Evidence map›Paper›PMID 31942600›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Longitudinal Association Between Energy Regulation and Fatigability in Mid-to-Late Life.

Jennifer A Schrack, Amal A Wanigatunga, Vadim Zipunnikov, Pei-Lun Kuo, Eleanor M Simonsick, Luigi Ferrucci

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  5. The association between sensor-based assessments of daily physical activity patterns and physical fitness in older adults: a systematic review and meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Review
  6. Article
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  9. Role of Walking Energetics and Perceived Fatigability Differs by Gait Speed: The Study of Muscle, Mobility and Aging (SOMMA).The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  10. Article
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  12. Validation of the Pittsburgh Performance Fatigability Index in the Study of Muscle, Mobility and Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  13. Changes in Objectively Measured Physical Activity Are Associated With Perceived Physical and Mental Fatigability in Older Men.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  14. Article
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  18. Evaluation of the Bidirectional Relations of Perceived Physical Fatigability and Physical Activity on Slower Gait Speed.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  19. Association Between Walking Energetics and Fragmented Physical Activity in Mid- to Late-Life.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  20. Association of Mitochondrial Function, Substrate Utilization, and Anaerobic Metabolism With Age-Related Perceived Fatigability.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    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

6 authors at 2 institutions in 1 country.

Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Vadim ZipunnikovIntramural Research Program, National Institute on Aging, Baltimore, Maryland.
Pei-Lun KuoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Eleanor M SimonsickDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Luigi FerrucciDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USNational Institute on Aging · US

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Contribution of sensorimotor function to risk and pathogenic mechanisms of Alzheimer's disease and related dementiasR01AG061786 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGRAWAL, YURI, LIN, FRANK R · 2019 to 2023
$3.7M
Energy Reserves, Physical Activity, and Alzheimer's Disease in the Baltimore Longitudinal Study of AgingU01AG057545 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2017 to 2021
$3.0M
Defining and Quantifying Fatigability in Functionally Independent Older AdultsR21AG053198 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2016 to 2017
$449k
NIA NIH HHS P30 AG021334NIA NIH HHS R01 AG061786NIA NIH HHS R21 AG053198NIA NIH HHS T32 AG000247NIA NIH HHS U01 AG057545
6 · The paper itself

Abstract

backgroundDeficits in energy production and utilization have been linked to higher fatigue and functional decline with aging. Lesser known is whether individuals with a combination of low peak energy capacity and high energy costs for mobility (eg, impaired energy regulation) are more likely to experience the onset and progression of high fatigability with aging.

methodsParticipants in the Baltimore Longitudinal Study of Aging (n = 651, 49.0% male, mean age 71.9, range 50-94) with ≥2 visits who completed fatigability (Borg rating of perceived exertion [RPE] after a 5-minute 1.5 mph treadmill walk), slow walking energy expenditure (VO2 mL/kg/min), and peak walking energy expenditure (VO2 mL/kg/min), testing between 2007 and 2018. The longitudinal association between each measure of energy expenditure, a ratio of energy cost-to-capacity, and perceived fatigability was modeled using mixed effects models adjusted for age, body composition, and comorbidities. Time to higher perceived fatigability (RPE ≥ 10) was modeled using Cox proportional hazards models.

resultsIn continuous analyses, higher slow walking energy expenditure (p < .05) and a higher cost ratio (p ≤ .001) were associated with greater perceived fatigability over time. Cox proportional hazards models using tertiles of the cost ratio suggest that, compared to those in the lowest tertile, those in the middle and highest tertiles had 1.89 (95% confidence interval [CI]: 1.57-5.16) and 2.85 (95% CI: 1.05-3.40) times greater risk of developing higher fatigability, respectively.

conclusionFindings suggest that strategies to prevent fatigability should consider methods to improve energy regulation by targeting both the independent and combined effects of declining peak capacity and rising energy costs for mobility with aging.

Indexed as

AgedAged, 80 and overAgingEnergy MetabolismFatigueFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsEnergy costFatiguePeak capacityWalking efficiency

Identifiers

PMID31942600
PMCPMC7494036
OpenAlexW3000692841

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.