Wearable Activity Trackers Research Articles

P106 Planning and development of a long-term digital self-management tool for osteoarthritis: the Intelligent Knee Osteoarthritis Lifestyle App

Abstract Background/Aims There is strong evidence for beneficial effects of physical activity for people with knee osteoarthritis (KOA). While supervised exercise programmes are effective, they are resource intensive, typically of limited duration and hard to implement at scale. More accessible options should be developed to enable individuals to adopt and maintain appropriate physically active lifestyles. Smartphone apps can monitor activity and symptoms, providing feedback to support self-management. We aimed to co-design a KOA self-management app, with physiotherapists and people experiencing KOA, to support long-term physical activity. Methods We followed the Person-Based Approach to developing health interventions. We initially undertook a rapid review of clinical exercise guidelines and KOA position statements. Views from potential app users were elicited via focus groups, to determine attitudes towards physical activity, KOA self-management technology, and identify desired app features. Physiotherapists were interviewed to establish factors that feed into physical activity advice and recommendations in a clinical context, and determine which features they deemed appropriate to incorporate into an app. We then mapped established behaviour change techniques to potential features. Combining these sources of information, we developed guiding principles, then iteratively developed and refined the app through “think aloud” interviews with potential users and interviews with physiotherapists to assess appropriateness and safety. Results Literature scoping established positive effects for a range of exercise modes, with NICE guidelines highlighting physical activity, education and weight management as core treatments for KOA. Patient focus groups highlighted uncertainty about the potential benefits and/or harms associated with physical activity, as well as confusion regarding appropriate sources of information. Patients emphasised the importance of symptom tracking and the benefits of social support as an important factor in motivation to engage in and sustain activity. Interviews with physiotherapists revealed physical and psycho-social characteristics of patients to consider when recommending physical activities. Physiotherapists and patients both expressed the necessity for activities to be tailored to individual capabilities and preferences. Conclusion The Intelligent Knee Osteoarthritis Lifestyle App (iKOALA) is an evidence-based smartphone app to support long-term self-management for individuals with KOA. The app facilitates appropriate physical activity adoption and maintenance; provides feedback from linked wearable activity trackers; gives information and intelligently tailored physical activity options from patient preferences and symptoms. Broader self-management aspects include rehabilitation exercise content, symptom tracking and alerts, weight management tools and education resources. Crucially, for long-term maintenance, the app includes forum features, fostering social relatedness among users. The app has received positive feedback from potential users in terms of usability and perceived utility. Physiotherapists have provided positive clinical impressions and validated the appropriateness of the content and features. The app is undergoing extended user testing with patients, following which, we aim to assess the effectiveness of the app in a randomised trial. Disclosure E.A. Chowdhury: None. V. Ceballos Inza: None. M.J. Western: None. N.E. Walsh: None. J.L.J. Bilzon: None. S.L. Jones: None.

Mobile Health Intervention Promoting Physical Activity in Adults Post Cardiac Rehabilitation: Pilot Randomized Controlled Trial.

BackgroundCardiac rehabilitation (CR) is an exercise-based program prescribed after cardiac events associated with improved physical, mental, and social functioning; however, many patients return to a sedentary lifestyle leading to deteriorating functional capacity after discharge from CR. Physical activity (PA) is critical to avoid recurrence of cardiac events and mortality and maintain functional capacity. Leveraging mobile health (mHealth) strategies to increase adherence to PA is a promising approach. Based on the social cognitive theory, we sought to determine whether mHealth strategies (Movn mobile app for self-monitoring, supportive push-through messages, and wearable activity tracker) would improve PA and functional capacity over 2 months.ObjectiveThe objectives of this pilot randomized controlled trial were to examine preliminary effects of an mHealth intervention on group differences in PA and functional capacity and group differences in depression and self-efficacy to maintain exercise after CR.MethodsDuring the final week of outpatient CR, patients were randomized 1:1 to the intervention group or usual care. The intervention group downloaded the Movn mobile app, received supportive push-through messages on motivation and educational messages related to cardiovascular disease (CVD) management 3 times per week, and wore a Charge 2 (Fitbit Inc) activity tracker to track step counts. Participants in the usual care group wore a pedometer and recorded their daily steps in a diary. Data from the 6-minute walk test (6MWT) and self-reported questionnaires were collected at baseline and 2 months.ResultsWe recruited 60 patients from 2 CR sites at a community hospital in Northern California. The mean age was 68.0 (SD 9.3) years, and 23% (14/60) were female; retention rate was 85% (51/60). Our results from 51 patients who completed follow-up showed the intervention group had a statistically significant higher mean daily step count compared with the control (8860 vs 6633; P=.02). There was no difference between groups for the 6MWT, depression, or self-efficacy to maintain exercise.ConclusionsThis intervention addresses a major public health initiative to examine the potential for mobile health strategies to promote PA in patients with CVD. Our technology-based pilot mHealth intervention provides promising results on a pragmatic and contemporary approach to promote PA by increasing daily step counts after completing CR.Trial RegistrationClinicalTrials.gov NCT03446313; https://clinicaltrials.gov/ct2/show/NCT03446313

Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study.

BackgroundPhysical activity (PA) is a modifiable lifestyle factor that can be targeted to increase energy expenditure and promote weight loss. However, the amount of PA required for weight loss remains inconsistent. Wearable activity trackers constitute a valuable opportunity to obtain objective measurements of PA and study large populations in real-life settings.ObjectiveWe aim to study the associations of initial device-assessed PA characteristics (average step counts and step count variability) and their evolution with 6-month weight change.MethodsWe analyzed data from 26,935 Withings-connected device users (wearable activity trackers and digital scales). To assess the initial PA characteristics and their 6-month changes, we used data recorded during the first and sixth 30-day periods of activity tracker use. For each of these periods, we used the monthly mean of daily step values as a proxy for PA level and derived the monthly coefficient of variation (CV) of daily step values to estimate PA level variability. Associations between initial PA characteristics and 6-month weight change were assessed using multivariable linear regression analyses controlled for age, sex, blood pressure, heart rate, and the predominant season. Restricted cubic spline regression was performed to better characterize the continuous shape of the associations between PA characteristics and weight change. Secondary analyses were performed by analyzing the 6-month evolution of PA characteristics in relation to weight change.ResultsOur results revealed that both a greater PA level and lower PA level variability were associated with weight loss. Compared with individuals who were initially in the sedentary category (<5000 steps/day), individuals who were low active (5000-7499 steps/day), somewhat active (7500-9999 steps/day), and active (≥10,000 steps/day) had a 0.21-kg, a 0.52-kg, and a 1.17-kg greater decrease in weight, respectively (95% CI −0.36 to −0.06, −0.70 to −0.33, and −1.42 to −0.93, respectively). Compared with users whose PA level CV was >63%, users whose PA level CV ranged from 51% to 63%, 40% to 51%, and was ≤40%, had a 0.19-kg, a 0.23-kg, and a 0.33-kg greater decrease in weight, respectively (95% CI −0.38 to −0.01, −0.41 to −0.04, and −0.53 to −0.13, respectively). We also observed that each 1000 steps/day increase in PA level over the 6-month follow-up was associated with a 0.26-kg (95% CI −0.29 to −0.23) decrease in weight. No association was found between the 6-month changes in PA level variability and weight change.ConclusionsOur results add to the current body of knowledge that health benefits can be observed below the 10,000 steps/day threshold and suggest that not only increased mean PA level but also greater regularity of the PA level may play important roles in short-term weight loss.

Associations Among Wearable Activity Tracker Use, Exercise Motivation, and Physical Activity in a Cohort of Cancer Survivors: Secondary Data Analysis of the Health Information National Trends Survey.

BackgroundCancer survivors who meet physical activity (PA) recommendations (≥150 minutes of moderate-to-vigorous physical activity [MVPA] per week) experience better health outcomes. With the growing availability of wearable activity trackers (WATs), it may be easier to track PA. However, it is unknown what motivates survivors to use these devices.ObjectiveThe aim of this study is to investigate the associations among motivations for exercise, previous WAT use for tracking a health goal or activity, and meeting the recommended amount of PA among a cohort of cancer survivors.MethodsData on WAT users who reported having a previous cancer diagnosis were analyzed from the National Cancer Institute’s Health Information National Trends Survey 5 Cycle 3. All survivors with complete information on demographics, exercise motivations (internal guilt, external pressure, physical appearance, and exercise enjoyment), previous WAT use (yes or no), and minutes of MVPA per week (N=608) were included. Multivariate logistic regression models were used to test these associations. A separate cluster analysis was conducted to identify the profiles of exercise motivation that were associated with reporting WAT use.ResultsThe mean age of the cohort was 66.9 years (SD 12.1). The majority were non-Hispanic White (473/608, 78.8%) and female (322/608, 54.9%), and skin cancer was the most commonly reported diagnosed cancer (154/608, 27.8%). Survivors who reported using WATs to track a health goal or activity were 1.6 times more likely to meet MVPA recommendations than those who did not use WATs (odds ratio [OR] 1.65, 95% CI 1.03-2.65; P=.04). When exercise motivations were assessed independently, survivors who reported not feeling any internal guilt as an exercise motivation were 73% less likely to report having used a WAT than those who felt any internal guilt (OR 0.27, 95% CI 0.14-0.54; P<.001). A total of 3 distinct motivational profiles emerged from the cluster analysis. WAT users had an increased probability of membership in profile 3, which was characterized as being strongly motivated to exercise by internal guilt, physical appearance, and exercise enjoyment (OR 4.5, 95% CI 2.1-9.7; P<.001).ConclusionsAmong this cohort, survivors who reported using WATs to track a health goal or activity were significantly more likely to report meeting PA recommendations. Survivors who reported feeling internal guilt as an exercise motivation were significantly more likely to report using WATs to track a health goal or activity. When examining clusters of motivation, survivors who reported previous WAT use were more likely to report being motivated to exercise by a mix of intrinsic and extrinsic motivations, including internal guilt, exercise enjoyment, and physical appearance. Given the health benefits of PA for cancer survivors, technology-focused interventions that use WATs and target exercise motivation may aid in cancer survivors meeting the level of recommended PA.

Effect of commercial wearables and digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas: the RAW-PA cluster-randomised controlled trial

BackgroundThere has been increasing interest in using wearable activity trackers to promote physical activity in youth. This study examined the short- and longer-term effects of a wearable activity tracker combined with digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas.MethodsThe Raising Awareness of Physical Activity (RAW-PA) Study was a 12-week, multicomponent intervention that combined a Fitbit Flex (and accompanying app), and online digital behaviour change resources and weekly challenges delivered via Facebook. RAW-PA was evaluated using a cluster-randomised controlled trial with 275 adolescents (50.2% female; 13.7 ± 0.4 years) from 18 Melbourne secondary schools (intervention n = 9; wait-list control group n = 9). The primary outcome was moderate- to vigorous-intensity physical activity (MVPA), measured using hip-worn ActiGraph accelerometers. The secondary outcome was self-reported physical activity. Data were collected at baseline, 12-weeks (immediately post-intervention), and 6-months post-intervention (follow-up). Multilevel models were used to determine the effects of the intervention on daily MVPA over time, adjusting for covariates.ResultsNo significant differences were observed between intervention and wait-list control adolescents’ device-assessed MVPA immediately post-intervention. At 6-months post-intervention, adolescents in the intervention group engaged in 5 min (95% CI: − 9.1 to − 1.0) less MVPA per day than those in the wait-list control group. Males in the intervention group engaged in 11 min (95% CI: − 17.6 to − 4.5) less MVPA than males in the wait-list control group at 6-months post-intervention. No significant differences were observed for females at either time point. For self-reported physical activity, no significant effects were found at 12-weeks and 6-months post-intervention.ConclusionsCombining a wearable activity tracker with digital behaviour change resources and weekly challenges did not increase inactive adolescents’ accelerometer-derived and self-reported physical activity levels immediately post-intervention. This contrasts previous research that has suggested wearable activity tracker may increase youth physical activity levels in the short-term. Lower engagement in MVPA 6-months post-intervention was observed for males but not for females, though it is unclear why this finding was observed. The results suggest wearable activity trackers, in combination with supporting materials, may not be effective for increasing physical activity levels in adolescents.Trial registrationACTRN12616000899448. Australian and New Zealand Clinical Trials Registry. Registered 7 July 2016.

Do Wearable Activity Trackers Increase Physical Activity Among Cardiac Rehabilitation Participants? A SYSTEMATIC REVIEW AND META-ANALYSIS.

The objective of this study was to review randomized controlled trials (RCT), which included a wearable activity tracker in an intervention to promote physical activity among cardiac rehabilitation (CR) participants, and to conduct a meta-analysis for the outcomes of step counts and aerobic capacity (V˙o2max). Eight databases were searched for RCTs that included an activity tracker, enrolled adults eligible for CR, and reported outcomes of step count or aerobic capacity. Mean differences were calculated for outcomes in the meta-analyses. Nineteen RCTs with 2429 participants were included in the systematic review and 10 RCTs with 891 participants were included in the meta-analysis. Meta-analysis of three RCTs using a pedometer or accelerometer demonstrated a significant increase in daily step count compared with controls (n = 211, 2587 steps/d [95% CI, 916-5257]; I2 = 74.6% and P = .002). Meta-analysis of three RCTs using a pedometer or accelerometer intervention demonstrated a significant increase in V˙o2max compared with controls (n = 260, 2.6 mL/min/kg [95% CI, 1.6-3.6]; I2 = 0.0% and P < .0001). Meta-analysis of four RCTs using a heart rate monitor demonstrated a significant increase in V˙o2max compared with controls (n = 420, 1.4 mL/min/kg [95% CI, 0.4-2.3]; I2 = 0.0% and P = .006). Use of activity trackers among CR participants was associated with significant increases in daily step count and aerobic capacity when compared with controls. However, study size was small and variability in intervention supports the need for larger trials to assess use of activity trackers in CR.

Psychophysiological Therapy from a Distance: The Art of Sharing

Psychophysiological Therapy from a Distance: The Art of Sharing

Smartphone fitness apps can improve physical activity

Smartphone fitness apps and wearable activity trackers do help boost physical activity levels, finds a review and pooled data analysis of the available evidence

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.

Wearable Activity Tracking Device Use in an Adolescent Weight Management Clinic: A Randomized Controlled Pilot Trial.

Background The use of physical activity tracker devices has increased within the general population. However, there is limited medical literature studying the efficacy of such devices in adolescents with obesity. In this study, we explored the feasibility of using wearable activity tracking devices as an adjunct intervention on adolescents with obesity. Methods Randomized controlled pilot trial evaluated the feasibility (attrition ≤50%) of an activity tracking intervention (ATI) and its effects on weight loss in adolescents with obesity enrolled in an adolescent weight management clinic (AWMC). Outcomes included feasibility (attrition rate) and absolute change in BMI. Differences between groups at 6, 12, and 18 weeks were examined. Results Forty-eight participants were enrolled in the study. Eighteen subjects were randomly assigned to the ATI group and 30 to control. The average age was 14.5 years. Overall, the majority of participants were Hispanic (56%). Sexes were equally distributed. The average baseline BMI was 37.5 kg/m2. At the study conclusion, the overall attrition rate was 52.1%, 44.4% in the ATI group versus 56.6% in the control group, with a differential attrition of 12.2%. The ATI and control groups each showed an absolute decrease in BMI of −0.25 and −2.77, respectively, with no significant differences between the groups. Conclusion The attrition rate in our study was >50%. Participation in the AWMC by the ATI and control groups resulted in maintenance of BMI and body weight for the study duration. However, the use of an activity tracking device was not associated with greater weight loss. This trial is registered with NCT03004378.

Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial.

BackgroundDespite a range of efforts to increase physical activity participation in Australia, inactivity levels in older adults have remained high over recent decades, contributing to increased rates of chronic health conditions. Lifestyle interventions, including telephone counseling (TC), improve physical activity participation and associated health outcomes over the short term; however, ongoing feedback and support is required to maintain these changes. Newer technologies such as wearable activity trackers (ATs) may offer an alternative method for providing ongoing support.ObjectiveThis study aims to investigate whether newer technologies such as wearable ATs assist in providing ongoing support to maintain physical activity levels and health outcomes.MethodsOlder adults aged >60 years who had just completed a 12-week face-to-face individualized community exercise program in Tasmania, Australia, participated in the study. They were randomized to receive AT, TC, or usual care (UC). All groups received a home exercise program and an optional referral to a community-based exercise program. The AT group also received an AT and text message feedback from an accredited exercise physiologist (AEP). The TC group received phone calls from an AEP throughout the 12-month intervention. The primary outcome was daily steps measured by an ActivPAL (TM) accelerometer at baseline and at 3, 6, and 12 months. Secondary outcome measures included body composition, blood pressure, 10-time sit-to-stand (TTSTS) test, timed up and go test, and cardiorespiratory fitness. This trial was approved by the Tasmanian Health and Medical Human Research Ethics Committee (H0014713).ResultsA total of 117 participants were randomized to the study (AT, n=37; TC, n=38; UC, n=42). At baseline, the participants (75/117, 64.1% female; mean age 72.4 years, SD 6.4) completed an average of 6136 steps (SD 2985) per day. Although there were no significant differences between groups, the TC and AT groups maintained daily step counts (mean difference [MD] −79 steps, 95% CI −823 to 663 steps; P=.81; and MD −588 steps, 95% CI −1359 to 182 steps; P=.09), and UC showed a reduction in daily steps (MD 981 steps, 95% CI −1668 to −294 steps; P=.003) during the 12-month period. Diastolic blood pressure was significantly higher after AT than after UC (MD 5.62 mm Hg, 95% CI 1.30 to 9.94 mm Hg; P=.01), and TTSTS was significantly slower on TC compared with UC (MD 2.36 seconds, 95% CI −0.14 to 4.87 seconds; P=.03).ConclusionsThe use of an AT with AEP support or TC is effective at maintaining daily step count in older adults over a 12-month period, suggesting that wearable ATs are as effective as TC. Further research to investigate which option is more cost-effective would be beneficial.Trial RegistrationAustralian New Zealand Clinical Trial Registry ACTRN12615001104549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=369118

The Power of Wearables: Is it Time to Use Commercially Available Activity Tracker Data Retrospectively to Understand Population Physical Activity Patterns?

Researchers from around the world have been rapidly mobilised to study the effects of the coronavirus pandemic on health behaviours, including physical activity. However, due to the speed at which physical and social distancing restrictions have been imposed, it has been impossible to obtain large-scale, device-based, data in order to understand the effect of the pandemic on physical activity levels. This situation highlights the pressing need for accurate, remote, and scalable methods to not only monitor, but support PA behaviour in the wider population.Existing data from wearable activity trackers could be the answer. These data can be obtained retrospectively to provide a clearer picture of the impact of the pandemic and could also be used more generally as a method to understand population-level physical activity levels. In this commentary we aim to highlight the potential benefits, as well as the limitations, of using existing data from wearable activity trackers to understand large-scale physical activity patterns and stimulate discussion amongst the scientific community on what the future holds with respect to physical activity measurement and surveillance.

Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure.

Background: Blood pressure (BP) is an essential indicator for human health and is known to be greatly influenced by lifestyle factors, like activity and sleep factors. However, the degree of impact of each lifestyle factor on BP is unknown and may vary between individuals. Our goal is to investigate the relationships between BP and lifestyle factors and provide personalized and precise recommendations to improve BP, as opposed to the current practice of general lifestyle recommendations. Method: Our proposed system consists of automated data collection using home BP monitors and wearable activity trackers and feature engineering techniques to address time-series data and enhance interpretability. We propose Random Forest with Shapley-Value-based Feature Selection to offer personalized BP modeling and top lifestyle factor identification, and subsequent generation of precise recommendations based on the top factors. Result: In collaboration with UC San Diego Health and Altman Clinical and Translational Research Institute, we performed a clinical study, applying our system to 25 patients with elevated BP or stage I hypertension for three consecutive months. Our study results validate our system’s ability to provide accurate personalized BP models and identify the top features which can vary greatly between individuals. We also validate the effectiveness of personalized recommendations in a randomized controlled experiment. After receiving recommendations, the subjects in the experimental group decreased their BPs by 3.8 and 2.3 for systolic and diastolic BP, compared to the decrease of 0.3 and 0.9 for the subjects without recommendations. Conclusion: The study demonstrates the potential of using wearables and machine learning to develop personalized models and precise lifestyle recommendations to improve BP.

"I shy away from them because they are very identifiable": A qualitative study exploring user and non-user's perceptions of wearable activity trackers.

ObjectiveWearable activity trackers hold potential as a research tool to increase physical activity. However, long-term wearable adherence is low among users, which may be due to the limited understanding of the factors related to use and relation to health behavior theory. The purpose of this study was to qualitatively explore the perceptions of wearables among active adult users and non-users. Findings will inform potential barriers and facilitators for the adherence and adoption of wearables through the application of the Self-Determination Theory.MethodsSix focus groups were conducted and equally stratified to wearable users (n = 10) and non-users (n = 10). Data were audio recorded, transcribed, and analyzed using an iterative approach creating first-level codes. This was followed by developing second-level codes that allowed for generating themes.ResultsFor users, the wearables’ feedback provided them with validation, a sense of achievement, and other-determined motivation. Users appreciated the functionality of wearables, particularly with simpler and newer models. They also reported improvements in health behaviors. While both users and non-users had a general positive feeling towards wearables, they held similar concerns about cost, guilt, dependency, and accuracy. Non-users were unique in their concerns for materialism and functionality (i.e. ease of use and charge) associated with wearables. They also seemed to be more intrinsically motivated to be physically active by relying less on external sources of motivation as potentially provided by wearables.ConclusionsFindings show that while both adult users and non-users held positive perceptions of wearables and concerns for feelings of guilt and dependency, widespread adoption and adherence may be prevented by differences in motivation for physical activity and concerns for cost, materialism, and functionality.

Perspectives of older adults with chronic disease on the use of wearable technology and video games for physical activity.

BackgroundThere is increasing interest in technology to deliver physical rehabilitation and allow clinicians to monitor progress. Examples include wearable activity trackers and active video games (AVGs), where physical activity is required to play the game. However, few studies have explored what may influence the effectiveness of these as technology-based physical activity interventions in older adults with chronic diseases.ObjectiveThis study aimed to explore: 1) perceptions about wearable physical activity trackers; 2) perceptions about using technology to share physical activity information with clinicians; 3) barriers and motivators to playing games, including AVGs for rehabilitation.MethodsQualitative study based on semi-structured interviews with older adults (n = 19) with chronic obstructive pulmonary disease (COPD).ResultsWearable activity trackers were perceived as useful to quantify activity, facilitate goal-setting, visualize long-term improvements and provide reminders. Participants generally wished to share data with their clinicians to gain greater accountability, receive useful feedback and improve the quality of clinical care. Participants were motivated to play games (including AVGs) by seeking fun, social interaction and health benefits. Some felt that AVGs were of no benefit or were too difficult. Competition was both a motivator and a barrier.ConclusionsThe findings of the present study seek to inform the design of technology to encourage physical activity in older adults with chronic diseases.

A Qualitative Study of Early Intervention Psychosis (EIP) Service Patient’s Experience of Sleep, Exercise, Sleep Hygiene Advice and Fitbit Wearable Activity and Sleep Tracker

Background: In psychosis physical activity, sleep, mental health, physical health, wellbeing, quality of life, cognition and functioning are interconnected. People who experience psychosis are more likely than the general population to have low levels of physical activity, high levels of sedentary behaviour and sleep problems. This project was innovative in seeking to address these issues through provision of a wearable activity and sleep tracker (a Fitbit) and sleep hygiene advice. Participants: Participants using an early intervention psychosis (EIP) service took part in an eight-week intervention, which incorporated the provision of a Fitbit, sleep hygiene advice as well as three engagement, feedback and discussion points with a clinician. Methods: A qualitative approach was used to conduct in-depth semi-structured interviews with 12 of the 25 intervention participants (5 male; 7 female). Thematic and content analyses were employed to analyse the data. Results: Participants provided valuable insights into their experience of sleep, exercise, Fitbit use and sleep hygiene advice use. It was found that participants placed a high value on effective night time sleep, recognized improvements in physical activity and noted a positive effect on mood and wellbeing as a result of Fitbit use. The negative impact of having ineffective night time sleep and insufficient physical activity was described. Participants demonstrated a good level of understanding of the connection between sleep, exercise, wellbeing, and health. Conclusion: Participants reported the Fitbit and sleep hygiene advice received through an EIP service to be beneficial for improved levels of physical activity and exercise, and more effective sleep. This is a simple and low cost intervention which could be made widely available through EIP and other mental health services.

Assessing the Feasibility of a Novel mHealth App in Hematopoietic Stem Cell Transplant Patients

Hematopoietic stem cell transplantation (HCT) is a curative treatment option for patients with hematologic conditions but presents many complications that must be managed as a complex, chronic condition. Mobile health applications (mHealth apps) may permit tracking of symptoms in HCT. In seeking strategies to manage the complexities of HCT, our team collaborated with Sicklesoft, Inc., to develop an mHealth app specifically for HCT patients to allow for daily evaluation of patient health, Technology Recordings to better Understand Bone Marrow Transplantation (TRU-BMT). The primary value of this application is that of potentially enhancing the monitoring of symptoms and general health of patients undergoing HCT, with the ultimate goal of allowing earlier detection of adverse events, earlier intervention, and improving outcomes. To first evaluate patient interest in mHealth apps, we designed and administered an interest survey to patients at the 2017 BMT-InfoNet reunion. As a follow-up to the positive feedback received, we began testing the TRU-BMT app in a Phase 1 pilot study. Thirty patients were enrolled in this single-arm study and were given the TRU-BMT mHealth app on a smartphone device in addition to a wearable activity tracker. Patients were followed for up to 180 days, all the while receiving daily app monitoring. Adherence to TRU-BMT was approximately 30% daily and 44% weekly, and greater adherence was associated with increased meal completion, decreased heart rate, and shorter hospital stay. TRU-BMT assessments of symptom severity were significantly associated with duration of hospital stay and development of chronic graft-versus-host disease. Our findings suggest that using TRU-BMT throughout HCT is feasible for patients and established a proof-of-concept for a future randomized control trial of the TRU-BMT application in HCT.© 2021 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Effect of a Culturally Adapted Behavioral Intervention for Latino Adults on Weight Loss Over 2 Years

Identifying effective weight loss interventions for Latino adults at risk of diabetes is of critical public health importance. To determine whether a culturally adapted behavioral intervention for Latino adults was more effective than usual care for weight loss over 24 months. In this randomized clinical trial, Latino adults with a body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 24 or greater and a high risk for type 2 diabetes were recruited in primary care practices in the San Francisco, California, area, randomized to receive the Vida Sana intervention or usual care, and followed up for 24 months. The study was conducted from November 2015 to May 2019, and data were analyzed from July 2019 to Septmeber 2020. The treatment group received Vida Sana, a culturally adapted lifestyle intervention that included a family-based orientation session and 22 group sessions over 12 months. Participants were encouraged to use a wearable activity tracker and mobile applications to track their physical activity and dietary intake. Participants received monthly email messages for an additional 12 months. The control group received usual care. The primary outcome was weight loss at 24 months. Secondary outcomes included weight loss at 12 months and achieving at least 5% weight loss at 12 and 24 months. Associations of baseline characteristics and intervention adherence with weight loss outcomes were also examined. Among 191 participants (mean [SD] age, 50.2 [12.2] years; 118 [61.8%] women; 107 participants [57.2%] of Mexican origin; mean [SD] baseline BMI, 32.4 [5.7]) randomized, 92 participants were randomized to the intervention and 99 participants were randomized to usual care. Of these, 185 participants (96.9%) completed 24-month follow-up. Mean (SD) weight loss did not differ significantly by group at 24 months (intervention: -1.1 [5.7] kg; control: -1.1 [7.1] kg; P = .93). However, mean (SD) weight loss was significantly greater in the intervention group (-2.6 [6.0] kg) than the control group (-0.3 [4.2] kg) at 12 months (mean difference, -2.1 [95% CI, -3.6 to -0.7] kg; P = .005). Intervention participants were more likely to achieve at least 5% weight loss than control participants at 12 months (22 participants [25.9%] vs 9 participants [9.2%]; P = .003), and participants who achieved at least 5% weight loss attended more intervention sessions than those who did not (mean [SD], 16.6 [7.6] sessions vs 12.4 [7.5] sessions; P = .03). These findings suggest that among Latino adults with high diabetes risk, a culturally adapted behavioral lifestyle intervention was effective for weight loss over 12 months but not 24 months. ClinicalTrials.gov Identifier: NCT02459691.

Technology Use Among Caregivers for Persons With and Without Cognitive Impairment

This study aims at describing technology use among caregivers for middle-aged or older adults with and without cognitive impairment (CI) and examining whether the associations between technology use, caregiver strain, and social support differ by care-recipient CI status. Online data from caregivers (n=561) for adults at aged 50 years and older were analyzed from a national caregiver and technology survey. Multiple binary items were used to indicate caregivers’ use of various devices (smartphone, computer, e-reader, and wearable activity tracker) and applications (communication, online banking, navigation, online entertainment, medication alert/tracker, and physical activity tracker). Predictors were care-recipient CI status (having been diagnosed with cognitive problems versus no cognitive problems), caregiver strain, and social support. Multivariable logistic regression models were fitted for each technology and for testing effect modification by care- recipient CI status. All models were adjusted for total caregiving hours and caregiver age, sex, race/ethnicity, financial status, and residence. Almost half (47%) reported their care-recipient was diagnosed with CI. Caregivers for those with CI were more likely to use e-readers (adjusted odds ratio (AOR) = 1.55, p=.040), wearable activity trackers (AOR=1.77, p=.013), and medication alerts/trackers (AOR=2.59, p<.001). Generally, greater caregiving strain and social support were positively associated with use of multiple technologies (p<.05). No effect modification of caregiving strain and social support by CI status was observed (p>.05). Technology use differences among caregivers of persons with CI may be driven by care recipients’ unique situations and demands. Future research should identify technology use benefits on caregiver health-related quality of life.

Objective measurement of adherence to wearing foot orthoses using an embedded temperature sensor

The objective of this study was to evaluate the validity of a temperature sensor for the measurement of adherence to wearing foot orthoses. Ten participants were provided with foot orthoses containing an embedded temperature sensor and wore the orthoses for a randomly-determined duration over a five-day period. Sensor-detected wear time was compared to a reference standard (objectively measured wear time using a smart-phone application). Ambient temperature and physical activity were recorded with a temperature gauge and wearable activity tracker, respectively. A simple peak detection algorithm which identified the largest one-minute changes in sensor temperature provided highly accurate wear time values (r = 0.999, coefficient of variation=0.2%). Ambient temperature and physical activity did not significantly influence temperature sensor scores. These findings demonstrate that the temperature sensor provides accurate foot orthosis wear time data and may therefore be a useful tool for documenting adherence in clinical practice and intervention studies.