Van Aller, Carla, Lara Gallegos, Jose, Stephan, Blossom, Donini, Lorenzo Maria, Heymsfield, Steven, Katzmarzyk, Peter, Wells, Jonathan, Prado, Carla and Siervo, Mario (2019) Sarcopenic obesity and overall mortality: Results from the application of novel models of body composition phenotypes to the National Health and Nutrition Examination Survey 1999–2004. Clinical Nutrition, 38 (1). pp. 264-270. ISSN 0261-5614
Full text not available from this repository. (Request a copy)Abstract
Background/Objectives:There is no consensus on the definition of sarcopenic obesity (SO), resulting ininconsistent associations of SO with mortality risk. We aim to evaluate association of dual energy x-rayabsorptiometry (DXA) SO models with mortality risk in a US adult population (�50 years).Subjects/Methods:The study population consisted of 3577 participants aged 50 years and older from the1999e2004 National Health and Nutrition and Examination Survey with mortality follow-up datathrough December 31, 2011. Difference in survival time in people with and without SO defined by threebody composition DXA models (Model 1: body composition phenotype model; Model 2: Truncal Fat Mass(TrFM)/Appendicular Skeletal Muscle Mass (ASM) ratio model; Model 3: Fat Mass (FM)/Fat Free Mass(FFM) ratio). The differences between the models were assessed by the acceleration failure time model,and expressed as time ratios (TR).Results:Participants age 50e70 years with SO had a significantly decreased survival time, according tothe body composition phenotype model (TR: 0.92; 95% CI: 0.87e0.97), and TrFM/ASM ratio model (TR:0.88; 95% CI: 0.81e0.95). The FM/FFM ratio model did not detect significant differences in survival time.Participants with SO aged 70 years and older did not have a significantly decreased survival time, ac-cording to all three models.Conclusions:A SO phenotype increases mortality risk in people of age 50e70 years, but not in peopleaged 70 years and older. The application of the body composition phenotype and the TrFM/ASM ratiomodels may represent useful diagnostic approaches to improve the prediction of disease and mortalityrisk.
Item Type: | Article |
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Uncontrolled Keywords: | Sarcopenic obesity, Body composition, Mortality |
Subjects: | A300 Clinical Medicine B400 Nutrition |
Department: | Faculties > Health and Life Sciences > Applied Sciences |
Depositing User: | Elena Carlaw |
Date Deposited: | 05 Mar 2019 12:50 |
Last Modified: | 10 Oct 2019 21:02 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/38300 |
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