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. Author manuscript; available in PMC: 2009 Jul 1.
Published in final edited form as: Drug Alcohol Depend. 2008 Mar 19;96(1-2):49–56. doi: 10.1016/j.drugalcdep.2008.01.027

Table 2.

Logistic Regression Models for Acute Myocardial Infarction For Patients Aged 18 to 44 Years, 2000 to 2003

Acute Myocardial Infarction (N=11,011)
Risk Factor Unadjusted OR* 95% CI for Unadjusted OR Adjusted OR 95% CI for Adjusted OR p for Adjusted OR
Amphetamine Abuse 2.09 (1.63—2.63) 1.61 (1.24—2.04) 0.0004
Cocaine Abuse 2.69 (2.45—2.94) 2.14 (1.94—2.36) <0.0001
Tobacco 10.21 (9.82—10.61) 6.32 (6.06—6.59) <0.0001
Alcohol Abuse 1.04 (0.94—1.15) 0.55 (0.50—0.61) <0.0001
Lipid Disorder 29.90 (28.72—31.14) 11.61 (11.06—12.19) <0.0001
Hypertension 7.76 (7.47—8.07) 2.90 (2.77—3.04) <0.0001
Diabetes 4.26 (4.06—4.46) 1.30 (1.23—1.37) <0.0001
Obesity 3.29 (3.09—3.50) 1.05 (0.98—1.12) 0.179
Congenital Defects 3.70 (2.88—4.67) 2.53 (1.94—3.24) <0.0001
Coagulation Defects 1.18 (1.01—1.37) 1.27 (1.08—1.49) 0.004
*

Unadjusted odds ratios were estimated for each risk factor and AMI using simple logistic regression

Adjusted odds ratios were estimated for each risk factor and AMI, while controlling for the other risk factors, using multiple logistic regression