Document Detail

Influence of using different sources of carotenoid data in epidemiologic studies.
MedLine Citation:
PMID:  8948389     Owner:  NLM     Status:  MEDLINE    
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.
G M VandenLangenberg; W E Brady; L C Nebeling; G Block; M Forman; P E Bowen; M Stacewicz-Sapuntzakis; J A Mares-Perlman
Related Documents :
3667029 - Use of quantified and frequency indices of vitamin a intake in a case-control study of ...
20128939 - How accurate are adolescents in portion-size estimation using the computer tool young a...
10783929 - Inter-laboratory comparison of flow-volume curve measurements as quality control proced...
1303939 - Estimation of dietary intake of cadmium: reliability of methods.
8610709 - Dietary assessment in epidemiology: comparison on food frequency and a diet history que...
17374669 - Assessment of dietary isoflavone intake among middle-aged chinese men.
17381759 - Relevance of n-acyl-l-homoserine lactone production by yersinia enterocolitica in fresh...
7501869 - Extinction of vibrio cholerae in acidic substrata: contaminated fish marinated with lim...
11762739 - Development and reproducibility of a brief food frequency questionnaire for assessing t...
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of the American Dietetic Association     Volume:  96     ISSN:  0002-8223     ISO Abbreviation:  J Am Diet Assoc     Publication Date:  1996 Dec 
Date Detail:
Created Date:  1996-12-26     Completed Date:  1996-12-26     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  7503061     Medline TA:  J Am Diet Assoc     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1271-5     Citation Subset:  AIM; IM    
Department of Nutritional Sciences, University of Wisconsin-Madison 53705-2397, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Aged, 80 and over
Biological Markers / blood
Carotenoids / administration & dosage*,  blood
Cohort Studies
Databases, Factual
Eye Diseases / etiology
Middle Aged
National Institutes of Health (U.S.)
Regression Analysis
United States
United States Department of Agriculture
Grant Support
Reg. No./Substance:
0/Biological Markers; 36-88-4/Carotenoids

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Regression equation predicts dietary phosphorus intake from estimate of dietary protein intake.
Next Document:  Development of a protocol to assess dietary intake among Hispanics who have low literacy skills in E...