The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Risk Factors for Acute Myocardial Infarction in Latin America: The INTERHEART Latin American Study
Open accessAbstract
Background— Current knowledge of the impact of cardiovascular risk factors in Latin America is limited. Methods and 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.
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Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026
Self-citationGlobal mortality, disability, and the contribution of risk factors: Global Burden of Disease Study
Murray, C. J., & Lopez, A. D. (1997) · The Lancet · doi:10.1016/s0140-6736(96)07495-8 · Cited by 4,492
Lamarche, B., Moorjani, S., Lupien, P. J., Cantin, B., Bernard, P.-M., Dagenais, G. R., & Despre´s, J.-P. (1996) · Circulation · doi:10.1161/01.cir.94.3.273 · Cited by 476
Lipoprotein predictors of the severity of coronary artery disease in men and women.
Reardon, M. F., Nestel, P. J., Craig, I. H., & Harper, R. W. (1985) · Circulation · doi:10.1161/01.cir.71.5.881 · Cited by 266
Cited by
Aune, D., Giovannucci, E., Boffetta, P., Fadnes, L. T., Keum, N., Norat, T., Greenwood, D. C., Riboli, E., Vatten, L. J., & Tonstad, S. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyw319 · Cited by 2,419
Racial/ethnic differences in dyslipidemia patterns
Frank, A. T. H., Zhao, B., Jose, P. O., Azar, K. M. J., Fortmann, S. P., & Palaniappan, L. P. (2014) · Circulation · doi:10.1161/circulationaha.113.005757 · Cited by 327
The implications of trade liberalization for diet and health: a case study from Central America
Thow, A. M., & Hawkes, C. (2009) · Globalization and Health · doi:10.1186/1744-8603-5-5 · Cited by 185
Lopez-Lopez, J. P., Cohen, D. D., Ney-Salazar, D., Martinez, D., Otero, J., Gomez-Arbelaez, D., Camacho, P. A., Sanchez-Vallejo, G., Arcos, E., Narvaez, C., et al. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01256-z · Cited by 54
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Metadata
- Authors
- Lanas, F., Avezum, A., Bautista, L. E., Diaz, R., Luna, M., Islam, S., & Yusuf, S.
- Venue
- Circulation
- Published
- 2007-03-06
- Volume
- 115
- Issue
- 9
- Pages
- 1067-1074
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2112820664
- Cited by
- 351
- References
- 4
- FWCI
- 19.01
- Type
- journal article
- Language
- en
- Open access
- green
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