Evidence map›Paper›PMID 39066507›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Role of Walking Energetics and Perceived Fatigability Differs by Gait Speed: The Study of Muscle, Mobility and Aging (SOMMA).

Reagan E Garcia, Terri L Blackwell, Daniel E Forman, Paul M Coen, Barbara J Nicklas, Yujia Susanna Qiao, Peggy M Cawthon, Frederico G S Toledo, Bret H Goodpaster, Steven R Cummings and 2 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. MicroRNA Regulatory Targets Related to VObioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. 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

12 authors.

Reagan E GarciaDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Terri L BlackwellSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.
Daniel E FormanDepartment of Medicine (Divisions of Cardiology and Geriatrics), University of Pittsburgh School of Medicine, and Geriatrics, Research, Education, and Clinical Center (GRECC), Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-5697-2189
Paul M CoenTranslational Research Institute for Metabolism and Diabetes, Advent Health, Orlando, Florida, USA.ORCID 0000-0002-2805-2115
Barbara J NicklasDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Yujia Susanna QiaoSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.ORCID 0000-0001-7356-3320
Peggy M CawthonSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.ORCID 0000-0003-4938-9478
Frederico G S ToledoDepartment of Medicine (Divisions of Endocrinology and Metabolism), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Bret H GoodpasterTranslational Research Institute for Metabolism and Diabetes, Advent Health, Orlando, Florida, USA.ORCID 0000-0003-1275-5147
Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.
Anne B NewmanDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-0106-1150
Nancy W GlynnDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-2265-0162

Funding

Study of Muscle, Mobility and Aging: SOMMA2R01AG059416 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI STEVEN RON CUMMINGS, Peggy Mannen Cawthon · 2018 to 2026
$70.3M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamie Nicole Justice · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
NCATS NIH HHS UL1 TR001420NIAMS NIH HHS P30 AR075055NIA NIH HHS P30 AG021332NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG059416
6 · The paper itself

Abstract

backgroundSlower gait speed may be driven by greater energy deficits and fatigability among older adults. We examined associations of walking energetics and perceived physical fatigability with gait speed among slower and faster walkers. Additionally, we used statistical mediation to examine the role of fatigability in the associations of walking energetics and gait speed using the Study of Muscle, Mobility and Aging (SOMMA).

methodsPerceived physical fatigability was assessed using the Pittsburgh Fatigability Scale (PFS) Physical score (range 0-50, higher = greater). A 3-phase cardiopulmonary exercise treadmill test collected peak oxygen consumption (VO2peak, mL/kg/min), energetic cost of walking (ECW, mL/kg/m), and cost-capacity ratio (VO2/VO2peak*100, %). Slower (<1.01 m/s) versus faster (≥1.01 m/s) walkers were classified using median 4-m gait speed. Linear regressions and statistical mediation analyses were conducted.

resultsSlower walkers had lower VO2peak, higher ECW at preferred walking speed (PWS), and greater PFS Physical score compared to faster walkers (all p < .05; N = 849). One standard deviation (1-SD) higher VO2peak was associated with 0.1 m/s faster gait speed, while 1-SD higher ECW PWS, cost-capacity ratio at PWS and slow walking speed (SWS), and PFS Physical score were associated with 0.02-0.23 m/s slower gait speed. PFS Physical score was a significant statistical mediator in the associations between VO2peak (15.2%), SWS cost-capacity ratio (15.9%), and ECW PWS (10.7%) with gait speed and was stronger among slower walkers.

conclusionsSlower walkers may be more influenced by perceptions of fatigue in addition to walking energetics. Our work highlights the importance of targeting both energetics and perceived fatigability to prevent mobility decline.

Indexed as

Energy MetabolismFatigueOxygen ConsumptionWalkingWalking SpeedAgedAged, 80 and overAgingExercise TestFemaleHumansMaleMiddle AgedEnergy regulationFatigueOlder adultsOxygen consumption

Identifiers

PMID39066507
PMCPMC11341985

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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.