Public Health Nutrition

Intake of specific flavonoids and risk of acute myocardial infarction in Italy

Intake of specific flavonoids and risk of acute myocardial infarction in Italy

Alessandra Tavani1, CA1, Luana Spertini1, Cristina Bosetti1, Maria Parpinel2, Patrizia Gnagnarella3, Francesca Bravi1, Julie Peterson4, Johanna Dwyer5, Pagona Lagiou6, Eva Negri1, Carlo La Vecchia1,7
1Istituto di Ricerche Farmacologiche ‘Mario Negri’, Via Eritrea 62, I-20157 , Milan, Italy
2Istituto di Igiene, Università di Udine, Udine, Italy
3Divisione di Epidemiologia e Biostatistica, Istituto Europeo di Oncologia, Milan, Italy
4Frances Stern Nutrition Center, Tufts–New England Medical Center, Boston, MA, USA
5Schools of Medicine, Nutrition and the Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
6Department of Hygiene and Epidemiology, University of Athens Medical School, Athens, Greece
7Istituto di Statistica Medica e Biometria, Università degli Studi di Milano, Milan, Italy

10 May 2005 - 10 August 2005 - Submitted 10 May 2005:

Abstract

Objective: As intake of flavonoids has been associated with reduced risk of coronary heart disease but data on the relation with specific classes of flavonoids are scarce, we assessed the relation between dietary intake of specific classes of flavonoids and the risk of acute myocardial infarction (AMI) in an Italian population.

Design: Case–control study. Dietary information was collected by interviewers on a questionnaire tested for validity and reproducibility. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were obtained by multiple logistic regression models including terms for energy and alcohol intake, as well as sociodemographic factors, tobacco and other major recognised risk factors for AMI.

Setting: Milan, Italy, between 1995 and 2003.

Subjects: Cases were 760 patients, below age 79 years, with a first episode of non-fatal AMI, and controls were 682 patients admitted to hospital for acute conditions unrelated to diet.

Results: A reduced risk of AMI was found for increasing intake of anthocyanidins (OR=0.45, 95% CI 0.26–0.78 for the highest vs. the lowest quintile, Ptrend=0.003) and flavonols (OR=0.65, 95% CI 0.41–1.02, Ptrend=0.02). A tendency towards reduced risks, although not significant, was observed for flavan-3-ols (OR=0.73, 95% CI 0.48–1.10) and total flavonoids (OR=0.74, 95% CI 0.49–1.14). No meaningful heterogeneity was found between the sexes. No association emerged for other flavonoids, including isoflavones, flavanones and flavones.

Conclusions: High intake of anthocyanidins reduced the risk of AMI even after allowance for alcohol, fruit and vegetables, supporting a real inverse association between this class of flavonoids and AMI risk.

Keywords:

Diet, Flavonoids, Myocardial infarction, Case–control studies, Risk factors


Flavonoids consist of over 4000 compounds present in food and beverages of plant origin, with antioxidant, anti-inflammatory, antithrombotic and endothelial protection activity1,2. These properties have led to the hypothesis that they are protective against cardiovascular disease2,3.

Several epidemiological studies have considered the relation of total flavonoids or specific flavonoids with ischaemic heart diseases, but the results are not clear4–14. Data on specific classes of flavonoids using comprehensive databases and their effects on cardiovascular disease risk are few15. This is partly due to the lack, until recently, of a clear and complete classification and a reliable database on the flavonoid content of foods and beverages. A Greek case–control study carried out a systematic analysis of the effects of the six specific classes of flavonoids, and found an inverse association of flavan-3-ols with risk of coronary heart disease (CHD)16.

To further assess the relation of flavonoid classes with acute myocardial infarction (AMI) risk, we computed the dietary intake of the six principal classes of flavonoids (i.e. isoflavones, anthocyanidins, flavan-3-ols, flavanones, flavones and flavonols)17,18 from dietary information collected in a case–control study of non-fatal AMI conducted in Italy.

Subjects and methods

Data derive from a case–control study of non-fatal AMI conducted in the greater Milan area, Italy, between 1995 and 200319. Cases were 760 patients (580 men, 180 women; median age 61 years, range 19–79 years) with a first episode of non-fatal AMI, defined according to the World Health Organization criteria20, admitted to a network of teaching and general hospitals in the area. Controls were 682 patients (439 men, 243 women; median age 59 years, range 16–79 years) from the same geographical area, admitted to the same hospitals for a wide spectrum of acute conditions not likely related to known AMI risk factors and diet. We excluded subjects with previous AMI or other major cardiovascular events. Among controls, 30% had traumas, 25% non-traumatic orthopaedic disorders, 18% acute surgical conditions, 18% eye, nose, throat or teeth disorders, and 9% miscellaneous other illnesses unrelated to diet. Less than 5% of the cases and controls approached refused to participate.

Interviews were conducted in hospital using a structured questionnaire, including information on sociodemographic factors, anthropometric variables, smoking, alcohol and coffee consumption, other lifestyle habits, physical activity, a problem-oriented medical history, and history of AMI in first-degree relatives. Cholesterol levels were obtained from clinical records.

Information on diet was based on a food-frequency questionnaire tested for reproducibility21 and validity22, which included questions on 78 foods or food groups and 15 questions aimed at assessing patterns of lipid intake and meal frequency. Energy and nutrient intakes were computed using an Italian food composition database23. Food and beverage content of total and six classes of flavonoids (isoflavones, anthocyanidins, flavan-3-ols, flavanones, flavones and flavonols) was computed using data from the US Department of Agriculture's provisional flavonoid food composition database17,18, further integrated with other sources24–26. Major flavonoids included in these classes were: hesperidin and naringin for flavanones; epicatechin and catechin for flavan-3-ols; quercetin, myricetin and kaempferol for flavonols; apigenin and luteolin for flavones; cyanidin and malvidin for anthocyanidins; genistein and daidzein for isoflavones. In our population, oranges and other citrus fruits were the major sources of flavanones; tea, red wine, grapes and other fruits those of flavan-3-ols; various common vegetables and fruits were major sources of flavonols; vegetables, bean soups and tea those of flavones; red wine, red fruits onion and garlic were major sources of anthocyanidins; pulses those of isoflavones.

Data analysis

Odds ratios (OR) of AMI, and the corresponding 95% confidence intervals (CI), for subsequent quintiles of intake of various flavonoid classes were derived using unconditional multiple logistic regression models27, including terms for sex, age, education, tobacco smoking, coffee, alcohol drinking, total energy intake, body mass index, physical activity, cholesterol levels, diabetes, history of hypertension and history of AMI in first-degree relatives. Flavonoids were also included in the models as continuous variables, with a measurement unit equal to one standard deviation of the distribution of all subjects.

Results

The distribution of cases of AMI and controls according to age, sex and other major covariates is shown in Table 1. Compared with controls, cases were more often smokers (OR=2.25 for current smokers of 15 or more cigarettes per day, P<0.0001) and heavy coffee drinkers (OR=1.42), consumed less alcohol (OR=0.72 for 2 or more drinks per day, P<0.01), more often had a history of hypertension (OR=1.58), diabetes (OR=2.92), and AMI in first-degree relatives (OR=2.17).

TBR1


Distribution of 760 cases of acute myocardial infarction (AMI) and 682 controls, and corresponding odds ratios (OR) with 95% confidence intervals (CI), according to age and other selected variables, Milan, Italy, 1995–2003
  AMI  Controls   
  n  n  OR (95% CI)*/ χ2 trend (P
Age (years) 
<50  140  10.4  168  24.6   
 50–59  198  26.1  187  27.4   
 60–69  293  38.6  224  32.8   
≥70  129  17.0  103  15.1   
Sex 
 Men  580  76.3  439  64.4   
 Women  180  23.7  243  35.6   
Education (years)† 
<7  321  42.9  308  45.8  1.00‡ 
 7–11  239  31.9  222  33.0  1.01 (0.79–1.29) 
≥12  189  25.2  142  21.2  1.20 (0.91–1.59) 
 χ2 trend (P         1.38 (0.24) 
Smoking habit 
 Non smokers  425  55.9  476  69.8  1.00‡ 
 Current smokers  335  44.1  206  30.2  1.82 (1.45–2.29) 
  <15 (cigarettes/day)  77  10.1  76  11.1  1.17 (0.83–1.65) 
  ≥15 (cigarettes/day)  258  34.0  130  19.1  2.25 (1.73–2.93) 
 χ2 trend (P         34.94 (<0.0001) 
Coffee consumption (cups/day)† 
 <3  402  53.0  422  61.9  1.00‡ 
 ≥3  357  47.0  260  38.1  1.42 (1.14–1.76) 
Alcohol consumption (drinks/day)† 
 <1  305  40.2  268  39.3  1.00‡ 
 1–2  113  14.9  106  15.5  0.83 (0.60–1.14) 
 >2  341  44.9  308  45.2  0.72 (0.56–0.92) 
 χ2 trend (P         6.66 (<0.01) 
Body mass index (kg m−2)† 
 <24.2  217  28.6  215  31.8  1.00‡ 
 24.2–27.3  270  35.6  232  34.3  1.06 (0.81–1.38) 
 >27.3  271  35.8  229  33.9  1.11 (0.85–1.44) 
 χ2 trend (P         0.59 (0.44) 
History of hypertension 
 No  519  68.3  513  75.2  1.00‡ 
 Yes  241  31.7  169  24.8  1.58 (1.24–2.01) 
History of diabetes 
 No  650  85.5  644  94.4  1.00‡ 
 Yes  110  14.5  38  5.6  2.92 (1.98–4.32) 
Family history of AMI 
 No  513  67.5  557  81.7  1.00‡ 
 Yes  247  32.5  125  18.3  2.17 (1.69–2.79) 
*Estimated by multiple logistic regression models including terms for age and sex. 
The sum does not add up to the total because of missing values. 
Reference category. 

Table 2 gives the distribution of cases and controls and the corresponding OR of AMI according to dietary intake of total flavonoids and of the six major classes of flavonoids. The mean daily intake in controls was 134.0 mg for total flavonoids, 25.5 μg for isoflavones, 19.2 mg for anthocyanidins, 55.6 mg for flavan-3-ols, 38.2 mg for flavanones, 0.44 mg for flavones and 20.6 mg for flavonols. After allowance for major confounding factors, including energy and alcohol intake, we found a reduced risk of AMI for increasing intake of anthocyanidins (OR=0.45 for the highest vs. the lowest quintile, Ptrend=0.003) and possibly flavonols (OR=0.65, Ptrend=0.02). A tendency toward reduced risks, although not significant, was observed for flavan-3-ols (OR=0.73) and total flavonoids (OR=0.74). Other flavonoids, including isoflavones, flavanones and flavones, were not associated with AMI risk. After further adjustment for intake of vegetables and fruit, the OR for the highest quintile of intake compared with the lowest one was 0.89 (95% CI 0.56–1.40) for total flavonoids, 1.23 (95% CI 0.82–1.85) for isoflavones, 0.55 (95% CI 0.33–0.91) for anthocyanidins, 0.84 (95% CI 0.57–1.25) for flavan-3-ols, 1.26 (95% CI 0.70–2.29) for flavanones, 1.42 (95% CI 0.95–2.11) for flavones and 0.90 (95% CI 0.57–1.41) for flavonols. The OR for a continuous term computed for an increment of intake corresponding to one standard deviation was 0.97 for total flavonoids, 0.82 for anthocyanidins and 0.87 for flavonols among all subjects. The corresponding OR were 1.02, 0.81 and 0.86 in men and 0.85, 0.72 and 0.86 in women; the estimates were not heterogeneous between the two sexes.

TBR2


Distribution of 760 cases of acute myocardial infarction (AMI) and 682 controls, and corresponding odds ratios (OR) with 95% confidence intervals (CI)*, according to quintile of intake of the major classes of flavonoids, Milan, Italy, 1995–2003
  Quintile 
  1 (low)  5 (high)  χ2 trend (P Continuous† 
Total flavonoids 
 Cases  209  143  143  132  133     
 Controls  137  135  138  135  137     
 Upper cut-point (mg)  72.17  106.02  140.15  189.28  –     
 OR  1.00‡  0.73  0.80  0.74  0.74  1.43 (0.23)  0.97 
 95% CI    0.49–1.07  0.53–1.20  0.49–1.12  0.49–1.14    0.85–1.11 
Isoflavones 
 Cases  164  177  108  159  152     
 Controls  137  136  136  136  137     
 Upper cut-point (μg)  14.59  19.78  24.42  32.91  –     
 OR  1.00‡  1.19  0.73  0.91  0.90  1.04 (0.31)  0.96 
 95% CI    0.80–1.76  0.48–1.11  0.60–1.37  0.59–1.38    0.84–1.10 
Anthocyanidins 
 Cases  218  141  129  138  134     
 Controls  136  136  137  137  136     
 Upper cut-point (mg)  5.55  11.02  17.95  29.05  –     
 OR  1.00‡  0.68  0.56  0.52  0.45  8.63 (0.003)  0.82 
 95% CI    0.46–1.02  0.35–0.87  0.32–0.84  0.26–0.78    0.68–0.98 
Flavan-3-ols 
 Cases  208  151  128  120  153     
 Controls  136  137  136  136  137     
 Upper cut-point (mg)  20.60  32.54  49.53  90.43  –     
 OR  1.00‡  0.71  0.53  0.53  0.73  2.38 (0.12)  1.02 
 95% CI    0.48–1.06  0.35–0.82  0.34–0.84  0.48–1.10    0.90–1.16 
Flavanones 
 Cases  201  171  133  113  142     
 Controls  136  129  145  135  137     
 Upper cut-point (mg)  14.17  33.52  35.54  64.76  –     
 OR  1.00‡  1.01  0.67  0.65  0.87  2.33 (0.13)  1.01 
 95% CI    0.69–1.47  0.45–0.99  0.44–0.97  0.58–1.29    0.89–1.16 
Flavones 
 Cases  174  136  165  123  162     
 Controls  137  135  138  135  137     
 Upper cut-point (mg)  0.27  0.35  0.46  0.59  –     
 OR  1.00‡  0.91  1.05  0.85  1.17  0.33 (0.56)  1.07 
 95% CI    0.61–1.36  0.71–1.55  0.57–1.28  0.78–1.74    0.94–1.23 
Flavonols 
 Cases  173  163  176  125  123     
 Controls  136  137  137  135  137     
 Upper cut-point (mg)  12.14  15.57  19.44  25.00  –     
 OR  1.00‡  0.98  1.02  0.66  0.65  5.60 (0.02)  0.87 
 95% CI    0.65–1.47  0.67–1.55  0.42–1.05  0.41–1.02    0.76–1.00 
*Estimated by multiple logistic regression models including terms for sex, age, education, smoking, coffee, alcohol, total energy, body mass index, physical activity, cholesterol levels, history of hypertension, diabetes, and family history of AMI. 
Computed for an increment of intake corresponding to one standard deviation of the distribution of all subjects, i.e. 80.68 mg for total flavonoids, 25.39 μg for isoflavones, 19.59 mg for anthocyanidins, 57.44 mg for flavan-3-ols, 32.33 mg for flavanones, 0.25 mg for flavones and 13.10 mg for flavonols. 
Reference category. 

Discussion

The present study adds epidemiological data on the relation between flavonoids and AMI. Reduced CHD mortality with higher intake of total flavonoids was found in the Zutphen Elderly Study cohort4, the Seven Countries Study cohort5, a Finnish cohort6 and the Iowa Womens’ cohort of postmenopausal women7, which also found protection with intake of kaempferol, a compound of the flavonol class. The ATBC (Alpha-Tocopherol Beta-Carotene) Cancer Prevention study reported no relation of consumption of flavonols and flavones combined with CHD mortality, but an inverse association with non-fatal AMI8. In contrast, the Male Health Professionals Study found no relation between non-fatal AMI and intake of flavonols and flavones combined, or with the individual flavonols quercetin, kaempferol and myricetin9. However, in the Rotterdam Study, the flavonols quercetin, kaempferol and myricetin were inversely related to risk of fatal AMI10. No relationship between flavonols and flavones with ischaemic heart disease mortality was found in the Caerphilly Study11, whereas an inverse association was found in the Finnish Mobile Clinic Health Examination Survey with the flavonol quercetin12. In the Women's Health Study, flavonoid intake was not associated with risk of cardiovascular disease13. A meta-analysis of seven prospective cohorts of men and women, including more than 2000 fatal CHD events, found an overall reduced risk with dietary flavonol intake (risk ratio of 0.80 for the highest tertile of intake compared with the lowest one)14.

The results of the present study indicate that intake of flavonoids is related to a reduced risk of non-fatal AMI, and that the strongest inverse association was observed for anthocyanidins. However, it is difficult to disentangle the effect of flavonoids from that of other dietary components, especially other antioxidants or other potentially cardioprotective components of vegetables, fruit and wine. In our study the inverse association of flavonoids with AMI risk was weaker after allowance for vegetables, fruit and alcohol (mainly wine in the Italian population), suggesting that the favourable effect of flavonoids on AMI risk found in this study may partly depend on other substances contained in these foods and beverages. However, these may well represent overadjustments, and the persistence of a protective effect of anthocyanidins also after adjustment for vegetables, fruit and alcohol supports a real inverse association between flavonoids and AMI risk. When alcohol was excluded from the multivariate model, a reduced risk was found for anthocyanidins (OR=0.44 for the highest quintile of intake compared with the lowest), flavan-3-ols (OR=0.67), flavonols (OR=0.64), total flavonoids (OR=0.58) and possibly for flavanones (OR=0.75), while no association was found with intake of isoflavones and flavones.

Soy proteins containing isoflavones have been reported to reduce circulating total and low-density lipoprotein (LDL) cholesterol and to increase high-density lipoprotein (HDL) cholesterol, but changes were related to level and duration of intake28. The typical Western diet contains low quantities of soy products or soy derivatives in comparison with the Asian one29. In the Italian diet, the intake of isoflavones is among the lowest of Western countries30 and the levels at which soy isoflavones are reported to be protective are not consumed by the majority of population28. Consequently our data are not very informative on this issue. The lack of association found for isoflavones is in agreement with the findings of the Dutch Prospect–EPIC cohort (European Prospective Investigation into Cancer and Nutrition)31, conducted in another Western population with low intake of isoflavones.

Flavonoids also have been shown to reduce oxidation of LDL32 and to increase cellular resistance to the deleterious effects of oxidised LDL33. They also reduce the release of cardiac mast cell mediators and decrease inflammation, which has been implicated in CHD34,35. Flavonoids also have favourable effects on endothelial function36 and inhibit platelet aggregation37.

In this study cases and controls were interviewed in the same hospitals, they came from the same geographical area, and their participation was similar and almost complete. We excluded from the comparison group patients admitted for chronic conditions or diseases related to known or potential risk factors for AMI, diet-related conditions and long-term modifications of diet. The food-frequency questionnaire was satisfactorily valid and reproducible21,22, and there is no reason to assume different recall of intake of the major sources of flavonoids on the basis of disease status, since the possibility of a relationship between these compounds and AMI risk was unknown to the interviewers and probably to most subjects interviewed. A potential limitation of the study is the adaptability of the US flavonoid food composition database to the Italian diet. However, this is unlikely to have introduced spurious associations since the same food composition database was applied to the intakes of both cases and controls, and imprecise classification of exposure is likely to lead to an attenuation of any real association. Flavonoids may affect the risk of CHD, or death from CHD. Since the cases here were only AMI survivors, an inverse relation with mortality might have attenuated any real association. Furthermore, we cannot exclude that healthier lifestyle may play a role in the inverse association of flavonoid intake with AMI risk. However, the potential confounding of covariates associated to AMI risk in this study38,39 was allowed for in the analysis.

Acknowledgements

The work was conducted with the contribution of the Italian Association for Cancer Research and the Italian League Against Cancer. The authors thank Drs A Lualdi (Istituto di Cardiologia, Università degli Studi di Milano, Centro Cardiologico Monzino, IRCCS, Milan, Italy), A Mafrici (Cardiology Department, Niguarda Ca’ Granda Hospital, Milan, Italy) and O Parodi (CNR Clinical Physiology Institute, Milan, Italy) for their helpful contribution to the clinical conduct of the study.

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CA1Corresponding author: Email: tavani@marionegri.it 


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