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J Am Diet Assoc. 1996 Dec;96(12):1271-5.

Influence of using different sources of carotenoid data in epidemiologic studies.

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  • 1Department of Nutritional Sciences, University of Wisconsin-Madison 53705-2397, USA.

Abstract

OBJECTIVE:

This study compared distributions of carotenoid intake and diet-serum correlations using two sources of carotenoid data: the US Department of Agriculture-National Cancer Institute (USDA-NCI) carotenoid food composition database and values accompanying the Block-NCI Health Habits and History Questionnaire (HHHQ).

DESIGN AND SUBJECTS:

A 100-item food frequency questionnaire was used to collect dietary data from 2,152 adults, aged 43 to 85 years, who were participating in the Nutritional Factors in Eye Disease Study, a population-based study designed to evaluate nutritional factors associated with age-related eye disease. Blood samples were collected from a random sample of 400 nonfasting participants in the study.

RESULTS:

Median carotenoid intakes using HHHQ vs USDA-NCI data were alpha carotene (229 vs 223 micrograms/day), beta carotene (1,321 vs 1,325 micrograms/day), beta cryptoxanthin (72 vs 21 micrograms/day), lutein + zeaxanthin (653 vs 811 micrograms/day), and lycopene (593 vs 1,615 micrograms/day). all paired differences in carotenoid intake were significantly different from zero (Wilcoxon signed-rank, P < .0001). Despite these differences, the two databases similarly ranked individuals according to carotenoid intake: Spearman correlations ranged from .71 (lycopene) to .93 (alpha carotene). Differences between diet-serum correlations (adjusted for energy, body mass index, high density lipoprotein, and total cholesterol) using HHHQ vs USDA-NCI data were minor and not significant (P > .05): alpha carotene (r = .33 vs .32), beta carotene (r = .27 vs .32), beta cryptoxanthin (r = .48 vs .53), lutein+zeaxanthin (r = .28 vs .24), and lycopene (r = .29 vs .25).

CONCLUSIONS:

Although estimates of carotenoid intake differed significantly, only minor differences in carotenoid rankings and diet-serum correlations were observed using either data source in this population.

PMID:
8948389
[PubMed - indexed for MEDLINE]
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