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The Effects of Self-Monitoring Using a Smartwatch and Smartphone App on Stress Awareness, Self-Efficacy, and Well-Being-Related Outcomes in Police Officers: Longitudinal Mixed Design Study.
JMIR Mhealth Uhealth
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Department of Learning and Workforce Development, The Netherlands Organisation for Applied Scientific Research, Soesterberg, Netherlands.
Background: Wearable sensor technologies, often referred to as "wearables," have seen a rapid rise in consumer interest in recent years. Initially often seen as "activity trackers," wearables have gradually expanded to also estimate sleep, stress, and physiological recovery. In occupational settings, there is a growing interest in applying this technology to promote health and well-being, especially in professions with highly demanding working conditions such as first responders.
View Article and Find Full Text PDFTemporal trends in biosecurity in Irish pig herds using a standardized scoring system.
Ir Vet J
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Animal Health Ireland, 4-5 The Archways, Carrick On Shannon, Co. Leitrim, N41 WN27, Ireland.
Background: Biosecurity measures are crucial to the introduction and spread of pathogens both within and between farms. External biosecurity focuses on preventing pathogens from entering or leaving the farm, while internal biosecurity aims to limit or stop the spread of pathogens within the farm. Implementing biosecurity measures not only protects animals from disease but also has positive effects on productivity, welfare and farm profitability.
View Article and Find Full Text PDFSilicosis prevalence and related issues in India: a scoping review.
J Occup Med Toxicol
January 2025
Indian Council of Medical Research-National Institute for Implementation Research on Non-Communicable Diseases, Jodhpur, 342005, India.
Background: Silicosis remains a major occupational health challenge in India. This review systematically examines the prevalence, risk factors, regional differences, and diagnostic tools specific to India's high-risk industries. Additionally, it assesses policy gaps and offers insights from diverse clinical and qualitative studies, aiming to inform targeted public health interventions and support the development of effective occupational health policies.
View Article and Find Full Text PDFTAD-SIE: sample size estimation for clinical randomized controlled trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator.
Trials
January 2025
Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA.
Background: Phase-3 clinical trials provide the highest level of evidence on drug safety and effectiveness needed for market approval by implementing large randomized controlled trials (RCTs). However, 30-40% of these trials fail mainly because such studies have inadequate sample sizes, stemming from the inability to obtain accurate initial estimates of average treatment effect parameters.
Methods: To remove this obstacle from the drug development cycle, we present a new algorithm called Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator (TAD-SIE) that powers a parallel-group trial, a standard RCT design, by leveraging a state-of-the-art hypothesis testing strategy and a novel trend-adaptive design (TAD).
Construct validity and responsiveness of clinical upper limb measures and sensor-based arm use within the first year after stroke: a longitudinal cohort study.
J Neuroeng Rehabil
January 2025
Luzerner Kantonsspital, University, Teaching and Research Hospital, University of Lucerne, Lucerne, Switzerland.
Background: Construct validity and responsiveness of upper limb outcome measures are essential to interpret motor recovery poststroke. Evaluating the associations between clinical upper limb measures and sensor-based arm use (AU) fosters a coherent understanding of motor recovery. Defining sensor-based AU metrics for intentional upper limb movements could be crucial in mitigating bias from walking-related activities.
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