Search Results (1,240)

Stress, workload, and uncertainty characterize occupational tasks across sports, healthcare, military, and transportation domains. Emerging theory and empirical research suggest that coordinated whole-body movements may reflect these transient mental states. Wearable sensors and optical motion capture offer opportunities to quantify such movement dynamics and classify mental states that influence occupational performance and human–machine interaction. We tested this possibility in a small pilot study (N = 10) designed to test feasibility and identify preliminary movement features linked to mental states. Participants performed a perceptual decision-making task involving facial emotion recognition (i.e., deciding whether depicted faces were happy versus angry) with variable levels of stress (via a risk of electric shock), workload (via time pressure), and uncertainty (via visual degradation of task stimuli). The time series of movement trajectories was analyzed both holistically (full trajectory) and by phase: lowered (early), raising (middle), aiming (late), and face-to-face (sequential). For each epoch, up to 3844 linear and non-linear features were extracted across temporal, spectral, probability, divergence, and fractal domains. Features were entered into a repeated 10-fold cross-validation procedure using 80/20 train/test splits. Feature selection was conducted with the T-Rex Selector, and selected features were used to train a scikit-learn pipeline with a Robust Scaler and a Logistic Regression classifier. Models achieved mean ROC AUC scores as high as 0.76 for stress classification, with the highest sensitivity during the full movement trajectory and middle (raise) phases. Classification of workload and uncertainty states was less successful. These findings demonstrate the potential of movement-based sensing to infer stress states in applied settings and inform future human–machine interface development. Full article

This research applies the stress appraisal framework to examine how perceived status threats, triggered by high-performing new employees, affect incumbent employees’ work engagement and withdrawal behaviors. The investigation proposes that coping approaches, specifically proactive adaptation strategies and disengagement tactics, serve as mediating mechanisms, with stress perception orientation playing a moderating role. By reversing traditional research perspectives to concentrate on incumbent employees rather than new employees, this analysis identifies the key drivers of perceived occupational vulnerability and investigates their behavioral consequences. Through a time-lagged research methodology, we garnered responses from 266 incumbent employees spanning multiple sectors. The results demonstrate a strong positive correlation between the competence of new employees and incumbent employees’ perceived status of threat, which subsequently elevates work engagement via approach-focused strategies, while simultaneously increasing disengagement behaviors through avoidance mechanisms. Notably, employees’ fundamental beliefs about stress significantly weaken the association between perceived competitive threats and passive coping methods. These discoveries highlight critical implications for managing workplace dynamics and optimizing team performance through an enhanced understanding of perceived status challenges. Full article

The contemporary healthcare environment is characterized by high stress and emotional burden, contributing to increasing rates of professional burnout among clinicians. Exposure to patient death represents one of the most emotionally taxing experiences in medicine, particularly in obstetrics and gynecology (OB/GYN), where loss of life stands in stark contrast to the life-giving nature of the field. Despite extensive research on burnout in oncology and intensive care, the impact of patient death and death perception on OB/GYN clinicians remains underexplored. Objective: This study aimed to examine the relationships between exposure to patient death, perceptions of death, professional burnout, and professional fulfillment among OB/GYN clinicians. A secondary aim was to explore whether participation in emotional regulation training was associated with these variables. Methods: A cross-sectional study was conducted among 138 OB/GYN clinicians. An author-developed questionnaire was used, comprising scales measuring professional burnout, positive and negative death perception, professional fulfillment, professional development, and a global death-impact index. Statistical analyses included Pearson’s correlation and the Mann–Whitney U test to compare clinicians who had attended emotional regulation training with those who had not. Results: Significant positive correlations were observed between burnout and the death-impact index (r = 0.90, p < 0.001) and between burnout and negative death perception (r = 0.23, p = 0.007). Professional fulfillment strongly correlated with professional development (r = 0.94, p < 0.001) and positively with positive death perception (r = 0.30, p < 0.001). No significant group differences were found regarding emotional regulation training participation. Conclusions: Exposure to patient death in OB/GYN is strongly associated with professional burnout and negative perceptions of death. Conversely, professional fulfillment and development function as factors promoting resilience and meaning. Further research should validate the applied measurement tools and examine the effectiveness of emotional regulation interventions in reducing occupational distress. Full article

Work-related musculoskeletal disorders (WMSDs) and psychological stress remain major occupational health challenges among teaching professionals in adult education, yet their interconnected causes are often underexplored. This narrative review aims to identify multifactorial risk factors that contribute to these conditions and to propose a comprehensive framework that enhances understanding of teaching professionals’ well-being. A systematic synthesis of recent epidemiological and occupational health studies was conducted to analyse both immediate and underlying determinants across human, workplace, organisational, and socioeconomic dimensions. The findings reveal that more than two-thirds of teaching professionals experience WMSDs, particularly in the neck and lower back, while psychological stress affects over seventy percent globally. The combined effects of poor ergonomics, prolonged static postures, excessive workload, and limited organisational support contribute significantly to both physical and psychological strain. Broader contextual influences such as job insecurity, insufficient institutional resources, and societal undervaluation further intensify these risks. The review identifies a reciprocal relationship between physical discomfort and psychological distress, where each condition amplifies the other through behavioural and physiological mechanisms. The proposed integrative framework establishes a foundation for targeted interventions and evidence-based policy, promoting a shift toward holistic, system-oriented approaches to occupational health for teaching professionals in professional education settings. Full article

Background: Hypertension and psychological distress often coexist, though evidence from Eastern Europe is still limited. Stress, anxiety, and self-efficacy influence blood pressure control and treatment adherence. Their effect on hypertension prevention and treatment has not been systematically evaluated in Romania. Aim: This study evaluated the associations between stress, anxiety, and self-efficacy in Romanian adults with and without hypertension to identify modifiable psychological factors relevant for integrated cardiovascular management. Methods: A retrospective case–control study was conducted among 215 adults, including individuals with hypertension and normotensive controls. Participants completed validated questionnaires assessing stress vulnerability, perceived stress, state and trait anxiety, self-efficacy, and Type A behavior, together with demographic and occupational data. Results: Hypertensive participants reported higher stress vulnerability, perceived stress, and anxiety, as well as lower self-efficacy, compared with controls. Type A behavior showed no association with hypertension. These differences remained consistent after accounting for demographic characteristics. Conclusions: Hypertension in Romanian adults is associated with a distinct psycho-emotional profile characterized by elevated stress and anxiety and reduced self-efficacy. Type A personality showed no association. The results emphasize the importance of recognizing and addressing modifiable psychological determinants in hypertension care. Integrating psychosocial assessment with personalized interventions, including mindfulness-based approaches, digital health support, and nurse-led telemonitoring, could improve treatment adherence, reduce emotional burden, and contribute to overall cardiovascular health. This region-specific evidence supports expanding hypertension management to include psychological care alongside standard medical approaches. Full article

Cat cafés are gaining popularity worldwide, yet little is known about their impact on feline welfare. This study examined a Swedish cat café from an animal perspective by assessing space use, cat–cat interactions, and cat–human interactions. A total of 27 neutered domestic cats (12 males, 15 females), with a median stay of 8 weeks, were directly observed in groups of 8–9 individuals for a total of 227 h over 70 days. Scan sampling and focal observations were conducted without prior knowledge of cat background to minimize bias. Results showed that elevated structures (χ²-goodness-of-fit test, χ² (2) = 1234.2, p < 0.001, post hoc Bonferroni correction p_adj = 0.013) were important, particularly during periods of high customer occupancy, when cats preferred vertical levels or cat-only rooms. Cat–cat interactions were infrequent (0.58 interactions/cat/h) and mostly affiliative (51.9%), consistent with avoidance as a conflict-reduction strategy. Cat–human interactions were absent in 44.4% of the observation time. Cats varied in their responses to human presence, from engaging to avoiding. Findings suggest that cat cafés should provide complex vertical environments, hiding places, and private areas to support natural behaviors, reduce stress, and promote group stability. As cats come into contact with large numbers of visitors prior to adoption, further research should assess its long-term effects on cat–human relationships and optimize café design to balance cat welfare and visitor experience. Full article

The purpose of the study is to investigate human physiological responses to construction noise exposure using deep learning, applying electroencephalography (EEG) and electro-dermal activity (EDA) sensors. Construction noise is a pervasive occupational stressor that affects physiological states and impairs cognitive performance. EEG sensors capture neural activity related to perception and attention, and EDA reflects autonomic arousal and stress. In this study, twenty-five participants were exposed to impulsive noise from pile drivers and tonal noise from earth augers at three intensity levels (40, 60, and 80 dB), while EEG and EDA signals were recorded simultaneously. Convolutional neural networks (CNN) were utilized for EEG and long short-term memory networks (LSTM) for EDA. The results depict that EEG-based models consistently outperformed EDA-based models, establishing EEG as the dominant modality. In addition, decision-level fusion enhanced robustness across evaluation metrics by employing complementary information from EDA sensors. Ablation analyses presented that model performance was sensitive to design choices, with medium EEG windows (6 s), medium EDA windows (5–10 s), smaller batch sizes, and moderate weight decay yielding the most stable results. Further, retraining with ablation-informed hyperparameters confirmed that this configuration improved overall accuracy and maintained stable generalization across folds. The outcome of this study demonstrates the potential of deep learning to capture multimodal physiological responses when subjected to construction noise and emphasizes the critical role of modality-specific design and systematic hyperparameter optimization in achieving reliable annoyance detection. Full article

Air pollution, particularly from fine and ultrafine particulate matter (PM), has been increasingly associated with cardiovascular diseases. Ultrafine carbon, a component of ultrafine PM widely used in industrial settings, is both an environmental and occupational hazard. But the cardiac toxicity of repeated inhalation exposure to ultrafine carbon black (CB) remains unclear. In this study, we investigated how repeated inhalation of CB affects cardiac mitochondrial function, focusing on metabolic pathways and regulatory mechanisms involved in energy production. Male C57BL/6J mice were exposed to either filtered air or CB aerosols (10 mg/m³) for four consecutive days. Cardiac tissues were collected and analyzed to assess changes in metabolic enzyme activity, protein expression, and mitochondrial function using Western blotting, enzymatic assays, and immunoprecipitation. Despite there being few changes in overall protein expression levels, we observed significant impairments in fatty acid oxidation, increased glucose oxidation, and disrupted electron transport chain (ETC) supercomplex assembly, particularly in Complexes III and IV. These changes were accompanied by increased hyperacetylation of mitochondrial proteins and elevated levels of GCN5L1, a mitochondrial acetyltransferase. We also found increased lipid peroxidation and hyperacetylation of antioxidant enzyme SOD2 at the K-122 site, which reflects reduced enzymatic activity contributing to oxidative stress. Our findings suggest that repeated CB inhalation leads to mitochondrial dysfunction in the heart by dysregulating substrate utilization, impairing ETC activities, and weakening antioxidant defenses primarily through lysine acetylation. These findings reveal a potential role of key post-translational mechanisms in environmental particulate exposure to mitochondrial impairment and provide a potential therapeutic target for CB-induced cardiotoxicity. Full article

Burnout is increasingly recognized as both a psychosocial and a chronobiological disorder characterized by endocrine dysregulation and circadian disruption. It arises from chronic occupational stress and manifests through psychological, physical, and physiological symptoms. Although psychosocial determinants are well established, the biological and chronobiological mechanisms, particularly those involving cortisol and melatonin, remain less explored. This systematic review synthesizes current evidence on hormonal and circadian dysregulation in burnout and complements it with exploratory observational data from healthcare professionals. Peer-reviewed studies evaluating endocrine or circadian biomarkers in individuals with burnout were systematically reviewed. In addition, an exploratory observational analysis was carried out among 195 Romanian clinicians using an adapted Maslach Burnout Inventory. Morning salivary cortisol was measured once at 9 a.m. in a small subsample (n = 26) to provide preliminary physiological data. Because only a single time point was obtained, these values were interpreted as indicative of stress-related activation rather than circadian rhythm. Thirty-seven studies met the inclusion criteria. Across the literature, burnout was associated with altered HPA-axis activity, blunted diurnal cortisol variation, and irregular melatonin secretion related to shift work and disrupted sleep–wake cycles. Complementary exploratory data from our Romanian cohort indicated strong correlations between burnout severity, physical symptoms, and higher morning cortisol values among shift-working clinicians. These findings are preliminary and not representative of full circadian profiles. Burnout should be considered both a psychosocial and a systemic disorder influenced by endocrine and circadian dysregulation. Recognizing alterations in cortisol and melatonin as objective indicators may facilitate earlier detection and inform chronobiological interventions such as optimized scheduling, light exposure management, or melatonin therapy. The observational data presented here is preliminary and intended to generate hypotheses; future research should employ repeated cortisol sampling under controlled Zeitgeber conditions to confirm circadian associations. Full article

The Internet of Things (IoT) offers promising solutions for smart agriculture, particularly in the monitoring of livestock. This paper proposes a contactless, low-cost system for individual cow identification and monitoring in a dairy barn using a single Pan–Tilt–Zoom (PTZ) camera and a YOLOv8 deep learning model. The PTZ camera periodically scans the barn, capturing images that are processed to detect and recognize a specific target cow among the herd without any wearable sensors. The system embeds barn area metadata in each image, allowing it to estimate the cow’s location and compute the frequency of its presence in predefined zones. We fine-tuned a YOLOv8 object detection model to distinguish the target cow, achieving high precision in identification. Experimental results in a real barn environment demonstrate that the system can identify an individual cow with 85.96% Precision and 68.06% Recall, and the derived spatial occupancy patterns closely match ground truth observations. Compared to conventional methods requiring multiple fixed cameras or RFID-based wearables, the proposed approach significantly reduces equipment costs and animal handling stress. It should be noted that the present work serves as a proof-of-concept for targeted cow tracking that identifies and follows a specific individual within a herd rather than a fully generalized multi-cow identification system. Full article

Background/Objectives: Migrants are recognized as a vulnerable population for non-communicable diseases (NCDs) due to unique socio-cultural and environmental challenges associated with acculturation. Despite a growing migrant population, evidence on NCD risk among migrants in Japan is scarce. This study examined the prevalence, co-occurrence, and clustering of modifiable NCD risk factors among middle-aged foreign residents in Japan. Methods: A cross-sectional web-based survey was conducted among foreign residents aged 30–60 years (n = 384). Eight risk factors were assessed: tobacco use (including cigarettes, e-cigarettes, and chewable tobacco), harmful alcohol consumption, inadequate fruit and vegetable intake, frequent consumption of ultra-processed foods, insufficient physical activity (PA), poor sleep, high stress levels, and high BMI. Latent class analysis (LCA) was used to identify risk clusters, and associations with demographic and socioeconomic characteristics were examined. Results: The prevalence of risk behaviours was high, with 96% reporting inadequate fruit and vegetable intake, 55% poor sleep, and 50% insufficient PA. Risk factor co-occurrence was common: 32% reported three concurrent risks, 27.1% reported four, and 17.2% reported five or more. LCA identified two clusters. Cluster 1 (46.9% of participants) was characterized by tobacco and alcohol use, with inadequate diet and poor sleep. Cluster 2 (53.1% of participants) was defined by insufficient PA, inadequate diet, and poor sleep, but low tobacco and alcohol use. Cluster membership varied significantly by sex and employment. Conclusions: This study provides preliminary evidence of the high prevalence and clustering of modifiable NCD risk factors among middle-aged migrants in Japan. Findings highlight the need for comprehensive, multi-behavioral interventions tailored to migrant populations, while considering gender roles and occupational contexts. Full article

Work performed in confined and low-height spaces (NSLH) is relatively common across several industries, yet it has not been adequately addressed from an ergonomic perspective. Such activities require workers to adopt awkward postures, most often with the trunk bent and rotated, while handling loads positioned at varying distances from the body. These conditions lead to rapid fatigue, musculoskeletal strain, and, in the long term, may cause serious health disorders. Traditional ergonomic risk assessment methods, such as REBA, RULA, or QEC, were initially applied in these situations; however, the results were unsatisfactory. Their broad applicability and reliance on calculation tables that incorporate factors irrelevant to NSLH tasks prevent them from providing an accurate evaluation of ergonomic risks in these environments. To overcome these limitations, a new assessment method, RALH (Risk Assessment for Narrow Spaces with Low Height), was developed. The method aims to evaluate ergonomic risks in contexts where workers cannot maintain an upright posture, resulting in significant stress on the spinal column, particularly in the lumbar and cervical regions. The RALH methodology incorporates parameters such as trunk inclination, trunk rotation, load weight, distance between the body and the load, exposure duration, and the worker’s physical fitness. A dedicated software tool, ERGO Agent—RALH, was designed to implement this methodology, providing structured data collection, parameter normalization, and ergonomic risk calculation. Case studies, including distribution agents working inside van cargo compartments, demonstrated that the method produces accurate and objective results. Beyond diagnosis, RALH also supports the development of preventive strategies, such as equipment optimization, task allocation, worker training, and physical conditioning. Overall, the RALH method is a practical tool for improving occupational health and efficiency in NSLH environments, where traditional ergonomic approaches are insufficient. Full article

Prolonged exposure to high ambient temperatures, heat stress, and inadequate mitigation measures increases the health and safety risks of construction workers. Following the PRISMA guidelines, our goal was to synthesize recent evidence on the impacts of ambient heat stress on construction workers. A literature review of articles published between 2019 and 2024 was conducted, selecting 42 out of 883 articles that focused on occupational heat stress, extreme ambient temperatures, and their effects on the health, safety, and injury risks of construction workers. The findings highlighted a relationship between occupational heat exposure, increased injury, illness, and mortality among construction workers. Elevated ambient temperatures, during summer and peak work hours, significantly increased the risk of falls, cardiovascular events, and thermal discomfort. Younger, unacclimatized workers in regions with extreme ambient heat and a lack of regulation, observation, and regulation enforcement were at risk. Evidence revealed gaps in worker training, compliance, enforcement, and the integration of individualized monitoring. This review highlights the increasing risks associated with occupational heat exposure in construction workers, driven by rising ambient temperatures. It emphasizes the need for integrated strategies combining personalized wearable technologies, inclusive training, and regulatory reform to improve worker safety and productivity and promote policy development. Full article

Background: Resilience plays a fundamental role in the professional functioning of psychiatric nurses, supporting coping with stress, adaptation to demanding work environments, and job satisfaction. Regular assessment of resilience and perceived stress is important for timely psychological and organizational support. This study aimed to examine the relationship between resilience and perceived occupational stress among psychiatric nursing staff. Methods: The present study employed a cross-sectional research design. Standardized psychometric instruments were used, including the Resilience Assessment Scale (SPP-25) and the Perceived Stress Scale (PSS-10). Additionally, a self-developed questionnaire was administered to gather sociodemographic data. The study was conducted in five psychiatric hospitals located in the southern region of Poland. Data collection took place between January and June 2023 and involved a total of 555 nurses (449 women and 106 men) employed in inpatient psychiatric wards. A statistical significance level of p < 0.05 was adopted. Statistical analyses were performed using IBM SPSS Statistics 25. Results: The overall resilience level in the study group was 57.83 points (SD = 24.33). The mean level of perceived stress among psychiatric nurses was 18.43 points (SD = 10.91). Both resilience and perceived stress levels varied significantly depending on selected sociodemographic and occupational characteristics. A statistically significant negative correlation was found between perceived stress and both the overall level of resilience and each of its individual components (p < 0.001). Conclusions: Regular assessment of psychological resilience and stress levels among psychiatric nurses is an essential component of monitoring their well-being. Such evaluations provide insights into the role of individual resources in coping with occupational demands and serve as a foundation for developing targeted support programs. Strengthening resilience not only promotes the mental health of nursing staff but also contributes to higher quality of patient care and greater effectiveness in fulfilling professional responsibilities. Full article

(1) Background: A child’s new diagnosis of autism can represent a highly stressful event for parents. Subthreshold autistic traits (ATs) have been linked to higher vulnerability to psychopathology when exposed to stressful situations, and high rates of ATs have been reported among parents of autistic children. This study aimed to evaluate post-traumatic stress spectrum symptoms (PTSS) in parents of preschool children newly diagnosed with autism and to explore differences between mothers and fathers, besides the correlations with ATs. (2) Methods: A total of 134 parents of children newly diagnosed with autism were assessed by trained psychiatrists from the University of Pisa using the Autism Spectrum Quotient (AQ), the Adult Autism Subthreshold Spectrum-Self Report (AdAS-SR), the Trauma and Loss Spectrum-Self Report (TALS-SR), and the Social and Occupational Functioning Assessment Scale (SOFAS). (3) Results: Approximately 10% of parents met DSM-5-TR criteria for symptomatologic PTSD, with nearly 40% experiencing partial PTSD symptoms related to their child’s diagnosis. Mothers showed higher PTSD rates than fathers. The ATs significantly correlated with elevated TALS-SR scores, and logistic regression revealed a positive association between ATs and PTSD (p < 0.001). Linear regression analysis indicated that higher TALS-SR scores predicted lower SOFAS scores (p = 0.004). (4) Conclusions: These findings highlight the potential traumatic impact of a child’s new autism diagnosis on parents, particularly mothers and individuals with ATs. The results underscore the importance of targeted support strategies for parents, considering their key role in early interventions. Further research is needed to better understand parental psychological responses and to enhance support systems, ultimately improving family wellbeing and child outcomes. Full article