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Work-related stress significantly jeopardizes employees' physical and mental health due to the considerable time they spend at work. Smartphone-based interventions provide a promising solution, eliminating traditional face-to-face interventions' barriers. However, the elements that influence workers' intentions to use this still remain unexplored. This study explores the link between health belief model (HBM) and technology acceptance model (TAM) factors. In this study, 336 Italian workers (64% female) answered an online questionnaire. We employed a structural equation model (SEM) to analyze the data. The results unveiled an indirect relationship: individuals perceiving health risks were more inclined to use stress-management apps, mediated by perceived utility (PU). This study underscores the significant potential of integrating the HBM with the TAM in predicting users' preparedness for smartphone-based health interventions. These findings not only hold substantial value but also illuminate a path forward for professionals and organizations, offering insights to tailor and optimize smartphone tools for stress management and the promotion of workplace well-being. Ultimately, this research paves the way for the cultivation of healthier work environments, marking a noteworthy contribution to the field.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10705996 | PMC |
http://dx.doi.org/10.3390/healthcare11233030 | DOI Listing |
J Dent Educ
September 2025
Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, P. R. China.
Background: Virtual reality (VR) and artificial intelligence (AI) technologies have advanced significantly over the past few decades, expanding into various fields, including dental education.
Purpose: To comprehensively review the application of VR and AI technologies in dentistry training, focusing on their impact on cognitive load management and skill enhancement. This study systematically summarizes the existing literature by means of a scoping review to explore the effects of the application of these technologies and to explore future directions.
J Epidemiol
September 2025
Faculty of Sport Sciences, Waseda University.
Background: Brief measures of 24-hour movement behaviors are needed to easily evaluate their durations. The present study investigated the criterion validity and test-retest reliability of a brief self-report instrument to assess 24-hour movement behaviors.
Methods: A paper-based self-administered questionnaire was used to assess sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with four items in 35 healthy adults.
Environ Res
September 2025
Materials Science, Engineering, and Commercialization (MSEC) Program, Texas State University, San Marcos, TX-78666, USA; Department of Engineering Technology, Texas State University, San Marcos, TX-78666, USA.
Fly ash (FA) landfills are overflowing with materials, and unexplored waste streams like waste spent garnet (WSG) and waste foundry sand (WFS) are often dumped in onsite storage spaces, limiting land availability for future use and exacerbating environmental concerns related to waste disposal. Therefore, this research proposes recycling FA to produce reclaimed FA (RFA) as a binder, replacing 40-60% of ground granulated blast furnace slag (GGBFS) and 30-50% of river sand (RS) with WSG and WFS to produce geopolymers. The performance of geopolymers was assessed under different curing regimes, including ambient-temperature curing (ATC), ambient-temperature water curing (AWC), high-temperature curing (HTC), and high-temperature water curing (HWC).
View Article and Find Full Text PDFInt Dent J
September 2025
Department of Periodontology, Oral Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences, Charité-University Medicine Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Department of Conservati
Introduction And Aims: Artificial intelligence (AI) is transforming dental care by enhancing diagnostic accuracy, efficiency, and patient experience. This study aimed to assess dental patients' acceptance, perceptions, and concerns regarding AI-powered diagnosis using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework through structural equation modelling (SEM).
Methods: A cross-sectional study was conducted among dental patients at King Saud University Dental Hospital, Riyadh.
Sci Total Environ
September 2025
Center for Climate and Carbon Cycle Research, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; Division of Energy & Environment Technology, KIST School, University of Science and Technology, Seoul 02792, Republic of Korea. Electronic address:
Neonicotinoid insecticides have been identified as significant contributors to the decline of pollinators. To evaluate potential exposure of pollinators to neonicotinoids in South Korea, 79 honey samples and 27 pollen samples were obtained from agricultural, mountain, and urban areas. These samples were analyzed for 17 compounds, including neonicotinoids and their metabolites using liquid chromatography coupled with mass spectrometry.
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