Rasaei N, Mirzababaei A, Arghavani H, Keshavarz A, Yekaninejad S, Imani H et al . The comparison of sensitivity and specificity of anthropometric measurements in predicting the risk of metabolic and cardiovascular diseases in obese and overweight women referring to Tehran health care centers. RJMS 2019; 25 (12) :130-139
URL:
http://rjms.iums.ac.ir/article-1-5439-en.html
Tehran University of Medical Sciences, Tehran, Iran , mina_mirzaei101@yahoo.com
Abstract: (3355 Views)
Background: Obesity is a mild systemic inflammation of which to be assessed various parameters such as body mass index (BMI), waist circumference, neck and fat mass index are used, and to assess metabolic and cardiovascular diseases different blood factors such as triglyceride (TG), low density lipoprotein (LDL) and C-reactive protein (hs-CRP) are used. The main goal of this study was to compare the sensitivity and specificity of body composition measurement to predict the risk of metabolic and cardiovascular diseases in obese and overweight women.
Methods: This study was conducted on 305 obese and overweight women. In this cross-sectional study, blood sample was received. The body composition was measured by the body composition analyzer. The usual food intake was obtained by using food frequency questionnaire.
Results: The results of this study showed that between BMI, neck and waist circumference with risk factors of metabolic and cardiovascular diseases including TG, LDL, hs-CRP and insulin resistance index (HOMA-IR) have a significant relationship (p<0.05). Also, the largest surface under the rock curve belonged to the neck circumference association with HOMA-IR (A= 0.76).
Conclusion: There is a significant relationship between body composition measurement in predicting the risk of metabolic and cardiovascular diseases in obese and overweight women. The most sensitivity and specificity was the prediction of the risk factors of metabolic and cardiovascular diseases related to the neck circumference, fat mass index and fat mass.
Type of Study:
Research |
Subject:
Nutrition Sciences