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A quantitative examination of sleep quality, burnout, psychological distress, and social support availability of electrical workers in Ontario, Canada.
- Source :
-
Discover Public Health . 8/12/2024, Vol. 21 Issue 1, p1-13. 13p. - Publication Year :
- 2024
-
Abstract
- Electrical workers experience difficult psychosocial working conditions that may expose them to poor mental health outcomes. This study aims to explore the relationships between psychological distress, access to social support, burnout, and sleep quality in Canadian electrical workers. A 30-item cross-sectional survey including the Pittsburgh Sleep Quality Index, Kessler's Psychological Distress Scale, Copenhagen Burnout Inventory, and social support questions from the WHO-QoL-BREF were completed by 118 electrical workers. Data was analyzed to determine differences between groups, correlations between variables, and to identify predictors of poor sleep quality. No significant differences were found in burnout scores and subjective sleep quality between apprentices, electricians, and contractors. Apprentices reported being more psychologically distressed than electricians (p = 0.005) and contractors (p < 0.001). Electrical workers preferred social support from spouses, family, or friends when things get tough at work. Poor sleep quality was correlated with personal burnout (r = 0.45), work-related burnout (r = 0.37), and psychological distress (r = 0.39); however, these factors did not predict poor sleep quality. The study suggests a need for improved interpersonal communication, stress management, and help-giving behavior among electrician-apprentice and contractor-apprentice relationships in the workplace. Future research should explore the cultural and social dynamics between workers to better understand their impacts on health and wellbeing. [ABSTRACT FROM AUTHOR]
- Subjects :
- *CROSS-sectional method
*STATISTICAL correlation
*PEARSON correlation (Statistics)
*PSYCHOLOGICAL burnout
*PSYCHOLOGICAL distress
*STRESS management
*DATA analysis
*QUESTIONNAIRES
*WORK environment
*HEALTH
*MULTIPLE regression analysis
*BLUE collar workers
*QUANTITATIVE research
*HELP-seeking behavior
*RESEARCH
*COMMUNICATION
*ONE-way analysis of variance
*STATISTICS
*SLEEP quality
*SOCIAL support
*INTERPERSONAL relations
*DATA analysis software
*PSYCHOSOCIAL factors
*WELL-being
*INDUSTRIAL hygiene
Subjects
Details
- Language :
- English
- ISSN :
- 30050774
- Volume :
- 21
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Discover Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 178969186
- Full Text :
- https://doi.org/10.1186/s12982-024-00177-y