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Discriminant models to estimate the body weight loss after a six-month long diet and exercise-based intervention
Miguel A Rojo-Tirado1, Pedro J Benito, Ana B Peinado
1Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences Technical University of Madrid, Madrid, Spain - ma.rojo@upm.es.
Background:
The main concern of the people who follow a weight loss program is the body weight loss, independently of the body composition. The aim of this study was to create a mathematical model able to discriminate the body weight change based on initial body composition variables.
Methods:
The study included 239 overweight and obese participants (18-50 years; Body Mass Index (BMI)>25 and <34.9 kg/m2). Participants performed an endrance, strength or a combined endurance and strength training three times per week, or followed the American College of Sports Medicine physical activity guidelines for body weight loss, during twenty-four weeks while having 25-30% caloric restriction. Two multivariate discriminant models were performed taking into account the groups below and above the mean body weight change.
Results:
The discriminant models obtained could discriminate the body weight change with a 65-70% of correct classification. BW, fat-free mass (FFM), and fat mass (FM) were shown to be the most discriminant variables for the discriminant models.
Conclusions:
People having higher FM and FFM at the beginning of an intervention will lose a greater amount of weight until the end of it.
