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Selected nutritional biomarkers predict diet quality

Published online by Cambridge University Press:  22 December 2006

Marian L Neuhouser ,
Ruth E Patterson ,
Irena B King ,
Neilann K Horner  and
Johanna W Lampe
Marian L Neuhouser*
Affiliation:
Cancer Prevention, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, POB 19024, MP-702, Seattle, WA 98109-1024, USA
Ruth E Patterson
Affiliation:
Cancer Prevention, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, POB 19024, MP-702, Seattle, WA 98109-1024, USA Department of Epidemiology and Program in Nutritional Sciences, School of Public Health and Community Medicine, University of Washington, Seattle, WA, USA
Irena B King
Affiliation:
Cancer Prevention, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, POB 19024, MP-702, Seattle, WA 98109-1024, USA
Neilann K Horner
Affiliation:
Cancer Prevention, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, POB 19024, MP-702, Seattle, WA 98109-1024, USA
Johanna W Lampe
Affiliation:
Cancer Prevention, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, POB 19024, MP-702, Seattle, WA 98109-1024, USA Department of Epidemiology and Program in Nutritional Sciences, School of Public Health and Community Medicine, University of Washington, Seattle, WA, USA
*
*Corresponding author: Email mneuhous@fhcrc.org
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Abstract

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Objective:

To examine associations of biomarkers of nutrient intake with overall diet quality.

Subjects:

A convenience sample of 102 healthy postmenopausal women in Seattle, Washington (USA).

Design and method:

Participants attended a study centre where they provided fasting blood specimens and completed a 122-item validated food-frequency questionnaire (FFQ). Data from the FFQ were used to calculate Diet Quality Index (DQI) scores and categorise women as having diets of excellent, good, fair or poor quality. The blood specimens were analysed for nine phospholipid fatty acids (as percentage of total) and serum concentrations of vitamin C, α-tocopherol, γ-tocopherol, vitamin B12, folate and six carotenoids. Multivariate linear regression was used to model associations of the nutrient biomarkers with DQI scores.

Results:

Compared with women with poor-quality diets, women with excellent diets, as measured by the DQI, had higher plasma concentrations of vitamin C (P for trend = 0.01), α-tocopherol (P for trend = 0.02) and β-cryptoxanthin (P for trend = 0.03). Women with excellent diets also had lower proportions of plasma phospholipid fatty acids of two potentially atherogenic fatty acids: stearic acid (P for trend = 0.01) and behenic acid (P for trend = 0.03). A group of six biomarkers explained a moderate proportion of the total variability in DQI scores (36%).

Conclusions:

These objective measures of dietary intake support the use of the DQI as a useful tool to measure dietary patterns.

Keywords

Plasma biomarkersVitaminsFatsDiet qualityCarotenoidsVitamin CVitamin E

Information

Type
Research Article
Information
Public Health Nutrition , Volume 6 , Issue 7 , October 2003 , pp. 703 - 709
Copyright
Copyright © CABI Publishing 2003

References

1Kant, AK, Schatzkin, A, Ziegler, RG. Dietary diversity and subsequent cause-specific mortality in the NHANES I epidemiologic follow-up study. Journal of the American College of Nutrition 1995; 14: 233–8.CrossRefGoogle ScholarPubMed
2Patterson, RE, Haines, PS, Popkin, BM. Diet Quality Index: capturing a multidimensional behavior. Journal of the American Dietetic Association 1994; 94: 57–64.CrossRefGoogle ScholarPubMed
3Kennedy, ET, Ohls, J, Carlson, S, Fleming, K. The Healthy Eating Index: design and applications. Journal of the American Dietetic Association 1995; 95: 1103–8.CrossRefGoogle ScholarPubMed
4Kant, AK. Indexes of overall diet quality: a review. Journal of the American Dietetic Association 1996; 96: 785–91.CrossRefGoogle ScholarPubMed
5Popkin, BM, Siega-Riz, AM, Haines, PS. A comparison of dietary trends among racial and socioeconomic groups in the United States. New England Journal of Medicine 1996; 335: 716–20.CrossRefGoogle ScholarPubMed
6Kant, AK, Schatzkin, A, Graubard, BI, Schairer, C. A prospective study of diet quality and mortality in women. Journal of the American Medical Association 2000; 283: 2109–15.CrossRefGoogle ScholarPubMed
7McCullough, ML, Feskanich, D, Stampfer, MJ, Rosner, BA, Hu, FB, Hunter, DJ, et al. Adherence to the Dietary Guidelines for Americans and risk of major chronic disease in women. American Journal of Clinical Nutrition 2000; 72: 1223–31.CrossRefGoogle Scholar
8Zhang, C, Williams, MA, Sanchez, SE, King, IB, Ware-Jauregui, S, Larrabure, G, et al. . Plasma concentrations of carotenoids, retinol and tocopherols in preelamptic and normotensive women. American Journal of Epidemiology 2001; 153: 572–80.CrossRefGoogle Scholar
9Kalman, DA, Goodman, GE, Omenn, GS, Bellamy, G, Rollins, B. Micronutrient assay for cancer prevention clinical trials: serum retinol, retinyl palmitate, alpha-carotene and beta-carotene with the use of high-performance liquid chromatography. Journal of the National Cancer Institute 1987; 79: 975–82.Google ScholarPubMed
10Lee, W, Roberts, SM, Labbe, RF. Ascorbic acid determination with an automated enzymatic procedure. Clinical Chemistry 1997; 43: 154–7.CrossRefGoogle ScholarPubMed
11Gunther, EW, Bowman, BA, Caudill, SP, Twit, DB, Adams, MJ, Sampson, EJ. Results of an international round robin for serum and whole blood folate. Clinical Chemistry 1996; 43: 1689–94.CrossRefGoogle Scholar
12Rajkovic, A, Mohamed, K, Rozen, R, Malinow, MR, King, IB, Williams, MA. Methylenetetrahydrofolate reductase 667C → T polymorphism, plasma folate vitamin B12 concentrations and risk of preeclampsia among black African women from Zimbabwe. Molecular Genetics and Metabolism 2000; 69: 33–9.CrossRefGoogle Scholar
13Folch, J, Lees, M, Sloane, GH. A simple method for isolation and purification of total lipids from animal tissues. Journal of Biological Chemistry 1957; 226: 497.CrossRefGoogle ScholarPubMed
14Satia, JA, Patterson, RE, Herrero, R, Jin, F, Dai, Q, King, IB, et al. Study of diet, biomarkers and cancer risk in the United States, China and Costa Rica. International Journal of Cancer 1999; 82: 28–32.3.0.CO;2-X>CrossRefGoogle ScholarPubMed
15Patterson, RE, Kristal, AR, Tinker, L, Carter, RA, Bolton, MP, Agurs-Collins, T. Measurement characteristics of the Women's Health Initiative food frequency questionnaire. Annals of Epidemiology 1999; 9: 178–87.CrossRefGoogle ScholarPubMed
16Schakel, SF, Buzzard, IM, Gebhardt, SE. Procedures for estimating nutrient values for food composition databases. Journal of Food Composition and Analysis 1997; 10: 102–14.CrossRefGoogle Scholar
17Kristal, AR, Shattuck, AL, Williams, AE. Food frequency questionnaires for diet intervention research. In: 17th National Nutrient Databank Conference. Baltimore, MD: International Life Sciences Institute, 1992; 110–25.Google Scholar
18Patterson, RE, Levy, L, Fels-Tinker, L, Kristal, AR. Validity of a simplified vitamin supplement inventory procedure developed for the Women's Health Initiative. Public Health Nutrition 1999; 2: 273–6.CrossRefGoogle Scholar
19National Research Council, Committee on Diet and Health, Food and Nutrition Board, Commission in Life Sciences. Diet and Health: Implications for Reducing Chronic Disease Risk. Washington, DC: National Academy of Sciences, 1989.Google Scholar
20Neuhouser, ML, Patterson, RE, Kristal, AR, Rock, CL, Neumark-Sztainer, D, Thornquist, MD, et al. Do consumers of savory snacks have poor quality diets? Journal of the American Dietetic Association 2000; 100: 576–9.CrossRefGoogle ScholarPubMed
21The Expert Panel. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: executive summary. American Journal of Clinical Nutrition. 1998; 68: 899–917.CrossRefGoogle Scholar
22Raatz, SK, Bibus, D, Thomas, W, Kris-Etherton, P. Total fat intake modifies fatty acid composition in humans. Journal of Nutrition 2001; 131: 231–4.CrossRefGoogle ScholarPubMed
23Kohlmeier, L. Biomarkers of fatty acid exposure and breast cancer risk. American Journal of Clinical Nutrition 1997; 66: 1548S–56S.CrossRefGoogle ScholarPubMed
24Jiang, Q, Christen, S, Shigenaga, MK, Ames, BN. γ-Tocopherol, the major form of vitamin E in the US diet, deserves more attention. American Journal of Clinical Nutrition 2001; 74: 714–22.CrossRefGoogle ScholarPubMed
25Hu, FB, Stampfer, MJ, Manson, JE, Ascherio, A, Colditz, GA, Speizer, FE, et al. Dietary saturated fats and their food sources in relation to the risk of coronary heart disease in women. American Journal of Clinical Nutrition 1999; 70: 1001–8.CrossRefGoogle Scholar
26Cater, NB, Denke, MA. Behenic acid is a cholesterol-raising saturated fatty acid in humans. American Journal of Clinical Nutrition 2001; 73: 41–4.CrossRefGoogle ScholarPubMed
27Murphy, SP, Rose, D, Hudes, M, Viteri, FE. Demographic and economic factors associated with dietary quality for adults in the 1987 – 1988 Nationwide Food Consumption Survey. Journal of the American Dietetic Association 1992; 92: 1352–7.CrossRefGoogle Scholar
28Glanz, K, Basil, M, Maibach, E, Goldberg, J, Snyder, D. Why Americans eat what they do: taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption. Journal of the American Dietetic Association 1998; 98: 1118–26.CrossRefGoogle ScholarPubMed
29Kristal, AR, Patterson, RE, Glanz, K, Heimendinger, J, Hebert, JR, Feng, Z, et al. Psychosocial correlates of healthful diets: baseline results from the Working Well Study. Preventive Medicine 1995; 24: 221–8.CrossRefGoogle ScholarPubMed
30Denke, MA, Grundy, SM. Comparison of effects of lauric acid and palmitic acid in serum lipid and lipoprotein levels. American Journal of Clinical Nutrition 1992; 56: 895–8.CrossRefGoogle Scholar
31Hann, CS, Rock, CL, King, I, Drewnowski, A. Validation of the Healthy Eating Index with use of plasma biomarkers in a clinical sample of women. American Journal of Clinical Nutrition 2001; 74: 479–86.CrossRefGoogle Scholar
32Fung, TT, Rimm, EB, Spiegelman, D, Rifai, N, Tofler, GH, Willett, WC, et al. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular risk. American Journal of Clinical Nutrition 2001; 73: 61–7.CrossRefGoogle Scholar
33Gerber, MJ, Scali, JD, Michaud, A, Durand, MD, Astre, CM, Dallongeville, J, et al. Profiles of a healthful diet and its relationship to biomarkers in a population sample from Mediterranean southern France. Journal of the American Dietetic Association 2000; 100: 1164–71.CrossRefGoogle Scholar
34Armstrong, BK, White, E, Saracci, R. Principles of Exposure Measurement in Epidemiology. Oxford: Oxford University Press, 1992.CrossRefGoogle Scholar
35Rock, CL, Thornquist, MD, Kristal, AR, Patterson, RE, Cooper, D, Neuhouser, ML, et al. Demographic and lifestyle variables differentially explain variability in serum carotenoids and fat-soluble vitamins: baseline results from the Olestra Post-Marketing Surveillance Study. Journal of Nutrition 1999; 129: 855–64.CrossRefGoogle ScholarPubMed
36Brady, WE, Mares-Perlman, JA, Bowen, P, Stacewicz-Sapuntzakis, M. Human serum carotenoids concentrations are related to physiologic and lifestyle factors. Journal of Nutrition 1996; 126: 129–37.CrossRefGoogle ScholarPubMed
37Yu, S, Derr, J, Etherton, TD, Kris-Etherton, PM. Plasma cholesterol-predictive equations demonstrate that stearic acid is neutral and monounsaturated fatty acids are hypocholesterolemic. American Journal of Clinical Nutrition 1995; 61: 1129–39.CrossRefGoogle ScholarPubMed
38Clandinin, MT, Cook, SL, Konard, SD, French, MA. The effect of palmitic acid on lipoprotein cholesterol levels. International Journal of Food Sciences and Nutrition 2000; 51: S61–71.CrossRefGoogle ScholarPubMed
39Kipnis, V, Midthune, D, Freedman, LS, Bingham, S, Schatzkin, A, Subar, A, et al. Empirical evidence of correlated biases in dietary assessment instruments and its implications. American Journal of Epidemiology 2001; 153: 394–403.CrossRefGoogle ScholarPubMed
40Kipnis, V, Carroll, RJ, Freedman, LS, Li, L. Implications of a new dietary measurement error model for estimation of relative risk: application to four calibration studies. American Journal of Epidemiology 1999; 150: 642–51.CrossRefGoogle ScholarPubMed
41Prentice, RL. Measurement error and results from analytic epidemiology: dietary fat and breast cancer. Journal of the National Cancer Institute 1996; 88: 1738–47.CrossRefGoogle ScholarPubMed
42Prentice, RL, Sugar, E, Wang, CY, Neuhouser, ML, Patterson, RE. Research strategies and the use of nutrient biomarkers in studies of diet and chronic disease. Public Health Nutrition 2002; 5: 977–84.CrossRefGoogle ScholarPubMed
43Kaaks, RJ. Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measurements: conceptual issues. American Journal of Clinical Nutrition 1997; 65: 1232S–9S.CrossRefGoogle ScholarPubMed
44Van het hof, KH, West, CE, Weststrate, JA, Hautvast, JG. Dietary factors that affect the bioavailability of carotenoids. Journal of Nutrition 2000; 130: 503–6.CrossRefGoogle ScholarPubMed
45Willett, W. Nutritional Epidemiology, 2nd ed. New York: Oxford University Press, 1998.CrossRefGoogle Scholar