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Relationship of lycopene intake and consumption of tomato products to incident CVD

Published online by Cambridge University Press:  15 January 2013

Paul F. Jacques*
Affiliation:
Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA02111, USA
Asya Lyass
Affiliation:
NHLBI Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, MA01702, USA Department of Mathematics and Statistics, College of Arts and Sciences, Boston University, 111 Cummington Street, Boston, MA02215, USA
Joseph M. Massaro
Affiliation:
Department of Biostatistics, School of Public Health, Boston University, 715 Albany Street, Boston, MA02118, USA
Ramachandran S. Vasan
Affiliation:
NHLBI Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, MA01702, USA Department of Medicine, School of Medicine, Boston University, 761 Harrison Avenue, Boston, MA02118, USA
Ralph B. D'Agostino Sr
Affiliation:
NHLBI Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, MA01702, USA Department of Mathematics and Statistics, College of Arts and Sciences, Boston University, 111 Cummington Street, Boston, MA02215, USA
*
*Corresponding author: P. F. Jacques, fax +1 617 556 3344, email paul.jacques@tufts.edu
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Abstract

Evidence for cardioprotective effects of lycopene is inconsistent. Studies of circulating lycopene generally report inverse associations with CVD risk, but studies based on lycopene intake do not. The failure of dietary studies to support the findings based on biomarkers may be due in part to misclassification of lycopene intakes. To address this potential misclassification, we used repeated measures of intake obtained over 10 years to characterise the relationship between lycopene intake and the incidence of CVD (n 314), CHD (n 171) and stroke (n 99) in the Framingham Offspring Study. Hazard ratios (HR) for incident outcomes were derived from Cox proportional hazards regression models using logarithmically transformed lycopene intake adjusted for CVD risk factors and correlates of lycopene intake. HR were interpreted as the increased risk for a 2·7-fold difference in lycopene intake, a difference approximately equal to its interquartile range. Using an average of three intake measures with a 9-year follow-up, lycopene intake was inversely associated with CVD incidence (HR 0·83, 95 % CI 0·70, 0·98). Using an average of two intake measures and 11 years of follow-up, lycopene intake was inversely associated with CHD incidence (HR 0·74, 95 % CI 0·58, 0·94). Lycopene intake was unrelated to stroke incidence. The present study of lycopene intake and CVD provides supporting evidence for an inverse association between lycopene and CVD risk; however, additional research is needed to determine whether lycopene or other components of tomatoes, the major dietary source of lycopene, are responsible for the observed association.

Type
Full Papers
Copyright
Copyright © The Authors 2012 

Individuals who consume higher amounts of vegetables and fruits consistently demonstrate lower risks of CVD(Reference He, Nowson and MacGregor1Reference Dauchet, Amouyel and Hercberg4), but there is still much that we do not understand regarding the mechanism relating vegetable and fruit intake to CVD risk. Accumulating evidence from intervention trials suggests that the protective effect of vegetables and fruits may not necessarily be a consequence of their vitamin E and β-carotene(Reference Bruckdorfer5), whereas other research has suggested that lycopene, a dietary carotenoid obtained largely from tomato products, may provide cardioprotective benefits(Reference Rissanen, Voutilainen and Nyyssonen6Reference Ito, Kurata and Suzuki9). Many(Reference Rissanen, Voutilainen and Nyyssonen6Reference Ito, Kurata and Suzuki9), but not all(Reference Sesso, Buring and Norkus10Reference Street, Comstock and Salkeld12), prospective studies relating circulating lycopene concentrations and CVD risk have reported inverse associations, while studies based on dietary intake have generally failed to detect significant independent associations between lycopene and CVD risk(Reference Osganian, Stampfer and Rimm13Reference Tavani, Gallus and Negri17). The reason for the failure of dietary studies to support the findings based on biomarkers is not known but may be due in part to misclassification of lycopene intakes.

To address the potential misclassification, we used repeated measures of intake obtained over 10 years to characterise the relationship between the intake of lycopene and tomato-based products and the incidence of CVD, CHD and stroke.

Research design and methods

Population description

The Framingham Heart Study began in 1948 with the enrolment of 5209 adults aged 28–62 years residing in Framingham, a town west of Boston, MA(Reference Dawber and Kannel18), and has continued for over 60 years, with the survivors returning every 2 years for a physical examination and to complete a series of questionnaires, laboratory and cardiovascular tests. By 1971, the original cohort included 1644 husband–wife pairs and 378 individuals who had developed CVD. The offspring of these subjects and the offspring's spouses were invited to participate, and 5135 of the 6838 eligible individuals participated in the first Framingham Offspring Study examination(Reference Feinleib, Kannel and Garrison19). The Framingham Offspring cohort undergoes repeat examination approximately every 3–4 years. For the present study, we used data derived from the fifth, sixth and seventh study examinations, which spanned 10 years (1991–2001), with follow-up for incident CVD through to 2008.

The present study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving human participants were approved by the Boston University Medical Center Institutional Review Board. Written informed consent was obtained from all participants. The present study was approved by the Tufts Medical Center Institutional Review Board.

Dietary assessment

Dietary intakes were assessed using the Harvard semi-quantitative FFQ(Reference Rimm, Giovannucci and Stampfer20, Reference Willett, Sampson and Stampfer21) at the fifth, sixth and seventh examinations. The FFQ consists of a list of foods with a standard serving size and a selection of nine frequency categories ranging from never or < 1 serving/month to ≥ 6 servings/d. Participants were asked to report their frequency of consumption of each food item during the past year. Participants could also add up to three additional foods that are important components of their diets but are not listed on the questionnaire. Information on nutrient supplement use was also obtained by the FFQ. Dietary information was judged as unreliable and excluded from further study if reported energy intakes were < 2511 kJ/d (600 kcal/d) or >16 743 kJ/d (4000 kcal/d) for women and >17 580 kJ/d (4200 kcal/d) for men or if more than twelve food items were left blank.

Lycopene intake from food sources and multivitamin supplements was used to calculate lycopene intake. Ketchup, a relatively concentrated source of lycopene, was not listed as a standard food item on the FFQ, but participants had the option of listing it as an additional food. We also created a measure of tomato product consumption as the sum of tomatoes, tomato juice, tomato sauce and pizza consumption measured as servings per week.

Lycopene intake from the FFQ has been previously validated against plasma lycopene concentrations(Reference Michaud, Giovannucci and Ascherio22) and intake of tomatoes has been validated using repeated diet records(Reference Feskanich, Rimm and Giovannucci23, Reference Salvini, Hunter and Sampson24). Correlations between lycopene intake based on the FFQ and plasma lycopene were 0·47 and 0·21 for non-smoking men and women, respectively. The lower correlation in women was believed to be a result of hormonal factors affecting circulating lycopene concentrations and not the result of a difference in the ability of the FFQ to capture the lycopene intake in men and women(Reference Michaud, Giovannucci and Ascherio22, Reference Forman, Beecher and Muesing25). The correlation between the intake of tomatoes based on the FFQ and four 7 d diet records for the corresponding time period was 0·73 in women(Reference Salvini, Hunter and Sampson24), while the correlation in men based on two 7 d diet records was 0·71(Reference Feskanich, Rimm and Giovannucci23).

Ascertainment of CVD events and deaths

All participants are under continuous surveillance for the occurrence of CVD events and death. Hospitalisation records and physician office visit records are obtained and reviewed by a committee of three experienced investigators. For each death, the same committee assigns an underlying cause of death based on Framingham Heart Study records, hospitalisation records and, when available, autopsy results(Reference Lloyd-Jones, Martin and Larson26). Criteria for the diagnoses of cardiovascular events have been described elsewhere(Reference Kannel, Wolf and Garrison27). Incident CVD includes CHD (recognised or unrecognised myocardial infarction, angina pectoris, coronary insufficiency and CHD death), cerebrovascular disease (stroke and transient ischaemic attack), congestive heart failure (by Framingham criteria) and peripheral vascular disease (intermittent claudication). An unrecognised myocardial infarction was considered to have occurred if there was electrocardiographic evidence of significant loss of R waves or appearance of pathologic Q waves on serial tracings in the absence of a clinically recognised event. Sudden death, defined as death occurring within 1 h of the onset of symptoms, is attributed to CHD unless another cause is apparent(Reference Lloyd-Jones, Martin and Larson26). Stroke was defined as an acute-onset focal neurological deficit of presumed vascular origin persisting for ≥ 24 h. Transient ischaemic attack was defined as an episode of rapid-onset focal neurological dysfunction attributed to focal cerebral ischaemia with resolution within 24 h. All cerebrovascular events were adjudicated by a panel of two neurologists(Reference Carandang, Seshadri and Beiser28). For intermittent claudication, a physician-administered standardised questionnaire was used to elicit subjective symptoms of calf discomfort with exertion that occurred sooner with uphill or fast-paced walking and was alleviated with rest. All suspected claudication events were verified independently by a second physician examiner.

Assessment of covariates

Covariates used in our analyses included sex, age, systolic blood pressure, total cholesterol, total cholesterol:HDL ratio, BMI, current smoking status, number of packs smoked per d, hypertension treatment, prevalent diabetes and dietary intakes of energy, saturated fat, β-carotene, flavonols, vitamin C and vitamin E. Medical history (e.g. medication use) and lifestyle activities (e.g. smoking history) were assessed during a standardised medical examination and interview. Height and weight were measured with the participant standing, shoes off and wearing only a hospital gown. BMI was calculated as body weight in kg divided by the square of height in m. Sitting blood pressure was measured twice on each participant after a 5 min rest using a random-zero sphygmomanometer, and two readings were averaged for the analyses. Fasting ( ≥ 8 h) blood samples were drawn for assessing lipid levels. Plasma total cholesterol was measured by an enzymatic method(Reference McNamara and Schaefer29), and HDL-cholesterol was measured after dextran-magnesium precipitation(Reference Warnick, Benderson and Albers30). Diabetes was defined as a plasma glucose level ≥ 7·0 mmol/l (fasting) or ≥ 11·1 mmol/l (non-fasting), or use of hypoglycaemic drug therapy. We included β-carotene, flavonols, vitamin C and vitamin E as covariates not only as markers of vegetable and fruit consumption but also because these represent potential bioactive compounds found in varying quantities in tomatoes and other lycopene-containing foods.

Statistical methods

Our primary exposure was the natural logarithm of lycopene intake. Our primary outcome was incident CVD. Secondary analyses considered the intake of tomatoes and tomato-based products as an additional exposure, and incident CHD and stroke as outcomes. All analyses were performed using SAS version 9.2 (SAS Institute, Inc.). A P value < 0·05 was considered to be statistically significant.

Hazard ratios (HR) derived from Cox proportional hazards regression models (SAS PROC PHREG) were used to characterise the prospective associations between lycopene and tomato product intakes and the risk of CVD. Because lycopene intake was transformed using a natural logarithm, the HR is interpreted as the relative risk for a 2·7-fold difference (i.e. a one unit difference on the natural logarithmic scale) in lycopene intake. The 2·7-fold difference represents a reasonable intake difference in this population. It is similar to the ratio between the 75th and 25th percentiles of lycopene intake assessed at the fifth, sixth and seventh examinations, which ranged from 2·4 to 2·6.

In an attempt to minimise misclassification of lycopene and tomato product intake data, we considered two different exposures based on an average of intakes from the fifth and sixth examinations, and the fifth, sixth and seventh examinations. For each of these exposures, we initiated follow-up for CVD events at the date of the last examination included in the averaged intake. For example, follow-up for the averaged intake for the fifth and sixth examinations started at the date of the examination for participants at their sixth examination. Thus, the sixth examination served as baseline for the averaged intakes from the fifth and sixth examinations, and the seventh examination as baseline for the averaged intakes from the fifth, sixth and seventh examinations.

We considered three different models based on the inclusion of covariates: (1) an age- and sex-adjusted model (model 1); (2) a model with additional adjustment for systolic blood pressure, total cholesterol, total cholesterol:HDL ratio, BMI, smoking, number of packs per d, hypertension treatment, prevalent diabetes, saturated fat intake and energy intake (model 2); (3) a model with additional adjustment for dietary factors including β-carotene, vitamin C, vitamin E and flavonol intakes (model 3). Covariates, similar to the dietary data, reflect average values at the respective baseline examinations for the two follow-up periods.

To assess the validity of the proportional hazards assumption, we introduced interaction terms between follow-up time and our exposures, and use likelihood ratio tests to assess evidence for departures from this assumption. There was no evidence that this assumption was violated for any of these models. We also examine the potential for effect modification by sex and smoking, but there was no evidence of any statistical interactions.

The number of participants available for follow-up was dependent on the baseline examination. Participation at the baseline examination was the initial criterion for inclusion. Among those participating in the sixth examination, 412 participants were excluded because of existing CVD, 313 because of missing or invalid dietary data and 131 because of missing covariate data, leaving 2667 participants for follow-up. At the seventh examination, 479 participants were excluded because of existing CVD, 406 because of missing or invalid dietary data and 121 because of missing covariate data, leaving 2525 participants for follow-up.

Results

The average age and BMI at the fifth examination were 54 years and 27·2 kg/m2. Of the participants, 56 % were women, 18 % were current smokers, and 16 and 5 % had a history of hypertension and diabetes, respectively. The mean lycopene intake was 7·6, 7·9 and 8·0 mg/d at the fifth, sixth and seventh examinations, and the mean consumption of tomatoes and tomato-based products was 4·4, 4·4 and 4·6 servings/week at these three examinations.

The main contributors to lycopene intake at the fifth study examination were tomato sauce (46·4 %), pizza (23·6 %), fresh and canned tomatoes (14·6 %), tomato juice (6·0 %), watermelon (5·7 %), and grapefruit and grapefruit juice (2·6 %). No other food item contributed more than 1 %. There was a modest shift in sources of lycopene by the seventh examination where tomato sauce remained the predominant contributor to lycopene intake (45·1 %), followed by fresh and canned tomatoes (26·1 %), pizza (12·4 %), watermelon (7·4 %), tomato juice (5·9 %) and grapefruit and grapefruit juice (2·3 %).

The median follow-up was approximately 11 years from the sixth examination and approximately 9 years from the seventh examination. Although there were no statistically significant associations observed between lycopene intake and CVD incidence using the average of two intake assessments from the fifth and sixth examinations (Table 1), we observed significant associations between lycopene intake based on the average of three measures from the fifth, sixth and seventh examinations and CVD after adjustment for CVD risk factors (model 2) and additional adjustment for dietary correlates of lycopene intake (model 3). Interpretation of the HR from these models is complicated by the natural logarithm transformation of lycopene intake. For example, the HR for model 3 based on the average intake from the fifth, sixth and seventh examinations (HR 0·83) would translate into a 17 % lower incidence of CVD for a 2·7-fold difference in lycopene intake. The 2·7-fold difference is similar to the ratio between the 75th and 25th percentiles of lycopene intake assessed at the fifth, sixth and seventh examinations.

Table 1 Lycopene and tomato product intakes and incidence of CVD, CHD and stroke estimated from the hazard ratio (HR) among adult men and women from the Framingham Offspring cohort* (Hazard ratios and 95 % confidence intervals)

* At the fifth study examination, the Framingham Offspring cohort participants had a mean age of 54 years (range 26–79 years) and a mean BMI of 27·2 kg/m2 (range 14–54 kg/m2). Of the participants, 56 % were women, 18 % were current smokers, and 16 and 5 % had a history of hypertension and diabetes, respectively.

Mean lycopene intake was 7·6, 7·9 and 8·0 mg/d at the fifth, sixth and seventh examinations, respectively.

Intake is the average of intakes assessed at the Framingham Offspring cohort fifth and sixth examinations and follow-up time is counted from the date of the sixth examination.

§ Model 1: adjusted for age and sex.

Lycopene intake was transformed using a natural logarithm. Consequently, the HR are interpreted as the relative risk for a 2·7-fold difference (i.e. a one-unit difference on the natural logarithmic scale) in lycopene intake.

Model 2: adjusted for age, sex, systolic blood pressure, total cholesterol, total cholesterol:HDL ratio, BMI, smoking, number of packs per d, hypertension treatment, diabetes, saturated fat intake and energy intake.

** Model 3: adjusted for variables in model 2 plus β-carotene, flavonol, vitamin C and vitamin E intakes.

†† Intake is the average of intakes assessed at the Framingham Offspring cohort fifth, sixth and seventh examinations and follow-up time is counted from the date of the seventh examination.

‡‡ Mean consumption of tomatoes and tomato-based products was 4·4, 4·4 and 4·6 servings/week at the fifth, sixth and seventh examinations, respectively.

§§ The HR reflect the relative risk for a one serving per d difference in tomato product consumption.

The evidence for a relationship between lycopene intake and overall CHD shows a slightly different pattern than CVD (Table 1). We observed that increasing intake of lycopene based on the average of intakes from the fifth and sixth examinations was associated with a significantly lower risk of CHD, but the association between lycopene intake and CHD based on the average of the fifth, sixth and seventh examinations and the shorter follow-up period was not statistically significant. The association based on the average of the sixth and seventh examinations remained significant after multivariate adjustment. The HR of 0·74 for model 3 would translate into a 26 % lower incidence of CHD for a 2·7-fold difference in lycopene intake. No significant associations were observed between lycopene intake and stroke (Table 1).

The relationship between tomato and tomato product consumption and CVD and CHD was very similar to that seen with lycopene consumption (Table 1), except that the relationship between tomato product consumption and CHD was also apparent when using the intakes averaged from three examinations. The tomato products included in this analysis accounted for approximately 90 % of lycopene intake. As with lycopene intake, we observed no associations between tomato and tomato product consumption and the risk of stroke.

Discussion

These present findings demonstrate an inverse association between lycopene intake and the risk of CHD, but not stroke, and, along with evidence from earlier studies relating serum lycopene to the risk of CVD(Reference Rissanen, Voutilainen and Nyyssonen6Reference Ito, Kurata and Suzuki9) and carotid artery intima–media thickness(Reference Rissanen, Voutilainen and Nyyssonen31, Reference Rissanen, Voutilainen and Nyyssonen32), provide support for the hypothesis that higher lycopene is associated with lower CVD risk. In contrast, the previous studies of dietary lycopene and CVD risk provided little evidence of any association(Reference Osganian, Stampfer and Rimm13Reference Tavani, Gallus and Negri17). One of these studies based on male smokers in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Trial reported an inverse association with two subtypes of stroke (cerebral infarction and intracerebral haemorrhage) but lycopene intakes in this cohort were very low (median intake of 0·59 mg/d)(Reference Hirvonen, Virtamo and Korhonen16), complicating the interpretation of this finding. There was no significant association observed between lycopene intake and CVD risk in the Women's Health Initiative; however, in agreement with the observations from the present study, there was a marginally significant 31 % reduction in the risk of CHD associated with an approximately 5-fold difference in lycopene intakes from the lowest to the highest intake quintile categories(Reference Sesso, Liu and Gaziano14). The failure to detect a significant association may be the consequence of potential bias introduced by misclassification of exposure because lycopene intake was assessed using one baseline measure, and then participants were followed for a median follow-up of 7·2 years. Misclassification is a less likely explanation for the failure to observe significant associations in two other studies as lycopene intake was updated using cumulative averages during the follow-up(Reference Osganian, Stampfer and Rimm13, Reference Ascherio, Rimm and Hernan15). The final study to examine the relationship between dietary lycopene and CVD is a retrospective case–control study, which is subject to more sources of bias, including misclassification of lycopene intake as intake was based on a single assessment(Reference Tavani, Gallus and Negri17).

We also observed inverse associations between the consumption of tomatoes and tomato products and CVD and CHD incidence. The aforementioned Women's Health Initiative study, which found no significant association between lycopene intake and CVD risk, reported significant inverse associations between the consumption of tomato products and CHD and total CVD(Reference Sesso, Liu and Gaziano14).

We did not observe any evidence of an association between stroke incidence and either lycopene intake or tomato product consumption. However, given the relatively small number of events, particularly for the analyses based on the average of three intake measures, it is possible that the failure to observe any relationship with stroke was a consequence of inadequate statistical power.

Bioavailability and absorption of lycopene are relatively low and depend on the processing and preparation of lycopene-containing foods and on the fat content of the meal in which lycopene is consumed(Reference Rao and Rao33Reference Brown, Ferruzzi and Nguyen36). Low and variable bioavailability and absorption will result in greater misclassification of actual lycopene exposures based on intake, making it more difficult to establish the relationships between intake and health outcomes. Although the use of multiple measures of lycopene intake would not limit misclassification associated with bioavailability, our ability to characterise lycopene intake using repeated measures of intake may have allowed us to limit variability from other sources, increasing our ability to detect associations with CVD risk.

In addition to the use of multiple measures of dietary intake, the present study has other strengths, most notably the use of the Framingham Heart Study Offspring cohort, a pre-eminent longitudinal study of CVD. The Framingham Heart Study provides tremendous advantages for characterisation of CVD outcomes and important risk factor information. The fact that ketchup was not listed as a standard item of the FFQ is a potential limitation of the present study. Although participants could chose to include ketchup as an additional food item, it is likely that many participants did not report ketchup consumption. Ketchup is a concentrated source of lycopene that contains approximately the same amount of lycopene per unit weight as tomato sauce(Reference Holden, Eldridge and Beecher37). However, because of its small serving size relative to other important lycopene food sources (typically < 15 % by weight), the contribution of lycopene per serving is relatively small, so the misclassification of lycopene intake based on the incomplete ascertainment of ketchup intake should be modest overall, although it could be substantial for individuals who frequently consume ketchup. The FFQ also did not capture lycopene from single nutrient supplements, although we were able to measure lycopene included in multivitamins. As with ketchup, the average contribution from lycopene supplements would probably be small in this population but we would substantially misclassify lycopene intake for anyone who used these supplements. However, the misclassification associated with both ketchup and lycopene supplements would tend to weaken any observed association between lycopene and tomato intake and CVD risk. Finally, we did not adjust for overall vegetable and fruit intake because these are the dietary sources of lycopene, and adjusting for all fruits and vegetables (including those that contribute to lycopene intake) may result in some degree of over-adjustment. Instead, we chose to adjust for various bioactive compounds found in vegetables and fruits that may have the potential to confound the relationship between lycopene intake and CVD.

Evidence linking lycopene intake to intermediate CVD risk factors is somewhat limited in both experimental and human studies. In vitro and animal studies have suggested that lycopene can inhibit the production of reactive oxygen species, inflammation and platelet aggregation, reduce lipid peroxides and decrease total and LDL-cholesterol levels(Reference Bohm38). A meta-analysis of small human intervention studies has reported that lycopene intakes of approximately 25 mg/d resulted in a 10 % reduction in LDL-cholesterol relative to subjects on lycopene-free diets, and a small number of interventions between 4·5 and 15 mg/d of lycopene resulted in a significant 5 mmHg drop in systolic blood pressure(Reference Ried and Fakler39). A recent observational study was also able to demonstrate an inverse association between tomato product consumption and cholesterol concentrations(Reference Sesso, Wang and Ridker40). Serum LDL conjugated dienes, a marker of lipid oxidation, was also related to plasma lycopene in women but not in men(Reference Karppi, Nurmi and Kurl41).

The present study of lycopene and incident CVD adds to the accumulating evidence that lycopene is related to CVD risk. However, tomatoes and tomato-based products are by far the most important dietary sources of lycopene in observational studies, and most human lycopene trials are performed using tomato-based interventions. Thus, it is difficult to separate out the potential lycopene contribution to cardiovascular health from the overall contribution from tomato products and their other components. For example, tomatoes have been identified as a source of 9-oxo-10,12-octadecadienoic acid and its isomers, which are important oxylipins synthesised in plants that may act as PPARα agonists affecting lipid metabolism(Reference Kim, Hirai and Takahashi42). Tomatoes have also been identified as a source of natural salicylates (3·1 μg/100 g), although it is not known whether the dietary levels of salicylates provided by tomato products would be sufficient to produce any cardiovascular benefits(Reference Duthie and Wood43). Additional research is needed to sort out the potential benefits of tomatoes and their phytochemical components on CVD risk.

Acknowledgements

This study was supported by the European Union LYCOCARD Project through grant no. B514-09057 from the Ministry of Education and Cultural Affairs of the Free State of Thuringia, Germany, and by the National Institutes of Health/National Heart, Lung, and Blood Institute (contract N01-HC-25,195) and the United States Department of Agriculture (agreement no. 58-1950-7-707). None of the authors has a conflict of interest to declare. The authors' contributions were as follows: P. F. J., R. S. V. and R. B. D'A. contributed to the study design; J. M. M. provided the statistical guidance; A. L. performed the statistical analyses; P. F. J. drafted the manuscript; P. F. J., R. S. V., R. B. D'A., J. M. M. and A. L. contributed to the interpretation of the results and the editing of the manuscript.

References

1He, FJ, Nowson, CA & MacGregor, GA (2006) Fruit and vegetable consumption and stroke: meta-analysis of cohort studies. Lancet 367, 320326.Google Scholar
2He, FJ, Nowson, CA, Lucas, M, et al. (2007) Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: meta-analysis of cohort studies. J Hum Hypertens 21, 717728.Google Scholar
3Dauchet, L, Amouyel, P & Dallongeville, J (2005) Fruit and vegetable consumption and risk of stroke: a meta-analysis of cohort studies. Neurology 65, 11931197.Google Scholar
4Dauchet, L, Amouyel, P, Hercberg, S, et al. (2006) Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies. J Nutr 136, 25882593.CrossRefGoogle ScholarPubMed
5Bruckdorfer, KR (2008) Antioxidants and CVD. Proc Nutr Soc 67, 214222.Google Scholar
6Rissanen, TH, Voutilainen, S, Nyyssonen, K, et al. (2001) Low serum lycopene concentration is associated with an excess incidence of acute coronary events and stroke: the Kuopio Ischaemic Heart Disease Risk Factor Study. Br J Nutr 85, 749754.Google Scholar
7Sesso, HD, Buring, JE, Norkus, EP, et al. (2004) Plasma lycopene, other carotenoids, and retinol and the risk of cardiovascular disease in women. Am J Clin Nutr 79, 4753.Google Scholar
8Hak, AE, Ma, J, Powell, CB, et al. (2004) Prospective study of plasma carotenoids and tocopherols in relation to risk of ischemic stroke. Stroke 35, 15841588.Google Scholar
9Ito, Y, Kurata, M, Suzuki, K, et al. (2006) Cardiovascular disease mortality and serum carotenoid levels: a Japanese population-based follow-up study. J Epidemiol 16, 154160.Google Scholar
10Sesso, HD, Buring, JE, Norkus, EP, et al. (2005) Plasma lycopene, other carotenoids, and retinol and the risk of cardiovascular disease in men. Am J Clin Nutr 81, 990997.Google Scholar
11Hak, AE, Stampfer, MJ, Campos, H, et al. (2003) Plasma carotenoids and tocopherols and risk of myocardial infarction in a low-risk population of US male physicians. Circulation 108, 802807.CrossRefGoogle Scholar
12Street, DA, Comstock, GW, Salkeld, RM, et al. (1994) Serum antioxidants and myocardial infarction. Are low levels of carotenoids and alpha-tocopherol risk factors for myocardial infarction? Circulation 90, 11541161.CrossRefGoogle ScholarPubMed
13Osganian, SK, Stampfer, MJ, Rimm, E, et al. (2003) Dietary carotenoids and risk of coronary artery disease in women. Am J Clin Nutr 77, 13901399.Google Scholar
14Sesso, HD, Liu, S, Gaziano, JM, et al. (2003) Dietary lycopene, tomato-based food products and cardiovascular disease in women. J Nutr 133, 23362341.Google Scholar
15Ascherio, A, Rimm, EB, Hernan, MA, et al. (1999) Relation of consumption of vitamin E, vitamin C, and carotenoids to risk for stroke among men in the United States. Ann Intern Med 130, 963970.CrossRefGoogle ScholarPubMed
16Hirvonen, T, Virtamo, J, Korhonen, P, et al. (2000) Intake of flavonoids, carotenoids, vitamins C and E, and risk of stroke in male smokers. Stroke 31, 23012306.CrossRefGoogle Scholar
17Tavani, A, Gallus, S, Negri, E, et al. (2006) Dietary intake of carotenoids and retinol and the risk of acute myocardial infarction in Italy. Free Radic Res 40, 659664.Google Scholar
18Dawber, TR & Kannel, WB (1958) An epidemiologic study of heart disease: the Framingham study. Nutr Rev 16, 14.CrossRefGoogle ScholarPubMed
19Feinleib, M, Kannel, WB, Garrison, RJ, et al. (1975) The Framingham Offspring Study. Design and preliminary data. Prev Med 4, 518525.Google Scholar
20Rimm, EB, Giovannucci, EL, Stampfer, MJ, et al. (1992) Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 135, 11141126(discussion 1127–1136).Google Scholar
21Willett, WC, Sampson, L, Stampfer, MJ, et al. (1985) Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 122, 5165.CrossRefGoogle ScholarPubMed
22Michaud, DS, Giovannucci, EL, Ascherio, A, et al. (1998) Associations of plasma carotenoid concentrations and dietary intake of specific carotenoids in samples of two prospective cohort studies using a new carotenoid database. Cancer Epidemiol Biomarkers Prev 7, 283290.Google Scholar
23Feskanich, D, Rimm, EB, Giovannucci, EL, et al. (1993) Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire. J Am Diet Assoc 93, 790796.Google Scholar
24Salvini, S, Hunter, DJ, Sampson, L, et al. (1989) Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption. Int J Epidemiol 18, 858867.CrossRefGoogle ScholarPubMed
25Forman, MR, Beecher, GR, Muesing, R, et al. (1996) The fluctuation of plasma carotenoid concentrations by phase of the menstrual cycle: a controlled diet study. Am J Clin Nutr 64, 559565.Google Scholar
26Lloyd-Jones, DM, Martin, DO, Larson, MG, et al. (1998) Accuracy of death certificates for coding coronary heart disease as the cause of death. Ann Intern Med 129, 10201026.Google Scholar
27Kannel, WB, Wolf, PA & Garrison, RJ (1987) Some Risk Factors Related to the Annual Incidence of Cardiovascular Disease and Death in Pooled Repeated Biennial Measurements. Framingham Heart Study, 30 year Follow-up. Bethesda, MD: US Department of Health and Human Services.Google Scholar
28Carandang, R, Seshadri, S, Beiser, A, et al. (2006) Trends in incidence, lifetime risk, severity, and 30-day mortality of stroke over the past 50 years. JAMA 296, 29392946.Google Scholar
29McNamara, JR & Schaefer, EJ (1987) Automated enzymatic standardized lipid analyses for plasma and lipoprotein fractions. Clin Chim Acta 166, 18.CrossRefGoogle ScholarPubMed
30Warnick, GR, Benderson, J & Albers, JJ (1982) Dextran sulfate-Mg2+ precipitation procedure for quantitation of high-density-lipoprotein cholesterol. Clin Chem 28, 13791388.Google Scholar
31Rissanen, T, Voutilainen, S, Nyyssonen, K, et al. (2000) Low plasma lycopene concentration is associated with increased intima-media thickness of the carotid artery wall. Arterioscler Thromb Vasc Biol 20, 26772681.CrossRefGoogle ScholarPubMed
32Rissanen, TH, Voutilainen, S, Nyyssonen, K, et al. (2003) Serum lycopene concentrations and carotid atherosclerosis: the Kuopio Ischaemic Heart Disease Risk Factor Study. Am J Clin Nutr 77, 133138.Google Scholar
33Rao, AV & Rao, LG (2007) Carotenoids and human health. Pharmacol Res 55, 207216.CrossRefGoogle ScholarPubMed
34Arab, L & Steck, S (2000) Lycopene and cardiovascular disease. Am J Clin Nutr 71, 1691S1695S(discussion 1696S–1697S).Google Scholar
35Tang, G, Ferreira, AL, Grusak, MA, et al. (2005) Bioavailability of synthetic and biosynthetic deuterated lycopene in humans. J Nutr Biochem 16, 229235.Google Scholar
36Brown, MJ, Ferruzzi, MG, Nguyen, ML, et al. (2004) Carotenoid bioavailability is higher from salads ingested with full-fat than with fat-reduced salad dressings as measured with electrochemical detection. Am J Clin Nutr 80, 396403.CrossRefGoogle ScholarPubMed
37Holden, JM, Eldridge, AL, Beecher, GR, et al. (1999) Carotenoid content of U.S. foods: an update of the database. J Food Comp Anal 12, 169196.CrossRefGoogle Scholar
38Bohm, V (2012) Lycopene and heart health. Mol Nutr Food Res 56, 296303.Google Scholar
39Ried, K & Fakler, P (2011) Protective effect of lycopene on serum cholesterol and blood pressure: meta-analyses of intervention trials. Maturitas 68, 299310.Google Scholar
40Sesso, HD, Wang, L, Ridker, PM, et al. (2012) Tomato-based food products are related to clinically modest improvements in selected coronary biomarkers in women. J Nutr 142, 326333.Google Scholar
41Karppi, J, Nurmi, T, Kurl, S, et al. (2010) Lycopene, lutein and beta-carotene as determinants of LDL conjugated dienes in serum. Atherosclerosis 209, 565572.Google Scholar
42Kim, YI, Hirai, S, Takahashi, H, et al. (2011) 9-oxo-10(E),12(E)-Octadecadienoic acid derived from tomato is a potent PPAR alpha agonist to decrease triglyceride accumulation in mouse primary hepatocytes. Mol Nutr Food Res 55, 585593.Google Scholar
43Duthie, GG & Wood, AD (2011) Natural salicylates: foods, functions and disease prevention. Food Funct 2, 515520.Google Scholar
Figure 0

Table 1 Lycopene and tomato product intakes and incidence of CVD, CHD and stroke estimated from the hazard ratio (HR) among adult men and women from the Framingham Offspring cohort* (Hazard ratios and 95 % confidence intervals)