Table 3.
Results of logistic regression analyses carried out on the lifestyles assumed as dependent variables
| Dependent variables | |||||
|---|---|---|---|---|---|
| Independent variables | BMI | Smoke | Alcohol | PA | Screen time |
| OR (CI 95%) | |||||
| Age class | |||||
| 18–21 | Reference | Reference | Reference | Reference | Reference |
| 22–24 | 1.11 (0.83–1.49) | 1.35 (1.04–1.76) | 0.92 (0.73–1.15) | 1.09 (0.86–1.37) | 1.13 (0.90–1.43) |
| ≥ 25 | 1.51 (1.11–2.06) | 1.18 (0.88–1.59) | 0.81 (0.63–1.05) | 1.24 (0.95–1.61) | 0.98 (0.75–1.28) |
| Gender | |||||
| female | Reference | Reference | Reference | Reference | Reference |
| male | 2.29 (1.80–2.92)* | 0.99 (0.80–1.25) | 1.86 (1.50–2.32)* | 0.66 (0.54–0.81)* | 1.70 (1.40–2.09)* |
| City | |||||
| Bari | Reference | Reference | Reference | Reference | Reference |
| Naples | 1.34 (1.04–1.70)* | 0.95 (0.75–1.20) | 0.68 (0.54–0.86)* | 0.82 (0.66–1) | 1.98 (1.61–2.44)* |
| Degree course | |||||
| others | Reference | Reference | Reference | Reference | Reference |
| life sciences | 0.75 (0.57–0.99)* | 0.55 (0.41–0.72)* | 0.72 (0.56–0.93) | 0.54 (0.43–0.67)* | 0.87 (0.69–1.09) |
| Occupational status | |||||
| unemployed | Reference | Reference | Reference | Reference | Reference |
| jobbing/employed | 0.85 (0.66–1.09) | 0.66 (0.52–0.83)* | 0.77 (0.62–0.97) | 1.53 (1.24–1.89)* | 1.19 (0.96–1.47) |
| Residential status | |||||
| residing in the area | Reference | Reference | Reference | Reference | Reference |
| commuter | 1.16 (0.80–1.68) | 1.05 (0.75–1.46) | 0.82 (0.58–1.14) | 1.38 (1.01–1.87) | 1.10 (0.81–1.50) |
| not residing but living in the area | 1.14 (0.85–1.52) | 0.84 (0.64–1.10) | 0.91 (0.70–1.19) | 1.10 (0.86–1.39) | 1.01 (0.79–1.29) |
*p < 0.05