Evidence map›Paper›PMID 34166490›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

What Cut-Point in Gait Speed Best Discriminates Community-Dwelling Older Adults With Mobility Complaints From Those Without? A Pooled Analysis From the Sarcopenia Definitions and Outcomes Consortium.

Peggy M Cawthon, Sheena M Patel, Stephen B Kritchevsky, Anne B Newman, Adam Santanasto, Douglas P Kiel, Thomas G Travison, Nancy Lane, Steven R Cummings, Eric S Orwoll and 17 more

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
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  5. Review
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  12. Associations Between Walking Speed and Gut Microbiome Composition in Older Men From the MrOS Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 18 institutions in 4 countries.

Peggy M CawthonCalifornia Pacific Medical Center Research Institute, San Francisco, USA.ORCID 0000-0003-4938-9478
Sheena M PatelCalifornia Pacific Medical Center Research Institute, San Francisco, USA.
Stephen B KritchevskySticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0003-3336-6781
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh, Pennsylvania, USA.
Adam SantanastoDepartment of Epidemiology, University of Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-6912-2909
Douglas P KielMarcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Thomas G TravisonMarcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-1030-7175
Nancy LaneCenter for Musculoskeletal Health and Department of Internal Medicine, University of California Medical Center, Sacramento, USA.
Steven R CummingsCalifornia Pacific Medical Center Research Institute, San Francisco, USA.
Eric S OrwollBone and Mineral Unit, Oregon Health & Science University, Portland, USA.
Kate A DuchownyDepartment of Epidemiology and Biostatistics, University of California San Francisco, USA.
Timothy KwokDepartment of Medicine & Therapeutics and School of Public Health, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong.
Vasant HiraniCharles Perkins Centre, University of Sydney, Australia.
John SchousboeHealthPartners Institute, Bloomington, Minnesota, USA.
Magnus K KarlssonClinical and Molecular Osteoporosis Research Unit, Department of Orthopedics and Clinical Sciences in Malmo, Skane University Hospital, Lund University, Sweden.
Dan MellströmCentre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Sweden.ORCID 0000-0003-2761-3723
Claes OhlssonCentre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Sweden.ORCID 0000-0002-9633-2805
Östen LjunggrenDepartment of Medical Sciences, Uppsala University, Sweden.
Qian-Li XueDivision of Geriatric Medicine and Gerontology and Center on Aging and Health, Johns Hopkins Medical Institute, Baltimore, Maryland, USA.ORCID 0000-0001-8818-7444
Michelle ShardellDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA.ORCID 0000-0002-5283-2082
Joanne M JordanThurston Arthritis Research Center, School of Medicine, University of North Carolina, Chapel Hill, USA.
Karol M PencinaMarcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
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, USA.
Jay MagazinerDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA.
Rosaly Correa-de-AraujoThe National Institute on Aging, Bethesda, Maryland, USA.
Shalender BhasinBoston Claude D. Pepper Older Americans Independence Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-3982-6200
Todd M ManiniUniversity of Florida, Gainesville, USA.
Beth Israel Deaconess Medical Center · USUniversity of California, San Francisco · USSahlgrenska University Hospital · SEUniversity of Maryland, Baltimore · USUniversity of Pittsburgh · USBrigham and Women's Hospital · USCalifornia Pacific Medical Center · USChinese University of Hong Kong · HKLund University · SENational Institute on Aging · USOregon Health & Science University · USThe University of Sydney · AUTufts University · USUniversity of Florida · USUniversity of Minnesota · USUniversity of North Carolina at Chapel Hill · USUppsala University · SEWake Forest University · US

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Study of Osteoporotic FracturesR01AG005407 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CUMMINGS, STEVEN RON, YAFFE, KRISTINE · 1986 to 2016
$23.2M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Osteoporotic Fractures in Men (MrOS) - San Francisco Coordinating CenterU01AR066160 · NIAMS · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON · 2013 to 2017
$9.3M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Study of Osteoporotic FracturesR01AG005394 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ENSRUD, KRISTINE · 1986 to 2015
$6.1M
Project 3P60AR049465 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JORDAN, JOANNE M. · 2003 to 2008
$6.0M
Osteoporotic Fractures in Men (MrOS) - MinneapolisU01AG042145 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2013 to 2019
$5.3M
Osteporotic Fractures in Men (MrOS)- Admin CenterU01AG027810 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2017
$5.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
STUDY OF OSTEOPOROTIC FRACTURES: VERTEBRAL FRACTURESR01AR035583 · NIAMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI HILLIER, TERESA A · 1986 to 2005
$3.2M
NCATS NIH HHS UL1 TR000128NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85080NHLBI NIH HHS N01HC85081NHLBI NIH HHS N01HC85082NHLBI NIH HHS N01HC85083NHLBI NIH HHS N01HC85086NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIAMS NIH HHS P60 AR030701NIAMS NIH HHS P60 AR049465NIAMS NIH HHS R01 AR035582NIAMS NIH HHS R01 AR035583NIAMS NIH HHS R01 AR035584NIAMS NIH HHS U01 AR066160NIA NIH HHS AG51421NIA NIH HHS K01 AG057726NIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS P30 AG028747NIA NIH HHS R01 AG005394NIA NIH HHS R01 AG005407NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027574NIA NIH HHS R01 AG027576NIA NIH HHS U01 AG027810NIA NIH HHS U01 AG042124NIA NIH HHS U01 AG042139NIA NIH HHS U01 AG042140NIA NIH HHS U01 AG042143NIA NIH HHS U01 AG042145NIA NIH HHS U01 AG042168NIA NIH HHS U01 AG051421
6 · The paper itself

Abstract

backgroundCut-points to define slow walking speed have largely been derived from expert opinion.

methodsStudy participants (13 589 men and 5043 women aged ≥65years) had walking speed (m/s) measured over 4-6 m (mean ± SD: 1.20 ± 0.27 m/s in men and 0.94 ± 0.24 m/s in women.) Mobility limitation was defined as any self-reported difficulty with walking approximately 1/4 mile (prevalence: 12.6% men, 26.4% women). Sex-stratified classification and regression tree (CART) models with 10-fold cross-validation identified walking speed cut-points that optimally discriminated those who reported mobility limitation from those who did not.

resultsAmong 5043 women, CART analysis identified 2 cut-points, classifying 4144 (82.2%) with walking speed ≥0.75 m/s, which we labeled as "fast"; 478 (9.5%) as "intermediate" (walking speed ≥0.62 m/s but <0.75 m/s); and 421 (8.3%) as "slow" (walking speed <0.62 m/s). Among 13 589 men, CART analysis identified 3 cut-points, classifying 10 001 (73.6%) with walking speed ≥1.00 m/s ("very fast"); 2901 (21.3%) as "fast" (walking speed ≥0.74 m/s but <1.00 m/s); 497 (3.7%) as "intermediate" (walking speed ≥0.57 m/s but <0.74 m/s); and 190 (1.4%) as "slow" (walking speed <0.57 m/s). Prevalence of self-reported mobility limitation was lowest in the "fast" or "very fast" (11% for men and 19% for women) and highest in the "slow" (60.5% in men and 71.0% in women). Rounding the 2 slower cut-points to 0.60 m/s and 0.75 m/s reclassified very few participants.

conclusionsCut-points in walking speed of approximately 0.60 m/s and 0.75 m/s discriminate those with self-reported mobility limitation from those without.

Indexed as

SarcopeniaWalking SpeedAgedFemaleGaitHumansIndependent LivingMaleMobility LimitationWalkingClassification and regression treesGait speedMobility limitation

Identifiers

PMID34166490
PMCPMC8436986
OpenAlexW3175878856

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.