA. BioMed Central 2021-05-29 /pmc/articles/PMC8164792/ /pubmed/34051749 http://dx.doi.org/10.1186/s12884-021-03864-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Grundy, Sarah
Lee, Patricia
Small, Kirsten
Ahmed, Faruk
Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data
title Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data
title_full Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data
title_fullStr Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data
title_full_unstemmed Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data
title_short Maternal region of origin and Small for gestational age: a cross-sectional analysis of Victorian perinatal data
title_sort maternal region of origin and small for gestational age: a cross-sectional analysis of victorian perinatal data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164792/
https://www.ncbi.nlm.nih.gov/pubmed/34051749
http://dx.doi.org/10.1186/s12884-021-03864-9
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