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Evaluation of a simplified vitamin supplement inventory developed for the Women's Health Initiative

Published online by Cambridge University Press:  02 January 2007

Ruth E Patterson ,
Lisa Levy ,
Lesley Fels Tinker  and
Alan R Kristal
Ruth E Patterson*
Affiliation:
Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
Lisa Levy
Affiliation:
Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
Lesley Fels Tinker
Affiliation:
Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
Alan R Kristal
Affiliation:
Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
*
*Corresponding author: Email rpatters@fhcrc.org
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Abstract

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Objective

To evaluate the accuracy of a simplified inventory procedure for assessing nutrient intake from vitamin and mineral supplements.

Design

Participants brought their supplements to a clinic. An interviewer conducted the supplement inventory procedure, which consisted of recording data on the type of multiple vitamin and single supplements used. For the multiple vitamins, the interviewer recorded the exact dose for a subset of nutrients (vitamin C, calcium, selenium). For other nutrients, we imputed the dose in multiple vitamins. The dose of all single supplements was recorded. Labels of the supplements were photocopied and we transcribed the exact nutrient label data for the criterion measure. Spearman correlation coefficients were used to assess precision of nutrient intakes from the simplified inventory compared to the criterion measure.

Setting/subjects

Data are from 104 adult vitamin supplement users in Washington state.

Results

Correlation coefficients between nutrient intake estimated from the simplified inventory compared to the criterion measure were high (0.8–1.0) for those nutrients (vitamin C, calcium, selenium) for which the interviewer recorded the exact dose contained in multiple vitamins. However, for nutrients for which imputations were made regarding dose in multiple vitamins, correlation coefficients ranged from good (0.8 for vitamin E) to poor (0.3 for iron).

Conclusions

The simplified inventory is rapid (4–5 min) and practical for large-scale studies. The precision of nutrient estimates using this procedure was variable, although excellent for the subset of nutrients for which the dose was recorded exactly. This study illustrates many of the challenges of collecting high quality supplement data.

Keywords

Epidemiological methodsNutrition assessmentQuestionnairesVitamins
Type
Research Article
Information
Public Health Nutrition , Volume 2 , Issue 3 , March 1999 , pp. 273 - 276
Copyright
Copyright © CABI Publishing 1999

References

1Patterson, RE, White, E, Kristal, AR, Neuhouser, ML, Potter, JD. Vitamin supplements and cancer risk: a review of the epidemiologic evidence. Cancer Causes Control 1997; 8: 786–802.CrossRefGoogle Scholar
2Losonczy, KG, Harris, TB, Havlik, RJ. Vitamin E and vitamin C supplement use and risk of all-cause and coronary heart disease mortality in older persons: the Established Populations for Epidemiologic Studies of the Elderly. Am. J. Clin. Nutr. 1996; 64: 190–6.CrossRefGoogle ScholarPubMed
3Reid, IR, Ames, RW, Evans, MC, Gamble, GD, Sharpe, SJ. Effect of calcium supplementation on bone loss in postmenopausal women. N. Engl. J. Med. 1993; 328: 460–4.CrossRefGoogle Scholar
4Patterson, RE, Kristal, AR, Carter, RA, Fels-Tinker, L, Bolton, MPAgurs-Collins, T. Measurement characteristics of the Women's Health Initiative food frequency questionnaire. Ann. Epidemiol. 1999; 9: 178–97.CrossRefGoogle ScholarPubMed
5Block, G, Sinha, R, Gridley, G. Collection of dietary supplement data and implications for analysis. Am. J. Clin. Nutr. 1994; 59 (Suppl.): S232–9.CrossRefGoogle ScholarPubMed
6Park, YK, Kim, I, Yetley, EA. Characteristics of vitamin and mineral supplement products in the United States. Am. J. Clin. Nutr. 1991; 54: 750–9.CrossRefGoogle ScholarPubMed
7Block, G, Hartman, AM. Dietary assessment methods. In: Moon, TE, Micozzi, MS, eds. Nutrition and Cancer Prevention. Investigating the Role of Micronutrients. New York: Marcel Dekker, 1989: 159–60.Google Scholar
8Rossouw, JE, Finnegan, LP, Harlan, WR, Pinn, VW, Clifford, C, McGowan, JA. The evolution of the Women's Health Initiative: perspectives from the NIH. J. Am. Med. Womens Assoc. 1995; 50(2): 50–5.Google ScholarPubMed
9Tinker, LF, Burrows, ER, Henry, H, Patterson, RE, Rupp, J, Van Horn, L. The Women's Health Initiative: overview of the nutrition components. In: Kris, Etherton P, Krummel, D, eds. Nutrition and Women's Health. Frederick, MD: Aspen Publishers, 1996: 510–42.Google Scholar
10Kristal, AR, Levy, L, Patterson, RE, Li, SS, White, E. Trends in food label use associated with new nutrition labeling regulations. Am. J. Public Health 1998; 88: 1212–15.CrossRefGoogle ScholarPubMed
11Physicians' Desk Reference for Nonprescription Drugs, 17th edn.Montvale, NJ: Medical Economics Data Publication Co., 1996.Google Scholar
12Kristal, AR, Patterson, RE, Neuhouser, ML, et al. The Olestra Post-Marketing Surveillance Study: design and baseline results from the sentinel site. J. Am. Diet. Assoc. 1998; 98: 1290–6.CrossRefGoogle Scholar
13Armstrong, BK, White, E, Saracci, R. Principles of Exposure Measurement in Epidemiology. Monographs in Epidemiology and Biostatistics, Vol. 21. Oxford: Oxford University Press, 1994.Google Scholar