PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of jnutrPublished VersionSearchSubmit ManuscriptSubscribeAll Articles
 
J Nutr. Sep 2013; 143(9): 1474–1480.
Published online Jul 31, 2013. doi:  10.3945/jn.113.177212
PMCID: PMC3743276
Higher Dietary Flavonol Intake Is Associated with Lower Incidence of Type 2 Diabetes1,2
Paul F. Jacques,3,4* Aedin Cassidy,5 Gail Rogers,3 Julia J. Peterson,4 James B. Meigs,6,7 and Johanna T. Dwyer3,4
3Jean Mayer USDA Human Nutrition Research Center on Aging, and
4Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
5Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich, UK
6General Medicine Division, Massachusetts General Hospital, Boston, MA; and
7Department of Medicine, Harvard Medical School, Boston, MA
1Supported by grants from the North American Branch of the International Life Sciences Institute, the National Heart Lung and Blood Institute (contract N01-HC-25195), the National Institute of Diabetes, Digestive and Kidney Diseases (K24 DK080140), the Biotechnology and Biological Sciences Research Council, UK, and the USDA Agricultural Research Service (agreement 58-1950-0-014). This is a free access article, distributed under terms (http://www.nutrition.org/publications/guidelines-and-policies/license/) that permit unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
2 Author disclosures: P. F. Jacques, A. Cassidy, G. Rogers, J. J. Peterson, J. B. Meigs, and J. T. Dwyer, no conflicts of interest.
*To whom correspondence should be addressed. E-mail: paul.jacques/at/tufts.edu.
Received March 15, 2013; Revised April 11, 2013; Accepted July 3, 2013.
Substantial experimental evidence suggests that several flavonoid classes are involved in glucose metabolism, but few clinical or epidemiologic studies exist that provide supporting human evidence for this relationship. The objective of this study was to determine if habitual intakes of specific flavonoid classes are related to incidence of type 2 diabetes (T2D). We followed 2915 members of the Framingham Offspring cohort who were free of T2D at baseline from 1991 to 2008. Diabetes was defined by either elevated fasting glucose (≥7.0 mmol/L) or initiation of hypoglycemic medication during follow-up. Dietary intakes of 6 flavonoid classes and total flavonoids were assessed using a validated, semiquantitative food frequency questionnaire. We observed 308 incident cases of T2D during a mean follow-up period of 11.9 y (range 2.5–16.8 y). After multivariable adjusted, time-dependent analyses, which accounted for long-term flavonoid intake during follow-up, each 2.5-fold increase in flavonol intake was associated with a 26% lower incidence of T2D [HR = 0.74 (95% CI: 0.61, 0.90); P-trend = 0.003] and each 2.5-fold increase in flavan-3-ol intake was marginally associated with an 11% lower incidence of T2D [HR = 0.89 (95% CI: 0.80, 1.00); P-trend = 0.06]. No other associations between flavonoid classes and risk of T2D were observed. Our observations support previous experimental evidence of a possible beneficial relationship between increased flavonol intake and risk of T2D.
Type 2 diabetes (T2D) is a largely preventable condition with serious health consequences, including a greater risk of heart disease, stroke, peripheral neuropathy, renal disease, and vision loss (1). Over the past 2 decades, the prevalence of T2D has increased dramatically worldwide due largely to an increase in obesity (27). Global estimates predict a continued growth in worldwide diabetes prevalence for the foreseeable future (8).
It is well established that diet, even independent of body weight, can influence the risk of T2D (911). Vegetables and fruits are notable components of diets associated with lower risk of T2D (914). Plant foods are not only good sources for nutrients associated with lower T2D risk, such as fiber (15), potassium (16), and magnesium (17), but they also provide a large array of other bioactive compounds, such as the polyphenols (18). These constitute the largest class of dietary phytochemicals, with intakes of >1 g/d reported (19, 20).
There is growing evidence based on in vitro and animal research that polyphenols in general, and in particular the flavonoids, a class of polyphenols, can improve glucose homeostasis and enhance insulin secretion and sensitivity (2125). Although there are relatively few clinical studies that examined the effect of flavonoid interventions in humans on glucose homeostasis and insulin resistance, a recent systematic review of cocoa trials showed that cocoa/chocolate interventions improved insulin resistance (HOMA-IR) due a significant reduction in insulin concentrations (26). To date, the limited epidemiologic studies relating flavonoid intake to T2D risk have been inconsistent (2730). The lack of consistent findings may in part be based on the use of incomplete flavonoid databases in earlier epidemiologic studies (31) and the possibility that each flavonoid classes may exert specific biological effects, resulting in distinct impacts on health for the different classes (31, 32).
The purpose of the present study was to examine in a well-characterized, clinically examined population the hypothesis that higher intakes of 3 flavonoid classes, specifically the flavonols, flavan-3-ols, and anthocyanins, are associated with a lower incidence of T2D whereas other flavonoid classes are not.
Study design and population
The study participants were members of the Framingham Heart Study Offspring cohort. The original Framingham Heart Study began in 1948 with 5209 adults aged 28–62 y residing in Framingham, a town west of Boston, Massachusetts (33) and has continued for more than 60 y, with the survivors returning every 2 y for a physical examination and to complete a series of questionnaires and laboratory and cardiovascular tests. By 1971, the original cohort included 1644 husband-wife pairs and 378 individuals who had developed cardiovascular disease (CVD). The offspring of these individuals and the offspring’s spouses were invited to form the Offspring cohort, and 5135 of the 6838 eligible individuals participated in the first Framingham Offspring Study examination (34). The Offspring cohort undergoes repeat examination approximately every 3–4 y. For the present study, we used data derived from the 5th, 6th, 7th, and 8th study examinations, which spanned 17 y (1991–2008). The 5th examination served as the baseline for these analyses.
This study was conducted according to the guidelines laid down in the Declaration of Helsinki. All procedures involving human participants were approved by the Boston University Medical Center Institutional Review Board and the present ancillary study was approved by the Tufts Medical Center Institutional Review Board.
Measurements
Assessment of flavonoid intakes.
Dietary intakes were assessed using the Harvard semiquantitative FFQ (35) at the 5th, 6th, and 7th examinations. The FFQ consists of a list of foods with a standard serving size and a selection of 9 frequency categories ranging from never or <1 serving/mo to ≥6 servings/d. Participants were asked to report their frequency of consumption of each food item during the past year. Dietary information was judged as unreliable and excluded from further study if reported energy intakes were <600 kcal/d or >4000 kcal/d for women and >4200 kcal/d for men or if >12 food items were left blank.
The flavonoid database used for the FFQ was previously described (36) and was primarily derived from the USDA flavonoid content of foods and the proanthocyanidin databases (37, 38). The same flavonoid database was used for all study examinations. We used the flavonoid classification of Cassidy et al. (36) (Table 1) to define 6 flavonoid classes. Total flavonoids were defined as the sum of all 6 classes. We did not evaluate isoflavone intakes, because habitual intakes are very low in the U.S. diet (3942).
TABLE 1
TABLE 1
Classification of flavonoids
The validity of flavonoid intake from the Harvard FFQ has not been directly assessed, but the validity for the food intake based on a comparison of the FFQ and two 7-d diet records collected during the year time interval covered by the FFQ was previously published (43). This validation demonstrated relatively high correlation coefficients between intakes from the FFQ and diet records for the major dietary sources of flavonoids in the Framingham Offspring cohort, including apples/pears (0.70), bananas (0.95), oranges (0.76), orange juice (0.78), strawberries (0.38), muffins (0.66), tea (0.77), and red wine (0.83). The correlation for blueberries was not presented.
Assessment of incident diabetes.
Presence of diabetes was based on elevated fasting glucose concentrations and/or a medical and medication use history obtained by a physician at each study examination. We defined diabetes at the baseline examination as a fasting plasma glucose concentration ≥7.0 mmol/L, a 2-h oral glucose tolerance test glucose concentration ≥11.1 mmol/L, or current use of hypoglycemic drug therapy. For T2D incidence, participants were followed from baseline through the 8th study examination (2005–2008). We used the examination visit date on which a new case of diabetes was identified as the date of diagnosis. We defined diabetes at follow-up as development of a fasting plasma glucose concentration ≥7.0 mmol/L or new use of hypoglycemic drug therapy during the study interval. More than 99% of diabetes cases among Framingham Offspring cohort are T2D (44). Diabetes incidence was determined without knowledge of flavonoid intake or any other dietary information.
Assessment of covariates.
Covariates used in our analyses included age at the 5th study examination, BMI, waist circumference, physical activity, current smoking (y/n), prevalent CVD (y/n), and intakes of energy, dietary fiber, potassium, magnesium, meat and processed meat, and fruits and vegetables. The criteria for the diagnoses of cardiovascular events have been described elsewhere (45). BMI was calculated as body weight in kilograms divided by the square of height in meters using examiner-assessed weight and height. Waist circumference was measured to the nearest 0.25 inch (0.635 cm) at the level of the umbilicus. Physical activity level was assessed using a physical activity index based on time spent performing the activity in a typical day and the intensity of the activity (46). We considered not only fruit and vegetable intake but also some of the potentially bioactive compounds of fruit and vegetables, including dietary fiber, potassium, and magnesium, which are related to T2D incidence (1517) as potential confounders. We also adjusted for meat and processed meat, which have been suggested in some studies as increasing T2D risk (4750). Meat included chicken, turkey, hamburger, liver, and beef, pork, or lamb as a mixed or main dish. Processed meat included hot dogs, bacon, sausage, salami, and other processed meats.
Statistical methods
We used a time-dependent approach to the statistical analyses in which flavonoid intake data were updated at each exam as the mean of intakes from all previous exams. For example, events at the 6th examination were related to intake at the 5th examination, events at the 7th examination were related to the mean of the intakes from the 5th and 6th examinations, and events at the 8th examination were related to the mean of the intakes from the 5th, 6th, and 7th examinations. If participants were missing intake data at one of the follow-up examinations, the mean intake was based on the available intake data. Those who had data missing at baseline or 2 consecutive follow-up examinations prior to the development of T2D or the end of follow-up were excluded from analyses. The natural logarithms of the different flavonoid class intakes were used as the exposure variables. Our outcome was incident T2D. The time-dependent covariates (BMI, smoking, and prevalent CVD) were updated at each examination and all dietary covariates, like the flavonoid intakes, were updated as a cumulative mean.
HRs derived from Cox proportional hazards regression models (SAS PROC PHREG) were used to characterize the prospective associations between flavonoid intakes and incidence of T2D. Because flavonoid intakes were transformed using a natural logarithm, the HRs represent the risk for a relative difference in flavonoid intake. We presented HRs for a 2.5-fold difference in flavonoid intake, which approximated the smallest relative difference between the 75th and 25th percentile values for intake of the individual flavonoid classes across study examinations (Table 2).
TABLE 2
TABLE 2
Flavonoid intake for members of the Framingham Heart Study Offspring cohort at 5th through 7th examinations1
We considered 3 different models based on inclusion of covariates, each adding covariates to the prior model: 1) an age- and sex-adjusted model (model 1); 2) model 1 with additional adjustment for BMI and energy intake, prevalence of CVD, current smoking (model 2); and 3) model 2 with additional adjustment for fruit and vegetable intake (model 3). Secondary analyses included mutual adjustment of the intakes from the different flavonoid classes. Additional secondary analyses included adjustment for dietary factors previously demonstrated to be associated with T2D risk and potentially correlated with flavonoid intake, including potassium, magnesium, fiber, and meat and processed meat, and waist circumference and physical activity.
To examine the relation between the top food sources of the flavonoids and T2D risk, we identified all foods that contributed at least 10% of the intake of each flavonoid classes for one or more of the study examinations and related servings of these foods to T2D incidence. We classified food intake into 4 categories (<1 serving/wk, 1–4 servings/wk, 5–6 servings/wk, and ≥7 servings/wk) and applied the same time-dependent analysis approach using Cox proportional hazards regression that was described above for the flavonoids. A test for trend across food serving categories was based on assigning the median servings in each category to individuals in that category and treating that resulting variable as a continuous variable in the regression models.
All analyses were performed using SAS version 9.2 (SAS Institute). P < 0.05 was considered significant.
Of the 3799 Offspring cohort members who attended the 5th examination, baseline for the present analysis, 346 individuals who had diabetes were excluded. In addition, participants who were missing data on diet (n = 333) or age, BMI, or smoking status (n = 16) at the 5th study examination and participants who were missing dietary data at baseline or 2 consecutive follow-up examinations prior to diagnosis of T2D or the end of follow-up (n = 189) were excluded. The time-dependent analysis using cumulative mean flavonoid intake was based on 2915 participants with 308 events during a mean follow-up period of 11.9 y (range 2.5–16.8 y).
Table 2 displays the median and 25th and 75th percentile values for intake of the different flavonoid classes (mg/d). Total flavonoid intakes increased modestly over time, driven largely by increased intakes of anthocyanins and polymeric flavonoids. There was a wide range of intakes for all flavonoid classes. This can be seen using the ratio of the 75th and 25th percentile values for the different flavonoid classes. This ratio ranged from 2.3-fold for flavonol intake at the 7th examination to 5.8-fold for flavanone intake at the 5th examination. These data indicate that the flavonoid intakes for the quarter of the population with the highest intakes exceeded the intake of those in the lowest quarter of the population by at least 2.3-fold for all flavonoid classes.
The mean age at baseline was 54 y old and participants were on average overweight (Table 3). Men constituted 46% of the sample, 19% of the sample were current smokers, and ~7% had existing CVD. There were strong associations between many of participants’ characteristics and lifestyle behaviors and total flavonoid intakes. Men were much less likely to consume higher amounts of total flavonoid than were women (P-trend < 0.001). There was a modest increase in intakes with age (P-trend = 0.05) and a decrease in intakes with increasing BMI (P-trend < 0.001). Participants who were smokers and who had CVD were less likely to have higher flavonoid intakes (P-trend < 0.001 and 0.005, respectively). Energy, fruit, vegetable, fiber, potassium, and magnesium intakes were positively associated with flavonoid intakes (P-trend < 0.001), whereas meat and processed meat intakes were inversely associated with flavonoid intakes (P-trend = 0.004 and < 0.001, respectively). Age- and sex-adjusted total flavonoid intake, based on only baseline values, was inversely associated with cumulative incidence of T2D (P-trend = 0.08).
TABLE 3
TABLE 3
Participant characteristics of members of the Framingham Heart Study Offspring cohort across quartile categories of total flavonoid intake at baseline (5th examination)1
In multivariable-adjusted analyses, we observed a significant inverse association between flavonol intakes and T2D incidence (Table 4). These time-dependent analyses, which accounted for long-term flavonoid intake during the follow-up period, demonstrated that a 2.5-fold higher intake of flavonols was association with a 26% lower incidence of T2D [HR = 0.74 (95% CI: 0.61, 0.90); P-trend = 0.003]. We also observed a marginally significant inverse association between flavan-3-ol intake and T2D risk after multivariable adjustment [HR = 0.89 (95% CI: 0.80, 1.00); P-trend = 0.06). No other associations between intakes of other flavonoid classes or total flavonoids and risk of T2D were observed after multivariable adjustment. Further adjustment for fruit and vegetable intakes resulted in a slightly stronger association between flavonols and T2D incidence [HR = 0.68 (95% CI: 0.54, 0.86); P-trend = 0.001] but did not materially alter any of the relationships between other flavonoids and T2D risk.
TABLE 4
TABLE 4
Relation between cumulative mean flavonoid intake and diabetes incidence in members of the Framingham Heart Study Offspring cohort: time-dependent analyses1
In secondary analyses, we adjusted the flavonol intakes for intakes of all the other flavonoid classes and total flavonoids. The relation between flavonol intake and T2D incidence was unchanged by this adjustment, but the associations with flavan-3-ols, polymeric flavonoids, and total flavonoids were all attenuated after they were adjusted for flavonol intake. We also adjusted for dietary fiber, potassium, magnesium, meat and processed meat intakes, which had no effect on the association between flavonol intake and T2D risk. Similarly, further adjustment for dietary fiber and potassium did not affect the observed association between flavan-3-ol intake and T2D, but adjustment for meat and processed meat [HR = 0.91 (95% CI: 0.81, 1.02); P-trend = 0.11] and magnesium [HR = 0.92 (95% CI: 0.82, 1.03); P-trend = 0.15] intakes did attenuate this association. Finally, additional adjustment for waist circumference and physical activity did not materially affect our findings.
We identified the foods that were the top contributors to each of the flavonoid classes (Table 5). Based on the observed associations between flavonols and flavan-3-ols, we examined the associations between the foods that were the major contributors of these flavonoid classes and T2D incidence. Tea and apples/pears, the only foods contributing ≥10% of the total flavonol intake, together contributed ~30% of the flavonol intake. Tea, apples/pears, and bananas, the 3 foods that contributed ≥10% of the total flavan-3-ol intake, combined accounted for just more than 50% of flavan-3-ol intake in this population. None of these foods was individually associated with T2D risk (Table 6).
TABLE 5
TABLE 5
Mean contributions of flavonoids from foods providing at least 10% of the total intake for each flavonoid class at one or more examination cycles for members of the Framingham Heart Study Offspring cohort
TABLE 6
TABLE 6
Relation between cumulative mean food intake and diabetes incidence in members of the Framingham Heart Study Offspring cohort: time-dependent analyses
In our study of a well-characterized population based on clinical examinations, we observed that higher flavonol intakes were associated with a 26% lower incidence of T2D. We also observed a marginally significant inverse association between flavan-3-ol intakes and risk of T2D, but there was no association with anthocyanin intake. None of the individual foods that were major contributors of the flavonols and flavan-3-ols were individually associated with T2D incidence. This latter observation suggests that the observed associations between the flavonols and flavan-3-ols were not a consequence of confounding by higher consumption foods that happen to be high in these flavonoids.
Results from 2 previous observational studies also suggested an inverse association between habitual flavonol intake and T2D risk. Wedick et al. (29) observed a significant inverse association between flavonol intake and T2D incidence in the Nurses’ Health Study cohort (16% reduction in risk) and the Health Professionals Follow-up Study cohort (12% reduction in risk), but not in a cohort of younger women (Nurses’ Health Study II) or in a pooled analyses of their 3 cohorts. Knekt et al. (27) showed a marginally significant inverse association between intakes of the flavonols quercetin and myricetin, but not kaempferol, and incidence of T2D in Finnish men and women. Earlier epidemiological studies by Nettleton et al. (28) and Song et al. (30) reported no associations between any flavonoid class and T2D risk in U.S. women, but these studies were performed before a more complete version of the flavonoid database was available. Our observation that flavonol intake was associated with a lower risk of T2D is supported by animal studies, which showed that the flavonol quercetin decreased plasma glucose concentrations, improved insulin concentrations, preserved the integrity of pancreatic B-cells, alleviated diabetic symptoms, and reduced hepatic gene expression in streptozotocin-induced diabetic models (21, 5153).
There is limited epidemiologic evidence supporting a relationship between flavan-3-ol intake and T2D risk. Wedick et al. (29) observed an inverse association between flavan-3-ol intake and T2D risk in older women (Nurses’ Health Study) but not in their other 2 cohorts. Two early publications that did not have access to the more complete version of the flavonoid database reported no associations between habitual flavan-3-ol intakes and risk of T2D (28, 30). Our observation that flavan-3-ol intake was associated with a lower risk of T2D is supported by consistent findings for both acute and chronic effects observed in dietary intervention trials of flavan-3-ol–rich products. To date, these trials have mainly focused on cocoa/chocolate and cardiovascular health biomarkers. In a systematic review of 42 acute and short-term chronic trials (duration ≤18 wk), insulin resistance as assessed by HOMA-IR was improved by chocolate/cocoa as a result of a significant reduction in serum insulin concentrations (26). A combined flavan-3-ol and isoflavone 1-y intervention trial in medicated T2D postmenopausal women also demonstrated a significant improvement in insulin resistance and sensitivity (54). The available data also suggest that dose of the flavan-3-ol epicatechin may be important for cardiovascular risk, with doses >50 mg being more efficacious; however, too few studies were available to assess the effect of dose on HOMA-IR and insulin (26). The mean intake in our study increased from 21.8 to 23.4 mg/d across follow-up, with ~25% or more of the study population achieving intakes of 50 mg/d.
In our study, we did not confirm the protective association for anthocyanin intake observed by Wedick et al. (29). This was surprising given the growing mechanistic data showing that anthocyanins and their degradation products/metabolites enhance insulin sensitivity and secretion, protect β-cell function, and improve glucose homeostasis (23, 55, 56). We considered the possibility that apparent differences in dietary sources and amounts of anthocyanins might explain the discrepancy between our findings and those of Wedick et al., but our analyses did not support either explanation.
The major strengths of our study were the large sample size, availability of meticulous clinical examinations, the use of multiple dietary assessment measures of flavonoid intake so that we could assess cumulative intakes, and the availability of a more complete flavonoid database to more accurately characterize the intake of the range of flavonoid classes present in the habitual diet. In addition to these strengths, there are some potential limitations. The importance of vegetables and fruits as sources of many flavonoid classes confound our ability to separate the independent contributions of overall vegetable and fruit intake and intakes of the flavonoids. However, adjustment for some of the potentially bioactive components of the fruits and vegetables associated with T2D risk, including fiber (15), potassium (16), and magnesium (17), had no impact on the flavonol intake association, suggesting that this association was independent of these and perhaps other phytochemical components of vegetables and fruits. However, the relation between flavan-3-ols and T2D risk was slightly attenuated by this adjustment. Our findings are based on observational data and we cannot rule out the potential for residual bias related to lifestyle differences between individuals consuming higher or lower amounts of flavonoids. Finally, our findings were based on a cohort that was largely Caucasian of western European heritage, so generalizability to other race and ethnic groups may be limited.
In summary, the evidence relating flavonoid class intake to risk of T2D is promising although still very limited. To date, we are not aware of any human intervention studies relating flavonoid intake to T2D incidence, and there are few long-term clinical studies that have examined interventions with flavonoid-rich diets in humans with respect to intermediate risk factors for T2D such as glucose homeostasis and insulin resistance. Our knowledge of the effects of flavonoids on T2D risk would greatly benefit from additional human intervention studies and prospective observational studies examining relations with markers of T2D risk.
Acknowledgments
P.F.J. and J.T.D. conceived the project; P.F.J., A.C., J.J.P., G.R., and J.B.M. developed the overall research plan and advised on procedures; G.R. conducted the statistical analyses; P.F.J. and J.B.M. were responsible for collection of relevant data; P.F.J. and A.C. drafted the manuscript; P.F.J., A.C., G.R., J.J.P., J.B.M., and J.T.D. critically reviewed the manuscript for important intellectual content; and P.F.J. had primary responsibility for the final content. All authors read and approved the final manuscript.
1. CDC National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States, 2011. Atlanta: U.S. Department of Health and Human Services, CDC; 2011.
2. National Diabetes Surveillance System CDC, US Department of Health and Human Services; 2010;
3. May AL, Kuklina EV, Yoon PW. Prevalence of cardiovascular disease risk factors among US adolescents, 1999–2008. Pediatrics. 2012;129:1035–41. [PubMed]
4. Villalpando S, Shamah-Levy T, Rojas R, Aguilar-Salinas CA. Trends for type 2 diabetes and other cardiovascular risk factors in Mexico from 1993–2006. Salud Publica Mex. 2010;52 Suppl 1:S72–9. [PubMed]
5. Li R, Lu W, Jiang QW, Li YY, Zhao GM, Shi L, Yang QD, Ruan Y, Jiang J, Zhang SN, et al. Increasing prevalence of type 2 diabetes in Chinese adults in Shanghai. Diabetes Care. 2012;35:1028–30. [PMC free article] [PubMed]
6. Evans JM, Barnett KN, Ogston SA, Morris AD. Increasing prevalence of type 2 diabetes in a Scottish population: effect of increasing incidence or decreasing mortality? Diabetologia. 2007;50:729–32. [PubMed]
7. Söderberg S, Zimmet P, Tuomilehto J, de Courten M, Dowse GK, Chitson P, Gareeboo H, Alberti KG, Shaw JE. Increasing prevalence of Type 2 diabetes mellitus in all ethnic groups in Mauritius. Diabet Med. 2005;22:61–8. [PubMed]
8. Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87:4–14. [PubMed]
9. Esposito K, Kastorini CM, Panagiotakos DB, Giugliano D. Prevention of type 2 diabetes by dietary patterns: a systematic review of prospective studies and meta-analysis. Metab Syndr Relat Disord. 2010;8:471–6. [PubMed]
10. Salas-Salvadó J, Martinez-Gonzalez MA, Bullo M, Ros E. The role of diet in the prevention of type 2 diabetes. Nutr Metab Cardiovasc Dis. 2011;21 Suppl 2:B32–48. [PubMed]
11. Dämon S, Schatzer M, Hofler J, Tomasec G, Hoppichler F. Nutrition and diabetes mellitus: an overview of the current evidence. Wien Med Wochenschr. 2011;161:282–8. [PubMed]
12. Scalbert A, Manach C, Morand C, Remesy C, Jimenez L. Dietary polyphenols and the prevention of diseases. Crit Rev Food Sci Nutr. 2005;45:287–306. [PubMed]
13. McEvoy CT, Temple N, Woodside JV. Vegetarian diets, low-meat diets and health: a review. Public Health Nutr. 2012;15:2287–94. [PubMed]
14. Carter P, Gray LJ, Troughton J, Khunti K, Davies MJ. Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BMJ. 2010;341:c4229. [PMC free article] [PubMed]
15. Ye EQ, Chacko SA, Chou EL, Kugizaki M, Liu S. Greater whole-grain intake is associated with lower risk of type 2 diabetes, cardiovascular disease, and weight gain. J Nutr. 2012;142:1304–13. [PubMed]
16. Chatterjee R, Yeh HC, Edelman D, Brancati F. Potassium and risk of type 2 diabetes. Expert Rev Endocrinol Metab. 2011;6:665–72. [PMC free article] [PubMed]
17. Dong JY, Xun P, He K, Qin LQ. Magnesium intake and risk of type 2 diabetes: meta-analysis of prospective cohort studies. Diabetes Care. 2011;34:2116–22. [PMC free article] [PubMed]
18. Landete JM. Updated knowledge about polyphenols: functions, bioavailability, metabolism, and health. Crit Rev Food Sci Nutr. 2012;52:936–48. [PubMed]
19. Kesse-Guyot E, Fezeu L, Andreeva VA, Touvier M, Scalbert A, Hercberg S, Galan P. Total and specific polyphenol intakes in midlife are associated with cognitive function measured 13 years later. J Nutr. 2012;142:76–83. [PubMed]
20. Ovaskainen ML, Torronen R, Koponen JM, Sinkko H, Hellstrom J, Reinivuo H, Mattila P. Dietary intake and major food sources of polyphenols in Finnish adults. J Nutr. 2008;138:562–6. [PubMed]
21. Kobori M, Masumoto S, Akimoto Y, Takahashi Y. Dietary quercetin alleviates diabetic symptoms and reduces streptozotocin-induced disturbance of hepatic gene expression in mice. Mol Nutr Food Res. 2009;53:859–68. [PubMed]
22. Kwon O, Eck P, Chen S, Corpe CP, Lee JH, Kruhlak M, Levine M. Inhibition of the intestinal glucose transporter GLUT2 by flavonoids. FASEB J. 2007;21:366–77. [PubMed]
23. Takikawa M, Inoue S, Horio F, Tsuda T. Dietary anthocyanin-rich bilberry extract ameliorates hyperglycemia and insulin sensitivity via activation of AMP-activated protein kinase in diabetic mice. J Nutr. 2010;140:527–33. [PubMed]
24. Youl E, Bardy G, Magous R, Cros G, Sejalon F, Virsolvy A, Richard S, Quignard JF, Gross R, Petit P, et al. Quercetin potentiates insulin secretion and protects INS-1 pancreatic beta-cells against oxidative damage via the ERK1/2 pathway. Br J Pharmacol. 2010;161:799–814. [PubMed]
25. Hanhineva K, Torronen R, Bondia-Pons I, Pekkinen J, Kolehmainen M, Mykkanen H, Poutanen K. Impact of dietary polyphenols on carbohydrate metabolism. Int J Mol Sci. 2010;11:1365–402. [PMC free article] [PubMed]
26. Hooper L, Kay C, Abdelhamid A, Kroon PA, Cohn JS, Rimm EB, Cassidy A. Effects of chocolate, cocoa, and flavan-3-ols on cardiovascular health: a systematic review and meta-analysis of randomized trials. Am J Clin Nutr. 2012;95:740–51. [PubMed]
27. Knekt P, Kumpulainen J, Jarvinen R, Rissanen H, Heliovaara M, Reunanen A, Hakulinen T, Aromaa A. Flavonoid intake and risk of chronic diseases. Am J Clin Nutr. 2002;76:560–8. [PubMed]
28. Nettleton JA, Harnack LJ, Scrafford CG, Mink PJ, Barraj LM, Jacobs DR., Jr Dietary flavonoids and flavonoid-rich foods are not associated with risk of type 2 diabetes in postmenopausal women. J Nutr. 2006;136:3039–45. [PMC free article] [PubMed]
29. Wedick NM, Pan A, Cassidy A, Rimm EB, Sampson L, Rosner B, Willett W, Hu FB, Sun Q, van Dam RM. Dietary flavonoid intakes and risk of type 2 diabetes in US men and women. Am J Clin Nutr. 2012;95:925–33. [PubMed]
30. Song Y, Manson JE, Buring JE, Sesso HD, Liu S. Associations of dietary flavonoids with risk of type 2 diabetes, and markers of insulin resistance and systemic inflammation in women: a prospective study and cross-sectional analysis. J Am Coll Nutr. 2005;24:376–84. [PubMed]
31. Peterson JJ, Dwyer JT, Jacques PF, McCullough ML. Associations between flavonoids and cardiovascular disease incidence or mortality in European and US populations. Nutr Rev. 2012;70:491–508. [PubMed]
32. de Pascual-Teresa S, Moreno DA, Garcia-Viguera C. Flavanols and anthocyanins in cardiovascular health: a review of current evidence. Int J Mol Sci. 2010;11:1679–703. [PMC free article] [PubMed]
33. Dawber TR, Kannel WB. An epidemiologic study of heart disease: the Framingham study. Nutr Rev. 1958;16:1–4. [PubMed]
34. Feinleib M, Kannel WB, Garrison RJ, McNamara PM, Castelli WP. The Framingham Offspring Study. Design and preliminary data. Prev Med. 1975;4:518–25. [PubMed]
35. Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Litin LB, Willett WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol. 1992;135:1114–26. [PubMed]
36. Cassidy A, O'Reilly EJ, Kay C, Sampson L, Franz M, Forman JP, Curhan G, Rimm EB. Habitual intake of flavonoid subclasses and incident hypertension in adults. Am J Clin Nutr. 2011;93:338–47. [PubMed]
37. USDA Database for the flavonoid content of selected foods. Release 2.1. Washington, DC: USDA; 2007.
38. USDA Database for the proanthocyanidin content of selected food. Washington, DC: USDA; 2004.
39. Nechuta SJ, Caan BJ, Chen WY, Lu W, Chen Z, Kwan ML, Flatt SW, Zheng Y, Zheng W, Pierce JP, et al. Soy food intake after diagnosis of breast cancer and survival: an in-depth analysis of combined evidence from cohort studies of US and Chinese women. Am J Clin Nutr. 2012;96:123–32. [PubMed]
40. Chun OK, Chung SJ, Song WO. Urinary isoflavones and their metabolites validate the dietary isoflavone intakes in US adults. J Am Diet Assoc. 2009;109:245–54. [PubMed]
41. Greendale GA, FitzGerald G, Huang MH, Sternfeld B, Gold E, Seeman T, Sherman S, Sowers M. Dietary soy isoflavones and bone mineral density: results from the study of women's health across the nation. Am J Epidemiol. 2002;155:746–54. [PubMed]
42. de Kleijn MJ, van der Schouw YT, Wilson PW, Adlercreutz H, Mazur W, Grobbee DE, Jacques PF. Intake of dietary phytoestrogens is low in postmenopausal women in the United States: the Framingham Study. J Nutr. 2001;131:1826–32. [PubMed]
43. Feskanich D, Rimm EB, Giovannucci EL, Colditz GA, Stampfer MJ, Litin LB, Willett WC. Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire. J Am Diet Assoc. 1993;93:790–6. [PubMed]
44. Meigs JB, Mittleman MA, Nathan DM, Tofler GH, Singer DE, Murphy-Sheehy PM, Lipinska I, D'Agostino RB, Wilson PW. Hyperinsulinemia, hyperglycemia, and impaired hemostasis: the Framingham Offspring Study. JAMA. 2000;283:221–8. [PubMed]
45. Kannel WB, Wolf PA, Garrison RJ. 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; . 1987.
46. Kannel WB, Belanger A, D'Agostino R, Israel I. Physical activity and physical demand on the job and risk of cardiovascular disease and death: the Framingham Study. Am Heart J. 1986;112:820–5. [PubMed]
47. van Woudenbergh GJ, Kuijsten A, Tigcheler B, Sijbrands EJ, van Rooij FJ, Hofman A, Witteman JC, Feskens EJ. Meat consumption and its association with C-reactive protein and incident type 2 diabetes: the Rotterdam Study. Diabetes Care. 2012;35:1499–505. [PMC free article] [PubMed]
48. Fretts AM, Howard BV, McKnight B, Duncan GE, Beresford SA, Mete M, Eilat-Adar S, Zhang Y, Siscovick DS. Associations of processed meat and unprocessed red meat intake with incident diabetes: the Strong Heart Family Study. Am J Clin Nutr. 2012;95:752–8. [PubMed]
49. Lajous M, Tondeur L, Fagherazzi G, de Lauzon-Guillain B, Boutron-Ruaualt MC, Clavel-Chapelon F. Processed and unprocessed red meat consumption and incident type 2 diabetes among French women. Diabetes Care. 2012;35:128–30. [PMC free article] [PubMed]
50. Pan A, Sun Q, Bernstein AM, Schulze MB, Manson JE, Willett WC, Hu FB. Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. Am J Clin Nutr. 2011;94:1088–96. [PubMed]
51. Coskun O, Kanter M, Korkmaz A, Oter S. Quercetin, a flavonoid antioxidant, prevents and protects streptozotocin-induced oxidative stress and beta-cell damage in rat pancreas. Pharmacol Res. 2005;51:117–23. [PubMed]
52. Mahesh T, Menon VP. Quercetin allievates oxidative stress in streptozotocin-induced diabetic rats. Phytother Res. 2004;18:123–7. [PubMed]
53. Vessal M, Hemmati M, Vasei M. Antidiabetic effects of quercetin in streptozocin-induced diabetic rats. Comp Biochem Physiol C Toxicol Pharmacol. 2003;135C:357–64. [PubMed]
54. Curtis PJ, Sampson M, Potter J, Dhatariya K, Kroon PA, Cassidy A. Chronic ingestion of flavan-3-ols and isoflavones improves insulin sensitivity and lipoprotein status and attenuates estimated 10-year CVD risk in medicated postmenopausal women with type 2 diabetes: a 1-year, double-blind, randomized, controlled trial. Diabetes Care. 2012;35:226–32. [PMC free article] [PubMed]
55. Sasaki R, Nishimura N, Hoshino H, Isa Y, Kadowaki M, Ichi T, Tanaka A, Nishiumi S, Fukuda I, Ashida H, et al. Cyanidin 3-glucoside ameliorates hyperglycemia and insulin sensitivity due to downregulation of retinol binding protein 4 expression in diabetic mice. Biochem Pharmacol. 2007;74:1619–27. [PubMed]
56. Tsuda T, Horio F, Uchida K, Aoki H, Osawa T. Dietary cyanidin 3-O-beta-D-glucoside-rich purple corn color prevents obesity and ameliorates hyperglycemia in mice. J Nutr. 2003;133:2125–30. [PubMed]
Articles from The Journal of Nutrition are provided here courtesy of
American Society for Nutrition