Author/Authors :
Ashtary-Larky, Damoon Nutrition and Metabolic Diseases Research Center - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , Daneghian, Sevana Department of Nutrition - School of Paramedicine - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , Alipour, Meysam Nutrition and Metabolic Diseases Research Center - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , Rafiei, Hossein Exercise Metabolism and Inflammation Laboratory - School of Health and Exercise Sciences - University of British Columbia, Okanagan Campus, Kelowna, BC, Canada , Ghanavati, Matin Nutrition and Metabolic Diseases Research Center - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , Mohammadpour, Reza Department of Physical Education and sport science - Shushtar Branch Islamic Azad University, Shushtar, Iran , Kooti, Wesam Cellular and Molecular Research Center - Sabzevar University of Medical Sciences, Sabzevar, Iran , Ashtary-Larky, Pouya Nutrition and Metabolic Diseases Research Center - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , Afrisham, Reza Department of Clinical Biochemistry - Faculty of Medicine - Tehran University of Medical Sciences, Tehran, Iran
Abstract :
Background: The first-line strategy for the treatment of obesity is weight loss (WL) through decreasing calorie intake. However,
a diet that is capable of attenuating fat free mass decline following WL is preferred. Furthermore, it is required to choose proper
measurements and appropriate obesity-assessment indices to monitor weight and body composition during WL program.
Methods: A total of 68 adults with overweight and/or obesity underwent aWLprogram (rapid and slow WL). Dependent variables include:
weight, resting metabolic rate (RMR), body composition, and related measurements such as waist circumference (WC), waist
to height ratio (WHtR), body adiposity index (BAI), a body shape index (ABSI), fat mass to lean body mass (FM/LBM), and percentage
body fat (PBF).
Results: Obesity measurements decreased in both groups (all P < 0.05) while LBM and RMR decreased more in the rapid WL group
(P < 0.05). After age and sex adjustment, a robust correlation was observed between FM/LBM and PBF (r = 0.918), LBM% and PBF (r =
-0.949), LBM% and FM/LBM (r = -0.904), WHtR andWC(r = 0.986), and BAI% and HC (r = 0.986) (P < 0.001 for all correlations). FM has
the highest correlation with WHtR among other indices (r = 0.706).
Conclusions: Compared to fast WL, our data support that slow and gradual WL is more effective to improve body composition and
obesity-assessment indices. The robust relationship was observed between FM and WHtR, among other indices such as BMI or ABSI.
Therefore, in order to evaluate FM, where the FM is not measurable, the WHtR might be the reasonable index.
Keywords :
Waist-to-Height Ratio , Fat Mass , Nutrition , Weight Loss , Obesity
