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Prevalence of Sarcopenic Obesity in Adults with Class II/III Obesity Using Different Diagnostic Criteria

Overview
Journal J Nutr Metab
Publisher Wiley
Date 2017 Apr 20
PMID 28421144
Citations 49
Authors
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Abstract

. Sarcopenic obesity (SO) is a hidden condition of reduced lean soft tissue (LST) in context of excess adiposity. SO is most commonly reported in older adults and both its risk and prevalence increase with age. A variety of body composition indices and cut points have been used to define this condition, leading to conflicting prevalence and risk prediction. Here, we investigate variability in the prevalence of SO in an adult sample of individuals with class II/III obesity (BMI ≥ 35 kg/m) using different diagnostic criteria. . SO definitions were identified from a literature review of studies using dual-energy X-ray absorptiometry (DXA) to assess LST. Demographics, anthropometrics, and body composition (by DXA) were measured in = 120, 86% female (46.9 ± 11.1 years). . LST was extremely variable in individuals, even with similar body sizes, and observed across the age spectrum. The prevalence of SO ranged from 0 to 84.5% in females and 0 to 100% in males, depending upon the definition applied, with higher prevalence among definitions accounting for measures of body size or fat mass. . SO is present, yet variable, in adults with class II/III obesity. Accounting for body mass or fat mass may identify a higher number of individuals with SO, although risk prediction remains to be studied.

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References
1.
Batsis J, Singh S, Lopez-Jimenez F . Anthropometric measurements and survival in older Americans: Results from the third National Health and Nutrition Examination Survey. J Nutr Health Aging. 2014; 18(2):123-30. DOI: 10.1007/s12603-013-0366-3. View

2.
Johnson Stoklossa C, Forhan M, Padwal R, Gonzalez M, Prado C . Practical Considerations for Body Composition Assessment of Adults with Class II/III Obesity Using Bioelectrical Impedance Analysis or Dual-Energy X-Ray Absorptiometry. Curr Obes Rep. 2016; 5(4):389-396. DOI: 10.1007/s13679-016-0228-5. View

3.
Nicoletti C, Camelo Jr J, Dos Santos J, Marchini J, Salgado Jr W, Nonino C . Bioelectrical impedance vector analysis in obese women before and after bariatric surgery: changes in body composition. Nutrition. 2014; 30(5):569-74. DOI: 10.1016/j.nut.2013.10.013. View

4.
Tataranni P, Ravussin E . Use of dual-energy X-ray absorptiometry in obese individuals. Am J Clin Nutr. 1995; 62(4):730-4. DOI: 10.1093/ajcn/62.4.730. View

5.
Fryar C, Gu Q, Ogden C . Anthropometric reference data for children and adults: United States, 2007-2010. Vital Health Stat 11. 2014; (252):1-48. View