From: Which risk factor best predicts coronary artery disease using artificial neural network method?
 | Without CAD (n = 215) | Premature CAD (n = 200) | P-Value | Crude OR | 95% CI OR | |
---|---|---|---|---|---|---|
Demographic characteristics | ||||||
Age | 53.61 ± 8.03 | 54.62 ± 7.27 | 0.185 | 1.02 | 0.99–1.04 | |
BMI | 27.55 ± 5.21 | 26.94 ± 5.46 | 0.241 | 0.98 | 0.94–1.02 | |
WC | 93.12 ± 11.98 | 93.76 ± 10.42 | 0.59 | 1 | 0.98–1.02 | |
SBP | 120.87 ± 16.03 | 123.87 ± 17.51 | 0.068 | 1.01 | 0.10–1.02 | |
DBP | 78.81 ± 9.88 | 79.51 ± 11.01 | 0.497 | 1.35 | 0.77–2.37 | |
Sex (female) n (%) | 155 (72) | 73 (36.5) | < 0.001 | 0.22 | 0.15–0.34 | |
Education n (%) | No formal education | 60 (27.9) | 50 (25) | 0.053 | 0.48 | 0.25–0.92 |
Primary school | 75 (34.9) | 52 (26) | 0.40 | 0.21–0.76 | ||
Gaudiness school | 26 (12.1) | 23 (11.5) | 0.51 | 0.24–1.10 | ||
High school | 32 (14.9) | 37 (18.5) | 0.67 | 0.33–1.36 | ||
BS and MS | 22 (10.2) | 38 (19) | Reference | |||
Job n (%) | Employee | 43 (20) | 49 (24.5) | < 0.001 | 0.41 | 0.19–0.90 |
Self-employee | 31 (14.4) | 52 (26) | 0.61 | 0.28–1.35 | ||
housewife | 129 (60) | 66 (33) | 0.19 | 0.09–0.38 | ||
Jobless and retired | 12 (5.6) | 33 (16.5) | Reference | |||
Marital status n (%) | married | 192 (89.3) | 187 (93.5) | 0.129 | Reference | |
single | 23 (10.7) | 13 (6.5) | 1.72 | 0.85–3.50 | ||
Family Economic | 6.55 ± 2.29 | 6.75 ± 2.63 | 0.419 | 1.03 | 0.96–1.12 | |
Smoke n (%) | 28 (13) | 73 (36.5) | < 0.001 | 3.84 | 2.35–6.27 | |
Opium n (%) | 32 (16.3) | 75(37.7) | < 0.001 | 3.11 | 1.96–4.94 | |
Clinical Risk factors | ||||||
DM n (%) | 56 (26.2) | 73 (36.7) | 0.021 | 1.64 | 1.08–2.49 | |
High FBS n (%) | 35 (39.3) | 54 (27.1) | 0.008 | 1.91 | 1.18–3.07 | |
High LDL n (%) | 29 (13.5) | 15 (7.5) | 0.05 | 0.52 | 0.27–1.01 | |
High Chol n (%) | 10 (4.7) | 6 (3) | 0.388 | 0.64 | 0.23–1.79 | |
High TG n (%) | 28 (13) | 33 (16.6) | 0.307 | 1.33 | 0.77–2.29 | |
Low HDL n (%) | 106 (49.3) | 98 (49.2) | 0.991 | 0.10 | 0.68–1.47 | |
DLP n (%) | 165 (76.7) | 148 (74.4) | 0.574 | 0.88 | 0.56–1.38 | |
History DLP | 84(39.1) | 95(47.5) | 0.09 | 1.41 | 0.96–2.08 | |
History DM | 49(22.8) | 63(31.7) | 0.047 | 1.57 | 1.01–2.43 | |
History HTN | 82(38.1) | 85(42.5) | 0.37 | 1.2 | 0.81–1.78 | |
Life Style Risk factors | ||||||
Stress | SSS | 10.01 ± 3.52 | 10.62 ± 3.04 | 0.061 | 1.05 | 0.99–1.12 |
PE | 9.00 ± 0.2.10 | 9.23 ± 2.17 | 0.273 | 1.05 | 0.96–1.15 | |
PG | 6.55 ± 1.44 | 6.81 ± 1.27 | 0.061 | 1.15 | 0.99–1.32 | |
Acceptance | 3.06 ± 0.93 | 3.33 ± 0.79 | 0.002 | 1.43 | 1.14–1.8 | |
Avoidance | 3.21 ± 1.45 | 3.29 ± 1.60 | 0.599 | 1.03 | 0.91–1.18 | |
Anxiety | 5.79 ± 2.59 | 5.11 ± 2.53 | 0.007 | 0.90 | 0.83–0.97 | |
Depression | 8.93 ± 2.25 | 8.84 ± 2.26 | 0.68 | 0.98 | 0.90–1.07 | |
Poison Exposure n (%) | 40 (18.6) | 64 (32) | 0.002 | 2.06 | 1.31–3.24 | |
Use Mobile n (%) | 185 (86) | 180 (90) | 0.216 | 1.46 | 0.80–2.66 | |
Seasonal allergy | 59(27.4) | 28(14) | 0.001 | 0.84 | 0.75–0.94 | |
Medical allergy | 18(8.4) | 11(5.5) | 0.255 | 0.90 | 0.72–1.12 | |
Food allergies | 11(5.1) | 7(3.5) | 0.417 | 0.91 | 0.73–1.13 | |
Skin allergy | 28(13) | 17(8.5) | 0.126 | 0.84 | 0.70-1.00 | |
Sleep quality | 7.41 ± 1.58 | 7.52 ± 1.66 | 0.53 | 1.04 | 0.92–1.17 | |
Sex activity | 6.27 ± 1.70 | 6.88 ± 1.72 | < 0.001 | 1.24 | 1.10–1.39 |