Use Of Wearable Activity Trackers Research Articles

Use of Wearable Devices to Monitor Postoperative Activity following Cardiac Surgery. A Systematic Scoping Review.

There is an emerging trend of using wearable digital technology to monitor patient activity levels in acute care contexts. However, the overall extent and quality of evidence for their use in acute cardiac surgery care is unclear. The purpose of this systematic scoping review was to evaluate current literature regarding the use of wearable activity trackers/accelerometers to monitor patient activity levels in the first 30-days following cardiac surgery. A systematic scoping review was conducted. A search of CINAHL and MEDLINE Complete databases identified all peer reviewed research evidence published in English between 2010 and 2023. Studies evaluating the use of wearable, technology in adults who had undergone coronary bypass graft surgery (CAGS), and/valve replacement (VR) were included. Study data was summarised thematically. A total of 853 citations were identified. Once duplicates were removed, 816 studies were screened by title and abstract, 54 full-text studies were assessed for eligibility and 11 studies included. Accelerometers were able to capture changing exercise and physical activity levels over an acute care admission. Device use was acceptable to clinicians and patients. Low activity levels in the early postoperative period were associated with longer length of stay and higher 30-day readmissions. Wearable devices are acceptable and feasible to use in acute care. Use of wearable activity trackers by acute cardiac patients may increase patient participation in exercise and identify more sedentary patients who are a greater risk of increased length of stay and hospital readmission.

The Wearable Activity Tracker Checklist for Healthcare (WATCH): a 12-point guide for the implementation of wearable activity trackers in healthcare

Increasing physical activity in patients offers dual benefits, fostering improved patient health and recovery, while also bolstering healthcare system efficiency by minimizing costs related to extended hospital stays, complications, and readmissions. Wearable activity trackers offer valuable opportunities to enhance physical activity across various healthcare settings and among different patient groups. However, their integration into healthcare faces multiple implementation challenges related to the devices themselves, patients, clinicians, and systemic factors. This article presents the Wearable Activity Tracker Checklist for Healthcare (WATCH), which was recently developed through an international Delphi study. The WATCH provides a comprehensive framework for implementation and evaluation of wearable activity trackers in healthcare. It covers the purpose and setting for usage; patient, provider, and support personnel roles; selection of relevant metrics; device specifications; procedural steps for issuance and maintenance; data management; timelines; necessary adaptations for specific scenarios; and essential resources (such as education and training) for effective implementation. The WATCH is designed to support the implementation of wearable activity trackers across a wide range of healthcare populations and settings, and in those with varied levels of experience. The overarching goal is to support broader, sustained, and systematic use of wearable activity trackers in healthcare, therefore fostering enhanced physical activity promotion and improved patient outcomes.

Social Factors and Older Adults' Use of Wearable Activity Trackers: Before and During the First Wave of the COVID-19 Pandemic.

Wearable activity trackers (WAT) have shown high potential to improve health in the aging population. Evidence links various social factors with WAT use in older adults, but mainly within small samples and the prevalence of their WAT use during the COVID-19 is unknown. We reported WAT use prevalence before and during the first wave of COVID-19 and examined social factors associated with WAT use frequency using a nationally representative sample of 3302 U.S. older adults. We used Multinomial Logistic Regression to identify social factors associated with WAT use frequency. Only 10.3% of pre-COVID-19 and 10.9% of first-wave subsamples were frequent WAT users. Older adults aged 75 and above and those with low incomes were less likely to frequently use WATs. Our findings suggest socioeconomic and age disparities in WAT use among older Americans. Future studies should focus on enhancing low-income older adults' WAT adoption to enable equal access to WAT-related health benefits.

CO182 Developing Methods to Validate Outcome Measures Captured Via Wearable Activity Trackers

While the novel use of wearable activity trackers (producing objective physical activity evidence) as study outcomes is promising, their psychometric properties must be established. These outcomes may not be normally-distributed, and varying tracker wear time may affect the accuracy of raw outcomes, particularly if wear time varies systematically. Here we develop methods for classical test theory validation on endpoints measured via wearable activity trackers, focusing on construct validity and test-retest reliability (TRTR).

The Use of Wearable Activity Trackers in Schools to Promote Child and Adolescent Physical Activity: A Descriptive Content Analysis of School Staff's Perspectives.

The school environment is an ideal setting for promoting physical activity (PA). Wearable activity trackers (wearables) have previously been implemented, in research, as intervention tools within the school-environment. However, the large-scale use and acceptance of wearables, in schools, is unknown. This study distributed a cross-sectional survey to school staff to investigate the prevalence of child and adolescent wearable use in schools, including when and how they are used, and school staff's willingness to use them in the future (as implemented by school staff). This survey consisted of between 13 and 22 items, including closed-ended and open-ended questions. Closed-ended responses were displayed descriptively (wearable prevalence and characteristics), and open-ended qualitative responses were categorised using descriptive content analysis (how wearables are used). 1087 school staff provided valid responses. Of those, 896 (82.4%) had never used a wearable as a teaching or support tool for their students, and 120 (11%) currently used- and 71 (6.5%) had previously used- a wearable as a teaching or support tool for their students. When wearables were used, school staff implemented their use regularly and during physical education lessons or throughout the entire school day. Wearables were used to monitor or increase student's PA levels, or for student and staff educational purposes (e.g., academic learning, movement breaks). Most school staff were willing to use a wearable as a teaching or support tool to promote student's PA, and/or learning about PA, in the future. This study is the first study to explore the widescale use and acceptance of children and adolescents using wearables in the school-setting. Findings may inform the development of future school-based interventions and public health initiatives for physical activity promotion, using wearables.

Experiences of activity monitoring and perceptions of digital support among working individuals with hip and knee osteoarthritis – a focus group study

BackgroundMobile health (mHealth), wearable activity trackers (WATs) and other digital solutions could support physical activity (PA) in individuals with hip and knee osteoarthritis (OA), but little is described regarding experiences and perceptions of digital support and the use of WAT to self-monitor PA. Thus, the aim of this study was to explore the experiences of using a WAT to monitor PA and the general perceptions of mHealth and digital support in OA care among individuals of working age with hip and knee OA.MethodsWe conducted a focus group study where individuals with hip and knee OA (n = 18) were recruited from the intervention group in a cluster-randomized controlled trial (C-RCT). The intervention in the C-RCT comprised of 12-weeks use of a WAT with a mobile application to monitor PA in addition to participating in a supported OA self-management program. In this study, three focus group discussions were conducted. The discussions were transcribed and qualitative content analysis with an inductive approach was applied.ResultsThe analysis resulted in two main categories: A WAT may aid in optimization of PA, but is not a panacea with subcategories WATs facilitate PA; Increased awareness of one’s limitations and WATs are not always encouraging, and the second main category was Digital support is an appreciated part of OA care with subcategories Individualized, early and continuous support; PT is essential but needs to be modernized and Easy, comprehensive, and reliable digital support.ConclusionWATs may facilitate PA but also aid individuals with OA to find the optimal level of activity to avoid increased pain. Digital support in OA care was appreciated, particularly as a part of traditional care with physical visits. The participants expressed that the digital support should be easy, comprehensive, early, and continuous.

Physical activity levels in patients with melanoma during treatment with immune checkpoint inhibitors: Fitbit results from the CAMP-IT trial.

e13610 Background: Wearable activity trackers offer possibilities to harness real-time patient data for predicting clinical outcomes in patients with cancer during treatment with immune checkpoint inhibitors (ICIs). As a first step towards this purpose, we aimed to assess the feasibility of using wearable activity trackers to objectively measure physical activity levels during the course of treatment. Methods: Patients with advanced melanoma, scheduled to receive treatment with ICIs were eligible to participate in the Comprehensive Ambulatory Monitoring Platform during ImmunoTherapy (CAMP-IT) trial. Participants were instructed to wear a Fitbit Versa 2.0 during waking hours for 12 weeks after start of immunotherapy. Feasibility of Fitbit use was assessed using predefined goals regarding compliance (> 75% participants with > 75% wear days) and acceptability (satisfaction score > 75%). Weekly averages of daily steps were calculated. A valid wear week was defined as a week with a minimum of 4 valid wear days (> 100 steps) including at least 1 weekend day. Linear mixed models were used to examine the changes in mean daily steps during 12 weeks after treatment initiation. We currently analyzed data of the first 30 of the 50 patients that will be included in the trial. Results: Of the 30 patients that were currently included 57% was female and mean age was 57,3 (SD 9,7). Forty percent had metastatic disease, and 30% received treatment with combination ICI therapy. Ninety-six percent of patients was compliant with Fitbit use. Moreover, Fitbit use was rated as satisfactory by 86% of patients. Mean steps per day in week 1 was 6728 (SD 3405). Mean daily steps per week did not change significantly over time during the observation period (b = -13,3 (95% CI: -85,7 - 59,1); p = 0.72). Conclusions: This is the first prospective study that reports on the use of consumer-grade wearable activity trackers to objectively measure physical activity in advanced melanoma patients during treatment with ICIs. Our results suggest that the use of wearable activity trackers in these patients is feasible and that treatment with ICI does not impact physical activity levels during the first 12 weeks. Future research should investigate whether our results hold true for specific subgroups (e.g., patients that receive combination ICI therapy). Clinical trial information: NL8827.

Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults

ABSTRACT Utilization of wearable technologies may help older adults maintain physical activity, which is key for reducing chronic diseases. Adoption and use of wearable technology is slowly increasing in the older adult population. This study investigated sociodemographic correlates of wearable activity tracker (WAT) use among online U.S. older adults, 65 years of age and older. Data was collected via an online survey (N = 1,252). Participants were, on average, 74 years old, female, and White. Nine percent (n = 108) reported using a WAT. Older adults aged 65–74 were 1.4 times more likely to use a WAT than those 85 and older. Education, income, and self-rated health status were positively correlated with WAT adoption. Twenty-three percent of WAT users competed against friends and family. Self-rated health was positively associated while income was negatively associated with WAT use to compete against family and friends. Longitudinal research is needed to understand factors that lead older adults to decide to use WATs, as well as barriers and facilitators to maintaining WAT use over time.

PROMOTING WORK ABILITY WITH A WEARABLE ACTIVITY TRACKER IN WORKING AGE INDIVIDUALS WITH HIP AND/OR KNEE OSTEOARTHRITIS: A RANDOMIZED CONTROLLED TRIAL

Purpose: Physical activity (PA) may improve work ability and health in individuals with hip and/or knee osteoarthritis (OA). The use of wearable activity trackers (WATs) has been shown to increase PA and improve other health outcomes but little is known concerning their effect on work ability. The objectives of this study were to examine the effect of self-monitoring PA with a WAT on work ability, PA and work productivity among individuals of working age with hip and/or knee OA.

Efficacy and acceptability of using wearable activity trackers in older adults living in retirement communities: a mixed method study

BackgroundWearable activity trackers hold the potential for enhancing health and fitness, but the use of wearable activity trackers has remained largely unexplored in older adults. The purpose of the current study was to examine the effectiveness and acceptability of wearable activity trackers for promoting physical activity (PA) in older adults living in retirement communities.MethodsForty older adult participants (mean age = 85.4 years) used a wearable activity tracker (Fitbit InspireHR) for 12 weeks. Participants were provided with personalized activity goals and weekly feedback of PA during the 12 weeks. The main outcomes were daily step counts collected at baseline and the end of the intervention, and participants’ experiences of using the wearable activity tracker assessed after the 12-week intervention through an 8-item questionnaire and individual interviews.ResultsParticipants used the activity tracker on 97.5% of measured days and had an average increase of 900 steps/day (p < 0.001). The Acceptance questionnaire revealed that the wearable activity tracker was acceptable, useful, and easy to use. Participants found that wearable activity trackers helped improve self-awareness and motivation of PA but reported a few concerns regarding the comfort of wearing the activity trackers and the ease of reading visual feedback.ConclusionsWearable activity trackers lead to a small but significant increase of PA and are perceived as acceptable and useful in older adults. Given the rapidly growing older population, wearable activity trackers are promising tools that could be used in large-scale interventions to improve PA and health in older adults.Trial registrationRegistered on Clinicaltrials.gov # NCT05233813 (Registered on 10/02/2022).

Promoting work ability with a wearable activity tracker in working age individuals with hip and/or knee osteoarthritis: a randomized controlled trial

BackgroundPhysical activity (PA) may improve work ability and health in individuals with hip and/or knee osteoarthritis (OA). The use of wearable activity trackers (WATs) has been shown to increase PA and improve other health outcomes but little is known concerning their effect on work ability. The objectives of this study were to examine the effect of self-monitoring PA with a WAT on work ability, PA and work productivity among individuals of working age with hip and/or knee OA.MethodsIndividuals (n = 160) were included and cluster-randomized to a Supported Osteoarthritis Self-management Program (SOASP) with the addition of self-monitoring PA using a commercial WAT for 12 weeks (n = 86), or only the SOASP (n = 74). Primary outcome was self-reported work ability measured with the Work Ability Index (WAI) and secondary outcomes were self-reported PA measured with the International Physical Activity Questionnaire – Short Form (IPAQ-SF) and work productivity, measured with the Work Productivity and Activity Impairment scale: Osteoarthritis (WPAI:OA) at baseline and after 3, 6 and 12 months. Data was primarily analysed with linear mixed models.ResultsParticipants with data from baseline and at least one follow-up were included in the analyses (n = 124). Linear mixed models showed no statistically significant difference between groups regarding pattern of change in work ability or PA, from baseline to follow-ups. Also, neither group had a statistically significant difference in work ability between baseline and each follow-up.ConclusionThe SOASP together with self-monitoring PA with a WAT did not have any effect on the primary outcome variable work ability. Participants already at baseline had good work ability and were physically active, which could have reduced the possibility for improvements. Future interventions should target a population with lower work ability and PA-level.Trial registrationClinicalTrials.gov, NCT03354091. Registered 15/11/2017.

Abstract 13075: Initial Physical Activity Level is a Strong Predictor of Adherence to the Physical Activity Goal: A Secondary Analysis of the SMARTER Weight Loss Trial

Background: Over a third of excess coronary heart disease mortality in the US is related to inadequate physical activity (PA). Use of wearable activity trackers is beneficial for PA improvement in many populations. However, predictors of long-term adherence to PA remain unknown. Hypothesis: The 1 st week PA levels will be the strongest predictors of long-term adherence to the PA goal in adults with overweight or obesity in a mHealth weight loss intervention trial. Methods: A secondary analysis of a 12-month behavioral weight loss trial (SMARTER) that randomized 502 participants to either self-monitoring with tailored feedback messages (SM+FB, n=251) or self-monitoring alone (SM, n=251) was conducted. At baseline, each participant received a Fitbit Charge 2 and PA goal of ≥150 minutes of moderate or vigorous activity (MVPA) per week. The outcome of interest for this analysis was long-term PA adherence, i.e., the number of weeks adherent to PA goal over 12 months. Twenty-six explanatory variables were considered, including treatment assignment; baseline socio-demographics; health history; body mass index (&lt;30 vs. ≥30 kg/m 2 ); psychosocial factors; and1 st week PA levels (&lt;150 vs. ≥150 MVPA min/week). Machine learning methods (i.e., random forest regression trees and lasso regression) were used to identify predictors of long-term PA adherence. Results: The sample ranged in age from 19 to 75 years (57% were &lt;50 years old), and was mostly Caucasian (83%), female (80%) and had a mean BMI 33.7 ± 4.0 kg/m 2 . The sample was randomly split 4:1 into training (n=394) and validation subsamples (n=104) which were comparable by treatment assignment. Both random forest and lasso regression identified 1 st week PA levels as the most important predictor of long-term PA adherence. The findings were confirmed in the validation cohort with an out-of-sample R-square of 40.2% from random forest and a R-square of 47.9% from lasso regression, suggesting good predictive abilities. Conclusion: This analysis confirmed higher initial PA levels as the strongest predictor of long-term PA adherence. The findings support screening for PA at study entry and developing tailored interventions for those with lower initial PA levels.

Mobile Health and Telehealth Interventions to Increase Physical Activity in Adolescents with Obesity: a Promising Approach to Engaging a Hard-to-Reach Population.

Purpose of ReviewAdolescence represents a critical time to set habits for long-term health, yet adequate rates of physical activity are uncommon in this age group. Mobile technology use, however, is ubiquitous. We review advantages and challenges posed by mobile health (mHealth) and telehealth-based physical activity interventions aimed at adolescents.Recent FindingsMobile Health (mHealth) and telehealth interventions to increase physical activity in adolescents include use of wearable activity trackers, text messages or apps, and video visits with exercise specialists. Definitions and goals for physical activity differ across interventions, and methods of activity measurement also vary. User engagement is often poor, if tracked at all. No identified studies included use of behavioral economics-informed engagement strategies.SummaryIntervention designers must plan for ways to maximize engagement and to reliably measure the intended outcome. Although mHealth and telehealth interventions have advantages such as scalability and acceptability, potential pitfalls must be addressed before widespread implementation.

Introducing an Integrated Model of Adults' Wearable Activity Tracker Use and Obesity Information-Seeking Behaviors From a National Quota Sample Survey.

BackgroundResearch from multiple perspectives to investigate adults’ use of wearable activity-tracking devices is limited. We offer a multiperspective model and provide empirical evidence of what leads to frequent usage of wearable health technologies from a large, nationally representative survey sample.ObjectiveThis study aims to explore factors affecting the use of wearable activity-tracking devices among health consumers from the perspectives of individual health beliefs (perceived severity, perceived susceptibility, perceived benefits, and self-efficacy) and information-seeking behaviors.MethodsOur Integrated Model of Wearable Activity Tracker (IMWAT) use and proposed hypotheses were validated and tested with data collected from a telephone survey with a national quota sample. The data were analyzed using a variety of statistical techniques, including structural equation analysis.ResultsThe sample comprised 2006 participants. Our results showed that the perceived benefits of physical activity, perceived susceptibility, and self-efficacy toward obesity were significant predictors of information-seeking behaviors, which, in turn, mediated their effects on the use of wearable activity trackers. Perceptions of obesity severity directly promoted wearable device usage.ConclusionsThis study provided a new and powerful theoretical model that combined the health beliefs and information-seeking behaviors behind the use of wearable activity trackers in the adult population. The findings provide meaningful implications for developers and designers of wearable health technology products and will assist health informatics practitioners and obesity prevention communicators.

Habit Formation in Wearable Activity Tracker Use Among Older Adults: Qualitative Study

BackgroundWearable activity trackers are popular devices used to motivate behavior change. Wearable activity trackers are especially beneficial for encouraging light physical activity such as walking, which is an ideal behavior for older adults or individuals who cannot be physically active at moderate and vigorous levels. A common problem is that people do not continue to use these wearable devices, with initial behavioral change gains eroding as people disengage. Limited research is available regarding the continued use of wearable activity trackers. The habit formation literature may provide insights into the long-term use of wearables and other health informatics devices.ObjectiveThis study aims to uncover the mechanism underlying the long-term continued use of wearable devices among older adults through the theoretical lens of habit formation.MethodsIn-depth interviews were conducted with 20 participants who were aged 65 years or older and had used wearable activity trackers for more than 6 months to understand their experiences and the strategies they employed to support continued use.ResultsThematic analysis of data revealed 8 themes related to habit formation, including aspects in initiation and goal setting, use of contextual cues, action planning, and coping planning. Long-term users tended to have meaningful initiation of wearable activity trackers. They usually started with a small behavioral change goal and gradually increased it. They used consistent time and locational cues to make the use of wearable activity trackers routine. Long-term users also used creative contextual cues and reminders to facilitate action planning, engaged in coping planning to deal with anticipated problems, and had a positive mindset and inventive strategies for managing unfulfillment and lapses.ConclusionsThe results of this qualitative study of long-term users of wearable activity trackers suggest specific ways to enhance long-term habit formation among older adults. These best practices by long-term users can inform the future design of technology-based behavior interventions.

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

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. 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. 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. 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.

Parental Perspectives of a Wearable Activity Tracker for Children Younger Than 13 Years: Acceptability and Usability Study.

BackgroundThere is increasing availability of, and interest in, wearable activity trackers for children younger than 13 years. However, little is known about how children and parents use these activity trackers or perceive their acceptability.ObjectiveThis study primarily aimed to ascertain parental perspectives on the acceptability and usability of wearables designed to monitor children’s physical activity levels. Secondary aims were to (1) identify practical considerations for future use in physical activity interventions and promotion initiatives; (2) determine use of different features and functions incorporated into the accompanying app; and (3) identify parents’ awareness of their child’s current physical activity levels.MethodsIn total, 36 children (18 boys and 18 girls) aged 7-12 years were asked to wear a wrist-worn activity tracker (KidFit) for 4 consecutive weeks and to use the accompanying app with parental assistance and guidance. Each week, one parent from each family (n=25; 21 mothers and 4 fathers) completed a Web-based survey to record their child’s activity tracker use, app interaction, and overall experiences. At the end of the 4-week period, a subsample of 10 parents (all mothers) participated in face-to-face interviews exploring perceptions of the acceptability and usability of wearable activity trackers and accompanying apps. Quantitative and qualitative data were analyzed descriptively and thematically, respectively. Thematic data are presented using pen profiles, which were constructed from verbatim transcripts.ResultsParents reported that they and their children typically found the associated app easy to use for activity tracking, though only step or distance information was generally accessed and some difficulties interpreting the data were reported. Children were frustrated with not being able to access real-time feedback, as the features and functions were only available through the app, which was typically accessed by, or in the presence of, parents. Parents identified that children wanted additional functions including a visual display to track and self-monitor activity, access to the app for goal setting, and the option of undertaking challenges against schools or significant others. Other barriers to the use of wearable activity trackers included discomfort of wearing the monitor because of the design and the inability to wear for water- or contact-based sports.ConclusionsMost parents reported that the wearable activity tracker was easy for their child or children to use and a useful tool for tracking their children’s daily activity. However, several barriers were identified, which may impact sustained use over time; both the functionality and wearability of the activity tracker should therefore be considered. Overall, wearable activity trackers for children have the potential to be integrated into targeted physical activity promotion initiatives.

Factors Associated with Older Adults' Long-Term Use of Wearable Activity Trackers.

Background: Wearable activity trackers (WATs) have the potential to improve older adults' health; yet, many adopters of WATs are not able to use them on a long-term basis. Methods: A survey was conducted with an online panel of adults 65 and older (N = 214) to explore factors associated with long-term use of WATs, including initial adoption motivations, usage patterns, as well as differences in sociodemographic factors, health status, and activity levels. Results: Results from the logistic regression analysis indicated that being a long-term WAT user was significantly associated with using a wider variety of WAT functions, wearing WAT every day, being female, exercising more frequently, having higher education, not engaging in step count competition, and not having chronic conditions. Conclusions: Understanding long-term use of WATs among older adults is important given that this technology is prone to be abandoned quickly after initial adoption and such abandonment negates its potential in supporting long-term health behavior change. Findings of this study will inform innovative WAT designs that afford long-term use and offer helpful strategies for future interventions using WATs among older adults.

Use of Wearable Activity Trackers to Improve Physical Activity Behavior in Patients With Rheumatic and Musculoskeletal Diseases: A Systematic Review and Meta-Analysis.

Wearable activity trackers (WATs) could be a promising strategy to improve physical activity in patients with rheumatic and musculoskeletal diseases (RMDs). The aim was to assess the adherence to and effectiveness of WATs to increase physical activity levels in patients with RMDs. A systematic review was performed to identify all cohorts and controlled trials evaluating WATs in patients with RMDs, published between 2000 and 2018, by searching Medline, Embase, PsycINFO, and Cochrane. Data collected pertained to adherence, effectiveness on physical activity, or effectiveness on symptoms (pain, function, quality of life, or fatigue). Meta-analyses were performed with a random effects model. Of 2,806 references, 17 studies were included, with a total of 1,588 patients: 8 studies (47%) in osteoarthritis, 5 (29%) in low-back pain, and 3 (18%) in inflammatory arthritis. Adherence assessed in 4 studies was high (weighted mean ± SD time worn was 92.7% ± 4.6%). A significant increase in physical activity was noted (mean difference 1,520 steps [95% confidence interval (95% CI) 580, 2,460], I² = 77%; or 16 minutes [95% CI 2, 29] of moderate-to-vigorous physical activity, I² = 0%). A significant increase in pain was found for long interventions (>8 weeks) (standardized mean difference 0.25 [95% CI 0.07, 0.43], I² = 0%). WATs in patients with RMDs had a high short-term adherence, with a significant increase in the number of steps and time spent in moderate-to-vigorous physical activity, although pain should be monitored. WATs may be an effective option to increase physical activity in this at-risk population.

The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change.

BackgroundWearable activity trackers offer the opportunity to increase physical activity through continuous monitoring. Viewing tracker use as a beneficial health behavior, we explored the factors that facilitate and hinder long-term activity tracker use, applying the transtheoretical model of behavior change with the focus on the maintenance stage and relapse.ObjectiveThe aim of this study was to investigate older adults’ perceptions and uses of activity trackers at different points of use: from nonuse and short-term use to long-term use and abandoned use to determine the factors to maintain tracker use and prevent users from discontinuing tracker usage.MethodsData for the research come from 10 focus groups. Of them, 4 focus groups included participants who had never used activity trackers (n=17). These focus groups included an activity tracker trial. The other 6 focus groups (without the activity tracker trial) were conducted with short-term (n=9), long-term (n=11), and former tracker users (n=11; 2 focus groups per user type).ResultsThe results revealed that older adults in different tracker use stages liked and wished for different tracker features, with long-term users (users in the maintenance stage) being the most diverse and sophisticated users of the technology. Long-term users had developed a habit of tracker use whereas other participants made an effort to employ various encouragement strategies to ensure behavior maintenance. Social support through collaboration was the primary motivator for long-term users to maintain activity tracker use. Short-term and former users focused on competition, and nonusers engaged in vicarious tracker use experiences. Former users, or those who relapsed by abandoning their trackers, indicated that activity tracker use was fueled by curiosity in quantifying daily physical activity rather than the desire to increase physical activity. Long-term users saw a greater range of pros in activity tracker use whereas others focused on the cons of this behavior.ConclusionsThe results suggest that activity trackers may be an effective technology to encourage physical activity among older adults, especially those who have never tried it. However, initial positive response to tracker use does not guarantee tracker use maintenance. Maintenance depends on recognizing the long-term benefits of tracker use, social support, and internal motivation. Nonadoption and relapse may occur because of technology’s limitations and gaining awareness of one’s physical activity without changing the physical activity level itself.