Evidence map›Paper›PMID 27322733›Full record

ArticleTopics in stroke rehabilitation2017

Validating accelerometry as a measure of physical activity and energy expenditure in chronic stroke.

Monica C Serra, Elizabeth Balraj, Beth L DiSanzo, Frederick M Ivey, Charlene E Hafer-Macko, Margarita S Treuth, Alice S Ryan

Open access · greenAbstract read
In one paragraph

Article in Topics in stroke rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Observational
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  8. Article
  9. Article
  10. Accelerometer Calibration: The Importance of Considering Functionality.Journal for the measurement of physical behaviour · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Increased Energy Cost of Mobility in Chronic Stroke.Journal of gerontology & geriatric research · 2016
    Article
  18. 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

7 authors at 3 institutions in 1 country.

Monica C Serraa Research Service , Baltimore VA , Baltimore , MD , USA.
Elizabeth Balrajb Department of Medicine, Division of Gerontology and Geriatric Medicine , University of Maryland School of Medicine , Baltimore , MD , USA.
Beth L DiSanzob Department of Medicine, Division of Gerontology and Geriatric Medicine , University of Maryland School of Medicine , Baltimore , MD , USA.
Frederick M Iveya Research Service , Baltimore VA , Baltimore , MD , USA.
Charlene E Hafer-Mackoc GRECC , Baltimore VA , Baltimore , MD , USA.
Margarita S Treuthe Department of Kinesiology , University of Maryland Eastern Shore , Princess Anne , MD , USA.
Alice S Ryana Research Service , Baltimore VA , Baltimore , MD , USA.
University of Maryland, Baltimore · USBaltimore VA Medical Center · USUniversity of Maryland Eastern Shore · US

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Aging, Inflammation and Exercise in Chronic StrokeR01AG030075 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI HAFER-MACKO, CHARLENE E, RYAN, ALICE S. · 2008 to 2012
$2.4M
Short-term Training Program on AgingT35AG036679 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI CAREY, GREGORY B · 2010 to 2014
$704k
NIA NIH HHS P30 AG028747NIA NIH HHS R01 AG030075NIA NIH HHS T35 AG036679NIDDK NIH HHS P30 DK072488
6 · The paper itself

Abstract

backgroundAccelerometers can objectively measure steps taken per day in individuals without gait deficits, but accelerometers also have the ability to estimate frequency, intensity, and duration of physical activity. However, thresholds to distinguish varying levels of activity intensity using the Actical brand accelerometer are standardized only for the general population and may underestimate intensity in stroke.

objectiveTo derive Actical activity count thresholds specific to stroke disability for use in more accurately gauging time spent at differing activity levels.

methodsMen (n = 18) and women (n = 10) with chronic hemiparetic gait (4 ± 2 years latency, 43% Caucasian, 56% African-American, ages of 47-83 years, BMI 19-48 kg/m

resultsRegression analysis yielded the following new stroke-specific Actical minimum thresholds: 125 counts per minute (cpm) for sedentary/light activity, 667 cpm for light/moderate activity, and 1546 cpm for moderate/vigorous activity.

conclusionOur revised cut points better reflect activity levels after stroke and suggest significantly lower thresholds relative to those observed for the general population of healthy individuals. We conclude that the standard, commonly applied Actical thresholds are inappropriate for this unique population.

Indexed as

Absorptiometry, PhotonAccelerometryActivities of Daily LivingAgedAged, 80 and overBody CompositionCalorimetryChronic DiseaseEnergy MetabolismExerciseFemaleHumansMaleMiddle AgedOxygen ConsumptionRegression AnalysisAccelerometryChronic strokePhysical activity

Identifiers

PMID27322733
PMCPMC5125839
OpenAlexW2470544830

What OpenQuestion holds

Textmetadata
LicenceTDM
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.