Abstract
OBJECTIVE: To identify combinations of two models of psychosocial stress at work among nursing teams and their associations with self-rated health. METHODS: This was a cross-sectional study among workers at three public hospitals in the municipality of Rio de Janeiro, Southeastern Brazil (N = 1307). In 2006, a multidimensional questionnaire including two scales for measuring stress at work (demand-control and effort-reward imbalance models) was administered. Partial and complete (including social support at work) demand-control models were considered, along with partial and complete (including excessive commitment to work) effort-reward models. Multiple logistic regression models were used to estimate adjusted odds ratios and their respective 95% confidence intervals. RESULTS: The dimensions of both models were independently associated with self-rated health, with odds ratios between 1.70 and 3.37. The partial demandcontrol model was less associated with health (OR = 1.79; 95%CI 1.26;2.53) than was the partial effort-reward imbalance model (OR = 2.27; 95%CI 1.57;3.30). Incorporation of social support and excessive commitment to work increased the strength of the demand-control and effort-reward imbalance models, respectively. Increased strength of association was observed when the two partial models were combined. CONCLUSIONS: The results indicate that the effort-reward imbalance model performed better for this specific group and for the outcome evaluated, and that there was an advantage in using complete models or combinations of partial models.
| Translated title of the contribution | Combined use of job stress models and self-rated health in nursing |
|---|---|
| Original language | Portuguese |
| Pages (from-to) | 145-152 |
| Number of pages | 8 |
| Journal | Revista de Saude Publica |
| Volume | 45 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2011 |
| Externally published | Yes |
Keywords
- Burnout
- Cross-Sectional studies
- Job satisfaction
- Nurses
- Professional
- Working conditions
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