Validation of a description of sarcopenic obesity defined as excess adiposity and low lean mass relative to adiposity.


Journal

Journal of cachexia, sarcopenia and muscle
ISSN: 2190-6009
Titre abrégé: J Cachexia Sarcopenia Muscle
Pays: Germany
ID NLM: 101552883

Informations de publication

Date de publication:
12 2020
Historique:
received: 04 03 2020
revised: 22 06 2020
accepted: 22 07 2020
pubmed: 16 9 2020
medline: 29 10 2021
entrez: 15 9 2020
Statut: ppublish

Résumé

This study aims to assess the construct validity of a body composition-defined definition of sarcopenic obesity based on low appendicular lean mass relative to fat mass (ALMI This is a secondary analysis of two cohort studies: the National Health and Examination Survey (NHANES) and the Health, Aging, and Body Composition study (Health ABC). Sarcopenic obesity was defined as low ALMI Among 14, 850 participants from NHANES, patients with sarcopenic obesity defined by low ALMI Body composition-defined measures of sarcopenic obesity defined as excess adiposity and lower-than-expected ALMI relative to FMI are associated with functional deficits and incident disability and overcome the limitations of using %BF in estimating obesity in this context.

Sections du résumé

BACKGROUND
This study aims to assess the construct validity of a body composition-defined definition of sarcopenic obesity based on low appendicular lean mass relative to fat mass (ALMI
METHODS
This is a secondary analysis of two cohort studies: the National Health and Examination Survey (NHANES) and the Health, Aging, and Body Composition study (Health ABC). Sarcopenic obesity was defined as low ALMI
RESULTS
Among 14, 850 participants from NHANES, patients with sarcopenic obesity defined by low ALMI
CONCLUSIONS
Body composition-defined measures of sarcopenic obesity defined as excess adiposity and lower-than-expected ALMI relative to FMI are associated with functional deficits and incident disability and overcome the limitations of using %BF in estimating obesity in this context.

Identifiants

pubmed: 32931633
doi: 10.1002/jcsm.12613
pmc: PMC7749601
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1580-1589

Subventions

Organisme : NIDDK NIH HHS
ID : K23 DK114477
Pays : United States
Organisme : NIA NIH HHS
ID : N01 AG062101
Pays : United States
Organisme : NIA NIH HHS
ID : N01 AG062103
Pays : United States
Organisme : NIA NIH HHS
ID : N01 AG062106
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG028050
Pays : United States
Organisme : NINR NIH HHS
ID : R01 NR012459
Pays : United States
Organisme : NIDDK NIH HHS
ID : K24 DK076808
Pays : United States
Organisme : NIDDK NIH HHS
ID : F32 DK111083
Pays : United States

Informations de copyright

© 2020 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders.

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Auteurs

Joshua F Baker (JF)

Division of Rheumatology, Philadelphia Veterans' Affairs Medical Center, Philadelphia, PA, USA.
Division of Rheumatology, School of Medicine, University of Pennsylvania, 8 Penn Tower Building,, Philadelphia, PA, USA.
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.

Tamara Harris (T)

Laboratory of Epidemiology and Population Sciences, Intramural Research Program, NIA, NIH, Bethesda, MD, USA.

Allegra Rapoport (A)

John's Hopkins School of Public Health, Baltimore, MA, USA.

Susan L Ziolkowski (SL)

Department of Medicine and Pediatrics, Stanford University, Palo Alto, CA, USA.

Mary B Leonard (MB)

Department of Medicine and Pediatrics, Stanford University, Palo Alto, CA, USA.

Jin Long (J)

Department of Medicine and Pediatrics, Stanford University, Palo Alto, CA, USA.

Babette Zemel (B)

Children's Hospital of Philadelphia, Philadelphia, PA, USA.

David R Weber (DR)

Division of Endocrinology and Diabetes, Golisano Children's Hospital, University of Rochester, Rochester, NY, USA.

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Classifications MeSH