Table 2.
Results of bivariate and multivariate regression analysis: Relationships between lifestyle factors and work engagement (n=592)
| Variables | Bivariate | P value | Multivariate | P value | ||
|---|---|---|---|---|---|---|
| Beta | 95%CI | Beta | 95% CI | |||
| R-squared for multivariate regression=0.18 Adjusted R-squared=0.17 CI, confidence interval There were missing data on fish consumption for 16 participants and on K6 for 33 participants. Multivariate regression used data of 546 participants. | ||||||
| Dietary fish intake (3 times per week or more) | 2.52 | 1.43, 3.61 | <0.01 | 3.08 | 0.80, 5.37 | <0.01 |
| Exercise (1 hour or more per day) | 4.39 | 2.29, 6.49 | <0.01 | 3.16 | 1.14, 5.17 | <0.01 |
| Sleep (sufficient sleep, yes) | 5.74 | 3.67, 7.82 | <0.01 | 2.47 | 0.34, 4.59 | 0.02 |
| Tobacco use (current smoker) | –3.62 | –6.00, –1.23 | <0.01 | –2.42 | –4.78, –0.06 | 0.04 |
| Alcohol use (almost every day) | –0.24 | –2.44, 1.97 | 0.83 | –0.65 | –2.85, 1.54 | 0.56 |
| Age | 0.41 | 0.29, 0.53 | <0.01 | 0.29 | 0.17, 0.41 | <0.01 |
| Sex, women | –0.53 | –2.67, 1.60 | 0.62 | 0.03 | –2.06, 2.13 | 0.98 |
| K6 | –0.97 | –1.24, –0.69 | <0.01 | –0.77 | –1.05, –0.49 | <0.01 |