Table 1.
Comparison of main categorical variables between the two clusters identified.
| Category (%) | Cluster 1 – low risk N = 3,913 | Cluster 2 – high risk N = 483 | p for difference |
|---|---|---|---|
| Men | 2,346 (60.0%) | 362 (74.9%) | 6 × 10−11 |
| Smoke | <10−15 | ||
| Current smokers | 450 (11.5%) | 94 (19.5%) | |
| Previous smokers | 268 (6.8%) | 94 (25.3%) | |
| Obesity (BMI ≥ 30 Kg/m2) | 546 (13.9%) | 64 (13.3%) | 0.73 |
| Myocardial infarction | 127 (3.2%) | 335 (69.4%) | <10−15 |
| Heart failure | 171 (4.4%) | 315 (65.2%) | <10−15 |
| Diabetes | 621 (15.9%) | 276 (57.1%) | <10−15 |
| Hypertension | 1,828 (46.7%) | 453 (93.8%) | <10−15 |
| Cancer | 392 (10.0%) | 89 (18.4%) | 2 × 10−07 |
| Lung disease | 415 (10.6%) | 207 (42.8%) | <10−15 |
P for difference resulting from comparison of the clusters—through Fisher's Exact Test (for binary variables) or Chi-squared test (for nonbinary categorical variables, i.e., smoke)—are reported, along with absolute and % frequency of each condition within each cluster.