Interest of body composition assessment: from theory to clinical application

Main Article Content

Khadidja Bessaid
Mouna Mezoued
Malha Azzouz
Djamila Meskine

Abstract

Assessment of body composition is a cornerstone of modern clinical practice in nutrition, endocrinology, and geriatrics. While body mass index (BMI) remains the most widely used tool for assessing body size, it fails to distinguish between fat mass and lean mass or to evaluate their regional distribution. Body composition analysis provides a more pathophysiological view of nutritional status by quantifying the main body compartments: fat mass, lean mass, total body water, and bone mineral content. Thanks to technological advances (bioelectrical impedance, dual-energy X-ray absorptiometry, magnetic resonance imaging, etc.), this approach has become an essential tool for detecting undernutrition, sarcopenia, or sarcopenic obesity, and for guiding personalized patient management.

Article Details

Section

Focus

How to Cite

Interest of body composition assessment: from theory to clinical application. (2025). Medical Focus Journal, 3(2). https://journals.univ-tlemcen.dz/MFJ/index.php/MFJ/article/view/152

References

[1] Shah NR, Braverman ER. Measuring adiposity in patients: the utility of body mass index (BMI), percent body fat, and leptin. PLoS One 2012; 7: e33308.

[2] Blüher M. Metabolically healthy obesity. Endocr Rev 2020; 41: 405–20.

[3] Dramé M, Godaert L. The obesity paradox and mortality in older adults: a systematic review. Nutrients 2023; 15: 1780.

[4] Oreno MAAM. Étude de la composition corporelle par impédancemétrie sur des adultes et des enfants sains et pathologiques [thèse de doctorat]. Compiègne (FR): Université de Technologie de Compiègne; 2007.

[5] Sergi G, Bonometto P, Coin A, Enzi G. Body composition: physiology, pathophysiology and methods of evaluation. In: Cachexia and Wasting: A Modern Approach. Milano (IT): Springer; 2007. p. 175–83.

[6] Prado CM, Heymsfield SB, Müller MJ, Nisoli E, Ofaiche J, Baracos VE et al. Methodological standards for body composition—an expert-endorsed guide for research and clinical applications: levels, models, and terminology. Am J Clin Nutr 2025; 122: 384–91.

[7] Mabiama G. Évaluation de l’état nutritionnel des personnes âgées au Cameroun et facteurs associés [thèse de doctorat]. Limoges (FR) / Douala (CM): Université de Limoges; Université de Douala; 2021.

[8] Kuriyan R. Body composition: a review. Indian J Med Res 2018; 148: 648–58.

[9] Lloret-Linares C, Oppert JM. La mesure de la composition corporelle: nouveaux aspects. Sang Thromb Vaiss 2009; 21: 232–9.

[10] Peterson MJ, Czerwinski SA, Siervogel RM. Development and validation of skinfold-thickness prediction equations with a four-compartment model. Am J Clin Nutr 2003; 77: 1186–91.

[11] Landi F, Onder G, Russo A, Liperoti R, Tosi A, Barillaro C et al. Calf circumference, frailty and physical performance among older adults living in the community. Clin Nutr 2014; 33: 539–44.

[12] Lemos T, Gallagher D. Current body composition measurement techniques. Curr Opin Endocrinol Diabetes Obes 2017; 24: 310–4.

[13] Van Loan MD, Mayclin PL. Body composition assessment: dual-energy X-ray absorptiometry (DEXA) compared to reference methods. Eur J Clin Nutr 1992; 46: 125–30.

[14] Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruinsma N, Cederholm T et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 2019; 48: 16–31.

[15] Sergi G, De Rui M, Veronese N, Bolzetta F, Berton L, Carraro S et al. Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults. Clin Nutr 2015; 34: 667–73.

[16] Reiss J, Iglseder B, Kreutzer M, Weilbuchner I, Treschnitzer W, Kässmann H et al. Case finding for sarcopenia in geriatric inpatients: performance of bioimpedance analysis in comparison to dual X-ray absorptiometry. BMC Geriatr 2016; 16: 52.

[17] Heymsfield SB, Smith R, Aulet M, Benson B, Lichtman S, Wang J et al. Appendicular skeletal muscle mass: measurement by dual-photon absorptiometry. Am J Clin Nutr 1990; 52: 214–8.

[18] Kim KM, Jang HC, Lim S. Differences among skeletal muscle mass indices derived from height-, weight-, and BMI-adjusted models in assessing sarcopenia. J Gerontol A Biol Sci Med Sci 2016; 71: 643–50.

[19] Donini LM, Bischoff SC, Cederholm T, Ballesteros JM, Chourdakis M, Gallagher D et al. Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement. Clin Nutr 2022; 41: 304–23.

[20] Bao WZ, Sun Y, Zhang T, Zou L, Wu X, Wang D et al. Exercise programs for muscle mass, muscle strength and physical performance in older adults with sarcopenia: a systematic review and meta-analysis. Aging Dis 2020; 11: 863–73.

[21] Shen Y, Ding M, Zhou C, Xu L, Wu P, Li T et al. Exercise for sarcopenia in older people: a systematic review and network meta-analysis. J Cachexia Sarcopenia Muscle 2023; 14: 1199–211.

[22] Lo JHT, U KP, Yiu T, Ong MTY, Lee WYW. Sarcopenia: current treatments and new regenerative therapeutic approaches. J Orthop Transl 2020; 23: 38–52.

[23] Deutz NEP, Bauer JM, Barazzoni R, Biolo G, Boirie Y, Bosy-Westphal A et al. Protein intake and exercise for optimal muscle function with aging: recommendations from the ESPEN Expert Group. Clin Nutr 2014; 33: 929–36.