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Sarcopenic obesity and insulin resistance: Application of novel body composition models.
Poggiogalle, Eleonora; Mendes, Inês; Ong, Brennick; Prado, Carla M; Mocciaro, Gabriele; Mazidi, Mohsen; Lubrano, Carla; Lenzi, Andrea; Donini, Lorenzo Maria; Siervo, Mario.
Afiliação
  • Poggiogalle E; Department of Experimental Medicine - Medical Pathophysiology, Food Science and Endocrinology Section, Sapienza University of Rome, Rome, Italy.
  • Mendes I; Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, United Kingdom.
  • Ong B; Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, United Kingdom.
  • Prado CM; Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
  • Mocciaro G; Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, United Kingdom.
  • Mazidi M; Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital, Strand, London SE1 7EH, United Kingdom.
  • Lubrano C; Department of Experimental Medicine - Medical Pathophysiology, Food Science and Endocrinology Section, Sapienza University of Rome, Rome, Italy.
  • Lenzi A; Department of Experimental Medicine - Medical Pathophysiology, Food Science and Endocrinology Section, Sapienza University of Rome, Rome, Italy.
  • Donini LM; Department of Experimental Medicine - Medical Pathophysiology, Food Science and Endocrinology Section, Sapienza University of Rome, Rome, Italy.
  • Siervo M; School of Life Sciences, The University of Nottingham Medical School, Queen's Medical Centre, Nottingham, United Kingdom. Electronic address: mario.siervo@nottingham.ac.uk.
Nutrition ; 75-76: 110765, 2020.
Article em En | MEDLINE | ID: mdl-32279031
ABSTRACT

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 increased impairment of insulin sensitivity and glycemic control.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistência à Insulina / Sarcopenia Tipo de estudo: Etiology_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistência à Insulina / Sarcopenia Tipo de estudo: Etiology_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article