Mental health risk in human services work across Europe
The predictive role of employment in various sectors
Bibliographic Data
| ID | 22071036 |
|---|---|
| Authors | Ágnes Győri (0000-0003-3154-3043, Institute for Sociology), Éva Perpék (0000-0002-5889-7995, Centre for Social Sciences), Szilvia Ádám (0000-0003-0052-3525, Semmelweis University, corresponding author) |
| Year | 2025 |
| Volume | 12 |
| Pages | 1407998-1407998 |
| Publication date | 2025-01-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1407998 |
| PMID | 39886391 |
| OpenAlex | W4406337707 |
| Language | EN |
| Citations received | 2 |
| References cited | 40 |
Background: Human services occupations are highly exposed to mental health risks, thus psychosocial risk management is critical to assure healthy and safe working conditions, promote mental health and commitment, and prevent fluctuation of employees. However, still little is known about prominent psychosocial risk factors in various human services work. Objectives: To identify prominent psychosocial risk factors of mental health in human services occupations and to explore their individual and organizational correlates in 19 European countries. Methods: Cross-sectional survey using data from the European Union's Labor Force Survey among 379,759 active employees in 19 European countries. First, a descriptive analysis was carried out to establish the prevalence of mental health risk factors. Then sociodemographic correlates of occupational mental health risk factors were assessed by means of Pearson's chi-squared test. Finally, correlations were explored between perceived psychosocial risk factors and human vs. non-human services occupations, as well as contextual variables by applying multilevel logistic and multinomial regression analyses. Results: The prevalence of mental health risk was 45.1%. Work overload (19.9%), dealing with difficult clients (10.2%), and job insecurity (5.8%) were the most prevalent mental health risk factors among European employees. We identified significant differences in the prevalence of mental health risks and specific mental health risk factors among employees according to sex, age, and educational attainment. The prevalence of mental health risks was significantly higher among women (47.0%, man: 43.3%), workers aged 35-50 years (47.5%, >50: 44.4%, <35: 42.3%), and those with the higher level of education (51.9%, secondary with diploma: 42.6%, elementary: 36.2%). Employees working in healthcare in Northern Europe were most likely to be exposed to mental health risks (AME = 0.717). Working in healthcare in Northern Europe was the strongest predictor of reporting work overload (AME = 0.381). Working in social care in Central and Eastern Europe was the strongest predictor of reporting dealing with difficult clients (AME = 0.303) as the most prevalent mental health risk factor. Conclusion: Understanding the impact of employment in specific human services occupations on mental health and its specific occupational stressors are vital to improve mental health and safety at work and maintain high quality services
Business · Environmental health · Mental health · Psychiatry · Employment and Welfare Studies · Engineering · Healthcare professionals’ stress and burnout · Medicine · Workplace Health and Well-being
Mental health problems faced by healthcare workers due to the Covid-19 pandemic–A review
The relationship between job satisfaction and health
Burnout and physical and mental health among Swedish healthcare workers
The Gender Wage Gap
Gendering organizational analysis
Burnout, negative emotions, and wellbeing among social workers in China after community lockdowns during the Covid-19 pandemic
Health Care Workers' Mental Health During the First Weeks of the Sars-CoV-2 Pandemic in Switzerland—A Cross-Sectional Study
A Proposed Model of Health Professionals' Grieving Process
Best Practices for Estimating, Interpreting, and Presenting Nonlinear Interaction Effects
Resilience and stress in frontline social workers during the Covid‐19 pandemic in Singapore
Work conditions and burnout
Unique aspects of stress in human service work
Welfare regimes, labour policies and unhealthy psychosocial working conditions
Theories of Interorganizational Relations in the Human Services
Discourses of ambition, gender and part-time work
The impact of national legislation on psychosocial risks on organisational action plans, psychosocial working conditions, and employee work-related stress in Europe
Mental Health and Working Conditions in Europe
Coping with job stress and burnout in the human services
Inequality Regimes
Hegemonic Masculinity
Income Differences Between Men and Career Women
| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |