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Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women

BACKGROUND AND OBJECTIVES: Studies have shown a strong association between excess weight and risk of incident diabetes in Iranian women. Therefore, we investigated anthropometric indices in the prediction of diabetes in Iranian women. SUBJECTS AND METHODS: We examined 2801 females aged ≥220 years (m...

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Autores principales: Hadaegh, Farzad, Shafiee, Gita, Azizi, Fereidoun
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2813660/
https://www.ncbi.nlm.nih.gov/pubmed/19448363
http://dx.doi.org/10.4103/0256-4947.51788
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author Hadaegh, Farzad
Shafiee, Gita
Azizi, Fereidoun
author_facet Hadaegh, Farzad
Shafiee, Gita
Azizi, Fereidoun
author_sort Hadaegh, Farzad
collection PubMed
description BACKGROUND AND OBJECTIVES: Studies have shown a strong association between excess weight and risk of incident diabetes in Iranian women. Therefore, we investigated anthropometric indices in the prediction of diabetes in Iranian women. SUBJECTS AND METHODS: We examined 2801 females aged ≥220 years (mean [SD] age, 45.2 [12.9] years) in an Iranian urban population who were non-diabetic or had abnormal glucose tolerance at baseline. We estimated the predictive value of central obesity parameters (waist circumference [WC], waist-to-hip ratio [WHR], waist-to-height ratio [WHtR], body mass index [BMI]) in the prediction of diabetes. We classified each parameter in quartiles and compared the lowest with the highest quartile after adjusting for confounding variables, including age, hypertension, triglyceride levels, HDL-cholesterol, family history of diabetes, and abnormal glucose tolerance in a multivariate model. Receiver operator characteristic (ROC) curves were used to determine the predictive power of each variable. RESULTS: Over a median follow up of 3.5 years (11 months-6.3 years), 114 individuals developed diabetes (4.1%). The risk for developing diabetes was significantly higher for the highest quartile of BMI, WC, WHR and WHtR, respectively, compared to the lowest quartile, and the risk decreased but remained statistically significant when abnormal glucose tolerance was included in the multivariate model. WHtR had the highest area under the ROC curve. CONCLUSIONS: In Iranian women, BMI, WC, WHR, WHtR were predictive of development of type 2 diabetes, but WHtR was a better predictor than BMI.
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spelling pubmed-28136602010-02-08 Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women Hadaegh, Farzad Shafiee, Gita Azizi, Fereidoun Ann Saudi Med Original Article BACKGROUND AND OBJECTIVES: Studies have shown a strong association between excess weight and risk of incident diabetes in Iranian women. Therefore, we investigated anthropometric indices in the prediction of diabetes in Iranian women. SUBJECTS AND METHODS: We examined 2801 females aged ≥220 years (mean [SD] age, 45.2 [12.9] years) in an Iranian urban population who were non-diabetic or had abnormal glucose tolerance at baseline. We estimated the predictive value of central obesity parameters (waist circumference [WC], waist-to-hip ratio [WHR], waist-to-height ratio [WHtR], body mass index [BMI]) in the prediction of diabetes. We classified each parameter in quartiles and compared the lowest with the highest quartile after adjusting for confounding variables, including age, hypertension, triglyceride levels, HDL-cholesterol, family history of diabetes, and abnormal glucose tolerance in a multivariate model. Receiver operator characteristic (ROC) curves were used to determine the predictive power of each variable. RESULTS: Over a median follow up of 3.5 years (11 months-6.3 years), 114 individuals developed diabetes (4.1%). The risk for developing diabetes was significantly higher for the highest quartile of BMI, WC, WHR and WHtR, respectively, compared to the lowest quartile, and the risk decreased but remained statistically significant when abnormal glucose tolerance was included in the multivariate model. WHtR had the highest area under the ROC curve. CONCLUSIONS: In Iranian women, BMI, WC, WHR, WHtR were predictive of development of type 2 diabetes, but WHtR was a better predictor than BMI. Medknow Publications 2009 /pmc/articles/PMC2813660/ /pubmed/19448363 http://dx.doi.org/10.4103/0256-4947.51788 Text en © Annals of Saudi Medicine http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hadaegh, Farzad
Shafiee, Gita
Azizi, Fereidoun
Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women
title Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women
title_full Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women
title_fullStr Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women
title_full_unstemmed Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women
title_short Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women
title_sort anthropometric predictors of incident type 2 diabetes mellitus in iranian women
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2813660/
https://www.ncbi.nlm.nih.gov/pubmed/19448363
http://dx.doi.org/10.4103/0256-4947.51788
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