Niloufar Rasaei1, Atieh Mirzababaei1, Hana Arghavani1, Somayeh Tajik1, Seyed Ali Keshavarz1, Mir Saeed Yekaninejad2, Hossein Imani1, Khadijeh Mirzaei3. 1. Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran. 2. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. 3. Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran. Electronic address: mirzaei_kh@tums.ac.ir.
Abstract
AIM: Metabolically Healthy Obese (MHO) is called to obese people that their insulin sensitivity, lipid profiles and inflammatory profiles are favorable, and there are no signs of hypertension and cardio-metabolic diseases. The metabolically unhealthy obese (MUHO) is the opposite. A Body Shape Index (ABSI) is a marker to identifying abdominal obesity that is derived from weight, height and waist circumference (WC). Several studies have reported ABSI is associated with diabetes, metabolic syndrome, hypertension and higher mortality rate. MATERIALS AND METHODS: A total of 305 overweight and obese women were included in the current comparative cross-sectional study. Body composition was measured using body composition analyzer. Blood samples were obtained. The usual food intake of evaluated through the use of a semi-quantitative food frequency questionnaire. RESULTS: The results of this study revealed that there is a significant relationship between ABSI and MHO and MUHO (p = 0.04) and area under the ROC curve was 0.60. Also there is a significant relationship between BMI, fat mass index (FMI), free fat mass index (FFMI), neck circumference (NC), WC, fat mass (FM) and metabolic healthy status (MHS). The largest area under the ROC curve belonged to NC, WC, FM and BMI (0.66). CONCLUSION: The findings of this study suggest that there is a significant relationship between ABSI, BMI, FMI, FFMI, NC, WC, FM and MHS. The largest area under the ROC curve was related to the NC, WC, FM and BMI not ABSI, that means NC, WC, FM and BMI have maximum sensitivity and specificity.
AIM: Metabolically Healthy Obese (MHO) is called to obesepeople that their insulin sensitivity, lipid profiles and inflammatory profiles are favorable, and there are no signs of hypertension and cardio-metabolic diseases. The metabolically unhealthy obese (MUHO) is the opposite. A Body Shape Index (ABSI) is a marker to identifying abdominal obesity that is derived from weight, height and waist circumference (WC). Several studies have reported ABSI is associated with diabetes, metabolic syndrome, hypertension and higher mortality rate. MATERIALS AND METHODS: A total of 305 overweight and obesewomen were included in the current comparative cross-sectional study. Body composition was measured using body composition analyzer. Blood samples were obtained. The usual food intake of evaluated through the use of a semi-quantitative food frequency questionnaire. RESULTS: The results of this study revealed that there is a significant relationship between ABSI and MHO and MUHO (p = 0.04) and area under the ROC curve was 0.60. Also there is a significant relationship between BMI, fat mass index (FMI), free fat mass index (FFMI), neck circumference (NC), WC, fat mass (FM) and metabolic healthy status (MHS). The largest area under the ROC curve belonged to NC, WC, FM and BMI (0.66). CONCLUSION: The findings of this study suggest that there is a significant relationship between ABSI, BMI, FMI, FFMI, NC, WC, FM and MHS. The largest area under the ROC curve was related to the NC, WC, FM and BMI not ABSI, that means NC, WC, FM and BMI have maximum sensitivity and specificity.
Authors: Ana Carla Leocadio de Magalhães; Vilma Fernandes Carvalho; Sabrina Pereira da Cruz; Andrea Ramalho Journal: Int J Environ Res Public Health Date: 2022-08-20 Impact factor: 4.614
Authors: Maud Alligier; Romain Barrès; Ellen E Blaak; Yves Boirie; Jildau Bouwman; Paul Brunault; Kristina Campbell; Karine Clément; I Sadaf Farooqi; Nathalie J Farpour-Lambert; Gema Frühbeck; Gijs H Goossens; Jorg Hager; Jason C G Halford; Hans Hauner; David Jacobi; Chantal Julia; Dominique Langin; Andrea Natali; Martin Neovius; Jean Michel Oppert; Uberto Pagotto; Antonio L Palmeira; Helen Roche; Mikael Rydén; André J Scheen; Chantal Simon; Thorkild I A Sorensen; Luc Tappy; Hannele Yki-Järvinen; Olivier Ziegler; Martine Laville Journal: Obes Facts Date: 2020-01-16 Impact factor: 3.942