Evidence map›Paper›PMID 36242083›Full record

ArticleJournal of neuroengineering and rehabilitation2022

Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk.

Allison Miller, Zachary Collier, Darcy S Reisman

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Human-AI Cooperation in Healthcare and Rehabilitation.Delaware journal of public health · 2026
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  9. How should we measure physical activity after stroke? An international consensus.International journal of stroke : official journal of the International Stroke Society · 2023
    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

3 authors at 1 institution in 1 country.

Allison MillerDepartment of Biomechanics and Movement Science Program, University of Delaware, 540 South College Avenue, Newark, DE, 19713, USA.
Zachary CollierDepartment of Education and Human Development, University of Delaware, Newark, DE, USA.
Darcy S ReismanDepartment of Biomechanics and Movement Science Program, University of Delaware, 540 South College Avenue, Newark, DE, 19713, USA. dreisman@udel.edu.
University of Delaware · US

Funding

Promoting Recovery Optimization with WALKing Exercise after Stroke (PROWALKS)R01HD086362 · NICHD · UNIVERSITY OF DELAWARE · PI REISMAN, DARCY S. · 2016 to 2020
$4.0M
NICHD NIH HHS R01 HD086362NIH HHS R01HD086362
6 · The paper itself

Abstract

backgroundSignificant variability exists in how real-world walking has been measured in prior studies in individuals with stroke and it is unknown which measures are most important for cardiovascular risk. It is also unknown whether real-world monitoring is more informative than laboratory-based measures of walking capacity in the context of cardiovascular risk. The purpose of this study was to determine a subset of real-world walking activity measures most strongly associated with systolic blood pressure (SBP), a measure of cardiovascular risk, in people with stroke and if these measures are associated with SBP after accounting for laboratory-based measures of walking capacity.

methodsThis was a cross-sectional analysis of 276 individuals with chronic (≥ 6 months) stroke. Participants wore an activity monitor for ≥ 3 days. Measures of activity volume, activity frequency, activity intensity, and sedentary behavior were calculated. Best subset selection and lasso regression were used to determine which activity measures were most strongly associated with systolic blood pressure. Sequential linear regression was used to determine if these activity measures were associated with systolic blood pressure after accounting for walking capacity (6-Minute Walk Test).

resultsAverage bout cadence (i.e., the average steps/minute across all bouts of walking) and the number of long (≥ 30 min) sedentary bouts were most strongly associated with systolic blood pressure. After accounting for covariates (ΔR

conclusionsMeasures of activity intensity and sedentary behavior may be superior to commonly used measures, such as steps/day, when the outcome of interest is cardiovascular risk. The relationship between walking activity and cardiovascular risk cannot be inferred through laboratory-based assessments of walking capacity.

Indexed as

Cardiovascular DiseasesStrokeCross-Sectional StudiesHeart Disease Risk FactorsHumansMaleRisk FactorsWalkingBlood pressurePhysical activityReal-world monitoringStrokeWalking activity

Identifiers

PMID36242083
PMCPMC9563761
OpenAlexW4306156566

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.