Validation of the Fitbit Charge 2 compared to the ActiGraph GT3X+ in older adults with knee osteoarthritis in free-living conditions
| Autor: | Taylor P. Trentadue, Heidi Y. Yang, Elena Losina, Jamie E. Collins, Yusi Gong |
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| Rok vydání: | 2018 |
| Předmět: |
Male
Social condition Knees Osteoarthritis 0302 clinical medicine Elderly Accelerometry Medicine and Health Sciences Medicine Public and Occupational Health 030212 general & internal medicine Musculoskeletal System Multidisciplinary Applied Mathematics Simulation and Modeling Sedentary behavior Middle Aged Osteoarthritis Knee Wrist Sports Science Arms Social Conditions Physical Sciences Legs Engineering and Technology Female Independent Living Anatomy Cadence Algorithms Research Article medicine.medical_specialty Science Physical activity Monitoring Ambulatory Fitness Trackers Research and Analysis Methods Pelvis 03 medical and health sciences Rheumatology Humans Sports and Exercise Medicine Exercise Aged 030203 arthritis & rheumatology Sedentary time Hip business.industry Arthritis Biology and Life Sciences Mean age Physical Activity Stride length medicine.disease Actigraphy Physical Fitness Age Groups Body Limbs People and Places Physical therapy Population Groupings Electronics Accelerometers business human activities Mathematics |
| Zdroj: | PLoS ONE PLoS ONE, Vol 14, Iss 1, p e0211231 (2019) |
| ISSN: | 1932-6203 |
| Popis: | Objective To evaluate physical activity (PA) and sedentary time in subjects with knee osteoarthritis (OA) measured by the Fitbit Charge 2 (Fitbit) and a wrist-worn ActiGraph GT3X+ (AGW) compared to the hip-worn ActiGraph (AGH). Design We recruited a cohort of subjects with knee OA from rheumatology clinics. Subjects wore the AGH for four weeks, AGW for two weeks, and Fitbit for two weeks over a four-week study period. We collected accelerometer counts (ActiGraphs) and steps (ActiGraphs, Fitbit) and calculated time spent in sedentary, light, and moderate-to-vigorous activity. We used triaxial PA intensity count cut-points from the literature for ActiGraph and a stride length-based cadence algorithm to categorize Fitbit PA. We compared Fitbit wear times calculated from a step-based algorithm and a novel algorithm that incorporates steps and heart rate (HR). Results We enrolled 15 subjects (67% female, mean age 68 years). Relative to AGH, Fitbit, on average, overestimated steps by 39% and sedentary time by 37% and underestimated MVPA by 5 minutes. Relative to AGH, AGW overestimated steps 116%, underestimated sedentary time by 66%, and captured 281 additional MVPA minutes. The step-based wear time Fitbit algorithm captured 14% less wear time than the HR-based algorithm. Conclusions Fitbit overestimates steps and underestimates MVPA in knee OA subjects. Cut-offs validated for AGW should be developed to support the use of AGW for PA assessment. The HR-based Fitbit algorithm captured more wear time than the step-based algorithm. These data provide critical insight for researchers planning to use commercially-available accelerometers in pragmatic studies. |
| Databáze: | OpenAIRE |
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