A Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria
Temesgen Bizuayehu Wube,1 Metsihet Mohammed Nuru,2 Adane Tesfaye Anbese3 1School of Medical Laboratory Science, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia; 2Hawassa University Comprehensive Specialized Hospital, Hawassa, Ethiopia; 3Department of Public Health, Sch...
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oai:doaj.org-article:6fa4177472d84e11907a68bbd0215dc22021-12-02T05:32:48ZA Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria1178-7007https://doaj.org/article/6fa4177472d84e11907a68bbd0215dc22019-09-01T00:00:00Zhttps://www.dovepress.com/a-comparative-prevalence-of-metabolic-syndrome-among-type-2-diabetes-m-peer-reviewed-article-DMSOhttps://doaj.org/toc/1178-7007Temesgen Bizuayehu Wube,1 Metsihet Mohammed Nuru,2 Adane Tesfaye Anbese3 1School of Medical Laboratory Science, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia; 2Hawassa University Comprehensive Specialized Hospital, Hawassa, Ethiopia; 3Department of Public Health, School of Public Health, College of Medicine and Health Science, Dilla University, Dilla, EthiopiaCorrespondence: Temesgen Bizuayehu WubeSchool of Medical Laboratory Science, College of Medicine and Health Sciences, Hawassa University, P.O. Box:1560, Hawassa, EthiopiaTel +251 916604551Email temesgenbizuayehu2@gmail.comBackground: Recognition of MetS in type two diabetic patients is important in starting the appropriate preventive and therapeutic measures. The commonly used definitions of MetS have similarities and discrepancies. Different definitions defined metabolic syndrome differently. IDF, WHO, NCEP-ATP III, and the harmonized definitions were used frequently to determine the prevalence of metabolic syndrome.Objectives: This study was aimed to investigate the prevalence of MetS and its associated factors among patients with type 2 Diabetes Mellitus using four definitions and to identify the concordance and the difference of these four definitions.Methods: A cross-sectional study was conducted from February 28 to May 30/2017 at Hawassa university comprehensive specialized hospital. The study involved 314 study participants selected by simple random sampling technique. Logistic regression was used to determine associated factors of metabolic syndrome, and kappa statistics was used to determine the concordance between different definitions of metabolic syndrome. In any cases, a p-value of <0.05 was considered to be statistically significant.Result: The prevalence of metabolic syndrome according to IDF, WHO, harmonized, and NCEP-ATP III diagnostic criteria was 59.9%, 31.2%, 65.6%, and 70.1%, respectively. Our study found the maximum agreement between IDF and NCEP criteria (K=0.54, P<0.001) and IDF and Harmonized(K=0.65, P<0.001). Uric acid level was associated factor of metabolic syndrome by all the four definitions, and total cholesterol was associated factors by the three definitions.Conclusion: The prevalence of metabolic syndrome varies based on the definition used and the highest prevalence of MetS was observed with NCEP-ATP III and the different types of criteria do not always diagnose the same group of individuals.Keywords: type 2 DM, metabolic syndrome, Hawassa, EthiopiaBizuayehu Wube TMohammed Nuru MTesfaye Anbese ADove Medical PressarticleType 2 DMMetabolic syndromeHawassaEthiopiaSpecialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 12, Pp 1877-1887 (2019) |
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Type 2 DM Metabolic syndrome Hawassa Ethiopia Specialties of internal medicine RC581-951 |
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Type 2 DM Metabolic syndrome Hawassa Ethiopia Specialties of internal medicine RC581-951 Bizuayehu Wube T Mohammed Nuru M Tesfaye Anbese A A Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria |
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Temesgen Bizuayehu Wube,1 Metsihet Mohammed Nuru,2 Adane Tesfaye Anbese3 1School of Medical Laboratory Science, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia; 2Hawassa University Comprehensive Specialized Hospital, Hawassa, Ethiopia; 3Department of Public Health, School of Public Health, College of Medicine and Health Science, Dilla University, Dilla, EthiopiaCorrespondence: Temesgen Bizuayehu WubeSchool of Medical Laboratory Science, College of Medicine and Health Sciences, Hawassa University, P.O. Box:1560, Hawassa, EthiopiaTel +251 916604551Email temesgenbizuayehu2@gmail.comBackground: Recognition of MetS in type two diabetic patients is important in starting the appropriate preventive and therapeutic measures. The commonly used definitions of MetS have similarities and discrepancies. Different definitions defined metabolic syndrome differently. IDF, WHO, NCEP-ATP III, and the harmonized definitions were used frequently to determine the prevalence of metabolic syndrome.Objectives: This study was aimed to investigate the prevalence of MetS and its associated factors among patients with type 2 Diabetes Mellitus using four definitions and to identify the concordance and the difference of these four definitions.Methods: A cross-sectional study was conducted from February 28 to May 30/2017 at Hawassa university comprehensive specialized hospital. The study involved 314 study participants selected by simple random sampling technique. Logistic regression was used to determine associated factors of metabolic syndrome, and kappa statistics was used to determine the concordance between different definitions of metabolic syndrome. In any cases, a p-value of <0.05 was considered to be statistically significant.Result: The prevalence of metabolic syndrome according to IDF, WHO, harmonized, and NCEP-ATP III diagnostic criteria was 59.9%, 31.2%, 65.6%, and 70.1%, respectively. Our study found the maximum agreement between IDF and NCEP criteria (K=0.54, P<0.001) and IDF and Harmonized(K=0.65, P<0.001). Uric acid level was associated factor of metabolic syndrome by all the four definitions, and total cholesterol was associated factors by the three definitions.Conclusion: The prevalence of metabolic syndrome varies based on the definition used and the highest prevalence of MetS was observed with NCEP-ATP III and the different types of criteria do not always diagnose the same group of individuals.Keywords: type 2 DM, metabolic syndrome, Hawassa, Ethiopia |
format |
article |
author |
Bizuayehu Wube T Mohammed Nuru M Tesfaye Anbese A |
author_facet |
Bizuayehu Wube T Mohammed Nuru M Tesfaye Anbese A |
author_sort |
Bizuayehu Wube T |
title |
A Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria |
title_short |
A Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria |
title_full |
A Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria |
title_fullStr |
A Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria |
title_full_unstemmed |
A Comparative Prevalence Of Metabolic Syndrome Among Type 2 Diabetes Mellitus Patients In Hawassa University Comprehensive Specialized Hospital Using Four Different Diagnostic Criteria |
title_sort |
comparative prevalence of metabolic syndrome among type 2 diabetes mellitus patients in hawassa university comprehensive specialized hospital using four different diagnostic criteria |
publisher |
Dove Medical Press |
publishDate |
2019 |
url |
https://doaj.org/article/6fa4177472d84e11907a68bbd0215dc2 |
work_keys_str_mv |
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