Who Uses Wearable Activity Trackers and Why? A Comparison of Former and Current Users in the United States

2020 ◽  
Vol 34 (7) ◽  
pp. 762-769
Author(s):  
Ciarán P. Friel ◽  
Carol Ewing Garber
Keyword(s):  
Physical Activity ◽  
Average Length ◽  
Physical Activity Behavior ◽  
The United States ◽  
Web Based ◽  
Shared Data ◽  
Activity Trackers ◽  
Wearable Activity Trackers ◽  
Average Current ◽  
Activity Behavior

Background: There has been an explosion in the use of wearable activity trackers (WATs), but we do not fully understand who wears them and why. This study’s purpose was to describe the characteristics of WAT users and to compare current and former users. Materials and Methods: A variety of internet-based resources (eg, Craigslist, Facebook) were used to recruit current and former WAT users. Respondents completed a web-based survey, where they provided information on sociodemographic characteristics, health, physical activity behavior, and about their WAT use. Results: Of the 2826 respondents who gave informed consent, 70.8% (n = 2002) met inclusion criteria for this analysis. Respondents ranged from 18 to 81 years old (mean 32.9 ± 12.2 standard deviation) with 73.8% women. Most were current WAT users (68.7%), and the average length of WAT use overall was 9.3 ± 9.7 months. On average, current users wore the device for 3.7 months longer than former users. Compared to current users, former users had a lower body mass index (1.2 kg/m2 less), reported fewer medical conditions, shared data from their device less often, and received the device as a gift more frequently. Conclusions: Current and former users varied in their reasons for using a WAT and how they used their device. Differences identified between these groups support further exploration of associations between WAT users’ profiles and their physical activity behavior.

scholarly journals Evaluation of a cognitive affective model of physical activity behavior

2020 ◽  
Vol 10 (1) ◽  
pp. 88-93
Author(s):  
Paul D. Loprinzi ◽  
Sara Pazirei ◽  
Gina Robinson ◽  
Briahna Dickerson ◽  
Meghan Edwards ◽  
...  
Keyword(s):  
Physical Activity ◽  
Executive Function ◽  
Acute Exercise ◽  
Affective Response ◽  
Physical Activity Behavior ◽  
The United States ◽  
Intensity Physical Activity ◽  
Site Design ◽  
Activity Behavior ◽  
Exercise Induced

Background: To empirically evaluate a cognitive affective model of physical activity. This bidirectional, cyclical model hypotheses that executive control processes directly influence habitual engagement in exercise and also directly subserve the exercise-induced affective response to acute exercise associated with future physical activity. Methods: The present study employed a one-week prospective, multi-site design. Participant recruitment and data collection occurred at two separate University sites (one in the United States and the other in Canada). Participants completed a bout of treadmill exercise, with affect and arousal assessed before, during and after the bout of exercise. Subjective and objective measures of executive function were assessed during this visit. Following this laboratory visit, seven days of accelerometry were employed to measure habitual engagement in physical activity. Results: Within our inactive, young adult sample, we observed some evidence of 1) aspects of executive function were associated with more light-intensity physical activity in the future (1-week later) (r = 0.36, 95% CI = -0.03 to 0.66, P = 0.07), 2) aspects of executive function were associated with post-exercise affect (r = -0.39, 95% CI = -0.67 to -0.03, P = 0.03) and forecasted affect (r =0.47, 95% CI = 0.11 to 0.72, P = 0.01), and 3) aspects of acute exercise arousal and affect were associated with current mild-intensity physical activity behavior (r = 0.41, 95% CI = 0.04 to 0.68,P = 0.03). Conclusion: We demonstrate partial support of a cognitive-affective model of physical activity.

scholarly journals Application of Activity Trackers among Nursing Home Residents—A Pilot and Feasibility Study on Physical Activity Behavior, Usage Behavior, Acceptance, Usability and Motivational Impact

2020 ◽  
Vol 17 (18) ◽  
pp. 6683 ◽  
Author(s):  
Tina Auerswald ◽  
Jochen Meyer ◽  
Kai von Holdt ◽  
Claudia Voelcker-Rehage
Keyword(s):  
Physical Activity ◽  
Nursing Home ◽  
Nursing Home Residents ◽  
Physical Activity Behavior ◽  
Commercial Activity ◽  
Activity Tracker ◽  
Activity Trackers ◽  
Usage Behavior ◽  
Steps Per Day ◽  
Activity Behavior

The aim of this study was to assess physical activity and sedentary behavior, as well as the usage behavior, usability, acceptance, and motivational impact of an applied activity tracker among nursing home residents. Physical activity and usage behavior were measured among 22 residents (68 to 102 years) by use of a commercial activity tracker worn during waking hours for 77 days on average. Usability, acceptance, and motivational impact of the tracker were examined using an adapted questionnaire. Participants walked, on average, 1007 ± 806 steps per day and spent, on average, more than 9 h (77.2% of their waking time) sedentary. The average steps/day increased significantly within the first five weeks of wearing the activity tracker. The acceptance rate was high (94.4%). The tracker was used for 65.4% of the individual study period, and usage behavior did not significantly change during the first five wearing weeks. Participants with a usage time of ≥50% walked significantly more steps per day than those with a lower usage. Overall, we were able to reveal that the residents were highly inactive and sedentary. The results support the feasibility of a long-term application of activity trackers to assess or even increase physical activity behavior.

scholarly journals Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study (Preprint)

2017 ◽  
Author(s):  
Nicola D Ridgers ◽  
Anna Timperio ◽  
Helen Brown ◽  
Kylie Ball ◽  
Susie Macfarlane ◽  
...  
Keyword(s):  
Physical Activity ◽  
Demographic Data ◽  
Daily Activities ◽  
Web Based ◽  
Activity Tracker ◽  
Physical Activity Interventions ◽  
Activity Trackers ◽  
Wearable Activity Trackers ◽  
Wearable Activity Tracker ◽  
Barriers To Use

BACKGROUND Wearable activity trackers have the potential to be integrated into physical activity interventions, yet little is known about how adolescents use these devices or perceive their acceptability. OBJECTIVE The aim of this study was to examine the usability and acceptability of a wearable activity tracker among adolescents. A secondary aim was to determine adolescents’ awareness and use of the different functions and features in the wearable activity tracker and accompanying app. METHODS Sixty adolescents (aged 13-14 years) in year 8 from 3 secondary schools in Melbourne, Australia, were provided with a wrist-worn Fitbit Flex and accompanying app, and were asked to use it for 6 weeks. Demographic data (age, sex) were collected via a Web-based survey completed during week 1 of the study. At the conclusion of the 6-week period, all adolescents participated in focus groups that explored their perceptions of the usability and acceptability of the Fitbit Flex, accompanying app, and Web-based Fitbit profile. Qualitative data were analyzed using pen profiles, which were constructed from verbatim transcripts. RESULTS Adolescents typically found the Fitbit Flex easy to use for activity tracking, though greater difficulties were reported for monitoring sleep. The Fitbit Flex was perceived to be useful for tracking daily activities, and adolescents used a range of features and functions available through the device and the app. Barriers to use included the comfort and design of the Fitbit Flex, a lack of specific feedback about activity levels, and the inability to wear the wearable activity tracker for water-based sports. CONCLUSIONS Adolescents reported that the Fitbit Flex was easy to use and that it was a useful tool for tracking daily activities. A number of functions and features were used, including the device’s visual display to track and self-monitor activity, goal-setting in the accompanying app, and undertaking challenges against friends. However, several barriers to use were identified, which may impact on sustained use over time. Overall, wearable activity trackers have the potential to be integrated into physical activity interventions targeted at adolescents, but both the functionality and wearability of the monitor should be considered.

Physical activity behavior change: Issues in adoption and maintenance.

2000 ◽  
Vol 19 (1, Suppl) ◽  
pp. 32-41 ◽  
Author(s):  
Bess H. Marcus ◽  
LeighAnn H. Forsyth ◽  
Elaine J. Stone ◽  
Patricia M. Dubbert ◽  
Thomas L. McKenzie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

scholarly journals The Acceptability, Feasibility and Effectiveness of Wearable Activity Trackers for Increasing Physical Activity in Children and Adolescents: A Systematic Review

2021 ◽  
Vol 18 (12) ◽  
pp. 6211
Author(s):  
Amy V. Creaser ◽  
Stacy A. Clemes ◽  
Silvia Costa ◽  
Jennifer Hall ◽  
Nicola D. Ridgers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Children And Adolescents ◽  
Behaviour Change Techniques ◽  
Physically Active ◽  
Self Monitoring ◽  
Start Date ◽  
Activity Trackers ◽  
Wearable Activity Trackers

Wearable activity trackers (wearables) embed numerous behaviour change techniques (BCTs) that have previously been shown to increase adult physical activity (PA). With few children and adolescents achieving PA guidelines, it is crucial to explore ways to increase their PA. This systematic review examined the acceptability, feasibility, and effectiveness of wearables and their potential mechanisms of action for increasing PA in 5 to 19-year-olds. A systematic search of six databases was conducted, including data from the start date of each database to December 2019 (PROSPERO registration: CRD42020164506). Thirty-three studies were included. Most studies (70%) included only adolescents (10 to 19 years). There was some—but largely mixed—evidence that wearables increase steps and moderate-to-vigorous-intensity PA and reduce sedentary behaviour. There were no apparent differences in effectiveness based on the number of BCTs used and between studies using a wearable alone or as part of a multi-component intervention. Qualitative findings suggested wearables increased motivation to be physically active via self-monitoring, goal setting, feedback, and competition. However, children and adolescents reported technical difficulties and a novelty effect when using wearables, which may impact wearables’ long-term use. More rigorous and long-term studies investigating the acceptability, feasibility, and effectiveness of wearables in 5 to 19-year-olds are warranted.

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