Evidence map›Paper›PMID 32633830›Full record

ArticleJournal of the American Geriatrics Society2020

Sarcopenia Definition & Outcomes Consortium Defined Low Grip Strength in Two Cross-Sectional, Population-Based Cohorts.

Sheena M Patel, Kate A Duchowny, Douglas P Kiel, Rosaly Correa-de-Araujo, Roger A Fielding, Thomas Travison, Jay Magaziner, Todd Manini, Qian-Li Xue, Anne B Newman and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 45 citations in OpenAlex.

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  15. Grip strength cut-points from the Swiss DO-HEALTH population.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
    Article
  16. Optimizing the Design of Clinical Trials to Evaluate the Efficacy of Function-Promoting Therapies.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 1 country.

Sheena M PatelCalifornia Pacific Medical Center, Research Institute, San Francisco, California.
Kate A DuchownyCalifornia Pacific Medical Center, Research Institute, San Francisco, California.
Douglas P KielDepartment of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Marcus Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts.
Rosaly Correa-de-AraujoThe National Institute on Aging, Bethesda, Maryland.
Roger A FieldingNutrition, Exercise, Physiology, and Sarcopenia Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts.
Thomas TravisonDepartment of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Marcus Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts.
Jay MagazinerDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland.
Todd ManiniDepartment of Aging & Geriatric Research, University of Florida, Gainesville, Florida.
Qian-Li XueDivision of Geriatric Medicine and Gerontology and Center on Aging and Health, Johns Hopkins Medical Institute, Baltimore, Maryland.
Anne B NewmanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Karol M PencinaBoston Claude D. Pepper Older Americans Independence Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Adam J SantanastoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Shalender BhasinBoston Claude D. Pepper Older Americans Independence Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Peggy M CawthonCalifornia Pacific Medical Center, Research Institute, San Francisco, California.ORCID 0000-0003-4938-9478
Beth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USNational Institute on Aging · USUniversity of California, San Francisco · USUniversity of Pittsburgh · USCalifornia Pacific Medical Center · USTufts University · USUniversity of Florida · USUniversity of Maryland, Baltimore · US

Funding

Predictors of Recovery and the App-Facilitated Tele-Rehabilitation (AFTER) Program for COVID SurvivorsR01AG054366 · NIA · UNIVERSITY OF COLORADO DENVER · PI ERLANDSON, KRISTINE MACE, STEVENS-LAPSLEY, JENNIFER E. · 2016 to 2020
$3.4M
Muscle Mass and Strength Cutpoints in Persons at Risk of Mobility Disability-A1U01AG051421 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI BHASIN, SHALENDER, CAWTHON, PEGGY MANNEN · 2015 to 2017
$1.7M
The Impact of HIV and Aging on Physical Function and the Somatopause.K23AG050260 · NIA · UNIVERSITY OF COLORADO DENVER · PI ERLANDSON, KRISTINE MACE · 2014 to 2018
$946k
NIA NIH HHS AG51421NIA NIH HHS K23 AG050260NIA NIH HHS R01 AG054366NIA NIH HHS U01 AG051421
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe extent to which the prevalence of muscle weakness in the US population varies by different putative grip strength constructs developed by the Sarcopenia Definitions and Outcomes Consortium (SDOC) has not been described.

designCross-sectional analysis.

settingTwo nationally representative cohorts-2010 and 2012 waves of the Health and Retirement Survey and round 1 (2011) of the National Health and Aging Trends Survey.

participantsAdults aged 65 years and older (n = 12,984) were included in these analyses. MEASUREMENTS: We analyzed three constructs of muscle weakness developed by the SDOC, and found to be associated with mobility disability for men and women, respectively: absolute grip strength (<35.5 kg and 20 kg); grip strength standardized to body mass index (<1.05 kg/kg/m² and 0.79 kg/kg/m²); and grip strength standardized to weight (<0.45 kg/kg and 0.337 kg/kg). We estimated the prevalence of muscle weakness defined by each of these constructs in the overall older US population, and by age, sex, race, and ethnicity. We also estimated the sensitivity and specificity of each of the grip strength constructs to discriminate slowness (gait speed <0.8 m/s) in these samples.

resultsThe prevalence of muscle weakness ranged from 23% to 61% for men and from 30% to 66% for women, depending on the construct used. There was substantial variation in the prevalence of muscle weakness by race and ethnicity. The sensitivity and specificity of these measures for discriminating slowness varied widely, ranging from 0.30 to 0.92 (sensitivity) and from 0.17 to 0.88 (specificity).

conclusionsThe prevalence of muscle weakness, defined by the putative SDOC grip strength constructs, depends on the construct of weakness used. J Am Geriatr Soc 68:1438-1444, 2020.

Indexed as

ConsensusSarcopeniaAgedAged, 80 and overAge FactorsBody Mass IndexCross-Sectional StudiesFemaleHand StrengthHealth SurveysHumansMaleMuscle WeaknessPrevalenceSex FactorsUnited Statesgaitmusclephysical performancesarcopenia

Identifiers

PMID32633830
OpenAlexW3040961354

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.