Table 2.
Standardized parameter estimates for length of stay in linear regression models.
| Variable | Unstandardized coefficients (standard error) | ||
|---|---|---|---|
| Tree versus man-made | Brightness | ||
| Model I | Model II | ||
| Age in years | 0.024 (0.097) | −0.002 (0.098) | 0.009 (0.97) |
| Sex a | 0.83 (2.3) | 0.90 (2.3) | 0.831 (2.3) |
| Diagnosis b | |||
| F32.1 | −8.4 (5.1) | −8.86 (5.2) | −7.68 (5.1) |
| F32.2 | −0.05 (2.6) | 0.012 (2.6) | −0.17 (2.6) |
| F32.3 | −7.6 (6.9) | −8.15 (6.9) | −6.43 (6.9) |
| F33.1 | −10.6 (9.0) | −11.91 (9.0) | −10.15 (9.0) |
| F33.3 | −10.2* (4.8) | 10.5* (4.8) | 10.1* (4.8) |
| Environmental variables | |||
| Tree versus man-made c | −4.5 (2.6) | ||
| Ratio of green pixel | −0.001 (0.002) | −0.008* (0.004) | |
| Brightness | −0.460* (0.2) | ||
Abbreviation: CI, confidence interval.
*
p < 0.05.
a
With category “female” as reference.
b
Diagnoses are entered as dummy-coded variables. We chose major depressive disorder, recurrent, severe without psychotic features (F33.2) as our reference category as it represented the largest group.
c
With category “tree” as reference.