Occupational Stress

To create brief exercise videos addressing physical discomfort, fitness goals, and movement skills. To design personalized exercise menus to enhance staff adherence. To apply the "exercise snacking" model with multiple short daily sessions and evaluate its effects on health, work performance, and exercise behavior.

We spend a third of our life at work. Psychosocial risks (PSR) are a major issue in occupational health 1. Approaching the different dimensions of PSR calls on a dozen essential components: workload, autonomy, social support, burnout, anxiety, efforts made, rewards, work addiction, investment, etc. a specific questionnaire which usually contains 20 to 30 questions, so that having an overall view of PSR using the current reference questionnaires (Karasek, Siegrist, etc.) represents a total of more than 300 questions. The response time is thus incompatible with current medical practice (passage in the waiting room before the occupational health medical examination) and leads to a majority of non-responses during anonymous questionnaires on the Internet. On the other hand, these validated questionnaires were carried out by different people and are very heterogeneous between them, including in their formulation, so that the respondents have the impression of disorganization and anarchy. There is therefore a need for short, quick and uniform questionnaires. EVAs offer the incredible advantage of meeting these criteria: speed, uniformity, precision. From a data analysis point of view, EVAs also have the advantage of offering a continuous quantitative response, allowing the use of all statistical approaches. If some questionnaires have already been validated in the form of EVA, such as the EVA stress versus the " Perceived Stress Scale " questionnaire (PSS), the EVA workload and EVA autonomy at work versus the Karasek questionnaire, the other reference questionnaires are not yet validated in EVA (burnout, anxiety, efforts / rewards, work addiction, etc.).

This cross-sectional descriptive study aims to identify the demographic, occupational, organisational and individual psychological factors that predict burnout among physiotherapists working in active clinical practice in Turkey. Using a four-block hierarchical multiple regression approach, the relative contribution of workload and role factors, organisational factors, psychological resilience, self-efficacy and Type A behaviour pattern to the three dimensions of burnout (emotional exhaustion, depersonalisation and personal accomplishment) will be quantified. Turnover intention is examined as a secondary dependent variable. Data are collected through an anonymous online survey distributed nationwide.

This randomized controlled trial aims to compare the effects of a web-based compassion-focused writing program and a reflective writing program on psychological well-being, self-compassion, postpartum trauma-related stress symptoms, and post-traumatic growth in midwives working in delivery rooms.

* This study will enroll approximately 12 endodontists (primary subjects) and approximately 120 patients (secondary subjects) undergoing routine endodontic treatment (primary root canal treatment or retreatment), resulting in approximately 120 observed treatment sessions. Patients will be treated as part of standard clinical care and will not receive any experimental intervention. * Participating endodontists will wear an Apple Watch to continuously monitor heart rate (HR) during routine endodontic procedures. The Apple Watch contains built-in physiological sensors that automatically record heart rate. HR data are stored locally in the Apple Health app on a study-designated iPhone assigned for research use and handled solely by the Principal Investigator (PI). No real-time data transmission or cloud-based sharing occurs during data recording. At designated intervals, the PI will use the Apple Health app's built-in "Export Health Data" function, which generates a ZIP file containing an export.xml file with sensor-recorded data. The ZIP file will be uploaded directly from the study iPhone to a secure, university-approved UI Box Health Data Folder designated for the study. No research-specific Apple ID, cloud account, or third-party data-sharing platform will be used. * A trained, non-intervening observer will record start and stop timepoints of predefined endodontic treatment stages to align HR signals with procedural phases. These stages include patient presentation, examination, informed consent, local anesthesia administration, rubber dam placement, access cavity preparation, root canal instrumentation, obturation, and final radiographic assessment. The observer will document only minimal, non-identifiable procedural variables necessary for analysis, including treatment type (primary root canal treatment or retreatment), treatment difficulty level (based on the AAE Endodontic Case Difficulty Assessment), and patient age category. No patient identifiers or protected health information (PHI) will be recorded. * Each participating endodontist will complete the Perceived Stress Questionnaire (PSQ) two times in total at baseline and at the conclusion of study participation to assess perceived stress levels and evaluate associations between baseline stress and physiological stress responses during treatment. The PSQ requires approximately 5 minutes to complete. Endodontists will not complete questionnaires for individual patient encounters. HR data and permitted procedural variables will be coded, securely stored in the UI Box Health Data Folder, and analyzed to assess HR variation across endodontic treatment stages and treatment difficulty levels. No additional patient identifiers or PHI will be collected beyond what is specified above.

* This study will enroll 10 dental students (primary subjects) and up to 200 patients (secondary subjects), approximately 10 special-needs and 10 non-special-needs encounters per student, totaling about 200 treatment sessions. * Students will wear an Apple Watch to continuously monitor heart rate (HR) during routine care. The Apple Watch contains built-in physiological sensors that automatically record heart rate and heart rate variability. These data are stored locally in the Apple Health app on a study-designated iPhone that is assigned for the research and handled solely by the Principal Investigator (PI). No real-time transmission or cloud-based sharing occurs during data recording. No additional apps, accounts, or third-party software are used. At designated intervals, the PI will use the health app's built-in "Export Health Data" function on the study iPhone. This function generates a ZIP file containing an export.xml file with sensor-recorded data. The PI will then upload the ZIP file from the study iPhone directly to a secure, university-approved UI Box Health Data Folder designated for the study. No research account will be set up for this purpose. * A trained observer will record start/stop timepoints of procedure phases (e.g., seating, anesthesia start, operative phase, dismissal) to align with HR signals and will document only minimal patient variables needed for analysis: behavior/cooperation score (e.g., Frankl), sedation status, and broad procedure category (e.g., preventive, restorative, surgical). * Each dental student will complete the Perceived Stress Questionnaire (PSQ) only once at the beginning of the study to stablish a baseline measure of stress. The Questionnaire takes approximately 5 minutes to complete. Students do not need to complete the PSQ for each patient encounter. Student HR data and permitted minimal patient variables will be coded and de-identified, stored securely in UI Box Health Data Folder, and analyzed to compare special-needs vs non-special-needs encounters and to evaluate associations between student HR and the listed patient factors. No additional patient identifiers or PHI will be collected beyond what is specified above.

The purpose of the study is to study changes in sedentary behavior following a behavioral intervention (sit-and-stand desk, and cycloergometer)

Newly graduated nurses often experience high levels of psychological stress, sleep disturbance, fatigue, and burnout during the early transition into clinical practice. Early identification of burnout and retention risk may help improve mental well-being, workforce stability, and quality of patient care. This longitudinal observational study aims to develop a non-invasive sleep-based prediction platform for assessing burnout and retention risk among postgraduate nurses. Participants will undergo repeated psychological assessments and non-contact sleep monitoring during the study period. Sleep-related physiological parameters, including sleep efficiency, sleep structure, heart rate variability, and respiratory variability, will be collected together with validated psychological questionnaires. The study will further apply machine learning and artificial intelligence approaches to integrate longitudinal physiological and psychological data for risk prediction and early identification of burnout-related conditions. The findings may support future development of precision mental health monitoring and supportive management strategies for high-stress healthcare workers.

Projecte Benestar 2026 is a multicenter randomized controlled study evaluating a brief immersive educational program delivered through virtual reality for healthcare workers. The program is designed to support emotional well-being, self-care, mindfulness, and emotional regulation in professionals working in healthcare settings. Participants will be active healthcare or healthcare-support workers from participating centers. They will be randomly assigned to one of two groups. One group will receive the virtual reality program at the beginning of the study, while the other group will continue usual activity and receive the same program later, after a wait-list period. The main objective is to evaluate whether the program reduces emotional exhaustion, measured with the Maslach Burnout Inventory. Secondary objectives include evaluating changes in depersonalization, personal accomplishment, work engagement, usability, satisfaction, adherence, and tolerability of the virtual reality program.

The goal of this hybrid Type 1 effectiveness-implementation trial is to test the extent to which a peer support and community resource navigation intervention improves psychological well-being, addresses non-biologic drivers of health (access to healthcare, supportive services, nutrition, housing stability, transportation, chronic stress, social support), and thus reduces cardiometabolic risk among rural, low-income farmworker women aged 18-50 years. The main questions it aims to answer are: * If and to what extent does the intervention reduce stress, social isolation, and psychological distress by improving social support and access to needed resources? * If and to what extent does the intervention improve cardiometabolic health, measured by the American Heart Association's Life's Essential 8 (LE8) score? Researchers will compare the CHW-led Sisters for Heart Health intervention to a Basic intervention (LE8 assessment and resource information) to assess the effect of peer support and community resource navigation on heart health outcomes.

The NeuroFinance Human Stress Trial (NFHST-2026-001) is a decentralized observational clinical study designed to evaluate how financial market volatility, economic uncertainty, digital media exposure, and information-driven stress environments affect human physiologic and behavioral health. Participants will undergo remote monitoring using wearable biosensors, cardiovascular telemetry devices, sleep tracking systems, heart rate variability monitoring, and behavioral analytics platforms. The study will use artificial intelligence and machine learning systems to analyze relationships between external financial and informational events and biologic stress responses, including autonomic nervous system activity, sleep disruption, cardiovascular strain, emotional resilience, and inflammatory signaling. The goal of the study is to develop predictive digital biomarkers and AI-assisted forecasting systems capable of identifying stress-related physiologic deterioration before clinical manifestation.

This prospective multicenter cohort study evaluates the predictive value of the Adaptive Load Index (ICA), a composite indicator derived from the WB6Dim well-being instrument, on long-duration sick leave (≥ 30 days) in French companies at a 6-month horizon. In France, 7% of sick leave episodes (those exceeding 6 months) account for 45% of total sickness benefit expenditure (Cour des Comptes 2024). Group disability insurance charges rose +24.4% in 2024 (France Assureurs 2025). Critically, a substantial proportion of long-duration sick leave occurs without prior escalation in administrative absence data - the 'cliff effect' - where presenteeism masks progressive deterioration (Gustafsson \& Marklund 2011). Prediction models based solely on absence history plateau at AUC 0.65 for cumulative days (Roelen 2013), while composite psychometric instruments reach C-index 0.73-0.74 (Airaksinen et al. 2018, SJWEH). The WB6Dim is a validated 28-item psychometric tool measuring 9 dimensions of workplace well-being (NCT07301879, NCT07433764; test-retest ICA .904). The ICA classifies respondents into 4 adaptive load levels. Aggregated at the company level, the ICA distribution may detect deterioration during the presenteeism window, before costly sick leave materializes. The study collects 4 WB6Dim assessments over 6 months alongside company-level absence data stratified by duration (2024-2026) and individual self-reported absence data (duration and episode count). Six pre-registered hypotheses test whether ICA predicts long-duration leave, including an exploratory hypothesis targeting companies with no prior absence signal but degraded well-being scores.

This study investigates the effectiveness of an extended reality (XR) based resilience training program designed to support the mental health and well-being of nurses working in hospital settings. Nurses are exposed to high emotional, cognitive, and organizational demands and show elevated levels of work-related stress and stress-associated mental health problems. Strengthening resilience and coping capacities is therefore an important preventive approach to support nurses' well-being and sustain quality of care. The study is conducted as a pragmatic randomized controlled trial with a waitlist control group and includes approximately 232 nurses from hospitals in several European countries. Participants are randomly assigned either to an XR-based resilience training group or to a waitlist control group that continues with care as usual during the waiting period. The XR-based intervention consists of eight immersive training sessions delivered over approximately ten weeks using a head-mounted display. The training focuses on behavioral, cognitive, and emotional coping strategies and aims to enhance key resilience factors such as problem-solving, cognitive reappraisal, emotion regulation, and positive self-care. The primary outcome is perceived stress, assessed using the Perceived Stress Scale. Secondary outcomes include resilience, occupational self-efficacy, quality of life, psychological distress, burnout symptoms, coping strategies, work-related rumination, and turnover intentions. Assessments are conducted at baseline, post-intervention, and at a 20-week follow-up. In addition, a subgroup of participants will optionally provide physiological data during selected XR sessions to explore digital biomarkers related to stress and recovery. The findings of this study will provide evidence on the effectiveness, feasibility, and acceptance of XR-based resilience training for nurses and inform future implementation of digital mental health interventions in healthcare workplaces.

To learn about occupational stress among surgeons and musicians by integrating psychological assessments, neurophysiological measures, and biomarkers.

This study aims to examine the effect of productivity training on nurses' perceived job stress and attitudes toward productivity. It was designed as a randomized controlled experimental study with a pre-test, post-test, and follow-up design. The experimental group will receive a three-week structured productivity training program, while the control group will not receive any intervention during the same period. Data will be collected using the Personal Information Form, the Nurses' Attitudes Toward Productivity Scale, and the Perceived Job Stress Scale. It is hypothesized that nurses who participate in the productivity training will report lower perceived job stress and higher productivity attitudes compared to those in the control group.

The goal of this pilot randomised controlled trial is to investigate whether in vitro exposure by VR enhances return to work (RTW) in flight cabin crew on sick leave with mental health related complaints. The main research questions are: 1. Does VR enhances time to RTW? 2. Does VR increase self-efficacy and positive cognitions regarding RTW, and decrease job anxiety? Researchers will compare a control group receiving care as usual as provided by the occupational physician and a psychologist to an intervention group receiving care as usual plus (al least) one session with VR-glasses in which participants are virtually exposed to their workplace.

The goal of this clinical trial is to learn if the Nurses' Stress Self-Care Educational Program (NSSCEP) can reduce burnout and occupational stress in Jordanian pediatric oncology nurses. The main questions it aims to answer are: 1. Does NSSCEP reduce symptoms of burnout in pediatric oncology nurses? 2. Does NSSCEP improve stress management skills among pediatric oncology nurses? Researchers will compare nurses participating in the NSSCEP to a control group receiving a general technical skills program to see if NSSCEP reduces burnout and improves stress management. Participants will: 1. Attend four educational sessions over one month, focusing on stress recognition, coping strategies, and resilience-building techniques 2. Complete weekly checklists to track their application of stress management skills 3. Participate in pre- and post-intervention surveys to assess burnout and stress levels

The purpose of this study is to assess the level of compassion fatigue and compassion satisfaction among nurses working at Ministry of Health hospitals. It will also examine the significant demographics, work-related contributing factors, and the impact of a mindfulness self-care program on nurses' compassion fatigue and compassion satisfaction level.

This randomized controlled trial aims to test whether enhancing meta self-efficacy through a self-guided internet intervention improves young employees' work self-efficacy and occupational well-being. The trial will evaluate primary (work self-efficacy) and secondary (three dimensions of occupational well-being) outcomes. It is hypothesized that boosting meta self-efficacy will lead to improvements in outcomes, with effects assessed immediately after the intervention, and at 3- and 6-month follow-ups.

The goal of this realist evaluation of a Danish Cognitive Behavioral Therapy (CBT)-based stress management for patients with work-related stress is to understand what works, for whom, in what circumstances.The main objectives are: To assess the effect of the stress management intervention on sustainable return to work. To investigate what contexts and mechanisms are associated with patients' return to work rates and level of perceived stress after having received the stress management intervention. To understand from a patient perspective how mechanisms work in specific contexts to generate effects of the stress management intervention. The evaluation comprises two observational studies and one interview study. The intervention cohort are patients with work-related stress who received the stress management intervention between 2012-2018. The comparison cohort are patients who would have been eligible to receive the intervention in 2011-2012, however they did not receive any intervention because it was not offered at that time. In study one return to work rates are compared between the intervention cohort and the comparison cohort to find out if the intervention can help patients return to work at a faster rate. Study two will investigate if there are any explanatory variables (such as work type, civil status or level of depressive symptoms) that may explain why some patients benefit more or less from the intervention. Study three will explore what it is about the intervention (mechanisms) the patients find are helping them to cope with stress or the opposite in specific circumstances.

Burnout is an increasing concern in the medical professions. This study aims to utilise established, validated self-report measures combined with continuous heart rate variability measurements to better understand the stress and recovery patterns experienced by doctors that may contribute to burnout. This mixed methods study design will consist of an ecological momentary assessment phase where participants will complete commonly used and validated real-time subjective measures while concurrently wearing a heart rate variability monitor to provide an objective measure of stress. Following on from this, participants of interest will be invited to participate in semi structured interviews to further explore their experiences of stress and recovery.