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Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study

BACKGROUND: Australian Aboriginal women tend to have body shape and pregnancy risk profiles different from other Australian women. This study aims to examine the associations of anthropometric indices with gestational hypertensive disorders (GHD), and to determine the index that can best predict the...

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Autores principales: Sina, Maryam, Hoy, Wendy, Wang, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3946005/
https://www.ncbi.nlm.nih.gov/pubmed/24593885
http://dx.doi.org/10.1186/1756-0500-7-122
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author Sina, Maryam
Hoy, Wendy
Wang, Zhiqiang
author_facet Sina, Maryam
Hoy, Wendy
Wang, Zhiqiang
author_sort Sina, Maryam
collection PubMed
description BACKGROUND: Australian Aboriginal women tend to have body shape and pregnancy risk profiles different from other Australian women. This study aims to examine the associations of anthropometric indices with gestational hypertensive disorders (GHD), and to determine the index that can best predict the risk of this condition occurring during pregnancy. METHODS: This is a nested case–control study. Baseline body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were measured as part of a broader health screening program between 1992 and 1995 in a remote Aboriginal community. All subsequent pregnancies among the original participants were identified during 20 year follow-up period through hospital records (up to May 2012). Twenty eight women were diagnosed as having GHD, each of whom were individually matched by age at baseline with five women who were hospitalised for other pregnancy-related conditions and were free from GHD (n = 140). The associations of the baseline anthropometric measurements with GHD were assessed using conditional logistic regression. RESULTS: The best predictor of GHD was WC (OR = 1.8; (95% CI, 1.1-2.9) for one standard deviation increase in WC), followed by BMI with the corresponding OR = 1.7 (95% CI, 1.1- 2.6). Other measurements, HC, WHR, and WHtR, were also positively associated with GHD, but those associations were not statistically significant. CONCLUSIONS: WC and BMI prior to pregnancy are anthropometric predictors of GHD in Aboriginal women, and WC is the best predictor. These findings imply the importance of early weight control in preventing GHD in Aboriginal women.
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spelling pubmed-39460052014-03-09 Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study Sina, Maryam Hoy, Wendy Wang, Zhiqiang BMC Res Notes Research Article BACKGROUND: Australian Aboriginal women tend to have body shape and pregnancy risk profiles different from other Australian women. This study aims to examine the associations of anthropometric indices with gestational hypertensive disorders (GHD), and to determine the index that can best predict the risk of this condition occurring during pregnancy. METHODS: This is a nested case–control study. Baseline body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were measured as part of a broader health screening program between 1992 and 1995 in a remote Aboriginal community. All subsequent pregnancies among the original participants were identified during 20 year follow-up period through hospital records (up to May 2012). Twenty eight women were diagnosed as having GHD, each of whom were individually matched by age at baseline with five women who were hospitalised for other pregnancy-related conditions and were free from GHD (n = 140). The associations of the baseline anthropometric measurements with GHD were assessed using conditional logistic regression. RESULTS: The best predictor of GHD was WC (OR = 1.8; (95% CI, 1.1-2.9) for one standard deviation increase in WC), followed by BMI with the corresponding OR = 1.7 (95% CI, 1.1- 2.6). Other measurements, HC, WHR, and WHtR, were also positively associated with GHD, but those associations were not statistically significant. CONCLUSIONS: WC and BMI prior to pregnancy are anthropometric predictors of GHD in Aboriginal women, and WC is the best predictor. These findings imply the importance of early weight control in preventing GHD in Aboriginal women. BioMed Central 2014-03-05 /pmc/articles/PMC3946005/ /pubmed/24593885 http://dx.doi.org/10.1186/1756-0500-7-122 Text en Copyright © 2014 Sina et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research Article
Sina, Maryam
Hoy, Wendy
Wang, Zhiqiang
Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study
title Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study
title_full Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study
title_fullStr Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study
title_full_unstemmed Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study
title_short Anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study
title_sort anthropometric predictors of gestational hypertensive disorders in a remote aboriginal community: a nested case–control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3946005/
https://www.ncbi.nlm.nih.gov/pubmed/24593885
http://dx.doi.org/10.1186/1756-0500-7-122
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