Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Nov;40(6):522-5.

The Prevalence of Metabolic Syndrome According to Different Criteria and its Associated Factors in Type 2 Diabetic Patients in Kerman, Iran

Affiliations

The Prevalence of Metabolic Syndrome According to Different Criteria and its Associated Factors in Type 2 Diabetic Patients in Kerman, Iran

Zohre Foroozanfar MSc et al. Iran J Med Sci. 2015 Nov.

Abstract

Metabolic syndrome is highly prevalent in type 2 diabetics and is a strong risk factor for cardiovascular diseases in such patients. The aim of this study was to determine the prevalence of metabolic syndrome according to the three criteria of ATPIII, IDF and the new criteria for metabolic syndrome diagnosis in Kerman, Iran. This cross-sectional study was performed on 950 diabetic type 2 patients. Data was analyzed by independent t-test, chi-square and logistic regression using the SPSS (revision 20) software. The prevalence of metabolic syndrome in Kerman was 73.4, 64.9, and 70.4%, according to the above criteria. Fasting blood sugar, gender, triglyceride, HDL, waist circumference, and systolic blood pressure were related to the prevalence of metabolic syndrome according to the above-mentioned criteria.The prevalence of metabolic syndrome is high in type 2 diabetic patients and the above-mentioned factors exacerbate the situation.

Keywords: Diabetes; Metabolic syndrome; Risk factors; Type 2.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Shows the prevalence of metabolic syndrome according to the three criteria among type 2 diabetics in different age groups.

References

    1. Katulanda P, Ranasinghe P, Jayawardana R, Sheriff R, Matthews DR. Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates. Diabetol Metab Syndr. 2012;4:24. doi: 10.1186/1758-5996-4-24. [ PMC Free Article] - DOI - PMC - PubMed
    1. Nolan CJ, Damm P, Prentki M. Type 2 diabetes across generations: from pathophysiology to prevention and management. Lancet. 2011;378:169–81. doi: 10.1016/S0140-6736(11)60614-4. - DOI - PubMed
    1. Dhanaraj E, Bhansali A, Jaggi S, Dutta P, Jain S, Tiwari P, et al. Predictors of metabolic syndrome in Asian north Indians with newly detected type 2 diabetes. Indian J Med Res. 2009;129:506–14. - PubMed
    1. Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet. 2005;365:1415–28. doi: 10.1016/S0140-6736(05)66378-7. - DOI - PubMed
    1. Basol G, Barutcuoglu B, Cakir Y, Ozmen B, Parildar Z, Kose T, et al. Diagnosing metabolic syndrome in type 2 diabetic Turkish patients: comparison of AHA/NHLBI and IDF definitions. Bratisl Lek Listy. 2011;112:253–9. - PubMed

LinkOut - more resources