Evidence map›Paper›PMID 37566383›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2023

Validation of the Pittsburgh Performance Fatigability Index in the Study of Muscle, Mobility and Aging.

Yujia Susanna Qiao, Jaroslaw Harezlak, Peggy M Cawthon, Steven R Cummings, Daniel E Forman, Bret H Goodpaster, Marquis Hawkins, Kyle D Moored, Barbara J Nicklas, Frederico G S Toledo and 5 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Higher Striatal Dopamine is Related With Lower Physical Performance Fatigability in Community-Dwelling Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  6. Article
  7. 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

15 authors.

Yujia Susanna QiaoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-7356-3320
Jaroslaw HarezlakDepartment of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana, USA.
Peggy M CawthonSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.
Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.
Daniel E FormanDepartment of Medicine (Divisions of Geriatrics and Cardiology), School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-5697-2189
Bret H GoodpasterAdventHealth, Translational Research Institute, Orlando, Florida, USA.ORCID 0000-0003-1275-5147
Marquis HawkinsDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kyle D MooredDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8938-6357
Barbara J NicklasGerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Frederico G S ToledoDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Pamela E TotoDepartment of Occupational Therapy, University of Pittsburgh School of Health and Rehabilitation Sciences, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-8561-5068
Adam J SantanastoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-6912-2909
Elsa S StrotmeyerDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Anne B NewmanDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
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 LEON LENCHIK · 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
TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000181 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 1989 to 2025
$6.2M
Study of Muscle, Mobility and Aging: SOMMA2R56AG059416 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON, GOODPASTER, BRET H · 2023 to 2023
$3.1M
NCATS NIH HHS UL1 0TR001420NCATS NIH HHS UL1 TR001420NIA NIH HHS AG 059416NIA NIH HHS P30 AG021332NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG059416NIA NIH HHS R56 AG059416NIA NIH HHS T32 AG000181
6 · The paper itself

Abstract

backgroundThe Pittsburgh Performance Fatigability Index (PPFI) quantifies the percent decline in cadence using accelerometry during standardized walking tasks. Although PPFI has shown strong correlations with physical performance, the developmental sample was relatively homogenous and small, necessitating further validation.

methodsParticipants from the Study of Muscle, Mobility and Aging (N = 805, age = 76.4 ± 5.0 years, 58% women, 85% White) wore an ActiGraph GT9X on the nondominant wrist during usual-paced 400 m walk. Tri-axial accelerations were analyzed to compute PPFI (higher score = greater fatigability). To evaluate construct and discriminant validity, Spearman correlations (rs) between PPFI and gait speed, Short Physical Performance Battery (SPPB), chair stand speed, leg peak power, VO2peak, perceived fatigability, and mood were examined. Sex-specific PPFI cut-points that optimally discriminated gait speed using classification and regression tree were then generated. Their discriminate power in relation to aforementioned physical performance were further evaluated.

resultsMedian PPFI score was 1.4% (25th-75th percentile range: 0%-21.7%), higher among women than men (p < .001). PPFI score was moderate-to-strongly correlated with gait speed (rs = -0.75), SPPB score (rs = -0.38), chair stand speed (rs = -0.36), leg peak power (rs = -0.34) and VO2peak (rs = -0.40), and less strongly with perceived fatigability (rs = 0.28-0.29), all p < .001. PPFI score was not correlated with mood (|rs| < 0.08). Sex-specific PPFI cut-points (no performance fatigability: PPFI = 0%; mild performance fatigability: 0% < PPFI < 3.5% [women], 0% < PPFI < 5.4% [men]; moderate-to-severe performance fatigability: PPFI ≥ 3.5% [women], PPFI ≥ 5.4% [men]) discriminated physical performance (all p < .001), adjusted for demographics and smoking status.

conclusionOur work underscores the utility of PPFI as a valid measure to quantify performance fatigability in future longitudinal epidemiologic studies and clinical/pharmaceutical trials.

Indexed as

AgingGeriatric AssessmentAgedAged, 80 and overFatigueFemaleHumansMaleMusclesWalkingAccelerometryFatigueGait speed

Identifiers

PMID37566383
PMCPMC10692427

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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.