Climate change is already not only a global problem, but also poses a growing risk to the health and safety of workers. For thisreason, this study analyses the measures taken as part of the ADAPTHEAT (Led by Fundación 1º de Mayo (Spain), with participation fromFondazione Di Vittorio (Italy), ELINYAE (Greece), Vrije Universiteit Amsterdam (Netherlands), and the Hungarian Trade Union ConfederationMASZSZ (Hungary)) project in Hungary to mitigate heat-related risks in the workplace. The research focuses on legislation and employers’practices, which were analysed on the basis of risk assessments, collective agreements and case studies. The findings highlight thatworkplace heat stress is not only a concern in traditionally high-risk sectors such as agriculture but affects nearly all workplaces.Despite recent legislative changes in Hungary, the regulatory framework and employer obligations remain rather general. Therefore, raisingawareness among employers and employees remains essential. The study also emphasizes the important role of trade unions and health andsafety representatives in advocating for improved protection.

The prediction of physiological strain is essential for the safety of personnel in high-risk environments especially when wearing personalprotective equipment (PPE). This study aimed to develop a usability-enhanced variant of the Heat Strain Decision Aid (HSDA), named HSDA-FL(FAME Lab), by implementing automatic workload estimations, alternative environmental inputs, and a revised initialization delay logic. Thesecond aim was to evaluate whether these modifications preserved the original model’s validity. The third aim was to evaluate theperformance of HSDA, HSDA-FL, and the PHS-FL models while wearing chemical, biological, radiological, and nuclear (CBRN) PPE. Elevenacclimatized participants completed a 40-min simulated CBRN reconnaissance scenario involving walking and inspection tasks. The HSDA-FL wastested with both the original and the revised delay logic, demonstrated significantly lower residual errors than the original HSDA(p<0.001), with the revised delay logic variant achieving the highest accuracy (MAE=0.151°C,RMSE=0.191°C, bias=0.011°C). In contrast, the PHS-FL performed significantly worse than all HSDA-based models(p<0.001). These findings confirm that HSDA-FL maintains and slightly exceeds the predictive validity ofthe original HSDA while improving usability, whereas PHS-FL was not deemed sufficiently reliable for use with CBRN clothing.

The aim of this work is to identify occupational situations that are at risk and/or encourage alcohol use, whatever the type of consumption. This is a review of the literature in search of articles published between 1989 and August 2019, dealing with the effects of work situations on alcohol consumption. A qualitative analysis was conducted on the articles meeting the selection criteria, and the data were summarised based on the main risk factors identified. There is some evidence supporting work organisation as being at risk of alcohol consumption. This concerns mainly shift work and long-working hours, although the relation with drinking behaviours seems to be conflicting. Social relations and interactions within the workplace may induce (or be at risk of) alcohol consumption, particularly in the case of tolerant standards. The results regarding work stress are contradictory. Data regarding physical workload are scarce. Most studies addressed alcohol consumption as a public health issue, in the labour force, and not as an occupational health issue focused on work situations and conditions. Yet this knowledge may help the occupational physician to question the work environment, in order to prevent this risk on a collective technical level and on an individual case-by-case basis.

Research on worker exposure to volatile organic compounds (VOCs) during asphalt paving operations remains significantly limited, andregulatory frameworks governing such exposures are also insufficient. Previous studies have primarily focused on a limited number of majorVOCs. However, this study employs high-resolution, high-performance Proton Transfer Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS)to comprehensively evaluate exposure levels to 25 different VOCs. Additionally, Monte Carlo simulations were utilized to assess bothnon-carcinogenic and carcinogenic risks, thereby providing foundational data for future risk mitigation strategies. During asphalt pavingoperations, the concentrations of most VOCs increased by a factor of 2 to 10 compared to background levels. Nevertheless, none of themeasured compounds exceeded 8-h time-weighted average occupational exposure limits; however, acrolein exceeded the ceiling threshold limitvalue established by the American Conference of Governmental Industrial Hygienists, indicating the need for peak-exposure control. Thenon-carcinogenic risk assessment revealed that the maximum Hazard Quotient (HQ) values for acetaldehyde, 1,3-butadiene, and acroleinexceeded 1, indicating potential adverse health effects. Furthermore, the Lifetime Cancer Risk (LCR) values for benzene and 1,3-butadienesurpassed established safety thresholds, confirming a significant increase in carcinogenic risk. Furthermore, this study proposes measuresto reduce exposure to hazardous substances.

There has been a growing emphasis on the post-retirement work of the elderly, which can either be beneficial or pose risks to their mentalhealth. This study aimed to compare the prevalence of depression and anxiety, as well as the level of life satisfaction, among working vs.non-working retirees. In a cross-sectional study, 270 retirees aged 60 yr or older were enrolled; of them, 122 were working and 148 werenot. An interview-based questionnaire was utilized, incorporating sociodemographic, occupational, and clinical data, along with the PatientHealth Questionnaire-9, the Generalized Anxiety Disorder-7 scale, and the Satisfaction with Life Scale. Compared to non-working retirees,working retirees exhibited lower rates of moderate to severe depression (39.3% vs. 67.0%) and anxiety (30.3% vs. 59.5%), as well as a higherrate of life satisfaction (59.8% vs. 41.2%). In the multivariate regression analysis, non-working retirees were more likely to experiencemoderate to severe depression and anxiety, with AORs of 3.4 and 3.9, respectively, while continuing to work after retirement was anindependent predictor of satisfaction with life, with an AOR of 1.8. Therefore, recruiting and retaining older workers, while consideringtheir physical and mental capabilities, is recommended, along with mental health screening.

Occupational stress and burnout are increasingly recognized as major contributors to reduced productivity in modern workplaces. In thisstudy, we explored the association between occupational stress and health-related productivity loss through the mediating effect of burnoutsyndrome in Korean workers. This study was conducted using a sample of 5,050 participants from 5,553 randomly selected individuals, afterexcluding those with missing data. The key variables were measured using the Korean Occupational Stress Scale (KOSS® 19), theKorean version of the Burnout Syndrome Scale (KBOSS), and the Korean version of the Work Productivity and Activity Impairment-General Health(WPAI-GH) questionnaire. Statistical analyses were performed using generalized linear models, and mediation analysis. The results revealed asignificant association among occupational stress, burnout, and health-related productivity losses. Burnout was found to mediate therelationship between occupational stress and health-related productivity loss, with approximately 51% of the effect being mediated byburnout. Among the burnout sub-dimensions, the mediating effect of exhaustion was the highest. These results suggest that managingoccupational stress and burnout can play a crucial role in reducing health-related productivity losses.

This study aimed to investigate the circumstances, characteristics, and background factors of mental disorders within the education andlearning-support services, which is known for the frequent occurrence of mental disorders from overwork and poor psychosocial workenvironment. The study analyzed 119 cases of mental disorders and suicides in the education and learning-support services from fiscal years2010 to 2019 on the database constructed by the Japan Research Center for Overwork-Related Disorders. The results exhibit that of 119 cases,56 cases (47.1%) involved male employees while 63 cases (52.9%) involved female employees. From fiscal years 2010 to 2019, there were 43cases of psychological stress related to work among males and 55 among females. The issue of “interpersonal relationship” was significantlyhigher in the education and learning-support services than in other industrial workers. Within the category of “interpersonal relationship”the specific issue of being “(severely) harassed, bullied, or assaulted” was especially prevalent (10 cases for males and 15 cases forfemales). Moreover, male employees reported many instances of suicide attempts, and their first attempt tended to lead to a completedsuicide. Therefore, it is important to promote measures against harassment, bullying, and suicide in education and learning-supportservices.

Employees’ physical and mental health issues have intensified following the COVID-19pandemic, especially in telecommunications. Organizational wellbeing is a holisticapproach that is gaining prominence. This study aimed to investigate the level oforganizational wellbeing at the individual level and associated factors. A cross-sectionalstudy was conducted with 2,070 telecommunication workers in Thailand. Data collectionemployed a structured questionnaire comprising three sections: personal factors;occupational factors; and an organizational wellbeing assessment categorized into fivedomains including workplace physical environment and safety climate (9 items), workplacepolicies and culture (10 items), health status (10 items), work evaluation and experience(13 items), and home, community, and society (3 items). Data analysis involved bothdescriptive and inferential statistics. Bivariate analysis and multiple linear regressionwere performed. A total of 655 responses (31.6%) were collected. The mean score was 177.8(SD=22.0). The analysis reported significant factors associated with organizationalwellbeing scores comprising working more than 48 h per week (β=−5.8, 95% CI: −10.4 to−1.2) and sleeping duration of at least seven hours per day (β=4.4, 95% CI: 1.1 to 7.7).Workplaces should design wellbeing promotion programs that address these factors byencouraging adequate sleep and balancing working hours to enhance overall employeewellbeing.

In the theoretical part of this article, we provide a brief introduction to differenttypes of repeated measure designs and methods to analyze repeatedly measured data, with aparticular focus on continuous time modelling of intensive longitudinal data (ILD) withN≥1 analysis. We built on the distinction betweenwithin-person versus between-person effects, and how this is addressed in static versusdynamic models. Further, we elaborate on the distinction between discrete time dynamicmodels versus continuous time dynamic models. In particular, we deal with continuous timestructural equation models (CTSEM), and we provide a brief introduction into theunderlying math. Since smart devices have become useful tools in monitoring health, we usethe applied part of this article for explaining how to retrieveN=1 bivariate ILD from popular smart watches and how toprepare them for CTSEM (including N>1 multivariateextensions). We show how to specify a cross-lagged panel CTSEM using the R package ctsem,how to fit the specified model to the retrieved data, and how to interpret the results.Limitations of CTSEM are discussed, too. Monitoring and forecasting industrial healthrepresent important issues for organizations.

Presenteeism, among desk workers with pain can be affected by musculoskeletal disabilities (MSDs), working styles, and gender. In this study, teleworkers were defined as those who teleworked >70% of the time at home, while others were defined as non-full teleworkers. This study aimed to (1) compare the magnitude of presenteeism among four groups: male and female teleworkers with pain and male and female non-full teleworkers with pain, and (2) create a regression model of presenteeism with 66 independent biopsychosocial variables for each group. Data were collected through an anonymous online survey. Presenteeism was evaluated using the work functioning impairment scale. The 66 independent biopsychosocial variables included four disability measures, namely, stiff neck/shoulders, low back pain, and upper or lower limb problems, along with other factors relevant to presenteeism in previous studies, such as age, body mass index, comorbidities, work-related variables, pain catastrophizing, and various psychological distress measures. Data from 1,068 male non-full teleworkers, 1,043 female non-full teleworkers, 282 male teleworkers, and 307 female teleworkers were analyzed. Presenteeism was the highest among female teleworkers with pain. Furthermore, in all models, overall psychological distress, rather than the four MSD measures, was the primary contributing factor for presenteeism.