Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses

The effectiveness of digital physical activity interventions in older adults: a systematic umbrella review and meta-meta-analysis

BACKGROUND

Physical activity is important for healthy ageing, however most older adults are inactive. Numerous reviews with a range of inclusion criteria have been conducted on digital interventions to promote physical activity in older adults, and a synthesis of these is needed. Therefore, the objective of this study is to conduct an umbrella review and meta-meta-analysis on the effectiveness of digital interventions to promote physical activity in older adults.

METHODS

Nine databases were searched from January 2010 to December 2023. Systematic reviews and meta-analyses of primary studies using digital physical activity interventions to target healthy older adults or clinical populations of older adults with a self-reported or device measured physical activity outcome were eligible for inclusion.

RESULTS

In total, 22 systematic reviews and meta-analyses covering 185 primary research papers were eligible for inclusion. The total number of participants across all primary studies was 28,198. Most (21, 95%) reviews and meta-analyses were rated as having a low or critically low AMSTAR-2 confidence rating. Of the 22 included systematic reviews, 13 (59%) conducted a meta-analysis and 10 (45%) conducted a narrative synthesis. Most systematic reviews with a narrative synthesis found strong evidence for a positive effect or moderate evidence for a positive effect for physical activity outcomes (7/9, 78%) and steps (3/3, 100%). The meta-meta-analysis of primary papers included in meta-analyses demonstrated a significant moderate effect for steps and a significant small effect for total PA and MVPA. The strength of effect did not vary by intervention components (activity tracker, app-based, SMS/phone, web-based, and face-to-face), population (primary or secondary prevention), control group (none, other digital intervention, or non-digital intervention), or outcome measurement (self-reported or device measured). Only 3 (14%) reviews included longer term follow up outcomes after the end of the intervention, with mixed results.

CONCLUSIONS

Evidence from 22 reviews and meta-analyses suggests that digital physical activity interventions are effective at increasing physical activity in older adults. Further primary research is needed in adults 65 years and over exclusively, and with longer-term follow up of physical activity outcomes. Future reviews should include a published protocol and interpret results according to risk-of-bias.

Functions of Smartphone Apps and Wearable Devices Promoting Physical Activity: Six-Month Longitudinal Study on Japanese-Speaking Adults

BACKGROUND

Smartphone apps and wearable activity trackers are increasingly recognized for their potential to promote physical activity (PA). While studies suggest that the use of commercial mobile health tools is associated with higher PA levels, most existing evidence is cross-sectional, leaving a gap in longitudinal data.

OBJECTIVE

This study aims to identify app-use patterns that are prospectively associated with increases in and maintenance of PA. The primary objective was to test whether continued app use is linked to adherence to the recommended PA levels (ie, 23 metabolic equivalent task [MET] hours per week for adults or 10 MET hours/week for individuals aged >65 years) during a follow-up assessment. The secondary objective was to explore which functions and features of PA apps predict changes in PA levels.

METHODS

A 2-wave longitudinal survey was conducted, with baseline and follow-up assessments separated by 6 months. A total of 20,573 Japanese-speaking online respondents participated in the baseline survey, and 16,286 (8289 women; mean age 54.7 years, SD 16.8 years) completed the follow-up. At both time points, participants reported their current PA levels and whether they were using any PA apps or wearables. Each participant was classified into 1 of the following 4 categories: continued users (those using apps at both the baseline and follow-up; n=2150, 13.20%), new users (those who started using apps before the follow-up; n=1462, 8.98%), discontinued users (those who had used apps at baseline but not at follow-up; n=1899, 11.66%), and continued nonusers (those who had never used apps; n=10,775, 66.16%).

RESULTS

The majority of continued users (1538/2150, 71.53%) either improved or maintained their PA at the recommended levels over 6 months. By contrast, discontinued users experienced the largest reduction in PA (-7.95 MET hours/week on average), with more than half failing to meet the recommended levels at the follow-up (n=968, 50.97%). Analyses of individual app functions revealed that both energy analysis (eg, app calculation of daily energy expenditure) and journaling (eg, users manually entering notes and maintaining an exercise diary) were significantly associated with increases in PA. Specifically, energy analysis was associated with an odds ratio (OR) of 1.67 (95% CI 1.05-2.64, P=.03), and journaling had an OR of 1.76 (95% CI 1.12-2.76, P=.01). By contrast, individuals who maintained the recommended PA levels at the follow-up were more likely to use the goal setting (OR 1.73, 95% CI 1.21-2.48, P=.003), sleep information (OR 1.66, 95% CI 1.03-2.68, P=.04), and blood pressure recording (OR 2.05, 95% CI 1.10-3.83, P=.02) functions.

CONCLUSIONS

The results highlight the importance of continued app use in both increasing and maintaining PA levels. Different app functions may contribute to these outcomes, with features such as goal setting and journaling playing a key role in increasing PA, while functions related to overall health, such as sleep tracking and blood pressure monitoring, are more associated with maintaining high PA levels.

Enhancing chronic disease management through physical activity and pedometry-based health monitoring

Physical activity (PA) is a vital component in the management of chronic diseases, including cardiovascular, metabolic, and musculoskeletal conditions. In rheumatic diseases (RDs) such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and osteoarthritis (OA), PA has been shown to alleviate symptoms, enhance functional capacity, and improve quality of life. Given these advantages, wearable trackers and smartphone apps have revolutionized PA monitoring, offering quantitative reports of step counts, sedentary behavior, intensity, and energy expenditure. Pedometry-based health monitoring aids in evaluating patients' adherence to exercise regimens, tracking disease progression, and customizing interventions to meet individual needs. Patients with RDs often encounter barriers to maintaining regular PA, including joint pain, fatigue, and comorbidities, which complicate adherence and elevate the risk of adverse events. This overview delves into the dual role of PA in fostering health and managing disease in RD patients. Despite enormous benefits, it is essential to recognize limitations and risks of PA, particularly for individuals with high disease burden and multiple comorbidities. The findings emphasize the importance of integrating tailored PA programs within a multidisciplinary care framework to optimize patient outcomes.

Interventions and behaviour change techniques for improving physical activity level in working-age people (18-60 years) with type 2 diabetes: A systematic review and network meta-analysis

BACKGROUND

The escalating prevalence of type 2 diabetes within the working-age population (18-60 years) imposes a substantial societal burden. Whilst physical activity is crucial for diabetes management, limited evidence exists to inform optimal strategies for promoting physical activity in this population. We aimed to evaluate and compare the effect of interventions for increasing physical activity in working-age adults with type 2 diabetes.

METHODS

We searched Web of Science, the Cochrane Library, Medline, Embase, PsycINFO, ClinicalTrials.gov, and ICTRP from inception to April 30, 2023. Randomised controlled trials that reported the effect of interventions (education, training or behavioural) to promote physical activity (either self-reported or objective) in people aged 18-60 years were included. Two independent reviewers conducted summary data extraction and quality assessment. Pairwise random-effects, Frequentist network meta-analyses, and subgroup analysis were used to obtain pooled effects.

RESULTS

A total of 52 trials were included in this systematic review. Compared to control group, the physical activity interventions demonstrated statistically significant effects on objectively measured physical activity (SMD 0.77, 95 % CI 0.27-1.27), self-reported physical activity (SMD 0.88, 95 % CI 0.40-1.35), and overall physical activity (SMD 0.82, 95 % CI 0.48-1.16); a statistically and clinically meaningful reduction on glycated haemoglobin A1c (HbA1c) was also identified (MD -0.50 %, 95 % CI -0.66, -0.35). In terms of intervention types, education interventions exerted the largest effect on objectively measured physical activity; however, psychological interventions had the largest effects on overall physical activity compared to other intervention types. Four behaviour change techniques were related to statistically significant reduction in HbA1c: goal setting (outcome), information about health consequences, demonstration of the behaviour, and prompts/cues. Subgroup analysis showed that delivery mode, intervention setting, and facilitator were associated with statistically significant effect on physical activity and HbA1c.

CONCLUSIONS

Psychologically modelled education incorporating behaviour change techniques may be the most beneficial way to promote physical activity and glycaemic control in working-age adults with type 2 diabetes. Delivery mode, intervention setting, and facilitator type should be considered when designing interventions for improving physical activity level in working-age people with type 2 diabetes.

The physical activity in cancer survivors (PACES) trial: a factorial randomized trial to optimize intervention for breast cancer survivors

Multiple intervention strategies have been found effective for increasing physical activity among breast cancer survivors, yet most breast cancer survivors fail to meet physical activity recommendations. Optimization of interventions can facilitate real word implementation to ensure effective and efficient intervention delivery. Using a full-factorial design based on the Multiphase Optimization Strategy, 337 breast cancer survivors were randomized to receive a combination of four intervention components: (1) supervised exercise sessions, (2) facility membership, (3) Active Living Every Day (ALED), and (4) Fitbit. Moderate-to vigorous (MVPA) and light-intensity physical activity (LPA) were measured at baseline, 3 months, and 6 months with a hip-worn Actigraph GT3X+. Normal linear mixed models with separate intercepts for each subject were fit in the SAS 9.4 Mixed procedure. Participants who received supervised exercise sessions engaged in more MVPA, 153.58 min/week vs. 133.0 min/week (F = 3.97, p = 0.048) and LPA, 170.26 min/day versus 160.98 light PA minutes/day (F = 4.67, p = 0.032), compared to participants who did not receive supervised exercise. The effects of the three other intervention components on MVPA were not significant; however, those that received ALED engaged in less LPA (F = 6.6, p = 0.011). Supervised exercise sessions resulted in significant increases in MVPA and LPA in a sample of breast cancer survivors. Of note, these sessions were provided only during the first 6 weeks of the intervention and effects remained significant at 6 months. Results of this trial could inform future implementation efforts to ensure effective and efficient delivery of physical activity programs for breast cancer survivors.

Digital Behavior Change Interventions to Reduce Sedentary Behavior and Promote Physical Activity in Adults with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

BACKGROUND

Technological advancements and ease of Internet access have increased the number of digital behavior change interventions (DBCIs). This systematic review and meta-analysis aimed to assess the effectiveness of DBCIs in reducing sedentary behavior (SB) and promoting physical activity (PA) in adults with diabetes.

METHODS

A comprehensive search of seven databases-PubMed, Embase, PsycINFO, Cochrane Library, CINAHL, Web of Science, and Sedentary Behavior Research Database-was performed. Two reviewers independently carried out the study selection, data extraction, risk of bias assessment, and quality of evidence evaluation. Meta-analyses were performed where feasible; otherwise, narrative summaries were performed.

RESULTS

A total of 13 randomized controlled trials with 980 participants met the inclusion criteria. Overall, DBCIs could significantly increase steps and the number of breaks in sedentary time. The subgroup analyses exhibited significant effects in DBCIs with over 10 behavior change techniques (BCTs) in improving steps, the time spent in light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). The subgroup analyses showed a significant step increment in DBCIs of moderate and long durations, with over 4 BCT clusters, or in conjunction with a face-to-face component. The subgroup analyses also indicated significant effects in studies with ≥ 2 DBCI components in improving steps, the time spent in LPA and MVPA, and reducing sedentary time.

CONCLUSION

There is some evidence that DBCI may increase PA and reduce SB in adults with type 2 diabetes. However, more high-quality studies are required. Future studies are needed to examine the potential of DBCIs in adults with type 1 diabetes.

Perspectives of Digital Health Innovations in Low- and Middle-Income Health Care Systems From South and Southeast Asia

Digital health innovations have emerged globally as a transformative force for addressing health system challenges, particularly in resource-constrained settings. The COVID-19 pandemic underscored the critical importance of these innovations for enhancing public health. In South and Southeast Asia, a region known for its cultural diversity and complex health care landscape, digital health innovations present a dynamic interplay of challenges and opportunities. We advocate for ongoing research built into system development and an evidence-based strategy focusing on designing and scaling national digital health infrastructures combined with a vibrant ecosystem or "marketplace" of local experiments generating shared experience about what works in which settings. As the global digital health revolution unfolds, the perspectives drawn from South and Southeast Asia-including the importance of local partnerships-may provide valuable insights for shaping future strategies and informing similar initiatives in low- and middle-income countries, contributing to effective digital health strategies across diverse global health contexts.

Effects of using wearable devices on reducing sedentary time and prolonged sitting in healthy adults: a network meta-analysis

OBJECTIVES

This study aimed to compare the effectiveness of different wearable intervention strategies in reducing sedentary time (ST) and prolonged sitting (PS) on healthy adults.

DESIGN

A network meta-analysis (NMA).

DATA SOURCES

PubMed, Web of Science, SPORTDiscus, ProQuest, Opengrey, Medline and Cochrane Central Register of Controlled Trials were searched up to 1 June 2024.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Randomised controlled trials (RCTs) that examined the effect of wearable device interventions on ST and PS among healthy adults were included.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers used standardised methods to search, screen and code included studies. Bias risks were assessed using Cochrane tools (Risk of Bias 2.0). Data were analysed using a frequentist framework NMA to directly and indirectly compare the effects of the five different intervention strategies (comparators). The results were reported as standardised mean differences (SMDs) with 95% CI and surface under cumulative ranking curve (SUCRA) was used to rank the best interventions. The five comparators were as follows: (1) wearable-only intervention (only using wearable devices for self-monitoring); (2) wearable combined with online intervention (ie, online coaching and social media support); (3) wearable combined with offline intervention (ie, face-to-face seminars and courses); (4) comparison group (ie, traditional, non-wearable interventions); (5) control group (ie, maintaining daily routine, waitlist).

RESULTS

12 RCTs with a total of 2957 participants were included. Results of NMA showed that the 'wearable+online' has significantly better effects in reducing ST compared with control group, comparison group and 'wearable only', with moderate to large effect sizes (SMD=0.96, 95% CI 0.65 to 1.27; SMD=0.87, 95% CI 0.21 to 1.53; SMD=0.78, 95% CI 0.14 to 1.42, respectively). However, no significant differences were identified between the groups in reducing PS. The SUCRA values were ranked as wearable+online (98.1%), wearable+offline (64.4%,), 'wearable only' (40.5%), comparison group (25.9%) and control group (21.1%) for ST reduction. Similar rankings were observed for PS reduction, with probabilities of 69.9%, 61.1%, 59.7%, 37.1% and 22.1%, respectively.

CONCLUSIONS

Wearable+online is the best intervention strategy for reducing ST in healthy adults. Additionally, none of the wearable-based interventions effectively reduced PS in healthy adults, but as there is little research on PS, it should receive more attention in the future. PROSPERO registration number: CRD42021290017.

Effectiveness of a digital health and financial incentive intervention to promote physical activity in patients with type 2 diabetes: study protocol for a randomised controlled trial with a nested qualitative study-ACTIVATE trial

BACKGROUND

The prevention of type 2 diabetes (T2DM) is recognised as a health care priority in the UK. In people living with T2DM, lifestyle changes (e.g. increasing physical activity) have been shown to slow disease progression and protect from the development of associated comorbidities. The use of digital health technologies provides a strategy to increase physical activity in patients with chronic disease. Furthermore, behaviour economics suggests that financial incentives may be a useful strategy for increasing the maintenance and effectiveness of behaviour change intervention, including physical activity intervention using digital health technologies. The Milton Keynes Activity Rewards Programme (MKARP) is a 24-month intervention which combines the use of a mobile health app, smartwatch (Fitbit or Apple watch) and financial incentives to encourage people living with T2DM to increase physical activity to improve health. Therefore, this randomised controlled trial aims to examine the long-term acceptability, health effects and cost-effectiveness of the MKARP on HbA1c in patients living with T2DM versus a waitlist usual care comparator.

METHODS

A two-arm, single-centre, randomised controlled trial aiming to recruit 1018 participants with follow-up at 12 and 24 months. The primary outcome is the change in HbA1c at 12 months. Secondary outcomes included changes in markers of metabolic, cardiovascular, anthropometric, and psychological health along with cost-effectiveness. Recruitment will be via annual diabetes review in general practices, retinal screening services and social media. Participants aged 18 or over, with a diagnosis of type 2 diabetes and a valid HbA1c measurement in the last 2 months are invited to take part in the trial. Participants will be individually randomised (1:1 ratio) to receive either the Milton Keynes Activity Rewards Programme or usual care. The intervention will last for 24 months with assessment for outcomes at baseline, 12 and 24 months.

DISCUSSION

This study will provide new evidence of the long-term effectiveness of an activity rewards scheme focused on increasing physical activity conducted within routine care in patients living with type 2 diabetes in Milton Keynes, UK. It will also investigate the cost-effectiveness of the intervention.

TRIAL REGISTRATION

ISRCTN 14925701. Registered on 30 October 2023.

StepFit-18K: Improving Irritable Bowel Syndrome (IBS) Symptoms with a Simple, Structured Walking Intervention

Background: Irritable Bowel Syndrome (IBS) is a chronic functional gastrointestinal (GI) disorder characterized by abdominal pain, altered bowel habits, and bloating, affecting approximately 10.1% of the global population. While current treatments emphasize dietary modifications and symptom management, emerging evidence suggests that physical activity (PA) may help alleviate IBS symptoms. This study evaluated the effects of a structured walking program, "StepFit-18K", on IBS symptom relief. Methods: A total of 106 participants (68 females and 38 males) completed the 12-week intervention, which consisted of 18,000 additional steps per week (6000 extra steps on three days per week) tracked via fitness devices. The program emphasized step count, ease of adoption, and social support through walking groups. Results: As assessed by validated questionnaires, significant reductions in GI symptoms were observed. The IBS Symptom Severity Score (IBS-SSS) decreased from 118.30 ± 98.73 to 74.46 ± 74.93, with a delta score of -43.84%, highlighting bloating as the most improved symptom. No clinically significant changes were observed in anthropometric or biochemical markers. Conclusions: StepFit-18K is a simple, accessible, and effective form of physical activity that has demonstrated therapeutic benefits for IBS symptoms. This offers an additional application beyond its well-established role in preventing cardiovascular diseases.

The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research

We propose a categorization of smartwatch use in the health care sector into 3 key functional domains: monitoring, nudging, and predicting. Monitoring involves using smartwatches within medical treatments to track health data, nudging pertains to individual use for health purposes outside a particular medical setting, and predicting involves using aggregated user data to train machine learning algorithms to predict health outcomes. Each domain offers unique contributions to health care, yet there is a lack of nuanced discussion in existing research. This paper not only provides an overview of recent technological advancements in consumer smartwatches but also explores the 3 domains in detail, culminating in a comprehensive summary that anticipates the future value and impact of smartwatches in health care. By dissecting the interconnected challenges and potentials, this paper aims to enhance the understanding and effective deployment of smartwatches in value-based health care.

Multilevel modeling of technology use, student engagement, and fitness outcomes in physical education classes

Introduction

The integration of technology in educational settings, particularly in physical education, has shown potential in enhancing learning experiences and improving physical health outcomes. This study aims to investigate the effects of technology use on student engagement and fitness outcomes, considering the mediating role of student engagement and the moderating influence of personal attributes.

Methods

Utilizing a time-lagged design, the research collected data from 513 Chinese undergraduate students (52% male and, 48% female) aged between 18 and 24 years over three waves using structured questionnaires rated on a 5-point Likert scale.

Results

Results revealed a significant positive relationship between technology use and both student engagement (β = 0.68, p < 0.01) and fitness outcomes (β = 0.60, p < 0.01). Student engagement significantly mediated the relationship between technology use and fitness outcomes (β = 0.57, p < 0.01). Personal attributes moderated the effects of technology use on student engagement (β = 0.54, p < 0.01) and fitness outcomes (β = 0.52, p < 0.01), indicating varied benefits among students based on individual characteristics.

Discussion

These findings highlight the importance of tailoring technological applications in physical education to individual needs, suggesting that personalized approaches can significantly enhance the effectiveness of technology in improving fitness and engagement.

Development of a behaviour change intervention for improving physical activity amongst stroke survivors with physical disabilities: a co-design approach

BACKGROUND

Stroke survivors face many barriers to physical activity (PA). Solving physical inactivity after stroke requires a "systems-based" approach. We aimed to develop a complex intervention targeted at improving PA after stroke in Singapore using behaviour change theory and a co-design approach involving multiple stakeholders.

METHODS

We carried out the intervention development in three phases: i. preparation phase, ii. co-design phase, and iii. intervention refinement phase. During the preparation phase, we conducted surveys (n = 38 stroke survivors, 71 physiotherapists and 35 exercise professionals) and interviews (n = 19 stroke survivors) to understand the factors influencing PA after stroke. The co-design phase consisted of two-co-design workshops held in August 2022 and were attended by 13 stroke survivors and 4 caregivers. Relevant domains of the Theoretical Domains Framework (TDF) and items in the Template for Intervention Description and Replication (TIDieR) checklist guided the discussion topics in the first co-design workshop. Solution prototypes such as exercise videos, arm and leg straps and information resources were shown in the second co-design workshop to gather feedback. In the intervention refinement phase, eight healthcare professionals from various sectors participated in two virtual Zoom meetings in August 2023, and used the Acceptability, Practicability, Effectiveness, Affordability, Spillover effects and Equity (APEASE) grid to rate the active ingredients in the complex intervention by considering the current healthcare landscape in terms of resources and manpower.

RESULTS

Stroke survivors and caregivers want a personalised PA program, stroke-specific PA opportunities and information resources, medical clearance, advice and help from healthcare professionals skilled in stroke care, face-to-face sessions at preferred exercise spaces, and access to adaptive equipment. A complex intervention consisting of 21 behaviour change techniques, 6 intervention functions and 8 options was developed.

CONCLUSIONS

Using behaviour change theory and a co-design approach involving multiple stakeholders, a complex intervention was developed to target physical inactivity after stroke. The intervention titled MOTIVATE is currently being tested in a type 1 hybrid effectiveness-implementation trial.

Associations of Wearable Activity Tracker Use With Physical Activity and Health Outcomes in Patients With Cancer: Findings from a Population-Based Survey Study

BACKGROUND

Physical inactivity is a global issue for cancer survivors. Wearable activity trackers are promising to address physical inactivity by providing real-time feedback on physical activity and offering opportunities for self-monitoring and goal setting. Meta-analysis has reported the effects of interventions that incorporate wearable activity trackers on improved physical inactivity and related health outcomes (eg, BMI, anxiety and depression, and self-rated health status). However, wearable activity trackers were often used as an adjunct to physical activity interventions, and the effectiveness of wearable activity trackers alone is unknown.

OBJECTIVE

This study aims to determine the association of wearable activity trackers with physical activity and health outcomes in patients with cancer.

METHODS

Data from 957 cancer survivors from the Health Information National Trends Survey-Surveillance, Epidemiology, and End Results (HINTS-SEER) were analyzed. The outcome variables examined were time spent in moderate to vigorous physical activity, weekly frequency of strength training, BMI, anxiety and depression levels, and self-assessed health status. The primary independent variable was whether cancer survivors had used wearable activity trackers within the past 12 months. Design-based linear regression for continuous outcome variables and ordinal logistic regression for ordinal outcome variables were conducted to determine the associations after controlling for sociodemographic, cancer-related, and health-related factors. All data analyses accounted for the complex survey design and sample weights.

RESULTS

Only 29% of cancer survivors reported wearable activity tracker use. Bivariate analyses showed that younger age (P<.001), higher education (P=.04), higher income (P<.001), and an employed status (P<.001) were significantly associated with wearable activity tracker use. Wearable activity tracker use was significantly associated with higher time spent in moderate to vigorous physical activity (adjusted =37.94, 95% CI 8.38-67.5; P=.01), more frequent strength training per week (adjusted odds ratio [OR] 1.50, 95% CI 1.09-2.06; P=.01), and better self-rated health status (adjusted OR 1.58, 95% CI 1.09-2.29; P=.01), but not with BMI or anxiety and depression.

CONCLUSIONS

This study suggests that the uptake of wearable activity trackers is low and highlights the digital divide among patients with cancer. This study has confirmed the associations of wearable activity tracker use with physical activity and self-rated health, supporting using wearable activity trackers as a promising tool to facilitate physical activity promotion.

Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India)

The COVID-19 pandemic has challenged the current paradigm of clinical and community-based disease detection. We present a multimodal wearable sensor system paired with a two-minute, movement-based activity sequence that successfully captures a snapshot of physiological data (including cardiac, respiratory, temperature, and percent oxygen saturation). We conducted a large, multi-site trial of this technology across India from June 2021 to April 2022 amidst the COVID-19 pandemic (Clinical trial registry name: International Validation of Wearable Sensor to Monitor COVID-19 Like Signs and Symptoms; NCT05334680; initial release: 04/15/2022). An Extreme Gradient Boosting algorithm was trained to discriminate between COVID-19 infected individuals (n = 295) and COVID-19 negative healthy controls (n = 172) and achieved an F1-Score of 0.80 (95% CI = [0.79, 0.81]). SHAP values were mapped to visualize feature importance and directionality, yielding engineered features from core temperature, cough, and lung sounds as highly important. The results demonstrated potential for data-driven wearable sensor technology for remote preliminary screening, highlighting a fundamental pivot from continuous to snapshot monitoring of cardiorespiratory illnesses.

Obesity and cardiovascular disease: an ESC clinical consensus statement

The global prevalence of obesity has more than doubled over the past four decades, currently affecting more than a billion individuals. Beyond its recognition as a high-risk condition that is causally linked to many chronic illnesses, obesity has been declared a disease per se that results in impaired quality of life and reduced life expectancy. Notably, two-thirds of obesity-related excess mortality is attributable to cardiovascular disease. Despite the increasingly appreciated link between obesity and a broad range of cardiovascular disease manifestations including atherosclerotic disease, heart failure, thromboembolic disease, arrhythmias, and sudden cardiac death, obesity has been underrecognized and sub-optimally addressed compared with other modifiable cardiovascular risk factors. In the view of major repercussions of the obesity epidemic on public health, attention has focused on population-based and personalized approaches to prevent excess weight gain and maintain a healthy body weight from early childhood and throughout adult life, as well as on comprehensive weight loss interventions for persons with established obesity. This clinical consensus statement by the European Society of Cardiology discusses current evidence on the epidemiology and aetiology of obesity; the interplay between obesity, cardiovascular risk factors and cardiac conditions; the clinical management of patients with cardiac disease and obesity; and weight loss strategies including lifestyle changes, interventional procedures, and anti-obesity medications with particular focus on their impact on cardiometabolic risk and cardiac outcomes. The document aims to raise awareness on obesity as a major risk factor and provide guidance for implementing evidence-based practices for its prevention and optimal management within the context of primary and secondary cardiovascular disease prevention.

Enhancing Spinal Cord Injury Care: Using Wearable Technologies for Physical Activity, Sleep, and Cardiovascular Health

Wearable devices have the potential to advance health care by enabling real-time monitoring of biobehavioral data and facilitating the management of an individual's health conditions. Individuals living with spinal cord injury (SCI) have impaired motor function, which results in deconditioning and worsening cardiovascular health outcomes. Wearable devices may promote physical activity and allow the monitoring of secondary complications associated with SCI, potentially improving motor function, sleep, and cardiovascular health. However, several challenges remain to optimize the application of wearable technologies within this population. One is striking a balance between research-grade and consumer-grade devices in terms of cost, accessibility, and validity. Additionally, limited literature supports the validity and use of wearable technology in monitoring cardio-autonomic and sleep outcomes for individuals with SCI. Future directions include conducting performance evaluations of wearable devices to precisely capture the additional variation in movement and physiological parameters seen in those with SCI. Moreover, efforts to make the devices small, lightweight, and inexpensive for consumer ease of use may affect those with severe motor impairments. Overcoming these challenges holds the potential for wearable devices to help individuals living with SCI receive timely feedback to manage their health conditions and help clinicians gather comprehensive patient health information to aid in diagnosis and treatment.

Preliminary study on heart response and locomotor parameters in Donkeys (Equus asinus) during exercise using fitness tracker (Equimetre)

The welfare of donkeys remains a compelling subject for researchers, with limited literature available on the response of the donkey cardiovascular system during strenuous exercise. The study aimed to address two primary objectives. Firstly, to assess the reliability of wearable devices in detecting heart rate (HR) and ECG readings. Secondly, to determine HR, locomotor and cardiac troponin 1 (cTnI) levels in donkeys during exercise. A total of seven donkeys were outfitted with two systems for ECG measurements, namely Equimetre and the Standard base apex, to enable a comparison between the two. Additionally, fifteen apparently healthy donkeys equipped with Equimetre were divided into two groups: the race group (R), consisting of donkeys trained for racing, and the non-race group (NR), comprising donkeys used for regular riding. The results indicated a level of agreement between the two devices in intervals R-R (P =  < 0.0001), S-T (P = 0.0002), Q-T(P = 0.0003), P-R (P = 0.0037), segment P-R (P = 0.0023) and HR (P =  < 0.0001) at rest. This suggested that Equimetre can provide a level of accepted ECG reading in donkey. No significant difference in heart response and locomotor parameters between donkey groups, although this finding needs further studies to verify it and to understand the dynamics of donkey. This study demonstrates the feasibility of Equimetre in detection HR and present initial data of heart response and locomotor in donkeys during exercise.

Keep on truckin': how effective are health behaviour interventions on truck drivers' health? A systematic review and meta-analysis

BACKGROUND

Truck drivers are a vital workforce, but have higher rates of obesity and other chronic diseases than the general population. The occupation's sedentary nature, limited physical activity opportunities and access to healthy food, and irregular sleeping patterns contribute to poor health. This systematic review and meta-analysis aimed to evaluate the effectiveness of interventions on health behaviours and cardiometabolic biomarkers of health in truck drivers.

METHODS

A systematic search was conducted in February 2024, and reported according to PRISMA 2020 guidelines. Experimental studies targeting physical activity, sedentary behaviour, sleep, diet, weight loss, drug/alcohol use, and/or smoking were eligible. Two reviewers independently screened and completed data extraction and risk of bias assessment. Data were combined at the study level. Pooled statistics were calculated using mean differences (MD) or standardised mean differences (SMD) for outcomes that were reported in ≥2 studies. Pre- and post-intervention means and standard deviations (SD) for the intervention and control groups were used to compute effect sizes.

RESULTS

Nineteen studies (n=2137 participants) were included. Meta-analyses found a small-to-moderate increase in fruit and vegetable consumption (SMD 0.32, p=0.03) with no other significant effects on other outcome variables.

CONCLUSIONS

Interventions are moderately effective in increasing truck drivers' fruit and vegetable consumption, but not other outcomes. There is a dearth of research in the driver population compared to other occupational groups. Future interventions should consider workplace and environmental factors to promote the health and wellbeing of truck drivers.

TRIAL REGISTRATION

The study protocol was registered on PROSPERO (CRD42021283423).

A phase 2 study of a longitudinal multidimensional rehabilitation program for allogeneic blood and marrow transplantation patients

ABSTRACT

Allogeneic blood and marrow transplantation (alloBMT) is a curative treatment for blood cancers associated with various treatment-related adverse events and morbidities for which rehabilitation programs are currently limited. A phase 2 randomized controlled trial (RCT) was conducted to assess the feasibility, acceptability, and impact of CaRE-4-alloBMT, a longitudinal, multidimensional cancer rehabilitation program for patients undergoing alloBMT. The primary outcomes included the feasibility and acceptability of the intervention and the methods. Feasibility was assessed through recruitment, retention, and adherence rates. Acceptability was assessed through qualitative interviews. Secondary clinical outcomes were collected through questionnaires and physiological assessments at 4 time points. A total of 80 participants were recruited and randomized. Recruitment (72%) and retention (70%) rates, along with qualitative findings, support the feasibility of the intervention. Adherence was suboptimal, most notably educational module completion (22.7%). Treatment effect sizes of 0.70 (95% confidence interval [CI], 0.20-1.21; 30-second sit-to-stand test) and 0.46 (95% CI, -0.17 to 1.09; 36-Item Short Form Survey) were observed in favor of the intervention. The results appear promising; however, the findings are limited by missing data owing to attrition. Modifications will be required to refine the program and inform a phase 3 RCT. This trial was registered at www.ClinicalTrials.gov as #NCT04966156.

Beyond validation: getting wearable activity trackers into cardiovascular care-a discussion paper

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.

Tailored exercise with telehealth monitoring improves adherence and global health in kidney transplant recipients

Introduction

Tailored exercise prescription is a crucial intervention for kidney transplant recipients (KTRs). This longitudinal study investigates the impact on long-term effectiveness of exercise prescriptions over one year follow-up, implementing telehealth tools for exercise administration and adherence monitoring.

Materials and methods

KTRs were evaluated with clinical assessments including body composition, blood and urinary parameters, physical performance and quality of life at baseline (T0), after six (T6) and twelve (T12) months. The adherence to prescribed exercise training was monitored via video call interviews until T6 when the sample was divided into a group monitored via wearables (WG) and a group continuing video calls (VG) until T12.

Results

Twenty-six KTRs completed the study. No changes in body composition and kidney function were reported. KTRs showed an improvement in lipid profile, systolic blood pressure, cardiorespiratory fitness and quality of life. WG showed no clinical differences compared to VG except for reported higher quality of life.

Discussion

A good adherence to the exercise prescription was obtained with both monitoring methods (232 vs 253 min/week). This study reinforces the inclusion exercise training for KTRs to enhance physical fitness and reduce cardiovascular risk factors. These results emphasize the role of telehealth monitoring methods as motivators for adherence to long-term exercise prescriptions.

Wearable Device-Based Intervention for Promoting Patient Physical Activity After Lung Cancer Surgery: A Nonrandomized Clinical Trial

Importance

Emerging evidence suggests that wearable devices are feasible for monitoring physical activity among patients with lung cancer. However, the association between wearable devices and improvement in patient recovery after surgery remains underexplored.

Objective

To evaluate the effects of a wearable device intervention on the recovery of physical activity, cardiopulmonary function, and health-related quality of life (HRQOL) after lung cancer surgery.

Design, Setting, and Participants

This nonrandomized clinical trial with a historical control was conducted at a single tertiary cancer center (Samsung Comprehensive Cancer Center) in Seoul, South Korea, between October 18, 2018, and May 24, 2019. Patients were included if they had suspected or confirmed non-small cell lung cancer scheduled for curative surgery more extensive than lobectomy and had an Eastern Cooperative Oncology Group status of 0 or 1. Patients were compared with historical control participants from data collected between September 20, 2017, and September 10, 2018, as part of the Coordinated Approach to Cancer Patients' Health for Lung Cancer (CATCH-LUNG) prospective cohort study. Data analysis was performed between June 21 and July 16, 2020.

Intervention

A personalized exercise regimen monitored via a wearable device was administered to intervention patients at home in 3 stages: preoperative (from diagnosis to surgery), immediate (from discharge to 2 months after surgery), and later postoperative (from 2 to 6 months after surgery). Control patients received usual care.

Main Outcomes and Measures

The primary outcome was cardiopulmonary function, and the co-primary outcome was physical activity at 6 months after surgery, measured with 6-minute walking distance (6MWD) and number of daily steps, using a linear regression model. Secondary outcomes were changes in cardiopulmonary function, physical activity, and HRQOL, including function and symptoms from baseline to 2 weeks and 6 months after surgery. Additionally, cardiopulmonary function and physical activity (number of daily steps and time spent on moderate-to-vigorous physical activity [MVPA]) at 2 weeks after surgery, physical activity (time spent on MVPA) at 6 months after surgery, and HRQOL, including function and symptoms at 2 weeks and 6 months after surgery, were assessed as secondary outcomes.

Results

This trial included 74 patients in the intervention group (mean [SD] age, 60.4 [8.7] years; 31 [41.9%] men and 43 [58.1%] women) and 120 in the control group (mean [SD] age, 60.2 [8.7] years; 65 [54.2%] men and 55 [45.8%] women). Daily steps, MVPA, and 6MWD decreased initially at 2 weeks after surgery but increased thereafter. The control group had a larger decrease in the number of daily steps from baseline compared with the intervention group (-4877 [95% CI, -5861 to -3893] steps vs -1753 [95% CI, -2968 to -539] steps) at 2 weeks after surgery. By 6 months after surgery, the intervention group increased their daily steps by 2220 (95% CI, 1006 to 3435) from baseline, whereas the control group did not return to their baseline number of steps. The intervention group had significantly more daily steps (12 321 [95% CI, 8749-15 761] vs 10 118 [95% CI, 7341-13 420]; P = .007) and had greater vigorous physical activity (33.6 [95% CI, 13.5 to 59.8] vs 18.5 [5.7 to 40.8] minutes; P = .003) at 6 months after surgery compared with the control group. No difference in 6MWD was found. However, the intervention group had better patient-reported physical function (mean [SD] score, 82.2 [17.3] vs 76.9 [17.5]; P = .04), less dyspnea (mean [SD] score, 24.8 [27.1] vs 34.5 [31.6]; P = .03), and less pain (mean [SD] score, 21.4 [20.2] vs 30.1 [26.8]; P = .01) at 2 weeks after surgery and less dyspnea (mean [SD] score, 5.4[12.4] vs 12[23.3]; P = .01) at 6 months after surgery compared with the control group.

Conclusions and Relevance

In this nonrandomized clinical trial, integration of perioperative exercise interventions using wearable devices improved physical activity (especially MVPA) and dyspnea at 6 months after lung cancer surgery compared with usual care. This finding suggests a promising role for wearable devices in personalizing perioperative rehabilitation strategies.

Trial Registration

ClinicalTrials.gov Identifier: NCT03215537.

Economic Perspective of the Use of Wearables in Health Care: A Systematic Review

The objective of this study is to explore the current state of research concerning the cost-effectiveness of wearable health technologies, excluding hearing aids, owing to extensive previous investigation. A systematic review was performed using PubMed, EMBASE/MEDLINE, Google Scholar, and Cumulated Index to Nursing and Allied Health Literature to search studies evaluating the cost-effectiveness of wearable health devices in terms of quality-adjusted life years and incremental cost-effectiveness ratio. The search was conducted on March 28, 2023, and the date of publication did not limit the search. The search yielded 10 studies eligible for inclusion. These studies, published between 2012 and 2023, spanned various locations globally. The studies used data from hypothetical cohorts, existing research, randomized controlled trials, and meta-analyses. They covered a diverse range of wearable technologies applied in different health care settings, including respiratory rate monitors, pedometers, fall-prediction devices, hospital-acquired pressure injury prevention monitors, seizure detection devices, heart rate monitors, insulin therapy sensors, and wearable cardioverter defibrillators. The time horizons in the cost-effectiveness analyses ranged from less than a year to a lifetime. The studies indicate that wearable technologies can increase quality-adjusted life years and be cost-effective and potentially cost-saving. However, the cost-effectiveness depends on various factors, such as the type of device, the health condition being addressed, the specific perspective of the health economic analysis, local cost and payment structure, and willingness-to-pay thresholds. The use of wearables in health care promises improving outcomes and resource allocation. However, more research is needed to fully understand the long-term benefits and to strengthen the evidence base for health care providers, policymakers, and patients.

Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis

BACKGROUND

Physical inactivity in children and adolescents has become a pressing public health concern. Wearable activity trackers can allow self-monitoring of physical activity behaviour and promote autonomous motivation for exercise. However, the effects of wearable trackers on physical activity in young populations remain uncertain.

METHODS

In this systematic review and meta-analysis, we searched PubMed, Embase, SPORTDiscus, and Web of Science for publications from database inception up to Aug 30, 2023, without restrictions on language. Studies were eligible if they were randomised controlled trials or clustered randomised controlled trials that examined the use of wearable activity trackers to promote physical activity, reduce sedentary behaviours, or promote overall health in participants with a mean age of 19 years or younger, with no restrictions on health condition or study settings. Studies were excluded if children or adolescents were not the primary intervention cohort, or wearable activity trackers were not worn on users' bodies to objectively track users' physical activity levels. Two independent reviewers (WWA and FR) assessed eligibility of studies and contacted authors of studies if more information was needed to assess eligibility. We also searched reference lists from relevant systematic reviews and meta-analyses. Systematic review software Covidence was used for study screening and data extraction. Study characteristics including study setting, participant characteristics, intervention characteristics, comparator, and outcome measurements were extracted from eligible studies. The two primary outcomes were objectively measured daily steps and moderate-to-vigorous physical activity. We used a random-effects model with Hartung-Knapp adjustments to calculate standardised mean differences. Between-study heterogeneity was examined using Higgins I2 and Cochran Q statistic. Publication bias was assessed using Egger's regression test. This systematic review was registered with PROSPERO, CRD42023397248.

FINDINGS

We identified 9619 studies from our database research and 174 studies from searching relevant systematic reviews and meta-analyses, of which 105 were subjected to full text screening. We included 21 eligible studies, involving 3676 children and adolescents (1618 [44%] were female and 2058 [56%] were male, mean age was 13·7 years [SD 2·7]) in our systematic review and meta-analysis. Ten studies were included in the estimation of the effect of wearable activity trackers on objectively measured daily steps and 11 were included for objectively measured moderate-to-vigorous physical activity. Compared with controls, we found a significant increase in objectively measured daily steps (standardised mean difference 0·37 [95% CI 0·09 to 0·65; p=0·013]; Q 47·60 [p<0·0001]; I2 72·7% [95% CI 53·4 to 84·0]), but not for moderate-to-vigorous physical activity (-0·08 [-0·18 to 0·02; p=0·11]; Q 10·26 [p=0·74]; I2 0·0% [0·0 to 53·6]).

INTERPRETATION

Wearable activity trackers might increase daily steps in young cohorts of various health statuses, but not moderate-to-vigorous physical activity, highlighting the potential of wearable trackers for motivating physical activity in children and adolescents. More rigorously designed trials that minimise missing data are warranted to validate our positive findings on steps and to explore possible long-term effects.

FUNDING

The Hong Kong University Grants Committee and Seed Fund for Basic Research of the University of Hong Kong.

Moderation Effects of Daily Behavior on Associations Between Symptoms and Social Participation Outcomes After Burn Injury: A 6-Month Digital Phenotyping Study

OBJECTIVE

To examine the moderation effects of daily behavior on the associations between symptoms and social participation outcomes after burn injury.

DESIGN

A 6-month prospective cohort study.

SETTING

Community.

PARTICIPANTS

Twenty-four adult burn survivors.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Symptoms and social participation outcomes were assessed weekly using smartphone surveys, including symptoms of pain (Patient-Reported Outcomes Measurement Information System [PROMIS] Pain Intensity and Pain Interference), anxiety (PROMIS Anxiety), and depression (Patient Health Questionnaire), as well as outcomes of social interactions and social activities (Life Impact Burn Recovery Evaluation [LIBRE] Social Interactions and Social Activities). Daily behaviors were automatically recorded by a smartphone application and smartphone logs, including physical activity (steps, travel miles, and activity minutes), sleep (sleep hours), and social contact (number of phone calls and message contacts).

RESULTS

Multilevel models controlling for demographic and burn injury variables examined the associations between symptoms and social participation outcomes and the moderation effects of daily behaviors. Lower (worse) LIBRE Social Interactions and LIBRE Social Activities scores were significantly associated with higher (worse) PROMIS Pain Intensity, PROMIS Pain Interference, PROMIS Anxiety, and Patient Health Questionnaire-8 scores (P<.05). Additionally, daily steps and activity minutes were associated with LIBRE Social Interactions and LIBRE Social Activities (P<.05), and significantly moderated the association between PROMIS Anxiety and LIBRE Social Activities (P<.001).

CONCLUSIONS

Social participation outcomes are associated with pain, anxiety, and depression symptoms after burn injury, and are buffered by daily physical activity. Future intervention studies should examine physical activity promotion to improve social recovery after burns.

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

BACKGROUND

Wearable activity trackers, including fitness bands and smartwatches, offer the potential for disease detection by monitoring physiological parameters. However, their accuracy as specific disease diagnostic tools remains uncertain.

OBJECTIVE

This systematic review and meta-analysis aims to evaluate whether wearable activity trackers can be used to detect disease and medical events.

METHODS

Ten electronic databases were searched for studies published from inception to April 1, 2023. Studies were eligible if they used a wearable activity tracker to diagnose or detect a medical condition or event (eg, falls) in free-living conditions in adults. Meta-analyses were performed to assess the overall area under the curve (%), accuracy (%), sensitivity (%), specificity (%), and positive predictive value (%). Subgroup analyses were performed to assess device type (Fitbit, Oura ring, and mixed). The risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Diagnostic Test Accuracy Studies.

RESULTS

A total of 28 studies were included, involving a total of 1,226,801 participants (age range 28.6-78.3). In total, 16 (57%) studies used wearables for diagnosis of COVID-19, 5 (18%) studies for atrial fibrillation, 3 (11%) studies for arrhythmia or abnormal pulse, 3 (11%) studies for falls, and 1 (4%) study for viral symptoms. The devices used were Fitbit (n=6), Apple watch (n=6), Oura ring (n=3), a combination of devices (n=7), Empatica E4 (n=1), Dynaport MoveMonitor (n=2), Samsung Galaxy Watch (n=1), and other or not specified (n=2). For COVID-19 detection, meta-analyses showed a pooled area under the curve of 80.2% (95% CI 71.0%-89.3%), an accuracy of 87.5% (95% CI 81.6%-93.5%), a sensitivity of 79.5% (95% CI 67.7%-91.3%), and specificity of 76.8% (95% CI 69.4%-84.1%). For atrial fibrillation detection, pooled positive predictive value was 87.4% (95% CI 75.7%-99.1%), sensitivity was 94.2% (95% CI 88.7%-99.7%), and specificity was 95.3% (95% CI 91.8%-98.8%). For fall detection, pooled sensitivity was 81.9% (95% CI 75.1%-88.1%) and specificity was 62.5% (95% CI 14.4%-100%).

CONCLUSIONS

Wearable activity trackers show promise in disease detection, with notable accuracy in identifying atrial fibrillation and COVID-19. While these findings are encouraging, further research and improvements are required to enhance their diagnostic precision and applicability.

TRIAL REGISTRATION

Prospero CRD42023407867; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=407867.

Walking away from depression: the mediating role of walking activity in depression impacting blood glucose levels of people with diabetes or prediabetes

Introduction

Depression can exacerbate diabetes by impairing self-care behaviors and increasing the risk of complication; however, the underlying mechanism is still unclear. Given the suggested associations between walking activity, depression status, and blood glucose levels this study explores the intricate relationship between depression and blood glucose (BG) control, with a focus on walking activity as a behavioral mediator. The purpose of this study is to examine walking activity's mediating role in depression's impact on BG levels, investigating and validating the non-linear association between BG levels and walking activity. This retrospective real-world study demonstrates the potential of regular walking activity as a simple and accessible intervention to mitigate the negative effects of depression on BG levels in T2D and prediabetes.

Methods

A cohort of 989 users with T2D and prediabetes, who regularly tracked their steps levels and BG levels for 12 months using the Dario digital health platform was evaluated. The mediating role of the monthly average number of steps on the relationship between the self-reported depression status and lagged monthly average BG was assessed. Additionally, the association between monthly walking activity and monthly average BG was tested using a piecewise linear mixed effects model.

Results

Users with self-reported depression demonstrated increased BG levels compared to users without depression (B=8.00, P=.01). The association between depression and monthly average number of steps was significant (B=-.27, P<.005) and monthly average number of steps significantly predicted the following months' average BG (B=-.81, P=.001), adjusting for depression. The monthly average number of steps significantly mediated the effect of self-reported depression on the following month's average BG (M=.22, P<.005). Further sensitivity analysis demonstrated model robustness over various periods. Finally, non-linear dynamics of walking activity over time was validated using unseen data showing a decrease in monthly average BG for users with over an average of 400 steps per day (B=-1.87, P<.01).

Discussion

This study shows how regular walking may reduce the negative impact of depression on BG levels in people with T2D. Our findings advocate for the integration of walking activity into treatment protocols as a cost-effective, accessible intervention strategy to improve glycemic management and depressive symptoms in this population.

Establishing a Consensus-Based Framework for the Use of Wearable Activity Trackers in Health Care: Delphi Study

BACKGROUND

Physical activity (PA) plays a crucial role in health care, providing benefits in the prevention and management of many noncommunicable diseases. Wearable activity trackers (WATs) provide an opportunity to monitor and promote PA in various health care settings.

OBJECTIVE

This study aimed to develop a consensus-based framework for the optimal use of WATs in health care.

METHODS

A 4-round Delphi survey was conducted, involving a panel (n=58) of health care professionals, health service managers, and researchers. Round 1 used open-response questions to identify overarching themes. Rounds 2 and 3 used 9-point Likert scales to refine participants' opinions and establish consensus on key factors related to WAT use in health care, including metrics, device characteristics, clinical populations and settings, and software considerations. Round 3 also explored barriers and mitigating strategies to WAT use in clinical settings. Insights from Rounds 1-3 informed a draft checklist designed to guide a systematic approach to WAT adoption in health care. In Round 4, participants evaluated the draft checklist's clarity, utility, and appropriateness.

RESULTS

Participation rates for rounds 1 to 4 were 76% (n=44), 74% (n=43), 74% (n=43), and 66% (n=38), respectively. The study found a strong interest in using WATs across diverse clinical populations and settings. Key metrics (step count, minutes of PA, and sedentary time), device characteristics (eg, easy to charge, comfortable, waterproof, simple data access, and easy to navigate and interpret data), and software characteristics (eg, remote and wireless data access, access to multiple patients' data) were identified. Various barriers to WAT adoption were highlighted, including device-related, patient-related, clinician-related, and system-level issues. The findings culminated in a 12-item draft checklist for using WATs in health care, with all 12 items endorsed for their utility, clarity, and appropriateness in Round 4.

CONCLUSIONS

This study underscores the potential of WATs in enhancing patient care across a broad spectrum of health care settings. While the benefits of WATs are evident, successful integration requires addressing several challenges, from technological developments to patient education and clinician training. Collaboration between WAT manufacturers, researchers, and health care professionals will be pivotal for implementing WATs in the health care sector.

Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder impacting women's health and quality of life. This scoping review explores the use of the Internet of Things (IoT) in PCOS management. Results were grouped into six domains of the IoT: mobile apps, social media, wearables, machine learning, websites, and phone-based. A further domain was created to capture participants' perspectives on using the IoT in PCOS management. Mobile apps appear to be useful for menstrual cycle tracking, symptom recording, and education. Despite concerns regarding the quality and reliability of social media content, these platforms may play an important role in disseminating PCOS-related information. Wearables facilitate detailed symptom monitoring and improve communication with healthcare providers. Machine learning algorithms show promising results in PCOS diagnosis accuracy, risk prediction, and app development. Although abundant, PCOS-related content on websites may lack quality and cultural considerations. While patients express concerns about online misinformation, they consider online forums valuable for peer connection. Using text messages and phone calls to provide feedback and support to PCOS patients may help them improve lifestyle behaviors and self-management skills. Advancing evidence-based, culturally sensitive, and accessible IoT solutions can enhance their potential to transform PCOS care, address misinformation, and empower women to better manage their symptoms.

Exploring individual, social and environmental factors related to physical activity: a network analysis

Objectives

Insufficient physical activity (PA) has long been a global health issue, and a number of studies have explored correlates of PA to identify the mechanisms underlying inactive lifestyles. In the literature, dozens of correlates have been identified at different (eg, individual, environmental) levels, but there is little or no direct evidence for the mutual associations of these correlates. This study analysed 44 variables identified as theoretically and empirically relevant for PA to clarify the factors directly and indirectly associated with PA.

Methods

A cross-sectional survey dataset of 19 005 Japanese-speaking adults (mean age=53.50 years, SD=17.40; 9706 women) was analysed. The data encompassed demographic and anthropometric variables; self-reported PA levels; perceived social support and environments (eg, awareness of urban facilities for PA); psychological traits and health-behaviour characteristics (eg, personality, motivation, self-efficacy, decisional balance, process of change strategies); and technology use (eg, mobile health apps).

Results

Network analyses were performed to select meaningful associations (partial correlations) among variables, which identified nine variables directly positively associated with PA: job/employment status, self-efficacy, perceived social support, intrinsic motivation, stage of change, counter conditioning, self-reevaluation, environment and technology use. Indirect associations (two-step neighbourhood) were identified for 40 (out of 44) variables, implying that most of the known PA-correlates are associated with PA-at least indirectly.

Conclusion

These identified associations echo the importance of the multilevel perspective in understanding how people maintain (in)active lifestyles. Interventions for PA could have mixed-level targets, including intraindividual characteristics, social support and physical and digital environments.

Association Between Microvascular Disease and Cardiorespiratory Fitness Among Adults With Type 2 Diabetes

OBJECTIVE

Little is known about the extent to which microvascular disease is associated with cardiorespiratory fitness (CRF) among individuals with type 2 diabetes.

RESEARCH DESIGN AND METHODS

A total of 4,766 participants with type 2 diabetes underwent maximal exercise testing in the Look AHEAD (Action for Health in Diabetes) study at baseline. Low CRF was defined based on the Aerobics Center Longitudinal Study reference standards. Microvascular disease was defined as having one or more of diabetes-related kidney disease (DKD), retinopathy, and neuropathy. The burden of microvascular disease was defined as the number of microvascular beds affected.

RESULTS

Of the 4,766 participants (mean age 58.9 ± 6.7 years, 58.5% women, 66.1% White individuals), 1,761 (37%) had microvascular disease. Participants with microvascular complications in three vascular territories had a lower CFR than those without any microvascular disease (mean adjusted metabolic equivalent of task [MET] 6.58 vs. 7.26, P = 0.001). Participants with any microvascular disease had higher odds of low CRF than those without microvascular disease (adjusted odds ratio [OR] 1.45, 95% CI 1.24-1.71). An increasing burden of microvascular disease was associated with higher odds of low CRF (for microvascular disease in three vascular territories, adjusted OR 2.82, 95% CI 1.36-5.85). Adjusted ORs for low CRF were 1.24 (95% CI 0.99-1.55), 1.34 (95% CI 1.02-1.76), and 1.44 (95% CI 1.20-1.73) for neuropathy, retinopathy, and DKD associations, respectively.

CONCLUSIONS

In a large cohort of adults with type 2 diabetes, the presence of microvascular disease and its burden were independently associated with lower CRF.

The potential role for artificial intelligence in fracture risk prediction

Osteoporotic fractures are a major health challenge in older adults. Despite the availability of safe and effective therapies for osteoporosis, these therapies are underused in individuals at high risk for fracture, calling for better case-finding and fracture risk assessment strategies. Artificial intelligence (AI) and machine learning (ML) hold promise for enhancing identification of individuals at high risk for fracture by distilling useful features from high-dimensional data derived from medical records, imaging, and wearable devices. AI-ML could enable automated opportunistic screening for vertebral fractures and osteoporosis, home-based monitoring and intervention targeting lifestyle factors, and integration of multimodal features to leverage fracture prediction, ultimately aiding improved fracture risk assessment and individualised treatment. Optimism must be balanced with consideration for the explainability of AI-ML models, biases (including information inequity in numerically under-represented populations), model limitations, and net clinical benefit and workload impact. Clinical integration of AI-ML algorithms has the potential to transform osteoporosis management, offering a more personalised approach to reduce the burden of osteoporotic fractures.

The Best of Two Worlds to Promote Healthy Cognitive Aging: Definition and Classification Approach of Hybrid Physical Training Interventions

A healthy lifestyle can be an important prerequisite to prevent or at least delay the onset of dementia. However, the large number of physically inactive adults underscores the need for developing and evaluating intervention approaches aimed at improving adherence to a physically active lifestyle. In this regard, hybrid physical training, which usually combines center- and home-based physical exercise sessions and has proven successful in rehabilitative settings, could offer a promising approach to preserving cognitive health in the aging population. Despite its potential, research in this area is limited as hybrid physical training interventions have been underused in promoting healthy cognitive aging. Furthermore, the absence of a universally accepted definition or a classification framework for hybrid physical training interventions poses a challenge to future progress in this direction. To address this gap, this article informs the reader about hybrid physical training by providing a definition and classification approach of different types, discussing their specific advantages and disadvantages, and offering recommendations for future research. Specifically, we focus on applying digital technologies to deliver home-based exercises, as their use holds significant potential for reaching underserved and marginalized groups, such as older adults with mobility impairments living in rural areas.

Patterns of Ownership and Usage of Wearable Devices in the United States, 2020-2022: Survey Study

BACKGROUND

Although wearable technology has become increasingly common, comprehensive studies examining its ownership across different sociodemographic groups are limited.

OBJECTIVE

The aims of this study were to (1) measure wearable device ownership by sociodemographic characteristics in a cohort of US consumers and (2) investigate how these devices are acquired and used for health-related purposes.

METHODS

Data from the Rock Health Digital Health Consumer Adoption Survey collected from 2020 to 2022 with 23,974 US participants were analyzed. The sample was US Census-matched for demographics, including age, race/ethnicity, gender, and income. The relationship between sociodemographic factors and wearable ownership was explored using descriptive analysis and multivariate logistic regression.

RESULTS

Of the 23,974 respondents, 10,679 (44.5%) owned wearables. Ownership was higher among younger individuals, those with higher incomes and education levels, and respondents living in urban areas. Compared to those aged 18-24 years, respondents 65 years and older had significantly lower odds of wearable ownership (odds ratio [OR] 0.18, 95% CI 0.16-0.21). Higher annual income (≥US $200,000; OR 2.27, 95% CI 2.01-2.57) and advanced degrees (OR 2.23, 95% CI 2.01-2.48) were strong predictors of ownership. Living in rural areas reduced ownership odds (OR 0.65, 95% CI 0.60-0.72). There was a notable difference in ownership based on gender and health insurance status. Women had slightly higher ownership odds than men (OR 1.10, 95% CI 1.04-1.17). Private insurance increased ownership odds (OR 1.28, 95% CI 1.17-1.40), whereas being uninsured (OR 0.41, 95% CI 0.36-0.47) or on Medicaid (OR 0.75, 95% CI 0.68-0.82) decreased the odds of ownership. Interestingly, minority groups such as non-Hispanic Black (OR 1.14, 95% CI 1.03-1.25) and Hispanic/Latine (OR 1.20, 95% CI 1.10-1.31) respondents showed slightly higher ownership odds than other racial/ethnic groups.

CONCLUSIONS

Our findings suggest that despite overall growth in wearable ownership, sociodemographic divides persist. The data indicate a need for equitable access strategies as wearables become integral to clinical and public health domains.

Association between Depressive Symptoms, Physical Activity, and Health Factors in Hispanic Emerging Adults

Physical activity is a modifiable lifestyle behavior known for reducing symptoms of and being a risk factor for depression and mental health disorders. However, emerging adults (ages 18-25) struggle to meet recommended amounts. In this study, we explore the association between physical activity, depressive symptoms, and health factors in 137 Hispanic emerging adults. Using a cross-sectional survey design, sociodemographic information, depressive symptoms (CES-D score), physical activity (IPAQ score), body composition, and blood pressure measures were obtained. Statistical analyses included correlation and regression analyses. More than half of the participants demonstrated depressive symptomology (59.1%) and body fat percentage greater than 25% (64.2%). Body fat percentage, lean body mass, stress, and heart rate demonstrated notable associations with depressive symptoms and physical activity. When measured continuously and categorically, IPAQ was not a significant predictor of depressive symptoms. When used as a binary variable with a cutoff of 600 MET min/week, IPAQ score revealed a negative relationship with CES-D score (β = -0.169, SE = 2.748, p = 0.034). Our results indicate that a threshold of physical activity, 600 MET min/week, may confer protective effects against depressive symptoms. Future research should investigate the context and quality of physical activity to address mental health disparities in this underrepresented population.

Deconstructing Fitbit to Specify the Effective Features in Promoting Physical Activity Among Inactive Adults: Pilot Randomized Controlled Trial

BACKGROUND

Wearable activity trackers have become key players in mobile health practice as they offer various behavior change techniques (BCTs) to help improve physical activity (PA). Typically, multiple BCTs are implemented simultaneously in a device, making it difficult to identify which BCTs specifically improve PA.

OBJECTIVE

We investigated the effects of BCTs implemented on a smartwatch, the Fitbit, to determine how each technique promoted PA.

METHODS

This study was a single-blind, pilot randomized controlled trial, in which 70 adults (n=44, 63% women; mean age 40.5, SD 12.56 years; closed user group) were allocated to 1 of 3 BCT conditions: self-monitoring (feedback on participants' own steps), goal setting (providing daily step goals), and social comparison (displaying daily steps achieved by peers). Each intervention lasted for 4 weeks (fully automated), during which participants wore a Fitbit and responded to day-to-day questionnaires regarding motivation. At pre- and postintervention time points (in-person sessions), levels and readiness for PA as well as different aspects of motivation were assessed.

RESULTS

Participants showed excellent adherence (mean valid-wear time of Fitbit=26.43/28 days, 94%), and no dropout was recorded. No significant changes were found in self-reported total PA (dz<0.28, P=.40 for the self-monitoring group, P=.58 for the goal setting group, and P=.19 for the social comparison group). Fitbit-assessed step count during the intervention period was slightly higher in the goal setting and social comparison groups than in the self-monitoring group, although the effects did not reach statistical significance (P=.052 and P=.06). However, more than half (27/46, 59%) of the participants in the precontemplation stage reported progress to a higher stage across the 3 conditions. Additionally, significant increases were detected for several aspects of motivation (ie, integrated and external regulation), and significant group differences were identified for the day-to-day changes in external regulation; that is, the self-monitoring group showed a significantly larger increase in the sense of pressure and tension (as part of external regulation) than the goal setting group (P=.04).

CONCLUSIONS

Fitbit-implemented BCTs promote readiness and motivation for PA, although their effects on PA levels are marginal. The BCT-specific effects were unclear, but preliminary evidence showed that self-monitoring alone may be perceived demanding. Combining self-monitoring with another BCT (or goal setting, at least) may be important for enhancing continuous engagement in PA.

TRIAL REGISTRATION

Open Science Framework; https://osf.io/87qnb/?view_only=f7b72d48bb5044eca4b8ce729f6b403b.

Physical Education Teachers' Health Literacy: First Evidence from Lithuania

BACKGROUND

Promotion of health literacy is an important goal in the context of promoting whole school health. Physical education teachers are of particular importance in achieving this goal. However, very limited empirical studies have addressed the health literacy of physical education teachers. This research aimed to test the structural validity and reliability of the HLS19-Q12, to measure health literacy among physical education teachers, and to evaluate associations of health literacy with health- and lifestyle-related indicators.

METHODS

We conducted a cross-sectional study of Lithuanian physical education teachers. The participants completed a self-administered online survey that collected information on socio-demographics and health literacy (HLS19-Q12 for general health literacy and the optional package HLS19-DIGI to measure digital health literacy) as well as health behavior.

RESULTS

A total of 332 participants completed the survey. The HLS19-Q12 demonstrated acceptable internal consistency (Cronbach's α of 0.73 and McDonald's ω of 0.75) and satisfactory structural validity (CFI = 0.924, TLI = 0.917, RMSEA = 0.081). Participants had an average score of 85.09 (SD = 17.23) when using the HLS19-Q12, with 19.3% and 48.8% displaying excellent and sufficient levels of health literacy, respectively. Regression analyses revealed that a higher level of health literacy was significantly associated with better health evaluation (β = 0.15, p < 0.01), but no significant association was found with other health behavior and lifestyle indicators.

CONCLUSIONS

Overall, the results suggest that teachers' general health literacy is relatively high. Our findings highlight the importance of conducting more in-depth studies to pursue the understanding of the whole school teachers' health literacy.

A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours

The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness of e- and m-Health interventions designed to improve physical activity, sedentary behaviour, healthy eating and sleep. Nine electronic databases were searched for eligible studies published from inception to 1 June 2023. Systematic reviews with meta-analyses of RCTs that evaluate e- and m-Health interventions designed to improve physical activity, sedentary behaviour, sleep and healthy eating in any adult population were included. Forty-seven meta-analyses were included, comprising of 507 RCTs and 206,873 participants. Interventions involved mobile apps, web-based and SMS interventions, with 14 focused on physical activity, 3 for diet, 4 for sleep and 26 evaluating multiple behaviours. Meta-meta-analyses showed that e- and m-Health interventions resulted in improvements in steps/day (mean difference, MD = 1329 [95% CI = 593.9, 2065.7] steps/day), moderate-to-vigorous physical activity (MD = 55.1 [95% CI = 13.8, 96.4] min/week), total physical activity (MD = 44.8 [95% CI = 21.6, 67.9] min/week), sedentary behaviour (MD = -426.3 [95% CI = -850.2, -2.3] min/week), fruit and vegetable consumption (MD = 0.57 [95% CI = 0.11, 1.02] servings/day), energy intake (MD = -102.9 kcals/day), saturated fat consumption (MD = -5.5 grams/day), and bodyweight (MD = -1.89 [95% CI = -2.42, -1.36] kg). Analyses based on standardised mean differences (SMD) showed improvements in sleep quality (SMD = 0.56, 95% CI = 0.40, 0.72) and insomnia severity (SMD = -0.90, 95% CI = -1.14, -0.65). Most subgroup analyses were not significant, suggesting that a variety of e- and m-Health interventions are effective across diverse age and health populations. These interventions offer scalable and accessible approaches to help individuals adopt and sustain healthier behaviours, with implications for broader public health and healthcare challenges.

Digital health and medical technology for perioperative sarcopenia optimisation and prehabilitation - Where to go from here?

Sarcopenia has been shown to cause poorer outcomes in surgical oncology. With the advancement of artificial intelligence technology, body composition analysis can be obtained with ease. Given the lead time between cancer diagnosis and surgery, selected patients at risk of complications secondary to sarcopenia may be amenable to prehabilitation. The COVID-19 pandemic has led to the rapid adaptation of digital health and medical technology. Our perspective piece will review the current available evidence and propose innovative ways to incorporate technology into physical and nutritional prehabilitation.

Digital measures in epilepsy in low-resourced environments

INTRODUCTION

Digital measures and digital health-care delivery have been rarely implemented in lower-and-middle-income countries (LMICs), contributing to worsening global disparities and inequities. Sustainable ways to implement and use digital approaches will help to improve time to access, management, and quality of life in persons with epilepsy, goals that remain unreachable in under-resourced communities. As under-resourced environments differ in human and economic resources, no one approach will be appropriate to all LMICs.

AREAS COVERED

Digital health and tools to monitor and measure digital endpoints and metrics of quality of life will need to be developed or adapted to the specific needs of under-resourced areas. Portable technologies may partially address the urban-rural divide. Careful delineation of stakeholders and their engagement and alignment in all efforts is critically important if these initiatives are to be successfully sustained. Privacy issues, neglected in many regions globally, must be purposefully addressed.

EXPERT OPINION

Epilepsy care in under-resourced environments has been limited by the lack of relevant technologies for diagnosis and treatment. Digital biomarkers, and investigative technological advances, may finally make it feasible to sustainably improve care delivery and ultimately quality of life including personalized epilepsy care.

DE-PASS best evidence statement (BESt): determinants of adolescents' device-based physical activity and sedentary behaviour in settings: a systematic review and meta-analysis

BACKGROUND

Although physical activity (PA) is associated with significant health benefits, only a small percentage of adolescents meet recommended PA levels. This systematic review with meta-analysis explored the modifiable determinants of adolescents' device-based PA and/or sedentary behaviour (SB), evaluated in previous interventions and examined the associations between PA/SB and these determinants in settings.

METHODS

A search was conducted on five electronic databases, including papers published from January 2010 to July 2023. Randomized Controlled Trials (RCTs) or Controlled Trials (CTs) measuring adolescents' device-based PA/SB and their modifiable determinants at least at two time points: pre- and post-intervention were considered eligible. PA/SB and determinants were the main outcomes. Modifiable determinants were classified after data extraction adopting the social-ecological perspective. Robust Bayesian meta-analyses (RoBMA) were performed per each study setting. Outcomes identified in only one study were presented narratively. The risk of bias for each study and the certainty of the evidence for each meta-analysis were evaluated. The publication bias was also checked.

PROSPERO ID

CRD42021282874.

RESULTS

Fourteen RCTs (eight in school, three in school and family, and one in the family setting) and one CT (in the school setting) were included. Fifty-four modifiable determinants were identified and were combined into 33 broader determinants (21 individual-psychological, four individual-behavioural, seven interpersonal, and one institutional). RoBMAs revealed none or negligible pooled intervention effects on PA/SB or determinants in all settings. The certainty of the evidence of the impact of interventions on outcomes ranged from very low to low. Narratively, intervention effects in favour of the experimental group were detected in school setting for the determinants: knowledge of the environment for practicing PA, d = 1.84, 95%CI (1.48, 2.20), behaviour change techniques, d = 0.90, 95%CI (0.09, 1.70), choice provided, d = 0.70, 95%CI (0.36, 1.03), but no corresponding effects on PA or SB were found.

CONCLUSIONS

Weak to minimal evidence regarding the associations between the identified modifiable determinants and adolescents' device-based PA/SB in settings were found, probably due to intervention ineffectiveness. Well-designed and well-implemented multicomponent interventions should further explore the variety of modifiable determinants of adolescents' PA/SB, including policy and environmental variables.

Putting the usability of wearable technology in forensic psychiatry to the test: a randomized crossover trial

Introduction

Forensic psychiatric patients receive treatment to address their violent and aggressive behavior with the aim of facilitating their safe reintegration into society. On average, these treatments are effective, but the magnitude of effect sizes tends to be small, even when considering more recent advancements in digital mental health innovations. Recent research indicates that wearable technology has positive effects on the physical and mental health of the general population, and may thus also be of use in forensic psychiatry, both for patients and staff members. Several applications and use cases of wearable technology hold promise, particularly for patients with mild intellectual disability or borderline intellectual functioning, as these devices are thought to be user-friendly and provide continuous daily feedback.

Method

In the current randomized crossover trial, we addressed several limitations from previous research and compared the (continuous) usability and acceptance of four selected wearable devices. Each device was worn for one week by staff members and patients, amounting to a total of four weeks. Two of the devices were general purpose fitness trackers, while the other two devices used custom made applications designed for bio-cueing and for providing insights into physiological reactivity to daily stressors and events.

Results

Our findings indicated significant differences in usability, acceptance and continuous use between devices. The highest usability scores were obtained for the two fitness trackers (Fitbit and Garmin) compared to the two devices employing custom made applications (Sense-IT and E4 dashboard). The results showed similar outcomes for patients and staff members.

Discussion

None of the devices obtained usability scores that would justify recommendation for future use considering international standards; a finding that raises concerns about the adaptation and uptake of wearable technology in the context of forensic psychiatry. We suggest that improvements in gamification and motivational aspects of wearable technology might be helpful to tackle several challenges related to wearable technology.

Highly Durable Antibacterial Textiles: Cross-Linked Protonated Polyaniline-Polyacrylic Acid with Prolonged Electrical Stability

This study addressed the limited antibacterial durability of textile materials, which has suppressed their applications in preventing infectious disease transmission. A class of highly durable antibacterial textiles was developed by incorporating protonated polyaniline (PANI) textile with poly(acrylic acid) (PAA) as the functional binder via cross-linking polymerization. The resulting PAA-PANI textile exhibits exceptional electrical conductivity, reaching 8.33 ± 0.04 × 10-3 S/cm when cross-linked with 30% PAA. Remarkably, this textile maintains its electrical stability at 10-3 S/cm even after 50 washing cycles, demonstrating unparalleled durability. Furthermore, the PANI-PAA textile showcases remarkable antibacterial efficacy, with 95.48% efficiency against Pseudomonas aeruginosa and 92.35% efficiency against Staphylococcus aureus bacteria, even after 50 washing cycles. Comparatively, the PAA-PANI textile outperforms its PANI counterpart by achieving an astounding 80% scavenging activity rate, whereas the latter only displayed a rate of 3.22%. This result suggests a solid integration of PAA-PANI into the textile, leading to sustainable antioxidant release. The successful cross-linking of PAA-PANI in textiles holds significant implications for various industries, offering a foundation for the development of wearable textiles with unprecedented antibacterial durability and electrical stability. This breakthrough opens new avenues for combating infectious diseases and enhancing the performance of wearable technologies.

Inflammation and physical activity in multiple sclerosis patients. A systematic review and meta-analysis

OBJECTIVES

Due to the inflammatory nature of multiple sclerosis (MS), the most widely used therapeutic approach targets the immune response but can comprise side effects (e.g. secondary immunosuppression). For these reasons, among non-pharmaceutical interventions without known side effects, physical activity (PA) gained importance because it is feasible, safe and a supportive complementary treatment strategy to alleviate symptoms in MS subjects. Consequently, the main aim of this systematic review is to analyze the effect of PA protocols, as a complementary therapy, on inflammatory status in MS patients.

METHODS

Four electronic databases (PubMed, Embase, CINAHL, and Cochrane CENTRAL) were systematically searched up to 01 June 2023 (Prospero Protocol ID=CRD42021244418). The refined search strategy was based on three concepts: "MULTIPLE SCLEROSIS" AND "PHYSICAL ACTIVITY" AND "INFLAMMATION".

RESULTS

three main findings emerged: 1) untrained subjects showed a negative modulation of inflammatory biomarkers concentrations when compared to trained people (-0.74, 95 %C.I.-1.16, -0.32); 2) training modulated positively inflammatory biomarkers (+0.47, 95 %C.I. 0.24,0.71); 3) Aerobic PA protocol enhance higher positive influence on inflammation.

CONCLUSIONS

Persistent, low-grade inflammation in MS could be upregulated by non-pharmacological complementary therapies, in particular by regular aerobic PA that could reduce and positively modulate inflammation.

What moves truck drivers? A person-centered perspective on workplace physical activity promotion

Objectives. In developing physical activity (PA) promotion measures in the workplace, individual needs of the target groups must be considered. For this reason, this study aimed to qualitatively identify the individual needs for an increase of PA in truck drivers, representing a neglected working group in terms of PA promotion. Methods. Semi-structured interviews were conducted (N = 19; mean age 50.5 years, SD 11.4 years; 10.5% female). The interview guide was based on the COM-B model to identify needs related to PA behavior in terms of capabilities, opportunities and motivation. The interviews were transcribed and coded by two independent investigators. Results. Altogether, the codes encompassed 395 statements, and the code system contained 14 codes. Three additional codes described further individual needs related to other health behaviors (nutrition, recreation) or external incentives for health interventions. Conclusion. The results reveal a variety of needs that are fundamental to the development of PA-promoting interventions for truck drivers. These needs appear to be closely linked, so a combination of capabilities, opportunities and/or motivation should be considered when developing holistic interventions. An example would be linking automatic motivation and psychological capabilities that encompass motivational techniques combined with information for psychoeducation of truck drivers.

A Workplace Health Promotion Program for a Predominantly Military Population: Associations with General Health, Mental Well-Being and Sustainable Employability

Due to the globally increasing life expectancies, many countries are raising their official retirement age to prevent labor shortages and sustain retirement systems. This trend emphasizes the need for sustainable employability. Unhealthy lifestyles pose a risk to sustainable employability as they contribute to chronic diseases and decreased productivity. Workplace Health Promotion (WHP) programs have gained attention as a strategy to enhance employee health and well-being. The Netherlands Armed Forces, a unique employer with demanding psychological and physical requirements, was used as a case study to investigate the associations of a WHP Program with workers health and sustainable employability. The program offered tailor-made guidance to participants (N = 341) through individual coaching trajectories. The program's impact was evaluated by measuring self-reported health, mental well-being, and sustainable employability over a 6-month period. Results indicated significant improvements across all these dimensions after participation in the program. This study provides valuable insights into the benefits of tailor-made WHP programs. While this was an observational study without a control group, this study supports the importance of incorporating individualized approaches in WHP initiatives to foster positive outcomes in health and sustainable employability.

Effects of different nutrition interventions on sarcopenia criteria in older people: A study protocol for a systematic review of systematic reviews with meta-analysis

BACKGROUND

Sarcopenia, a subject of extensive research, has led to numerous clinical trials and systematic reviews (SR). These reviews aid healthcare professionals by summarizing results and conducting meta-analyses, enhancing reliability. However, the abundance of reviews complicates decision-making on sarcopenia management. To address this, SR of SR have emerged, consolidating data from various sources into comprehensive documents.

OBJECTIVE

To assess the isolated impact of dietary interventions on sarcopenia's diagnostic criteria for older individuals.

METHODS

A study protocol for a SR of SR, following Cochrane and PRISMA recommendations. The search strategy includes the MeSH 'sarcopenia' and its subheadings; 'aged' and its subheadings; 'nutrition' and its subheadings; and filter 'systematic review', performed at main databases. Selected studies must include older adults, submitted to nutritional interventions compared to control groups. Quantitative analyses will use inverse variance statistic method (random effects); the effect measures mean difference. Heterogeneity measured with Q-Test.

RESULTS

The results of this SR of SR may provide valuable information about the sarcopenia treatment, deepening the knowledge about.

CONCLUSION

This protocol is reproducible, requires low cost and personnel, and may allow a higher understanding on sarcopenia treatment and management on older people.