Crozier, A., Jaganath, I. B. & Clifford, M. N. Dietary phenolics: chemistry, bioavailability and effects on health. Nat. Prod. Rep. 26, 1001–1043. https://doi.org/10.1039/b802662a (2009).
do Valle, I. F. et al. Network medicine framework shows that proximity of polyphenol targets and disease proteins predicts therapeutic effects of polyphenols. Nat. Food 2, 143–155. https://doi.org/10.1038/s43016-021-00243-7 (2021).
Australian Bureau of Statistics. 4364.0.55.007: Australian Health Survey: Nutrition First Results: Food and Nutrients, 2011–2012. (Australian Bureau of Statistics, 2014).
Davis, C., Bryan, J., Hodgson, J. & Murphy, K. Definition of the Mediterranean diet; a literature review. Nutrients 7, 9139–9153. https://doi.org/10.3390/nu7115459 (2015).
Australian Bureau of Statistics. Grain (Cereals). (Australian Bureau of Statistics, 2016).
Phenol-Explorer Version 3.6. Reports: Cereals. http://phenol-explorer.eu/reports/41.
Neveu, V. et al. Phenol-Explorer: An online comprehensive database on polyphenol contents in foods. Database https://doi.org/10.1093/database/bap024 (2010).
Kozubek, A. & Tyman, J. H. P. Resorcinolic lipids, the natural non-isoprenoid phenolic amphiphiles and their biological activity. Chem. Rev. 99, 1–26. https://doi.org/10.1021/cr970464o (1999).
Schendel, R. R. in Sprouted Grains (eds H. Feng, B. Nemzer, & J. W. DeVries) 247–315 (AACC International Press, 2019).
Ciccoritti, R., Carbone, K., Bellato, S., Pogna, N. & Sgrulletta, D. Content and relative composition of some phytochemicals in diploid, tetraploid and hexaploid Triticum species with potential nutraceutical properties. J. Cereal Sci. 57, 200–206. https://doi.org/10.1016/j.jcs.2012.07.009 (2013).
Ross, A. B. et al. Alkylresorcinols in cereals and cereal products. J. Agric. Food Chem. 51, 4111–4118. https://doi.org/10.1021/jf0340456 (2003).
Li, L., Shewry, P. R. & Ward, J. L. Phenolic acids in wheat varieties in the HEALTHGRAIN diversity screen. J. Agric. Food Chem. 56, 9732–9739. https://doi.org/10.1021/jf801069s (2008).
Khan, J. et al. Overview of the composition of whole grains’ phenolic acids and dietary fibre and their effect on chronic non-communicable diseases. Int. J. Environ. Res. Public Health https://doi.org/10.3390/ijerph19053042 (2022).
Mattila, P., Pihlava, J.-M. & Hellström, J. Contents of phenolic acids, alkyl- and alkenylresorcinols, and avenanthramides in commercial grain products. J. Agric. Food Chem. 53, 8290–8295. https://doi.org/10.1021/jf051437z (2005).
Bumrungpert, A., Lilitchan, S., Tuntipopipat, S., Tirawanchai, N. & Komindr, S. Ferulic acid supplementation improves lipid profiles, oxidative stress, and inflammatory status in hyperlipidemic subjects: A randomized, double-blind, placebo-controlled clinical trial. Nutrients 10, 713. https://doi.org/10.3390/nu10060713 (2018).
Turner, A. L., Michaelson, L. V., Shewry, P. R., Lovegrove, A. & Spencer, J. P. E. Increased bioavailability of phenolic acids and enhanced vascular function following intake of feruloyl esterase-processed high fibre bread: A randomized, controlled, single blind, crossover human intervention trial. Clin. Nutr. https://doi.org/10.1016/j.clnu.2020.07.026 (2020).
Rosa, L. S. et al. Pharmacokinetic, antiproliferative and apoptotic effects of phenolic acids in human colon adenocarcinoma cells using in vitro and in silico approaches. Molecules https://doi.org/10.3390/molecules23102569 (2018).
Janicke, B. et al. The antiproliferative effect of dietary fiber phenolic compounds ferulic acid and p-coumaric acid on the cell cycle of Caco-2 cells. Nutr. Cancer 63, 611–622. https://doi.org/10.1080/01635581.2011.538486 (2011).
Chowdhury, S., Ghosh, S., Das, A. K. & Sil, P. C. Ferulic acid protects hyperglycemia-induced kidney damage by regulating oxidative insult, inflammation and autophagy. Front. Pharmacol. https://doi.org/10.3389/fphar.2019.00027 (2019).
Wu, W., Tang, Y., Yang, J., Idehen, E. & Sang, S. Avenanthramide aglycones and glucosides in oat bran: Chemical profile, levels in commercial oat products, and cytotoxicity to human colon cancer cells. J. Agric. Food Chem. 66, 8005–8014. https://doi.org/10.1021/acs.jafc.8b02767 (2018).
Kruk, J., Aboul-Enein, B., Bernstein, J. & Marchlewicz, M. Dietary alkylresorcinols and cancer prevention: A systematic review. Eur. Food Res. Technol. 243, 1693–1710. https://doi.org/10.1007/s00217-017-2890-6 (2017).
Chen, C. Y. O., Milbury, P. E., Collins, F. W. & Blumberg, J. B. Avenanthramides are bioavailable and have antioxidant activity in humans after acute consumption of an enriched mixture from oats. J. Nutr. 137, 1375–1382. https://doi.org/10.1093/jn/137.6.1375 (2007).
Elder, A. S., Coupland, J. N. & Elias, R. J. Effect of alkyl chain length on the antioxidant activity of alkylresorcinol homologues in bulk oils and oil-in-water emulsions. Food Chem. 346, 128885. https://doi.org/10.1016/j.foodchem.2020.128885 (2021).
Zhang, Y. et al. Consumption of avenanthramides extracted from oats reduces weight gain, oxidative stress, inflammation and regulates intestinal microflora in high fat diet-induced mice. J. Funct. Foods 65, 103774. https://doi.org/10.1016/j.jff.2019.103774 (2020).
Zhouyao, H. et al. The inhibition of intestinal glucose absorption by oat-derived avenanthramides. J. Food Biochem. 46, e14324. https://doi.org/10.1111/jfbc.14324 (2022).
Oishi, K. et al. Wheat alkylresorcinols suppress high-fat, high-sucrose diet-induced obesity and glucose intolerance by increasing insulin sensitivity and cholesterol excretion in male mice 1, 2, 3. J. Nutr. 145, 199–206. https://doi.org/10.3945/jn.114.202754 (2015).
Sun, T. et al. Plasma alkylresorcinol metabolite, a biomarker of whole-grain wheat and rye intake, and risk of type 2 diabetes and impaired glucose regulation in a Chinese population. Diabetes Care 41, 440–445. https://doi.org/10.2337/dc17-1570 (2018).
Smeds, A. I. et al. Quantification of a broad spectrum of lignans in cereals, oilseeds, and nuts. J. Agric. Food Chem. 55, 1337–1346. https://doi.org/10.1021/jf0629134 (2007).
Landete, J. M. Plant and mammalian lignans: A review of source, intake, metabolism, intestinal bacteria and health. Food Res. Int. 46, 410–424. https://doi.org/10.1016/j.foodres.2011.12.023 (2012).
Schakel, S. F., Buzzard, I. M. & Gebhardt, S. E. Procedures for estimating nutrient values for food composition databases. J. Food Compos. Anal. 10, 102–114 (1997).
Ispirova, G., Eftimov, T., Korošec, P. & Seljak, B. K. MIGHT: Statistical methodology for missing-data imputation in food composition databases. Appl. Sci. 9, 4111–4111. https://doi.org/10.3390/app9194111 (2019).
Probst, Y. C., Guan, V. X. & Kent, K. Dietary phytochemical intake from foods and health outcomes: A systematic review protocol and preliminary scoping. BMJ Open 7, e013337. https://doi.org/10.1136/bmjopen-2016-013337 (2017).
Grosso, G., Stepaniak, U., Topor-Madry, R., Szafraniec, K. & Pajak, A. Estimated dietary intake and major food sources of polyphenols in the Polish arm of the HAPIEE study. Nutrition 30, 1398–1403. https://doi.org/10.1016/j.nut.2014.04.012 (2014).
Godos, J., Marventano, S., Mistretta, A., Galvano, F. & Grosso, G. Dietary sources of polyphenols in the Mediterranean healthy eating, aging and lifestyle (MEAL) study cohort. Int. J. Food Sci. Nutr. 68, 750–756. https://doi.org/10.1080/09637486.2017.1285870 (2017).
Perez-Jimenez, J. et al. Dietary intake of 337 polyphenols in French adults. Am. J. Clin. Nutr. 93, 1220–1228. https://doi.org/10.3945/ajcn.110.007096 (2011).
Zujko, M. E., Witkowska, A. M., Waskiewicz, A. & Sygnowska, E. Estimation of dietary intake and patterns of polyphenol consumption in Polish adult population. Adv. Med. Sci. 57, 375–384. https://doi.org/10.2478/v10039-012-0026-6 (2012).
Zamora-Ros, R. et al. Dietary polyphenol intake in Europe: The European prospective investigation into cancer and nutrition (EPIC) study. Eur. J. Nutr. 55, 1359–1375. https://doi.org/10.1007/s00394-015-0950-x (2016).
Pounis, G. et al. Flavonoid and lignan intake in a Mediterranean population: Proposal for a holistic approach in polyphenol dietary analysis, the Moli-sani Study. Eur. J. Clin. Nutr. 70, 338–345. https://doi.org/10.1038/ejcn.2015.178 (2016).
Phenol-Explorer Version 3.6. Methods Used to Create Phenol-Explorer, phenol-explorer.eu/methods_used (2020).
Rothwell, J. A. et al. Phenol-Explorer 3.0: A major update of the Phenol-Explorer database to incorporate data on the effects of food processing on polyphenol content. Database 2013, 070. https://doi.org/10.1093/database/bat070 (2013).
Haytowitz, D. B., Wu, X. & Bhagwat, S. (ed Agricultural Research Service U.S. Department of Agriculture, Nutrient Data Laboratory) (2018).
Bhagwat, S. & Haytowitz, D. B. (Nutrient Data Laboratory, Beltsville Human Nutrition Research Center, ARS, USDA, 2015).
Lanuza, F. et al. Comparison of flavonoid intake assessment methods using USDA and Phenol explorer databases: subcohort diet, cancer and health-next generations: MAX study. Front. Nutr. https://doi.org/10.3389/fnut.2022.873774 (2022).
Milne, R. L. et al. Cohort profile: The Melbourne collaborative cohort study (health 2020). Int. J. Epidemiol. 46, 1757–1757i. https://doi.org/10.1093/ije/dyx085 (2017).
Ireland, P. et al. Development of the Melbourne FFQ: A food frequency questionnaire for use in an Australian prospective study involving an ethnically diverse cohort. Asia Pac. J. Clin. Nutr. 3, 19–31 (1994).
Hodge, A. M. et al. Evaluation of an FFQ for assessment of antioxidant intake using plasma biomarkers in an ethnically diverse population. Public Health Nutr. 12, 2438–2447. https://doi.org/10.1017/S1368980009005539 (2009).
Hodge, A. M. et al. Plasma phospholipid fatty acid composition as a biomarker of habitual dietary fat intake in an ethnically diverse cohort. Nutr. Metab. Cardiovasc. Dis. 17, 415–426. https://doi.org/10.1016/j.numecd.2006.04.005 (2007).
Bassett, J. K. et al. Validity and calibration of the FFQ used in the Melbourne Collaborative Cohort Study. Public Health Nutr 19, 2357–2368. https://doi.org/10.1017/s1368980016000690 (2016).
Hodge, A. M. Diet related predictors of type 2 diabetes in the Melbourne Collaborative Cohort Study. Doctor of Philosophy thesis, University of Melbourne, (2006).
Knaze, V. et al. A new food-composition database for 437 polyphenols in 19,899 raw and prepared foods used to estimate polyphenol intakes in adults from 10 European countries. Am. J. Clin. Nutr. 108, 517–524. https://doi.org/10.1093/ajcn/nqy098 (2018).
Zamora-Ros, R. et al. Dietary intake of total polyphenol and polyphenol classes and the risk of colorectal cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Eur. J. Epidemiol. 33, 1063–1075. https://doi.org/10.1007/s10654-018-0408-6 (2018).
Shewry, P. R. et al. Natural variation in grain composition of wheat and related cereals. J. Agric. Food Chem. 61, 8295–8303. https://doi.org/10.1021/jf3054092 (2013).
Hedelin, M., Lof, M., Sandin, S., Adami, H. O. & Weiderpass, E. Prospective study of dietary phytoestrogen intake and the risk of colorectal cancer. Nutr. Cancer 68, 388–395. https://doi.org/10.1080/01635581.2016.1152380 (2016).
Phenol-Explorer Version 3.6. Phenol-Explorer website. http://phenol-explorer.eu/search (2016).
Milder, I. E. J., Arts, I. C. W., Putte, B. V. D., Venema, D. P. & Hollman, P. C. H. Lignan contents of Dutch plant foods: A database including lariciresinol, pinoresinol, secoisolariciresinol and matairesinol. Br. J. Nutr. 93, 393–402. https://doi.org/10.1079/BJN20051371 (2005).
Kuhnle, G. G. C. et al. Phytoestrogen content of cereals and cereal-based foods consumed in the UK. Nutr. Cancer 61, 302–309. https://doi.org/10.1080/01635580802567141 (2009).
Thompson, L. U., Boucher, B. A., Liu, Z., Cotterchio, M. & Kreiger, N. Phytoestrogen content of foods consumed in Canada, including isoflavones, lignans, and coumestan. Nutr. Cancer 54, 184–201 (2006).
Landberg, R., Kamal-Eldin, A., Andersson, A., Vessby, B. & Åman, P. Alkylresorcinols as biomarkers of whole-grain wheat and rye intake: Plasma concentration and intake estimated from dietary records. Am. J. Clin. Nutr. 87, 832–838. https://doi.org/10.1093/ajcn/87.4.832 (2008).
Mazur, W. et al. Isotope dilution gas chromatographic–mass spectrometric method for the determination of isoflavonoids, coumestrol, and lignans in food samples. Anal. Biochem. 233, 169–180. https://doi.org/10.1006/abio.1996.0025 (1996).
Chen, Y., Ross, A. B., Aman, P. & Kamal-Eldin, A. Alkylresorcinols as markers of whole grain wheat and rye in cereal products. J. Agric. Food Chem. 52, 8242–8246. https://doi.org/10.1021/jf049726v (2004).
Soycan, G. et al. Composition and content of phenolic acids and avenanthramides in commercial oat products: Are oats an important polyphenol source for consumers?. Food Chem. X 3, 100047. https://doi.org/10.1016/j.fochx.2019.100047 (2019).
Pridal, A. A., Böttger, W. & Ross, A. B. Analysis of avenanthramides in oat products and estimation of avenanthramide intake in humans. Food Chem. 253, 93–100. https://doi.org/10.1016/j.foodchem.2018.01.138 (2018).
Shewry, P. R. et al. Phytochemical and fiber components in oat varieties in the HEALTHGRAIN diversity screen. J. Agric. Food Chem. 56, 9777–9784. https://doi.org/10.1021/jf801880d (2008).
Zamora-Ros, R. et al. Dietary intakes and food sources of phytoestrogens in the European prospective investigation into cancer and nutrition (EPIC) 24-hour dietary recall cohort. Eur. J. Clin. Nutr. 66, 932–941. https://doi.org/10.1038/ejcn.2012.36 (2012).
Tetens, I. et al. Dietary intake and main sources of plant lignans in five European countries. Food Nutr. Res. 57, 1 (2013).
Ward, H. A. et al. Breast, colorectal, and prostate cancer risk in the European Prospective Investigation into Cancer and Nutrition-Norfolk in relation to phytoestrogen intake derived from an improved database. Am. J. Clin. Nutr. 91, 440–448. https://doi.org/10.3945/ajcn.2009.28282 (2010).
United States Department of Agriculture (USDA). (U.S. Department of Agriculture, Agricultural Research Service, USDA Nutrient Data Laboratory, 2005).
Cotterchio, M., Boucher, B. A., Kreiger, N., Mills, C. A. & Thompson, L. U. Dietary phytoestrogen intake-lignans and isoflavones-and breast cancer risk (Canada). Cancer Causes Control 19, 259–272. https://doi.org/10.1007/s10552-007-9089-2 (2008).
Slimani, N. et al. The EPIC nutrient database project (ENDB): A first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur. J. Clin. Nutr. 61, 1037–1056. https://doi.org/10.1038/sj.ejcn.1602679 (2007).
Ziauddeen, N. et al. Dietary intake of (poly)phenols in children and adults: cross-sectional analysis of UK National Diet and nutrition survey rolling programme (2008–2014). Eur. J. Nutr. 58, 3183–3198. https://doi.org/10.1007/s00394-018-1862-3 (2018).
Food Standards Australia & New Zealand (FSANZ). Australian Food Composition Database – Release 1 (AFCD-1), 2019).
Pollard, C. M. et al. Consumer attitudes and misperceptions associated with trends in self-reported cereal foods consumption: Cross-sectional study of Western Australian adults, 1995 to 2012. BMC Public Health 17, 597–597. https://doi.org/10.1186/s12889-017-4511-5 (2017).
Mann, K. D., Pearce, M. S., McKevith, B., Thielecke, F. & Seal, C. J. Low whole grain intake in the UK: Results from the National Diet and Nutrition Survey rolling programme 2008–11. Br. J. Nutr. 113, 1643–1651. https://doi.org/10.1017/S0007114515000422 (2015).
Miranda, A. M., Steluti, J., Fisberg, R. M. & Marchioni, D. M. Dietary intake and food contributors of polyphenols in adults and elderly adults of Sao Paulo: A population-based study. Br. J. Nutr. 115, 1061–1070. https://doi.org/10.1017/S0007114515005061 (2016).
Australian Bureau of Statistics. (Commonwealth of Australia, 2008).
Vandenbroucke, J. P. et al. Strengthening the reporting of observational studies in epidemiology (STROBE): Explanation and elaboration. Int. J. Surg. 12, 1500–1524. https://doi.org/10.1016/j.ijsu.2014.07.014 (2014).
Stata MP 16.1 v. Stata MP 16.1 (2020).
Lachat, C. et al. Strengthening the reporting of observational studies in epidemiology-nutritional epidemiology (STROBE-nut): An extension of the STROBE statement. PLoS Med. 13, e1002036. https://doi.org/10.1371/journal.pmed.1002036 (2016).
Saura-Calixto, F., Serrano, J. & Goñi, I. Intake and bioaccessibility of total polyphenols in a whole diet. Food Chem. 101, 492–501. https://doi.org/10.1016/j.foodchem.2006.02.006 (2007).
Australian Bureau of Statistics. National Nutrition Survey Nutrient Intakes and Physical Measurements Australia 1995. Report No. ABS Catalogue No. 4805.0 (1998).
Micha, R. et al. Global, regional and national consumption of major food groups in 1990 and 2010: A systematic analysis including 266 country-specific nutrition surveys worldwide. BMJ Open 5, e008705. https://doi.org/10.1136/bmjopen-2015-008705 (2015).
Galea, L. M., Beck, E. J., Probst, Y. C. & Cashman, C. J. Whole grain intake of Australians estimated from a cross-sectional analysis of dietary intake data from the 2011–13 Australian Health Survey. Public Health Nutr 20, 2166–2172. https://doi.org/10.1017/S1368980017001082 (2017).
Perez-Jimenez, J., Neveu, V., Vos, F. & Scalbert, A. Identification of the 100 richest dietary sources of polyphenols: An application of the Phenol-Explorer database. Eur. J. Clin. Nutr. 64, S112–S120. https://doi.org/10.1038/ejcn.2010.221 (2010).
Xiong, Y., Zhang, P., Warner, R. D. & Fang, Z. Sorghum grain: from genotype, nutrition, and phenolic profile to its health benefits and food applications. Comp. Rev. Food Sci. Food Saf. 18, 2025–2046. https://doi.org/10.1111/1541-4337.12506 (2019).
Donkor, O. N., Stojanovska, L., Ginn, P., Ashton, J. & Vasiljevic, T. Germinated grains-sources of bioactive compounds. Food Chem 135, 950–959. https://doi.org/10.1016/j.foodchem.2012.05.058 (2012).
Lahmann, P. H. et al. Estimated intake of dietary phyto-oestrogens in Australian women and evaluation of correlates of phyto-oestrogen intake. J. Nutr. Sci. 1, e11–e11. https://doi.org/10.1017/jns.2012.11 (2012).
Hanna, K. L., O’Neill, S. & Lyons-Wall, P. M. Intake of isoflavone and lignan phytoestrogens and associated demographic and lifestyle factors in older Australian women. Asia Pac. J. Clin. Nutr. 19, 540–549 (2010).
Nohr, E. A. & Liew, Z. How to investigate and adjust for selection bias in cohort studies. Acta Obstet. Gynecol. Scand. 97, 407–416. https://doi.org/10.1111/aogs.13319 (2018).
Young, L. M., Gauci, S., Scholey, A., White, D. J. & Pipingas, A. Self-selection bias: An essential design consideration for nutrition trials in healthy populations. Front. Nutr. 7, 587983–587983. https://doi.org/10.3389/fnut.2020.587983 (2020).
Shim, J.-S., Oh, K. & Kim, H. C. Dietary assessment methods in epidemiologic studies. Epidemiol. Health 36, e2014009–e2014009. https://doi.org/10.4178/epih/e2014009 (2014).
Hebert, J. R. et al. Gender differences in social desirability and social approval bias in dietary self-report. Am. J. Epidemiol. 146, 1046–1055. https://doi.org/10.1093/oxfordjournals.aje.a009233 (1997).
Miller, T. M., Abdel-Maksoud, M. F., Crane, L. A., Marcus, A. C. & Byers, T. E. Effects of social approval bias on self-reported fruit and vegetable consumption: A randomized controlled trial. Nutr. J. 7, 18. https://doi.org/10.1186/1475-2891-7-18 (2008).
Eysteinsdottir, T. et al. Validity of retrospective diet history: Assessing recall of midlife diet using food frequency questionnaire in later life. J. Nutr. Health Aging 15, 809–814. https://doi.org/10.1007/s12603-011-0067-8 (2011).
Bassett, J. K. et al. Dietary intake of B vitamins and methionine and colorectal cancer risk. Nutr. Cancer 65, 659–667. https://doi.org/10.1080/01635581.2013.789114 (2013).
Hodge, A. M. et al. Dietary and biomarker estimates of fatty acids and risk of colorectal cancer. Int. J. Cancer 137, 1224–1234. https://doi.org/10.1002/ijc.29479 (2015).
English, D. R. et al. Red meat, chicken, and fish consumption and risk of colorectal cancer. Cancer Epidemiol. Biomark. Prev. 13, 1509–1514 (2004).
Cancer Council Victoria, University of Melbourne & PEDIGREE. Health 2020: The Melbourne Collaborative Cohort Study. http://www.pedigree.org.au/pedigree-studies/health2020.aspx (2017).