Search

Background: Few mobile health resistance-based physical activity interventions have targeted community-dwelling adults. "Ecofit" is a multicomponent intervention that promotes resistance and aerobic activities using smartphone technology, outdoor gyms, and social support. This study evaluated process evaluation outcomes of the ecofit randomized controlled trial: (1) the acceptability and usability of the ecofit smartphone app and app user workouts; (2) perceptions of factors influencing outdoor gym use; and (3) the fidelity, reach, recruitment, and dose received of the ecofit program. Methods: Process data were collected through program evaluation surveys at 3 months, and app usage data were collected via the intervention platform for up to 3 months. Data were analyzed using descriptive statistics. Results: The survey was completed by 57% (n = 69) of eligible participants. The majority (93%) believed the app provided them with sufficient information to perform muscle-strengthening activities. Approximately half (51%) agreed that the goal-setting function encouraged them to complete their workouts, and 42% agreed that the self-assessment helped them monitor progress. "Proximity" to outdoor gyms emerged as the most important factor for choosing locations to workout (mean = 5.5, SD = 1.1). Participants logged a median of 5.5 (interquartile range = 19) workouts and 1 (interquartile range = 1) upper- and lower-body muscular fitness self-assessment. Conclusions: The ecofit app provided participants with sufficient skills to perform unsupervised resistance training exercises using mobile health. Only half of the participants regarded self-assessments and goal setting as useful, suggesting a need for modifications to how these are implemented. Mobile health remains a promising delivery platform to promote unsupervised resistance training, although more research is needed to improve uptake. [ABSTRACT FROM AUTHOR]

Purpose: Although running traditionally relies on critical speed (CS) as an indicator of critical intensity, portable inertial measurement units offer a potential solution for estimating running mechanical power to assess critical power (CP) in runners. The purpose of this study was to determine whether CS and CP differ when assessed using the Stryd device, a portable inertial measurement unit, and if 2 running bouts are sufficient to determine CS and CP. Methods: On an outdoor running track, 10 trained runners ( V ˙ O 2 max , 59.0 [4.2] mL·kg−1·min−1) performed 3 running time trials (TT) between 1200 and 4400 m on separate days. CS and CP were derived from 2-parameter hyperbolic speed–time and power–time models, respectively, using 2 (CS2TT and CP2TT) and 3 (CS3TT and CP3TT) TTs. Subsequently, runners performed constant-intensity running for 800 m at their calculated CS3TT and CP3TT. Results: Running at the calculated CS3TT speed (3.88 [0.44] m·s−1) elicited an average Stryd running power (271 [28] W) not different from the calculated CP3TT (270 [28]; P =.940; d = 0.02), with excellent agreement between the 2 values (intraclass correlation coefficient =.980). The CS2TT (3.97 [0.42] m·s−1) was not higher than CS3TT (3.89 [0.44] m·s−1; P =.178; d = 0.46); however, CP2TT (278 [29] W) was greater than CP3TT (P =.041; d = 0.75). Conclusion: The running intensities at CS and CP were similar, supporting the use of running power (Stryd) as a metric of aerobic fitness and exercise prescription, and 2 trials provided a reasonable, albeit higher, estimate of CS and CP. [ABSTRACT FROM AUTHOR]

Purpose: To examine the feasibility and utility of the Fitbit Charge HR to estimate physical activity among ambulatory children and youth with disabilities. Method: Participants (4–17 y old) with disabilities were recruited and asked to wear a Fitbit for 28 days. Feasibility was assessed as the number of participants who adhered to the 28-day protocol. Heat maps were generated to visually examine variability in step count by age, gender, and disability group. Between-group differences for wear time and step counts by age, gender, and disability type were assessed by independent sample t tests for gender and disability group, and a 1-way analysis of variance for age group. Results: Participants (N = 157; median age = 10 y; 71% boys; 71% nonphysical disabilities) averaged 21 valid days of wear time. Wear time was higher in girls than boys (mean difference = 18.0; 95% confidence interval [CI], 6.8 to 29.1), and in preadolescents (mean difference = 27.6; 95% CI, 15.5 to 39.7) and adolescents (mean difference = −21.2; 95% CI, −33.6 to −8.7) than children. More daily steps were taken by boys than girls (mean difference = −1040; 95% CI, −1465 to −615) and individuals with a nonphysical disability than a physical disability (mean difference = −1120; 95% CI, −1474 to −765). The heat maps showed peaks in physical activity on weekdays before school, at recess, lunchtime, and after school. Conclusion: The Fitbit is a feasible tool for monitoring physical activity among ambulatory children and youth with disabilities and may be useful for population-level surveillance and intervention. [ABSTRACT FROM AUTHOR]

Background: This study demonstrates how formative process evaluation was used to assess implementation and improve dose and fidelity in the Together Everyone Achieves More Physical Activity (TEAM-PA) randomized controlled trial. TEAM-PA uses a randomized group cohort design to evaluate the efficacy of a group-based intervention for increasing physical activity among African American women. Methods: Intervention groups met for 10 weeks and were co-led by female African American facilitators, with intervention sessions consisting of group feedback, a health curriculum, group-based physical activity games, and group-based goal-setting. Drawing from a multi-theoretical framework, the intervention targeted social affiliation using collaborative and competitive group strategies, including essential elements focused on group-based behavioral skills, peer-to-peer positive communication, collectivism, optimal challenge, social facilitation, and peer to peer challenges. Formative process evaluation was used to monitor reach, dose, and fidelity, and implement feedback and solutions. Results: Across two cohorts, four groups (n = 54) were randomized to the TEAM-PA intervention. On average 84.8% of participants attended each week, which exceeded the a priori criteria. Results from the systematic observations indicated that on average 93% of the dose items were completed in each session and adequate levels of fidelity were achieved at both the facilitator and group-levels. Participants were compliant with wearing the FitBits (6.73 ± 0.42 days/week) and most participants successfully contributed to meeting the group-based goals. The use of open-ended items also revealed the need for additional modifications to the group-based PA games, including allowing for individuals to take breaks, incorporating a broader range of exercises, minimizing activities that required bending/reaching down without assistance, and providing facilitators with additional training for implementing the games. Initial evidence suggests that these changes were successful in increasing participants' comprehension of the games from Cohort 1 (M = 1.83, SD = 0.71) to Cohort 2 (M = 3.33, SD = 0.69). Conclusion: Findings from this study demonstrated high levels of reach, dose, and fidelity, while also highlighting strategies for implementing competitive group-based PA games that are accessible across physical fitness levels. Formative process evaluation, including open-ended items and collaborative brainstorming, holds tremendous potential for improving future interventions. Trial registration: This study was registered on Clinicaltrials.gov (# NCT05519696) on August 22, 2022 prior to the enrollment of the first participant on September 12, 2022 (https://clinicaltrials.gov/study/NCT05519696?term=NCT05519696&rank=1). [ABSTRACT FROM AUTHOR]

Currently, the lack of physical activity can lead to health problems, with the increase in obesity in children between 8 and 18 years old being of particular interest because it is a formative stage. One of the aspects of trying to solve this problem is the need for a standardized, less subjective, and more efficient method of evaluating physical condition in these children compared to traditional approaches. Objective: Develop a multiplatform based on computer vision technology that allows the evaluation of the physical fitness of schoolchildren using smartphones. Methodology: A descriptive cross-sectional study was carried out on schoolchildren aged 8 to 18 years of both sexes. The sample was 228 schoolchildren (128 boys and 108 girls). Anthropometric measurements of weight, height, and waist circumference were evaluated. Body mass index (BMI) was calculated. Four physical tests were evaluated: flexibility (sit and reach), horizontal jump (explosive strength), biceps curl (right arm strength resistance), and sit-ups (abdominal muscle resistance). With the information collected traditionally and by filming the physical tests, a computer vision system was developed to evaluate physical fitness in schoolchildren. Results: The implemented system obtained an acceptable level of precision, reaching 94% precision in field evaluations and a percentage greater than 95% in laboratory evaluations for testing. The developed mobile application also obtained a high accuracy percentage, greater than 95% in two tests and close to 85% in the remaining two. Finally, the Systematic Software Quality Model was used to determine user satisfaction with the presented prototype. Regarding usability, a satisfaction level of 97% and a reliability level of 100% was obtained. Conclusion: Compared to traditional evaluation and computer vision, the proposal was satisfactorily validated. These results were obtained using the Expanded Systematic Software Quality Model, which reached an "advanced" quality level, satisfying functionality, usability, and reliability characteristics. This advance demonstrates that the integration of computer vision is feasible, highly effective in the educational context, and applicable in the evaluations of physical education classes. [ABSTRACT FROM AUTHOR]

This paper addresses the challenge of integrating wearable activity trackers (WATs) into cardiovascular disease care. Despite evidence supporting the use of trackers for monitoring and promoting physical activity, implementation challenges persist in clinical settings. The paper emphasizes the lack of systematic, evidence-based implementation approaches for integrating trackers. It underscores the urgent need for stakeholder collaboration between clinicians, patients, implementation scientists, researchers, health and technology partners, and the use of proven implementation science methodologies. This is crucial for bridging the gap and ensuring effective translation of WATs into cardiovascular care, meeting the increasing demand from patients and clinicians. [ABSTRACT FROM AUTHOR]

Aims To evaluate a self-administered digital education resource for patients after a heart attack (adapted simplified Chinese version of Cardiac College™) on secondary prevention knowledge and health behaviour change outcomes. Methods and results Chinese immigrants recovering from a heart attack were recruited from cardiac rehabilitation programmes at four metropolitan tertiary hospitals. Participants provided access to Cardiac College™ (adapted simplified Chinese version), a self-learning secondary prevention virtual education resource over 4 weeks. The web-based resources include 9 booklets and 10 pre-recorded video education sessions. Assessments included health literacy, secondary prevention knowledge, self-management behaviours, self-reported physical activity, and a heart-healthy diet. Satisfaction, acceptability, and engagement were also assessed. From 81 patients screened, 67 were recruited, and 64 (95.5%) completed the study. The participants' mean age was 67.2 ± 8.1 years old, 81.2% were males, and the majority had no English proficiency (65.6%). Following the intervention, significant improvements were observed for secondary prevention knowledge overall and in all subdomains, with the most improvement occurring in medical, exercise, and psychological domains (P < 0.001). Dietary and self-management behaviours also improved significantly (P < 0.05). According to participants, the educational materials were engaging (100%), and the content was adequate (68.8%); however, 26.6% found the information overwhelming. Overall, 46.9% were highly satisfied with the resources. Conclusion A self-learning virtual patient-education package improved secondary prevention knowledge and self-care behaviour in Chinese immigrants after a heart attack. The culturally adapted version of Cardiac College™ offers an alternative education model where bilingual staff or translated resources are limited. [ABSTRACT FROM AUTHOR]

Athlete load monitoring using upper back-mounted global navigation satellite system (GNSS) player tracking is common within many team sports. However, accelerometer-based load monitoring may provide information that cannot be achieved with GNSS alone. This review focuses on the accelerometer-based metrics quantifying the accumulation of accelerations as an estimation of athlete training load, appraising the validity and reliability of accelerometer use in upper back-mounted GNSS player tracking systems, the accelerometer-based metrics, and their potential for application within athlete monitoring. Reliability of GNSS-housed accelerometers and accelerometer-based metrics are dependent on the equipment model, signal processing methods, and the activity being monitored. Furthermore, GNSS unit placement on the upper back may be suboptimal for accelerometer-based estimation of mechanical load. Because there are currently no feasible gold standard comparisons for field-based whole-body biomechanical load, the validity of accelerometer-based load metrics has largely been considered in relation to other measures of training load and exercise intensity. In terms of convergent validity, accelerometer-based metrics (e.g., Play- erLoad, Dynamic Stress Load, Body Load) have correlated, albeit with varying magnitudes and certainty, with measures of internal physiological load, exercise intensity, total distance, collisions and impacts, fatigue, and injury risk and incidence. Currently, comparisons of these metrics should not be made between athletes because of mass or technique differences or between manufacturers because of processing variations. Notable areas for further study include the associations between accelerometer- based metrics and other parts of biomechanical load-adaptation pathways of interest, such as internal biomechanical loads or methods of manipulating these metrics through effective training design. [ABSTRACT FROM AUTHOR]

Aim: No studies have examined notifications as they relate to parent stress. We aimed to examine associations between objective daily mobile device notifications and pickups with daily parenting stress. Methods: This was a within‐ and between‐subjects, cross‐sectional study that took place from 2020 to 2021. The study occurred during the coronavirus disease of 2019 pandemic. Data were collected in a low‐contact home visit. This study included 62 parents of 62 children aged 48–71 months. Parents downloaded a passive sensing app on their Android mobile devices collecting data on duration, device notifications and device pickups. Parents completed an end‐of‐day stress survey for 4 days. We used random effects models to examine the variation of daily stress with smartphone duration, notification frequency, pickup frequency and device‐initiated pickups, adjusting for covariates. Results: Parents were on average 37.3 years old (SD ± 5.7) and were predominantly mothers (82.3%). On average, parents received 293 daily notifications and picked up their phones 93 times. Duration of smartphone use and notification frequency were not associated with daily stress. Device‐initiated pickups were associated with daily parent stress. Conclusion: When notifications prompted parents to pick up their phones more often, parents experienced greater stress. [ABSTRACT FROM AUTHOR]

Objective: A growing body of research, primarily cross‐sectional, suggests a relationship between the practice of tracking one's food intake and exercise behaviors using fitness‐tracking smartphone applications ("apps") or wearable devices ("wearables") and disordered eating symptomatology. The aim of the present study was to explore longitudinal relationships between fitness tracking and disordered eating outcomes among college‐aged women, as well as to determine whether the individual‐level risk factors of pre‐existing eating concerns, perfectionism, and rumination about food moderated the relationship. Method: N = 68 female undergraduates used the MyFitnessPal app for 8 weeks while completing a series of self‐report measures. Results: At the trait level, fitness tracking frequency was positively associated with weight/shape concerns, but not with the other outcome measures. Daily levels of fitness tracking did not predict next‐day levels for any of the outcome measures. Within‐day fitness tracking at one timepoint was associated with lower reports of dietary restraint efforts at the next timepoint. None of the proposed moderators significantly interacted with the relationships over time. Discussion: These results suggest that while those who engage in fitness tracking may experience higher weight/shape concerns as a trait, over time fitness tracking was not associated with an increase in concerns. Further work exploring whether fitness tracking may affect particular subgroups in different ways is warranted. [ABSTRACT FROM AUTHOR]

Introduction: There is evidence to demonstrate that plasticity is "use-dependent" and that intensive practice may be necessary to modify neural organization. Purpose: The main aim of this work is to investigate the REACT usability, an innovative app, to assist People with Parkinson Disease (PwPD) at home. Methods: A pilot study has been conducted enrolling 20 consecutive PwPD. Before home rehabilitation activities started, each patient received training on the REACT app and how to use the device and the services in daily practice. Motor and cognitive evaluations were administered to assign personalized exercises, tailored to patients' needs and potential. PwPD carried out REACT home program for 1 month, four times a week. The app included motor exercise and tutorial of activities of daily living (ADL) and functional cognitive stimulation. REACT-app usability was evaluated with the System Usability Scale (SUS). Results: The results from SUS questionnaire were, on average, above the threshold of "good usability" (SUS score > 68), as reported in the literature. The 47% of PwPD that used the app rated the usability of the solution as "excellent." Almost all SUS items reached the reference benchmark (except items 4, 5, and 7). No adverse events occurred. Conclusions: REACT can be considered a useful and safe tool to support the continuity of care and treatment at home, in PwPD. Larger-scale trials are needed to validate the good acceptance and efficacy of home rehabilitation through technology applications. [ABSTRACT FROM AUTHOR]

Key Points: Question: Among people with obesity trying to lose weight, is a wireless system that provides daily feedback on progress in lifestyle change and weight loss noninferior to the same system combined with human coaching? Findings: In an adaptive, noninferiority randomized clinical trial of 400 adults with overweight or obesity, mean 6-month weight change was −2.8 (95% CI, −3.5 to −0.08) kg with the wireless system alone and −4.8 (95% CI, −5.5 to −4.1) kg with the wireless system with coaching (difference in weight change, −2.0 kg [90% CI, −2.9 to –1.1]). The CI around the difference in weight change estimate included the prespecified noninferiority threshold margin of −2.5 kg. Meaning: A wireless system that provided daily feedback on progress in lifestyle change and weight loss was not noninferior to the same system with human coaching. Importance: Lifestyle interventions for weight loss are difficult to implement in clinical practice. Self-managed mobile health implementations without or with added support after unsuccessful weight loss attempts could offer effective population-level obesity management. Objective: To test whether a wireless feedback system (WFS) yields noninferior weight loss vs WFS plus telephone coaching and whether participants who do not respond to initial treatment achieve greater weight loss with more vs less vigorous step-up interventions. Design, Setting, and Participants: In this noninferiority randomized trial, 400 adults aged 18 to 60 years with a body mass index of 27 to 45 were randomized in a 1:1 ratio to undergo 3 months of treatment initially with WFS or WFS plus coaching at a US academic medical center between June 2017 and March 2021. Participants attaining suboptimal weight loss were rerandomized to undergo modest or vigorous step-up intervention. Interventions: The WFS included a Wi-Fi activity tracker and scale transmitting data to a smartphone app to provide daily feedback on progress in lifestyle change and weight loss, and WFS plus coaching added 12 weekly 10- to 15-minute supportive coaching calls delivered by bachelor's degree–level health promotionists viewing participants' self-monitoring data on a dashboard; step-up interventions included supportive messaging via mobile device screen notifications (app-based screen alerts) without or with coaching or powdered meal replacement. Participants and staff were unblinded and outcome assessors were blinded to treatment randomization. Main Outcomes and Measures: The primary outcome was the between-group difference in 6-month weight change, with the noninferiority margin defined as a difference in weight change of −2.5 kg; secondary outcomes included between-group differences for all participants in weight change at 3 and 12 months and between-group 6-month weight change difference among nonresponders exposed to modest vs vigorous step-up interventions. Results: Among 400 participants (mean [SD] age, 40.5 [11.2] years; 305 [76.3%] women; 81 participants were Black and 266 were White; mean [SD] body mass index, 34.4 [4.3]) randomized to undergo WFS (n = 199) vs WFS plus coaching (n = 201), outcome data were available for 342 participants (85.5%) at 6 months. Six-month weight loss was −2.8 kg (95% CI, −3.5 to −2.0) for the WFS group and −4.8 kg (95% CI, −5.5 to −4.1) for participants in the WFS plus coaching group (difference in weight change, −2.0 kg [90% CI, −2.9 to –1.1]; P <.001); the 90% CI included the noninferiority margin of −2.5 kg. Weight change differences were comparable at 3 and 12 months and, among nonresponders, at 6 months, with no difference by step-up therapy. Conclusions and Relevance: A wireless feedback system (Wi-Fi activity tracker and scale with smartphone app to provide daily feedback) was not noninferior to the same system with added coaching. Continued efforts are needed to identify strategies for weight loss management and to accurately select interventions for different individuals to achieve weight loss goals. Trial Registration: ClinicalTrials.gov Identifier: NCT02997943 This noninferiority randomized trial compares the effects of a wireless system designed to provide daily feedback on progress in lifestyle change and weight loss vs the same system with additional human coaching on weight change among people with overweight and obesity. [ABSTRACT FROM AUTHOR]

This study investigates whether types, purposes, and contexts of using an app affect the relationships between Information technology (IT) identity and post-adoption behaviors. We designed four experiments to examine the effects of IT identity on positive use behaviors for four groups of health-apps (i.e. managing chronic physical diseases, health-related habits, mental disorders, and diet/fitness). Results suggest that these relationships vary by the interaction between the purpose of using a health app and seven moderating factors. [ABSTRACT FROM AUTHOR]

Purpose: Firms can benefit from designing sales promotion based on the analysis of consumers' physical exercise and purchase data. This study aims to study mobile exercise app data to explore how purchasing a promoted or nonpromoted product affects exercisers' subsequent exercise and purchase behaviors. Design/methodology/approach: Drawing from the theoretical framework of overjustification effect, this study empirically examines the effects of the purchase of promoted – monetary and nonmonetary – or nonpromoted products on relationships (1) between past and subsequent exercise behaviors and (2) between past exercise and subsequent purchase behaviors. Novel data of one million exercise activities and purchase transactions created by 7,517 mobile exercise app users were collected. Findings: The results reveal that monetary and nonmonetary promotions have a negative effect on overall consumers' amount of physical exercise but increase heavy exercisers' exercise amount. In addition, nonmonetary (monetary) promotion has a positive (negative) effect on consumers' purchase expenditure but has no moderating effect on the exercise–expenditure relationship. Originality/value: This study provides a theoretical framework explaining how to mitigate the dark side of sales promotions while targeting right exercise consumer segments with the right promotion campaigns. [ABSTRACT FROM AUTHOR]

Falls risk is often assessed without considering exposure to risk. We examined the risk factors associated with falls in those with greater and lower levels of daily step count. Falls were recorded over 12 months using bimonthly calendars in community-dwelling older people (mean age 72.0, SD 6.9). Daily step count was measured using a pedometer worn consecutively for 7 days. A cut score of <5,575.5 steps/day was used to identify people with lower step count. Negative binominal models were used to identify cognitive, medical, and sensorimotor factors associated with falls in those with higher versus lower levels of daily step count. In those with lower daily step count, poorer executive function, slower gait speed, and lower steps per day were associated with increased falls risk. In those with higher step count, only mood was associated with increased falls risk. Considering daily step count is important when assessing falls risk in older people. [ABSTRACT FROM AUTHOR]

Background: This study aimed to gather data on physical activity (PA), bleeding, health-related quality of life, and health status, using a wearable device and an electronic patient-reported outcome (ePRO) app, in individuals with moderate or severe hemophilia A (HA) without inhibitors receiving treatment according to the clinical practice. Methods: This is a 12-month multicenter cohort study conducted in Italy. The primary outcomes included the description of PA by type and intensity, adherence to World Health Organization guidelines, bleeding, and health-related quality of life by EQ-5D questionnaire. PA data were collected continuously through a fitness tracker worn by the patient; all the other variables were collected through ePRO questionnaires. Results: Only 54 of the 103 enrolled subjects (52.4%) used their fitness tracker for the defined valid period; adolescents were the least compliant age group. PA was performed at low rates and intensity. Approximately 52% of the subjects had sedentary behavior. The mean EQ-5D values did not change over time. At least one bleeding was reported in 43.7% of the subjects, mostly with sedentary behavior. The PA in the 2 days preceding the bleeding was comparable to the one observed in the overall observational period. Conclusions: The systematic recording of data through a fitness tracker and ePRO app shows that subjects with HA without inhibitors have lower-than-expected PA and that they still experience issues related to bleeding. [ABSTRACT FROM AUTHOR]

Health apps and wearables are touted to improve physical health and mental well-being. However, it is unclear from existing research the extent to which these health technologies are efficacious in improving physical and mental well-being at a population level, particularly for the underserved groups from the perspective of health equity and social determinants. Also, it is unclear if the relationship between health apps and wearables use and physical and mental well-being differs across individualistic, collectivistic, and a mix of individual–collectivistic cultures. A large-scale online survey was conducted in the U.S. (individualist culture), China (collectivist culture), and Singapore (mix of individual–collectivist culture) using quota sampling after obtaining ethical approval from the Institutional Review Board (IRB-2021-262) of Nanyang Technological University (NTU), Singapore. There was a total of 1004 respondents from the U.S., 1072 from China, and 1017 from Singapore. Data were analyzed using multiple regression and negative binomial regression. The study found that income consistently had the strongest relationship with physical and mental well-being measures in all three countries, while the use of health apps and wearables only had a moderate association with psychological well-being only in the US. Health apps and wearables were associated with the number of times people spent exercising and some mental health outcomes in China and Singapore, but they were only positively associated with psychological well-being in the US. The study emphasizes the importance of considering the social determinants, social–cultural context of the population, and the facilitating conditions for the effective use of digital health technologies. The study suggests that the combined use of both health apps and wearables is most strongly associated with better physical and mental health, though this association is less pronounced when individuals use only apps or wearables. [ABSTRACT FROM AUTHOR]

Introduction: Chronic pain is a prevalent issue among older adults in the United States that impairs quality of life. Physical activity has emerged as a costeffective and non-pharmacological treatment for chronic pain, offering benefits such as improved physical functioning, weight loss, and enhanced mood. However, promoting physical activity in older individuals with chronic pain is challenging, given the cyclical relationship between pain and sedentary behavior. The Mobile Intervention to Reduce Pain and Improve Health (MORPH) trial was designed as an innovative, mobile health (mHealth) supported intervention to address this issue by targeting daylong movement, weight loss, and mindfulness to manage pain in older adults with chronic multisite pain. The objective of this paper is to provide the result of a qualitative analysis conducted on post-intervention interviews with MORPH participants. Methods: At the conclusion of the MORPH study, 14 participants were interviewed regarding their experience with the program. All interviews were conducted by phone before being transcribed and verified. A codebook of significant takeaways was created based on these accounts. Summaries were further synthesized into themes using the principles of thematic analysis. Results: Three key themes of the MORPH intervention emerged from the qualitative interviews: MORPH technology (smart scales, Fitbit, MORPH Companion App) facilitated program adherence and accountability; MORPH intervention components (food tracking and mindfulness activities) facilitated program adherence and awareness, respectively; and, group meetings provided motivational support and accountability. Mobile health technologies, including a dedicated MORPH app, facilitated self-monitoring strategies, helped to break the cycle of old habits, and provided participants with immediate feedback on successes; however, technical issues required timely support to maintain engagement. Food tracking contributed to adherence and accountability for weight loss. Mindfulness activities increased participants' awareness of anxiety provoking thoughts and pain triggers. Finally, social support via group meetings and connection, played a crucial role in behavior change, but participants noted consistency in the delivery medium was essential to fostering genuine connections. Conclusion: Overall, the study results highlight the key considerations related to program technology, intervention components, and the value of social support that can help to guide the development of future interventions similar to MORPH. [ABSTRACT FROM AUTHOR]

Objective: The purpose was to understand college students' motivations for the use and discontinued use of fitness related technology (FRT) in relation to their physical activity behaviors. Participants: Participants were undergraduate students (n = 22) who were eligible if they were between 18–24 years of age (emerging adulthood) and current or previous users of FRT. Methods: Qualitative descriptive design was used with semi-structured interviews conducted virtually. Thematic analysis was used to analyze the data. Results: Participants discussed four themes; (1) Motivations for physical activity, (2) Motivations for using FRT, (3) Social connection improves accountability for physical activity, and (4) The ups and downs of FRT goal setting and data display. Conclusions: Best practice guidelines need to be established for the use of FRT along with approaches to promote physical activity among this population. Additional research is needed to identify reasons for discontinuation of use and to develop potential interventions to promote sustained engagement with FRT. [ABSTRACT FROM AUTHOR]

Purpose: Combining the coping theory and social support theory, this study aims to reveal users' coping strategies for mobile fitness app (MFA) engagement and fitness intentions with a rigorous and comprehensive hybrid research approach. Design/methodology/approach: A three-stage hybrid research design was employed in this study. In the first stage, this study utilized structural equation modeling (SEM) to investigate the associations between coping resources and coping outcomes. A post hoc analysis was conducted in the second stage to unveil the reasons behind the insignificant or weak linkages. In the third stage, the fuzzy-set qualitative comparative analysis (fsQCA) technique was applied to explore the various configurations of coping resources that lead to the coping outcomes. Findings: The results in the three stages verify and compensate each other. The SEM results confirm the presence of two coping strategies in MFA, highlighting the importance of the intertwining of the strategies, and the post hoc analysis unveils the mediating role of positive affect. Moreover, the fsQCA results reinforce and complement the SEM findings by revealing eight alternative configurations that are sufficient for leading to users' MFA engagement and fitness intention. Originality/value: This study offers a prominent methodological paradigm by demonstrating the application of multi-analysis in exploring users' coping strategies. In addition, the study also advances the understanding of the complexity of the mechanism that determines users' behavioral decisions by presenting a comprehensive interpretation. [ABSTRACT FROM AUTHOR]

Individuals with hearing impairment face several challenges, including difficulties in communication, social interactions, and accessibility to information on various auditory abilities. Innovations range from hearing aids to advanced communication devices and mobile apps. Designing solutions that prioritize user feedback ensures a more inclusive and empowering experience for people with hearing impairment. Assistive technology (AT) endeavors to enhance the daily lives of individuals, fostering greater connectivity, and also plays a crucial role in addressing these challenges. Therefore, an attention dual kernel support vector-based crossover red fox (ADKS-CRF) algorithm is developed for superior performance. This research study proposes a model combining a dual kernel support vector machine with an attention mechanism to implicitly operate in a high-dimensional feature space without computing the transformed vector features. The crossover strategy is incorporated with the red fox optimization algorithm, and the integrated formation of CRF fine-tunes the parameters of the ADKS model, removing the complexity of local optima. This work conducted experiments using raw data from an effective 3D ear acquisition system dataset. Experimental validation is conducted using various evaluation measures to assess effectiveness. The proposed hybrid approach achieves a sensitivity of 97.8%, an F1-score of 97.1%, a specificity of 96.3%, an accuracy of 98.4%, a false alarm rate of 90.8%, and a Matthews correlation coefficient of 97.3%. The comparative analysis evaluates the efficacy of the ADKSCRF method with various baseline approaches for the development of ATs for hearing-impaired people. [ABSTRACT FROM AUTHOR]

The purpose of this study was to evaluate the positive impact of mobile neurofeedback (MNF) in neurotypical children compared to sham mobile neurofeedback. Methods: Neurotypical children aged 10– 15 participated in the study. All subjects were assessed using the Kiddie Schedule for Affective Disorders and Schizophrenia Present and Lifetime Version Korean Version (K-SADS-PL-K) and confirmed to have no psychiatric symptoms. The participants were randomly assigned to the MNF active (N=31) or sham control (N=30) groups. The MNF program was administered using a mobile app for 30 min/day, 3 days/week, for 3 months. All participants and their parents completed self-report scales and participants complete neurocognitive function assessments including the continuous performance test, Stroop, children's color trails test-1 and 2, and intelligence test at baseline and after the 3-month MNF program. Results: This study involved 61 participants (mean [SD] age, 11.24 [1.84] years; 30 male participants [49.2%]). To verify the difference between the MNF group and the sham group, 2(MNF-Sham) X 2(Pre-Post) repeated measures ANOVA was performed. The main effect of the K-scale (Korea Internet addiction scale) between-group factor (MNF vs Sham) was not significant, but the main effect of the within-group factor (Pre vs Post) was significant (F=7.595, p=0.008). The interaction effect of between-group factors and within-group factors was also significant (F=5.979, p=0.017). In other self-reported scales of children and parents and neurocognitive function assessments, there was no significant difference between the two groups. Conclusion: Active mobile neurofeedback significantly improved children's K-scale score compared to the sham group. Therefore, mobile neurofeedback could be an easy-to-access therapeutic option for children at risk of Internet addiction. On the other hand, there was no significant difference in other scales and neurocognitive function. A 3-month intervention may not have been long enough to cause change, so longer interventions are needed for confirmation. [ABSTRACT FROM AUTHOR]

This paper presents the design, implementation and validation of a novel fitness mobile application called CalAid, aimed at promoting an active lifestyle, in the context of ever growing sedentarism in population of all ages. The application uses sensors present in most modern smartphones such as motion sensors, the 3-axial accelerometer, the gyroscope and the step counter in order to track energy expenditure and to obtain a more precise approximation of consumed calories. By using machine learning we can recognize the activities performed by the application client and, using metabolic equivalents, find the energy expenditure. [ABSTRACT FROM AUTHOR]

Background: Adolescence is a crucial stage for the development of OCD symptoms that, in most cases, persist into adulthood. This requires designing preventive strategies tailored to this population. Therefore, we aim to describe the study protocol that will be used to examine the effectiveness of a mobile health application to challenge obsessional beliefs in adolescents. Methods: A two-armed randomized controlled trial will be conducted on an adolescent sample from the general population. The experimental group will use the intervention module (GGOC-AD) of a mobile app on the GGtude platform for 14 days whereas the control group will use a non-active module (GGN-AD) of said app. Primary outcome measures will be obsessional beliefs and obsessive-compulsive symptoms, and secondary measures will be self-esteem and emotional symptoms. Three assessment points will be conducted at baseline, post-intervention, and one-month follow-up. A linear multiple regression model with an intention to treat approach will be used. The expected total sample size will be 55 participants. Discussion: We expect that the intervention group will show a reduction in obsessional beliefs and OCD-symptoms at post and follow-up in comparison with the control group. Additionally, we expect that the app will improve participants' self-esteem. This study could provide an accessible mobile health tool to prevent OCD-related symptoms in adolescents. Trial registration: ClinicalTrials.gov identifier: NCT06033391. Registered September 4, 2023. [ABSTRACT FROM AUTHOR]

Background: The issue of low physical activity (PA) levels among the youth is a longstanding concern. Smartphone applications offer a promising avenue for delivering interventions that are both accessible and engaging. Up to now, there appears to be a gap in the literature, with no systematic reviews assessing the efficacy of smartphone apps in encouraging increased physical activity among healthy young adults. Objective: To synthesize the effects of a smartphone app-based intervention on PA and PA-related psychological correlates in healthy young adults (18–35 years old). Methods: A search was conducted on eighteen databases: PubMed, Medline, Web of Science, SPORTDiscus, Scopus, Academic Search Premier, Communication and Mass Media Complete, Article First, Biomed Central, BioOne, EBSCOHost, JSTOR, ProQuest, SAGE Reference Online, ScienceDirect, SpringerLink, Taylor&Francis, and Wiley Online. The search covered the period up until December 2023. This research included all randomized controlled trials (RCTs) that evaluated the effectiveness of smartphone app-based interventions on PA and PA related psychological outcomes in healthy young adults. The overall impact was determined by vote counting based on the direction of effect and aggregating p values. The quality of the evidence was evaluated using an 8-item scale. This study has been registered in the PROSPERO database with the identification number CRD42023390033. Results: A total of 8403 articles were retrieved, and based on the predefined inclusion and exclusion criteria, seven articles were selected for inclusion. Among these articles, four high-quality RCTs were identified, and the results of vote counting and combining p values methods suggested that smartphone-based app interventions did not demonstrate significant effectiveness in improving PA and PA-related psychological outcomes. However, some improvements were observed. The analysis results, which were categorized into fitness apps and health apps based on the characteristics of the interventions, also failed to demonstrate significant intervention effects. Conclusion: The findings indicate that, currently, there are no significant effects of smartphone app interventions on improving PA and PA-related psychological outcomes in healthy young adults aged 18–35 years. It is important to note that these findings should be interpreted with caution due to the limited number of included studies. Future research should focus on employing high-quality study designs to determine the true effects of interventions and analyze various smartphone app interventions. These analyses should encompass different app characteristics (e.g., fitness app and health app), various combinations (e.g., fitness app alone and fitness app in combination with other interventions), diverse intervention goals (e.g., PA and PA along with other outcomes), and multiple intervention characteristics (e.g., frequency and duration). [ABSTRACT FROM AUTHOR]

Objectives: In developing nations such as India, a disparity exists between the available resources for stroke rehabilitation and the substantial burden of stroke cases. Consequently, the provision of cost-effective and multidisciplinary post-stroke rehabilitation care to stroke survivors becomes of paramount importance. The utilization of mobile applications (apps) for stroke care has been on the rise, offering a personalized and pragmatic solution with the potential for wider reach in settings constrained by limited resources. To address the unmet needs in the prevention and management of post-stroke complications, we conceptualized a strategy known as a mobile application-based post-stroke care strategy for both survivors and their caregivers. Materials and Methods: The scope of the app's focus was determined based on the incidence of post-stroke complications within a prospective cohort of stroke patients, in conjunction with existing literature. An initial "web-based mobile app" prototype was crafted to align with the identified focus area. Before the development of the final app version, a feasibility study was conducted involving 30 participant dyads (comprising a patient and a caregiver). Content validity was evaluated by a panel of 20 stroke experts encompassing neurologists, nurses, physiotherapists, and psychologists. Results: The "Stroke Home Care" (SHC) mobile app was conceived as a web-based educational tool aimed at preventing and managing post-stroke complications. It seeks to train caregivers of immobile stroke patients in the administration of preventive and therapeutic care procedures, thereby potentially enhancing survivors' quality of life and alleviating caregivers' burden. The feasibility and validity studies indicated "high satisfaction" levels among most caregivers and experts (>75%), with the remainder expressing "satisfaction" and no "dissatisfaction" regarding app utilities. Stroke experts unanimously deemed the app "appropriate", with consensus on contents, video quality, video length, and voice clarity. Caregivers reported "satisfactory" user experiences, encountering no issues during app installation or operation. Suggestions from both caregivers and experts were integrated into the final app version. Conclusion: The "SHC" app represents a feasible and well-received innovation tailored for the use by caregivers of stroke survivors. Consequently, the initial feasibility of the developed app serves as a precursor to a randomized controlled clinical trial aimed at substantiating its effectiveness within the post-stroke survivor and caregiver population. Notably, within resource-constrained contexts, this app has the potential to be a pivotal tool for post-stroke care. [ABSTRACT FROM AUTHOR]

Running is a convenient physical activity that has gained popularity. However, little is known about runners' running environments and how they differ from their residential environments. To fill this gap, this study examines runners' exposure to natural and built environments along their running routes and assesses the difference between running and residential environments. We collected running track data from Endmondo, a fitness data platform, and used it to determine runners' residency. Moreover, we used open geographical data to calculate a range of environmental variables within their residential areas and along their running trajectories. We applied t-tests to assess differences across objectively measured environmental variables between urban and rural runners, considering geographic, temporal and track-specific strata. We found that the running environments of urban and rural runners were diverse and had distinct characteristics. The results suggest policies to promote running acknowledging these differences between running environments in urban and rural areas. [ABSTRACT FROM AUTHOR]

Obsessive-compulsive disorder (OCD) is a disabling condition with a high delay in seeking treatment. esTOCma is an app developed to increase mental health literacy (MHL) about OCD, reduce stigma, and increase the intention to seek professional treatment. It is a serious game and participants are asked to fight against the "OCD stigma monster" by accomplishing 10 missions. The aim of this study is to evaluate the effectiveness of this app in a community sample. A randomized controlled trial with a crossover design was carried out. Participants were randomized to two groups: immediate use (iApp, n = 102) and delayed use (dApp, n = 106) of esTOCma. The iApp group started using the app at baseline until the game was over. The dApp group initiated at 10-days until the game finished. Participants were requested to complete a set of questionnaires at baseline and 10-day, 20-day and 3-month follow-ups. The Time×Group interaction effect was significant for the primary outcome measures: there was an increase in MHL and intention to seek help, and a decrease in stigma and OC symptoms, with large effect sizes, only after using the app. Changes were maintained (or increased) at follow-up. The study did not include an active control group and some of the scales showed low internal consistency or a ceiling effect. This study provides first evidence for the effectiveness of esTOCma as a promising intervention to fight stigma and reduce the treatment gap in OCD. ClinicalTrials.gov Identifier: NCT04777292. Registered February 23, 2021, https://clinicaltrials.gov/ct2/show/NCT04777292. • esTOCma app is effective to increase help-seeking in OCD. • esTOCma app decreases stigma towards people with OCD. • esTOCma app increases knowledge about OCD. • esTOCma decreases non-clinical OC symptoms. • Community use of esTOCma could reduce the delay in seeking treatment for OCD. [ABSTRACT FROM AUTHOR]

Purpose: Breast cancer is the most common cancer type worldwide, with its survivors often experiencing physical and psychosocial health problems. Wearable device use is an innovative and effective way to promote physical activity and improve health‐related outcomes in breast cancer survivors; however, the current evidence is unclear. We aimed to determine the effects of wearable devices on physical activity and health‐related outcomes in breast cancer survivors. Methods: PubMed, Embase, Web of Science, and Cochrane Library databases were searched to identify eligible studies from inception to September 2022. Additional relevant studies were obtained from the reference lists of the identified studies. Two reviewers independently screened the eligible studies, appraised the risk of bias, and extracted the data. Meta‐analysis was conducted using Review Manager version 5.3. Findings: Sixteen randomized controlled trials were included. Physical activity tracking and pedometer‐based interventions improved moderate‐intensity physical activity (standardized mean difference [SMD] = 0.32, 95% confidence interval [CI]: 0.17–0.46, p < 0.0001), moderate‐to‐vigorous physical activity (SMD = 0.85, 95%CI: 0.38–1.32, p = 0.0004), total physical activity (SMD = 0.51, 95%CI: 0.12–0.90, p = 0.01), quality of life (SMD = 0.17, 95%CI: 0.03–0.31, p = 0.01), physical function (SMD = 0.21, 95%CI: 0.04–0.38, p = 0.02), and mood state profiles (SMD = −0.58, 95%CI: −1.13 to 0.02, p = 0.04) in breast cancer survivors. However, the effects of low‐intensity physical activity, vigorous‐intensity physical activity, fatigue, anxiety, depression, and sleep quality could not be ascertained. Conclusions: Physical activity tracking and pedometer‐based interventions were effective in increasing physical activity and improving health‐related outcomes in breast cancer survivors. Implications for nursing practice: This review offers availability of credible evidence supporting the potential usefulness and effectiveness of wearable physical activity trackers on physical activity and health‐related outcomes in breast cancer survivors. [ABSTRACT FROM AUTHOR]

Fitness apps are persuasive tools developed to motivate physical activity. Despite their popularity, there is little work on how social-cognitive characteristics such as culture, household size, physical activity level, perceived self-efficacy and social support influence users' willingness to use them and preference (personal vs. social). Knowing these relationships can help developers tailor fitness apps to different socio-cultural groups. Hence, we conducted two studies to address the research gap. In the first study (n = 194) aimed at recruiting participants for the second study, we asked participants about their app preference (personal vs. social), physical activity level and key demographic variables. In the second study (n = 49), we asked participants about their social-cognitive beliefs about exercise and their willingness to use a fitness app (presented as a screenshot). The results of the first study showed that, in the collectivist group (Nigerians), people in large households were more likely to be active and use the social version of a fitness app than those in small households. However, in the individualist group (Canadians/Americans), neither the preference for the social or personal version of a fitness app nor the physical activity level depended on the household size. Moreover, in the second study, in the individualist model, perceived self-efficacy and perceived self-regulation have a significant total effect on willingness to use a fitness app. However, in the collectivist model, perceived social support and outcome expectation have a significant total effect on the target construct. Finally, we found that females in individualist cultures had higher overall social-cognitive beliefs about exercise than males in individualist cultures and females in collectivist cultures. The implications of the findings are discussed. [ABSTRACT FROM AUTHOR]

The popularity of mobile devices, combined with advances in electronic design and internet technology, has enabled home-based hearing tests in recent years. The purpose of this article is to highlight the distinctive aspects of pure-tone audiometry performed on a mobile device by means of the Hearing Test app for Android devices. The first version of this app was released a decade ago, and since then the app has been systematically improved, which required addressing many issues common to the majority of mobile apps for hearing testing. The article discusses techniques for mobile device calibration, outlines the testing procedure and how it differs from traditional pure-tone audiometry, explores the potential for bone conduction testing, and provides considerations for interpreting mobile audiometry including test duration and background noise. The article concludes by detailing clinically relevant aspects requiring special attention during testing and interpretation of results which are of substantial value to the hundreds of thousands of active users of the Hearing Test app worldwide, as well as to users of other hearing test apps. [ABSTRACT FROM AUTHOR]

Background: OA risk rises significantly with age and is incredibly uncommon in anyone under the age of 30. Female sex, obesity, past joint damage (such as an ankle fracture or knee ligament rupture), atypical joint anatomy, and having family members with OA all raise the risk of getting the condition. It has now become necessary to monitor the progress of the individual with the treatment given. Aim: To track the progression of the ailment using unique fitness and Fitmust devices. Objective: To find out the percentage of progress the participant did in each of the parameters, to find any corelation within the parameters. Results: Wearables and a handheld dynamometer were used to calculate and significant findings were seen over the course of four months in addition to physiotherapy activities. Conclusion: Wearables and artificial intelligence have made it simple for patients and therapists to monitor progress and recovery. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In recent years, the surge in sport and exercise participation, particularly in running, has coincided with the widespread adoption of running-related technology, such as fitness trackers. This study investigates the correlation between the use of running-related technology and running-related injuries among recreational and elite long-distance runners. We conducted a quantitative, cross-sectional online survey of 282 adult runners. Data were analyzed using descriptive statistics and a multivariable logistic regression analysis. Participants, with an average age of 37.4 years, reported varied running experience, with 90.07% utilizing running-related technology during their runs to some degree, primarily smartwatches like Garmin and Apple Watch. Running-related technology users showed a higher likelihood of experiencing running-related injuries compared to non-users (OR = 0.31, p < 0.001). However, those who utilized the metrics obtained from running-related technology to guide their training decisions did not exhibit a higher risk of injury. This nuanced relationship highlights the importance of considering individual training behaviors and the potential psychological impacts of technology on running practices. The study underscores the need for future research integrating biomechanical and psychosocial factors into running-related technology to enhance injury prevention strategies. [ABSTRACT FROM AUTHOR]

Introduction and Hypothesis: Despite growing interest in a mobile-app bowel diary to assess fecal incontinence (FI) symptoms, data are limited regarding the correlation between mobile-app diary and questionnaire-based outcomes. The primary aim is to determine whether percentage reduction in FI episodes (FIEs)/week recorded on a mobile-app diary correlates with changes in scores of validated FI-symptom measures from baseline to 12 weeks in women with FI undergoing percutaneous tibial nerve stimulation (PTNS) versus sham. Methods: This is a planned secondary analysis of a multicenter randomized trial in which women with FI underwent PTNS or sham. FIEs were collected using a mobile-app diary at baseline and after 12 weekly sessions. FI-symptom-validated measures included St. Mark's, Accidental Bowel Leakage Evaluation, FI Severity Index (FISI), Colorectal Anal Distress Inventory, Colorectal Anal Impact Questionnaire, FI Quality of Life, Patient Global Impression of Improvement (PGI-I), and Patient Global Symptom Control (PGSC) rating. Spearman's correlation coefficient (ρ) was computed between %-reduction in FIEs/week and change in questionnaire scores from baseline to 12 weeks. Significance was set at 0.005 to account for multiple comparisons. Results: Baseline characteristics of 163 women (109 PTNS, 54 sham) include mean age 63.4±11.6, 81% white, body mass index 29.4±6.6 kg/m2, 4% previous FI surgeries, 6.6±5.5 FIEs/week, and St. Mark's score 17.4±2.6. A significant correlation was demonstrated between %-reduction in FIEs/week and all questionnaires (p<0.005). A moderate-strength correlation (|ρ|>0.4) was observed for St. Mark's (ρ=0.48), FISI (ρ=0.46), PGI-I (ρ=0.51), and PGSC (ρ=−0.43). Conclusions: In women with FI randomized to PTNS versus sham, a moderate correlation was noted between FIEs measured via mobile-app diary and FI-symptom-validated questionnaire scores. [ABSTRACT FROM AUTHOR]

The purposes were to examine the criterion-related validity of the steps estimated by consumer-wearable activity trackers (wristworn activity trackers: Fitbit Ace 2, Garmin Vivofit Jr, and Xiomi Mi Band 5; smartphone applications: Pedometer, Pedometer Pacer Health, and Google Fit/Apple Health) and their comparability in primary schoolchildren under controlled conditions. An initial sample of 66 primary schoolchildren (final sample = 56; 46.4% females), aged 9-12 years old (mean = 10.4 ± 1.0 years), wore three wrist-worn activity trackers (Fitbit Ace 2, Garmin Vivofit Jr 2, and Xiaomi Mi Band 5) on their non-dominant wrist and had three applications in two smartphones (Pedometer, Pedometer Pacer Health, and Google Fit/Apple Health for Android/iOS installed in Samsung Galaxy S20+/iPhone 11 Pro Max) in simulated front trouser pockets. Primary schoolchildren's steps estimated by the consumer-wearable activity trackers and the video-based counting independently by two researchers (gold standard) were recorded while they performed a 200-meter course in slow, normal and brisk pace walking, and running conditions. Results showed that the criterion-related validity of the step scores estimated by the three Samsung applications and the Garmin Vivofit Jr 2 were good-excellent in the four walking/running conditions (e.g., MAPE = 0.6 - 2.3%; lower 95% CI of the ICC = 0.81 - 0.99), as well as being comparable. However, the Apple applications, Fitbit Ace 2, and Xiaomi Mi Band 5 showed poor criterion-related validity and comparability on some walking/running conditions (e.g., lower 95% CI of the ICC < 0.70). Although, as in real life primary schoolchildren also place their smartphones in other parts (e.g., schoolbags, hands or even somewhere away from the body), the criterion-related validity of the Garmin Vivofit Jr 2 potentially would be considerably higher than that of the Samsung applications. The findings of the present study highlight the potential of the Garmin Vivofit Jr 2 for monitoring primary schoolchildren's steps under controlled conditions. [ABSTRACT FROM AUTHOR]

This paper examines how older adults interact with fitness trackers and how that interaction influences their physical activity. We carried out qualitative interviews with 22 individuals between the ages of 55 and 72 who had used fitness trackers as part of a six-week field experiment investigating the effects of feedback from fitness trackers and the social influence of their spouses. From their comments, we derived an explorative process model explaining the mechanisms and the four stages of effects arising from personalised feedback, namely, cognitive, affective, conative, and intuitive. These effects were grouped into internal and external dimensions. Three types of goal-related decisions determined whether interviewees moved from the internal responses of cognition and emotion to the external response of behaviour change. The findings from this study elucidate how real-time personalised feedback can motivate physical activity among older adults and highlight the goal-related factors that influence this effect. [ABSTRACT FROM AUTHOR]

Regardless of its advantage, generally, statistics show low levels of mobile application retention for a long time by users. Thus, the current study tries to provide a deeper understanding of the health and fitness app users' engagement and stickiness based on the stimulus-organism-response (S-O-R) model, as well as testing the moderating role of the health consciousness in the effect of users' satisfaction and app-love on stickiness, WOM, and continuance intention. Data was collected from 394 respondents recruited using Google Forms using the self-selection sample technique. Partial least squares structural equation modelling (PLS-SEM) was used to analyze the data. According to the findings, ISS model components (information quality, system quality, and service quality) significantly influence user engagement with health and fitness applications. Furthermore, user engagement has a significant and positive influence on user satisfaction and app-love. Furthermore, app satisfaction and app-love positively impact stickiness intention, word-of-mouth, and continuance intention. Moreover, the influence of user satisfaction on WOM and continuance intention is moderated by health consciousness. Additionally, the influence of app-love on stickiness intention, WOM, and continuance intention is moderated by health consciousness. This is the first study to integrate the ISS model and the stimulus-organism-response (S-O-R) model, as well as the health consciousness construct as a moderator, to propose a holistic framework of user engagement, satisfaction, app-love, stickiness intention, WOM, and continuance intention with health and fitness apps in the emergent markets. [ABSTRACT FROM AUTHOR]

Copyright of Cultura, Ciencia y Deporte is the property of Cultura, Ciencia y Deporte and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Land use types other than specialized athletic fields provide a variety of jogging environments, addressing the shortage of urban fitness facilities and promoting urban health as well as sustainability. Currently, there is limited research comparing the differences in jogging support among various land use types, which can assist decision-makers in setting priorities and targeted strategies for urban renewal, especially in urban built-up areas with limited land resources. Initially, spatial information, statistical data, and recommendation reason text were extracted from recommended routes in mobile fitness apps and categorized into six land use types. Subsequently, spatial potential was measured through descriptive statistics, buffer area analysis, spatial autocorrelation analysis, and line density analysis. Environmental preferences were gauged by text analysis using jieba word segmentation and grouped word frequency calculation. Finally, the measurement results of different land uses were compared, including scale differences, spatial differentiation, environmental perception, and environmental elements. The research found that streets, residential areas, campuses, parks, and greenways possess significant potential to support jogging, particularly streets. These types of land use exhibit varying spatial potentials and attractions in environmental preferences. Targeted recommendations have been proposed to support the renewal of urban built-up areas and research in related fields. [ABSTRACT FROM AUTHOR]

Mobility experiences are becoming intrinsically linked with digital and data experiences. Being mobile increasingly involves the production, storage, processing and sharing of data (consciously or not), from car sensor data for diagnostics and insurance apps for driving, to ticketing apps for public transport, urban micromobility share schemes, Google maps, fitness and wellbeing apps, Internet of Things sensors, AI in migration "management", or air pollution data. The 'datafication' of mobility raises new questions with regards to justice. What kinds of inequalities emerge at the intersection of mobilities and datafication? Whose mobility gets included and excluded through data collection and sharing, why and how? How are mobilities enabled and restricted through data? How are access and ownership to mobility and data changing? What about the mobility of data in relation to justice? This article links scholarship on mobility justice and data justice to develop a mobility data justice framework. It closes with a discussion of critical issues for mobility data justice and develops an agenda for future research in this area. The lens of social justice helps to understand the multiple ways power and (in) equalities are transformed or amplified at the intersection of mobility and data. [ABSTRACT FROM AUTHOR]

Medication adherence is essential for managing chronic diseases and achieving optimal health outcomes. However, this process is often challenging, particularly for patients with complex care needs. Informal caregivers play a pivotal role in supporting medication management, but they may face resource limitations and a lack of necessary support. Digital health tools offer a promising avenue to enhance medication adherence by providing reminders, education, and remote monitoring capabilities. This scoping review aimed to identify and evaluate digital solutions available to informal caregivers for improving medication adherence. A systematic search of PubMed and Web of Science was conducted using relevant keywords. Four studies were included in the review, examining a variety of digital tools including mobile apps, SMS messaging, and wearable devices. These tools demonstrated efficacy in improving medication adherence, managing disease symptoms, and enhancing quality of life for patients and caregivers. Digital health interventions hold the potential to revolutionize medication adherence among chronic disease patients. By empowering informal caregivers, these tools can bridge the gaps in medication management and contribute to better health outcomes. Further research is warranted to optimize the design, implementation, and evaluation of digital interventions for medication adherence. [ABSTRACT FROM AUTHOR]

Background: Advanced sensor technology, such as commercial wearable activity trackers, is expected to be useful for improving public health in an aging society. However, its effects on psychological and behavioral changes in older adults have not been thoroughly investigated. Objective: This study aimed to clarify the effects of wearable activity trackers on psychological and behavioral changes in older adults before the pandemic and to confirm whether the effects were maintained during the pandemic. Method: Thirty Japanese older adults wearing Fitbit trackers for 12 weeks (i.e., six weeks before the pandemic and six weeks during the onset of the pandemic) in a real-life setting participated in this study. Participants' perceptions of physical activity (PA) and monitoring were measured weekly using a questionnaire in addition to the pre-monitoring survey (baseline). Results: Significant positive effects of activity trackers were observed on participants' awareness of the benefits of PA and motivation toward monitoring from the first week, and high levels were maintained until the end of the study, regardless of the pandemic. Accordingly, an approximately 3,000-steps/day increase was observed in the first week and maintained before the pandemic; although PA levels decreased during the onset of the pandemic, they remained higher than at baseline. The decrease in the number of steps and activity calories in COVID-19-non-affected participants was 2%. In the affected participants, an 11% decrease in steps and an 8% decrease in activity calories were observed, indicating that 3% was compensated by other activities. Conclusion: Positive effects of activity trackers were observed on older adults' awareness of PA benefits. Thus, future studies are required to verify the effects of increased PA benefits awareness on older adults' long-term activity levels for their health. [ABSTRACT FROM AUTHOR]

To better understand how different psychosocial components motivate the use of mobile fitness apps, this study integrates two major theories in behavior prediction, theory of planned behavior (TPB) and theory of normative social behavior (TNSB). An online survey was conducted with a random sample of undergraduate students (N = 558) registered at a large public university in Singapore. Results show that participants' outcome expectations, descriptive norms, and perceived behavioral control predicted their intention to use mobile fitness apps, but not injunctive norms. Perceived behavioral control exerted stronger influence on use intention among current users than non-users. In the TPB-TNSB integrated model, group identification significantly moderated the relationship between descriptive norms and use intention, regardless of the user status. This study provides an improved understanding of how components of social influence affect the adoption of mobile fitness app by taking a novel approach to integrate two distinctive theories in behavior prediction. [ABSTRACT FROM AUTHOR]

To study weekly use of smartwatches, fitness watches and physical activity apps among adults with and without impaired speech-in-noise (SIN) recognition, to identify subgroups of users. Cross-sectional study. Adults (aged 28–80 years) with impaired (n = 384) and normal SIN recognition (n = 341) as measured with a web-based digits-in-noise test, from the Netherlands Longitudinal Study on Hearing. Multiple logistic regression analyses were used to study differences and to build an association model. Employed adults in both groups are more likely to use each type of fitness technology (all ORs >3.4, all p-values < 0.004). Specific to fitness watch use, adults living with others use it more (OR 2.5, 95%CI 1.1;5.8, p = 0.033) whereas those abstaining from alcohol (OR 0.3, 95%CI 0.1;0.6) or consuming >2 glasses/week (OR 0.4, 95%CI 0.2;0.81, overall p = 0.006) and hearing aid users (OR 0.5, 95%CI 0.2;0.9, p = 0.024) make less use. Subgroups of adults more and less likely to use fitness technology exist, but do not differ between adults with and without impaired SIN recognition. More research is needed to confirm these results and to develop interventions to increase physical activity levels among adults with hearing loss. [ABSTRACT FROM AUTHOR]

Examine how changes in sleep duration, objectively measured by activity trackers, impact weight gain in incoming college freshman. Participants: Incoming college freshmen, age ≥ 18. Methods: We measured weight and daily sleep duration before college entry and through the 1st college quarter. Additionally, we examined changes in sleep variability, activity levels and smartphone screen time use as possible predictors of weight gain. Results: 75 participants completed the study. Total sleep duration decreased from 437.9 ± SD 57.3 minutes at baseline to 416.5 ± SD 68.6 minutes by the end of the first quarter (p = 6.6 × 10−3). (BMI) did not change significantly in this cohort. Higher sleep variability at baseline and an increase in sleep variability were associated with increases in BMI. Smartphone screen use was note to be high (235.2 ± SD 110.3 minutes/day) at the end of the first quarter. Conclusions: College weight gain may be affected by factors other than sleep duration, including sleep variability. Supplemental data for this article can be accessed online at https://doi.org/10.1080/07448481.2022.2032720 [ABSTRACT FROM AUTHOR]

The article focuses on the role of psychiatrists in actively participating in media, especially newspapers, magazines, and electronic and social media, to convey accurate and scientifically valid mental health information to the public. It emphasizes the need for psychiatrists to counter biases, myths, and misconceptions prevalent in the media and highlights the importance of effective science communication to combat stigma and misunderstandings about mental illness.

The study aims to investigate the prevalence of individuals with disabilities who reported using wearable devices, to examine the association between wearable device usage and disability status, and to determine the characteristic of individuals with disabilities associated with wearable device usage using the 2017 Behavioural Risk Factor Surveillance System (BRFSS) through secondary data analysis. Data from the 2017 BRFSS of eight states were used in the analysis. Descriptive analysis, chi-square analysis, and multivariable logistic regressions were performed. Subsample analyses were also conducted for individuals with disabilities and different types of disability, including visual impairments, hearing impairments, cognitive disability, independent living disability, self-care disability, and mobility disability on wearable device usage. 14.6% (95% CI [11.7, 17.5]) of participants with disabilities were wearable device users. Individuals with disabilities were.63 (95% CI [.48,.83], p < 0.001) and.67 (95% CI [.50,.90], p = 0.007) times the odds of individuals without disabilities in using wearable devices, respectively, according to unadjusted and adjusted logistic regression. Individuals with mobility disability were less likely to utilise wearable devices than their counterparts. Among individuals with disabilities, those who were age 65 years or older had a lower odds of using wearable devices (OR =.55, 95% CI [0.35, 0.85), p = 0.007). Individuals with disabilities are using wearable devices in collecting various health-related information. Further research is needed to determine reasons why individuals with disabilities are not using wearable devices and how individuals with disabilities are using wearable devices. Wearable devices can track various health-related information such as physical activity levels, sleep patterns, calories intakes, and chronic health conditions. Using nationally represent data, individuals with disabilities have access and utilise wearable devices in free living setting. Compare to individuals without disabilities, individuals with disabilities are less likely to utilise wearable devices in free living setting. Further research is needed to determine the accessibility of wearable devices for individuals with disabilities and its usage in rehabilitation setting. [ABSTRACT FROM AUTHOR]