@ARTICLE{Mohammadifard, author = {Sajjadi, Firoozeh and Noori Emamzadehie, Fatemeh and Mohammadifard, Noushin and Maghroon, Maryam and Alikhasi, Hasan and Ireji, Farhade and Ehteshami, Mohamad Shahram and }, title = {Cardiovascular diseases risk factors in people with normal body mass index and waist circumference}, volume = {20}, number = {3}, abstract ={Background and Aim: Considering the importance of obesity and regarding that only few studies in the field of normal anthropometrics are available in the country, the present .study was conducted to survey cardiovascular diseases (CVD) risk factors in people with normal body mass index and waste circumference. Materials and Methods: Data of this cross-sectional study was obtained from the 1st phase of Isfahan Healthy Heart Program (IHHP), which is a communo-intervening plan on 3718 individuals aged over 19 years, having normal Body Mass Index (BMI) and waist circumference (WC) in Isfahan, Najaf-abad, and Arak. In order to evaluate the association between the quartiles of BMI and WC with CVD risk factors, multiple logistic regression was applied. Results: Out of the population of the study, 2859 were males and 859 females with mean age 34.29±14.29 yrs. The odd ratio (ORs) of dislipidemia in the biggest quartile of BMI in males and females was 1.84 [1.45-2.33] (P<0.001) and 1.56[1.05-2.30] (P<0.05), respectively. Odds ratio of at least two risk factors in the highest W.C. quartile was 2/6 [1.45-4.65] (P=0/001). and In men, the odds ratio of at least one risk factor in the highest WC and BMI quartile were 1.42 [1.12-1.817] (P=0.001) and 1.78[1.90-2.27] (P=0.002), respectively compared with the first quartile. Conclusion: Although normal borderline levels of BMI and WC are used to predict CVD risk factors, but lower borderline levels of these Indexes can also be referred to as a CVD risk predictor. }, URL = {http://journal.bums.ac.ir/article-1-1364-en.html}, eprint = {http://journal.bums.ac.ir/article-1-1364-en.pdf}, journal = {Journal of Birjand University of Medical Sciences}, doi = {}, year = {2013} }