Anthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice

Introduction: Cardiovascular diseases are one of the leading causes of death in Mexico. Although the use of anthropometric indicators facilitates the diagnosis of cardiovascular risk (CVR), their use is limited in rural communities with limited resources. This article evaluated and demonstrated p...

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Autores principales: María del Guzmán Márquez, Ivonne Vizcarra-Bordi, TERESA RIVERA, Alejandra Benitez-Arciniega
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Publicado: James Cook University 2021
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Acceso en línea:https://doaj.org/article/9d6cee3bb47d44679df32a281db6d2ba
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spelling oai:doaj.org-article:9d6cee3bb47d44679df32a281db6d2ba2021-11-12T03:49:40ZAnthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice10.22605/RRH61331445-6354https://doaj.org/article/9d6cee3bb47d44679df32a281db6d2ba2021-11-01T00:00:00Zhttps://www.rrh.org.au/journal/article/6133/https://doaj.org/toc/1445-6354 Introduction: Cardiovascular diseases are one of the leading causes of death in Mexico. Although the use of anthropometric indicators facilitates the diagnosis of cardiovascular risk (CVR), their use is limited in rural communities with limited resources. This article evaluated and demonstrated predictive capacity of three anthropometric indexes for CVR in Indigenous women in Mexico from Matlatzinca ethnic group. Methods: A cross-sectional study of 93 Indigenous women was carried out. CVR was calculated with the Framingham risk score and used as the reference method by comparing it with waist circumference (WC), conicity index (CoI) and waist-height index (WHI). Receiver operating characteristic (ROC) curves were used to analyze the area under the curve (AUC), sensitivity and specificity for each anthropometric index. Results: Cut-off points (and AUC) for each anthropometric index were WHI 0.63 (0.763), CoI 1.29 (0.756) and WC 91 (0.663). Conclusion: In this population, WHI presented the greatest discrimination power; it was considered the best predictor of CVR because of its high sensitivity. It was demonstrated that the anthropometric indexes WC, CoI and WHI could be used in clinical practice in rural areas without sufficient resources for serological tests. María del Guzmán MárquezIvonne Vizcarra-BordiTERESA RIVERAAlejandra Benitez-ArciniegaJames Cook Universityarticleanthropometric indexcardiovascular riskcentral obesityIndigenous womenMexicoROC curves.Special situations and conditionsRC952-1245Public aspects of medicineRA1-1270ENRural and Remote Health, Vol 21 (2021)
institution DOAJ
collection DOAJ
language EN
topic anthropometric index
cardiovascular risk
central obesity
Indigenous women
Mexico
ROC curves.
Special situations and conditions
RC952-1245
Public aspects of medicine
RA1-1270
spellingShingle anthropometric index
cardiovascular risk
central obesity
Indigenous women
Mexico
ROC curves.
Special situations and conditions
RC952-1245
Public aspects of medicine
RA1-1270
María del Guzmán Márquez
Ivonne Vizcarra-Bordi
TERESA RIVERA
Alejandra Benitez-Arciniega
Anthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice
description Introduction: Cardiovascular diseases are one of the leading causes of death in Mexico. Although the use of anthropometric indicators facilitates the diagnosis of cardiovascular risk (CVR), their use is limited in rural communities with limited resources. This article evaluated and demonstrated predictive capacity of three anthropometric indexes for CVR in Indigenous women in Mexico from Matlatzinca ethnic group. Methods: A cross-sectional study of 93 Indigenous women was carried out. CVR was calculated with the Framingham risk score and used as the reference method by comparing it with waist circumference (WC), conicity index (CoI) and waist-height index (WHI). Receiver operating characteristic (ROC) curves were used to analyze the area under the curve (AUC), sensitivity and specificity for each anthropometric index. Results: Cut-off points (and AUC) for each anthropometric index were WHI 0.63 (0.763), CoI 1.29 (0.756) and WC 91 (0.663). Conclusion: In this population, WHI presented the greatest discrimination power; it was considered the best predictor of CVR because of its high sensitivity. It was demonstrated that the anthropometric indexes WC, CoI and WHI could be used in clinical practice in rural areas without sufficient resources for serological tests.
format article
author María del Guzmán Márquez
Ivonne Vizcarra-Bordi
TERESA RIVERA
Alejandra Benitez-Arciniega
author_facet María del Guzmán Márquez
Ivonne Vizcarra-Bordi
TERESA RIVERA
Alejandra Benitez-Arciniega
author_sort María del Guzmán Márquez
title Anthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice
title_short Anthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice
title_full Anthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice
title_fullStr Anthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice
title_full_unstemmed Anthropometric predictors for cardiovascular risk in Indigenous women in Mexico: an inexpensive alternative in rural clinical practice
title_sort anthropometric predictors for cardiovascular risk in indigenous women in mexico: an inexpensive alternative in rural clinical practice
publisher James Cook University
publishDate 2021
url https://doaj.org/article/9d6cee3bb47d44679df32a281db6d2ba
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AT teresarivera anthropometricpredictorsforcardiovascularriskinindigenouswomeninmexicoaninexpensivealternativeinruralclinicalpractice
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