Evidence map›Paper›PMID 33691506›Full record

Trial reportStroke2021

Predictors of Daily Steps at 1-Year Poststroke: A Secondary Analysis of a Randomized Controlled Trial.

Reed Handlery, Elizabeth W Regan, Jill C Stewart, Christine Pellegrini, Courtney Monroe, Garrett Hainline, Kaci Handlery, Stacy L Fritz

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Stroke, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

8 authors.

Reed HandleryArkansas Colleges of Health Education, School of Physical Therapy, Fort Smith, AR (R.H.).
Elizabeth W ReganDepartment of Exercise Science, Physical Therapy Program, University of South Carolina (E.W.R., J.C.S., G.H., S.L.F.).
Jill C StewartDepartment of Exercise Science, Physical Therapy Program, University of South Carolina (E.W.R., J.C.S., G.H., S.L.F.).
Christine PellegriniDepartment of Exercise Science, University of South Carolina (C.P.).
Courtney MonroeDepartment of Health Promotion, Education, and Behavior, University of South Carolina (C.M.).
Garrett HainlineDepartment of Exercise Science, Physical Therapy Program, University of South Carolina (E.W.R., J.C.S., G.H., S.L.F.).
Kaci HandleryArkansas Colleges of Health Education, School of Physical Therapy (K.H.).
Stacy L FritzDepartment of Exercise Science, Physical Therapy Program, University of South Carolina (E.W.R., J.C.S., G.H., S.L.F.).

Funding

Locomotor Experience Applied Post-Stroke (LEAPS)R01NS050506 · NINDS · UNIVERSITY OF FLORIDA · PI DUNCAN, PAMELA W. · 2005 to 2009
$13.3M
TRANScranial direct current stimulation for POst-stroke motor Recover - a phase II sTudy (TRANSPORT 2)U01NS102353 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FENG, WUWEI, SCHLAUG, GOTTFRIED · 2018 to 2023
$8.5M
SCH: INT: Inferring at home gait parameters of older adults using floor vibrations R01AG067395 · NIA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI CAICEDO, JUAN MARTIN, JIANG, ZHAOSHUO · 2019 to 2022
$1.2M
Mitigating Injurious Falls in Older Adults Through Non-Injurious Fall and Gait Analysis From Floor VibrationsR41AG059475 · NIA · ADVANCED SMART SYSTEMS/EVALUATION TECHNO · PI FRITZ, STACY LYNNE · 2018 to 2018
$225k
NIA NIH HHS R01 AG067395NIA NIH HHS R41 AG059475NINDS NIH HHS R01 NS050506NINDS NIH HHS U01 NS102353
6 · The paper itself

Abstract

Background and Purpose: Walking has the potential to improve endurance and community participation after stroke. Obtaining ≥6000 daily steps can decrease subsequent stroke risk. Early identification of those prone to low daily steps could facilitate interventions that lead to increased walking and improved health. The purpose of this study was to (1) determine which factors at 2 months poststroke can predict daily step counts at 1 year and (2) determine what step count at 2 months corresponds to obtaining ≥6000 daily steps at 1-year poststroke. Methods: This was a secondary analysis of data from the Locomotor Experience Applied Post Stroke trial, which enrolled participants with walking speeds <0.80 m/second at 2 months poststroke. Daily steps were assessed at 2 months and 1-year poststroke. Linear regression was used to predict daily step counts at 1 year based on factors including age, sex, race and/or ethnicity, stroke severity, walking speed, endurance, fitness, motor function, balance, and balance confidence. A receiver operating characteristic curve determined which step count corresponded to reaching ≥6000 steps at 1 year. Results: Data from 206 participants, mean age=63 (13) years, 43% female, mean baseline daily step count=2922 (2749) steps, were analyzed. The final model to predict daily steps at 1 year poststroke contained daily steps at 2 months and balance (Berg Balance Scale score); these factors explained 38% of the variability in daily steps at 1 year (P≤0.001). Participants obtaining ≥1632 daily steps at 2 months were 1.86 (95% CI, 1.52–2.27) times more likely to reach ≥6000 daily steps at 1-year poststroke. Conclusions: Daily steps and balance at 2 months poststroke were the strongest predictors of future daily steps. Improving daily physical activity and targeting balance early after stroke may be necessary to increase physical activity at 1-year poststroke.

Indexed as

Stroke RehabilitationAgedExerciseFemaleHumansMaleMiddle AgedMotivationStrokeWalkingWalking Speedcardiovascular diseasesdepressiongoalmotivationreceiver operating characteristic curve

Identifiers

PMID33691506
PMCPMC8085080

What OpenQuestion holds

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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.