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Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia
INTRODUCTION: Worldwide, metabolic syndrome is a common problem among T2DM patients. Even though the International Diabetes Federation recommended waist circumference as a diagnostic tool for metabolic syndrome, the appropriate indices and cut-off point remain controversial. OBJECTIVE: To assess obe...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185685/ https://www.ncbi.nlm.nih.gov/pubmed/32368122 http://dx.doi.org/10.2147/DMSO.S242792 |
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author | Zerga, Aregash Abebayehu Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tadesse, Sisay Eshete |
author_facet | Zerga, Aregash Abebayehu Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tadesse, Sisay Eshete |
author_sort | Zerga, Aregash Abebayehu |
collection | PubMed |
description | INTRODUCTION: Worldwide, metabolic syndrome is a common problem among T2DM patients. Even though the International Diabetes Federation recommended waist circumference as a diagnostic tool for metabolic syndrome, the appropriate indices and cut-off point remain controversial. OBJECTIVE: To assess obesity indices in identifying metabolic syndrome among type 2 diabetes mellitus patients in Dessie Referral Hospital, North east Ethiopia. METHODS: A hospital-based cross-sectional study was conducted among 363 consecutively selected T2DM in Dessie Referral Hospital from February to March 2017. Data were collected by interviewer-administered questionnaire. Height, weight, waist circumference, hip circumference, lipid profile, blood glucose levels and blood pressure were taken. Descriptive statistics were computed. Receiver operator characteristic curve analysis with a 95% confidence interval and p-value <0.05 was used to identify the discriminate ability of each index, while the optimal cut point of each index was determined by Youden’s index. RESULTS: A total of 330 study participants were included in the study. Based on ATP III definition, the magnitude of metabolic syndrome among T2DM patients was 59.4% (53.6–64.5%). Waist to height ratio (optimal cut point=0.54, AUC=0.85) and waist circumference (optimal cut point= 83 cm, AUC=0.75) were the best predictor of metabolic syndrome for women and men, respectively. For the entire study participant, waist to height ratio (optimal cut point=0.51, AUC=0.79) was the best predictor of metabolic syndrome among type 2 diabetes patients. CONCLUSION AND RECOMMENDATION: Waist to height ratio and waist circumference was the best predictor of metabolic syndrome for women and men, respectively. So, appropriate indices optimal cut-off point should be included to diagnose metabolic syndrome among T2DM. |
format | Online Article Text |
id | pubmed-7185685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-71856852020-05-04 Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia Zerga, Aregash Abebayehu Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tadesse, Sisay Eshete Diabetes Metab Syndr Obes Original Research INTRODUCTION: Worldwide, metabolic syndrome is a common problem among T2DM patients. Even though the International Diabetes Federation recommended waist circumference as a diagnostic tool for metabolic syndrome, the appropriate indices and cut-off point remain controversial. OBJECTIVE: To assess obesity indices in identifying metabolic syndrome among type 2 diabetes mellitus patients in Dessie Referral Hospital, North east Ethiopia. METHODS: A hospital-based cross-sectional study was conducted among 363 consecutively selected T2DM in Dessie Referral Hospital from February to March 2017. Data were collected by interviewer-administered questionnaire. Height, weight, waist circumference, hip circumference, lipid profile, blood glucose levels and blood pressure were taken. Descriptive statistics were computed. Receiver operator characteristic curve analysis with a 95% confidence interval and p-value <0.05 was used to identify the discriminate ability of each index, while the optimal cut point of each index was determined by Youden’s index. RESULTS: A total of 330 study participants were included in the study. Based on ATP III definition, the magnitude of metabolic syndrome among T2DM patients was 59.4% (53.6–64.5%). Waist to height ratio (optimal cut point=0.54, AUC=0.85) and waist circumference (optimal cut point= 83 cm, AUC=0.75) were the best predictor of metabolic syndrome for women and men, respectively. For the entire study participant, waist to height ratio (optimal cut point=0.51, AUC=0.79) was the best predictor of metabolic syndrome among type 2 diabetes patients. CONCLUSION AND RECOMMENDATION: Waist to height ratio and waist circumference was the best predictor of metabolic syndrome for women and men, respectively. So, appropriate indices optimal cut-off point should be included to diagnose metabolic syndrome among T2DM. Dove 2020-04-23 /pmc/articles/PMC7185685/ /pubmed/32368122 http://dx.doi.org/10.2147/DMSO.S242792 Text en © 2020 Zerga et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zerga, Aregash Abebayehu Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tadesse, Sisay Eshete Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia |
title | Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia |
title_full | Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia |
title_fullStr | Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia |
title_full_unstemmed | Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia |
title_short | Obesity Indices for Identifying Metabolic Syndrome Among Type Two Diabetes Patients Attending Their Follow-Up in Dessie Referral Hospital, North east Ethiopia |
title_sort | obesity indices for identifying metabolic syndrome among type two diabetes patients attending their follow-up in dessie referral hospital, north east ethiopia |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185685/ https://www.ncbi.nlm.nih.gov/pubmed/32368122 http://dx.doi.org/10.2147/DMSO.S242792 |
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