Literature DB >> 22755342

Metabolic syndrome in type 2 diabetes: comparison of WHO, modified ATPIII & IDF criteria.

Asma Ahmed1, Talha Ehsan Khan, Tahira Yasmeen, Safia Awan, Najmul Islam.   

Abstract

OBJECTIVES: To determine the frequency of metabolic syndrome in type 2 diabetes according to three commonly used operational definitions {World Health Organization (WHO), National Cholesterol Education Program Adult Treatment Panel (NCEP ATP III) and International Diabetes Federation( IDF)}. To evaluate the agreement between these classifications in the Pakistani cohort.
METHODS: Data was collected retrospectively of 210 patients with type 2 diabetes visiting outpatient clinics of one of the large tertiary care hospitals at Karachi, Pakistan between June 2008 to November 2008.
RESULTS: The prevalence of metabolic syndrome was found to be 81.4% (WHO), 86.7 % (IDF) and 91.9 % (NCEP ATPIII). The degree of agreement (kappa statistic) was found to be highest among IDF & NCEP ATPIII (0.728) as compared to (0.436 & 0.417) between WHO & ATP and WHO & IDF respectively. The most significant predictors for metabolic syndrome were found out to be female gender OR= 8.74 95% CI 1.51-50.53, low HDL cholesterol levels OR = 0.89 95% CI 0.84-0.94 and high systolic blood pressure OR= 1.06 95% CI 1.009-1.11.
CONCLUSION: Our study results suggested that NCEP ATPIII and IDF are the most reliable criteria for diagnosing metabolic syndrome in type 2 diabetic patients, with NECP capturing more patients in comparison to IDF definition. The alarmingly high frequency of metabolic syndrome in type 2 diabetes found in this study suggests that primary prevention strategies should be initiated earlier and early in this ethnic group and our health care system should be geared up to cope with this deadly quartet.

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Year:  2012        PMID: 22755342

Source DB:  PubMed          Journal:  J Pak Med Assoc        ISSN: 0030-9982            Impact factor:   0.781


  10 in total

1.  Effect of Health Education Based on Integrative Therapy of Chinese and Western Medicine for Adult Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Study.

Authors:  Mai Shi; Zhao-Lan Liu; Yan-Bo Zhu; Mei-Yan Xu; Xue-Ying Duan; Hui-Mei Shi; Bo Jiang; Xiao-Mei Zhang; Xiao-Han Yu
Journal:  Chin J Integr Med       Date:  2015-12-19       Impact factor: 1.978

2.  Gender difference in components of metabolic syndrome among patients of type 2 diabetes.

Authors:  Muhammad Ahmad Alamgir; Riaz Ahmad Javid; Abdul Hameed; Irum Mustafa
Journal:  Pak J Med Sci       Date:  2015 Jul-Aug       Impact factor: 1.088

3.  Prevalence of metabolic syndrome in Nepalese type 2 diabetic patients according to WHO, NCEP ATP III, IDF and Harmonized criteria.

Authors:  Daya Ram Pokharel; Dipendra Khadka; Manoj Sigdel; Naval Kishor Yadav; Shreedhar Acharya; Ram Chandra Kafle; Pramod Shankar Shukla
Journal:  J Diabetes Metab Disord       Date:  2014-11-23

4.  Prevalence of metabolic syndrome in type 2 diabetes mellitus using NCEP-ATPIII, IDF and WHO definition and its agreement in Gwalior Chambal region of Central India.

Authors:  Dhananjay Yadav; Sunil Mahajan; Senthil Kumar Subramanian; Prakash Singh Bisen; Choon Hee Chung; G B K S Prasad
Journal:  Glob J Health Sci       Date:  2013-09-17

5.  Serum profile of cytokines and their genetic variants in metabolic syndrome and healthy subjects: a comparative study.

Authors:  Uzma Zafar; Saba Khaliq; Hafiz Usman Ahmad; Khalid Pervaiz Lone
Journal:  Biosci Rep       Date:  2019-02-01       Impact factor: 3.840

6.  Evaluation of Metabolic Syndrome and Its Associated Risk Factors in Type 2 Diabetes: A Descriptive Cross-Sectional Study at the Komfo Anokye Teaching Hospital, Kumasi, Ghana.

Authors:  Francis Agyemang-Yeboah; Benjamin Ackon Jnr Eghan; Max Efui Annani-Akollor; Eliezer Togbe; Sampson Donkor; Bright Oppong Afranie
Journal:  Biomed Res Int       Date:  2019-05-02       Impact factor: 3.411

7.  Effects of curcumin and/or coenzyme Q10 supplementation on metabolic control in subjects with metabolic syndrome: a randomized clinical trial.

Authors:  Abbas Ali Sangouni; Maryam Taghdir; Javad Mirahmadi; Mojtaba Sepandi; Karim Parastouei
Journal:  Nutr J       Date:  2022-10-03       Impact factor: 4.344

8.  The association between long working hours and the metabolic syndrome: evidences from the 5th Korean National Health and Nutrition Examination Survey of 2010 and 2012.

Authors:  Jae Uk Jeong; Man Joong Jeon; Joon Sakong
Journal:  Ann Occup Environ Med       Date:  2014-12-21

9.  Prevalence of Metabolic Syndrome in Overweight and Obese Patients and Their Measurement of Neck Circumference: A Cross-sectional Study.

Authors:  Ayesha A Hai; Sundus Iftikhar; Saba Latif; Fivzia Herekar; Sana Javed; Muhammad Junaid Patel
Journal:  Cureus       Date:  2019-11-10

Review 10.  Metabolic Syndrome, Cognitive Impairment and the Role of Diet: A Narrative Review.

Authors:  Matina Kouvari; Nathan M D'Cunha; Nikolaj Travica; Domenico Sergi; Manja Zec; Wolfgang Marx; Nenad Naumovski
Journal:  Nutrients       Date:  2022-01-13       Impact factor: 5.717

  10 in total

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