Skip to main content

Table 1 Description of the dataset containing the 16 baseline variables that were measured among n = 2020 ATTICA study participants

From: Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

Variable used in ML

Male

Female

Age in years, mean ± SD

46 ± 13

45 ± 14

Smoking status at baseline, %(yes)

44%

37%

Years of school mean ± SD

12.3 ± 3.6

12.0 ± 3.8

MedDietScore (range 0–55), mean ± SD

24 ± 5

27 ± 7

Basic metabolic rate as a proxy of energy expenditure

1783 ± 228

1384 ± 128

Body mass index in kg/m2, mean ± SD

27.3 ± 3.9

25.2 ± 4.7

Diastolic blood pressure levels in mmHg, mean ± SD

82 ± 11

76 ± 11

Systolic blood pressure levels in mmHg, mean ± SD

127 ± 17

118 ± 18

History of hypertension (including medication), %

39%

24%

Glucose levels (in mg/dl), mean ± SD

95 ± 25

90 ± 22

History of diabetes mellitus (including medication), %

8%

6%

Total cholesterol levels (in mg/dl), mean ± SD

197 ± 42

191 ± 41

Triglycerides (in mg/dl), mean ± SD

140 ± 102

98 ± 56

History of hypercholesterolemia (including medication), %

46%

38%

Interleukin-6 levels (ng/ml), mean ± SD

1.5 ± 0.5

1.4 ± 0.5