Author/Authors :
Motamed, Nima Zanjan University of Medical Sciences - Department of Social Medicine , Ajdarkosh, Hossein Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center , Darkahian, Majid Iran University of Medical Sciences - Department of Cardiology , Zamani, Farhad Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center , Rabiee, Behnam Iran University of Medical Sciences - Department of Ophtalmology , Faraji, Amir Hossein Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center , Nikkhah, Mehdi Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center , Khoonsari, Mahmood Reza Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center , Maadi, Mansooreh Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center , Safarnezhad Tameshkel, Fahimeh Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center , Keyvani, Hossein Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center and Department of Virology , Karbalaie Niya, Mohammad Hadi Iran University of Medical Sciences - Gastrointestinal and Liver Diseases Research Center
Abstract :
BACKGROUND: Some recent studies reported an inverse association between obesity and risk of
cardiovascular diseases (CVD), heart failure related mortality rate, outcomes of myocardial
infarction (MI), and the consequences of cardiovascular events interventions; this inverse
association was named the obesity paradox. The present study was conducted with the aim to
determine whether the obesity paradox will be detectable when the 10-year risk of CVD is
estimated using CVD risk assessment tools.
METHODS: The related data of 2910 subjects aged 40-74 years obtained in our cohort study that
was carried out among 6140 subjects in Amol, in northern Iran, was included in this study. CVD
risk assessment tools were used to estimate the 10-year risk of CVD. Obesity was evaluated using
4 indices, including waist circumference (WC), waist to height ratio (WHtR), waist to hip ratio
(WHR), and body mass index (BMI). The receiver operating characteristic (ROC) curve analysis
was utilized to evaluate the discriminatory power of obesity indices for 10-year risk of CVD.
RESULTS: Categorizing the participants to with and without obesity according to BMI showed that a
significantly higher proportion of men with obesity had a 10-year risk of CVD ≥ 7.5% and ≥ 10%
according to American College of Cardiology/American Heart Association (ACC/AHA) and the
Framingham approaches, respectively. A higher proportion of women without obesity had a 10-year
risk of CVD ≥ 7.5% than women with obesity based on the ACC/AHA equation (28.54% vs. 24.15%;
P = 0.0707). BMI had a non-significant AUC (< 0.5) according to the the ACC/AHA equation.
CONCLUSION: BMI showed a weak and non-significant inverse association with 10-year risk of
CVD estimated using pooled cohort equations of ACC/AHA in women. However, this result
cannot directly provide enough evidence for the obesity paradox.
Keywords :
Obesity , Cardiovascular Diseases , Risk Assessment , Body Mass Index