Next Article in Journal
The Importance of Dose, Frequency and Duration of Vitamin D Supplementation for Plasma 25-Hydroxyvitamin D
Next Article in Special Issue
The Influence of Vitamin A Supplementation on Iron Status
Previous Article in Journal
Mobilization of Stored Iron in Mammals: A Review
Previous Article in Special Issue
Lycopene Supplement and Blood Pressure: An Updated Meta-Analysis of Intervention Trials
Nutrients 2013, 5(10), 4051-4066; doi:10.3390/nu5104051
Article

Food Predictors of Plasma Carotenoids

1,2
, 1,2,3
, 3
 and 1,3,*
Received: 1 August 2013; in revised form: 10 September 2013 / Accepted: 13 September 2013 / Published: 11 October 2013
(This article belongs to the Special Issue Vitamin A and Carotenoids)
View Full-Text   |   Download PDF [250 KB, uploaded 11 October 2013]
Abstract: Empirical prediction models that weight food frequency questionnaire (FFQ) food items by their relation to nutrient biomarker concentrations may estimate nutrient exposure better than nutrient intakes derived from food composition databases. Carotenoids may especially benefit because contributing foods vary in bioavailability and assessment validity. Our objective was to develop empirical prediction models for the major plasma carotenoids and total carotenoids and evaluate their validity compared with dietary intakes calculated from standard food composition tables. 4180 nonsmoking women in the Nurses’ Health Study (NHS) blood subcohort with previously measured plasma carotenoids were randomly divided into training (n = 2787) and testing (n = 1393) subsets. Empirical prediction models were developed in the training subset by stepwise selection from foods contributing ≥0.5% to intake of the relevant carotenoid. Spearman correlations between predicted and measured plasma concentrations were compared to Spearman correlations between dietary intake and measured plasma concentrations for each carotenoid. Three to 12 foods were selected for the α-carotene, β-carotene, β-cryptoxanthin, lutein/zeaxanthin, lycopene, and total carotenoids prediction models. In the testing subset, Spearman correlations with measured plasma concentrations for the calculated dietary intakes and predicted plasma concentrations, respectively, were 0.31 and 0.37 for α-carotene, 0.29 and 0.31 for β-carotene, 0.36 and 0.41 for β-cryptoxanthin, 0.28 and 0.31 for lutein/zeaxanthin, 0.22 and 0.23 for lycopene, and 0.22 and 0.27 for total carotenoids. Empirical prediction models may modestly improve assessment of some carotenoids, particularly α-carotene and β-cryptoxanthin.
Keywords: carotenoids; vitamin A; α-carotene; β-carotene; β-cryptoxanthin; lutein/zeaxanthin; lycopene; food predictors; biomarkers carotenoids; vitamin A; α-carotene; β-carotene; β-cryptoxanthin; lutein/zeaxanthin; lycopene; food predictors; biomarkers
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Hendrickson, S.J.; Willett, W.C.; Rosner, B.A.; Eliassen, A.H. Food Predictors of Plasma Carotenoids. Nutrients 2013, 5, 4051-4066.

AMA Style

Hendrickson SJ, Willett WC, Rosner BA, Eliassen AH. Food Predictors of Plasma Carotenoids. Nutrients. 2013; 5(10):4051-4066.

Chicago/Turabian Style

Hendrickson, Sara J.; Willett, Walter C.; Rosner, Bernard A.; Eliassen, A. H. 2013. "Food Predictors of Plasma Carotenoids." Nutrients 5, no. 10: 4051-4066.


Nutrients EISSN 2072-6643 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert