Abstract
Background
Flavonoids are a group of phenolic secondary plant metabolites that are ubiquitous in plant-based diets. Data from anthropological, observational and intervention studies have shown that many flavonoids are bioactive. For this reason, there is an increasing interest in investigating the potential health effects of these compounds. The translation of these findings into the context of the health of the general public requires detailed information on habitual dietary intake. However, only limited data are currently available for European populations.
Objective
The objective of this study is to determine the habitual intake and main sources of anthocyanidins, flavanols, flavanones, flavones, flavonols, proanthocyanidins, theaflavins and thearubigins in the European Union.
Design
We use food consumption data from the European Food Safety Authority (EFSA) and the FLAVIOLA Food Composition Database to estimate intake of flavonoids.
Results
Mean (±SEM) intake of total flavonoids in Europe was 428±49 mg/d, of which 136±14 mg/d were monomeric compounds. Gallated flavan-3-ols (53±12 mg/d) were the main contributor. The lowest flavonoid intake was observed in Mediterranean countries (monomeric compounds: 95±11 mg/d). The distribution of intake was skewed in many countries, especially in Germany (monomeric flavonoids; mean intake: 181 mg/d; median intake: 3 mg/d).
Conclusions
The habitual intake of flavonoids in Europe is below the amounts found to have a significant health effect.
Introduction
Flavonoids are a group of secondary plant metabolites, derived from 2-phenylchroman, which are ubiquitous in seed plants (spermatophytes) and therefore found in most plant-based foods [1]. They exist both in monomeric (e.g. flavanols or anthocyanidins), and in polymeric form (e.g. proanthocyanidins, theaflavins and thearubigins). Flavonoids have a wide range of biological function in plants [2], such as the protection from UV radiation and as signalling molecules for interaction with microbes [3]. Flavonoid-containing plants have also a long history of medicinal use: for example the catechin-monomer rich extract of Acacia, catechu, has been described as astringent in European pharmacopoeias since almost 400 years [4], and has also been recommended to treat heart diseases [5]. In the 20th century, flavonoids were briefly considered to be a vitamin affecting capillary permeability [6], although it emerged quickly that these compounds are not an essential dietary factor [7]. However, based on these observations, flavonoid-containing drugs have been used extensively not only to treat disorders of the peripheral circulation, but also to treat radiation poisoning, intoxications and liver diseases [8].
In recent decades, there has been increasing interest in the potential beneficial effect of habitual flavonoid consumption on human health. Data from anthropological research [9] and observational studies [10, 11] suggested that they can reduce the risk of cardio-vascular diseases (CVD) although results from more recent studies have been less clear [12–15]. Due to their ability to scavenge free radicals in vitro they have often been described as antioxidants although it has been shown that this is an unlikely explanation for their activity in vivo [16]. A recent meta-analysis of observational epidemiological studies suggested an overall beneficial effect of flavonoid intake [17], however, the data available are more ambiguous. McCullough et al. find the main beneficial effect emerge when comparing very low intake with low intake [13] and this can be observed in other studies [12, 14]. While this could be explained by a threshold effect, there are also alternative explanations such as differences in dietary composition [15] or other unknown confounding factors. It is therefore not possible to attribute the observed effect to flavonoid intake alone. There are also no consistent associations between flavonoid intake and cancer risk. A recent meta-analysis showed no beneficial association between flavonoid intake and breast cancer risk [18] or gastric cancers [19], while there was a beneficial effect with smoking-related lung cancer [20] although only in some populations [21]. As with cardiovascular diseases, the main beneficial effect is often found when comparing very low with low intakes [22]. This is in marked contrast to results from a recent study investigating associations between flavonoid intake and the risk of type 2 diabetes in the EPIC cohort [23]: in this study, higher intake is associated with lower risk at least for some compounds, and the analyses show statistically significant trends.
While considerable attention has been focused on the beneficial health effects of flavonoids, excessive intake can also result in significant adverse effects [24], however there is a paucity of data on safety. Adverse affects range from mild gastro-intestinal symptoms to severe conditions such as haemolytic anaemia. Although flavonoids have been used as hepatoprotective drugs, flavonoids—and in particular gallated compounds found in green tea [25]—have been associated with increased risk of hepatotoxicity [24]. Flavonoid consumption has also been linked to haemolytic anaemia, and while this is best documented for (+)-catechin containing drugs [8], it is documented for other flavonoids as well [26, 27]. Flavonoids can also interact with cell proliferation by inhibiting topoisomerase 2 [28] and this can have both, a pro- and an anti-carcinogenic effect; some epidemiological data suggest an increased risk of leukaemia in neonates following high intake of bioflavonoids by mothers [29, 30]. Furthermore, the extensive hepatic metabolism of flavonoids can result in extensive flavonoid-drug interactions, especially as flavonoids can induce and inhibit cytochrome P450 enzymes [31].
There is an increased interest in exploring the benefits of establishing dietary recommendation for bioactives such as flavonoids [32], but there are still insufficient data on efficacy and safety for most compounds. Although dietary intervention studies have been conducted to investigate the beneficial effect of flavonoids on health, most notably with flavan-3-ols [33], the lack of standardised protocols and well defined intervention vehicles makes it often difficult to interpret the results.
The development of dietary recommendations and also the interpretation of results from intervention studies, requires reliable information on habitual flavonoid intake in the general public. This information is also important to assess the potential health impact of these compounds. However, there is a paucity of data available. While the flavonoid consumption data of the European Prospective Investigation into Cancer (EPIC) provides detailed information on flavonoid intake in this cohort [34], the data are not representative of the European public because of selection bias. Previously, we have used a novel food composition database, in combination with food consumption data from the European Food Safety Authority (EFSA), to determine flavan-3-ol intake in the European Union [35]. We have now used the same methods and data to investigate the habitual consumption of selected monomeric and polymeric flavonoids (see Fig 1 for a summary of the monomeric compounds included in this study) in the adult population of the European Union.
Subjects and Methods
We have used the methods described previously [35] to determine mean and median intake of flavonoids, using the 2011 EFSA Comprehensive European Food Consumption Database. This database contains food consumption data for adults aged 18–64 years from 21 surveys (~30,000 individuals) and 14 countries [36]. Information concerning the methodologies used in each survey is presented in Table 1. Food consumption statistics are reported in g/day and for habitual consumption. For each country, consumption data are given according to the 1st (20 categories) and 2nd (140 categories) level of the FoodEx system and for the total population [37]. The hierarchical food classification system ‘FoodEx’, developed by EFSA, was used to codify all food items. Food intake by non-consumers is reported as 0.
Table 1. Dietary surveys for adults included in the EFSA Comprehensive European Food Consumption Database.
Country | Name of the dietary survey | Survey period | No of subjects | Method | Replicates |
---|---|---|---|---|---|
Belgium | Diet National 2004 | 2004–5 | 1,304 | 24h recall | 2 |
Czech Republic | SISP04 | 2003–04 | 1,666 | 24h recall | 2 |
Denmark | Danish Dietary Survey | 2000–02 | 2,822 | Food record | 7 |
Finland | FINDIET 2007 | 2007 | 1,575 | 48h recall | 1 |
France | INCA2 | 2005–07 | 2,278 | Food record | 7 |
Germany | National Nutrition Survey II | 2005–07 | 10,419 | 24h recall | 2 |
Hungary | National Repr Surv | 2003 | 1,074 | Food record | 3 |
Ireland | NSIFCS | 1997–99 | 958 | Food record | 7 |
Italy | INRAN-SCAI 2005–06 | 2005–06 | 2,313 | Food record | 3 |
Latvia | EFSA_TEST | 2008 | 1,306 | 24h recall | 2 |
Netherlands | DNFCS-2003 | 2003 | 750 | 24h recall | 2 |
Spain | AESAN | 1999–01 | 410 | Food record | 3 |
AESAN-FIAB | 2009 | 981 | 24h recall | 2 | |
Sweden | RIKSMATEN 1997–98 | 1997–98 | 1,210 | Food record | 7 |
UK | NDNS | 2000–01 | 1,724 | Food record | 7 |
See http://www.efsa.europa.eu/en/datexfoodcdb/datexfooddb.htm2011 for details.
In order to estimate the flavonoid intake in Europe, we expanded the FLAVIOLA Flavanol Food Composition database which contains food composition data for approximately 3,000 food items as described previously [35]. This database is based on the US Department of Agriculture database for the Flavonoid Content of Selected Foods [38], and the proanthocyanidins (PA) Content of Selected Foods [39], expanded with values from Phenol-Explorer, a comprehensive database on the polyphenol content of foods [40]. These databases are the most up-to-date databases on flavonoids and polyphenols, and include information for 500, 205, and 456 food items for flavonoids [38], PA [39] and polyphenols [40], respectively. We expanded and completed the FLAVIOLA Flavanol Food Composition database using food data underlying DINER (Data Into Nutrients for Epidemiological Research), a data-entry system for food records created for EPIC (European Prospective Investigation into Cancer and Nutrition)-Norfolk [41]. This database was used for the calculation of the estimated flavonoid content of ~2,500 food items (82% of the 3000 total foods), using approximately 800 recipes. Retention and cooking factors for approximately 500 food items were used to estimate the effect of processing (e.g. frying, boiling, roasting, etc.) [42–44]. When information on the ingredients of commercial food products was provided by manufacturers, their flavonoid content was also calculated; where no information was available, products were matched to similar ones if possible. Food items thought not to contain significant levels of flavanols (fish, meat and eggs) were treated as logical zeros and omitted from the database. Dietary intake was estimated for the following major flavonoid subgroups (see also Fig 1 and Table 2): flavan-3-ol monomers ((–)-epicatechin, (–)-epicatechin-3-gallate, (–)-epigallocatechin. (–)-epigallocatechin-3-gallate, (+)-catechin, (+)-gallocatechin, (+)-catechin-3-gallate, (+)-gallocatechin-3-gallate), theaflavins (theaflavin, thearubigins, theaflavin-3,3'-digallate, theaflavin-3'-gallate, theaflavin-3-gallate), proanthocyanidins [PA] (dimers, trimers, 4-6mers, 7-10mers, >10mers), anthocyanidins (cyanidin, delphinidin, malvidin, pelargonidin, peonidin, petunidin), flavones (apigenin, luteolin), flavonols (isorhamnetin, quercetin, myricetin, kaempferol) and flavanones (hesperetin, naringenin, eriodictyol). Isoflavonoids, a subgroup of flavonoids with oestrogenic activity [45], are not included in this study.
Table 2. Names and synonyms of monomeric flavonoids used.
Compound | Synonyms |
---|---|
Flavan-3-ols | |
(–)-epicatechin | L-epicatechin, (–)-epicatechol, L-acacatechin |
(–)-epigallocatechin | gallocatechol, epigallocatechol, |
(–)-epicatechin-3-gallate | |
(–)-epigallocatechin-3-gallate | EGCG |
(+)-catechin | catechinic acid, catechuic acid, catergen, (+)-cianidanol, (+)-cyanidanol, (+)-cyanidanol-3 |
(+)-gallocatechin | gallocatechol |
(+)-catechin-3-gallate | |
(+)-gallocatechin-3-gallate | gallocatechol-gallate |
Anthocyanidins | |
Cyanidin | cyanidol, gastrotelos |
Delphinidin | delphinidol, ephdine |
Malvidin | |
Pelargonidin | pelargonidol |
Peonidin | |
Petunidin | petunidol |
Flavones | |
Apigenin | spigenin, versulin, apigenol |
Luteolin | luteolol, flacitran, digitoflavone |
Flavonols | |
Isorhamnetin | isorhamnetol, 3'-methyl-quercetin |
Quercetin | sophoretin, meletin, xanthaurine, quercetol, quercetin, quertine, flavin meletin |
Myricetin | cannabiscetin, myricetol |
Kaempferol | kaempferol, populnetin, rhamnolutein, robigenin, trifolitin, pelargidenolon, rhamnolutin, swartziol |
Flavanones | |
Hesperetin | hesperitin, hesperin, 4'-methyl-cyanidanon |
Naringenin | |
Eriodictyol |
We present estimated mean and median values of flavonoid intake in mg/d. Further tables are based on mean intake values to allow for comparison with other studies. The European countries represented in the EFSA comprehensive database were grouped in regions to allow for observations in each distinctive area (South: Italy, Spain, France; Central: Belgium, Czech Republic, Germany, Hungary, Ireland, Latvia, Netherlands, UK; North: Denmark, Finland, Sweden). Unless indicated otherwise, all data are given as the mean daily intake of the respective flavonoid.
Availability of data
The flavonoid consumption data used in this study is available as S1 File: Flavonoid intake in adults in the European Union by country and individual food.
Data processing and data analysis
The data available do not allow any statistical analyses, for example a comparison between different countries. Means shown are not weighted. Data analyses were conducted with R 3.1 [46].
Results
Overall intake
Data on flavonoid intake in adults was available for fourteen European countries, based on surveys of more than 30,000 participants (Table 1). All studies were conducted between 1999 and 2005. Table 3 and Fig 2 show a summary of the mean and median intake of flavonoids and flavonoid sub-groups. Mean intake of total flavonoids, including oligomeric compounds, was 428 mg/d with the highest intake in the Central Region (506 mg/d), followed by the Northern Region (348 mg/d) and the Southern Region (301 mg/d). The main types of flavonoids consumed were thearubigins and theaflavins (168 mg/d), mainly from tea, and oligo- and polymeric proanthocyanidins (124 mg/d), mainly from fruits and vegetable.
Table 3. Mean and median flavonoid intake (mg/d) of adults (18 to 64 years) in the European Union by country and region (mean ± SEM).
(Epi)catechin | Gallated compounds 1 | Anthocyanidins 2 | Flavonols 3 | Flavanones 4 | Flavones 5 | Flavonoids (monomeric compounds only) 6 | Proanthocyanidins 7 | Theaflavins and Thearubigins 8 | Flavonoids (including polymers) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | |
Denmark | 25 | 8 | 43 | 2 | 25 | 9 | 19 | 6 | 13 | 3 | 3 | 1 | 128 | 28 | 116 | 39 | 135 | 0 | 379 | 67 |
Finland | 22 | 2 | 34 | 1 | 28 | 2 | 17 | 2 | 30 | 3 | 3 | 1 | 134 | 10 | 115 | 3 | 105 | 0 | 354 | 13 |
Sweden | 20 | 6 | 32 | 8 | 19 | 5 | 18 | 7 | 19 | 3 | 2 | 1 | 110 | 30 | 100 | 34 | 99 | 24 | 310 | 88 |
Northern Region | 22 ± 1 | 5 ± 2 | 36 ± 3 | 4 ± 2 | 24 ± 3 | 5 ± 2 | 18 ± 1 | 5 ± 1 | 21 ± 5 | 3 ± 0 | 3 ± 0 | 1 ± 0 | 124 ± 7 | 23 ± 6 | 111 ± 5 | 26 ± 11 | 113 ± 11 | 8 ± 8 | 348 ± 20 | 56 ± 22 |
Belgium | 20 | 1 | 25 | 0 | 19 | 0 | 19 | 1 | 12 | 0 | 3 | 0 | 97 | 3 | 109 | 4 | 75 | 0 | 281 | 8 |
Czech Republic | 17 | 4 | 14 | 11 | 14 | 1 | 16 | 5 | 10 | 0 | 4 | 2 | 75 | 24 | 107 | 21 | 43 | 33 | 225 | 78 |
Germany | 33 | 1 | 79 | 0 | 22 | 0 | 27 | 1 | 19 | 0 | 3 | 0 | 181 | 3 | 143 | 5 | 249 | 0 | 573 | 7 |
Hungary | 22 | 10 | 47 | 29 | 15 | 5 | 23 | 10 | 11 | 0 | 4 | 2 | 122 | 56 | 141 | 65 | 145 | 83 | 408 | 204 |
Ireland | 34 | 25 | 156 | 150 | 9 | 2 | 38 | 28 | 8 | 0 | 3 | 1 | 249 | 206 | 98 | 46 | 505 | 481 | 851 | 733 |
Latvia | 20 | 6 | 52 | 39 | 24 | 1 | 25 | 13 | 4 | 0 | 9 | 2 | 135 | 61 | 113 | 13 | 164 | 125 | 411 | 199 |
Netherlands | 31 | 11 | 108 | 68 | 11 | 0 | 31 | 11 | 18 | 1 | 2 | 0 | 201 | 92 | 96 | 20 | 347 | 222 | 643 | 334 |
United Kingdom | 30 | 15 | 110 | 85 | 16 | 2 | 28 | 17 | 9 | 0 | 2 | 1 | 195 | 119 | 109 | 37 | 352 | 271 | 655 | 427 |
Central Region | 26 ± 2 | 9 ± 3 | 74 ± 17 | 48 ± 18 | 16 ± 2 | 1 ± 1 | 26 ± 2 | 11 ± 3 | 11 ± 2 | 0 ± 0 | 4 ± 1 | 1 ± 0 | 157 ± 21 | 70 ± 24 | 114 ± 6 | 26 ± 8 | 235 ± 56 | 152 ± 59 | 506 ± 75 | 249 ± 87 |
France | 22 | 3 | 31 | 1 | 28 | 3 | 18 | 4 | 10 | 0 | 7 | 3 | 115 | 14 | 144 | 20 | 93 | 0 | 352 | 34 |
Italy | 17 | 4 | 12 | 1 | 17 | 4 | 20 | 7 | 20 | 1 | 10 | 6 | 96 | 22 | 161 | 35 | 34 | 0 | 291 | 57 |
Spain | 19 | 4 | 5 | 2 | 17 | 4 | 15 | 5 | 17 | 0 | 3 | 1 | 75 | 16 | 178 | 33 | 6 | 0 | 260 | 48 |
Southern Region | 19 ± 2 | 4 ± 0 | 16 ± 8 | 1 ± 0 | 20 ± 4 | 4 ± 0 | 18 ± 1 | 5 ± 1 | 15 ± 3 | 1 ± 0 | 7 ± 2 | 3 ± 1 | 95 ± 11 | 17 ± 2 | 161 ± 10 | 29 ± 5 | 44 ± 26 | 0 ± 0 | 301 ± 27 | 47 ± 7 |
Europe | 24 ± 2 | 7 ± 2 | 53 ± 12 | 28 ± 12 | 19 ± 2 | 3 ± 1 | 23 ± 2 | 8 ± 2 | 14 ± 2 | 1 ± 0 | 4 ± 1 | 1 ± 0 | 136 ± 14 | 49 ± 15 | 124 ± 7 | 27 ± 5 | 168 ± 39 | 89 ± 38 | 428 ± 49 | 164 ± 55 |
1) epigallocatechin, epicatechin-3-gallate, epigallocatechin-3-gallate, catechin-3-gallate, gallocatechin, gallocatehin-3-gallate;
2) cyanidin, delphinidin, malvidin, pelargonidin, peonidin, petunidin;
3) Isorhamnetin, quercetin, myricetin, kaempferol;
4) hesperetin, naringenin, eriodictyol;
5) apigenin, luteolin;
6) sum of (epi)catechin, gallated compounds, anthocyanidins, flavonols, flavanones and flavones;
7) degree of polymerization >2;
8) theaflavin, theaflavin-3-gallate, theaflavin-3'-gallate, theaflavin-3, 3'-digallate, thearubigins
The highest intake of monomeric flavonoids was also found in the Central Region (157 mg/d), followed by the Northern (124 mg/d) and Southern (95 mg/d) Region. The distribution of intake was skewed for all compounds with a considerably lower median intake for all flavonoid classes. The main type of monomeric compounds consumed were flavan-3-ols, of which 53 mg/d were gallated and 24 mg/d non-gallated compounds.
Regional variation
There were noticeable differences in flavonoid intake between different countries and European regions (Fig 3). This was in particular pronounced for theaflavins and thearubigins where mean intake in the Central Region (235 mg/d) was more than double than intake in the Northern region (113 mg/d) and five times higher than in the Southern Region (44 mg/d). Moreover, even in the Central Region we observed a wide range of intake, with low intakes in the Czech Republic (43 mg/d) and Belgium (75 mg/d) and high intake in Ireland (505 mg/d), the UK (352 mg/d) and the Netherlands (347 mg/d). Conversely, intake of proanthocyanidins was highest in the Southern Region (161 mg/d) and similar in the Central (114 mg/d) and Northern (111 mg/d) Region. For all other compound classes, intake was highest in the Central Region, except for flavones and anthocyanidins, for which the highest intake was observed in the Northern Region, in particular in Finland.
Flavonoid sources
Fig 2 shows a summary of the overall main contributors to total flavonoid intake and regional data are shown in Tables 4 and 5. Non-alcoholic beverages, in particular tea, are the main source of total and monomeric flavonoids in the European Union (mean: 66 mg/d) with noticeable difference between countries and regions. In the Northern and Central region, flavonoids from non-alcoholic beverages are the main contributors, but in the Southern region the main contributors are fruits and fruit products. Most other food sources contributed only little to overall intake.
Table 4. Sources of monomeric flavonoids (in mg/d of total flavonoids; mean ± SEM) of adults (18 to 64 years) in the European Union by country and region.
Total intake Grains and grain-based products | Vegetables and vegetable products (including fungi) | Starchy roots and tubers | Legumes, nuts and oilseeds | Fruit and fruit products | Milk and dairy products | Sugar and confectionary | Fruit and vegetable juices | Non-alcoholic beverages (except milk based beverages) | Alcoholic beverages | Herbs, spices and condiments | Composite food (including frozen products) | Snacks, desserts, and other foods | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | |
Denmark | 1 | 0 | 8 | 5 | 1 | 1 | 0 | 0 | 30 | 7 | 2 | 1 | 2 | 1 | 12 | 3 | 55 | 1 | 16 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
Finland | 0 | 0 | 7 | 2 | 1 | 1 | 1 | 0 | 56 | 0 | 3 | 2 | 1 | 0 | 15 | 4 | 43 | 1 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 0 |
Sweden | 3 | 2 | 2 | 1 | 1 | 1 | 0 | 0 | 29 | 5 | 2 | 1 | 1 | 0 | 14 | 4 | 41 | 10 | 7 | 0 | 1 | 0 | 8 | 4 | 1 | 1 |
Northern Region | 1 ± 1 | 1 ± 1 | 6 ± 2 | 3 ± 1 | 1 ± 0 | 1 ± 0 | 0 ± 0 | 0 ± 0 | 39 ± 9 | 4 ± 2 | 2 ± 0 | 1 ± 0 | 1 ± 0 | 0 ± 0 | 13 ± 1 | 4 ± 0 | 46 ± 4 | 4 ± 3 | 9 ± 4 | 3 ± 3 | 1 ± 0 | 0 ± 0 | 3 ± 2 | 1 ± 1 | 1 ± 0 | 0 ± 0 |
Belgium | 2 | 1 | 6 | 1 | 1 | 1 | 1 | 0 | 27 | 0 | 2 | 0 | 2 | 0 | 6 | 0 | 31 | 1 | 11 | 0 | 1 | 0 | 6 | 0 | 1 | 0 |
Czech Republic | 2 | 1 | 25 | 16 | 1 | 1 | 1 | 0 | 27 | 3 | 1 | 0 | 1 | 0 | 3 | 0 | 0 | 0 | 9 | 0 | 5 | 2 | 1 | 0 | 0 | 0 |
Germany | 2 | 1 | 6 | 0 | 1 | 0 | 1 | 0 | 34 | 0 | 1 | 0 | 2 | 0 | 20 | 0 | 100 | 1 | 8 | 0 | 2 | 0 | 4 | 0 | 1 | 0 |
Hungary | 1 | 0 | 10 | 4 | 1 | 1 | 1 | 0 | 35 | 15 | 1 | 0 | 1 | 0 | 5 | 0 | 57 | 33 | 3 | 0 | 4 | 3 | 0 | 0 | 0 | 0 |
Ireland | 2 | 1 | 10 | 7 | 3 | 2 | 1 | 0 | 17 | 3 | 1 | 0 | 2 | 1 | 3 | 0 | 200 | 191 | 7 | 0 | 3 | 1 | 1 | 0 | 1 | 0 |
Latvia | 2 | 1 | 2 | 1 | 1 | 1 | 0 | 0 | 34 | 0 | 1 | 0 | 1 | 0 | 4 | 0 | 66 | 50 | 1 | 0 | 8 | 0 | 13 | 8 | 1 | 0 |
Netherlands | 2 | 1 | 8 | 0 | 1 | 1 | 1 | 0 | 19 | 0 | 3 | 0 | 2 | 1 | 14 | 0 | 139 | 89 | 5 | 0 | 1 | 0 | 5 | 0 | 2 | 0 |
United Kingdom | 2 | 2 | 8 | 5 | 1 | 1 | 2 | 1 | 19 | 2 | 1 | 0 | 2 | 1 | 7 | 0 | 140 | 108 | 10 | 0 | 2 | 0 | 0 | 0 | 1 | 0 |
Central Region | 2 ± 0 | 1 ± 0 | 9 ± 2 | 4 ± 2 | 1 ± 0 | 1 ± 0 | 1 ± 0 | 0 ± 0 | 27 ± 3 | 3 ± 2 | 1 ± 0 | 0 ± 0 | 1 ± 0 | 0 ± 0 | 8 ± 2 | 0 ± 0 | 92 ± 23 | 59 ± 24 | 7 ± 1 | 0 ± 0 | 3 ± 1 | 1 ± 0 | 4 ± 2 | 1 ± 1 | 1 ± 0 | 0 ± 0 |
France | 2 | 2 | 8 | 3 | 1 | 1 | 2 | 1 | 31 | 1 | 2 | 1 | 1 | 0 | 10 | 0 | 38 | 0 | 12 | 2 | 7 | 2 | 0 | 0 | 1 | 1 |
Italy | 1 | 1 | 10 | 5 | 1 | 0 | 1 | 0 | 41 | 10 | 1 | 0 | 0 | 0 | 3 | 0 | 13 | 0 | 11 | 0 | 14 | 5 | 0 | 0 | 1 | 0 |
Spain | 2 | 1 | 15 | 5 | 1 | 1 | 2 | 0 | 39 | 7 | 2 | 1 | 1 | 0 | 5 | 0 | 1 | 0 | 5 | 0 | 2 | 1 | 0 | 0 | 1 | 0 |
Southern Region | 2 ± 0 | 1 ± 0 | 11 ± 2 | 4 ± 0 | 1 ± 0 | 1 ± 0 | 1 ± 0 | 0 ± 0 | 37 ± 3 | 6 ± 2 | 1 ± 0 | 1 ± 0 | 1 ± 0 | 0 ± 0 | 6 ± 2 | 0 ± 0 | 17 ± 11 | 0 ± 0 | 9 ± 2 | 1 ± 1 | 8 ± 3 | 3 ± 1 | 0 ± 0 | 0 ± 0 | 1 ± 0 | 0 ± 0 |
Europe | 2 ± 0 | 1 ± 0 | 9 ± 1 | 4 ± 1 | 1 ± 0 | 1 ± 0 | 1 ± 0 | 0 ± 0 | 31 ± 3 | 4 ± 1 | 2 ± 0 | 1 ± 0 | 1 ± 0 | 0 ± 0 | 8 ± 1 | 1 ± 0 | 66 ± 16 | 35 ± 15 | 8 ± 1 | 1 ± 1 | 4 ± 1 | 1 ± 0 | 3 ± 1 | 1 ± 1 | 1 ± 0 | 0 ± 0 |
Meat, meat products, fish and other sea-foods did not contribute to total flavonoid intake and were omitted.
Table 5. Sources of proanthocyanidins (in mg/d of proanthocyanidins with a degree of polymerisation of two or more; mean ± SEM) of adults (18 to 64 years) in the European Union by country and region.
Total intake Grains and grain-based products | Vegetables and vegetable products (including fungi) | Legumes, nuts and oilseeds | Fruit and fruit products | Milk and dairy products | Sugar and confectionary | Fruit and vegetable juices | Non-alcoholic beverages (excepting milk based beverages) | Alcoholic beverages | Herbs, spices and condiments | Composite food (including frozen products) | Snacks, desserts, and other foods | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | Mean | Median | |
Denmark | 4 | 1 | 4 | 0 | 2 | 0 | 68 | 23 | 3 | 0 | 9 | 4 | 3 | 1 | 6 | 0 | 16 | 9 | 0 | 0 | 0 | 0 | 1 | 0 |
Finland | 4 | 0 | 15 | 0 | 4 | 0 | 69 | 0 | 3 | 2 | 7 | 0 | 4 | 1 | 5 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
Sweden | 20 | 13 | 0 | 0 | 3 | 0 | 46 | 15 | 2 | 1 | 7 | 0 | 2 | 1 | 7 | 1 | 7 | 0 | 0 | 0 | 5 | 3 | 1 | 1 |
Northern Region | 9 ± 6 | 5 ± 4 | 6 ± 4 | 0 ± 0 | 3 ± 1 | 0 ± 0 | 61 ± 7 | 13 ± 7 | 3 ± 0 | 1 ± 0 | 8 ± 1 | 1 ± 1 | 3 ± 1 | 1 ± 0 | 6 ± 1 | 0 ± 0 | 9 ± 4 | 3 ± 3 | 0 ± 0 | 0 ± 0 | 2 ± 2 | 1 ± 1 | 1 ± 0 | 0 ± 0 |
Belgium | 10 | 4 | 8 | 0 | 3 | 0 | 52 | 0 | 2 | 0 | 11 | 0 | 2 | 0 | 5 | 0 | 11 | 0 | 2 | 0 | 1 | 0 | 1 | 0 |
Czech Republic | 11 | 6 | 11 | 0 | 5 | 0 | 59 | 11 | 1 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 7 | 4 | 1 | 0 | 1 | 0 |
Germany | 12 | 4 | 6 | 0 | 7 | 0 | 80 | 0 | 1 | 0 | 9 | 0 | 6 | 0 | 13 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
Hungary | 5 | 1 | 16 | 0 | 7 | 0 | 86 | 53 | 3 | 0 | 4 | 0 | 1 | 0 | 7 | 4 | 3 | 0 | 8 | 7 | 0 | 0 | 0 | 0 |
Ireland | 10 | 7 | 7 | 0 | 3 | 0 | 33 | 10 | 1 | 0 | 10 | 5 | 1 | 0 | 24 | 23 | 5 | 0 | 3 | 1 | 0 | 0 | 1 | 0 |
Latvia | 11 | 3 | 0 | 0 | 3 | 0 | 70 | 0 | 1 | 0 | 6 | 0 | 1 | 0 | 8 | 6 | 1 | 0 | 1 | 0 | 10 | 4 | 1 | 0 |
Netherlands | 10 | 5 | 5 | 0 | 5 | 0 | 30 | 0 | 4 | 0 | 13 | 4 | 3 | 0 | 17 | 11 | 4 | 0 | 0 | 0 | 1 | 0 | 3 | 0 |
United Kingdom | 18 | 11 | 0 | 0 | 13 | 6 | 38 | 4 | 1 | 0 | 8 | 3 | 2 | 0 | 17 | 13 | 9 | 0 | 2 | 0 | 0 | 0 | 1 | 0 |
Central Region | 11 ± 1 | 5 ± 1 | 7 ± 2 | 0 ± 0 | 6 ± 1 | 1 ± 1 | 56 ± 8 | 10 ± 6 | 2 ± 0 | 0 ± 0 | 8 ± 1 | 2 ± 1 | 2 ± 1 | 0 ± 0 | 11 ± 3 | 7 ± 3 | 6 ± 1 | 0 ± 0 | 3 ± 1 | 1 ± 1 | 2 ± 1 | 0 ± 0 | 1 ± 0 | 0 ± 0 |
France | 14 | 10 | 19 | 0 | 8 | 1 | 70 | 5 | 2 | 1 | 7 | 0 | 2 | 0 | 6 | 0 | 12 | 2 | 4 | 0 | 0 | 0 | 2 | 1 |
Italy | 8 | 3 | 9 | 0 | 3 | 0 | 83 | 32 | 1 | 0 | 2 | 0 | 1 | 0 | 2 | 0 | 11 | 0 | 41 | 0 | 0 | 0 | 1 | 0 |
Spain | 11 | 5 | 52 | 0 | 11 | 0 | 85 | 23 | 2 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 5 | 2 | 0 | 0 | 1 | 0 |
Southern Region | 11 ± 2 | 6 ± 2 | 27 ± 13 | 0 ± 0 | 7 ± 2 | 0 ± 0 | 80 ± 5 | 20 ± 8 | 1 ± 0 | 1 ± 0 | 4 ± 1 | 0 ± 0 | 1 ± 0 | 0 ± 0 | 2 ± 2 | 0 ± 0 | 9 ± 2 | 1 ± 1 | 16 ± 12 | 1 ± 1 | 0 ± 0 | 0 ± 0 | 2 ± 0 | 0 ± 0 |
Europe | 10 ± 1 | 5 ± 1 | 11 ± 4 | 0 ± 0 | 5 ± 1 | 0 ± 0 | 62 ± 5 | 13 ± 4 | 2 ± 0 | 0 ± 0 | 7 ± 1 | 1 ± 1 | 2 ± 0 | 0 ± 0 | 8 ± 2 | 4 ± 2 | 7 ± 1 | 1 ± 1 | 5 ± 3 | 1 ± 1 | 1 ± 1 | 0 ± 0 | 1 ± 0 | 0 ± 0 |
Starchy roots and tubers, meat, meat products, fish and other sea-foods did not contribute to total flavonoid intake and were omitted.
Whereas tea was the main contributor to dietary theaflavins and thearubigins, there was a wider variety of sources for proanthocyanidins (Table 5, Fig 4). The main sources were fruits (mean: 62 mg/d), in particular pome fruits (35 mg/d), berries and small fruits (11 mg/d) and stone fruits (10 mg/d). There were however large variations between different countries (Fig 5): in Finland and Latvia, berries and other small fruits were a major contributor to proanthocyanidins intake, whereas in the Southern Region, in particular in Italy and Spain, stone fruits were an important source. In comparison to polymeric and monomeric flavan-3-ols, the contribution from other groups were small and their main sources were fruits.
Individual compounds and sources
The contribution of different compounds to total flavonoid intake is summarised in Fig 2, and shown by region in Table 6 and Fig 6. Thearubigins were the largest contributor to total flavonoid intake (156 mg/d) whereas theaflavins contributed only small amounts, and this can be observed in all countries, independent of the total amount consumed. Conversely, the composition of proanthocyanidins is more variable. Overall, polymeric proanthocyanidins (DP > 10) contribute most to total intake, but the contribution of different oligomers is very variable. Especially in countries of the Southern Region, intake of 4-6mers is much higher than in most other countries (Fig 3).
Table 6. Mean intake of individual compounds (mg/d ± SEM) in adults (18 to 64 years) in the European Union.
Denmark | Finland | Sweden | Northern Region | Belgium | Czech Republic | Germany | Hungary | Ireland | Latvia | Netherlands | United Kingdom | Central Region | France | Italy | Spain | Southern Region | Europe | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(–)-Epicatechin | 14 | 12 | 11 | 12 ± 1 | 11 | 9 | 19 | 14 | 20 | 12 | 18 | 17 | 15 ± 1 | 13 | 10 | 11 | 11 ± 1 | 14 ± 1 |
(+)-Catechin | 11 | 11 | 9 | 10 ± 1 | 9 | 7 | 14 | 8 | 15 | 9 | 13 | 14 | 11 ± 1 | 10 | 7 | 8 | 8 ± 1 | 10 ± 1 |
(–)-Epicatechin-3-gallate | 10 | 8 | 8 | 9 ± 1 | 6 | 4 | 19 | 12 | 37 | 13 | 26 | 26 | 18 ± 4 | 7 | 3 | 1 | 4 ± 2 | 13 ± 3 |
(–)-Epigallocatechin | 14 | 11 | 10 | 12 ± 1 | 8 | 5 | 25 | 15 | 50 | 17 | 34 | 35 | 24 ± 5 | 10 | 4 | 2 | 5 ± 2 | 17 ± 4 |
(–)-Epigallocatechin-3-gallate | 17 | 13 | 12 | 14 ± 1 | 9 | 5 | 31 | 18 | 62 | 20 | 42 | 43 | 29 ± 7 | 12 | 4 | 1 | 6 ± 3 | 21 ± 5 |
(+)-Gallocatechin | 2 | 2 | 2 | 2 ± 0 | 1 | 1 | 4 | 2 | 8 | 2 | 5 | 5 | 4 ± 1 | 2 | 1 | 0 | 1 ± 0 | 3 ± 1 |
Kaempferol | 4 | 3 | 3 | 4 ± 0 | 3 | 4 | 6 | 5 | 11 | 4 | 8 | 8 | 6 ± 1 | 3 | 4 | 2 | 3 ± 0 | 5 ± 1 |
Myricetin | 2 | 2 | 1 | 2 ± 0 | 1 | 1 | 2 | 2 | 4 | 2 | 3 | 3 | 2 ± 0 | 2 | 1 | 1 | 1 ± 0 | 2 ± 0 |
Quercetin | 12 | 10 | 12 | 11 ± 1 | 12 | 9 | 17 | 14 | 21 | 17 | 18 | 16 | 15 ± 1 | 11 | 13 | 10 | 11 ± 1 | 14 ± 1 |
Isorhamnetin | 1 | 2 | 1 | 1 ± 0 | 2 | 3 | 2 | 3 | 3 | 2 | 2 | 2 | 2 ± 0 | 2 | 3 | 2 | 2 ± 0 | 2 ± 0 |
Hesperetin | 8 | 19 | 12 | 13 ± 3 | 7 | 6 | 13 | 7 | 5 | 3 | 12 | 6 | 7 ± 1 | 6 | 12 | 10 | 9 ± 2 | 9 ± 1 |
Naringenin | 3 | 7 | 5 | 5 ± 1 | 3 | 3 | 4 | 3 | 2 | 1 | 4 | 2 | 3 ± 0 | 3 | 6 | 4 | 4 ± 1 | 4 ± 0 |
Eriodictyol | 1 | 3 | 2 | 2 ± 1 | 1 | 1 | 1 | 1 | 1 | 0 | 2 | 1 | 1 ± 0 | 1 | 2 | 2 | 2 ± 0 | 1 ± 0 |
Apigenin | 2 | 2 | 1 | 2 ± 0 | 2 | 3 | 2 | 3 | 3 | 8 | 1 | 1 | 3 ± 1 | 6 | 9 | 1 | 5 ± 2 | 3 ± 1 |
Luteolin | 1 | 1 | 1 | 1 ± 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 ± 0 | 1 | 2 | 1 | 1 ± 0 | 1 ± 0 |
Cyanidin | 9 | 12 | 8 | 10 ± 1 | 8 | 7 | 11 | 9 | 4 | 12 | 6 | 6 | 8 ± 1 | 12 | 8 | 10 | 10 ± 1 | 9 ± 1 |
Delphinidin | 6 | 5 | 5 | 5 ± 0 | 3 | 2 | 3 | 2 | 2 | 4 | 2 | 4 | 3 ± 0 | 6 | 2 | 3 | 4 ± 1 | 4 ± 0 |
Malvidin | 6 | 5 | 3 | 5 ± 1 | 5 | 3 | 4 | 2 | 2 | 3 | 2 | 3 | 3 ± 0 | 5 | 4 | 3 | 4 ± 1 | 3 ± 0 |
Pelargonidin | 2 | 2 | 1 | 2 ± 0 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 ± 0 | 2 | 1 | 1 | 1 ± 0 | 1 ± 0 |
Peonidin | 1 | 2 | 1 | 1 ± 0 | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 1 | 1 ± 0 | 1 | 1 | 1 | 1 ± 0 | 1 ± 0 |
Petunidin | 1 | 2 | 1 | 1 ± 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 ± 0 | 1 | 1 | 1 | 1 ± 0 | 1 ± 0 |
PA dimers | 25 | 18 | 18 | 20 ± 2 | 20 | 15 | 30 | 22 | 33 | 18 | 27 | 29 | 24 ± 2 | 25 | 22 | 23 | 23 ± 1 | 23 ± 1 |
PA trimers | 9 | 9 | 8 | 9 ± 0 | 9 | 9 | 12 | 12 | 9 | 8 | 9 | 9 | 10 ± 1 | 12 | 16 | 16 | 14 ± 1 | 10 ± 1 |
PA 4–6 mers | 25 | 25 | 22 | 24 ± 1 | 26 | 27 | 31 | 33 | 19 | 23 | 20 | 21 | 25 ± 2 | 35 | 42 | 48 | 42 ± 4 | 28 ± 2 |
PA 7–10 mers | 18 | 18 | 15 | 17 ± 1 | 17 | 19 | 22 | 25 | 13 | 17 | 13 | 14 | 18 ± 2 | 24 | 28 | 35 | 29 ± 3 | 20 ± 2 |
PA polymers (>10) | 39 | 45 | 37 | 40 ± 3 | 37 | 37 | 48 | 50 | 25 | 45 | 26 | 36 | 38 ± 3 | 48 | 54 | 56 | 53 ± 2 | 42 ± 3 |
Theaflavin | 2 | 2 | 2 | 2 ± 0 | 1 | 1 | 4 | 3 | 9 | 3 | 6 | 6 | 4 ± 1 | 2 | 1 | 0 | 1 ± 0 | 3 ± 1 |
Theaflavin-3,3'-digallate | 3 | 2 | 2 | 2 ± 0 | 2 | 1 | 5 | 3 | 10 | 3 | 7 | 7 | 5 ± 1 | 2 | 1 | 0 | 1 ± 1 | 3 ± 1 |
Theaflavin-3'-gallate | 2 | 2 | 2 | 2 ± 0 | 1 | 1 | 4 | 3 | 9 | 3 | 6 | 6 | 4 ± 1 | 2 | 1 | 0 | 1 ± 0 | 3 ± 1 |
Theaflavin-3-gallate | 2 | 2 | 1 | 2 ± 0 | 1 | 1 | 4 | 2 | 7 | 2 | 5 | 5 | 3 ± 1 | 1 | 0 | 0 | 1 ± 0 | 2 ± 1 |
Thearubigins | 126 | 98 | 93 | 105 ± 10 | 70 | 40 | 231 | 135 | 470 | 152 | 323 | 327 | 219 ± 52 | 87 | 31 | 6 | 41 ± 24 | 156 ± 36 |
Epigallocatechin-3-gallate (EGCG) is the main type of gallated compounds consumed (21 mg/d) and (–)-epicatechin the main non-gallated monomeric flavan-3-ol. The consumption of all other types of flavonoids, except for quercetin (14 mg/d), was much lower.
Distribution of intake
The data available did not provide much information about the distribution of intake except for median and mean values and these data allows only a limited assessment. The distribution of intake was skewed for most compounds and countries, as median intake was always lower than mean intake. This was in particular noticeable in Germany were mean monomeric flavonoid intake was more than 60-fold higher than median intake (181 mg/d vs 3 mg/d) and more than 80-fold higher when including polymeric compounds (523 mg/d vs 7 mg/d). It was noticeable that for some compounds, i.e. gallated flavan-3-ols, anthocyanidins, flavanones and flavones as well as theaflavins and thearubigins, median intake in Germany was 0 mg/d. A similar, although less extreme, distribution was observed in Belgium (97 mg/d vs 3 mg/d for monomeric flavonoids and 281 mg/d vs 8 mg/d for all flavonoids). Conversely, mean and median intake were very similar both in Ireland, both for monomeric compounds (249 mg/d vs 206 mg/d) and total flavonoids (851 mg/d vs 733 mg/d). The distribution of intake was most skewed for flavanones, were median intake was 0 mg/d in most countries.
Discussion
There has been extensive research on the beneficial and adverse health effects of flavonoids, but there is only limited information on flavonoid intake in the general public. In this study, we provide one of the most comprehensive analyses of flavonoid intake in Europe, based on representative dietary surveys. The key strengths of this study are the data used, in particular the European food consumption data [36] which provides representative dietary data, and the detailed food composition data of the FLAVIOLA Flavanol Food Composition Database [35]. These data allow a reliable estimate of intake in the adult population. There are also some methodological limitations which we have discussed in more detail previously [35]. The main limitations were the resolution of data available and differences in the dietary assessment methods between countries (Table 1), which is likely to have introduced bias. In particular differences in assessment methods, such as differences in the number of days of assessment and seasonality, will affect the results. In addition, all observational methods are prone to underreporting and it is therefore likely that the actual intake of flavonoids is higher than reported here. Furthermore, the data available did not allow further statistical analyses.
More detailed data on the distribution of intake, or even the actual food consumption data such as provided by the UK’s National Diet and Nutrition Survey (NDNS) or National Health and Nutrition Examination Survey (NHANES) in the US, would have allowed a better exploration of the data available. However, despite these limitations this study, in particular in combination with our previous research [35], provides the most detailed and accurate analysis of flavonoid intake in the European Union.
Comparison with studies
There is a paucity of data on flavonoid intake in the general public and only few estimates exist.
Johannot and Somerset [47] reanalysed data from representative surveys in Denmark [48] and the Netherlands [49, 50], but these estimates are considerably lower than estimated intake in the current study and this might be due to a smaller number of food items for which data were available. While there are only limited data from representative surveys, there are more data available from other studies, such as clinical trials and observational cohorts, or food balance sheets. Beking and Vieira estimated flavonoid intake in the UK and Ireland using the latter approach [51], and their estimates are considerably higher for anthocyanidins (60 mg/d vs 9 mg/d for Ireland; 69 mg/d vs 16 mg/d for the UK) and flavanones (29 mg/d vs 8 mg/d for Ireland; 26 mg/d vs 9 mg/d for the UK), whereas their estimates for monomeric flavan-3-ols are lower (190 mg/d vs 9 mg/d for Ireland; 140 mg/d vs 16 mg/d for the UK). Due to differences in the methodologies used, it is difficult to explain the reason for these differences. Zamaro-Ros et al. conducted one of the most detailed analysis of total flavonoid intake in the different centres of the European Prospective Investigation into Cancer (EPIC) study [34, 52–54]. These data provided so far the most comprehensive analysis of flavonoid intake in Europe, but intakes were considerably lower in our study: flavonol (30 mg/d vs 23 mg/d), flavanone (35 mg/d vs 14 mg/d), anthocyanidins (31 mg/d vs 19 mg/d) and proanthocyanidin (207 mg/d vs 124 mg/d) intake were considerably higher than in our study. However, there are some important differences: Firstly, the participants of EPIC are not a representative selection of the general public with some cohorts contributing only women or men and the cohorts consisting of mainly healthy, middle-aged participants, and because of volunteer bias, participants are likely to have more interest in diet and health and therefore a different diet. Secondly, intake assessment in EPIC is based on dietary data collected in the 1990s, and it is likely that dietary habits have changed.
Total intake of flavonoids in Europe is comparable with intake in Australia (454 mg/d), although the consumption of anthocyanidins (3 mg/d in Australia vs 19 mg/d), flavanones (7 mg/d in Australia vs 14 mg/d) and flavones (0.5 mg/d in Australia vs 4 mg/d) was considerably lower and it is mainly monomeric and polymeric flavan-3-ol that is higher (422 mg/d vs 370 mg/d; see [35] for a more detailed discussion) [47].
Based on data from NHANES, Bai et al. [55] estimated dietary intake of flavonoids in US adults. Overall, intake in the US is similar to intake in Europe, although there are some notable differences: intake of flavanones (22 mg/d vs 14 mg/d) is higher in the US population, but intake of flavones (4 mg/d vs 1 mg/d) and in particular anthocyanidins (9 mg/d vs 19 mg/d) is considerably lower. Indeed, the intake of anthocyanidins is lower than in all European countries except for Ireland. It is more difficult to compare intake of flavan-3-ols or total flavonoids, as Bai et al. did not include thearubigins. However, it is noticeable that the intake of gallated compounds is lower than intake in Europe (27 mg/d vs 53 mg/d) whereas the intakes of (–)-epicatechin (68 mg/d vs 14 mg/d) and (+)-catechin (84 mg/d vs 10 mg/d) are much higher. This is surprising as such a pattern of intake is difficult to explain as the main sources of (–)-epicatechin and (+)-catechin also contain similar or higher amounts of gallated compounds and thus it is not clear how such high intakes can be achieved.
Table 7 shows a comparison of mean and median intake data from Europe, Australia and the USA, both from representative surveys and large cohort studies. While differences in methodology and the definition of flavonoid subclasses, in particular polymeric compounds, make a direct comparison difficult, the results are similar for most compounds. The most obvious differences, which cannot be explained by methodological differences, are the lower intake of anthocyanidins in the USA and Australia and the higher intake of flavanones in the USA.
Table 7. Mean and median flavonoid intake (in mg/d) in representative nutrition surveys and observational studies.
Country/Region | Flavan-3-ols | Anthocyanidins | Flavonols | Flavanones | Flavones | PA | Thearubigins & Theaflavins | Study | Assessment method ¶ |
---|---|---|---|---|---|---|---|---|---|
Mean intake | |||||||||
Europe † | 77 | 19 | 23 | 14 | 4 | 124 | 168 | Current study | Table 1 |
Europe | 76 | 31 | 29 | 5 | 35 | 198 | 107 | EPIC § [34, 52–54] | 24HDR |
USA † | 182 | 9.2 | 18 | 22 | 1 | 98 | — | NHANES [55] | 24HDR |
USA | 79 | 8 | 15 | 26 | 1 | — | — | Nurses Health Study II [56] | FFQ |
Australia † | — | 2.9 | 21 | 7 | 1 | — | — | Australian National Nutrition Survey (NNS95) [47] | 24HDR |
Median intake | |||||||||
Europe † | 35 | 3 | 8 | 1 | 1 | 27 | 89 | Current study | Table 1 |
USA | 20 | <1 | 9 | 40 | <1 | 175 ‡ | — | Iowa Women’s Health [12] | FFQ |
USA | 17 | 10 | 13 | 17 | 1 | 132 ‡ | — | Cancer Prevention Study II [13] | FFQ |
For observational studies, mean or median intake is based on the mean/median intake of quintile 3.
†representative surveys;
‡includes monomeric compounds;
§non-weighed average of values;
¶FFQ: food frequency questionnaire, 24HDR 24h dietary recall
Regional differences and distributions
There were large regional differences, both in the type of flavonoids consumed and the distribution of intake. We have discussed differences in the consumption of flavan-3-ols, in particular gallated compounds and proanthocyanidins, in great detail previously [35], but there were also noticeable differences for other compound classes. Intakes of anthocyanidins (in particular cyanidin) and flavanones (in particular hesperetin) were highest in the Northern Region, in particular in Finland. In Finland, the main source of anthocyanidins where berries and small fruits (18 mg/d) whereas the main source of flavanones were citrus fruits (20 mg/d). Interestingly, Finland had the highest intake of flavanones from citrus fruits in Europe, followed by Italy (17 mg/d) and Sweden (11 mg/d). Within the Central Region, there was also a large variability of intake between countries. While overall flavonoid intake in Ireland was the highest in Europe, the intake of anthocyanidins was the lowest overall, and intake of flavanones was also very low.
In this and previous studies [35], we have included France in the Southern Region as dietary intake was more comparable with intake in Italy and Spain. However, there are some important differences, and the intake of flavan-3-ols and anthocyanidins in France is considerably higher than in the other countries of the Southern Region.
The distribution of intake is very skewed, with higher mean than median intake. This is in particular noticeable for compounds with high intake such as monomeric and polymeric flavan-3-ols [35], but also for other compounds. The largest difference between mean and median intake was observed in Germany where median intake for some flavan-3-ols, but also anthocyanidins, flavanones and flavones was 0 mg/d. Although regional differences in dietary intake might be an explanation for this, as the Second German National Nutrition Survey [57] shows an almost two-fold regional variation in the consumption of fruit, the main sources of monomeric flavonoids apart from tea in Germany. However, data from EPIC Potsdam and EPIC Heidelberg show similar mean intake of anthocyanidins (34 mg/d and 37 mg/d respectively) [52] and similar results are also found for flavanones (44 mg/d and 36 mg/d) and flavones (7 mg/d and 8 mg/d).
Implications
The mean intake of flavonoids in Europe is lower than the amounts suspected to result in adverse effects [24] and it is therefore unlikely that the habitual intake is detrimental to health. However, the main focus of flavonoid research in the past decades has focused on their potentially beneficial effect. Mean intake of most flavonoids in Europe is broadly comparable with intake in observational studies conducted in the US [12–14, 56] and Europe [15, 23] benefits to health are therefore likely to be limited. However, mean intake of anthocyanidins in some countries (Finland, Latvia and France) was similar or higher than intake in the top quintile in the Nurses Health Study II, where high anthocyanidins intake was associated with a reduced risk of myocardial infarction [56]. It was also higher than in the UK twin study [58], where high anthocyanin intake was associated with improved vascular function.
Results from observational studies are ambiguous and failed to show a clear association between flavonoid intake and health, especially for cardio-vascular diseases and all-cause mortality. Studies investigating these associations did not show significant trends suggestive of a dose-response effect, and beneficial effects are mainly observed when comparing the quantiles with lowest and very low intake [13, 15]. As this pattern is observed in several observational studies with a very wide range of flavonoid intake [12, 13, 15, 56, 59, 60], it is unlikely that there is a threshold effect. A similar pattern was observed for risk-factors of cardio-vascular diseases [61]. Conversely, a statistically significant trend suggesting a dose response effect was observed for associations with type 2 diabetes in Europe [23] and the US [62].
Previously, we have shown that flavan-3-ol intake in the general public is much lower than the amounts used in most dietary intervention studies [33] and that it is unlikely that the amount consumed has a direct impact on vascular health. While there are several systematic reviews and meta-analyses for flavan-3-ols [33, 63, 64], there is a paucity of similar data for other compounds. A recent review of dietary intervention studies with berry polyphenols found that most intervention studies were conducted with anthocyanidin intakes in excess of 200 mg/d, which is much higher than the usual intake in Europe.
Conclusion
Our results provide a detailed overview of flavonoid consumption in European adults. These results allow for a comparison of habitual intake in the general public with the amounts used in dietary intervention studies. Our data suggest that habitual intake of most compounds is likely too low to result in a reduced risk of cardio-vascular diseases, but also too low to result in adverse effects. However, a lack of systematic reviews and meta-analyses of intervention studies makes these comparisons difficult. Further research is required to investigate the potential health benefits of flavonoids, in particular the primary prevention of chronic diseases in the general public. It is in particular important to use standardised and validated analytical methods and a consistent nomenclature of compounds to ensure that results are comparable. Furthermore, the development of improved dietary assessment methods, especially using nutritional biomarkers, is important to investigate the potential health effects of flavonoids in larger observational studies.
An important result of our study was the skewed distribution of flavonoid intake, especially in Belgium and Germany. In both countries, half of the adult population consumed only negligible amounts of monomeric and polymeric flavonoids. Most observational studies conducted so far have found the highest risk of cardio-vascular diseases with very low flavonoid intake [12–14], and even though it is not clear whether this is due to dietary or other factors, it is important to investigate whether these dietary patterns have an impact on public health.
Supporting Information
Acknowledgments
We thank the members of the FLAVIOLA consortium for their critical review of the manuscript.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This project was supported by the European Union (grant 226588, “Flaviola”). Mars, Inc., a member of the FLAVIOLA research consortium, provided support in the form of salaries for author HS, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of this author is articulated in the ‘author contributions’ section.
References
- 1. Hollman PCH, Hertog MGL, Katan MB. Analysis and health effects of flavonoids. Food Chemistry. 1996;57(1):43–6. doi: papers3://publication/doi/10.1016/0308-8146(96)00065-9. [Google Scholar]
- 2. Strack D. Phenolic metabolism In: Dey PM, Harborne JB, editors. Plant biochemistry. 3rd ed San Diego: Academic Press; 1997. p. 387–416. [Google Scholar]
- 3. Wasson AP, Pellerone FI, Mathesius U. Silencing the flavonoid pathway in Medicago truncatula inhibits root nodule formation and prevents auxin transport regulation by rhizobia. The Plant cell. 2006;18(7):1617–29. 10.1105/tpc.105.038232 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Schroeder I. Pharmacopoeia medico-chymica, sive thesaurus pharmacologeus. Ulmae Suevorum1655.
- 5. Berends KAW. Handbuch der praktischen Arzneiwissenschaft oder der speziellen Pathologie und Therapie. Berlin: Enslin; 1829. [Google Scholar]
- 6. Armentano L, Bentsáth A, Béres T, Rusnyák S, Szent-Györgzi A. Über den Einfluß von Substanzen der Flavongruppe auf die Permeabilität der Kapillaren. Vitamin P. Deutsche Medizinische Wochenschrift. 1936;62(32):1325–8. [Google Scholar]
- 7. Zilva SS. Vitamin P. 3. Biochemical Journal. 1949;45(1):79–83. [PubMed] [Google Scholar]
- 8. Jaeger A, Wälti M, Neftel KA. Side effects of flavonoids in medical practice. Progress in Clinical and Biological Research. 1988;280:379–94. [PubMed] [Google Scholar]
- 9. Hollenberg NK, Martinez G, McCullough M, Meinking T, Passan D, Preston M, et al. Aging, acculturation, salt intake, and hypertension in the Kuna of Panama. Hypertension. 1997;29(1 Pt 2):171–6. 10.1161/01.HYP.29.1.171 . [DOI] [PubMed] [Google Scholar]
- 10. Hertog MG, Feskens EJ, Hollman PC, Katan MB, Kromhout D. Dietary antioxidant flavonoids and risk of coronary heart disease: the Zutphen Elderly Study. Lancet. 1993;342(8878):1007–11. . [DOI] [PubMed] [Google Scholar]
- 11. Keli SO, Hertog MG, Feskens EJ, Kromhout D. Dietary flavonoids, antioxidant vitamins, and incidence of stroke: the Zutphen study. 1996;156(6):637–42. . [PubMed] [Google Scholar]
- 12. Mink PJ, Scrafford CG, Barraj LM, Harnack L, Hong C-P, Nettleton JA, et al. Flavonoid intake and cardiovascular disease mortality: a prospective study in postmenopausal women. The American journal of clinical nutrition. 2007;85(3):895–909. . [DOI] [PubMed] [Google Scholar]
- 13. McCullough ML, Peterson JJ, Patel R, Jacques PF, Shah R, Dwyer JT. Flavonoid intake and cardiovascular disease mortality in a prospective cohort of US adults. American Journal of Clinical Nutrition. 2012;95(2):454–64. 10.3945/ajcn.111.016634 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Cassidy A, Rimm EB, O’ Reilly EJ, Logroscino G, Kay C, Chiuve SE, et al. Dietary flavonoids and risk of stroke in women. Stroke; a journal of cerebral circulation. 2012;43(4):946–51. 10.1161/STROKEAHA.111.637835 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Vogiatzoglou A, Mulligan AA, Bhaniani A, Lentjes MA, McTaggart A, Luben RN, et al. Associations between flavan-3-ol intake and CVD risk in the Norfolk cohort of the European Prospective Investigation into Cancer (EPIC-Norfolk). Free Radic Biol Med. 2015. 10.1016/j.freeradbiomed.2015.03.005 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Williams RJ, Spencer JP, Rice-Evans C. Flavonoids: antioxidants or signalling molecules? Free Radical Biology and Medicine. 2004;36(7):838–49. [DOI] [PubMed] [Google Scholar]
- 17. Wang X, Ouyang YY, Liu J, Zhao G. Flavonoid intake and risk of CVD: a systematic review and meta-analysis of prospective cohort studies. Br J Nutr. 2014;111(1):1–11. 10.1017/S000711451300278X . [DOI] [PubMed] [Google Scholar]
- 18. Hui C, Qi X, Qianyong Z, Xiaoli P, Jundong Z, Mantian M. Flavonoids, flavonoid subclasses and breast cancer risk: a meta-analysis of epidemiologic studies. PLoS One. 2013;8(1):e54318 10.1371/journal.pone.0054318 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Woo HD, Kim J. Dietary flavonoid intake and risk of stomach and colorectal cancer. World journal of gastroenterology: WJG. 2013;19(7):1011–9. 10.3748/wjg.v19.i7.1011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Woo HD, Kim J. Dietary flavonoid intake and smoking-related cancer risk: a meta-analysis. PLoS One. 2013;8(9):e75604 10.1371/journal.pone.0075604 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Tang N-P, Zhou B, Wang B, Yu R-B, Ma J. Flavonoids Intake and Risk of Lung Cancer: A Meta-analysis. Japanese Journal of Clinical Oncology. 2009;39(6):352–9. 10.1093/jjco/hyp028 [DOI] [PubMed] [Google Scholar]
- 22. Wang L, Lee I-M, Zhang SM, Blumberg JB, Buring JE, Sesso HD. Dietary intake of selected flavonols, flavones, and flavonoid-rich foods and risk of cancer in middle-aged and older women. The American Journal of Clinical Nutrition. 2009;89(3):905–12. 10.3945/ajcn.2008.26913 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Zamora-Ros R, Forouhi NG, Sharp SJ, Gonzalez CA, Buijsse B, Guevara M, et al. Dietary intakes of individual flavanols and flavonols are inversely associated with incident type 2 diabetes in European populations. J Nutr. 2014;144(3):335–43. 10.3945/jn.113.184945 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Martinez SE, Davies NM, Reynolds JK. Toxicology and safety of flavonoids In: Davies NM, Yáñez JA, editors. Flavonoid Pharmacokinetics: Methods of Analysis, Preclinical and Clinical Pharmacokinetics, Safety, and Toxicology. Hoboken, New Jersey: John Wiley & Son; 2012. [Google Scholar]
- 25. Mazzanti G, Menniti-Ippolito F, Moro PA, Cassetti F, Raschetti R, Santuccio C, et al. Hepatotoxicity from green tea: a review of the literature and two unpublished cases. European journal of clinical pharmacology. 2009;65(4):331–41. 10.1007/s00228-008-0610-7 . [DOI] [PubMed] [Google Scholar]
- 26. Quadri F, Neftel K, Zwahlen H, Marone C. Catergen-induced immune hemolytic anemia following sensitization by other flavonoids. Schweizerische Rundschau Medizin Praxis. 1987;76(48):1338–40. [PubMed] [Google Scholar]
- 27. Wälti M, Neftel KA, Jost R, Jaeger A, Berg P, Heinzel F, et al. IE and IgG antibodies against flavonoids following therapy with flavonoid-containing drugs]. Schweizerische Medizinische Wochenschrift. 1986;116(4):98–103. [PubMed] [Google Scholar]
- 28. Bandele OJ, Clawson SJ, Osheroff N. Dietary Polyphenols as Topoisomerase II Poisons: B Ring and C Ring Substituents Determine the Mechanism of Enzyme-Mediated DNA Cleavage Enhancement. Chemical Research in Toxicology. 2008;21(6):1253–60. 10.1021/tx8000785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Strick R, Strissel PL, Borgers S, Smith SL, Rowley JD. Dietary bioflavonoids induce cleavage in the MLL gene and may contribute to infant leukemia. Proceedings of the National Academy of Sciences. 2000;97(9):4790–5. 10.1073/pnas.070061297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Pendleton M, Lindsey RH, Felix CA, Grimwade D, Osheroff N. Topoisomerase II and leukemia. Annals of the New York Academy of Sciences. 2014;1310(1):98–110. 10.1111/nyas.12358 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Yáñez JA, Chemuturi NV, Womble SW, Sayre CL, Davies NM. Flavonoids and drug interactions In: Davies NM, Yáñez JA, editors. Flavonoid Pharmacokinetics: Methods of Analysis, Preclinical and Clinical Pharmacokinetics, Safety, and Toxicology. Hoboken, New Jersey: John Wiley & Sons; 2012. [Google Scholar]
- 32. Lupton JR, Atkinson SA, Chang N, Fraga CG, Levy J, Messina M, et al. Exploring the benefits and challenges of establishing a DRI-like process for bioactives. Eur J Nutr. 2014;53 Suppl 1:1–9. 10.1007/s00394-014-0666-3 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Hooper L, Kay C, Abdelhamid A, Kroon PA, Cohn JS, Rimm EB, et al. Effects of chocolate, cocoa, and flavan-3-ols on cardiovascular health: a systematic review and meta-analysis of randomized trials. American Journal of Clinical Nutrition. 2012;95(3):740–51. 10.3945/ajcn.111.023457 . [DOI] [PubMed] [Google Scholar]
- 34. Zamora-Ros R, Knaze V, Lujan-Barroso L, Slimani N, Romieu I, Fedirko V, et al. Estimated dietary intakes of flavonols, flavanones and flavones in the European Prospective Investigation into Cancer and Nutrition (EPIC) 24 hour dietary recall cohort. Br J Nutr. 2011;106(12):1915–25. 10.1017/S000711451100239X . [DOI] [PubMed] [Google Scholar]
- 35. Vogiatzoglou A, Mulligan AA, Luben RN, Lentjes MAH, Heiss C, Kelm M, et al. Assessment of the dietary intake of total flavan-3-ols, monomeric flavan-3-ols, proanthocyanidins and theaflavins in the European Union. British Journal of Nutrition. 2014;111(8):1463–73. 10.1017/S0007114513003930 [DOI] [PubMed] [Google Scholar]
- 36.The EFSA Comprehensive European Food Consumption Database [Internet]. 2011.
- 37.Food classification [Internet]. 2011.
- 38. USDA. USDA Database for the Flavonoid Content of Selected Foods. Beltsville: MD: US Department of Agriculture; 2011. 10.1080/21551197.2012.702530 [DOI] [Google Scholar]
- 39. USDA. USDA Database for the Proanthocyanidin Content of Selected Foods. Beltsville, MD: US Department of Agriculture; 2007. [Google Scholar]
- 40. Neveu V, Perez-Jimenez J, Vos F, Crespy V, du Chaffaut L, Mennen L, et al. Phenol-Explorer: an online comprehensive database on polyphenol contents in foods. Database (Oxford). 2010;2010:bap024 Epub 2010/04/30. 10.1093/database/bap024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Welch AA, McTaggart A, Mulligan AA, Luben R, Walker N, Khaw KT, et al. DINER (Data Into Nutrients for Epidemiological Research)—a new data-entry program for nutritional analysis in the EPIC-Norfolk cohort and the 7-day diary method. Public Health Nutr. 2001;4(6):1253–65. Epub 2002/02/14. doi: S136898000100115X [pii]. . [DOI] [PubMed] [Google Scholar]
- 42. Crozier A, Lean M, McDonald M, Black C. Quantitative analysis of the flavonoid content of commercial tomatoes, onions, lettuces, and celery. J Agric Food Chem. 1997;45:590–5. [Google Scholar]
- 43. Lentjes MAH, McTaggart A, Mulligan AA, Powell NA, Parry-Smith D, Luben RN, et al. Dietary intake using 7-day diaries in British men and women in the EPIC-Norfolk Study: a focus on methodological issures. British Journal of Nutrition. 2013;in press. [DOI] [PubMed] [Google Scholar]
- 44.Holland B, Welch AA, Unwin I, Buss D, Paul A, Southgate D. McCance and Widdowson's The Composition of Foods1991.
- 45. Ward HA, Kuhnle GGC. Phytoestrogen consumption and association with breast, prostate and colorectal cancer in EPIC Norfolk. Archives of Biochemistry and Biophysics. 2010;501(1):170–5. 10.1016/j.abb.2010.05.018 [DOI] [PubMed] [Google Scholar]
- 46. Team RC. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2014. 10.1016/j.jneumeth.2014.06.019 [DOI] [Google Scholar]
- 47. Johannot L, Somerset SM. Age-related variations in flavonoid intake and sources in the Australian population. Public Health Nutr. 2006;9(8):1045–54. Epub 2006/11/28. doi: S1368980006009712 [pii]. . [DOI] [PubMed] [Google Scholar]
- 48. Justesen U, Knuthsen P, Leth T. Determination of plant polyphenols in Danish foodstuffs by HPLC-UV and LC-MS detection. Cancer Lett. 1997;114(1–2):165–7. Epub 1997/03/19. doi: S0304-3835(97)04651-X. . [DOI] [PubMed] [Google Scholar]
- 49. Hertog MG, Hollman PC, Katan MB, Kromhout D. Intake of potentially anticarcinogenic flavonoids and their determinants in adults in The Netherlands. Nutr Cancer. 1993;20(1):21–9. Epub 1993/01/01. 10.1080/01635589309514267 . [DOI] [PubMed] [Google Scholar]
- 50. Commenges D, Scotet V, Renaud S, Jacqmin-Gadda H, Barberger-Gateau P, Dartigues JF. Intake of flavonoids and risk of dementia. European Journal of Epidemiology. 2000;16(4):357–63. [DOI] [PubMed] [Google Scholar]
- 51. Beking K, Vieira A. An assessment of dietary flavonoid intake in the UK and Ireland. Int J Food Sci Nutr. 2011;62(1):17–9. 10.3109/09637486.2010.511165 . [DOI] [PubMed] [Google Scholar]
- 52. Zamora-Ros R, Knaze V, Lujan-Barroso L, Slimani N, Romieu I, Touillaud M, et al. Estimation of the intake of anthocyanidins and their food sources in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. The British journal of nutrition. 2011:1–10. 10.1017/S0007114511001437 [DOI] [PubMed] [Google Scholar]
- 53. Knaze V, Zamora-Ros R, Lujan-Barroso L, Romieu I, Scalbert A, Slimani N, et al. Intake estimation of total and individual flavan-3-ols, proanthocyanidins and theaflavins, their food sources and determinants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. The British journal of nutrition. 2012;108(6):1095–108. 10.1017/S0007114511006386 . [DOI] [PubMed] [Google Scholar]
- 54. Zamora-Ros R, Knaze V, Romieu I, Scalbert A, Slimani N, Clavel-Chapelon F, et al. Impact of thearubigins on the estimation of total dietary flavonoids in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Eur J Clin Nutr. 2013;67(7):779–82. 10.1038/ejcn.2013.89 . [DOI] [PubMed] [Google Scholar]
- 55. Bai W, Wang C, Ren C. Intakes of total and individual flavonoids by US adults. Int J Food Sci Nutr. 2014;65(1):9–20. 10.3109/09637486.2013.832170 . [DOI] [PubMed] [Google Scholar]
- 56. Cassidy A, Mukamal KJ, Liu L, Franz M, Eliassen AH, Rimm EB. High anthocyanin intake is associated with a reduced risk of myocardial infarction in young and middle-aged women. Circulation. 2013;127(2):188–96. 10.1161/CIRCULATIONAHA.112.122408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Max Rubner-Institut. Ergebnisbericht der Nationalen Verzehrsstudie II. Karlsruhe: 2008. [Google Scholar]
- 58. Jennings A, Welch AA, Fairweather-Tait SJ, Kay C, Minihane AM, Chowienczyk P, et al. Higher anthocyanin intake is associated with lower arterial stiffness and central blood pressure in women. Am J Clin Nutr. 2012;96(4):781–8. 10.3945/ajcn.112.042036 . [DOI] [PubMed] [Google Scholar]
- 59. Tresserra-Rimbau A, Rimm EB, Medina-Remon A, Martinez-Gonzalez MA, Lopez-Sabater MC, Covas MI, et al. Polyphenol intake and mortality risk: a re-analysis of the PREDIMED trial. BMC Med. 2014;12:77 10.1186/1741-7015-12-77 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Cassidy A, O’Reilly EJ, Kay C, Sampson L, Franz M, et al. Habitual intake of flavonoid subclasses and incident hypertension in adults. American Journal of Clinical Nutrition. 2010. 10.3945/ajcn.110.006783 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Cassidy A, O’Reilly EJ, Kay C, Sampson L, Franz M, Forman J, et al. Habitual intake of flavonoid subclasses and incident hypertension in adults. American Journal of Clinical Nutrition. 2011;93(2):338–47. 10.3945/ajcn.110.006783 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Wedick NM, Pan A, Cassidy A, Rimm EB, Sampson L, Rosner B, et al. Dietary flavonoid intakes and risk of type 2 diabetes in US men and women. Am J Clin Nutr. 2012;95(4):925–33. 10.3945/ajcn.111.028894 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Ellinger S, Reusch A, Stehle P, Helfrich H-P. Epicatechin ingested via cocoa products reduces blood pressure in humans: a nonlinear regression model with a Bayesian approach. American Journal of Clinical Nutrition. 2012;95(6):1365–77. 10.3945/ajcn.111.029330 . [DOI] [PubMed] [Google Scholar]
- 64. Ried K, Sullivan T, Fakler P, Frank OR, Stocks NP. Effect of cocoa on blood pressure. Cochrane Database of Systematic Reviews. 2012;(8):1–83. 10.1002/14651858.CD008893.pub2 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.
The flavonoid consumption data used in this study is available as S1 File: Flavonoid intake in adults in the European Union by country and individual food.