Preliminary concurrent validity of the Fitbit-Zip and ActiGraph activity monitors for measuring steps in people with polymyalgia rheumatica.

BACKGROUND Activity monitors provide objective measurements of physical activity, however, the accuracy of these devices in people with polymyalgia rheumatica (PMR) is unknown. Therefore, this study aimed to obtain preliminary evidence of the accuracy of two activity monitors and explore if clinical and gait-related factors altered device accuracy in people with PMR. METHODS The ActiGraph with low frequency extension (+LFE) and standard (-LFE) algorithms, Fitbit-Zip (waist) and Fitbit-Zip (shirt) were concurrently tested using a two-minute walk test (2MWT) and stairs test in 27 people with PMR currently treated with prednisolone. To determine accuracy, activity monitor step-count was compared to a gold-standard step-count (GSSC; calculated from video recording) using Bland-Altman plots. RESULTS The Fitbit-Zip (waist) achieved closest agreement to the GSSC for the 2MWT (mean bias (95%CI): 10 (-3, 23); 95%LOA: -55, 74). The ActiGraph (+LFE) achieved closest agreement to the GSSC for the stairs test (mean bias (95%CI): 0 (-1, 1); 95%LOA: -5, 5). The ActiGraph (-LFE) performed poorly in both tests. All devices demonstrated reduced accuracy in participants with lower gait velocity, reduced stride length, longer double-limb support phase and greater self-reported functional impairment. CONCLUSION Our preliminary results suggest that in controlled conditions, the Fitbit-Zip fairly accurately measures step-count during walking in people with PMR receiving treatment. However, device error was greater than data published in healthy people. The ActiGraph may not be recommended without activation of the LFE. We identified clinical and gait-related factors associated with higher levels of functional impairment that reduced device accuracy. Further work is required to evaluate the validity of the activity monitors in field conditions.

[1]  W. Zijlstra,et al.  Detection of walking periods and number of steps in older adults and patients with Parkinson's disease: accuracy of a pedometer and an accelerometry-based method. , 2008, Age and ageing.

[2]  P. S. St John,et al.  Comparison of ActiGraph GT3X+ and StepWatch Step Count Accuracy in Geriatric Rehabilitation Patients. , 2016, Journal of aging and physical activity.

[3]  Cara M. Wall-Scheffler,et al.  Gender differences in walking and running on level and inclined surfaces. , 2008, Clinical biomechanics.

[4]  George D Fulk,et al.  Accuracy of 2 Activity Monitors in Detecting Steps in People With Stroke and Traumatic Brain Injury , 2013, Physical Therapy.

[5]  K. Barraclough,et al.  BSR and BHPR guidelines for the management of polymyalgia rheumatica. , 2010, Rheumatology.

[6]  S. Kalke,et al.  A study of the health assessment questionnaire to evaluate functional status in polymyalgia rheumatica. , 2000, Rheumatology.

[7]  Richard W. Bohannon Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. , 1997, Age and ageing.

[8]  Mark G Abel,et al.  Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults. , 2008, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[9]  E. Chiauzzi,et al.  Patient-centered activity monitoring in the self-management of chronic health conditions , 2015, BMC Medicine.

[10]  R. Riener,et al.  Stair ascent and descent at different inclinations. , 2002, Gait & posture.

[11]  Maggie Killington,et al.  Accuracy of the FitBit at walking speeds and cadences relevant to clinical rehabilitation populations. , 2016, Disability and health journal.

[12]  Junkai Xu,et al.  Validity of FitBit, Jawbone UP, Nike+ and other wearable devices for level and stair walking. , 2016, Gait & posture.

[13]  A. Kriska,et al.  Gait speed and step-count monitor accuracy in community-dwelling older adults. , 2008, Medicine and science in sports and exercise.

[14]  E. Matteson,et al.  Current evidence for therapeutic interventions and prognostic factors in polymyalgia rheumatica: a systematic literature review informing the 2015 European League Against Rheumatism/American College of Rheumatology recommendations for the management of polymyalgia rheumatica , 2015, Annals of the rheumatic diseases.

[15]  D. Altman,et al.  A note on the use of the intraclass correlation coefficient in the evaluation of agreement between two methods of measurement. , 1990, Computers in biology and medicine.

[16]  J. Schwartz,et al.  Abstract MP11: Fitbit: An Accurate and Reliable Device for Wireless Physical Activity Tracking , 2015 .

[17]  Shaw Bronner,et al.  Comparison of steps and energy expenditure assessment in adults of Fitbit Tracker and Ultra to the Actical and indirect calorimetry , 2013, Journal of medical engineering & technology.

[18]  Anthony C. Redmond,et al.  Concurrent validation of activity monitors in patients with rheumatoid arthritis , 2013, Clinical biomechanics.

[19]  K. Chakravarty,et al.  Clinical outcomes, quality of life, and diagnostic uncertainty in the first year of polymyalgia rheumatica. , 2007, Arthritis and rheumatism.

[20]  Jeffrey M. Hausdorff,et al.  Sex-specific differences in gait patterns of healthy older adults: results from the Baltimore Longitudinal Study of Aging. , 2011, Journal of biomechanics.

[21]  D. Cella,et al.  Validation of the Functional Assessment of Chronic Illness Therapy Fatigue Scale relative to other instrumentation in patients with rheumatoid arthritis. , 2005, The Journal of rheumatology.

[22]  L. Smeeth,et al.  Incidence of diagnosed polymyalgia rheumatica and temporal arteritis in the United Kingdom, 1990–2001 , 2006, Annals of the rheumatic diseases.

[23]  D. Kerrigan,et al.  Predicting peak kinematic and kinetic parameters from gait speed. , 2003, Gait & posture.

[24]  W. Zijlstra,et al.  Wearable systems for monitoring mobility-related activities in older people: a systematic review , 2008, Clinical rehabilitation.

[25]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[26]  Helena M. Mentis,et al.  Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions. , 2017, Gait & posture.

[27]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[28]  Catherine Sherrington,et al.  Validity of the Fitbit activity tracker for measuring steps in community-dwelling older adults , 2015, BMJ Open Sport & Exercise Medicine.

[29]  M. Eliasziw,et al.  Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example. , 1994, Physical therapy.

[30]  Dinesh John,et al.  Validity of Activity Monitor Step Detection Is Related to Movement Patterns. , 2016, Journal of physical activity & health.

[31]  P. Williamson,et al.  Design and analysis of pilot studies: recommendations for good practice. , 2004, Journal of evaluation in clinical practice.

[32]  Tim Olds,et al.  The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: a cross-sectional study , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[33]  C. Mallen,et al.  Polymyalgia rheumatica , 2013, BMJ.

[34]  David R Bassett,et al.  Evaluation of ActiGraph's low-frequency filter in laboratory and free-living environments. , 2015, Medicine and science in sports and exercise.

[35]  Mark Latt,et al.  Reliability of the GAITRite walkway system for the quantification of temporo-spatial parameters of gait in young and older people. , 2004, Gait & posture.

[36]  M. Hagströmer,et al.  Comparison of two accelerometer filter settings in individuals with Parkinson’s disease , 2014, Physiological measurement.

[37]  Kristin Taraldsen,et al.  Evaluation of a Body-Worn Sensor System to Measure Physical Activity in Older People With Impaired Function , 2011, Physical Therapy.

[38]  Barbara E Ainsworth,et al.  Comparison of pedometer and accelerometer measures of free-living physical activity. , 2002, Medicine and science in sports and exercise.