We aimed to identify short and long-term trajectories of self-rated health (SRH) and physical working capacity during the retirement transition, and investigate whether work-related factors and social class predict belonging to these trajectories. We used the representative, biennial Swedish Longitudinal Occupational Survey of Health (SLOSH) 2006–2018. We applied group-based trajectory modeling with B-spline smoothers to model trajectories of SRH (n = 2,183) and physical working capacity (n = 2,152) during the retirement transition. Multinomial logistic regression analyses were conducted to investigate trajectory belonging by work-related factors and social class. There was a small “honeymoon effect” in SRH for the total sample. We found four trajectories of SRH and five of physical working capacity. The large majority sustained excellent or good SRH and physical working capacity throughout the study period. Almost 6% had Fairly poor SRH and physical working capacity starting from years before retirement, which remained throughout the study period. High job demands, low job control, adverse physical working conditions, and being in manual occupation increased the likelihood of belonging to the trajectory groups Deteriorating or Fairly poor when compared with the Excellent trajectory group for both SRH and physical working capacity. Our findings suggest that for most people health status is already established some years’ preretirement and maintained for years after retirement, except a short improvement in SRH in accordance with a honeymoon effect. In order to improve health and employability, interventions focusing on working environment should be aimed at younger and midlife employees as well as older workers.

Large Language Models (LLMs) have revolutionized natural language processing but present significant technical and legal challenges when confronted with the General Data Protection Regulation (GDPR). This paper examines the complexities involved in reconciling the design and operation of LLMs with GDPR requirements. In particular, we analyze how key GDPR provisions—including the Right to Erasure, Right of Access, Right to Rectification, and restrictions on Automated Decision-Making—are challenged by the opaque and distributed nature of LLMs. We discuss issues such as the transformation of personal data into non-interpretable model parameters, difficulties in ensuring transparency and accountability, and the risks of bias and data over-collection. Moreover, the paper explores potential technical solutions such as machine unlearning, explainable AI (XAI), differential privacy, and federated learning, alongside strategies for embedding privacy-by-design principles and automated compliance tools into LLM development. The analysis is further enriched by considering the implications of emerging regulations like the EU’s Artificial Intelligence Act. In addition, we propose a four-layer governance framework that addresses data governance, technical privacy enhancements, continuous compliance monitoring, and explainability and oversight, thereby offering a practical roadmap for GDPR alignment in LLM systems. Through this comprehensive examination, we aim to bridge the gap between the technical capabilities of LLMs and the stringent data protection standards mandated by GDPR, ultimately contributing to more responsible and ethical AI practices.

Antimicrobial resistance (AMR) is a critical and growing worldwide public health issue compromising effective disease prevention and management strategies in a range of bacterial, parasitic, viral, and fungal diseases. Despite efforts to counteract excessive use and overreliance on antibiotics, cases of resistant infection rise, and an imperative for accelerated development in diagnostics, disease surveillance, and therapeutic approaches arises. In this chapter, an intersection of technological advances in genomics, machine learning (ML) technology, and personalized approaches will be discussed in relation to countering AMR. With integration of genomic data and sophisticated computational algorithms, medical professionals and scientists stand to make rapid inferences about resistant trends and tailor individualized, specific courses of therapy. There is a critical need to move such techniques out of laboratory settings and into real-life practice to minimize dissemination of resistant pathogens, improve patient care, and mitigate worldwide consequences of AMR.

Background  Numerous studies on work from home during the Covid-19 pandemic link it to reduced physical activity, increased alcohol use, and weight gain, mainly under stringent pandemic restrictions. We investigated whether changes in work-from-home levels from pre to late pandemic are associated with health behaviours during the late pandemic, controlling for family and work factors.

Methods  Using 8195 participants from the 2022 wave of the Swedish Longitudinal Survey of Health, we used logistic regression to analyze the associations between changes in the amount of remote work from pre-pandemic to late pandemic, and physical inactivity, problem drinking, and obesity. Models were first adjusted for age and sex; then for civil status, having children under the age of 12 years at home, and occupation; and finally for job stress, work-family conflict, and family-work conflict.

Results  Individuals who decreased work from home had 17% higher odds of being physically inactive (fully adjusted model OR: 1.17, 95% CI: 1.00–1.37) compared to those who did not change their amount of work from home. Changes in work from home were not statistically significantly associated with problem drinking or obesity. However, there was a tendency for those who decreased work from home to have higher odds of obesity (OR: 1.08, 95% CI: 0.94–1.24), although the association did not reach statistical significance.

Conclusions  These findings suggest, although the associations were weak, that work from home could offer opportunities for individuals to be more conscious of their health and to engage in healthier behaviours.

Despite extensive research on organisational justice, it remains unknown how organisational justice aspects interrelate and co-occur in individuals. Using a person-centred approach, and latent profile analysis specifically, we examine profiles of procedural, distributive (as measured by effort-reward imbalance), interpersonal, informational, and overall justice. Profiles are validated with covariates as well as work and health outcomes cross-sectionally and prospectively over time. Data from the Swedish Longitudinal Occupational Survey of Health (SLOSH) from 2018 (n = 9,756) and 2020 (n = 7,542) were used. Based on data from 2018, we found four different profiles: an ‘Average justice’ profile, a ‘High justice’ profile, a ‘Low justice’ profile and a ‘Low process-focused justice’ profile. The ‘Low justice’ profile, especially, was comprised of a high proportion of women, lower educated, public-sector employees and shift workers. The ‘Low justice’ profile showed high levels of intentions to leave, suboptimal general health and low job satisfaction in 2018 and 2020. Results highlight the importance of organisational justice to maintain a healthy and motivated workforce and indicate that low levels of procedural justice might partly be mitigated by high levels of interactional justice. The study responds to the appeal by justice researchers to consider the experiential nature of justice perceptions and underscores the merit of moving beyond variable-oriented methods.

Introduction: The COVID-19 pandemic was a disruptive event that forced employees worldwide to quickly shift to telework. This qualitative study explored employees’ experiences of telework during and after the COVID-19 pandemic in Sweden, where a more liberal approach to restrictions and telework was taken, focusing on changes in perceptions of work, work–nonwork interplay, relationships, wellbeing, health, and work–life balance.

Methods: Semi-structured interviews, which were transcribed verbatim using Amberscript, were conducted with 16 participants from the SLOSH-Corona survey, who teleworked during the COVID-19 pandemic and continued to telework to varying extent after the removal of restrictions.

Results: Reflexive thematic analysis, based on Braun and Clarkes six step, identified five main themes: (1) having what it takes: the hoffice; (2) all work and no play: efficacy and loneliness; (3) faces of flexibility: freedom and balancing boundaries; (4) leadership challenges: bridging the gap between employee- and organizational needs; (5) survive or thrive? Telework and quality of life. Overall, telework was associated with high work efficacy. Additionally, increased work flexibility combined with effective management of work-nonwork boundary and strong supervisor support improved work-life balance, wellbeing, and quality of leisure time. However, work intensification was also high, as well as work-related isolation, ergonomic health problems, and sickness presence.

Discussion: For future telework to be sustainable, organizations would benefit from providing employees with home-based work supplies, and in particular, implementing leadership based on trust, enhanced work-related social connection, and organizational norms supporting clear work-nonwork boundaries.

Introduction: The objective of this study was to investigate the bi-directional associations between experienced and witnessed gender-based harassment (GBH) on the one hand, and depressive symptoms and psychological treatment on the other, in an occupational setting. GBH are behaviors that derogate, demean, or humiliate an individual based on his or her gender.

Methods: The analyses were based on data from the Swedish Longitudinal Occupational Survey of Health at 2018 (T1) and 2020 (T2), including 6,679 working participants (60.3% women) with a majority in the age range of 45–64. Using cross-lagged structural equational models, we analyzed experienced and witnessed GBH in relation to depressive symptoms and having received psychological treatment (talked to a counselor or psychological professional) over time.

Results: Our results showed that neither experienced nor witnessed GBH was prospectively associated with depressive symptoms or psychological treatment over two years. Both higher levels of depressive symptoms (β = 0.002, p ≤ 0.001) and having received psychological treatment (β = 0.013, p = 0.027) weakly predicted experiences of GBH over time. Having received psychological treatment was furthermore weakly associated with witnessed GBH (β = 0.019, p = 0.012).

Discussion: In conclusion, the hypothesized associations between exposure to GBH and mental health outcomes were not statistically significant, while a weak reverse association was noted. More research addressing bidirectional associations between GBH and mental health outcomes are needed.

Organizational injustice is known to negatively affect employees' health and to increase the risk for sickness absence. The negative health effects are also known to be more pronounced in uncontrollable, strain increasing, situations at the workplace. This study tests whether locked-in status, i.e., being stuck in a non-preferred workplace, modifies the associations between injustice perceptions and frequent (>= 2 times/yr) and long (>= 8 days/yr) sickness absence. The sample contained 2631 permanent employees from the Swedish Longitudinal Occupational Survey of Health in 2018 and 2020. Multigroup structural equation modelling was used to compare the proposed relationships between employees who are locked-in in their workplace and employees who are not. We found a positive association between higher overall organizational injustice and long sickness absence two years later, with the association being stronger for the locked-in group. Also, higher injustice was associated with more frequent sickness absence, but only for those not being locked-in.

Employees being locked-in seem to have higher risk of long-term sickness absence which might indicate more serious health problems. Employees not being locked-in more often take short sickness absence, which could indicate a coping behaviour to handle high strain. This study adds knowledge to the role of locked-in status as a moderator in the much-studied relationship between organizational justice and health as well as to the multiple reasons underlying sickness absence.

Background: The aim of this paper was to investigate if job demands, decision authority, and workplace violence mediate the association between employment in the health and social care industry and register-based sickness absence. Methods: Participants from the Swedish Longitudinal Occupational Survey of Health who responded to questionnaires in 2006–2016 (n = 3951) were included. Multilevel autoregressive cross-lagged mediation models were fitted to the data. Employment in the health and social care industry at one time point was used as the predictor variable and register-based sickness absence >14 days as the outcome variable. Self-reported levels of job demands, decision authority, and exposure to workplace violence from the first time point were used as mediating variables. Results: The direct path between employment in the health and social care industry and sickness absence >14 days was, while adjusting for the reverse path, 0.032, p = 0.002. The indirect effect mediated by low decision authority was 0.002, p = 0.006 and the one mediated by exposure to workplace violence was 0.008, p = 0.002. High job demands were not found to mediate the association. Conclusion: Workplace violence and low decision authority may, to a small extent, mediate the association between employment in the health and social care industry and sickness absence.

Growing evidence indicates that retiring from paid work is associated, at least in the short-term, with dramatic reductions in sleep difficulties and more restorative sleep. However, much is still not known, in particular how universal these improvements are, how long they last, and whether they relate to the work environment. A methodological challenge concerns how to model time when studying abrupt changes such as retirement. Using data from Swedish Longitudinal Occupational Survey of Health (n = 2,148), we studied difficulties falling asleep, difficulties maintaining sleep, premature awakening, restless sleep, a composite scale of these items, and non-restorative sleep. We compared polynomial and B-spline functions to model time in group-based trajectory modelling. We estimated variations in the individual development of sleep difficulties around retirement, relating these to the pre-retirement work environment. Reductions in sleep difficulties at retirement were sudden for all outcomes and were sustained for up to 11 years for non-restorative sleep, premature awakening, and restless sleep. Average patterns masked distinct patterns of change: groups of retirees experiencing greatest pre-retirement sleep difficulties benefitted most from retiring. Higher job demands, lower work time control, lower job control, and working full-time were work factors that accounted membership in these groups. Compared to polynomials, B-spline models more appropriately estimated time around retirement, providing trajectories that were closer to the observed shapes. The study highlights the need to exercise care in modelling time over a sudden transition because using polynomials can generate artefactual uplifts or omit abrupt changes entirely, findings that would have fallacious implications.