Literature DB >> 31431125

Upper Limb Performance in Daily Life Improves Over the First 12 Weeks Poststroke.

Kimberly J Waddell1, Michael J Strube1, Rachel G Tabak1, Debra Haire-Joshu1, Catherine E Lang1.   

Abstract

Background. Upper limb (UL) performance, or use, in daily life is complex and likely influenced by many factors. While the recovery trajectory of UL impairment poststroke is well documented, little is known about the recovery trajectory of sensor-measured UL performance in daily life early after stroke and the potential moderating role of psychosocial factors. Objective. To examine the recovery trajectory of UL performance within the first 12 weeks poststroke and characterize the potential moderating role of belief, confidence, and motivation on UL performance. Methods. This was a longitudinal, prospective cohort study quantifying UL performance and related psychosocial factors early after stroke. UL performance was quantified via bilateral, wrist-worn accelerometers over 5 assessment sessions for 24 hours. Belief, confidence, and motivation to use the paretic UL, and self-perceived barriers to UL recovery were quantified via survey. Change in 4 accelerometer variables and the moderating role of psychosocial factors was tested using hierarchical linear modeling. The relationship between self-perceived barriers and UL performance was tested via Spearman rank-order correlation analysis. Results. UL performance improved over the first 12 weeks after stroke. Belief, confidence, and motivation did not moderate UL performance over time. There was a negative relationship between UL performance and self-perceived barriers to UL recovery at week 2, which declined over time. Conclusions. Sensor-measured UL performance can improve early after stroke. Early after stroke, rehabilitation interventions may not need to directly target belief, confidence, and motivation but may instead focus on reducing self-perceived barriers to UL recovery.

Entities:  

Keywords:  accelerometry; confidence; psychosocial; sensors; stroke; upper limb

Mesh:

Year:  2019        PMID: 31431125      PMCID: PMC7031017          DOI: 10.1177/1545968319868716

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   4.895


  53 in total

1.  Upper limb recovery after stroke: the stroke survivors' perspective.

Authors:  R N Barker; S G Brauer
Journal:  Disabil Rehabil       Date:  2005-10-30       Impact factor: 3.033

Review 2.  Stroke rehabilitation.

Authors:  Peter Langhorne; Julie Bernhardt; Gert Kwakkel
Journal:  Lancet       Date:  2011-05-14       Impact factor: 79.321

3.  A performance test for assessment of upper limb function in physical rehabilitation treatment and research.

Authors:  R C Lyle
Journal:  Int J Rehabil Res       Date:  1981       Impact factor: 1.479

4.  Quantifying nonuse in chronic stroke patients: a study into paretic, nonparetic, and bimanual upper-limb use in daily life.

Authors:  Marian E Michielsen; Ruud W Selles; Henk J Stam; Gerard M Ribbers; Johannes B Bussmann
Journal:  Arch Phys Med Rehabil       Date:  2012-03-28       Impact factor: 3.966

5.  Disparity between functional recovery and daily use of the upper and lower extremities during subacute stroke rehabilitation.

Authors:  Debbie Rand; Janice J Eng
Journal:  Neurorehabil Neural Repair       Date:  2011-06-21       Impact factor: 3.919

6.  Defining post-stroke recovery: implications for design and interpretation of drug trials.

Authors:  P W Duncan; S M Lai; J Keighley
Journal:  Neuropharmacology       Date:  2000-03-03       Impact factor: 5.250

7.  The relation between impairments and functional outcomes poststroke.

Authors:  A T Patel; P W Duncan; S M Lai; S Studenski
Journal:  Arch Phys Med Rehabil       Date:  2000-10       Impact factor: 3.966

8.  Quantifying Real-World Upper-Limb Activity in Nondisabled Adults and Adults With Chronic Stroke.

Authors:  Ryan R Bailey; Joseph W Klaesner; Catherine E Lang
Journal:  Neurorehabil Neural Repair       Date:  2015-04-20       Impact factor: 4.895

9.  Accelerometry measuring the outcome of robot-supported upper limb training in chronic stroke: a randomized controlled trial.

Authors:  Ryanne J M Lemmens; Annick A A Timmermans; Yvonne J M Janssen-Potten; Sanne A N T D Pulles; Richard P J Geers; Wilbert G M Bakx; Rob J E M Smeets; Henk A M Seelen
Journal:  PLoS One       Date:  2014-05-13       Impact factor: 3.240

10.  PREP2: A biomarker-based algorithm for predicting upper limb function after stroke.

Authors:  Cathy M Stinear; Winston D Byblow; Suzanne J Ackerley; Marie-Claire Smith; Victor M Borges; P Alan Barber
Journal:  Ann Clin Transl Neurol       Date:  2017-10-24       Impact factor: 4.511

View more
  9 in total

1.  Upper Limb Performance in Daily Life Approaches Plateau Around Three to Six Weeks Post-stroke.

Authors:  Catherine E Lang; Kimberly J Waddell; Jessica Barth; Carey L Holleran; Michael J Strube; Marghuretta D Bland
Journal:  Neurorehabil Neural Repair       Date:  2021-10       Impact factor: 4.895

2.  Objectively measured arm use in daily life improves during the first 6 months poststroke: a longitudinal observational cohort study.

Authors:  G R H Regterschot; J B J Bussmann; Malou H J Fanchamps; Carel G M Meskers; Gerard M Ribbers; Ruud W Selles
Journal:  J Neuroeng Rehabil       Date:  2021-03-19       Impact factor: 4.262

Review 3.  Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review.

Authors:  Mariano Bernaldo de Quirós; E H Douma; Inge van den Akker-Scheek; Claudine J C Lamoth; Natasha M Maurits
Journal:  Sensors (Basel)       Date:  2022-01-28       Impact factor: 3.576

4.  Sensor-based categorization of upper limb performance in daily life of persons with and without neurological upper limb deficits.

Authors:  Jessica Barth; Keith R Lohse; Jeffrey D Konrad; Marghuertta D Bland; Catherine E Lang
Journal:  Front Rehabil Sci       Date:  2021-10-20

5.  Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke.

Authors:  Johannes Pohl; Alain Ryser; Janne Marieke Veerbeek; Geert Verheyden; Julia Elisabeth Vogt; Andreas Rüdiger Luft; Chris Awai Easthope
Journal:  Front Physiol       Date:  2022-09-28       Impact factor: 4.755

6.  Whole-Body Movements Increase Arm Use Outcomes of Wrist-Worn Accelerometers in Stroke Patients.

Authors:  Gerrit Ruben Hendrik Regterschot; Ruud W Selles; Gerard M Ribbers; Johannes B J Bussmann
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

7.  Relationships between accelerometry and general compensatory movements of the upper limb after stroke.

Authors:  Jessica Barth; Joeseph W Klaesner; Catherine E Lang
Journal:  J Neuroeng Rehabil       Date:  2020-10-20       Impact factor: 4.262

8.  Relationship Between Body-Specific Attention to a Paretic Limb and Real-World Arm Use in Stroke Patients: A Longitudinal Study.

Authors:  Ryoji Otaki; Yutaka Oouchida; Naoki Aizu; Tamami Sudo; Hiroshi Sasahara; Yuki Saito; Sunao Takemura; Shin-Ichi Izumi
Journal:  Front Syst Neurosci       Date:  2022-02-22

9.  Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery.

Authors:  Catherine Adans-Dester; Nicolas Hankov; Anne O'Brien; Gloria Vergara-Diaz; Randie Black-Schaffer; Ross Zafonte; Jennifer Dy; Sunghoon I Lee; Paolo Bonato
Journal:  NPJ Digit Med       Date:  2020-09-21
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.