Literature DB >> 22296871

Body composition: why, when and for who?

Ronan Thibault1, Laurence Genton, Claude Pichard.   

Abstract

Body composition reflects nutritional intakes, losses and needs over time. Undernutrition, i.e. fat-free mass (FFM) loss, is associated with decreased survival, worse clinical outcome and quality of life, as well as increased therapy toxicity in cancer patients. In numerous clinical situations, such as sarcopenic obesity and chronic diseases, the measurement of body composition with available methods, such as dual-X ray absorptiometry, computerized tomography and bioelectrical impedance analysis, quantifies the loss of FFM, whereas body weight loss and body mass index only inconstantly reflect FFM loss. The measurement of body composition allows documenting the efficiency of nutrition support, tailoring the choice of disease-specific and nutritional therapies and evaluating their efficacy and putative toxicity. Easy-to-use body composition methods integrated to the routine of care allow sequential measurements for an initial nutritional assessment and objective patients follow-up. By allowing an earlier and objective management of undernutrition, body composition assessment could contribute to reduce undernutrition-induced morbidity, worsening of quality of life, and global health care costs by a timely nutrition intervention.
Copyright © 2011 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

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Year:  2012        PMID: 22296871     DOI: 10.1016/j.clnu.2011.12.011

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  43 in total

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Authors:  A Gába; M Přidalová
Journal:  Eur J Clin Nutr       Date:  2015-12-16       Impact factor: 4.016

2.  Comment to "age-related changes in body composition in a sample of Czech women aged 18-89 years: a cross-sectional study".

Authors:  Umut Safer; Ilker Tasci; Vildan Binay Safer; Huseyin Doruk
Journal:  Eur J Nutr       Date:  2013-08       Impact factor: 5.614

3.  Response to letter to the editor from Dr. Safer et al. regarding the article "age-related changes in body composition in a sample of Czech women aged 18-89 years: a cross-sectional study," published in European Journal of Nutrition.

Authors:  Aleš Gába; Miroslava Přidalová
Journal:  Eur J Nutr       Date:  2013-08       Impact factor: 5.614

4.  Proposal of new body composition prediction equations from bioelectrical impedance for Indonesian men.

Authors:  J Hastuti; M Kagawa; N M Byrne; A P Hills
Journal:  Eur J Clin Nutr       Date:  2016-06-29       Impact factor: 4.016

Review 5.  Designing drug regimens for special intensive care unit populations.

Authors:  Brian L Erstad
Journal:  World J Crit Care Med       Date:  2015-05-04

6.  Estimate of body composition by Hume's equation: validation with DXA.

Authors:  Vincenzo Carnevale; Pamela Angela Piscitelli; Rita Minonne; Valeria Castriotta; Cristiana Cipriani; Giuseppe Guglielmi; Alfredo Scillitani; Elisabetta Romagnoli
Journal:  Endocrine       Date:  2014-09-11       Impact factor: 3.633

7.  Utility of ultrasound for body fat assessment: validity and reliability compared to a multicompartment criterion.

Authors:  Abbie E Smith-Ryan; Malia N M Blue; Eric T Trexler; Katie R Hirsch
Journal:  Clin Physiol Funct Imaging       Date:  2016-12-16       Impact factor: 2.273

8.  Improving Medication Dosing in the Obese Patient.

Authors:  Brian L Erstad
Journal:  Clin Drug Investig       Date:  2017-01       Impact factor: 2.859

9.  Body composition assessment of Crohn's outpatients and comparison with gender- and age-specific multiple matched control pairs.

Authors:  A Molnár; Á A Csontos; I Kovács; Á D Anton; E Pálfi; P Miheller
Journal:  Eur J Clin Nutr       Date:  2017-06-28       Impact factor: 4.016

Review 10.  Cachexia in patients with oesophageal cancer.

Authors:  Poorna Anandavadivelan; Pernilla Lagergren
Journal:  Nat Rev Clin Oncol       Date:  2015-11-17       Impact factor: 66.675

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