Vallone, Federica, Smith, Andrew Paul ![]() |
Preview |
PDF
- Accepted Post-Print Version
Download (259kB) | Preview |
Abstract
Aim Basing on the Demands‐Resources and Individual‐Effects (DRIVE) Model developed by Mark and Smith in 2008, the study aims to propose and test a multi‐dimensional model that combines work characteristics, individual characteristics, and work–family interface dimensions as predictors of nurses' psychophysical health. Methods Self‐report questionnaires assessing work characteristics (effort; rewards; job demands; job control; social support), individual characteristics (socio‐demographic characteristics; coping strategies; Type A behavioral pattern; Type D personality), work–family interface dimensions (work–family interrole conflict; job and life satisfaction), and health outcomes (psychological disease; physical disease) were completed by 450 Italian nurses. Logistic regression analyses and Hayes' PROCESS tool were used to test the proposed model by exploring main, moderating and mediating hypotheses. Results Findings confirmed the proposed theoretical framework including work characteristics, individual characteristics, and work–family interface dimensions as significant predictors of nurses' psychophysical disease. Specific main, moderating and mediating effects were found, providing a wide set of multiple risks and protective factors. Conclusions The study allowed a broader understanding of nurses' work‐related stress process, providing a comprehensive tool for the assessment of occupational health and for the definition of tailored policies and interventions in public healthcare organizations to promote nurses' wellbeing.
Item Type: | Article |
---|---|
Date Type: | Published Online |
Status: | Published |
Schools: | Psychology |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology |
ISSN: | 0385-549X |
Date of First Compliant Deposit: | 19 August 2020 |
Date of Acceptance: | 23 June 2020 |
Last Modified: | 30 Nov 2024 09:00 |
URI: | https://orca.cardiff.ac.uk/id/eprint/134250 |
Citation Data
Cited 14 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |