Search Results (366)

In the healthcare sector, burnout has become a critical concern due to the combination of high job demands and sustained emotional strain. Burnout is closely linked to systemic and organizational pressures, and psychosocial risks are widely recognized as central determinants of burnout. Within this multidimensional framework, Work Values are understood as an integral component of psychosocial risks, shaping how professionals interpret and respond to these pressures. The present study aims to analyze whether emotional intelligence moderates the relationship between psychosocial risk factors, namely work values conflict and burnout, among healthcare professionals. A cross-sectional online survey, based on a snowball sample with 205 healthcare professionals, was performed. Measurement instruments included the Burnout Assessment Tool (BAT-23), used to assess burnout dimensions; the Health and Work Survey (ERPS_INSAT), used to evaluate psychosocial risk factors; and the Wong and Law Emotional Intelligence Scale (WLEIS-P), used to assess emotional intelligence. A moderation analysis using the PROCESS macro (model 1) was conducted to examine whether emotional intelligence moderates the relationship between psychosocial risk, work values factor, and burnout among healthcare professionals. The results show that the psychosocial risk–work values dimension was a significant positive associated factor of burnout (total scale: B = 0.27, p < 0.001; Exhaustion: B = 0.33, p < 0.001; Mental distance: B = 0.32, p < 0.001; Cognitive Impairment: B = 0.14, p < 0.001; Emotional Impairment: B = 0.30, p < 0.001), indicating that higher perceived risk was associated with higher burnout symptoms. Emotional intelligence did not significantly predict burnout on its own (total scale: B = 0.07, p > 0.05; Exhaustion: B = 0.09, p > 0.05; Mental Distance: B = 0.11, p > 0.05; Cognitive Impairment: B = 0.11, p > 0.05; Emotional Impairment: B = −0.04, p > 0.05). The interaction term (psychosocial risk = work values × emotional intelligence) was not significant, suggesting that no significant moderating effect was detected in this sample for emotional intelligence in the relationship between work values and burnout. These findings highlight the central role of psychosocial risk factors in the development of burnout among healthcare professionals, and emotional intelligence does not seem to have a significant moderating effect against burnout in this study. Such findings highlight the crucial role that organizational-level interventions at the workplace play in resolving conflicts between work values and lower burnout and improved worker wellbeing. Full article

Background: Fasting plasma glucose, glycated hemoglobin (HbA1c), and oral glucose tolerance testing remain central to the diagnosis and monitoring of dysglycemia, but they mainly reflect the average glycemic exposure or discrete time-point measurements and may not capture intraday and interday glucose fluctuations. Glycemic variability (GV) has been associated with oxidative stress, endothelial dysfunction, inflammation, and diabetes-related complications, although much of the evidence derives from experimental, clinical, and diabetes-care settings rather than occupational cohorts. Aim: This narrative review examines the physiological basis, measurement, and potential occupational relevance of GV and continuous glucose monitoring (CGM) in working populations. Methods: Literature was narratively selected from biomedical databases, major guidelines, consensus statements, and occupational-health sources, prioritizing reviews, clinical guidelines, cohort studies, mechanistic studies, and CGM studies. No systematic search, risk-of-bias assessment, or quantitative synthesis was performed. Main findings: CGM is an established technology in selected diabetes-care contexts and provides metrics such as coefficient of variation, time in range, time above range, and time below range. Its use in occupational medicine, however, remains investigational outside selected clinical circumstances. Work-related factors such as shift work, circadian disruption, sleep loss, psychosocial stress, irregular meal timing, sedentary behavior, and variable physical workload may influence glucose regulation, but direct evidence linking these exposures to CGM-measured GV in workers remains limited. Implications: Potential applications include research on occupational determinants of metabolic health, monitoring of workplace lifestyle interventions, and individualized management of workers with diabetes in safety-sensitive roles, provided that consent, confidentiality, clinical follow-up, equity, and data-governance safeguards are ensured. Conclusions: GV assessment may complement traditional metabolic markers in selected occupational-health contexts, but routine CGM-based surveillance of general worker populations is not currently supported by sufficient evidence. Further longitudinal and interventional studies are required. Full article

Background: Psychosocial well-being at work is a multidimensional construct associated with employee health, organizational functioning, sustainable workforce development, and population mental health. However, few theoretically integrated instruments simultaneously assess work-related resources, job demands, psychosocial risks, and employee subjective well-being. This study aimed to develop and conduct the initial validation of the Multidimensional Psychosocial Work Environment Scale for Employed Persons (MPWES), grounded in the OECD well-being framework, the WHO-5 conceptual approach, and the Job Demands–Resources model. Methods: Scale development involved theory-driven identification of psychosocial dimensions, item generation, content and face validity assessment, and stepwise psychometric evaluation. Content validity was assessed using the Content Validity Index, and face validity using the Face Validity Index. The hypothesized structure was examined using confirmatory factor analysis. Internal consistency was evaluated using Cronbach’s alpha and McDonald’s omega, while convergent and discriminant validity were assessed using Average Variance Extracted, Composite Reliability, and inter-factor correlations. Results: The proposed measurement model comprised ten dimensions: Subjective Well-Being, Inclusion, Social Support, Workplace Harassment, Work Intensity, Work-related Psychosomatic Strain, Professional Development, Health Risks, Financial Safety, and Autonomy. CFA results provided preliminary and partial support for the proposed ten-factor structure, with borderline-to-acceptable absolute fit indices but limited-to-moderate incremental fit indices. Most dimensions demonstrated acceptable internal consistency; however, convergent and discriminant validity findings should be interpreted cautiously, particularly for dimensions with few items, Financial Safety, and the high correlation between Inclusion and Social Support. Conclusions: The findings provide preliminary empirical support for the MPWES as an initial integrated assessment framework. Further longitudinal, cross-cultural, and independent validation is required. Full article

Background: Occupational health risk assessment in industrial enterprises has traditionally focused on physical, chemical, and ergonomic hazards, while psychosocial working conditions have often been assessed separately from routine occupational surveillance. The aim of this study was to examine whether integrating working conditions, the psychosocial work environment, occupational stress, and temporary disability indicators provide a more informative health risk profile in an industrial setting. Methods: An analytical observational study was conducted at a mining and processing enterprise in Kazakhstan. This study used three data sources: 5429 temporary disability records for 2020–2024, workplace assessments covering 188 job positions, and psychosocial survey data from 392 employees. Occupational stress was evaluated in annual PSS-25 screening waves conducted in 2023 (n = 133), 2024 (n = 133), and 2025 (n = 134). The author-developed psychosocial questionnaire showed acceptable internal consistency (Cronbach’s α = 0.82). Results: During the five-year period, 4971 eligible temporary disability episodes and 61,472 lost workdays were recorded. Psychosocial profiles were less favorable in production units than in administration, and mean PSS-25 values remained relatively stable across the years. The Integral Index of Working Conditions (Iwc) was positively associated with temporary disability indicators and occupational stress, whereas the Integral Health Index (Ihr) was inversely associated with psychosocial well-being. Conclusions: The findings suggest that occupational risk assessment remains incomplete when psychosocial factors are excluded or treated separately. Integrating hygienic, psychosocial, stress-related, and medical-statistical indicators may improve the prioritization of preventive measures and support healthier workplace management in industrial enterprises. Full article

Stimulating leisure activities have been increasingly recognized as meaningful strategies to maintain cognitive health and reduce psychosocial risks among older adults. This study evaluated the effectiveness of a structured board game intervention in enhancing cognitive function and reducing loneliness among older adults living in long-term care facilities in Taiwan. Using a quasi-experimental design, 67 residents were assigned to either an intervention group, which participated in a six-week board game program, or a comparison group that continued with their usual activities. Data were collected at baseline and immediately after the intervention. Generalized estimating equations were used to analyze changes over time. Results indicated that the intervention group showed significantly greater improvements in cognitive function (β = 3.86, p < 0.001) and reductions in loneliness (β = 2.31, p = 0.004) at week 6 compared with the comparison group. These findings provide preliminary evidence that structured board game activities may represent a feasible, low-cost, and socially engaging approach to support cognitive and psychosocial well-being among older adults living in long-term care facilities. Implications for gerontological social work practice and activity programming are discussed. Full article

Background/Objectives: Carotid body tumour (CBT) resection carries substantial haemorrhage and cranial neuropathy risks. While preoperative embolisation mitigates these, its impact on patient-reported outcomes (PROMs) and quality of life (QoL) remains underexplored. Evaluate the preoperative embolisation’s impact on postoperative QoL using the 36-Item Short Form Health Survey (SF-36) questionnaire. Methods: A retrospective cohort study (68 patients) compared Preoperative Embolisation (Group E, n = 24) and Primary Resection (Group NE, n = 44), adjusting for confounders via multivariate linear regression. Results: Group E featured larger, more complex tumours. Despite this structural burden, intraoperative bleeding was significantly lower in Group E (median 300, Interquartile Range (IQR) 150–400 vs. 400 mL, IQR 350–500; p = 0.012). Group E reported lower overall median SF-36 scores (59.5 vs. 70 points; p = 0.002); however, multivariate analysis confirmed that embolisation was not an independent negative QoL predictor (b = −0.52, p = 0.852), whereas Shamblin grade III was associated with diminished well-being (b = −7.42, p = 0.012). Domain analysis revealed selective restrictions driven by acute somatic and emotional stress: Physical Functioning (p = 0.002), Bodily Pain (p = 0.007), General Health (p = 0.003), Vitality (p = 0.016), and Role Emotional (p = 0.010). Age stratification revealed a non-linear trend, validated via ANOVA (p = 0.013): working-age patients (<60 years) exhibited significantly lower SF-36 scores (61.2 ± 11.4 points) than the intermediate (p = 0.034) and elderly (p = 0.011) subgroups (>70 years; 72.8 ± 5.1 points). Conclusions: Preoperative embolisation optimises hemodynamic control and surgical safety without independently compromising long-term well-being. Postoperative QoL is heavily modulated by age-dependent generational psychosocial baselines rather than structural morbidity metrics alone. Full article

(1) Introduction: Transit-oriented development is often framed as a strategy to expand opportunity and advance equitable transportation. However, evidence suggests it can also contribute to rising housing costs and displacement in historically marginalized communities. This study examines how a light rail expansion reshaped displacement risk in a Latina/o community in the U.S. Southwest, identifying early mechanisms through residents’ interpretations of the expansion during construction. (2) Materials and Methods: Using a qualitative, community-engaged design, the study draws on ten in-depth pláticas with Latina/o residents conducted during construction of a major rail expansion. Data were analyzed abductively and guided by Critical Race Ecological Systems Theory (CrEST) to identify multilevel mechanisms linking infrastructure policy to lived social conditions. (3) Results: Findings identify three mechanisms through which transit investment generated displacement risk prior to relocation. First, historical and intergenerational memory shaping anticipatory displacement. Second, place-based belonging intensifying psychosocial stress and loss. Third, policy-mediated mobility constraining residents’ ability to remain or benefit from reinvestment. (4) Discussion: Transit infrastructure operates as a structural policy intervention that reorganizes risk, belonging, and stability when histories of racialized disinvestment are not incorporated into policy design. These findings position infrastructure planning as a critical site for social work policy analysis and prevention-oriented intervention. Full article

Psychosocial stressors are increasingly recognized as critical determinants of workplace safety, yet their mechanisms in construction settings remain poorly understood. This study examines how family–work conflict (FWC) is associated with safety behavior among construction workers, with mental and physical fatigue as parallel mediators and perceived supervisor support (PSS) as a moderator. Drawing on Conservation of Resources (COR) theory, cross-sectional data were gathered from 527 construction workers across three regions of Jordan and analyzed using Hayes’ PROCESS macro. The findings indicate that FWC is negatively associated with safety behavior both directly and through its positive associations with elevated fatigue levels. Supervisor support was found to attenuate the FWC-to-physical-fatigue pathway and buffer safety behavior under high-conflict conditions. These associations should be interpreted as statistical patterns consistent with the proposed theoretical model rather than evidence of causal relationships, given the cross-sectional design. Theoretically, the study extends COR theory into occupational safety by distinguishing two fatigue dimensions and demonstrating a boundary condition for resource loss. Practically, the findings support supervisor-led safety programs and organizational fatigue management as complementary strategies for addressing psychosocial risk factors in high-risk construction environments. Full article

In Türkiye, working life operates within a hybrid structure in which modern production relations and traditional gender roles intertwine. The automotive sector, in particular, where hegemonic masculinity and conservative values are reproduced, creates a breeding ground for discriminatory practices and safety issues affecting LGB employees. This study aims to analyze the psychosocial and organizational mechanisms underlying LGB individuals’ decisions to disclose or conceal their identities in the context of neoconservative social pressure and industrial masculine culture in Türkiye. Using a qualitative research design grounded in the social constructivist paradigm, semi-structured interviews were conducted with 15 LGB individuals working at different levels of the sector. Data were analyzed using reflective thematic analysis. The findings revealed themes of controlled openness, emotional labor, defense mechanisms, organizational silence, micro-solidarity, and ordinary visibility. It was determined that identity management is experienced as “strategic risk management” rather than an act of liberation, that hierarchical advancement increases the “glass closet” effect, and that employees constantly exhaust their cognitive capacity in a state of “hyper-vigilance”. In conclusion, the study examines the divergence between multinational corporations’ global inclusion policies and local practices and explores the structural factors that sustain organizational silence. Full article

Emotional exhaustion has been discussed as a major contributor to work ability problems, with substantial economic, individual, and social consequences. Research largely focuses on specific professions and sometimes overlooks that exhaustion and work overload problems are partly distinct. This study uses a differential analysis to explore working conditions and individual characteristics in employees with emotional exhaustion or perceived work overload, aiming to identify potential common risk factors. A representative German cross-sectional sample of 2289 employees aged 15–67, working at least 10 h per week, was analyzed. Employees with and without treatment for exhaustion, and with and without perceived work overload, were compared using variance analysis. Overloaded employees reported more work demands, while exhausted employees appear to be more often female and not in their preferred occupation. Several psychosocial work factors (e.g., responsibility) were more consistently associated with the overload and exhaustion groups than many of the physical work conditions. Employee characteristics such as openness and internal locus of control appeared to be similarly distributed across groups. Overload without exhaustion can be distinguished from combined exhaustion and overload, suggesting that work overload may occur with or without exhaustion, in relation to individual psychosocial resources. Preventive interventions for work ability may benefit from addressing overload as a distinct risk factor, besides illness-related exhaustion. Full article

Seasonal workers in the tourism sector are exposed to significant psychosocial risks, such as work overload, emotional exhaustion, and precarious employment conditions. Despite growing interest in positive organizational psychology, little is known about how organizational culture impacts perceptions and experiences of seasonal workers in Italy. This study explores the role of positive organizational culture in promoting well-being among seasonal workers in the tourism sector, examining their direct perspectives on organizational climate, work challenges, and individual and organizational resources. Eight semi-structured interviews were conducted with seasonal workers employed in the hospitality industry in Italy. Data were analyzed through an integrated mixed-method approach combining Grounded Theory methodology with quantitative lexical analysis using T-LAB software, ensuring both analytical rigor and interpretive depth. Five macro-categories emerged inductively from the data: trust and relations, coping strategies and emotions, perceived justice, teamwork, and meaning of work. These were integrated into a core category defined as flourishing at work, interpreted through the lens of Seligman’s PERMA model. These findings suggest that well-being in seasonal work is an active and relational achievement, sustained by emotional self-regulation, perceived fairness, and collective identity. The results carry direct implications for organizational policies and psychosocial risk prevention strategies in precarious work contexts. In particular, positive organizational culture and environments can act as protective factors against psychosocial risks, with direct implications for organizational policies, psychosocial risk prevention, and evidence-based workplace interventions. The specificity of the analysis method offers an original contribution by integrating qualitative and quantitative textual analysis to investigate psychosocial well-being in an under-explored population: Italian seasonal workers. Full article

Background/Objectives: The escalation of psychiatric symptoms can pose risks to the safety of the patients and members of the health care team, particularly nursing staff who are in direct and constant contact with these patients whilst providing care. This study aimed to describe the reality experienced by nursing teams responding to crisis situations in Psychosocial Care Network services. Methods: Action research was conducted, for which data were collected using the focus group technique, with the participation of 10 to 11 nursing professionals. Twelve sessions were held using this technique, two for each of the six groups. For data analysis, full transcription and coding were performed using the Atlas TI Software (Version 23) to identify themes. Data analysis was developed using the thematic analysis technique. Results: The identified data categories are as follows: professionals’ perceptions of nursing team performance in caring for people in crisis; meanings attributed by professionals to situations of aggression during crises; and needs to be met for better management of people in crisis. Conclusions: Decentralizing responsibilities among the team and within the Network, including interdisciplinary care, makes it possible to provide comprehensive care for people in crisis. It is necessary to put integrated measures in place to safeguard the health of nursing staff working in Psychosocial Care Network services. Full article

Healthcare organizations face emerging challenges that threaten the safety of professionals and patients, as well as the performance and long-term sustainability of healthcare systems. Health problems such as work-related musculoskeletal disorders are highly prevalent among nurses, not only due to the physical demands but also because of significant psychosocial stressors and mental health challenges inherent in healthcare environments. This study investigates the influence of psychosocial risks at work (PSRs) on the occurrence of work-related musculoskeletal disorders (WRMSDs) in nurses. A cross-sectional study was conducted, using a snowball recruitment method, from October 2025 to March 2026, among 266 nurses. Data were collected using the Psychosocial Risk Factors scale (INSAT_ERPS) and The Depression, Anxiety and Stress Scale-21 Items (DASS-21), to examine relationships among PSRs, mental health and WRMSDs using descriptive and inferential statistics. Key psychosocial determinants of WRMSDs include high psychological strain—manifesting as anxiety—compounded by psychosocial stressors such as work intensity, employment relations, and emotional demands. The results highlight the importance of addressing PSR and mental health, to reduce the incidence of WRMSDs among nurses. Interventions focused on improving working conditions and promoting mental health may be effective in preventing WRMSDs. Full article

This study investigates the emergence of psychosocial risks during the COVID-19 pandemic in the architecture, engineering, and construction (AEC) industry. It aims to enhance mental health outcomes for project professionals by identifying pandemic-related stressors, evaluating the role of organisational interventions, and developing a practical framework for psychosocial risk management. Guided by Job Demands–Resources (JDR) theory, the research involved a literature review, expert consultations, and a structured survey targeting AEC project managers. The findings reveal that COVID-19-related psychosocial risks such as work overload, isolation, job insecurity, and blurred work–life boundaries were negatively associated with mental health. Organisational interventions were positively associated with improved mental health. However, the moderating effect of organisational intervention on the relationship between psychosocial risks and mental health was not statistically significant. This study proposes a framework to guide AEC organisations in integrating proactive mental health strategies into everyday project practices. While the data are sector-specific and collected during a crisis period, the implications extend to broader project-based settings. This research offers practical insights for AEC firms, policymakers, and industry stakeholders on supporting workforce well-being through targeted interventions. It also contributes conceptually by linking pandemic-induced stressors to established theoretical models of occupational stress, highlighting the need for sector-specific strategies in promoting psychological safety in high-demand work environments. Full article

Occupational mental-health risk in knowledge-work settings is an important public-health and psychosocial-support concern because workload demands, career insecurity, limited mentoring, uneven institutional support and barriers to care can increase psychological risk, including in early-career academic environments. Workplace well-being assessments rely on aggregate survey summaries or conventional prediction models, limiting calibration, interpretability, subgroup evaluation and transfer validation. This study develops a computational-intelligence framework for public mental-health decision support using heterogeneous workplace survey data with early-career academics treated as a motivating knowledge-work context rather than as the direct empirical cohort. The proposed approach combines attention-based tabular learning, variational autoencoder latent profiling, stacked ensemble prediction, probability calibration, feature attribution, perturbation analysis, fairness assessment and cross-dataset adaptation. Calibrated probabilities are converted into a transparent 0–100 risk index to support preventive outreach, psychosocial-support planning and resource-allocation decisions. The model is compared with baselines, including logistic regression, support vector machine, random forest, XGBoost, LightGBM, CatBoost, TabNet, FT–Transformer, NODE and DCN. Results show strong held-out performance with AUC = 0.885, average precision = 0.872, F1 = 0.808, Brier score = 0.145 and expected calibration error = 0.022, outperforming tested baselines. Five-fold robustness analysis produced a conservative mean test AUC of $0.809\pm 0.044$, indicating moderate partition sensitivity. Key predictors include work interference, perceived stress, care access and support variables. Latent profiling identifies two behavioural subgroups with distinct risk patterns. After feature harmonization, target-domain adaptation and recalibration, external evaluation on an occupational burnout dataset achieves AUC = 0.941 and average precision = 0.936, supporting calibrated, interpretable and subgroup-aware decision support under dataset shift. Full article