title: Influence of using different sources of carotenoid data in epidemiologic studies.
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).
  
  
  METHODS
  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.
authors.affiliation: Department of Nutritional Sciences, University of Wisconsin-Madison 53705-2397, USA.
authors.forename: G M
authors.initials: GM
authors.lastname: VandenLangenberg
authors.forename: W E
authors.initials: WE
authors.lastname: Brady
authors.forename: L C
authors.initials: LC
authors.lastname: Nebeling
authors.forename: G
authors.initials: G
authors.lastname: Block
authors.forename: M
authors.initials: M
authors.lastname: Forman
authors.forename: P E
authors.initials: PE
authors.lastname: Bowen
authors.forename: M
authors.initials: M
authors.lastname: Stacewicz-Sapuntzakis
authors.forename: J A
authors.initials: JA
authors.lastname: Mares-Perlman
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D002338:Carotenoids / Q000008:administration & dosage* / Q000097:blood; D015331:Cohort Studies; D016208:Databases, Factual; D005128:Eye Diseases / Q000209:etiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009316:National Institutes of Health (U.S.); D012044:Regression Analysis; D011795:Surveys and Questionnaires; D014481:United States; D016885:United States Department of Agriculture
chemical_list: D015415:Biomarkers; D002338:Carotenoids