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Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar

The state of Qatar suffers from diabetes epidemic due to obesity-associated metabolic syndrome. However, the prevalence of insulin resistance prior to obesity, which could play an important role in the high prevalence of diabetes, has not yet been described. This study aims to compare the prevalence...

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Autores principales: Elrayess, Mohamed A., Rizk, Nasser M., Fadel, Amina S., Kerkadi, Abdelhamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399794/
https://www.ncbi.nlm.nih.gov/pubmed/32679640
http://dx.doi.org/10.3390/ijerph17145088
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author Elrayess, Mohamed A.
Rizk, Nasser M.
Fadel, Amina S.
Kerkadi, Abdelhamid
author_facet Elrayess, Mohamed A.
Rizk, Nasser M.
Fadel, Amina S.
Kerkadi, Abdelhamid
author_sort Elrayess, Mohamed A.
collection PubMed
description The state of Qatar suffers from diabetes epidemic due to obesity-associated metabolic syndrome. However, the prevalence of insulin resistance prior to obesity, which could play an important role in the high prevalence of diabetes, has not yet been described. This study aims to compare the prevalence of insulin resistance in apparently healthy non-obese and obese participants from Qatar and identify the predictors of insulin resistance in different body mass index (BMI)-groups. In this cross-sectional study, 150 young healthy females from Qatar were dichotomized into four groups (underweight, normal weight, overweight and obese) based on their BMI. Anthropometric measures as well as fasting plasma levels of lipids, adipokines, blood glucose and insulin were recorded. The prevalence of insulin resistance as per homeostatic model assessment of insulin resistance (HOMA-IR) was estimated and differences between insulin sensitive and insulin resistant were compared. Linear models were used to identify predictors of insulin resistance in every BMI group. Prevalence of insulin resistance in non-obese healthy females from Qatar ranges between 7% and 37% and increases with BMI. Overall, predictors of insulin resistance in the Qatari population are triglycerides/high-density lipoprotein (HDL) ratio and free fat mass but vary according to the BMI group. The main predictors were triglycerides in normal weight, triglycerides/HDL in overweight and triglycerides/HDL and interleukin-6 (IL-6) in obese individuals. The high prevalence of insulin resistance in non-obese Qataris may partially explain diabetes epidemic. Larger studies are warranted to confirm these findings and identify underlying causes for insulin resistance in non-obese individuals in Qatar, aiming at targeted intervention before diabetes onset.
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spelling pubmed-73997942020-08-17 Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar Elrayess, Mohamed A. Rizk, Nasser M. Fadel, Amina S. Kerkadi, Abdelhamid Int J Environ Res Public Health Article The state of Qatar suffers from diabetes epidemic due to obesity-associated metabolic syndrome. However, the prevalence of insulin resistance prior to obesity, which could play an important role in the high prevalence of diabetes, has not yet been described. This study aims to compare the prevalence of insulin resistance in apparently healthy non-obese and obese participants from Qatar and identify the predictors of insulin resistance in different body mass index (BMI)-groups. In this cross-sectional study, 150 young healthy females from Qatar were dichotomized into four groups (underweight, normal weight, overweight and obese) based on their BMI. Anthropometric measures as well as fasting plasma levels of lipids, adipokines, blood glucose and insulin were recorded. The prevalence of insulin resistance as per homeostatic model assessment of insulin resistance (HOMA-IR) was estimated and differences between insulin sensitive and insulin resistant were compared. Linear models were used to identify predictors of insulin resistance in every BMI group. Prevalence of insulin resistance in non-obese healthy females from Qatar ranges between 7% and 37% and increases with BMI. Overall, predictors of insulin resistance in the Qatari population are triglycerides/high-density lipoprotein (HDL) ratio and free fat mass but vary according to the BMI group. The main predictors were triglycerides in normal weight, triglycerides/HDL in overweight and triglycerides/HDL and interleukin-6 (IL-6) in obese individuals. The high prevalence of insulin resistance in non-obese Qataris may partially explain diabetes epidemic. Larger studies are warranted to confirm these findings and identify underlying causes for insulin resistance in non-obese individuals in Qatar, aiming at targeted intervention before diabetes onset. MDPI 2020-07-15 2020-07 /pmc/articles/PMC7399794/ /pubmed/32679640 http://dx.doi.org/10.3390/ijerph17145088 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Elrayess, Mohamed A.
Rizk, Nasser M.
Fadel, Amina S.
Kerkadi, Abdelhamid
Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar
title Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar
title_full Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar
title_fullStr Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar
title_full_unstemmed Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar
title_short Prevalence and Predictors of Insulin Resistance in Non-Obese Healthy Young Females in Qatar
title_sort prevalence and predictors of insulin resistance in non-obese healthy young females in qatar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399794/
https://www.ncbi.nlm.nih.gov/pubmed/32679640
http://dx.doi.org/10.3390/ijerph17145088
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