title: Risk factors for acute myocardial infarction in Latin America: the INTERHEART Latin American study.
abstract: BACKGROUND
  Current knowledge of the impact of cardiovascular risk factors in Latin America is limited.
  
  
  RESULTS
  As part of the INTERHEART study, 1237 cases of first acute myocardial infarction and 1888 age-, sex-, and center-matched controls were enrolled from Argentina, Brazil, Colombia, Chile, Guatemala, and Mexico. History of smoking, hypertension, diabetes mellitus, diet, physical activity, alcohol consumption, psychosocial factors, anthropometry, and blood pressure were recorded. Nonfasting blood samples were analyzed for apolipoproteins A-1 and B-100. Logistic regression was used to estimate multivariate adjusted odds ratios (ORs) and their 95% confidence intervals (CIs). Persistent psychosocial stress (OR, 2.81; 95% CI, 2.07 to 3.82), history of hypertension (OR, 2.81; 95% CI, 2.39 to 3.31), diabetes mellitus (OR, 2.59; 95% CI, 2.09 to 3.22), current smoking (OR, 2.31; 95% CI, 1.97 to 2.71), increased waist-to-hip ratio (OR for first versus third tertile, 2.49; 95% CI, 1.97 to 3.14), and increased ratio of apolipoprotein B to A-1 (OR for first versus third tertile, 2.31; 95% CI, 1.83 to 2.94) were associated with higher risk of acute myocardial infarction. Daily consumption of fruits or vegetables (OR, 0.63; 95% CI, 0.51 to 0.78) and regular exercise (OR, 0.67; 95% CI, 0.55 to 0.82) reduced the risk of acute myocardial infarction. Abdominal obesity, abnormal lipids, and smoking were associated with high population-attributable risks of 48.5%, 40.8%, and 38.4%, respectively. Collectively, these risk factors accounted for 88% of the population-attributable risk.
  
  
  CONCLUSIONS
  Interventions aimed at decreasing behavioral risk factors, lowering blood pressure, and modifying lipids could have a large impact on the risk of acute myocardial infarction among Latin Americans.
authors.affiliation: Facultad de Medicina, Universidad de La Frontera M, Montt 112 Temuco, Chile. flanas@ufro.cl
authors.forename: Fernando
authors.initials: F
authors.lastname: Lanas
authors.forename: Alvaro
authors.initials: A
authors.lastname: Avezum
authors.forename: Leonelo E
authors.initials: LE
authors.lastname: Bautista
authors.forename: Rafael
authors.initials: R
authors.lastname: Diaz
authors.forename: Max
authors.initials: M
authors.lastname: Luna
authors.forename: Shofiqul
authors.initials: S
authors.lastname: Islam
authors.forename: Salim
authors.initials: S
authors.lastname: Yusuf
mesh_terms: D050153:Abdominal Fat; D000328:Adult; D000428:Alcohol Drinking / Q000453:epidemiology; D016632:Apolipoprotein A-I / Q000097:blood; D053299:Apolipoprotein B-100 / Q000097:blood; D016022:Case-Control Studies; D015897:Comorbidity; D003920:Diabetes Mellitus / Q000453:epidemiology; D004032:Diet; D050171:Dyslipidemias / Q000453:epidemiology; D005006:Ethnicity; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology; D007843:Latin America / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D009043:Motor Activity; D009203:Myocardial Infarction / Q000453:epidemiology* / Q000209:etiology / Q000517:prevention & control; D009765:Obesity / Q000453:epidemiology; D016017:Odds Ratio; D015995:Prevalence; D011584:Psychology; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology; D013315:Stress, Psychological / Q000453:epidemiology; D049629:Waist-Hip Ratio
chemical_list: D016632:Apolipoprotein A-I; D053299:Apolipoprotein B-100