Table 3. Multiple linear regression analysis of the presence of bad weather-related symptoms for the level of each additional condition.
For each of the four regression models, one dependent variable (workplace stress, gastrointestinal problems, irritability/agitation, or sleep disorders) and three explanatory variables (age, sex, and the presence of bad weather-related symptoms) were used. Data of the bad weather-related symptoms was used as a binary data based on the presence of at least one self-reported condition.
* Dummy variable (Male=1, Female=0; bad weather-related physical conditions “yes” = 1, “no” = 0)
VIF, variance inflation factor; NRS, Numerical Rating Scale
| Characteristics | Unstandardized coefficient | Standardized coefficient (β) | t | P-value | VIF | |
| B | Std. error | |||||
| Dependent variable: Workplace stress (NRS 0–10) | ||||||
| Age | -0.0052 | 0.0176 | -0.0264 | -0.30 | 0.7676 | 1.123 |
| Male * | 0.1020 | 0.2477 | 0.0352 | 0.41 | 0.6812 | 1.031 |
| Weather-related symptoms * | 0.8821 | 0.2736 | 0.2834 | 3.22 | 0.0016 | 1.092 |
| Dependent variable: Gastrointestinal problems (NRS 0–10) | ||||||
| Age | –0.0000 | 0.0171 | –0.0001 | –0.00 | 0.9991 | 1.102 |
| Male * | –0.0663 | 0.2383 | –0.0243 | –0.28 | 0.7814 | 1.021 |
| Weather-related symptoms * | 0.7357 | 0.2607 | 0.2538 | 2.82 | 0.0056 | 1.081 |
| Dependent variable: Irritability/agitation (NRS 0–10) | ||||||
| Age | –0.0040 | 0.0142 | –0.0247 | –0.28 | 0.7786 | 1.102 |
| Male * | 0.0111 | 0.1971 | 0.0047 | 0.06 | 0.9553 | 1.021 |
| Weather-related symptoms * | 0.8853 | 0.2156 | 0.3557 | 4.11 | <0.0001 | 1.081 |
| Dependent variable: Sleep disorders (NRS 0–10) | ||||||
| Age | –0.0013 | 0.0185 | –0.0063 | –0.07 | 0.9457 | 1.102 |
| Male * | 0.0126 | 0.2569 | 0.0044 | 0.05 | 0.9609 | 1.021 |
| Weather-related symptoms * | 0.6188 | 0.2810 | 0.2005 | 2.20 | 0.0295 | 1.081 |