Literature DB >> 33691506

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

Reed Handlery1, Elizabeth W Regan2, Jill C Stewart2, Christine Pellegrini3, Courtney Monroe4, Garrett Hainline2, Kaci Handlery5, Stacy L Fritz2.   

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.

Entities:  

Keywords:  cardiovascular diseases; depression; goal; motivation; receiver operating characteristic curve

Mesh:

Year:  2021        PMID: 33691506      PMCID: PMC8085080          DOI: 10.1161/STROKEAHA.121.034249

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  54 in total

1.  Adherence to accelerometry measurement of community ambulation poststroke.

Authors:  Sharon Barak; Samuel S Wu; Yunfeng Dai; Pamela W Duncan; Andrea L Behrman
Journal:  Phys Ther       Date:  2013-09-12

2.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

3.  Combining Fast-Walking Training and a Step Activity Monitoring Program to Improve Daily Walking Activity After Stroke: A Preliminary Study.

Authors:  Kelly A Danks; Ryan Pohlig; Darcy S Reisman
Journal:  Arch Phys Med Rehabil       Date:  2016-05-27       Impact factor: 3.966

Review 4.  Evidence for the effectiveness of walking training on walking and self-care after stroke: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Sinikka H Peurala; Auli H Karttunen; Tuulikki Sjögren; Jaana Paltamaa; Ari Heinonen
Journal:  J Rehabil Med       Date:  2014-05       Impact factor: 2.912

5.  Reduced ambulatory activity after stroke: the role of balance, gait, and cardiovascular fitness.

Authors:  Kathleen M Michael; Jerilyn K Allen; Richard F Macko
Journal:  Arch Phys Med Rehabil       Date:  2005-08       Impact factor: 3.966

6.  Body-weight-supported treadmill rehabilitation after stroke.

Authors:  Pamela W Duncan; Katherine J Sullivan; Andrea L Behrman; Stanley P Azen; Samuel S Wu; Stephen E Nadeau; Bruce H Dobkin; Dorian K Rose; Julie K Tilson; Steven Cen; Sarah K Hayden
Journal:  N Engl J Med       Date:  2011-05-26       Impact factor: 91.245

7.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

8.  Fatigue and activity after stroke. Secondary results from the Life After Stroke study.

Authors:  Ragnhild Sunde Braaten; Torunn Askim; Mari Gunnes; Bent Indredavik
Journal:  Physiother Res Int       Date:  2020-05-19

9.  Submaximal exercise in persons with stroke: test-retest reliability and concurrent validity with maximal oxygen consumption.

Authors:  Janice J Eng; Andrew S Dawson; Kelly S Chu
Journal:  Arch Phys Med Rehabil       Date:  2004-01       Impact factor: 3.966

10.  Influence of marital status on physical activity levels among older adults.

Authors:  Kelley K Pettee; Jennifer S Brach; Andrea M Kriska; Robert Boudreau; Caroline R Richardson; Lisa H Colbert; Suzanne Satterfield; Marjolein Visser; Tamara B Harris; Hilsa N Ayonayon; Anne B Newman
Journal:  Med Sci Sports Exerc       Date:  2006-03       Impact factor: 5.411

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