Background: Remote work allows one to work free from workplace policy, but it may negatively affect health-related behaviors such as tobacco product use and alcohol drinking. Our study aimed to investigate the association of remote work with tobacco dependence and hazardous alcohol use.
Methods: This nationwide Internet-based survey was conducted in Japan in February 2023. Using the data of 8,292 workers aged 18 - 64, frequency of remote work (0, < 1, ≥ 1 day per week), tobacco dependence based on the scores of the Tobacco Dependence Screener ≥ 5, hazardous alcohol use based on the scores of the Alcohol Use Disorders Identification Test ≥ 8 were assessed. Then, the associations of frequency of remote work with tobacco dependence and hazardous alcohol use were examined using a multivariable Poisson regression model.
Results: The percentages of remote work 0, < 1, ≥ 1 day per week were 56.6%, 9.9%, and 33.5%, respectively, whereas those of tobacco dependency and hazardous alcohol use were 11.3% and 17.9%, respectively. Remote work < 1 day per week (adjusted prevalence ratio [aPR] 1.30, 95%CI 1.07 - 1.57), and ≥ 1 per week (aPR 1.29, 95%CI 1.13 - 1.47) were associated with tobacco dependence. Further, remote work < 1 day per week (aPR 1.43, 95%CI 1.25 - 1.65), and ≥ 1 per week (aPR 1.40, 95%CI 1.27 - 1.55) were associated with hazardous alcohol use.
Conclusions: Remote workers showed higher prevalence of tobacco dependence and hazardous alcohol use. The health behavior of remote workers should be carefully monitored.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11715179 | PMC |
| http://dx.doi.org/10.1186/s12889-024-21066-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluation of an Interdisciplinary Educational Program to Foster Learning Health Systems: Education Evaluation.
JMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFDetecting anomalies in smart wearables for hypertension: a deep learning mechanism.
Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
View Article and Find Full Text PDFIn much of the northern Great Basin of the western United States, rangelands, and semi-arid ecosystems invaded by exotic annual grasses such as cheatgrass () and medusahead () are experiencing an increasingly short fire cycle, which is compounding and persistent. Improving and expanding ground-based field methods for measuring the above-ground biomass (AGB) may enable more sample collections across a landscape and over succession regimes and better harmonize with other remote sensing techniques. Developments and increased adoption of unoccupied aerial systems (UAS) and instrumentation for vegetation monitoring enable greater understanding of vegetation in many ecosystems.
View Article and Find Full Text PDFRemote sighted assistance (RSA) has emerged as a conversational assistive technology for people with visual impairments (VI), where remote sighted agents provide realtime navigational assistance to users with visual impairments via video-chat-like communication. In this paper, we conducted a literature review and interviewed 12 RSA users to comprehensively understand technical and navigational challenges in RSA for both the agents and users. Technical challenges are organized into four categories: agents' difficulties in orienting and localizing the users; acquiring the users' surroundings and detecting obstacles; delivering information and understanding user-specific situations; and coping with a poor network connection.
View Article and Find Full Text PDF"We're all in the same storm, but not all of us are in the same boat": qualitative exploration of UK response-focused civil servants experiences of working from home during COVID-19.
BMC Public Health
January 2025
Behavioural Science and Insights Unit, Evaluation & Translation Directorate, Science Group, UK Health Security Agency, Porton Down, Salisbury, UK.
Introduction: The experiences of UK Government response-focused employees, who were considered frontline workers during the coronavirus response, are missing from current literature. Meeting the demands of being on the frontline, whilst also adjusting from a normal and practiced way of working to having to work from within one's home, may bring a plethora of new barriers and facilitators associated with providing an effective pandemic response.
Method: This interview study collected and analysed data from 30 UK Civil servants who worked on the COVID-19 pandemic response from their own homes.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!