Table 4.
Multiple linear regression analysis predicting the reporting cardiac symptoms scores separately by four seasons (significant standardized regression coefficients β).
| Dependent Variable Sum of Cardiac Symptoms | ||||
|---|---|---|---|---|
| Independent Variables | Spring | Summer | Autumn | Winter |
| Gender (1 = M; 2 = W) | 0.104 | 0.171 | ||
| Interaction: Gender (1 = M; 2 = W) × (temperature) |
0.107 | |||
| Age ≥60 vs. <60 years | −0.057 | 0.072 | ||
| NYHA class | −0.085 | 0.169 | −0.249 | 0.091 |
| Solar radiation | −0.064 | |||
| Atmospheric pressure | −0.082 | −0.089 | ||
| May vs. March, April | −0.124 | |||
| August vs. June, July | 0.058 | |||
| October vs. September, November | −0.096 | |||
| December vs. January, February | 0.167 | |||
| Sum psychological symptoms subscale | 0.379 | 0.285 | 0.369 | 0.544 |
| Sum physical symptoms subscale | 0.199 | 0.291 | 0.201 | |
| Model | R2 = 0.266 F = 93.73 p < 0.001 |
R2 = 0.287 F = 71.01 p < 0.001 |
R2 = 0.242 F = 74.51 p < 0.001 |
R2 = 0.369 F = 171.34 p < 0.001 |
Number of subjects included in the analysis n = 410 WS patients, 6361 measurements.