Table 1.
Total (%) | Female (%) | Male (%) | P value | |
---|---|---|---|---|
n = 20251 (100) | n = 510 (25.2) | n = 1515 (74.8) | . | |
Age, µ (± SD) years | 69.5 (± 10.9) | 71.1 (± 11.1) | 68.9 (± 10.8) | 0.0001 |
Below 40 | 16 (0.7) | 5(0.2) | 11 (0.5) | 0.0001 |
40–59 | 426 (21.1) | 80 (4.0) | 346 (17.1) | 0.0001 |
60–79 | 1245 (61.5) | 318 (15.7) | 927 (45.8) | 0.0001 |
80 above | 337 (16.7) | 107 (5.3) | 230 (11.4) | 0.0001 |
Family history, CAD | 869 (42.9) | 213 (41.8) | 656 (43.3) | 0.76 |
Diabetes | 426 (21.0) | 97 (19.0) | 329 (21.7) | 0.22 |
Dietary | 378 (18.7) | 83 (16.3) | 295 (19.5) | . |
Insulin | 48 (2.4) | 14 (2.7) | 34 (2.2) | . |
Hyperlipidaemia2 | 543 (26.9) | 166 (32.5) | 377 (24.9) | 0.002 |
Hypertension | 1099 (54.3) | 286 (56.1) | 813 (53.7) | 0.37 |
Obesity (BMI status) | . | . | . | 0.0001 |
Elevated BMI | 1570 (77.5) | 356 (69.8) | 1214 (80.1) | . |
Low/normal weight | 453 (22.4) | 153 (30.0) | 300 (19.8) | . |
Smoking status | . | . | . | 0.001 |
Current smoker | 458 (22.7) | 139 (27.3) | 319 (21.1) | . |
Ex-smoker | 815 (40.2) | 169 (33.1) | 646 (42.6) | . |
Never smoked | 749 (37.0) | 201 (39.4) | 548 (36.2) | . |
SIMD groups3 | . | . | . | 0.29 |
Accessible | 244 (12.0) | 69 (13.5) | 175 (11.6) | . |
Urban | 518 (25.6) | 116 (22.7) | 402 (26.5) | . |
Remote | 1140 (56.3) | 295 (57.8) | 845 (55.8) | . |
SIMD ranking4 | . | . | . | 0.17 |
1 | 170 (8.4) | 45 (8.8) | 125 (8.3) | . |
2 | 316 (15.6) | 96 (18.8) | 220 (14.5) | . |
3 | 690 (34.1) | 172 (33.7) | 518 (34.2) | . |
4 | 591 (29.3) | 136 (2.6) | 455 (30.0) | . |
5 | 173 (8.6) | 41 (8.0) | 132 (8.7) | . |
Risk factor count | . | . | . | 0.15 |
0 | 96 (4.7) | 31 (6.1) | 65 (4.3) | . |
1 | 504 (24.9) | 122 (23.9) | 382 (25.2) | . |
2 | 801 (39.6) | 188 (36.9) | 613 (40.5) | . |
3 | 512 (25.3) | 133 (26.1) | 379 (25.0) | . |
4 | 106 (5.2) | 33 (6.5) | 73 (4.8) | . |
5 | 6 (0.3) | 3 (0.6) | 3 (0.2) | . |
SIMD, Scottish index of multiple deprivation; CAD, coronary artery disease.
1Duplicates represent 345 counts and makes up to about 17% of the population dataset.
2Missing data represents 889 counts and makes up to 44% of the population.
3Missing data represents 123 counts and makes up to 6% of the population.
4Ranking is in quintiles. Missing data represents 85 counts and makes up to 4.2% of the population.