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In defence of phytochemical-rich dietary patterns

Published online by Cambridge University Press:  18 March 2010

Nicola M. McKeown
Affiliation:
JM USDA HNRCA at Tufts University, 711 Washington Street, Boston, MA02111, USA, fax +1 617 556 3344 email [email protected]
David R. Jacobs Jr
Affiliation:
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S 2nd Street, Suite 300, Minneapolis, MN55454, USA, fax +1 612 624 0315
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Abstract

Type
Invited Commentary
Copyright
Copyright © The Authors 2010

There is widespread acceptance that consuming whole grains is good for overall health(1). Evidence from epidemiological cohort studies suggests that greater whole-grain consumption is inversely related to total mortality, CVD and other diseases(Reference Jacobs and Gallaher2). Several observational studies also find that whole-grain consumption is inversely related to CVD risk factors, including excess body weight, abdominal obesity, hypercholesterolaemia and insulin resistance(Reference McKeown, Yoshida and Shea3, Reference Lutsey, Jacobs and Kori4). Some whole-grain supplement or feeding studies, which have varied in duration from weeks to months, support a beneficial effect of whole-grain consumption(Reference Pereira, Jacobs and Pins5Reference Katcher, Legro and Kunselman8), while others do not(Reference Andersson, Tengblad and Karlstrom9, Reference Jenkins, Kendall and Augustin10).

In this issue of the British Journal of Nutrition, Brownlee et al. (Reference Brownlee, Moore and Chatfield11) present data from a large-scale intervention study that examined the effect of supplemental wholegrain foods on CVD risk factors in 316 overweight adults. Across the 16-week intervention, no significant improvements were observed in blood lipids, insulin sensitivity, inflammatory status, coagulation status, endothelial function, or blood pressure. Despite the many strengths of this study – the large sample size, the intervention length, and the intervention itself, which involved increasing whole-grain intake in non-consumers to approximately four to eight servings/d – the authors nevertheless observed no significant improvements in risk factors. With all these strengths, why were no changes observed in CVD risk factors?

First, concerning compliance with the intended study protocol, it appears that participants included wholegrain foods as additions, rather than substitutions, to their regular diets. Such a problem is not unique to this type of study; others have observed compliance difficulties in dietary regimens in free-living conditions. For instance, in a study designed to test whether consuming wholegrain foods in a hypoenergetic diet enhanced weight loss and improved CVD risk factors(Reference Katcher, Legro and Kunselman8), the initial nine study participants averaged only a 7 kcal (about 29 kJ) deficit from baseline, leading to 1·0 kg weight loss. When investigators emphasised to the subsequent fifteen participants to avoid refined grains and include only whole grains, participants averaged a 430 kcal (about 1800 kJ) deficit from baseline and a 5·3 kg weight loss. Thus, adding wholegrain foods while failing to compensate by omitting other foods may have affected the findings in Brownlee et al. (Reference Brownlee, Moore and Chatfield11).

Second, the 60 g and 120 g whole-grain intervention groups did not gain weight, despite increased reported average daily energy intake of approximately 900 and 650 kJ/d, respectively, relative to the control group. Assuming 32 238 kJ intake per kg body-fat gain, body-weight increases of 2–3 kg over 16 weeks were expected, yet no differences in body weight were observed(Reference Brownlee, Moore and Chatfield11). While unreliable energy intake estimates from self-report FFQ could be an issue, it is possible that decreases in several risk factors related to whole-grain intake would have been observed if the interventions had been isoenergetic.

Third, this study was specifically designed to test the impact of increasing whole-grain intake in overweight or obese (mean BMI 30 kg/m2) individuals who habitually consume refined grains, but who are otherwise relatively healthy (i.e. participants had no previous diagnosis of CVD or diabetes, and were not taking lipid-lowering medication). The question then becomes whether improvements in risk factors would have been observed if the participants had more pronounced metabolic abnormalities, such as hyperinsulinaemia or dyslipidaemia. Many metabolic risk factors improved in a large sample of older individuals with diabetes or CVD after supplementation of a Mediterranean diet with extra-virgin olive oil or tree nuts (walnuts, hazelnuts and almonds)(Reference Estruch, Martínez-González and Corella12Reference Salas-Salvadó, Fernández-Ballart and Ros14); like whole grains, these foods are phytochemical-rich. Similarly, isoenergetic replacement of refined rice with whole grains and other plant products in powdered form improved risk factors in Koreans with CHD(Reference Jang, Lee and Kim6). These studies suggest that risk profiles of ‘at-risk’ individuals can be ameliorated through intake of phytochemical-rich foods or diets. It is possible that more pronounced effects of increasing whole grains would be observed in individuals with more severe metabolic challenges.

The epidemiological observational studies of whole-grain intake are numerous(Reference Jacobs and Gallaher2), consistent and impressive: whole grains appear to benefit health. Yet it is impossible to declare unequivocally that the observed benefits of whole grains are due to the whole grains per se, and not due to ‘the company they keep’. For example, individuals who eat more wholegrain foods tend to live healthier lifestyles and choose healthier foods(Reference McKeown, Yoshida and Shea3, Reference Lutsey, Jacobs and Kori4). As such, characteristics such as physical activity, smoking, socio-economic status and other dietary components are typically accounted for in observational studies, but residual confounding is nevertheless possible(Reference Kelly, Summerbell and Brynes15Reference Priebe, van Binsbergen and de Vos17). However, observational studies of dietary patterns and clinical outcomes(Reference Hu, Rimm and Stampfer18Reference Lockheart, Steffen and Rebnord22) may have less potential for residual confounding because dietary patterns include a wide variety of dietary behaviours. It follows that dietary or lifestyle confounding that might exist in nutrient- or food-specific studies, such as those investigating whole grains, may be minimised in studies of dietary patterns. In these types of studies, we consistently observe that certain patterns (typically called Mediterranean or ‘prudent’, and typically heavily weighting whole grains) are linked with fewer clinical events, while alternative, less healthy patterns (typically called Western) are linked with more clinical events. Mediterranean or prudent dietary patterns seem to emphasise quantity, abundance, and variety of biologically active phytochemicals, while the Western pattern seems to be oriented towards high animal food intake. These studies of dietary pattern are very attractive in terms of translating dietary recommendations because they capture the way food is eaten – in great variety, several times a day, throughout the lifetime. Furthermore, individual components in foods and individual foods in dietary patterns are likely to act synergistically(Reference Jacobs, Gross and Tapsell23). This synergy would seem to be especially pertinent for wholegrain foods, which contain a wide variety of biologically active constituents that are intentionally discarded in the refining process.

Randomised controlled trials (RCT) of foods or nutrients are considered insufficient to answer all the questions that need to be answered. RCT work well embedding a drug in a pill that can be mirrored in a placebo, with replication in different populations over long time frames. On the other hand, testing foods in RCT is much more difficult for several reasons: (i) ‘no exposure’ is typically not a possibility – everyone is exposed to some extent; (ii) the study requires a high degree of compliance, a large sample size and a long duration; and (iii) disease events, as outcomes, are rarely possible. Diet is not the same as treatment with isolated compounds found in diet(24, Reference Ebbing, Bønaa and Nygård25). While it would be imprudent not to consider results of RCT of foods and nutrients as we try to further understand their effects on intermediate risk factors, disease and health, it is important that we carefully interpret and recognise the power of observational cohort studies.

Do these new findings(Reference Brownlee, Moore and Chatfield11) ‘put a halt to our gallop’? Should we question the established belief of many nutrition and scientific experts that increasing whole-grain intake to three or more servings/d has a substantial and positive impact on health? Brownlee et al. (Reference Brownlee, Moore and Chatfield11) are reluctant to draw this conclusion. They suggest instead a note of caution concerning specific health claims. Nevertheless, we agree with them that their finding ‘does not undermine more general efforts to promote whole grains as part of a healthy diet for the general population across the life course, based on data from observational studies’. The concept of phytochemical-rich dietary patterns, in which whole grains are a natural fit, is an attractive paradigm on which to base dietary recommendations for the public. For now, let's hedge our bets with variety and abundance in whole grains as well as in other phytochemical-rich plant foods.

Conflicts of interest

N. M. M. holds research funding from the General Mills Bell Institute of Health. D. R. J. is an unpaid member of the Scientific Advisory Board of the California Walnut Commission.

References

1 United States Department of Health and Human Services & United States Department of Agriculture (2005) Dietary Guidelines for Americans, 6th ed. Washington, DC: US Government Printing Office.Google Scholar
2 Jacobs, DR & Gallaher, DD (2004) Whole grain intake and cardiovascular disease: a review. Curr Atheroscler Rep 6, 415423.Google Scholar
3 McKeown, NM, Yoshida, M, Shea, MK, et al. (2009) Whole-grain intake and cereal fiber are associated with lower abdominal adiposity in older adults. J Nutr 139, 19501955.CrossRefGoogle ScholarPubMed
4 Lutsey, PL, Jacobs, DR, Kori, S, et al. (2007) Whole grain intake and its cross-sectional association with obesity, insulin resistance, inflammation, diabetes and subclinical CVD: The MESA Study. Br J Nutr 98, 397405.CrossRefGoogle ScholarPubMed
5 Pereira, MA, Jacobs, DR, Pins, JJ, et al. (2002) Effect of whole grains on insulin sensitivity in overweight hyperinsulinemic adults. Am J Clin Nutr 75, 848855.CrossRefGoogle ScholarPubMed
6 Jang, Y, Lee, JH, Kim, OY, et al. (2001) Consumption of whole grain and legume powder reduces insulin demand, lipid peroxidation, and plasma homocysteine concentrations in patients with coronary artery disease: randomized controlled clinical trial. Arterioscler Thromb Vasc Biol 21, 20652071.CrossRefGoogle ScholarPubMed
7 Behall, KM, Scholfield, DJ & Hallfrisch, J (2006) Whole-grain diets reduce blood pressure in mildly hypercholesterolemic men and women. J Am Diabet Assoc 106, 14451449.CrossRefGoogle ScholarPubMed
8 Katcher, HI, Legro, RS, Kunselman, AR, et al. (2008) The effects of a whole grain-enriched hypocaloric diet on cardiovascular disease risk factors in men and women with metabolic syndrome. Am J Clin Nutr 87, 7990.CrossRefGoogle ScholarPubMed
9 Andersson, A, Tengblad, S, Karlstrom, B, et al. (2007) Whole-grain foods do not affect insulin sensitivity or markers of lipid peroxidation and inflammation in healthy, moderately overweight subjects. J Nutr 137, 14011407.CrossRefGoogle ScholarPubMed
10 Jenkins, DJ, Kendall, CW, Augustin, LS, et al. (2002) Effect of wheat bran on glycemic control and risk factors for cardiovascular disease in type 2 diabetes. Diabetes Care 25, 15221528.CrossRefGoogle ScholarPubMed
11 Brownlee, IA, Moore, C, Chatfield, M, et al. (2010) Markers of cardiovascular risk are not changed by increased whole-grain intake: the WHOLEheart study, a randomised, controlled dietary intervention. Br J Nutr 104, 125134.CrossRefGoogle Scholar
12 Estruch, R, Martínez-González, MA, Corella, D, et al. (2006) Effects of a Mediterranean-style diet on cardiovascular risk factors: a randomized trial. Ann Intern Med 145, 111.CrossRefGoogle ScholarPubMed
13 Fitó, M, Guxens, M, Corella, D, et al. (2007) Effect of a traditional Mediterranean diet on lipoprotein oxidation: a randomized controlled trial. Arch Intern Med 167, 11951203.CrossRefGoogle ScholarPubMed
14 Salas-Salvadó, J, Fernández-Ballart, J, Ros, E, et al. (2008) Effect of a Mediterranean diet supplemented with nuts on metabolic syndrome status: one-year results of the PREDIMED randomized trial. Arch Intern Med 168, 24492458.Google Scholar
15 Kelly, SAM, Summerbell, CD & Brynes, A, et al. (2007) Wholegrain cereals for coronary heart disease. The Cochrane Database of Systematic Reviews 2007, issue 2, CD005051. http://www.mrw.interscience.wiley.com/cochrane/clsysrev/articles/CD005051/frame.html.CrossRefGoogle Scholar
16 Life Sciences Research Office (2008) Whole Grain Intake and Cardiovascular Disease and Whole Grain Intake and Diabetes: A Review. Bethesda, MD: Life Sciences Research Office.Google Scholar
17 Priebe, MG, van Binsbergen, JJ & de Vos, R, et al. (2008) Whole grain foods for the prevention of type 2 diabetes mellitus. The Cochrane Database of Systematic Reviews 2008, issue 1, CD006061. http://www.mrw.interscience.wiley.com/cochrane/clsysrev/articles/CD006061/frame.html.CrossRefGoogle Scholar
18 Hu, FB, Rimm, EB, Stampfer, MJ, et al. (2000) Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 72, 912921.CrossRefGoogle ScholarPubMed
19 Kant, AK (2004) Dietary patterns and health outcomes. J Am Diet Assoc 104, 615635.Google Scholar
20 Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.Google Scholar
21 Schulze, MB & Hoffmann, K (2006) Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke. Br J Nutr 95, 860869.CrossRefGoogle ScholarPubMed
22 Lockheart, MS, Steffen, LM, Rebnord, HM, et al. (2007) Dietary patterns, food groups and myocardial infarction: a case–control study. Br J Nutr 98, 380387.CrossRefGoogle ScholarPubMed
23 Jacobs, DR Jr, Gross, MD & Tapsell, LC (2009) Food synergy: an operational concept for understanding nutrition. Am J Clin Nutr 89, 1543S1548S.CrossRefGoogle ScholarPubMed
24 Anonymous (1994) The effect of vitamin E and beta carotene on the incidence of lung cancer and other cancers in male smokers. The Alpha-Tocopherol, Beta Carotene Cancer Prevention Study Group. N Engl J Med 330, 10291035.CrossRefGoogle Scholar
25 Ebbing, M, Bønaa, KH, Nygård, O, et al. (2009) Cancer incidence and mortality after treatment with folic acid and vitamin B12. JAMA 302, 21192126.CrossRefGoogle ScholarPubMed