TABLE 5.
Linear regression analyses to determine the influence of each predictor on decision delay.
Decision delay (log) |
|||||
B | SE | β | p | R2 | |
Knowledge of cardiovascular risk factors | −0.060 | 0.018 | −0.312 | 0.001 | 0.19 |
Knowledge of ACS symptoms | −0.048 | 0.017 | −0.254 | 0.006 | 0.12 |
Attribution to a cardiac cause (0 = no; 1 = yes) | −0.280 | 0.139 | −0.189 | 0.047 | 0.10 |
Perceived severity of symptoms | −0.024 | 0.038 | −0.058 | 0.540 | 0.07 |
Age | 0.001 | 0.007 | 0.012 | 0.888 | 0.01 |
Gender (0 = male; 1 = female) | 0.022 | 0.140 | 0.014 | 0.876 | 0.02 |
Education | −0.035 | 0.047 | −0.067 | 0.458 | 0.04 |
Type of ACS (0 = non-STEMI; 1 = STEMI) | −0.047 | 0.129 | −0.033 | 0.716 | 0.00 |
Days elapsed between cardiac event and questionnaire | −0.020 | 0.028 | −0.065 | 0.479 | 0.00 |