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Objective: To assess changes in cardiovascular disease risk factors during a 3-year follow-up among 57 rotating shift workers and 29 day workers in industry.
Methods: We collected demographics by questionnaire, examined blood pressure, heart rate, pulse wave velocity, carotid media thickness, and maximal oxygen uptake. We assessed blood samples for determination of lipids, glycosylated hemoglobin, C-reactive protein, markers of inflammation, and particle concentrations/respirable dust. Baseline comparisons were analyzed using logistic regression (plaque) and linear regression for all other outcomes. We applied mixed models to assess differences in change in health outcomes between the shift workers and the day workers.
Results: At baseline, the adhesion molecules soluble vascular cell adhesion molecule 1 and soluble P-selectin were elevated among the shift workers compared with that of the day workers. There was a significant difference in change in pulse wave velocity between shift workers (1.29-m/s increase) and day workers (0.11-m/s increase) over the 3-year follow-up. Respirable dust levels were below the Norwegian occupational exposure limit.
Conclusions: Shift work in industry is associated with arterial stiffening reflecting increased risk for future cardiovascular disease. More uncertainly, we found some support for systemic inflammation.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090345 | PMC |
http://dx.doi.org/10.1097/JOM.0000000000002779 | DOI Listing |
Nat Food
September 2025
Charles H. Dyson School of Applied Economics and Management, Cornell University, Ithaca, NY, USA.
The traditional structural transformation narrative emphasizes intersectoral labour reallocation out of agriculture, ignoring whether workers exit agrifood value chains or merely migrate within them. Here we decompose multiregional input-output table data into industry- and country-specific annual labour value-added estimates by final consumer market segment, matching them with industry-specific employment data to estimate average worker compensation. Using data covering most of the global economy over 1993-2021, we report ten stylized facts about labour reallocation amid structural transformation.
View Article and Find Full Text PDFNihon Hoshasen Gijutsu Gakkai Zasshi
September 2025
Department of Radiation Oncology, Koritsu Tatebayashi Kosei General Hospital.
Purpose: The promotion of task-shifting and task-sharing to facilitate work style reform for physicians has enabled radiological technologists (RTs) to perform primary matching in image-guided radiotherapy. The purpose in this study is to evaluate the position matching accuracy of RTs and radiation oncologist (ROs).
Methods: Position matching was performed by four RTs and two ROs (RO-A and B).
J Safety Res
September 2025
Department of Material Science and Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
Introduction: The construction industry is known to be among the most dangerous, given the rate of incidents and hazards to workers. However, with the shift from conventional to sustainable construction, green building features introduce new concerns for on-site hazards that put workers at higher risk.
Method: This study conducted a review of existing literature to identify green building features associated with hazards or otherwise having health and safety implications for the construction industry.
J Safety Res
September 2025
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Objective: Despite growing interest in utilizing firefighter health and safety data to reduce injuries and fatalities, there is little evidence on attitudes towards data. We examined fire service perceptions of data to inform future policies and practices.
Methods: We conducted focus groups and interviews with career firefighters, union representatives, and department leaders in Maryland and Virginia; and interviews with national leaders (March-November 2023).
Metab Syndr Relat Disord
September 2025
Yale School of Medicine, New Haven, Connecticut, USA.
Poor sleep has been identified as a strong risk factor for metabolic syndrome. Shift workers, who often experience reduced and misaligned sleep due to nighttime work schedules, are particularly susceptible to both sleep disturbances and metabolic syndrome. However, the interplay among shift work, sleep disturbances, and metabolic syndrome remains insufficiently explored.
View Article and Find Full Text PDF