@entity301 ( @entity301 ) is more common in @entity1 than @entity1 . Gender differences in @entity301 risk may be explained by a different impact that coronary risk factors may have for @entity1 and @entity1 , in the development of @entity301 . Thus, the authors aimed to analyze the extent to which cardiovascular risk factors can explain the gender difference in @entity301 risk, at population level. During 2000-2001, 848 hospitalized @entity1 with a first event of @entity1187 and 1078 controls, paired by gender, age, and region with no evidence of overt @entity301 , were randomly selected from all Greek regions. Data revealed that @entity1 experiencing their first @entity1187 were significantly older than @entity1 (65.3+/-8 vs. 59.7+/-10 years old; p<0.01), and that @entity1187 occurred more frequently in @entity1 than @entity1 (frequency ratio 4:1, @entity1 : @entity1 ). When adjusting for age, multivariate analysis revealed that both family history of premature @entity301 and @entity1007 were associated with higher coronary risk in @entity1 than @entity1 (odds ratio [OR]=5.11 vs. 3.14; p<0.05 for family history and OR=3.77 vs. 2.19; p<0.05 for @entity1007 ). The presence of @entity101 however, had a significantly greater effect in @entity1 than @entity1 (OR=4.86 vs. 1.66; p<0.01). Also, higher education level and the adoption of a Mediterranean diet had a more protective effect in @entity1 than @entity1 (OR=0.53 vs. 0.87; p<0.001; and OR=0.80 vs. 0.96; p<0.05, respectively). There was also evidence of a greater association between @entity308 and higher coronary risk in @entity1 than @entity1 (OR=1.93 vs. 1.58; p<0.07). The impact of other factors (i.e., smoking, @entity6 , body mass index, physical activity, @entity167 consumption, and financial status), on the coronary risk difference between genders was similar for @entity1 and @entity1 . In conclusion, our findings suggest that the contribution of certain coronary risk factors to the risk for @entity301 is different for @entity1 and @entity1 .

Gender differences on the risk evaluation of XXXX : the CARDIO2000 study.

@entity1 :: ('9606', 'Species') :: ['women', 'patients', 'men'] @entity1187 :: ('MESH:D054058', 'Disease') :: ['acute coronary syndrome'] @entity308 :: ('MESH:D003866', 'Disease') :: ['depression'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity1007 :: ('MESH:D006937', 'Disease') :: ['hypercholesterolemia'] @entity301 :: ('MESH:D003327', 'Disease') :: ['CHD', 'Coronary heart disease'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity167 :: ('CHEBI:16236', 'Chemical') :: ['alcohol']
@entity1187 :: (MESH:D054058,Disease) :: ['acute coronary syndromes']
