Toggle Main Menu Toggle Search

Open Access padlockePrints

Sarcopenic obesity and insulin resistance: Application of novel body composition models

Lookup NU author(s): Ines Mendes, Gabriele Mocciaro


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


© 2020 Elsevier Inc.Objectives: Sarcopenic obesity (SO) is characterized by the co-occurrence of high adiposity (HA) and low muscle mass (LM) and has been associated with an increased risk for cardiometabolic diseases. The aim of this study was to investigate the association between markers of insulin sensitivity and SO defined by three novel body composition models: body composition phenotypes; truncal fat mass-to-appendicular skeletal mass (TrFM/ASM) ratio load capacity; and fat mass-to-fat-free mass (FM/FFM) ratio load capacity. Methods: The study included 314 participants 18 to 65 y of age. Body composition was assessed by dual-energy x-ray absorptiometry. The first model includes four phenotypes: low adiposity-high muscle mass (LA-HM), high adiposity-high muscle mass (HA-HM), low adiposity-low muscle mass (LA-LM), and high adiposity-low muscle mass (HA-LM). The second and third load-capacity models stratified participants into three centile groups: <15th, 15th to 84th and ≥85th. A 2-h oral glucose tolerance test was performed and insulin sensitivity was calculated using the Matsuda Index. Glycated hemoglobin and highly sensitive C-reactive protein also were measured. Results: Lower insulin sensitivity was observed in the HA-LM (P < 0.001) and in the ≥85th centile groups of the TrFM/ASM ratio (P < 0.001) and the FM/FFM ratio (P = 0.001) compared with the other body composition phenotypes. The HA-LM and ≥85th centile group of the TrFM/ASM ratio model showed significantly higher (P < 0.001) concentrations of glycated hemoglobin compared with the other phenotypes. Conclusions: SO defined by both the four body composition phenotypes and TrFM/ASM definitions was associated with greater impairment of insulin sensitivity and glycemic control.

Publication metadata

Author(s): Poggiogalle E, Mendes I, Ong B, Prado CM, Mocciaro G, Mazidi M, Lubrano C, Lenzi A, Donini LM, Siervo M

Publication type: Article

Publication status: Published

Journal: Nutrition

Year: 2020

Volume: 75-76

Print publication date: 01/07/2020

Online publication date: 13/02/2020

Acceptance date: 28/01/2020

ISSN (print): 0899-9007

ISSN (electronic): 1873-1244

Publisher: Elsevier Inc.


DOI: 10.1016/j.nut.2020.110765


Altmetrics provided by Altmetric