Literature DB >> 29434419

Physical Activity of ICU Survivors during Acute Admission: Agreement of the activPAL with Observation.

Claire E Baldwin1,2, Kylie N Johnston1, Alex V Rowlands1,3,4,5, Marie T Williams1,5.   

Abstract

Purpose: We estimated the agreement of a thigh-worn accelerometer, the activPAL, used to measure activity and sedentary parameters, with observed mobility assessments of intensive care unit (ICU) survivors. Method: We prospectively compared activPAL measurements with direct observation during assessments at discharge from the ICU or acute hospital in eight participants with a median age of 56 (1st-3rd quartile 48-65) years and an Acute Physiology and Chronic Health Evaluation II score of 23 (1st-3rd quartile 17-24). Frequency of sit-to-stand transitions; time spent standing, stepping, upright (standing and stepping), and sedentary (lying/sitting); and total steps were described; analysis was performed using Bland-Altman plots and calculating the absolute percent error.
Results: All sit-to-stand transitions were accurately detected. The mean difference on the Bland-Altman plots suggested an overestimation of standing time with the activPAL of 31 (95% CI: -9, 71) seconds and underestimation of stepping time by 25 (95% CI: -47, -3) seconds. The largest median absolute percent errors were for standing time (21.9%) and stepping time (18.7%); time spent upright (1.7%) or sedentary (0.3%) was more accurately estimated. The activPAL underestimated total steps per session, achieving the largest percent error (70.8%).
Conclusion: Because it underestimated step count, the activPAL likely incorrectly recorded stepping time as standing time, so that time spent upright was the measure of activity with the smallest error. Sedentary behaviour, including frequency of transitions, was validly assessed.

Entities:  

Keywords:  accelerometry; exercise; intensive care units; physical therapy; validation studies

Year:  2018        PMID: 29434419      PMCID: PMC5802956          DOI: 10.3138/ptc.2016-61

Source DB:  PubMed          Journal:  Physiother Can        ISSN: 0300-0508            Impact factor:   1.037


  17 in total

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Authors:  J M Bland; D G Altman
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

2.  Activity in the chronically critically ill.

Authors:  Chris Winkelman; Patricia A Higgins; Yea-Jyh Kathy Chen
Journal:  Dimens Crit Care Nurs       Date:  2005 Nov-Dec

3.  Prospective observation of physical activity in critically ill patients who were intubated for more than 48 hours.

Authors:  Susan C Berney; Joleen W Rose; Julie Bernhardt; Linda Denehy
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4.  Physical activity, muscle strength, and exercise capacity 3 months after severe sepsis and septic shock.

Authors:  Rodrigo Cerqueira Borges; Celso R F Carvalho; Alexandra Siqueira Colombo; Mariucha Pereira da Silva Borges; Francisco Garcia Soriano
Journal:  Intensive Care Med       Date:  2015-06-25       Impact factor: 17.440

5.  Physiotherapists systematically overestimate the amount of time stroke survivors spend engaged in active therapy rehabilitation: an observational study.

Authors:  Gurpreet Kaur; Coralie English; Susan Hillier
Journal:  J Physiother       Date:  2013-03       Impact factor: 7.000

6.  Evaluation of a body-worn sensor system to measure physical activity in older people with impaired function.

Authors:  Kristin Taraldsen; Torunn Askim; Olav Sletvold; Elin Kristin Einarsen; Karianne Grüner Bjåstad; Bent Indredavik; Jorunn Laegdheim Helbostad
Journal:  Phys Ther       Date:  2011-01-06

7.  Inpatient Walking Activity to Predict Readmission in Older Adults.

Authors:  Steve R Fisher; James E Graham; Kenneth J Ottenbacher; Rachel Deer; Glenn V Ostir
Journal:  Arch Phys Med Rehabil       Date:  2016-06-02       Impact factor: 3.966

8.  Observation of amounts of movement practice provided during stroke rehabilitation.

Authors:  Catherine E Lang; Jillian R Macdonald; Darcy S Reisman; Lara Boyd; Teresa Jacobson Kimberley; Sheila M Schindler-Ivens; T George Hornby; Sandy A Ross; Patricia L Scheets
Journal:  Arch Phys Med Rehabil       Date:  2009-10       Impact factor: 3.966

Review 9.  Objective measurement of sedentary behaviour using accelerometers.

Authors:  B Byrom; G Stratton; M Mc Carthy; W Muehlhausen
Journal:  Int J Obes (Lond)       Date:  2016-08-01       Impact factor: 5.095

10.  The influence of minimum sitting period of the ActivPAL™ on the measurement of breaks in sitting in young children.

Authors:  Zubaida Alghaeed; John J Reilly; Sebastien F M Chastin; Anne Martin; Gwyneth Davies; James Y Paton
Journal:  PLoS One       Date:  2013-08-14       Impact factor: 3.240

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Authors:  Kristin E Schwab; An Q To; Jennifer Chang; Bonnie Ronish; Dale M Needham; Jennifer L Martin; Biren B Kamdar
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2.  Quantifying Mobility in the ICU: Comparison of Electronic Health Record Documentation and Accelerometer-Based Sensors to Clinician-Annotated Video.

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3.  Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project.

Authors:  David Thivel; Alice Corteval; Jean-Marie Favreau; Emmanuel Bergeret; Ludovic Samalin; Frédéric Costes; Farouk Toumani; Christian Dualé; Bruno Pereira; Alain Eschalier; Nicole Fearnbach; Martine Duclos; Anne Tournadre
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4.  Validation of a wireless patch sensor to monitor mobility tested in both an experimental and a hospital setup: A cross-sectional study.

Authors:  Niek Koenders; Joost P H Seeger; Teun van der Giessen; Ties J van den Hurk; Indy G M Smits; Anne M Tankink; Maria W G Nijhuis-van der Sanden; Thomas J Hoogeboom
Journal:  PLoS One       Date:  2018-10-25       Impact factor: 3.240

5.  Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study.

Authors:  Ben Kim; Miranda Hunt; John Muscedere; David M Maslove; Joon Lee
Journal:  JMIR Aging       Date:  2021-02-23
  5 in total

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