Objective: To analyse the comparative effectiveness of different health wearable-based physical activity (PA) promotion intervention strategies against each other and control for reducing body weight and body mass index (BMI) in individuals with overweight/obesity and chronic comorbidities.
Design: Systematic review and network meta-analysis (PROSPERO identifier: CRD42020158191).
Data Sources: We performed two independent searches from December 2019 to September 2020 in PubMed, MEDLINE, Scopus, Web of Science, Central Register of Controlled Trials, EMBASE and PsycINFO databases for articles published in English between 2007 and 2020.
Eligibility Criteria For Selecting Studies: Inclusion criteria were based on the PICOS framework. We included randomised controlled trials of health wearable-based interventions using two or more PA intervention arms/strategies and compared their effects on participants' body weight (kg) and BMI (kg/m) with a control group. Data were analysed using a Bayesian network meta-analysis to directly and indirectly compare the effects of the six different intervention strategies (comparators). The six comparators were: (1) control group (ie, usual care, waitlist); (2) comparison group (ie, traditional, non-health wearable PA interventions); (3) commercial health wearable-only intervention (eg, Fitbit, Polar M400); (4) research grade health wearable-only intervention (ie, accelerometers or pedometers); (5) multicomponent commercial health wearable intervention (eg, Fitbit + nutrition counselling); and (6) multicomponent research grade health wearable intervention. The results were reported as standardised mean differences (SMDs) with associated 95% credible intervals (CrIs).
Results: From 641 screened records, 31 studies were included. For body weight reduction in individuals with overweight/obesity and chronic comorbidities, accelerometer/pedometer-only (SMD -4.44, 95% CrI -8.94 to 0.07) and commercial health wearable-only (SMD -2.76, 95% CrI -4.80 to -0.81) intervention strategies were the most effective compared with the three other treatments and control. For BMI reduction, multicomponent accelerometer/pedometer (SMD -3.43, 95% CrI -4.94 to -2.09) and commercial health wearable-only (SMD -1.99, 95% CrI -4.95 to 0.96) intervention strategies were the most effective compared with the other four conditions.
Conclusion: Health wearable devices are effective intervention tools/strategies for reducing body weight and BMI in individuals with overweight/obesity and chronic comorbidities.
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http://dx.doi.org/10.1136/bjsports-2020-103594 | DOI Listing |
Cureus
December 2024
Cultural Technology and Communication, Intelligent Systems Lab, University of the Aegean, Mytilene, GRC.
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental condition marked by movement hyperactivity, often persisting into adulthood. Understanding the movement patterns associated with ADHD is crucial for improving diagnostic precision and tailoring interventions. This study leverages the HYPERAKTIV dataset, which includes high-resolution temporal data on motor activity from people diagnosed with ADHD.
View Article and Find Full Text PDFSAGE Open Nurs
January 2025
Department of Nursing, Surgical Sciences, Sapporo Medical University, Sapporo, Japan.
Introduction: Sleep disturbances among nurses engaged in night duty and their spouses need to be improved to ensure their ability to provide care and perform daily tasks. Therefore, an objective investigation is needed to establish a sleep improvement strategy.
Objective: To investigate the utility of a sleep tracker to assess sleep quality in nurses and spouses.
RSC Adv
January 2025
State Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology Dalian 116024 P. R. China
The ability to convert moisture signals into electrical signals through contactless control underpins a wide range of applications, including health monitoring, disaster warning, and energy harvesting. Despite its potential, the effective utilization of low-grade energy remains challenging, as it often requires complex device architectures that limit scalability and integration, particularly in wearable technologies. Here, we present a soft, flexible moisture-electric converter made from cellulose nanocrystals and polyvinyl alcohol composite films, designed for a novel touchless interactive platform.
View Article and Find Full Text PDFEpilepsia
January 2025
Department of Neurophysiology, Danish Epilepsy Center, Dianalund, Denmark.
Seizure detection devices (SDDs) offer promising technological advancements in epilepsy management, providing real-time seizure monitoring and alerts for patients and caregivers. This critical review explores user perspectives and experiences with SDDs to better understand factors influencing their adoption and sustained use. An electronic literature search identified 34 relevant studies addressing common themes such as usability, motivation, comfort, accuracy, barriers, and the financial burden of these devices.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Nanophotonics and Plasmonics Laboratory, School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha 752050, India.
Thermal and stretching characteristics are crucial variables in healthcare, robotics, and human-machine interaction applications. Here, we present a single-mode fiber-based, balloon-shaped, single- and dual polymer-layered optical wearable (PLOW) system that can sense both temperature and stretching. These two types of PLOWs are compared in terms of their detection performance across all criteria.
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