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Evaluating the relationship between fruit and vegetable intake using plasma and dermal biomarkers and reported dietary intake in 4th grade children
Author(s) -
Nguyen Lori,
Scherr R E,
Linnell J,
Nicholson Y,
Spezzano T,
Brian K,
Briggs M,
Ermakov I,
Gellermann W,
Keen C,
Miyamoto S,
Smith M,
Steinberg F,
Young H M,
ZidenbergCherr S
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.623.4
Subject(s) - carotenoid , food frequency questionnaire , leafy vegetables , food science , biomarker , medicine , orange juice , food group , environmental health , chemistry , biochemistry
The objective of this study is to evaluate the relationship between biomarkers of fruit and vegetable intake comparing plasma and dermal carotenoids to reported intake. It is important to have a valid, objective, and non‐invasive method to assess nutritional status in children and a feasible data collection method. As part of the multi‐component nutrition education intervention Shaping Healthy Choices, a health fair was hosted to collect biochemical data from 4th graders. Dermal carotenoids were measured using Resonance Raman Spectroscopy (RRS). Plasma carotenoids were quantified using High Performance Liquid Chromatography. Dietary intake was assessed using the Block Food Frequency Questionnaire. Total plasma carotenoids strongly correlated with RRS values when corrected for BMI (R2=0.80; P<0.01; n=10). RRS values strongly correlated with FFQ orange and leafy vegetable servings (R2=0.80; P<0.03 and R2=0.83; P<0.02, respectively). This study shows that a health fair is a feasible model to collect valid biomarker data assessing fruit and vegetable intake. RRS is a valid, non‐invasive method for determining carotenoids and correlates with reported intake. This validation work serves as justification for larger sample sizes in future studies. This model will be used to gather biomarker data at postevaluation and in future nutrition intervention studies. Grant Funding Source : UCANR and USDA 2011–38420–20082