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Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution
OBJECTIVE: The amount of lean and fat tissues in different body compartments is likely to drive the cardiovascular risk. The longitudinal effects of changes of lean and fat mass, particularly following weight loss programs, cannot be reliably identified by the sole measurement of anthropometry. We d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750624/ https://www.ncbi.nlm.nih.gov/pubmed/31555464 http://dx.doi.org/10.1259/bjrcr.20170078 |
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author | Ponti, Federico Plazzi, Andrea Guglielmi, Giuseppe Marchesini, Giulio Bazzocchi, Alberto |
author_facet | Ponti, Federico Plazzi, Andrea Guglielmi, Giuseppe Marchesini, Giulio Bazzocchi, Alberto |
author_sort | Ponti, Federico |
collection | PubMed |
description | OBJECTIVE: The amount of lean and fat tissues in different body compartments is likely to drive the cardiovascular risk. The longitudinal effects of changes of lean and fat mass, particularly following weight loss programs, cannot be reliably identified by the sole measurement of anthropometry. We discuss this problem on the basis of data collected in obese females with the use of dual-energy X-ray absorptiometry (DXA), anthropometry and laboratory. METHODS: We present longitudinal data in six obese females (three pairs—weight stable, weight loss, weight increase) assigned to a medical treatment. All patients underwent whole-body scan (Lunar iDXA, GE Healthcare, WI) and laboratory analysis (blood fasting glucose, total low-density lipoprotein and high-density lipoprotein cholesterol, triglycerides) before treatment and after 12 months. Fat mass and non-bone lean mass were assessed at whole-body and regional levels. Android visceral adipose tissue was estimated by a recently validated software. RESULTS: The most common anthropometric measures (body mass index, waist circumference) were totally ineffective in documenting the changes in body composition in 12 month follow-up, whereas DXA could detect regional changes, which were paralleled in part by changes in biochemical indices. CONCLUSION: Serial DXA measurements could provide a comprehensive assessment of body compartments, independent of changes in classic anthropometry (body mass index and waist circumference), identifying a significant redistribution of lean and fat mass and providing clues to explain changes in cardiovascular risk profile. |
format | Online Article Text |
id | pubmed-6750624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The British Institute of Radiology. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67506242019-09-25 Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution Ponti, Federico Plazzi, Andrea Guglielmi, Giuseppe Marchesini, Giulio Bazzocchi, Alberto BJR Case Rep Case Review OBJECTIVE: The amount of lean and fat tissues in different body compartments is likely to drive the cardiovascular risk. The longitudinal effects of changes of lean and fat mass, particularly following weight loss programs, cannot be reliably identified by the sole measurement of anthropometry. We discuss this problem on the basis of data collected in obese females with the use of dual-energy X-ray absorptiometry (DXA), anthropometry and laboratory. METHODS: We present longitudinal data in six obese females (three pairs—weight stable, weight loss, weight increase) assigned to a medical treatment. All patients underwent whole-body scan (Lunar iDXA, GE Healthcare, WI) and laboratory analysis (blood fasting glucose, total low-density lipoprotein and high-density lipoprotein cholesterol, triglycerides) before treatment and after 12 months. Fat mass and non-bone lean mass were assessed at whole-body and regional levels. Android visceral adipose tissue was estimated by a recently validated software. RESULTS: The most common anthropometric measures (body mass index, waist circumference) were totally ineffective in documenting the changes in body composition in 12 month follow-up, whereas DXA could detect regional changes, which were paralleled in part by changes in biochemical indices. CONCLUSION: Serial DXA measurements could provide a comprehensive assessment of body compartments, independent of changes in classic anthropometry (body mass index and waist circumference), identifying a significant redistribution of lean and fat mass and providing clues to explain changes in cardiovascular risk profile. The British Institute of Radiology. 2019-03-14 /pmc/articles/PMC6750624/ /pubmed/31555464 http://dx.doi.org/10.1259/bjrcr.20170078 Text en © 2019 The Authors. Published by the British Institute of Radiology This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Case Review Ponti, Federico Plazzi, Andrea Guglielmi, Giuseppe Marchesini, Giulio Bazzocchi, Alberto Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution |
title | Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution |
title_full | Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution |
title_fullStr | Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution |
title_full_unstemmed | Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution |
title_short | Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution |
title_sort | body composition, dual-energy x-ray absorptiometry and obesity: the paradigm of fat (re)distribution |
topic | Case Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750624/ https://www.ncbi.nlm.nih.gov/pubmed/31555464 http://dx.doi.org/10.1259/bjrcr.20170078 |
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