Table 1.
Baseline Characteristics in the Random Subcohort and Cases
| Subcohort | Cases | P Value a | |
|---|---|---|---|
| n | 790 | 231 | |
| Age, y | 67.2 ± 5.9 | 69.5 ± 6.5 | <0.001 |
| Sex, % women | 57.0 | 39.4 | <0.001 |
| BMI, kg/m2 | 29.7 ± 3.6 | 29.6 ± 3.7 | 0.70 |
| Obesity (BMI ≥30), % | 45.5 | 45.0 | 0.94 |
| Intervention group, % | 0.14 | ||
| MD + EVOO | 37.3 | 35.5 | |
| MD + nuts | 33.1 | 28.1 | |
| Control | 29.6 | 36.4 | |
| Family history of CHD, % | 25.0 | 19.1 | 0.06 |
| Hypertension, % | 83.6 | 82.7 | 0.73 |
| Dyslipidemia, % | 73.6 | 58.4 | <0.001 |
| Diabetes, % | 47.0 | 64.5 | <0.001 |
| Smoking, % | <0.001 | ||
| Never | 62.2 | 45.0 | |
| Former | 25.4 | 35.1 | |
| Current | 12.4 | 19.9 |
Data are expressed as means ± SD or percentage.
Both the subcohort (n = 790) and cases (n = 231) column include the 37 overlapping cases. Because there were individuals in both the subcohort group and cases group, we compared the observed means in the cases to the expected means calculated among the entire subcohort.
Abbreviations: BMI, body mass index; Q, quartile.
a
P values for trend were calculated using regression models with the median value of each quartile category as the independent variable for continuous variables, and χ2 test for categorical variables.