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Selected nutritional biomarkers predict diet quality

  • Marian L Neuhouser (a1), Ruth E Patterson (a1) (a2), Irena B King (a1), Neilann K Horner (a1) and Johanna W Lampe (a1) (a2)...
Abstract
AbstractObjective:

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.

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Copyright
Corresponding author
*Corresponding author: Email mneuhous@fhcrc.org
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1AK Kant , A Schatzkin , RG Ziegler . 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.

2RE Patterson , PS Haines , BM Popkin . Diet Quality Index: capturing a multidimensional behavior. Journal of the American Dietetic Association 1994; 94: 5764.

3ET Kennedy , J Ohls , S Carlson , K Fleming . The Healthy Eating Index: design and applications. Journal of the American Dietetic Association 1995; 95: 1103–8.

4AK Kant . Indexes of overall diet quality: a review. Journal of the American Dietetic Association 1996; 96: 785–91.

5BM Popkin , AM Siega-Riz , PS Haines . A comparison of dietary trends among racial and socioeconomic groups in the United States. New England Journal of Medicine 1996; 335: 716–20.

6AK Kant , A Schatzkin , BI Graubard , C Schairer . A prospective study of diet quality and mortality in women. Journal of the American Medical Association 2000; 283: 2109–15.

8C Zhang , MA Williams , SE Sanchez , IB King , S Ware-Jauregui , G Larrabure , . Plasma concentrations of carotenoids, retinol and tocopherols in preelamptic and normotensive women. American Journal of Epidemiology 2001; 153: 572–80.

12A Rajkovic , K Mohamed , R Rozen , MR Malinow , IB King , MA Williams . 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.

14JA Satia , RE Patterson , R Herrero , F Jin , Q Dai , IB King , Study of diet, biomarkers and cancer risk in the United States, China and Costa Rica. International Journal of Cancer 1999; 82: 2832.

15RE Patterson , AR Kristal , L Tinker , RA Carter , MP Bolton , T Agurs-Collins . Measurement characteristics of the Women's Health Initiative food frequency questionnaire. Annals of Epidemiology 1999; 9: 178–87.

16SF Schakel , IM Buzzard , SE Gebhardt . Procedures for estimating nutrient values for food composition databases. Journal of Food Composition and Analysis 1997; 10: 102–14.

20ML Neuhouser , RE Patterson , AR Kristal , CL Rock , D Neumark-Sztainer , MD Thornquist , Do consumers of savory snacks have poor quality diets? Journal of the American Dietetic Association 2000; 100: 576–9.

28K Glanz , M Basil , E Maibach , J Goldberg , D Snyder . 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.

29AR Kristal , RE Patterson , K Glanz , J Heimendinger , JR Hebert , Z Feng , Psychosocial correlates of healthful diets: baseline results from the Working Well Study. Preventive Medicine 1995; 24: 221–8.

33MJ Gerber , JD Scali , A Michaud , MD Durand , CM Astre , J Dallongeville , 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.

38MT Clandinin , SL Cook , SD Konard , MA French . The effect of palmitic acid on lipoprotein cholesterol levels. International Journal of Food Sciences and Nutrition 2000; 51: S61–71.

39V Kipnis , D Midthune , LS Freedman , S Bingham , A Schatzkin , A Subar , Empirical evidence of correlated biases in dietary assessment instruments and its implications. American Journal of Epidemiology 2001; 153: 394403.

40V Kipnis , RJ Carroll , LS Freedman , L Li . 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.

41RL Prentice . Measurement error and results from analytic epidemiology: dietary fat and breast cancer. Journal of the National Cancer Institute 1996; 88: 1738–47.

45W Willett . Nutritional Epidemiology, 2nd ed. New York: Oxford University Press, 1998.

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Public Health Nutrition
  • ISSN: 1368-9800
  • EISSN: 1475-2727
  • URL: /core/journals/public-health-nutrition
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