National cholesterol education program risk factors

Carlos Lorenzo showed that the area under the curve of a model containing age, sex, ethnic origin, family history of diabetes, and two-hour fasting glucose values increased by adding either modified ATPIII 0. The MS only based on the IDF definition, independent from age and sex, was associated with angina pectoris. As the necessary factor in IDF definition is abdominal obesity, the differences in associations could be a result of abdominal obesity and its related insulin resistance.

Although a strong association between DM and also angina pectoris and MS was detected in this study, this relation should be evaluated in future prospective studies. This study showed that increased age and metabolic syndrome were the most significant and relevant factors of diabetes mellitus, especially when using the IDF criteria for definition of the metabolic syndrome.

Also male sex, increased age, and only the IDF definition of the metabolic syndrome were the most significant and relevant factors of stable angina in 20 — year-olds in the Yazd urban population. We appreciate the cooperation of the Yazd Heart Research Center personnel and our participants in this study. Source of Support: Nil. Conflict of Interest: None declared.

National Center for Biotechnology Information , U. Int J Prev Med. Author information Article notes Copyright and License information Disclaimer. Correspondence to: Dr. Received Jul 8; Accepted Oct 4. This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.

This article has been cited by other articles in PMC. Abstract Background: A cluster of risk factors for cardiovascular diseases and type 2 diabetes mellitus, which occur together more often than by chance alone, have been known as the metabolic syndrome. Methods: This study was carried out in an urban population, aged 20 to 74 years, from Yazd, a city in the center of Iran.

Conclusion: This study showed that increased age and metabolic syndrome are the most important relevant factors for diabetes mellitus, especially by using the IDF criteria for definition of the metabolic syndrome. Keywords: Diabetes mellitus, International diabetes federation, metabolic syndrome.

Data collection The participants were invited via mail, were informed about the study and the content of the interview.

Definition of conventional risk factors[ 3 , 4 ] Hypertension was defined as: Systolic BP equal and over mmHg or diastolic BP equal and over 90 mmHg on two different occasions or taking antihypertensive medication. Statistical analysis Logistic regression analysis was used to assess the association of the metabolic syndrome and conventional risk factors, such as, hypertension, hyperlipidemia, obesity, smoking, with diabetes mellitus, and coronary artery disease.

All statistical analyses were performed using SPSS version Open in a separate window. Table 2 The prevalence of various CVD risk factors in study participants after adjustment for age and sex.

Figure 1. Table 4 The logistic regression results of the prediction value of two definitions of the metabolic syndrome for diabetes mellitus. Table 5 The logistic regression results of the prediction value of two definitions of the metabolic syndrome for angina pectoris. Footnotes Source of Support: Nil. Factor analysis of metabolic syndrome using directly measured insulin sensitivity: The Insulin Resistance Atherosclerosis Study.

The metabolic syndrome. Alwan A, King H, editors. Department of Noncommunicable Disease Surveillance. Geneva: World Health Organization; Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome.

Diabetes Metab. American College of Endocrinology position statement on the insulin resistance syndrome. Endocr Pract. Adult treatment panel III but not international diabetes federation criteria of the metabolic syndrome predict clinical cardiovascular events in subjects who underwent coronary angiography.

Diabetes Care. Arq Bras Cardiol. Risk factors for coronary artery disease in Isfahan, Iran. Euro J Public Health. The performance of the rose angina questionnaire in south Asian and European origin population: A comparative study in Newcastle, UK. Int J Epidemiol. A comparison of applicability in three diagnostic criteria of metabolic syndrome in Jiangsu population.

Prevalence of metabolic syndrome among Chilean adults. Rev Med Chil. Acta Med Port. Comparison of applicability in three diagnostic criteria of metabolic syndrome in familial type 2 diabetes pedigrees.

Ann Acad Med Singapore. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study.

The national cholesterol education program—adult treatment panel III, international diabetes federation, and world health organization definitions of the metabolic syndrome as predictors of incident cardiovascular disease and diabetes metabolic syndrome as a disease marker.

Diabetes Res Clin Pract. Impact of metabolic syndrome criteria on cardiovascular disease risk in people with newly diagnosed type 2 diabetes. The Metabolic Syndrome is an independent predictor of cardiovascular disease in Type 2 diabetic subjects.

Prospective data from the Verona Diabetes Complications Study. Diabetes Med. Support Center Support Center. External link. Please review our privacy policy.

Over an average of Moreover, in the primary prevention population of participants ie, those without diabetes or cardiovascular disease at baseline , deaths occurred 50 from cardiovascular disease. In the primary prevention population, the only significant association adjusted for age, gender, and ethnic group was between NCEP-MetS and cardiovascular mortality hazard ratio [HR], 2.

In the general population, all-cause mortality HRs were 1. Furthermore, for cardiovascular mortality, there was evidence that gender modified the predictive ability of the MetS.