AJCN 19th International Congress of Nutrition
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American Journal of Clinical Nutrition, Vol. 87, No. 1, 64-69, January 2008
© 2008 American Society for Nutrition

ORIGINAL RESEARCH COMMUNICATION

Plasma vitamin C concentrations predict risk of incident stroke over 10 y in 20 649 participants of the European Prospective Investigation into Cancer–Norfolk prospective population study 1,2,3

Phyo K Myint, Robert N Luben, Ailsa A Welch, Sheila A Bingham, Nicholas J Wareham and Kay-Tee Khaw

1 From the Department of Public Health and Primary Care, University of Cambridge, United Kingdom (PKM, RNL, AAW, and K-TK); the MRC Centre for Nutrition and Cancer, Cambridge, United Kingdom (SAB); and the MRC Epidemiology Unit, Elsie Widdowson Laboratories, Cambridge, United Kingdom (NJW)

See corresponding editorial on page 5.

2 EPIC-Norfolk is supported by research program grant funding from Cancer Research UK and the Medical Research Council with additional support from the Stroke Association, British Heart Foundation, Research Into Ageing, Academy of Medical Sciences, and Wellcome Trust.

3 Address reprint requests and correspondence to PK Myint, c/o Clinical Gerontology Unit, Level 2, F&G Block, Box-251, Addenbrooke's University Hospital, Hills Road, Cambridge CB2 0QQ, United Kingdom. E-mail: pkyawmyint{at}aol.com.


   ABSTRACT
TOP
 ABSTRACT
INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Background: The relation between plasma vitamin C and risk of stroke remains unclear. Although clinical trials showed no significant benefit of vitamin C supplementation in reducing stroke risk, they were not able to examine the relation between plasma vitamin C concentrations and stroke risk in a general population.

Objective: The objective was to examine the relation between baseline plasma vitamin C concentrations and risk of incident stroke in a British population.

Design: A population-based prospective study was conducted in 20 649 men and women aged 40–79 y without prevalent stroke at baseline and participating in the European Prospective Investigation into Cancer–Norfolk prospective population study. The participants completed a health questionnaire and attended a clinic during 1993–1997 and were followed up for incident strokes through March 2005.

Results: Over 196 713 total person-years (average follow-up: 9.5 y), 448 incident strokes occurred. In a Cox proportional hazards model, persons in the top quartiles of baseline plasma vitamin C concentrations had a 42% lower risk (relative risk: 0.58; 95% CI: 0.43, 0.78) than did those in the bottom quartile, independently of age, sex, smoking, body mass index, systolic blood pressure, cholesterol, physical activity, prevalent diabetes and myocardial infarction, social class, alcohol consumption, and any supplement use. Similar results were obtained after exclusion of persons with illnesses, users of ascorbic acid–containing supplements, and persons with a history of early strokes during the initial 2 y of follow-up.

Conclusions: Plasma vitamin C concentrations may serve as a biological marker of lifestyle or other factors associated with reduced stroke risk and may be useful in identifying those at high risk of stroke.

Key Words: Plasma vitamin C • epidemiology • fruit and vegetables • stroke


   INTRODUCTION
TOP
 ABSTRACT
 INTRODUCTION
SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The main source of vitamin C (ascorbic acid) in humans is from the consumption of fruit, vegetables, and plant foods because they cannot synthesize ascorbic acid in the body (1). Furthermore, ascorbic acid in the food is easily destroyed (eg, via cooking in water, roasting, or grilling) (1) and has a short half-life ({approx}30 min) in the blood (2, 3). Therefore, plasma concentrations of vitamin C in a random blood sample are most likely to be related to an individual's habitual dietary pattern and method of food preparation. For example, fresh fruit and vegetables are a richer source of ascorbic acid than are cooked or boiled fruit and vegetables. As a result of antioxidant activity, higher levels of ascorbic acid are thought to be associated with reduced cardiovascular disease risk (4). Although randomized trials indicate that supplementation with antioxidant vitamins, including β-carotene, vitamin E, and vitamin C, do not reduce cardiovascular disease risk (5, 6), prospective studies indicate that high fruit and vegetable intakes, of which plasma vitamin C is a good biomarker, are associated with lower stroke risk (7-9). However, few prospective studies have examined the relation between plasma vitamin C concentrations and stroke (8) (10), and such studies have been limited in their ability to account for potential confounding factors. We explored the relation between baseline plasma vitamin C concentrations and future stroke risk in British participants in the European Prospective Investigation into Cancer (EPIC)–Norfolk.


   SUBJECTS AND METHODS
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
RESULTS
 DISCUSSION
 REFERENCES
 
Participants
Participants were drawn from the EPIC-Norfolk prospective population study, which recruited men and women aged 40–79 y at the study baseline during 1993–1997 from residents in Norfolk, United Kingdom. The detailed recruitment method and study protocol of EPIC-Norfolk were described previously (11). Briefly, all eligible community-dwelling adults from 35 participating general practices were invited to participate. A total of 30 445 ({approx}40% response) persons provided written consent to participate in the study (99.6% white British persons). The Norwich Local Research Ethics Committee approved the study.

Measurements
At the time of the baseline survey, participants completed a detailed health and lifestyle questionnaire. The participants were asked about their medical history with the question, "Has a doctor ever told you that you have any of the following?", in reference to the following conditions: stroke, heart attack, diabetes, and cancer. Smoking history was obtained by asking the following yes or no questions: "Have you ever smoked as much as one cigarette a day for as long as a year?" and "Do you smoke cigarettes now?". Participants who took any supplements or supplements containing vitamin C were identified from the question, "Have you taken any vitamins, minerals, or other food supplements regularly during the past year (such as vitamin C, vitamin D, iron, calcium, fish oils, primrose oil, β-carotene)?", which was followed by "name/brand and dose."

Trained nurses examined individuals at a baseline clinic visit. Height and weight were measured, and body mass index (BMI) was calculated as weight (kg) divided by height squared (m). Blood pressure (BP) was measured with an Accutorr monitor (Datascope, Huntingdon, United Kingdom) after the participant had been seated for 5 min. We used the mean of 2 measurements for analysis. Nonfasting venous blood samples were taken into plain and citrate bottles. After overnight storage in a dark box at 4–7 °C, the sample bottles were centrifuged at 2100 x g for 15 min at 4 °C. About 1 y after the start of the study, when funding became available, extra blood samples from participants were taken for ascorbic acid assays. Plasma vitamin C was measured from blood collected into citrate bottles, and plasma was stabilized in a standardized volume of metaphosphoric acid stored at –70 °C. We estimated plasma vitamin C concentrations with a fluorometric assay within 1 wk of sampling (12). The CV was 5.6% at the lower end of the range (mean: 33.2 µmol/L) and 4.6% at the upper end (mean: 102.3 µmol/L). Other blood samples for assay were stored at 4 °C and assayed at the Department of Clinical Biochemistry (University of Cambridge, Cambridge, United Kingdom) within 1 wk after samples were collected. We measured serum total cholesterol, HDL cholesterol, and triacylglycerol with the RA 1000 (Bayer Diagnostics, Basingstoke, United Kingdom) and calculated LDL-cholesterol concentrations with the Friedewald formula (13).

Social class was classified according to the Registrar General's occupation-based classification scheme (14). Social class I consists of professionals, social class II includes managerial and technical occupations, social class III is subdivided into nonmanual skilled workers and manual skilled workers, social class IV consists of partly skilled workers, and social class V comprises unskilled manual workers (15). Social class was also recategorized as nonmanual (I, II, and III nonmanual) and manual (III manual, IV, and V) social classes. Alcohol consumption was derived from a food-frequency questionnaire (FFQ) collected at baseline. For the "drinks" category, responses ranging from never to >6 times/d were given for 4 types of alcoholic drinks. An in-house computer program, CAFE, was developed for data entry and analysis (16). A 4-level physical activity index was derived from the validated EPIC short physical activity questionnaire designed to assess combined work and leisure activity. Participants were categorized into inactive, moderately inactive, moderately active, and active categories. The validity and repeatability of this scoring system was detailed elsewhere (17). We further categorized these into inactive (inactive and moderately inactive) and active (moderately active and active) categories.

Case ascertainment
Incident stroke cases were ascertained by using death certificate data and hospital record linkage. All participants are flagged for death at the UK Office of National Statistics. Death certificates are coded by trained nosologists using International Classification of Disease (ICD), revisions 9 and 10. Participants are also linked to National Health Service hospital information systems so that admissions anywhere in the United Kingdom are reported to EPIC-Norfolk through routine annual record linkage. Stroke death was defined as ICD-9 430–438 or ICD-10 60–69 anywhere on the death certificate. Incident stroke was defined as stroke death or hospital discharge code ICD-9 430–438 or ICD-10 60–69. The current study is based on follow-up through March 2005.

Statistical analysis
We excluded participants with a history of stroke at the baseline and who had any missing value for the variables included in the analyses. Statistical analyses were performed by using SPSS for WINDOWS (version 14.0; SPSS, Chicago, IL). We used Cox proportional hazards model to determine the independent association between plasma vitamin C concentrations at baseline and risk of stroke during the follow-up. To estimate the independent contribution of vitamin C concentration to stroke risk, multivariate Cox regression models were constructed for quartile of ascorbic acid concentration with control for 1) age and sex; 2) age, sex, and smoking; 3) age, sex, smoking, BMI, systolic BP (every 10-mm Hg increase), cholesterol concentration, physical activity, history of myocardial infarction, and diabetes mellitus; 4) the preceding factors plus social class and alcohol consumption; and 5) the preceding factors plus control for any supplement use. Analyses were repeated (as per final model) after additional exclusion of 1) those with prevalent myocardial infarction and cancer, 2) users of vitamin C–containing supplements, 3) those with a history of incident stroke occurring during the initial 2 y of follow-up, and 4) additionally adjusted for average fruit and vegetable consumption.

We further examined the relative risk of stroke stratified by 1) sex (men and women), 2) age (<70 and ≥70 y), 3) smoking status (never, former, and current smokers) 4) BMI (<27 and ≥27), 5) systolic BP (<150 and ≥150 mm Hg), 6) cholesterol concentration (<6 and ≥6 mmol/L), 7) social class (manual and nonmanual), 8) physical activity (inactive and active), and 9) supplement use (users and nonusers) for every 20-µmol/L increase ({approx}1 SD) in plasma vitamin C concentration.


   RESULTS
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
DISCUSSION
 REFERENCES
 
A total of 20 649 participants were included in the current study after exclusion of those who reported a stroke at the baseline survey (n = 455) and those with missing data for any of the variables included in the main model (n = 9341). There were a total of 448 incident strokes over 196 713 total person-years of follow-up (average: 9.5 y). Of these, 147 (33%) were fatal (main cause of death).

The distribution of sample characteristics by quartiles of plasma vitamin C concentration by sex-combined and then sex-specific analyses are shown in Table 1Go. Quartile 1 represents the lowest quartile, whereas quartile 4 represents the highest plasma vitamin C concentration. Men and women who were in the top quartile category were younger and had a lower BMI, systolic BP, and cholesterol concentration. Participants in the highest quartile were less likely to be smokers, were more likely to be in nonmanual occupations, were physically more active, were more likely to take supplements, consumed more fruit and vegetables, and had a lower prevalence of myocardial infarction and diabetes than did those in the lower quartile categories. Of those variables included in the analyses, vitamin C x sex interaction terms were significant only for BMI and vitamin C–containing supplement use (P < 0.0001 for both).


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  		TABLE 1. Distribution of sex-combined and selected sex-specific sample characteristics by plasma vitamin C quartiles in 20 649 men and women of the European Prospective Investigation into Cancer (EPIC)–Norfolk cohort at baseline (1993–1997)1

 
The relative risks (RRs) and corresponding 95% CIs for incident stroke are shown in Table 2Go. With increasing adjustments for covariates, RR estimates were slightly attenuated. In model E, participants who were in the top quartile had a 42% lower RR (0.58; 95% CI: 0.43, 0.78) than did those who were in the bottom quartile of plasma vitamin C, independently of age, sex, smoking, BMI, systolic BP, cholesterol, physical activity, prevalent diabetes, myocardial infarction, social class, alcohol consumption, and any supplement use. The results were similar after the exclusion of participants with prevalent myocardial infarction and cancer (model F), those who used vitamin C–containing supplements (model G), and after additional adjustment for fruit and vegetable consumption (model H) and after exclusion of incident strokes occurring within the first 2 y of follow-up (model I). There appeared to be an inverse dose-response linear relation between baseline plasma vitamin C concentration and stroke risk across the sample population.


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  		TABLE 2. Relative risks (and 95% CIs) for risk of stroke by quartile of plasma vitamin C concentration at baseline in the European Prospective Investigation into Cancer (EPIC)–Norfolk population (1993–1977 to 2005)1

 
With a Cox-proportional hazards model, RRs for every 20-µmol/L increase in plasma vitamin C concentration were estimated in stratified analyses categorized by 1) sex (male and. female), 2) age (<70 y and ≥70 y), 3) smoking status (never, former, and current smokers), 4) BMI (<27 and ≥27), 5) systolic BP (<150 and ≥150 mm Hg), 6) cholesterol concentration (<6 and ≥6 mmol/L), 7) occupational social class (manual and nonmanual), 8) physical activity (active and inactive), and 9) supplement use (user and nonuser). The covariates adjusted in these models (except in the model in which the variable is of interest) were age, sex, smoking status, BMI, 10-mm Hg increase in systolic BP, cholesterol concentration, physical activity, social class, diabetes, myocardial infarction, alcohol consumption, and any supplement use (data not shown). An increasing plasma vitamin C concentration was associated with a reduced stroke risk in all stratified analyses. The effects appeared to be somewhat attenuated in men, within manual social class, and among participants with a cholesterol concentration <6 mmol/L. We reported the main effect only because the interaction terms for each of the subgroups were not significant. There was an overall 17% reduction in incident stroke (RR: 0.83; 95% CI: 0.75, 0.92) for every 20- µmol/L increase in plasma vitamin C concentration.


   DISCUSSION
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
REFERENCES
 
Consistent with previous population-based studies (8-10, 18, 19), we found a significant inverse relation between plasma vitamin C concentrations and subsequent stroke risk in a general population who had no history of stroke at baseline. This result was independent of known biological, social, and lifestyle risk factors for stroke: age, sex, smoking, BMI, systolic BP, cholesterol concentration, physical activity, prevalent diabetes and myocardial infarction, social class, alcohol consumption, and any supplement use.

Nearly 10 y ago, Simon et al (20) showed a cross-sectional relation between serum ascorbic acid concentration and prevalence of stroke in 6624 US men and women enrolled in the second National Health and Nutrition Examination Survey. Although previous population-based prospective studies (8-10) confirmed a relation between plasma vitamin C concentration and incident stroke risk, these studies have generally been based on small sample sizes with a lower number of incident strokes (<250) and often were not able to examine many covariates. The current study is a large prospective population-based study (>20 000 participants) that was able to take into account biological (age, BMI, BP, and cholesterol), social (occupational social class), and lifestyle behavior (smoking, alcohol consumption, physical activity level, and supplement use) factors that are associated with risk of stroke and had the additional ability to take into account prevalent illnesses at baseline, including myocardial infarction, diabetes, and cancer.

In an observational study, confounding and reverse causality issues require attention. We addressed these issues in this study in several ways. First, we adjusted for possible confounders that potentially relate to both ascorbic acid concentration and known stroke risk factors (21). Second, we examined the multivariate-adjusted relation after excluding those with prevalent illness, those who took supplements, and those with a history of stroke within the first 2 y of follow-up. Third, we performed analyses stratifying by age, sex, BMI, systolic BP, cholesterol concentration, occupational social class, physical activity level, and supplement use; the results did not differ significantly between the various subgroups.

Naturally, our study had limitations. Because of the requirement of subjects to provide detailed health and lifestyle information and to be able to undergo health checks, the initial response rate was modest ({approx}40%). This may have introduced a healthy responder bias. Nevertheless, the baseline characteristics of the study population were similar to those of other UK population samples, except for a slightly lower prevalence of smokers (11). Moreover, the truncation of distribution because of healthy responders likely attenuated the associations, but this should not have affected the relation between vitamin C and stroke observed within the study participants; if anything, truncation of the distribution is likely to reduce the power of any associations. We used death certification and a hospital record linkage system using ICD coding to identify stroke cases. Although follow-up with the use of these methods is virtually complete, this approach may underestimate incident nonfatal stroke cases that are not admitted to the hospital. The use of self-reported stroke to exclude prevalent cases may have missed some prevalent strokes. We were not able to separately examine stroke subtypes. Nevertheless, the primary focus of the study was to assess the risk prediction of clinical stroke event severe enough to lead to hospitalization or death regardless of stroke subtype. In any case, the misclassification of strokes was likely to only attenuate any associations.

Only single measurements of plasma vitamin C and other covariates, such as cholesterol and BP, were made at baseline. These measures as well as lifestyle behaviors, which may affect vitamin C concentration, may have changed over the follow-up period. Moreover, the blood sample taken was a nonfasting sample and was therefore less standardized for some of the variables (eg, cholesterol concentration) than was a fasting blood sample. Nevertheless, random measurement error was likely only to attenuate any relations observed between plasma vitamin C and stroke.

Plasma vitamin C concentration was a good biomarker of plant food, namely fruit and vegetable intakes, in our cohort. The 20-µmol or 1-SD increase in plasma vitamin C concentration is associated with approximately one additional serving of fruit and vegetables daily (22). This agrees with more recently published literature on the relation between higher dietary fruit and vegetable intake and reduced stroke risk (23, 24). However, observational studies are not all consistent (25, 26), and antioxidant supplementation including vitamin C did not produce a substantial benefit in clinical trial settings in high risk individuals (6, 27). The recent Women's Health Initiative also reported no reduction in cardiovascular disease in the group allocated to a low-fat and higher fruit and vegetable target diet (28).

There are some plausible explanations why the discrepancy exists between cohort studies and trials. Many of the supplementation trials, such as the Heart Protection Study and the Finnish Alpha-Tocopherol Beta-Carotene Cancer Prevention Study, were conducted in high-risk or highly selected rather than general populations (27, 29, 30). Additionally, combinations of antioxidants, some of them in pharmacologic doses, such as vitamin E, may have unpredicted biological effects.

Moreover, the lack of benefit of vitamin C in clinical trials could be explained by the relation between vitamin C dose and plasma concentration. At doses <100 mg/d, there is a large change in plasma concentration for small changes in dose. Above 100 mg/d, there is little change in plasma concentration despite large changes in dose. If the control group (ie, lowest quartile) consumed 100 mg/d, then further increases in dose would be predicted to cause little change in concentration. The outcome, therefore, may not be affected at higher doses. This problem was first pointed out by Levine et al in 1999 (31).

The association appeared to be independent of the most plausible confounders (32), such as smoking, physical activity, and social class, as we previously highlighted (22, 33). The mean height of men and women by quartile of vitamin C concentrations did not show material differences (Table 2Go); hence, life-course factors are unlikely to be significant confounders. An intriguing possibility is that the plasma vitamin C concentration is a good marker of a wider range of health behaviors, such as fruit and vegetable consumption, that may be protective against stroke. Even then, it appears that the relation was independent of fruit and vegetable consumption. It is also possible that the relation could reflect measurement error related to the dietary instruments. It is also plausible that vitamin C may biochemically affect stroke risk. Given the current evidence, it unlikely that long-term randomized controlled trials of isolated vitamin C supplementation and cardiovascular disease endpoints will be conducted. Nevertheless, the magnitude of the association between plasma vitamin C and subsequent stroke is substantial and independent of known major risk factors for stroke.

We believe that these findings are of interest for several reasons. First, the strong inverse association between plasma vitamin C and stroke suggests that plasma vitamin C is likely to be a good biomarker of whatever causal factors affect stroke risk, most plausibly the dietary intake of plant foods. However, identification of the relevant factors may lead to better stroke prevention. Second, irrespective of any causal associations, plasma vitamin C appears to be a good predictive risk indicator of stroke, independent of known risk factors such as age, BP, smoking, lipids, diabetes, and BMI. Given that about half of the risk of stroke is unexplained by conventional cardiovascular disease risk factors (34) and that the predictive validity of traditional cardiovascular disease risk factors appears to diminish with age (35, 36), risk markers that may help to identify those persons at greatest risk of stroke for targeted preventive interventions with established therapies, such as BP reduction, may be of interest.


   ACKNOWLEDGMENTS
 
We thank the participants and general practitioners who took part in the study, the staff of EPIC-Norfolk, and our funders.

The authors' responsibilities were as follows—K-TK, SAB, and NJW: principal investigators in the EPIC-Norfolk population study; RNL: responsible for data management, computing, and data linkages; PKM: conducted the analysis; and AAW: involved in the study design and in the writing of the manuscript. All coauthors contributed to the writing of this article. KTK was the guarantor. No conflicts of interest were reported by any of the authors.


   REFERENCES
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Food Standard Agency. EVM review of vitamin C. Eat well, be well. Helping you make healthier choices. Internet: http://www.food.gov.uk/multimedia/pdfs/evm_c.pdf (accessed 15 October 2007).
  2. Hickey S, Roberts H. Ascorbate: the science of vitamin C. Napa, CA: Lulu Press, Inc, 2004. (ISBN 1-4116-0724-4.)
  3. Hickey S, Roberts H. Misleading information on the properties of vitamin C. PLoS Med 2005;2:e307; author reply e309.[Medline]
  4. Padayatty SJ, Katz A, Wang Y, et al. Vitamin C as an antioxidant: evaluation of its role in disease prevention. J Am Coll Nutr 2003;22:18–35.[Abstract/Free Full Text]
  5. Yusuf S, Dagenais G, Pogue J, Bosch J, Sleight P. Vitamin E supplementation and cardiovascular events in high-risk patients. The Heart Outcomes Prevention Evaluation Study Investigators. N Engl J Med 2000;342:154–60.
  6. Finnish ATBC Study. The effect of vitamin E and beta carotene on the incidence of lung cancer and other cancers in male smokers. The Alpha-Tocopherol, Beta Carotene Cancer Prevention Study Group. N Engl J Med 1994;330:1029–35.
  7. Ness AR, Powles JW, Khaw KT. Vitamin C and cardiovascular disease: a systematic review. J Cardiovasc Risk 1996;3:513–21.[Medline]
  8. Yokoyama T, Date C, Kokubo Y, Yoshiike N, Matsumura Y, Tanaka H. Serum vitamin C concentration was inversely associated with subsequent 20-year incidence of stroke in a Japanese rural community. The Shibata Study. Stroke 2000;31:2287–94.[Abstract/Free Full Text]
  9. Voko Z, Hollander M, Hofman A, Koudstaal PJ, Breteler MM. Dietary antioxidants and the risk of ischemic stroke: the Rotterdam Study. Neurology 2003;61:1273–5.[Abstract/Free Full Text]
  10. Gale CR, Martyn CN, Winter PD, Cooper C. Vitamin C and risk of death from stroke and coronary heart disease in cohort of elderly people BMJ 1995;310:1563–6.
  11. Day N, Oakes S, Luben R, et al. EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br J Cancer 1999;80(suppl 1):95–103.[Medline]
  12. Vuilleumier J, Keck E. Fluorometric assay of vitamin C in biological materials using a centrifugal analyser with fluorescence attachment. J Micronutr Anal 1989;5:25–34.
  13. Friedewald WT, Levy RI, Frederickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without the use of the preparative ultracentrifuge. Clin Chem 1972;18: 499–502.[Abstract]
  14. Elias P, Halstead K, Prandy K. CASOC: computer-assisted standard occupational coding. London, UK: HMSO, 1993.
  15. Shohaimi S, Luben R, Wareham N, et al. Residential area deprivation predicts smoking habit independently of individual educational level and occupational social class. A cross sectional study in the Norfolk cohort of the European Prospective Investigation into Cancer (EPIC-Norfolk). J Epidemiol Community Health 2003;57:270–6.[Abstract/Free Full Text]
  16. Welch AA, Luben R, Khaw KT, Bingham SA. The CAFE computer program for nutritional analysis of the EPIC-Norfolk food frequency questionnaire and identification of extreme nutrient values. J Hum Nutr Dietet 2005;18:99–116.[Medline]
  17. Wareham NJ, Jakes RW, Rennie KL, et al. Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 2003;6:407–13.[Medline]
  18. Eichholzer M, Stahelin HB, Gey KF. Inverse correlation between essential antioxidants in plasma and subsequent risk to develop cancer, ischemic heart disease and stroke respectively: 12-year follow-up of the Prospective Basel Study. EXS 1992;62:398–410.[Medline]
  19. Ross RK, Yuan JM, Henderson BE, Park J, Gao YT, Yu MC. Prospective evaluation of dietary and other predictors of fatal stroke in Shanghai, China. Circulation 1997;96:50–5.[Abstract/Free Full Text]
  20. Simon JA, Hudes ES, Browner WS. Serum ascorbic acid and cardiovascular disease prevalence in U.S. adults. Epidemiology 1998;9(3):316–21.[Medline]
  21. Fotherby MD, Williams JC, Forster LA, Craner P, Ferns GA. Effect of vitamin C on ambulatory blood pressure and plasma lipids in older persons. J Hypertens 2000;18:411–5.[Medline]
  22. Khaw KT, Bingham S, Welch A, et al. Relation between plasma ascorbic acid and mortality in men and women in EPIC-Norfolk prospective study: a prospective population study. European Prospective Investigation into Cancer and Nutrition. Lancet 2001;357:657–63.[Medline]
  23. Johnsen SP, Overvad K, Stripp C, Tjonneland A, Husted SE, Sorensen HT. Intake of fruit and vegetables and the risk of ischemic stroke in a cohort of Danish men and women. Am J Clin Nutr 2003;78:57–64.[Abstract/Free Full Text]
  24. Ness AR, Maynard M, Frankel S, et al. Diet in childhood and adult cardiovascular and all cause mortality: the Boyd Orr cohort. Heart 2005;91:894–8.[Abstract/Free Full Text]
  25. Ascherio A, Rimm EB, Hernan MA, et al. Relation of consumption of vitamin E, vitamin C, and carotenoids to risk for stroke among men in the United States. Ann Intern Med 1999;130:963–70.[Abstract/Free Full Text]
  26. Ross RK, Yuan JM, Henderson BE, Park J, Gao YT, Yu MC. Prospective evaluation of dietary and other predictors of fatal stroke in Shanghai, China Circulation 1997;96:50–5.
  27. Heart Protection Study Collaborative Group. MRC/BHF Heart Protection Study of antioxidant vitamin supplementation in 20,536 high-risk individuals: a randomised placebo-controlled trial. Lancet 2002;360:23–33.[Medline]
  28. Howard BV, Van Horn L, Hsia J, et al. Low-fat dietary pattern and risk of cardiovascular disease: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. JAMA 2006;295:655–66.[Abstract/Free Full Text]
  29. Rapola JM, Virtamo J, Ripatti S, et al. Randomised trial of alpha-tocopherol and beta-carotene supplements on incidence of major coronary events in men with previous myocardial infarction. Lancet 1997;349:1715–20.[Medline]
  30. Hennekens CH, Buring JE, Manson JE, et al. Lack of effect of long-term supplementation with beta carotene on the incidence of malignant neoplasms and cardiovascular disease. N Engl J Med 1996;334:1145–9.[Abstract/Free Full Text]
  31. Levine M, Rumsey SC, Daruwala R, Park JB, Wang Y. Criteria and recommendations for vitamin C intake. JAMA 1999;281:1415–23.[Abstract/Free Full Text]
  32. Lawlor DA, Davey-Smith G, Kundu D, Bruckdorfer KR, Ebrahim S. Those confounded vitamins: what can we learn from the differences between observational versus randomised trial evidence? Lancet 2004;363:1724–7.[Medline]
  33. Khaw KT, Day N, Bingham S, Wareham N. Observational versus randomised trial evidence. Lancet 2004;364:753–4.[Medline]
  34. Bevan S, Porteous L, Sitzer M, Markus HS. Phosphodiesterase 4D gene, ischaemic stroke and asymptomatic carotid atherosclerosis. Stroke 2005;36:949–53.[Abstract/Free Full Text]
  35. Casiglia E, Palatini P. Cardiovascular risk factors in the elderly. J Hum Hypertens 1998;12:575–81.[Medline]
  36. Beckett N, Nunes M, Bulpitt C. Is it advantageous to lower cholesterol in the elderly hypertensive? Cardiovasc Drugs Ther 2000;14:397–405.[Medline]
Received for publication March 28, 2007. Accepted for publication July 10, 2007.


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