Literature DB >> 32476881

Measuring activity in patients with sarcoidosis - a pilot trial of two wrist-worn accelerometer devices.

Christopher P Atkins1,2, Andy P Jones1, Andrew M Wilson1,2.   

Abstract

Introduction: Increasing physical activity is associated with health benefits. Reduced physical activity has been noted in sarcoidosis, particularly where fatigue co-exists. Monitoring physical activity is possible with wrist-worn devices. This study compared two available devices to determine patient preference and compare wear-time, with a secondary outcome of comparing device outputs with fatigue scores.
Methods: Patients with sarcoidosis wore two wrist-worn activity monitors (GENEActiv actiwatch and Actigraph GT3X-bt) separately for seven days each. Participants were randomly allocated to receive either device first. Participants completed the Fatigue Assessment Scale (FAS) questionnaire immediately before wearing the first device. All participants completed a questionnaire of their perception regarding each device after the wear period. Data from the devices was analysed for total wear time, time spent in moderate or vigorous activity (MVPA) and for time spent in sedentary behaviours.
Results: Twelve patients with sarcoidosis were included. The GENEActiv device was preferred by ten (83.3%) participants. Wear time was greater with the GENEActiv device (1354 minutes/day vs 1079 minutes/day). Time spent in MVPA was slightly higher when recorded by the GENEActiv compared with the Actigraph. Moderately strong correlation was seen between FAS scores and sedentary time (r=-0.554), light activity (r=-0.585) and moderate activity (r=0.506). Discussion: A clear preference was demonstrated for the GENEActiv. This was reflected in higher wear time and suggests the device can be comfortably worn 24 hours per day. Data from this small cohort also suggests there is correlation between fatigue and activity scores in patients with sarcoidosis. (Sarcoidosis Vasc Diffuse Lung Dis 2018; 35: 62-68). Copyright:
© 2018.

Entities:  

Keywords:  accelerometers; activity; sarcoidosis

Year:  2018        PMID: 32476881      PMCID: PMC7170060          DOI: 10.36141/svdld.v35i1.5848

Source DB:  PubMed          Journal:  Sarcoidosis Vasc Diffuse Lung Dis        ISSN: 1124-0490            Impact factor:   0.670


  30 in total

Review 1.  Physical activity assessment with accelerometers: an evaluation against doubly labeled water.

Authors:  Guy Plasqui; Klaas R Westerterp
Journal:  Obesity (Silver Spring)       Date:  2007-10       Impact factor: 5.002

Review 2.  A guide to assessing physical activity using accelerometry in cancer patients.

Authors:  J M Broderick; J Ryan; D M O'Donnell; J Hussey
Journal:  Support Care Cancer       Date:  2014-01-04       Impact factor: 3.603

Review 3.  The Clinical Features of Sarcoidosis: A Comprehensive Review.

Authors:  Marc A Judson
Journal:  Clin Rev Allergy Immunol       Date:  2015-08       Impact factor: 8.667

4.  Features of sarcoidosis associated with chronic disease.

Authors:  Robert P Baughman; Elyse E Lower
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2015-01-05       Impact factor: 0.670

5.  Role of Sleep Disturbance, Depression, Obesity, and Physical Inactivity in Fatigue in Rheumatoid Arthritis.

Authors:  Patricia Katz; Mary Margaretten; Laura Trupin; Gabriela Schmajuk; Jinoos Yazdany; Edward Yelin
Journal:  Arthritis Care Res (Hoboken)       Date:  2016-01       Impact factor: 4.794

6.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

7.  Measuring fatigue in sarcoidosis: the Fatigue Assessment Scale (FAS).

Authors:  Jolanda De Vries; Helen Michielsen; Guus L Van Heck; Marjolein Drent
Journal:  Br J Health Psychol       Date:  2004-09

8.  Validation of the GENEA Accelerometer.

Authors:  Dale W Esliger; Ann V Rowlands; Tina L Hurst; Michael Catt; Peter Murray; Roger G Eston
Journal:  Med Sci Sports Exerc       Date:  2011-06       Impact factor: 5.411

9.  Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status.

Authors:  Sander M Slootmaker; Albertine J Schuit; Marijke Jm Chinapaw; Jacob C Seidell; Willem van Mechelen
Journal:  Int J Behav Nutr Phys Act       Date:  2009-03-25       Impact factor: 6.457

10.  A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer.

Authors:  Vincent T van Hees; Séverine Sabia; Kirstie N Anderson; Sarah J Denton; James Oliver; Michael Catt; Jessica G Abell; Mika Kivimäki; Michael I Trenell; Archana Singh-Manoux
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

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  1 in total

1.  A Comparative Study on the Suitability and Treatment Compliance of an Improved Wristband Wearing Method Compared with the Traditional Method.

Authors:  Jing Wang; Xiaoyan Zhao; Jing Huang; Xiaoyu Cao; Shibo Pan; Hua Jin
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

  1 in total

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