Evidence map›Paper›PMID 35104566›Full record

ArticleExperimental gerontology2022

Factor analysis to determine relative contributions of strength, physical performance, body composition and muscle mass to disability and mobility disability outcomes in older men.

Jesse Zanker, Terri Blackwell, Sheena Patel, Kate Duchowny, Sharon Brennan-Olsen, Steven R Cummings, William J Evans, Eric S Orwoll, David Scott, Sara Vogrin and 3 more

Open access · greenAbstract read
In one paragraph

Article in Experimental gerontology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Muscle Quality and Physical Function in Men With and Without HIV.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  5. Estimating Muscle Mass Using D3-Creatine Dilution: A Narrative Review of Clinical Implications and Comparison With Other Methods.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  6. DCalcified tissue international · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Sarcopenia ≠ low muscle mass.European geriatric medicine · 2023
    Article
  11. DJournal of cachexia, sarcopenia and muscle · 2022
    Review
  12. Walking Speed and Muscle Mass Estimated by the DJournal of the American Medical Directors Association · 2020
    Article
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

13 authors at 8 institutions in 2 countries.

Jesse ZankerDepartment of Medicine-Western Health, University of Melbourne, Melbourne, Victoria, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, Victoria, Australia.
Terri BlackwellResearch Institute, California Pacific Medical Center, San Francisco, United States of America.
Sheena PatelResearch Institute, California Pacific Medical Center, San Francisco, United States of America.
Kate DuchownyResearch Institute, California Pacific Medical Center, San Francisco, United States of America; Department of Epidemiology and Biostatistics, University of California, San Francisco, United States of America.
Sharon Brennan-OlsenDepartment of Medicine-Western Health, University of Melbourne, Melbourne, Victoria, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, Victoria, Australia; School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Victoria, Australia; Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia; Department of Nutritional Sciences and Toxicology, University of California, Berkeley, United States of America.
Steven R CummingsResearch Institute, California Pacific Medical Center, San Francisco, United States of America; Department of Epidemiology and Biostatistics, University of California, San Francisco, United States of America.
William J EvansDepartment of Medicine, Duke University, Durham, NC, United States of America; Department of Medicine, Oregon Health and Science University, Portland, United States of America.
Eric S OrwollDepartment of Medicine, Duke University, Durham, NC, United States of America.
David ScottDepartment of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia; Institute for Physical Activity and Nutrition, Deakin University, Burwood, Victoria, Australia.
Sara VogrinDepartment of Medicine-Western Health, University of Melbourne, Melbourne, Victoria, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, Victoria, Australia.
Gustavo DuqueDepartment of Medicine-Western Health, University of Melbourne, Melbourne, Victoria, Australia; Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, Victoria, Australia.
Peggy M CawthonResearch Institute, California Pacific Medical Center, San Francisco, United States of America; Department of Epidemiology and Biostatistics, University of California, San Francisco, United States of America. Electronic address: eggy.caewthon@ucsf.edu.
Osteoporotic Fractures in Men (MrOS) Study Group
California Pacific Medical Center · USWestern Health · AUDuke University · USMonash Health · AUOregon Health & Science University · USUniversity of California, Berkeley · USUniversity of California, San Francisco · USUniversity of Melbourne · AU

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Ryan Tewhey · 2004 to 2026
$102.6M
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Long term fracture risk and change in peripheral bone in the oldest old men: The MrOS studyR01AG066671 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI BOUXSEIN, MARY L, CAWTHON, PEGGY MANNEN · 2020 to 2024
$13.3M
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
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
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
Osteoporotic Fractures in Men (MrOS) - PortlandU01AG042124 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2013 to 2019
$3.0M
Osteoporatic Fractures in Men (MrOS)U01AG042168 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KADO, DEBORAH · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr. Os) Palo AltoU01AG042143 · NIA · STANFORD UNIVERSITY · PI STEFANICK, MARCIA L. · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr.OS)U01AG042139 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2013 to 2017
$2.9M
NCATS NIH HHS UL1 TR000128NCATS NIH HHS UL1 TR002369NIAMS NIH HHS R01 AR065268NIAMS NIH HHS U01 AR066160NIA NIH HHS R01 AG066671NIA NIH HHS R56 AG061085NIA 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 U19 AG023122NIA NIH HHS UH3 AG064706
6 · The paper itself

Abstract

backgroundIt is not known how measures of body composition, strength and physical performance are interrelated or how empirical groupings of these measures relate to disability and mobility disability.

methodsMuscle mass was assessed by D

resultsFactor analysis reduced 10 variables into four factors: Factor 1, body composition, including ALM, body fat percentage, weight and muscle mass; Factor 2, body size and lean mass, including height, weight and ALM; Factor 3, muscle mass, strength and performance, including walk speed, chair stands, grip strength, and muscle mass; and Factor 4, lean mass and weight, including ALM and weight. Only Factor 3 was significantly associated (p-value < .001) with prevalent disability (RR per standard deviation increment in factor score (reflecting higher muscle mass, strength and physical performance) 0.44, 0.35-0.56) and mobility disability (RR 0.22, 0.17 0.28), and incident mobility disability (RR 0.37, 0.27-0.50).

conclusionD

Indexed as

Activities of Daily LivingSarcopeniaAbsorptiometry, PhotonAgedBody CompositionFactor Analysis, StatisticalHand StrengthHumansMaleMusclesMuscle StrengthPhysical Functional PerformanceBody compositionMusclePhysical performanceSarcopenia

Identifiers

PMID35104566
PMCPMC8932551
OpenAlexW4210299558

What OpenQuestion holds

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Registered trials

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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.