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Background: Wearable activity monitors such as Fitbit enable users to track various attributes of their physical activity (PA) over time and have the potential to be used in research to promote and measure PA behavior. However, the measurement accuracy of Fitbit in absolute free-living conditions is largely unknown.
Objective: To examine the measurement congruence between Fitbit Flex and ActiGraph GT3X for quantifying steps, metabolic equivalent tasks (METs), and proportion of time in sedentary activity and light-, moderate-, and vigorous-intensity PA in healthy adults in free-living conditions.
Methods: A convenience sample of 19 participants (4 men and 15 women), aged 18-37 years, concurrently wore the Fitbit Flex (wrist) and ActiGraph GT3X (waist) for 1- or 2-week observation periods (n=3 and n=16, respectively) that included self-reported bouts of daily exercise. Data were examined for daily activity, averaged over 14 days and for minutes of reported exercise. Average day-level data included steps, METs, and proportion of time in different intensity levels. Minute-level data included steps, METs, and mean intensity score (0 = sedentary, 3 = vigorous) for overall reported exercise bouts (N=120) and by exercise type (walking, n=16; run or sports, n=44; cardio machine, n=20).
Results: Measures of steps were similar between devices for average day- and minute-level observations (all P values > .05). Fitbit significantly overestimated METs for average daily activity, for overall minutes of reported exercise bouts, and for walking and run or sports exercises (mean difference 0.70, 1.80, 3.16, and 2.00 METs, respectively; all P values < .001). For average daily activity, Fitbit significantly underestimated the proportion of time in sedentary and light intensity by 20% and 34%, respectively, and overestimated time by 3% in both moderate and vigorous intensity (all P values < .001). Mean intensity scores were not different for overall minutes of exercise or for run or sports and cardio-machine exercises (all P values > .05).
Conclusions: Fitbit Flex provides accurate measures of steps for daily activity and minutes of reported exercise, regardless of exercise type. Although the proportion of time in different intensity levels varied between devices, examining the mean intensity score for minute-level bouts across different exercise types enabled interdevice comparisons that revealed similar measures of exercise intensity. Fitbit Flex is shown to have measurement limitations that may affect its potential utility and validity for measuring PA attributes in free-living conditions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048058 | PMC |
http://dx.doi.org/10.2196/mhealth.6281 | DOI Listing |
Digit Health
May 2024
School of Medicine, Royal College of Surgeons in Ireland & Medical University Bahrain, Adliya, Bahrain.
Objective: Study patterns of physical activity and sedentary behaviour and the influence of demographics and body mass index (BMI) on these behaviours amongst Bahraini adults with type 2 diabetes over 10 weeks using an activity tracker.
Method: This cross-sectional observational study was conducted at a Bahrain government health centre. Thirty-three Bahraini Arab adults, 30-60 years old, with controlled type 2 diabetes, wore a Fitbit Flex 2 activity tracker for 10 weeks.
Meas Phys Educ Exerc Sci
September 2022
Grady College of Journalism & Mass Communication, University of Georgia.
Physical activity (PA) estimates from the Fitbit Flex 2 were compared to those from the ActiGraph GT9X Link in 123 elementary school children. Steps and intensity-specific estimates of PA and 3-month PA change were calculated using two different ActiGraph cut-points (Evenson and Romanzini). Fitbit estimates were 35% higher for steps compared to the ActiGraph.
View Article and Find Full Text PDFClin Psychol Sci
March 2023
Department of Psychology, University of South Florida, Tampa, Florida.
Although sleep loss is theorized to increase aggression risk, knowledge regarding the sleep-aggression relationship, or explanatory psychological processes, is limited. This study examined whether recent sleep duration predicted subsequent laboratory aggression, and whether neurocognitive indices of attentional and motor inhibition and negative emotional processing explained the sleep-aggression relationship. Participants (=141) wore Fitbit Flex devices and kept a sleep diary for three days.
View Article and Find Full Text PDFPLoS One
February 2023
Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Introduction/purpose: Physical activity studies often utilize wearable devices to measure participants' habitual activity levels by averaging values across several valid observation days. These studies face competing demands-available resources and the burden to study participants must be balanced with the goal to obtain reliable measurements of a person's longer-term average. Information about the number of valid observation days required to reliably measure targeted metrics of habitual activity is required to inform study design.
View Article and Find Full Text PDFPhysiother Theory Pract
May 2024
Department of Medical Oncology, St. James's Hospital, Dublin 8, Ireland.
Background: Physical activity levels are low in cancer survivors. Remotely delivered programs which harness wearable technology may potentially be beneficial.
Objective: To evaluate the feasibility and preliminary efficacy of a remotely delivered, physical activity intervention which harnessed wearable technology.
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