z-logo
open-access-imgOpen Access
How to Estimate Fat Mass in Overweight and Obese Subjects
Author(s) -
Lorenzo M. Donini,
Eleonora Poggiogalle,
Valeria del Balzo,
Carla Lubrano,
Milena Anna Faliva,
Annalisa Opizzi,
Simone Perna,
Alessandro Pinto,
Mariangela Rondanelli
Publication year - 2013
Publication title -
international journal of endocrinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.875
H-Index - 60
eISSN - 1687-8345
pISSN - 1687-8337
DOI - 10.1155/2013/285680
Subject(s) - medicine , overweight , body mass index , obesity , adiponectin , anthropometry , leptin , endocrinology , waist , dual energy x ray absorptiometry , body fat percentage , insulin resistance , osteoporosis , bone mineral
Background . The prevalence of overweight and obesity is increasing and represents a primary health concern. Body composition evaluation is rarely performed in overweight/obese subjects, and the diagnosis is almost always achieved just considering body mass index (BMI). In fact, whereas BMI can be considered an important tool in epidemiological surveys, different papers stated the limitations of the use of BMI in single individuals. Aim . To assess the determinants of body composition in overweight and obese subjects. Methods. In 103 overweight or obese subjects (74 women, aged 41.5 ± 10 years, and 29 men, aged 43.8 ± 8 years), a multidimensional evaluation was performed including the assessment of body composition using Dual Energy X-Ray Absorptiometry (DXA), anthropometry, bioimpedance analysis (BIA), and biochemical parameters (total cholesterol, triacylglycerol, HDL- and LDL-cholesterol, free fatty acids and glycerol, glucose, insulin, C-reactive protein, plasma acylated and unacylated ghrelin, adiponectin, and leptin serum levels). Results. BMI does not represent the main predictor of FM estimated by DXA; FM from BIA and hip circumference showed a better association with FM from DXA. Moreover, models omitting BMI explained a greater part of variance. These data are confirmed by the predictive value analysis where BMI showed a performance similar to a “coin flip.”

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom