Evidence map›Paper›PMID 33175904›Full record

ArticlePloS one2020

Accelerometer output and its association with energy expenditure in persons with mild-to-moderate Parkinson's disease.

Brenda Jeng, Katie L J Cederberg, Byron Lai, Jeffer E Sasaki, Marcas M Bamman, Robert W Motl

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Accelerometer Calibration: The Importance of Considering Functionality.Journal for the measurement of physical behaviour · 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 2 countries.

Brenda JengDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-4522-1523
Katie L J CederbergDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Byron LaiDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Jeffer E SasakiGraduate Program in Physical Education, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil.ORCID 0000-0002-2083-4104
Marcas M BammanUniversity of Alabama at Birmingham Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-5017-5453
Robert W MotlDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
University of Alabama at Birmingham · USUniversidade Federal do Triângulo Mineiro · BR

Funding

Rehabilitation Research Resource to Enhance Clinical Trials (ReACT)P2CHD086851 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BRIDGES, S LOUIS · 2015 to 2019
$7.1M
UAB Pre-Doctoral Training Program in Obesity-Related ResearchT32HL105349 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2010 to 2026
$5.7M
Restless legs syndrome and physical activity in adults with multiple sclerosisF31HD097903 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CEDERBERG, KATIE L.J. · 2019 to 2020
$60k
NHLBI NIH HHS T32 HL105349NICHD NIH HHS F31 HD097903NICHD NIH HHS P2C HD086851
6 · The paper itself

Abstract

objectiveThis study examined the association between ActiGraph accelerometer output and energy expenditure across different speeds of walking in persons with Parkinson's disease (PD), and further generated cut-points that represent a metric for quantifying time spent in moderate-to-vigorous physical activity (MVPA) among persons with PD.

methodsThe sample included 30 persons with mild-to-moderate PD (Hoehn and Yahr stages 2-3) and 30 adults without PD matched by sex and age. All participants completed 5 minutes of quiet, seated rest and then underwent three, 6-minute bouts of walking on a treadmill at three different speeds relative to the individual's self-selected pace. Activity counts were measured using an ActiGraph accelerometer worn at the waist level on the least affected side for persons with PD and the dominant side for controls. The rate of oxygen consumption, or energy expenditure, was measured using a portable, open-circuit spirometry system.

resultsOur results indicated a strong association between activity counts and energy expenditure for persons with PD (R2 = 0.87) and controls (R2 = 0.89). However, the significant difference in slopes resulted in a lower cut-point of 1,354 counts·min-1 for persons with PD than the cut-point of 2,010 counts·min-1 for controls.

conclusionOur results support the application of the disease-specific cut-point for quantifying the amount of time spent in MVPA using ActiGraph accelerometers among persons with mild-to-moderate PD. Such an application may provide accurate estimates of MVPA in this population, and better inform future research examining the possible determinants and consequences of physical activity as well as testing of interventions for changing MVPA in PD.

Indexed as

Energy MetabolismWalking SpeedAccelerometryAgedFemaleHumansMaleMiddle AgedMonitoring, PhysiologicParkinson DiseaseWearable Electronic Devices

Identifiers

PMID33175904
PMCPMC7657517
OpenAlexW3099069877

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.