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Identification of Sarcopenia Components That Discriminate Slow Walking Speed : A Pooled Data Analysis

Manini, Todd M. ; Patel, Sheena M. ; Newman, Anne B. ; Travison, Thomas G. ; Kiel, Douglas P. ; Shardell, Michelle D. ; Pencina, Karol M. ; Wilson, Kevin E. ; Kelly, Thomas L. and Massaro, Joseph M. , et al. (2020) In Journal of the American Geriatrics Society 68(7). p.1419-1428
Abstract

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... (More)

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/m2 or less were approximately four times more likely to be slow walkers than those with GRBMI of greater than 1.05 kg/kg/m2. Women with GRTBF of less than 0.65 kg/kg were twice as likely to be slow walkers than women with GRTBF of 0.65 kg/kg or greater. Models with alternative walking speed outcomes selected only functions of GR as primary discriminators of slowness in both men and women. DXA-derived lean mass measures did not consistently discriminate slow walkers. 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.

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type
Contribution to journal
publication status
published
subject
keywords
disability, dynapenia, weakness
in
Journal of the American Geriatrics Society
volume
68
issue
7
pages
10 pages
publisher
Wiley-Blackwell
external identifiers
  • scopus:85081206354
  • pmid:32633834
ISSN
0002-8614
DOI
10.1111/jgs.16524
language
English
LU publication?
yes
id
c04cffcb-5c4a-4ca3-af3a-c60a6bde2b5b
date added to LUP
2020-12-29 14:41:57
date last changed
2024-06-27 04:35:08
@article{c04cffcb-5c4a-4ca3-af3a-c60a6bde2b5b,
  abstract     = {{<p>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 (&lt;0.80 m/s). Models with alternative walking speed outcomes were also evaluated (&lt;0.60 and &lt;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<sup>2</sup> or less were approximately four times more likely to be slow walkers than those with GRBMI of greater than 1.05 kg/kg/m<sup>2</sup>. Women with GRTBF of less than 0.65 kg/kg were twice as likely to be slow walkers than women with GRTBF of 0.65 kg/kg or greater. Models with alternative walking speed outcomes selected only functions of GR as primary discriminators of slowness in both men and women. DXA-derived lean mass measures did not consistently discriminate slow walkers. 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.</p>}},
  author       = {{Manini, Todd M. and Patel, Sheena M. and Newman, Anne B. and Travison, Thomas G. and Kiel, Douglas P. and Shardell, Michelle D. and Pencina, Karol M. and Wilson, Kevin E. and Kelly, Thomas L. and Massaro, Joseph M. and Fielding, Roger A. and Magaziner, Jay and Correa-de-Araujo, Rosaly and Kwok, Timothy C.Y. and Hirani, Vasant and Karlsson, Magnus K. and DʼAgostino, Ralph B. and Mellström, Dan and Ohlsson, Claes and Ribom, Eva and Jordan, Joanne M. and Bhasin, Shalender and Cawthon, Peggy M.}},
  issn         = {{0002-8614}},
  keywords     = {{disability; dynapenia; weakness}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{1419--1428}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Journal of the American Geriatrics Society}},
  title        = {{Identification of Sarcopenia Components That Discriminate Slow Walking Speed : A Pooled Data Analysis}},
  url          = {{http://dx.doi.org/10.1111/jgs.16524}},
  doi          = {{10.1111/jgs.16524}},
  volume       = {{68}},
  year         = {{2020}},
}