M El Ghoch1, A P Rossi2, S Calugi3, S Rubele2, F Soave3, M Zamboni2, E Chignola3, G Mazzali2, P V Bazzani4, R Dalle Grave3. 1. Department of Eating and Weight Disorders, Villa Garda Hospital, Via Montebaldo, 89, 37016 Garda, Verona, Italy. Electronic address: marwan1979@hotmail.com. 2. Department of Medicine, Geriatrics Division, University of Verona, Italy. 3. Department of Eating and Weight Disorders, Villa Garda Hospital, Via Montebaldo, 89, 37016 Garda, Verona, Italy. 4. Department of Radiology, Villa Garda Hospital, Via Montebaldo 89, Garda, 37016, Italy.
Abstract
BACKGROUND & AIMS: Little is known about the reduction of lean body mass (LBM) in obesity, or how to identify it in standard clinical settings. We therefore aimed to assess the prevalence of low LBM in adult females with obesity, and to identify the reliability of simple tools for its screening in this population. METHODS AND RESULTS: Dual-energy X-ray absorptiometry (DXA) body composition assessment was used to categorise 147 female participants with obesity as with or without low LBM, according to the new definition that takes into account both appendicular lean mass (ALM) and body mass index (BMI)-ALM/BMI <0.512. Participants were also administered the six-minute walking test, handgrip-strength test and 4-metre gait-speed test. Of the sample of 147 participants, 93 (63.3%) met the criteria for reduced LBM. Stepwise multivariate logistic regression analysis showed that the six-minute walking test was the only independent test associated with low LBM (OR = 0.992, 95%CI 0.987-0.998). Receiver operating characteristic (ROC) curve analysis found that the discriminating cut-off points of the tests considered were 470 m, 3.30 s (gait speed = 1.2 m/sec) and 23.5 kg respectively; the 4-metre gait-speed test seems to provide the best balance of sensitivity and specificity, and the greatest discriminatory power at 90% sensitivity. CONCLUSIONS: Treatment-seeking adult females with obesity display a great prevalence of reduced LBM. The six-minute walking test was the only independent test associated with low LBM, but the 4-metre gait-speed test seems to be the most accurate functional test for screening for this condition in that population.
BACKGROUND & AIMS: Little is known about the reduction of lean body mass (LBM) in obesity, or how to identify it in standard clinical settings. We therefore aimed to assess the prevalence of low LBM in adult females with obesity, and to identify the reliability of simple tools for its screening in this population. METHODS AND RESULTS: Dual-energy X-ray absorptiometry (DXA) body composition assessment was used to categorise 147 female participants with obesity as with or without low LBM, according to the new definition that takes into account both appendicular lean mass (ALM) and body mass index (BMI)-ALM/BMI <0.512. Participants were also administered the six-minute walking test, handgrip-strength test and 4-metre gait-speed test. Of the sample of 147 participants, 93 (63.3%) met the criteria for reduced LBM. Stepwise multivariate logistic regression analysis showed that the six-minute walking test was the only independent test associated with low LBM (OR = 0.992, 95%CI 0.987-0.998). Receiver operating characteristic (ROC) curve analysis found that the discriminating cut-off points of the tests considered were 470 m, 3.30 s (gait speed = 1.2 m/sec) and 23.5 kg respectively; the 4-metre gait-speed test seems to provide the best balance of sensitivity and specificity, and the greatest discriminatory power at 90% sensitivity. CONCLUSIONS: Treatment-seeking adult females with obesity display a great prevalence of reduced LBM. The six-minute walking test was the only independent test associated with low LBM, but the 4-metre gait-speed test seems to be the most accurate functional test for screening for this condition in that population.
Authors: Lorenzo M Donini; Luca Busetto; Stephan C Bischoff; Tommy Cederholm; Maria D Ballesteros-Pomar; John A Batsis; Juergen M Bauer; Yves Boirie; Alfonso J Cruz-Jentoft; Dror Dicker; Stefano Frara; Gema Frühbeck; Laurence Genton; Yftach Gepner; Andrea Giustina; Maria Cristina Gonzalez; Ho-Seong Han; Steven B Heymsfield; Takashi Higashiguchi; Alessandro Laviano; Andrea Lenzi; Ibolya Nyulasi; Edda Parrinello; Eleonora Poggiogalle; Carla M Prado; Javier Salvador; Yves Rolland; Ferruccio Santini; Mireille J Serlie; Hanping Shi; Cornel C Sieber; Mario Siervo; Roberto Vettor; Dennis T Villareal; Dorothee Volkert; Jianchun Yu; Mauro Zamboni; Rocco Barazzoni Journal: Obes Facts Date: 2022-02-23 Impact factor: 4.807
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