Abstract PO-162: Association between the frequency of using wearable activity trackers and minutes of moderate to vigorous physical activity among cancer survivors from HINTS data

2022 ◽  
Author(s):  
Steven A. De La Torre ◽  
Trevor Pickering ◽  
Donna Spruijt-Metz ◽  
Albert J. Farias
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Vigorous Physical Activity ◽  
Activity Trackers ◽  
Wearable Activity Trackers

scholarly journals How Are Wearable Activity Trackers Adopted in Older Adults? Comparison between Subjective Adoption Attitudes and Physical Activity Performance

2020 ◽  
Vol 17 (10) ◽  
pp. 3461
Author(s):  
Byung Cheol Lee ◽  
Junfei Xie ◽  
Toyin Ajisafe ◽  
Sung-Hee Kim
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Vigorous Physical Activity ◽  
Design Guidelines ◽  
Step Counts ◽  
Activity Tracker ◽  
Athletic Ability ◽  
Activity Trackers ◽  
Wearable Activity Trackers

Wearable activity trackers can motivate older adults to engage in the recommended daily amount of physical activity (PA). However, individuals may not maintain their use of the trackers over a longer period. To investigate the attitudes of activity tracker adoption and their effects on actual PA performance, we conducted a three-month study. We gave activity trackers to 16 older adults and assessed attitudes on activity tracker adoption through a survey during the study period. We extracted participants’ PA measures, step counts, and moderate and vigorous physical activity (MVPA) times. We observed significant differences in adoption attitudes during the three different periods (χ2(2, 48) = 6.27, p < 0.05), and PA measures followed similar decreasing patterns (F(83, 1357) = 12.56, 13.94, p < 0.00001). However, the Pearson correlation analysis (r = 0.268, p = 0.284) and a Bland–Altman plot indicated a bias between two PA measures. Positive attitudes at the initial stage did not persist through the study period, and both step counts and length of MVPA time showed waning patterns in the study period. The longitudinal results from both measures demonstrated the patterns of old adults’ long-term use and adoption. Considering the accuracy of the activity tracker and older adults’ athletic ability, MVPA times are more likely to be a reliable measure of older adults’ long-term use and successful adoption of activity trackers than step counts. The results support the development of better activity tracker design guidelines that would facilitate long-term adoption among older adults.

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.

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.

Evaluation of an interactive portal for breast cancer survivors: Use, satisfaction, and preliminary effects.

2016 ◽  
Vol 34 (3_suppl) ◽  
pp. 200-200
Author(s):  
Wilma Kuijpers ◽  
Wim G Groen ◽  
Hester SA Oldenburg ◽  
Michel W.J.M. Wouters ◽  
Neil K Aaronson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Physical Activity ◽  
Cancer Survivors ◽  
User Satisfaction ◽  
Breast Cancer Survivors ◽  
Vigorous Physical Activity ◽  
Sf 36 ◽  
Patient Reported

200 Background: MijnAVL is an interactive portal that includes patient education, an overview of appointments, access to the electronic medical record (EMR), patient-reported outcomes plus feedback and physical activity support. The aim of this feasibility study was to evaluate use, satisfaction and preliminary effects among breast cancer survivors. Methods: We included women currently or recently treated for breast cancer with curative intent. At baseline, they completed a questionnaire on sociodemographics, expectations of MijnAVL and three effect measures: patient activation (PAM), quality of life (SF-36), and physical activity (IPAQ). MijnAVL could be used noncommittally for 4 months. Log data were collected retrospectively and participants completed questions on satisfaction and effect measures. This process was conducted twice, to be able to improve MijnAVL iteratively. Results: We included 92 women (mean age 49.5 years, 59% on-treatment). Mean number of logins was 8.7 and mean duration 13.1 minutes. Overview of appointments (80% of participants) and access to the EMR (90%) were most frequently used and most appreciated. Website user satisfaction was rated 3.8 on a 1-5 scale on average and participants were primarily positive about the accessibility of information. We did not find an effect on the PAM. For the SF-36, we found significant improvements on the role functioning – emotional (65.3 to 78.5, p< .01), mental health (69.8 to 76.5, p< .01) and social functioning (71.2 to 80.5, p< .01) domains. Median vigorous physical activity significantly increased from 0 to 360 MET-minutes per week (p< .05); levels of walking and moderate physical activity did not change significantly over time. These effects were not related to the intensity of use of MijnAVL. Conclusions: This study showed that user experiences were positive and that exposure to MijnAVL resulted in improvements on three quality of life domains and vigorous physical activity. More tailored, interactive features might be needed to substantially change empowerment, quality of life and physical activity. Research with a controlled design and possibly a more sensitive measure for patient empowerment are needed to substantiate our findings.

Wearable sensors and Mobile Health (mHealth) technologies to assess and promote physical activity in stroke: a narrative review

2016 ◽  
Vol 17 (1) ◽  
pp. 34-42 ◽  
Author(s):  
Shamala Thilarajah ◽  
Ross A Clark ◽  
Gavin Williams
Keyword(s):  
Physical Activity ◽  
Behaviour Change ◽  
Mobile Health ◽  
Wearable Sensors ◽  
Chronic Illnesses ◽  
Behaviour Change Techniques ◽  
Health Issues ◽  
Activity Trackers ◽  
Wearable Activity Trackers ◽  
Smartphone Technology

Stroke is a leading cause of disability worldwide, with approximately one third of people left with permanent deficits impacting on their function. This may contribute to a physically inactive lifestyle and further associated health issues. Current research suggests that people after stroke are not meeting the recommended levels of physical activity, and are less active than people with other chronic illnesses. Thus, it is important to understand how to support people after stroke to uptake and maintain physical activity. Wearable sensors and mobile health (mHealth) technologies are a potential platform to measure and promote physical activity. Some of these technologies may incorporate behaviour change techniques such as real-time feedback. Although wearable activity trackers and smartphone technology are widely available, the feasibility and applicability of these technologies for people after stroke is unclear. This article reviews the devices available for assessment of physical activity in stroke and discusses the potential for advances in technology to promote physical activity in this population.

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