scholarly journals Criterion validity of a wrist-worn activity tracker in laboratory and free-living setting in patients with chronic pain (Preprint)

10.2196/24806 ◽  
2020 ◽  
Author(s):  
Veronica Sjöberg ◽  
Jens Westergren ◽  
Andreas Monnier ◽  
Ricardo LoMartire ◽  
Maria Hagströmer ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Criterion Validity ◽  
Free Living ◽  
Activity Tracker

scholarly journals Criterion validity of a wrist-worn activity tracker in laboratory and free-living setting in patients with chronic pain (Preprint)

2020 ◽  
Author(s):  
Veronica Sjöberg ◽  
Jens Westergren ◽  
Andreas Monnier ◽  
Ricardo LoMartire ◽  
Maria Hagströmer ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Criterion Validity ◽  
Step Count ◽  
Fair Agreement ◽  
Laboratory Setting ◽  
Poor Agreement ◽  
Activity Tracking ◽  
Free Living ◽  
Activity Tracker ◽  
Tracking Devices

BACKGROUND Physical Activity (PA) is evidently a crucial part of the rehabilitation process for patients suffering from chronic pain. Modern wrist-worn activity tracking devices seemingly have a great potential to provide objective feedback and assist in the adoption of healthy PA behavior by supplying data of energy expenditure expressed as Metabolic Equivalents (METS). However, no studies have been found of any wrist-worn activity tracking devices’ criterion validity in estimating METS, heart rate (HR), or step count in patients with chronic pain. OBJECTIVE The aim was to determine the criterion validity of wrist-worn activity tracking devices for estimations of METS, HR, and step count in a controlled laboratory setting and free-living settings for patients with chronic pain. METHODS In this combined laboratory and field validation study, METS, HR, and step count were simultaneously estimated by a wrist-worn activity tracker (Fitbit Versa), indirect calorimetry (Jaeger Oxycon Pro), and a research-grade hip-worn accelerometer (ActiGraph GT3X) during a treadmill walk at three speeds (3.0, 4.5, and 6.0 km/h) in a laboratory setting. METS and step count were also estimated by the wrist-worn activity tracker in free-living settings for 72 hours. The criterion validity was determined by conventional statistics (ICC and Spearman rho) and graphical plots (Bland-Altman Plots) as well as by Mean Absolute Percentage Error (MAPE). Analysis of Variance (ANOVA) was used to determine any significant systematic differences between estimations. RESULTS A total of 42 patients (76% females), 25-66 years of age, with chronic pain, were included. Results showed that the wrist-worn activity tracking devices (Fitbit Versa) systematically overestimated METS when compared to the criterion measurement (Jaeger Oxycon Pro) and the relative criterion measurement (ActiGraph GT3X). Poor agreement and correlation was shown in estimated METS between Fitbit Versa and both Jaeger Oxycon Pro and ActiGraph GT3X at all treadmill speeds. Estimations of HR emerged with poor to fair agreement during laboratory-based treadmill walks. For step count, the wrist-worn devices showed a fair agreement and fair correlation at most treadmill speeds. In free-living settings, however, the agreement of step count between wrist-worn devices and waist-worn accelerometer was good, and the correlation was excellent. CONCLUSIONS The wrist-worn device systematically overestimated METS and showed poor agreement and correlation compared to the criterion measurement (Jaeger Oxycon Pro) and the relative criterion measurement (ActiGraph GT3X), which needs to be considered when used clinically. Step count measured from the wrist, however, seemed to be a valid estimation, suggesting that future guidelines could include such variables in this group with chronic pain. CLINICALTRIAL Not applicable in this study

Concurrent validity of Nokia Go activity tracker in walking and free‐living conditions

2019 ◽  
Vol 26 (1) ◽  
pp. 223-228 ◽  
Author(s):  
Julien Lebleu ◽  
Christine Detrembleur ◽  
Camille Guebels ◽  
Pauline Hamblenne ◽  
Maxime Valet
Keyword(s):  
Concurrent Validity ◽  
Living Conditions ◽  
Free Living ◽  
Activity Tracker ◽  
Free Living Conditions

Comparison of Fitbit One and ActivPAL3TM in Adults With Multiple Sclerosis in a Free-Living Environment

2021 ◽  
Vol 4 (3) ◽  
pp. 257-265
Author(s):  
Golnoush Mehrabani ◽  
Douglas P. Gross ◽  
Saeideh Aminian ◽  
Patricia J. Manns
Keyword(s):  
Multiple Sclerosis ◽  
Gait Speed ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Living Environment ◽  
Free Living ◽  
Step Counts ◽  
Intraclass Correlation Coefficients ◽  
Activity Tracker ◽  
User Friendly

Walking is the most common and preferred way for people with multiple sclerosis (MS) to be active. Consumer-grade wearable activity monitors may be used as a tool to assist people with MS to track their walking by counting the number of steps. The authors evaluated the validity of Fitbit One activity tracker in individuals with MS by comparing step counts measured over a 7-day period against ActivPAL3TM (AP). Twenty-five ambulatory adults with MS with an average age 51.7 (10.2) years and gait speed 0.98 (0.47) m/s, median Expanded Disability Status Scale 5.5 (2.5–6.5), and 15 years post-MS diagnosis wore Fitbit One (using both waist and ankle placement) and AP for 7 consecutive days. Validity of Fitbit One for measuring step counts against AP was assessed using intraclass correlation coefficients (ICCs), Bland–Altman plots, and t tests. Regardless of wearing location (waist or ankle), there was good agreement between steps recorded by Fitbit One and AP (ICC: .86 [.82, .90]). The ankle-worn Fitbit measured steps more accurately (ICC: .91 [.81, .95]) than the waist-worn Fitbit (ICC: .81 [.62, .85]) especially in individuals (n = 12) who walked slowly (gait speed = 0.74 m/s). Fitbit One as a user-friendly, inexpensive, consumer-grade activity tracker can accurately record steps in persons with MS in a free-living environment.

Validation of the Fitbit Wireless Activity Tracker for Prediction of Energy Expenditure

2015 ◽  
Vol 12 (2) ◽  
pp. 149-154 ◽  
Author(s):  
Jeffer Eidi Sasaki ◽  
Amanda Hickey ◽  
Marianna Mavilia ◽  
Jacquelynne Tedesco ◽  
Dinesh John ◽  
...  
Keyword(s):  
Weight Loss ◽  
Energy Expenditure ◽  
Energy Deficit ◽  
Limits Of Agreement ◽  
Free Living ◽  
Metabolic System ◽  
Activity Tracker

Objective:The purpose of this study was to examine the accuracy of the Fitbit wireless activity tracker in assessing energy expenditure (EE) for different activities.Methods:Twenty participants (10 males, 10 females) wore the Fitbit Classic wireless activity tracker on the hip and the Oxycon Mobile portable metabolic system (criterion). Participants performed walking and running trials on a treadmill and a simulated free-living activity routine. Paired t tests were used to test for differences between estimated (Fitbit) and criterion (Oxycon) kcals for each of the activities.Results:Mean bias for estimated energy expenditure for all activities was −4.5 ± 1.0 kcals/6 min (95% limits of agreement: −25.2 to 15.8 kcals/6 min). The Fitbit significantly underestimated EE for cycling, laundry, raking, treadmill (TM) 3 mph at 5% grade, ascent/descent stairs, and TM 4 mph at 5% grade, and significantly overestimated EE for carrying groceries. Energy expenditure estimated by the Fitbit was not significantly different than EE calculated from the Oxycon Mobile for 9 activities.Conclusion:The Fitbit worn on the hip significantly underestimates EE of activities. The variability in underestimation of EE for the different activities may be problematic for weight loss management applications since accurate EE estimates are important for tracking/monitoring energy deficit.

scholarly journals Persistence of pain in humans and other mammals

2019 ◽  
Vol 374 (1785) ◽  
pp. 20190276 ◽  
Author(s):  
Amanda C. de C. Williams
Keyword(s):  
Chronic Pain ◽  
Companion Animals ◽  
Research Literature ◽  
Farm Animals ◽  
Rodent Models ◽  
Apparent Absence ◽  
Free Living ◽  
Veterinary Research ◽  
Laboratory Rodents ◽  
Return To Activity

Evolutionary models of chronic pain are relatively undeveloped, but mainly concern dysregulation of an efficient acute defence, or false alarm. Here, a third possibility, mismatch with the modern environment, is examined. In ancestral human and free-living animal environments, survival needs urge a return to activity during recovery, despite pain, but modern environments allow humans and domesticated animals prolonged inactivity after injury. This review uses the research literature to compare humans and other mammals, who share pain neurophysiology, on risk factors for pain persistence, behaviours associated with pain, and responses of conspecifics to behaviours. The mammal populations studied are mainly laboratory rodents in pain research, and farm and companion animals in veterinary research, with observations of captive and free-living primates. Beyond farm animals and rodent models, there is virtually no evidence of chronic pain in other mammals. Since evidence is sparse, it is hard to conclude that it does not occur, but its apparent absence is compatible with the mismatch hypothesis. This article is part of the Theo Murphy meeting issue ‘Evolution of mechanisms and behaviour important for pain’.

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