Identification of Sarcopenia Components That Discriminate Slow Walking Speed: A Pooled Data Analysis.
disability
dynapenia
weakness
Journal
Journal of the American Geriatrics Society
ISSN: 1532-5415
Titre abrégé: J Am Geriatr Soc
Pays: United States
ID NLM: 7503062
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
received:
30
10
2019
revised:
20
02
2020
accepted:
18
03
2020
pubmed:
8
7
2020
medline:
26
2
2021
entrez:
8
7
2020
Statut:
ppublish
Résumé
The Sarcopenia Definitions and Outcomes Consortium (SDOC) sought to identify cut points for muscle strength and body composition measures derived from dual-energy x-ray absorptiometry (DXA) that discriminate older adults with slow walking speed. This article presents the core analyses used to guide the SDOC position statements. Cross-sectional data analyses of pooled data. University-based research assessment centers. Community-dwelling men (n = 13,652) and women: (n = 5,115) with information on lean mass by DXA, grip strength (GR), and walking speed. Thirty-five candidate sarcopenia variables were entered into sex-stratified classification and regression tree (CART) models to agnostically choose variables and cut points that discriminate slow walkers (<0.80 m/s). Models with alternative walking speed outcomes were also evaluated (<0.60 and <1.0 m/s and walking speed treated continuously). CART models identified GR/body mass index (GRBMI) and GR/total body fat (GRTBF) as the primary discriminating variables for slowness in men and women, respectively. Men with GRBMI of 1.05 kg/kg/m GR with and without adjustments for body size and composition consistently discriminated older adults with slowness. CART models did not select DXA-based lean mass as a primary discriminator of slowness. These results were presented to an SDOC Consensus Panel, who used them and other information to develop the SDOC Position Statements. J Am Geriatr Soc 68:1419-1428, 2020.
Sections du résumé
BACKGROUND
The Sarcopenia Definitions and Outcomes Consortium (SDOC) sought to identify cut points for muscle strength and body composition measures derived from dual-energy x-ray absorptiometry (DXA) that discriminate older adults with slow walking speed. This article presents the core analyses used to guide the SDOC position statements.
DESIGN
Cross-sectional data analyses of pooled data.
SETTING
University-based research assessment centers.
PARTICIPANTS
Community-dwelling men (n = 13,652) and women: (n = 5,115) with information on lean mass by DXA, grip strength (GR), and walking speed.
MEASUREMENTS
Thirty-five candidate sarcopenia variables were entered into sex-stratified classification and regression tree (CART) models to agnostically choose variables and cut points that discriminate slow walkers (<0.80 m/s). Models with alternative walking speed outcomes were also evaluated (<0.60 and <1.0 m/s and walking speed treated continuously).
RESULTS
CART models identified GR/body mass index (GRBMI) and GR/total body fat (GRTBF) as the primary discriminating variables for slowness in men and women, respectively. Men with GRBMI of 1.05 kg/kg/m
CONCLUSION
GR with and without adjustments for body size and composition consistently discriminated older adults with slowness. CART models did not select DXA-based lean mass as a primary discriminator of slowness. These results were presented to an SDOC Consensus Panel, who used them and other information to develop the SDOC Position Statements. J Am Geriatr Soc 68:1419-1428, 2020.
Identifiants
pubmed: 32633834
doi: 10.1111/jgs.16524
pmc: PMC8018524
mid: NIHMS1614576
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1419-1428Subventions
Organisme : NIA NIH HHS
ID : P30 AG024827
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG031679
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG028747
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG051421
Pays : United States
Organisme : NIA NIH HHS
ID : R56 AG061085
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2020 The American Geriatrics Society.
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