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American Journal of Clinical Nutrition, Vol. 82, No. 6, 1336-1345, December 2005
© 2005 American Society for Clinical Nutrition

ORIGINAL RESEARCH COMMUNICATION

Alcohol intake, drinking patterns, and risk of nonfatal acute myocardial infarction in Costa Rica1,2,3

Edmond K Kabagambe, Ana Baylin, Edward Ruiz-Narvaez, Eric B Rimm and Hannia Campos

1 From the Departments of Nutrition (EKK, AB, ER-N, EBR, and HC) and Epidemiology (ER-N and EBR), Harvard School of Public Health, Boston, MA, and Centro Centroamericano de población, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica (HC)

2 Supported by grants HL071888 and HL60692 from the National Institutes of Health.

3 Address reprint requests to H Campos, Department of Nutrition, Building 1, Room 201A, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115. E-mail: hcampos{at}hsph.harvard.edu.


   ABSTRACT
TOP
 ABSTRACT
INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Background: Moderate alcohol consumption is associated with a lower risk of myocardial infarction (MI). Whether alcohol is truly protective or whether the amount, type, or pattern of intake is the most important is still under debate.

Objective: The purpose of this study was to determine whether alcohol intake and drinking patterns are associated with plasma lipids and the risk of MI in Costa Ricans, a population with a low intake of wine.

Design: We conducted a study of 2090 cases of a first nonfatal acute MI and 2090 population-based controls matched by age, sex, and residence in Costa Rica, a country with diet and lifestyles different from those of Western countries. Alcohol and dietary intakes were assessed by using validated questionnaires.

Results: In a multivariate conditional regression model that controlled for other cardiovascular disease risk factors, the lowest risk of MI [odds ratio (OR) = 0.44; 95% CI: 0.31, 0.61] was observed for those who drank on average 3 drinks/wk (compared with lifelong abstainers). When we looked at the frequency of consumption, we found that the risk of MI among daily drinkers (OR = 0.64; 95% CI: 0.41, 1.01) was not significantly different (P = 0.23) from that of weekend drinkers (OR = 0.76; 95% CI: 0.59, 0.98) regardless of the amount consumed. HDL cholesterol increased with the amount and frequency of alcohol intake. Similar to a few other populations, apparent protection was observed at very low alcohol intakes.

Conclusion: Low to moderate consumption of alcohol 1–2 d/wk is independently associated with a reduced risk of MI.

Key Words: Myocardial infarction • coronary heart disease • CHD • alcohol • patterns • HDL • cholesterol • Costa Rica


   INTRODUCTION
TOP
 ABSTRACT
 INTRODUCTION
SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Moderate consumption of alcohol in developed countries has been associated with a reduced risk of myocardial infarction (MI) (1–3). This evident protection is thought to be due to improved plasma lipid profiles, particularly an increase in HDL cholesterol (4–6), increased adiponectin (7), reduced plasma fibrinogen (8), viscosity (9), platelet activity (10, 11), C-reactive protein (8, 12), and improved insulin sensitivity (13). However, the protective effect of alcohol is not uniform across sex and populations or socioeconomic classes (14, 15), which raises doubts as to whether alcohol per se is truly protective or instead is a marker for another protective factor associated with alcohol consumption (4). Others have suggested that certain types of alcohol, eg, wine, may be more protective than others (16–18).

Growing evidence (2, 6, 14) suggests that the amount and pattern of intake, rather than the type of alcohol (19, 20), are more important in explaining the effects of alcohol in populations. Other studies suggest that sex (14) and genetic diversity of alcohol users (6, 21) may also play an important role in explaining the observed protection and differences across studies. For instance, in a recent prospective study, alcohol was inversely related to MI in white Americans but was hazardous for hypertension and MI in African Americans (14, 22). These disparities could be due to differences in alcohol intake patterns or the prevalence of functional genetic polymorphisms in genes encoding alcohol-metabolizing enzymes that have been reported across races (23–26). Polymorphisms in the alcohol dehydrogenase gene have been associated with changes in both HDL cholesterol and risk of MI in moderate drinkers (6). Apart from one multicountry study (3) in which consumption of alcohol was marginally associated with a reduced risk of MI, to date, no large case-control studies have investigated the association between alcohol intake, patterns, and risk of MI in developing countries where diet and lifestyles differ from those in Western cultures.

We conducted a large (n = 4548), matched, incident case-control study of residents of the Central Valley of Costa Rica, a country with low wine intake, to determine whether alcohol users, compared with self-reported lifelong abstainers, are less likely to have an MI. We also determined whether the pattern of alcohol drinking is associated with the risk of MI or intermediate phenotypes such as plasma lipid concentrations.


   SUBJECTS AND METHODS
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
RESULTS
 DISCUSSION
 REFERENCES
 
Study population
All subjects were Hispanic Americans who lived in the Central Valley of Costa Rica between 1994 and 2004. The details of the study design are published elsewhere (27–29). Briefly, eligible cases were men and women who were determined to be survivors of a first acute MI by 2 independent cardiologists at any of the 6 recruiting hospitals in the catchment area. To achieve 100% ascertainment, fieldworkers visited the 6 hospitals daily. All cases met the World Health Organization criteria for MI, which require typical symptoms plus either elevations in cardiac enzyme concentrations or diagnostic changes on an electrocardiogram (30). Cases were ineligible if they 1) died during hospitalization, 2) were 75 y or older on the day of their first MI, or 3) were physically or mentally unable to answer the questionnaire. Enrollment was carried out while the cases were in the hospital’s step-down unit. Cases were matched by age (±5 y), sex, and area of residence to population control subjects who were randomly identified with the aid of data from the National Census and Statistics Bureau of Costa Rica. Because of the comprehensive social services provided in Costa Rica, all persons living in the catchment area had access to medical care without regard to income. Therefore, the control subjects came from the source population that gave rise to the cases and were not likely to have had undiagnosed cardiovascular disease because of poor access to medical care. Control subjects were ineligible if they had ever had an MI or if they were physically or mentally unable to complete the questionnaires. After enrollment of cases at the hospital step-down unit, all cases and controls were visited at their homes for the collection of dietary and health information, anthropometric measurements, and biological specimens. Participation was 98% for cases and 88% for controls. All subjects gave informed consent on documents approved by the Human Subjects Committee of the Harvard School of Public Health and the University of Costa Rica. To avoid the potential for recall bias among the cases, data were collected as close to the diagnosis of MI as possible. Data collection was completed within 2 wk of discharge from the hospital for 73% of the cases.

Data collection
Sociodemographic characteristics, smoking status, socioeconomic status, physical activity, and medical history data were collected during the in-home interview. Each subject provided a fasting blood sample for assessment of plasma lipids (28, 29). Blood was collected from cases after the MI. We collected dietary data by using a semi-quantitative food-frequency questionnaire (FFQ) that was developed and validated specifically to assess nutrient intake in the Costa Rican population (28, 31). In addition to foods, the FFQ assessed the frequency of intake of the 5 commonly consumed alcoholic beverages: beer, rum, whiskey, vodka, and wine. We estimated the amount of alcohol consumed per day by multiplying the number of servings per day by the amount of alcohol per serving, which was 12.8 g for beer, 14 g for liquor, and 11 g for wine. We estimated the number of drinks per day by dividing the total amount of alcohol consumed per day by 14, the amount of absolute alcohol in a standard drink (32). In addition to the FFQ, alcohol intake and patterns were assessed with the use of another questionnaire that also assessed potential confounders.

Statistical analysis
SAS software version 8.00 (SAS Institute Inc, Cary, NC) was used for all statistical analyses, and all P values presented are two-tailed. Individuals who had missing values for major confounders (n = 308, or 6.8% of the total study population) and those whose alcohol intake on the FFQ was not consistent with alcohol intake status on the general questionnaire (n = 60, or 1.3%) were excluded. This left 2090 cases and 2090 matched controls for the final analysis of alcohol intake. Analyses on amount and type of alcohol consumed had a total of 4180 matched cases and controls, but because of missing data, analyses on patterns of alcohol intake had 3864 subjects and analyses that used the number of drinking days had 3298 subjects.

Individual nutrients were correlated with total energy intake and were thus adjusted for total energy from sources other than alcohol as described elsewhere (28, 33). We also estimated the amount of energy consumed as fat and expressed this as a percentage of daily energy intakes from sources other than alcohol. The distribution of potential confounders by case-control status and alcohol intake was assessed with the use of the paired t test, Wilcoxon’s signed-rank test, or analysis of variance for continuous variables or with the use of the chi-square test or Cochran-Armitage test for trend for categorical variables.

Lifelong abstainers were those subjects who reported zero alcohol consumption on the FFQ and no alcohol use in their lifetime on the general questionnaire. We assessed the possibility of an association between alcohol intake and MI by sequentially adding potential confounders to the model and then assessing their effect on point estimates and model fit. Because missing data on the pattern of alcohol intake caused case-control pairs to be broken, we used unconditional logistic regression that included matching variables and potential confounders in the models to investigate the association between patterns of alcohol intake and MI. In these analyses, we compared weekend drinkers (1–2 d/wk), daily drinkers, and those with no regular drinking pattern with lifelong abstainers. We also examined drinking patterns in terms of the number of drinking days per week by comparing past drinkers and current drinkers (drinking 1–2 d/wk, 3–5 d/wk, and 6–7 d/wk) with lifelong abstainers. We explored whether drinking patterns were independent of alcohol intake by further adjusting the odds ratios for alcohol patterns by the amount of alcohol consumed per day.

We performed subgroup analyses to explore further the effects of potential confounders such as smoking, sex, area of residence, and folate intake. Folate was included because it has a known biological interaction with alcohol intake and may protect against MI (34, 35). In these analyses, we used unconditional logistic regression with matching variables and potential confounders in the model. In all unconditional analyses, we computed the Hosmer-Lemeshow statistic to test for the goodness-of-fit of the models. We also investigated the relation between alcohol intake and MI after stratifying the drinkers into those drinking ≤3 or >3 d/wk or those drinking on weekends only versus daily drinkers.

To test whether the observed effects of alcohol were mediated by changes in plasma lipids, we performed multivariate linear regression analyses with lipids as outcomes and categories of alcohol intake or pattern as the independent variable. These analyses were restricted to the controls because blood from cases was obtained after the MI. The lipids assessed were triacylglycerol, LDL cholesterol, HDL cholesterol, and total cholesterol. Because of their potential effects on plasma lipids, we adjusted the lipid means for the following covariates: smoking, physical activity, abdominal obesity, sex, age, income, history of diabetes, history of hypertension, and intakes of saturated fat, polyunsaturated fats, trans fat, and dietary cholesterol.


   RESULTS
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
DISCUSSION
 REFERENCES
 
Characteristics of the study population
The characteristics of the cases and controls are shown in Table 1Go. The proportion of current drinkers was significantly higher (P = 0.01) for the controls (53%) than the cases (49%). Cases were more likely to smoke, to have abdominal obesity, to have a history of diabetes or hypertension, and to consume a diet high in total energy and animal fat but low in dietary fiber. The body mass index of the cases was lower than that of the controls, possibly because the cases lost weight after their MI. However, body mass index in older populations is difficult to interpret because the conversion of muscle mass to fat mass can lead to an apparent loss in body weight but a gain in fat mass or central adiposity (36). Abdominal obesity was higher in the cases. The general characteristics of the control and MI case populations by alcohol intake status are shown in Table 2Go. Persons in the higher categories of alcohol intake were younger, were mainly male, lived in urban areas, were more likely to smoke, were more educated and physically active, and were less likely to have a history of diabetes or hypertension.


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  		TABLE 1. Characteristics of myocardial infarction cases and population-based controls in Costa Rica1

 

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  		TABLE 2. Characteristics of population-based controls (n = 2090) and myocardial infarction cases (n = 2090) by categories of alcohol intake in Costa Rica1

 
Beer was the most preferred beverage (data not shown). In cases and controls, respectively, 26% and 30% consumed beer, whereas 5.1% and 7.5% consumed wine. The proportion consuming liquor was similar for the cases (13%) and controls (13%). The median (minimum–maximum) alcohol intake in current drinkers was 6.0 (0–246) g/d for cases and 5.5 (0–174) g/d for controls. Most current drinkers consumed <14 g/d (71% of cases and 76% of controls). The proportion of current drinkers consuming up to 28 g/d was 85% in cases and 89% in controls, and 91% and 94%, respectively, for those consuming up to 42 g/d.

The distribution of potential dietary confounders by category of alcohol use is shown in Table 3Go. Except for total energy intake, which increased with increased alcohol intake, no distinct confounding patterns were detected.


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  		TABLE 3. Potential dietary confounders in population-based controls (n = 2090) and myocardial infarction cases (n = 2090) by categories of alcohol intake in Costa Rica1

 
Alcohol intake from various beverages according to drinking pattern is shown in Table 4Go. Except for individuals consuming ≥15 g alcohol/d, where most alcohol was consumed as liquor, the mean amount of alcohol from beer was similar to that from liquor. In controls who were current drinkers, 25% reported binge drinking (>5 drinks on a typical drinking day) and 12% drank >10 drinks on a typical drinking day in the previous year (data not shown). Most controls who were alcohol users reported no significant changes in their alcohol intake in the past 10 y. Except for heavy drinkers (≥30 g/d), most people reported drinking on 1–2 d/wk and these days were mainly on weekends.


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  		TABLE 4. Alcohol intake patterns among population-based controls and myocardial infarction cases who are current drinkers in Costa Rica1

 
Alcohol intake and myocardial infarction
Although the overall chi-square test for association was significant for all models, the P for trend was not significant for multivariate models 1 and 2 (Table 5Go). After adjustment for dietary and nondietary confounders, a significant trend in odds ratios was detected (P for linear trend = 0.02). In the analyses adjusted for smoking (Table 5Go), consumption of ≤14.9 g alcohol/d was significantly (P < 0.05) inversely associated with the risk of MI. A nonsignificant (P > 0.05) inverse association with MI was still evident at higher levels of consumption. In multivariate-adjusted analyses, individuals who consumed as little as one half a drink per week were less likely to have an MI than were lifelong abstainers. However, the strongest inverse association was observed in those who consumed 3 drinks weekly. For instance, in a multiple comparison of odds ratios (multivariate model 4) with the Bonferroni correction, the risk of MI in those who consumed 3 drinks/wk was significantly (P < 0.0001) less than that of those who consumed 0.5 drinks/wk. Although an inverse association was still evident for individuals in the categories above 10 g/d, the magnitude of the association was not as strong as that observed for those consuming 5.0–9.9 g/d.


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  		TABLE 5. Alcohol intake and risk of nonfatal acute myocardial infarction in Costa Rica1

 
The association between alcohol drinking patterns and the risk of MI in analyses adjusted for cardiovascular disease risk factors and alcohol intake is shown in Table 6Go. The risk of MI in daily drinkers was 0.64 (95% CI: 0.41, 1.01), whereas it was 0.76 (95% CI: 0.59, 0.98) for weekend drinkers. In a direct comparison with weekend drinkers as the reference group, the risk of MI in daily drinkers was 0.84 (95% CI: 0.56, 1.26; P = 0.23), which suggests that the 2 groups did not differ significantly with regard to their risk of MI.


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  		TABLE 6. Alcohol intake patterns (weekend compared with daily drinkers) and risk of nonfatal acute myocardial infarction in Costa Rica1

 
We performed stratified analyses to determine whether the association between alcohol and MI was independent of selected confounders such as smoking and intake of folate. The results of these analyses were similar to those of the conditional analyses in Table 5Go (data not shown).

We explored whether the observed inverse association of alcohol was through its effect on plasma lipids as suggested by others (5, 6). Mean HDL-cholesterol concentrations in controls across alcohol intake amounts and patterns are shown Figure 1Go and Figure 2Go, respectively. Plasma HDL-cholesterol concentrations increased significantly (P = 0.01) with increasing alcohol intake. Triacylglycerol also increased with an increase in alcohol intake and pattern but the differences were not as remarkable as for HDL cholesterol (data not shown). We did not detect significant differences in total or LDL-cholesterol concentrations across categories of alcohol intake or patterns, even after we adjusted the analysis for variables that could influence plasma lipids (data not shown).



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  		FIGURE 1.. Mean (±SEM) plasma HDL-cholesterol concentration in controls by alcohol intake (n = 2090). Means are adjusted for smoking status, physical activity, abdominal obesity, sex, age, income, history of diabetes, history of hypertension, and intakes of saturated fat, polyunsaturated fat, trans fat, and dietary cholesterol. There was a significant main effect for alcohol intake, P = 0.01 (ANOVA).

 


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  		FIGURE 2.. Mean (±SEM) plasma HDL-cholesterol concentration in controls by alcohol intake pattern (n = 2090). Means are adjusted for smoking status, physical activity, abdominal obesity, sex, age, income, history of diabetes, history of hypertension, and intakes of saturated fat, polyunsaturated fats, trans fat, dietary cholesterol, and alcohol. There was a significant main effect for alcohol pattern, P < 0.0001 (ANOVA).

 

   DISCUSSION
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
REFERENCES
 
We have shown that moderate consumption of alcohol is independently associated with a reduced risk of MI and that low to moderate daily drinking is comparable with drinking on only 1–2 d/wk, as in the context of non-Western lifestyles. Beer was the most preferred beverage (30% of the population), followed by liquor (13%) and wine (7.5%). Alcohol intake was also significantly associated with HDL-cholesterol concentrations, which indicates that HDL cholesterol, a lipoprotein with well-known protection against MI, may mediate the observed protection.

The observed associations are not likely to have been confounded by age, sex, area of residence, income, dietary intake, or the presence of "sick-quitters" in the reference group because of the study’s matched design, the restriction of recruitment to survivors of a first nonfatal acute MI, the use of randomly selected population controls, the use of lifelong alcohol abstainers as the reference group, and the various statistical adjustments made for both lifestyle and dietary variables. The inverse associations observed in the main analyses persisted even in analyses stratified by smoking status or other potential confounders, which further suggests that the observed association between alcohol consumption and MI is not spurious.

The proportion of alcohol users (43% of men and 16% of women) in our study is lower than that in the Atherosclerosis Risk in Communities Study (55% of men and 34% of women) (14) and the Health Professionals Follow-up Study (88%) (2) but is higher than that in the INTERHEART study (25%) (3). The median intake of alcohol by current alcohol users in Costa Rica (5.5 g/d) was lower than that in the Health Professionals Follow-up Study (6 g/d) (37), and the range of alcohol intake in the United States may be wider than that in Costa Rica (2, 14). The absence of a wide range of intake, together with a low number of daily drinkers in our study population, precluded analyses that would further investigate the risk of MI at higher intakes or an interaction with frequency of alcohol consumption.

Our data support results from earlier prospective (1, 6, 14, 21, 38–41) and case-control (3, 42) studies which suggest that moderate alcohol intake protects against MI and that it may do so by raising HDL cholesterol (5, 6). Our data show that drinking as little as one-half a drink per week (or <4.9 g/d) is inversely associated with nonfatal MI. This observation is consistent with previous studies showing an inverse association between very low alcohol intake and cardiovascular disease mortality (43, 44). The reasons for the apparent protection in light drinkers are not clear. HDL-cholesterol concentrations in the light drinkers were not significantly different from those of the lifelong abstainers. One possible explanation could be that light drinkers have a healthier lifestyle than do abstainers. It is therefore possible that the observed protection in this group may be partly attributed to residual confounding, underreporting of alcohol intake, or healthy lifestyle as reported in the study by Gronbaek et al (44). The other potential explanation is the benefit of light drinking on hemostasis. Alcohol, in vitro or even when consumed in modest amounts, has been shown to have an immediate and sustainable effect on clotting mechanisms within a few hours of consumption (45–48). Thus, the potential protection of alcohol in very light drinkers could occur via the coagulation pathway. Unfortunately, we do not have data in the present study on markers of hemostasis to test this potential association. Another potential reason for benefit at modest levels may be the higher prevalence of the polymorphism in alcohol dehydrogenase that is associated with slower alcohol oxidation (25). If the alcohol dehydrogenase ADH1C*2 allele is prevalent among Costa Ricans, then alcohol, even in minimal amounts, would be expected to remain unoxidized longer and confer a protective effect on MI through various mechanisms (6, 8, 9, 12, 13, 21). Future studies in this population that will investigate the potential interaction between alcohol intake and variation in genes for alcohol-metabolizing enzymes are warranted.

Our data agree with those of others (2) in that the amount and pattern of alcohol intake are associated with a reduced risk of MI. In this study, we found that the risk of MI in daily drinkers was comparable with that in weekend drinkers. Unlike in countries with high wine intakes, as reviewed elsewhere (10, 49), wine intake is very low in Costa Rica. Thus, our results suggest that the observed inverse association between alcohol and MI is not due to components of wine (20, 50) but to alcohol per se as shown in some studies of beer drinkers (41).

In summary, these data show that low to moderate consumption of alcohol on 1–2 d/wk is independently associated with a reduced risk of MI. Furthermore, these data support earlier studies suggesting that the apparent protective effect of alcohol is partly mediated through increases in plasma HDL cholesterol, especially at higher intakes. The finding of an inverse association at minimal levels of alcohol intake may indicate residual confounding or the presence of other protective mechanisms such as anticoagulation and warrants further investigation that should probably involve exploration of an interaction with genetic effects.


   ACKNOWLEDGMENTS
 
We are grateful to the staff of Proyecto Salud Coronaria, San José, Costa Rica; the staff at the Centro National de Estadística y Censos de Costa Rica and the staff at the 6 main hospitals in San Jose, Heredia, Alajuela, and Cartago for their help in recruiting the case and control subjects; and the staff at Harvard School of Public Health for their help with laboratory analyses.

EKK performed the analyses and wrote the manuscript, AB prepared the food-frequency questionnaire data, ER-N contributed to data preparation, EBR contributed to the analysis of the data, and HC designed and supervised the execution of the study. All authors participated in the interpretation of the results and the editing of the manuscript. None of the authors had a conflict of interest.


   REFERENCES
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Rimm EB, Klatsky A, Grobbee D, Stampfer MJ. Review of moderate alcohol consumption and reduced risk of coronary heart disease: is the effect due to beer, wine, or spirits. BMJ 1996;312:731–6.[Abstract/Free Full Text]
  2. Mukamal KJ, Conigrave KM, Mittleman MA, et al. Roles of drinking pattern and type of alcohol consumed in coronary heart disease in men. N Engl J Med 2003;348:109–18.[Abstract/Free Full Text]
  3. Yusuf S, Hawken S, Ounpuu S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004;364:937–52.[Medline]
  4. Rimm EB, Katan MB, Ascherio A, Stampfer MJ, Willett WC. Relation between intake of flavonoids and risk for coronary heart disease in male health professionals. Ann Intern Med 1996;125:384–9.[Abstract/Free Full Text]
  5. Mukamal KJ, Rimm EB. Alcohol’s effects on the risk for coronary heart disease. Alcohol Res Health 2001;25:255–61.[Medline]
  6. Hines LM, Stampfer MJ, Ma J, et al. Genetic variation in alcohol dehydrogenase and the beneficial effect of moderate alcohol consumption on myocardial infarction. N Engl J Med 2001;344:549–55.[Abstract/Free Full Text]
  7. Pischon T, Girman CJ, Rifai N, Hotamisligil GS, Rimm EB. Association between dietary factors and plasma adiponectin concentrations in men. Am J Clin Nutr 2005;81:780–6.[Abstract/Free Full Text]
  8. Mukamal KJ, Cushman M, Mittleman MA, Tracy RP, Siscovick DS. Alcohol consumption and inflammatory markers in older adults: the Cardiovascular Health Study. Atherosclerosis 2004;173:79–87.[Medline]
  9. Mukamal KJ, Jadhav PP, D’Agostino RB, et al. Alcohol consumption and hemostatic factors: analysis of the Framingham Offspring cohort. Circulation 2001;104:1367–73.[Abstract/Free Full Text]
  10. Renaud SC, Ruf JC. Effects of alcohol on platelet functions. Clin Chim Acta 1996;246:77–89.[Medline]
  11. Ruf JC. Alcohol, wine and platelet function. Biol Res 2004;37:209–15.[Medline]
  12. Albert MA, Glynn RJ, Ridker PM. Alcohol consumption and plasma concentration of C-reactive protein. Circulation 2003;107:443–7.[Abstract/Free Full Text]
  13. Davies MJ, Baer DJ, Judd JT, Brown ED, Campbell WS, Taylor PR. Effects of moderate alcohol intake on fasting insulin and glucose concentrations and insulin sensitivity in postmenopausal women: a randomized controlled trial. JAMA 2002;287:2559–62.[Abstract/Free Full Text]
  14. Fuchs FD, Chambless LE, Folsom AR, et al. Association between alcoholic beverage consumption and incidence of coronary heart disease in whites and blacks: the Atherosclerosis Risk in Communities Study. Am J Epidemiol 2004;160:466–74.[Abstract/Free Full Text]
  15. Marques-Vidal P, Montaye M, Arveiler D, et al. Alcohol consumption and cardiovascular disease: differential effects in France and Northern Ireland. The PRIME study. Eur J Cardiovasc Prev Rehabil 2004;11:336–43.[Medline]
  16. Goldberg IJ. To drink or not to drink? N Engl J Med 2003;348:163–4.[Free Full Text]
  17. Goldberg IJ, Mosca L, Piano MR, Fisher EA. AHA Science Advisory. Wine and your heart: a science advisory for healthcare professionals from the Nutrition Committee, Council on Epidemiology and Prevention, and Council on Cardiovascular Nursing of the American Heart Association. Stroke 2001;32:591–4.[Free Full Text]
  18. Ruf JC. Wine and polyphenols related to platelet aggregation and atherothrombosis. Drugs Exp Clin Res 1999;25:125–31.[Medline]
  19. Klatsky AL, Friedman GD, Armstrong MA, Kipp H. Wine, liquor, beer, and mortality. Am J Epidemiol 2003;158:585–95.[Abstract/Free Full Text]
  20. Burns J, Crozier A, Lean ME. Alcohol consumption and mortality: is wine different from other alcoholic beverages? Nutr Metab Cardiovasc Dis 2001;11:249–58.[Medline]
  21. Younis J, Cooper JA, Miller GJ, Humphries SE, Talmud PJ. Genetic variation in alcohol dehydrogenase 1C and the beneficial effect of alcohol intake on coronary heart disease risk in the Second Northwick Park Heart Study. Atherosclerosis 2005;180:225–32.[Medline]
  22. Fuchs FD, Chambless LE, Whelton PK, Nieto FJ, Heiss G. Alcohol consumption and the incidence of hypertension: The Atherosclerosis Risk in Communities Study. Hypertension 2001;37:1242–50.[Abstract/Free Full Text]
  23. Xu YL, Carr LG, Bosron WF, Li TK, Edenberg HJ. Genotyping of human alcohol dehydrogenases at the ADH2 and ADH3 loci following DNA sequence amplification. Genomics 1988;2:209–14.[Medline]
  24. Bosron WF, Lumeng L, Li TK. Genetic polymorphism of enzymes of alcohol metabolism and susceptibility to alcoholic liver disease. Mol Aspects Med 1988;10:147–58.[Medline]
  25. Konishi T, Smith JL, Lin KM, Wan YJ. Influence of genetic admixture on polymorphisms of alcohol-metabolizing enzymes: analyses of mutations on the CYP2E1, ADH2, ADH3 and ALDH2 genes in a Mexican-American population living in the Los Angeles area. Alcohol Alcohol 2003;38:93–4.[Free Full Text]
  26. Wan YJ, Poland RE, Lin KM. Genetic polymorphism of CYP2E1, ADH2, and ALDH2 in Mexican-Americans. Genet Test 1998;2:79–83.[Medline]
  27. Campos H, Siles X. Siesta and the risk of coronary heart disease: results from a population-based, case-control study in Costa Rica. Int J Epidemiol 2000;29:429–37.[Abstract/Free Full Text]
  28. Kabagambe EK, Baylin A, Allan DA, Siles X, Spiegelman D, Campos H. Application of the method of triads to evaluate the performance of food frequency questionnaires and biomarkers as indicators of long-term dietary intake. Am J Epidemiol 2001;154:1126–35.[Abstract/Free Full Text]
  29. Kabagambe EK, Baylin A, Siles X, Campos H. Individual saturated fatty acids and nonfatal acute myocardial infarction in Costa Rica. Eur J Clin Nutr 2003;57:1447–57.[Medline]
  30. Tunstall-Pedoe H, Kuulasmaa K, Amouyel P, Arveiler D, Rajakangas AM, Pajak A. Myocardial infarction and coronary deaths in the World Health Organization MONICA Project. Registration procedures, event rates, and case-fatality rates in 38 populations from 21 countries in four continents. Circulation 1994;90:583–612.[Abstract/Free Full Text]
  31. Baylin A, Kabagambe EK, Siles X, Campos H. Adipose tissue biomarkers of fatty acid intake. Am J Clin Nutr 2002;76:750–7.[Abstract/Free Full Text]
  32. National Council on Alcoholism and Drug Abuse. Standard drink conversion. Version current January 2003. Internet: http://www.ncada-stl.org/radar_library/Standard_Drink_Conversion.pdf (accessed 19 November 2004).
  33. Willett WC. Nutritional epidemiology. 2nd ed. New York, NY: Oxford University Press, 1998.
  34. Tavani A, Pelucchi C, Parpinel M, Negri E, La Vecchia C. Folate and vitamin B(6) intake and risk of acute myocardial infarction in Italy. Eur J Clin Nutr 2004;58:1266–72.[Medline]
  35. Chiuve SE, Giovannucci EL, Hankinson SE, et al. Alcohol intake and methylenetetrahydrofolate reductase polymorphism modify the relation of folate intake to plasma homocysteine. Am J Clin Nutr 2005;82:155–62.[Abstract/Free Full Text]
  36. Rimm E, Stampfer M, Giovannucci E, et al. Body size and fat distribution as predictors of coronary heart disease among middle-aged and older US men. Am J Epidemiol 1995;141:1117–27.[Abstract/Free Full Text]
  37. Conigrave KM, Hu BF, Camargo CA Jr, Stampfer MJ, Willett WC, Rimm EB. A prospective study of drinking patterns in relation to risk of type 2 diabetes among men. Diabetes 2001;50:2390–5.[Abstract/Free Full Text]
  38. Rimm EB, Giovannucci EL, Willett WC, et al. Prospective study of alcohol consumption and risk of coronary disease in men. Lancet 1991;338:464–8.[Medline]
  39. Rosolova H, Simon J, Sefrna F. Impact of cardiovascular risk factors on morbidity and mortality in Czech middle-aged men: Pilsen Longitudinal Study. Cardiology 1994;85:61–8.[Medline]
  40. Langer RD, Criqui MH, Reed DM. Lipoproteins and blood pressure as biological pathways for effect of moderate alcohol consumption on coronary heart disease. Circulation 1992;85:910–5.[Abstract/Free Full Text]
  41. Keil U, Chambless LE, Doring A, Filipiak B, Stieber J. The relation of alcohol intake to coronary heart disease and all-cause mortality in a beer-drinking population. Epidemiology 1997;8:150–6.[Medline]
  42. McElduff P, Dobson AJ. How much alcohol and how often? Population based case-control study of alcohol consumption and risk of a major coronary event. BMJ 1997;314:1159–64.[Abstract/Free Full Text]
  43. Hennekens CH, Willett W, Rosner B, Cole DS, Mayrent SL. Effects of beer, wine, and liquor in coronary deaths. JAMA 1979;242:1973–4.[Abstract]
  44. Gronbaek M, Deis A, Sorensen TI, Becker U, Schnohr P, Jensen G. Mortality associated with moderate intakes of wine, beer, or spirits. BMJ 1995;310:1165–9.[Abstract/Free Full Text]
  45. Tabengwa EM, Wheeler CG, Yancey DA, Grenett HE, Booyse FM. Alcohol-induced up-regulation of fibrinolytic activity and plasminogen activators in human monocytes. Alcohol Clin Exp Res 2002;26:1121–7.[Medline]
  46. Djousse L, Pankow JS, Arnett DK, et al. Alcohol consumption and plasminogen activator inhibitor type 1: the National Heart, Lung, and Blood Institute Family Heart Study. Am Heart J 2000;139:704–9.[Medline]
  47. Booyse FM, Aikens ML, Grenett HE. Endothelial cell fibrinolysis: transcriptional regulation of fibrinolytic protein gene expression (t-PA, u-PA, and PAI-1) by low alcohol. Alcohol Clin Exp Res 1999;23:1119–24.[Medline]
  48. Aikens ML, Grenett HE, Benza RL, Tabengwa EM, Davis GC, Booyse FM. Alcohol-induced upregulation of plasminogen activators and fibrinolytic activity in cultured human endothelial cells. Alcohol Clin Exp Res 1998;22:375–81.[Medline]
  49. Renaud S, de Lorgeril M. Wine, alcohol, platelets, and the French paradox for coronary heart disease. Lancet 1992;339:1523–6.[Medline]
  50. Vogel RA. Alcohol, heart disease, and mortality: a review. Rev Cardiovasc Med 2002;3:7–13.[Medline]
Received for publication May 24, 2005. Accepted for publication August 25, 2005.




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