Comparison between dietary assessment methods and biomarkers in estimating dietary (poly)phenol intake

Yifan Xu; Yong Li; Xuemei Ma; Wafa Alotaibi; Melanie Le Sayec; Alex Cheok; Eleanor Wood; Sabine Hein; Paul Young Tie Yang; Wendy L Hall; Chiara Nosarti; Paola Dazzan; Rachel Gibson; Ana Rodriguez-Mateos

doi:10.1039/d2fo02755k

Comparison between dietary assessment methods and biomarkers in estimating dietary (poly)phenol intake

Yifan Xu, Yong Li, Xuemei Ma, Wafa Alotaibi, Melanie Le Sayec, Alex Cheok, Eleanor Wood, Sabine Hein, Paul Young Tie Yang, Wendy L Hall, Chiara Nosarti, Paola Dazzan, Rachel Gibson, Ana Rodriguez-Mateos

King's College Hospital

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Background: although widely used, there is limited understanding of the suitability of different dietary assessment tools to estimate (poly)phenol intake. This study aims to compare the agreement between a food frequency questionnaire (FFQ) and a 7-day food diary (7DD) in assessing (poly)phenol intake and explore their associations with the urinary and plasma (poly)phenol metabolites. Methods: healthy free-living participants aged 18-80 years (n = 413) completed a 7DD and an FFQ (EPIC-Norfolk) and provided a 24 h urine and a fasting plasma sample. A comprehensive in-house (poly)phenol database was used to estimate (poly)phenol intake. The phenolic metabolite levels were analysed using a validated LC-MS method. The agreement between dietary assessment methods and biomarkers were evaluated by intraclass correlation coefficients (ICC), weighted kappa, quartile classification, Bland-Altman plots and correlations. Results: the total (poly)phenol intake estimated from FFQ was higher than from 7DD (median 1463 and 1042 mg d-1, respectively). The agreement between FFQ and 7DD were moderate (ICC 0.51-0.59) for total (poly)phenols, flavan-3-ols, total phenolic acids, hydroxycinnamic acids and alkylmethoxyphenols, and were poor for all the other classes and subclasses (ICC 0.00-0.48). Positive correlations with total urine phenolic metabolites were found in FFQ estimated anthocyanins, dihydroflavonols, total lignans, tyrosols, alkylmethoxyphenols, total phenolic acids, and total stilbenes and the 7DD estimated theaflavins and thearubigins (all FDR adjusted p values < 0.1). No significant correlations were found between total plasma phenolic metabolites and (poly)phenol intake. Conclusion: agreements between dietary assessment tools were moderate for the major classes of (poly)phenols, while agreements between (poly)phenol intake and biomarkers were poor. Future research using biomarker approaches to increase the accuracy of estimating (poly)phenol exposure in larger populations is needed.

Original language	English
Pages (from-to)	1369-1386
Number of pages	18
Journal	Food & Function
Volume	14
Issue number	3
Early online date	9 Jan 2023
DOIs	https://doi.org/10.1039/d2fo02755k
Publication status	E-pub ahead of print - 9 Jan 2023

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Xu, Y., Li, Y., Ma, X., Alotaibi, W., Le Sayec, M., Cheok, A., Wood, E., Hein, S., Young Tie Yang, P., Hall, W. L., Nosarti, C., Dazzan, P., Gibson, R., & Rodriguez-Mateos, A. (2023). Comparison between dietary assessment methods and biomarkers in estimating dietary (poly)phenol intake. Food & Function, 14(3), 1369-1386. Advance online publication. https://doi.org/10.1039/d2fo02755k

@article{8c9cd6a7087f4e40885079ac91fceb63,

title = "Comparison between dietary assessment methods and biomarkers in estimating dietary (poly)phenol intake",

abstract = "Background: although widely used, there is limited understanding of the suitability of different dietary assessment tools to estimate (poly)phenol intake. This study aims to compare the agreement between a food frequency questionnaire (FFQ) and a 7-day food diary (7DD) in assessing (poly)phenol intake and explore their associations with the urinary and plasma (poly)phenol metabolites. Methods: healthy free-living participants aged 18-80 years (n = 413) completed a 7DD and an FFQ (EPIC-Norfolk) and provided a 24 h urine and a fasting plasma sample. A comprehensive in-house (poly)phenol database was used to estimate (poly)phenol intake. The phenolic metabolite levels were analysed using a validated LC-MS method. The agreement between dietary assessment methods and biomarkers were evaluated by intraclass correlation coefficients (ICC), weighted kappa, quartile classification, Bland-Altman plots and correlations. Results: the total (poly)phenol intake estimated from FFQ was higher than from 7DD (median 1463 and 1042 mg d-1, respectively). The agreement between FFQ and 7DD were moderate (ICC 0.51-0.59) for total (poly)phenols, flavan-3-ols, total phenolic acids, hydroxycinnamic acids and alkylmethoxyphenols, and were poor for all the other classes and subclasses (ICC 0.00-0.48). Positive correlations with total urine phenolic metabolites were found in FFQ estimated anthocyanins, dihydroflavonols, total lignans, tyrosols, alkylmethoxyphenols, total phenolic acids, and total stilbenes and the 7DD estimated theaflavins and thearubigins (all FDR adjusted p values < 0.1). No significant correlations were found between total plasma phenolic metabolites and (poly)phenol intake. Conclusion: agreements between dietary assessment tools were moderate for the major classes of (poly)phenols, while agreements between (poly)phenol intake and biomarkers were poor. Future research using biomarker approaches to increase the accuracy of estimating (poly)phenol exposure in larger populations is needed.",

author = "Yifan Xu and Yong Li and Xuemei Ma and Wafa Alotaibi and {Le Sayec}, Melanie and Alex Cheok and Eleanor Wood and Sabine Hein and {Young Tie Yang}, Paul and Hall, {Wendy L} and Chiara Nosarti and Paola Dazzan and Rachel Gibson and Ana Rodriguez-Mateos",

note = "Funding Information: YX, YL, and XM are funded by the King's-China Scholarship Council (K-CSC) joint scholarship. WA is funded by a scholarship from King Faisal University. The authors thank Anthony Sullivan, Chris Titman, and Neil Loftus from Shimadzu UK Ltd for their support on the LC-MS/MS instrument. Publisher Copyright: {\textcopyright} 2023 The Royal Society of Chemistry.",

year = "2023",

month = jan,

day = "9",

doi = "10.1039/d2fo02755k",

language = "English",

volume = "14",

pages = "1369--1386",

journal = "Food & Function",

issn = "2042-6496",

publisher = "Royal Society of Chemistry",

number = "3",

}

TY - JOUR

T1 - Comparison between dietary assessment methods and biomarkers in estimating dietary (poly)phenol intake

AU - Xu, Yifan

AU - Li, Yong

AU - Ma, Xuemei

AU - Alotaibi, Wafa

AU - Le Sayec, Melanie

AU - Cheok, Alex

AU - Wood, Eleanor

AU - Hein, Sabine

AU - Young Tie Yang, Paul

AU - Hall, Wendy L

AU - Nosarti, Chiara

AU - Dazzan, Paola

AU - Gibson, Rachel

AU - Rodriguez-Mateos, Ana

N1 - Funding Information: YX, YL, and XM are funded by the King's-China Scholarship Council (K-CSC) joint scholarship. WA is funded by a scholarship from King Faisal University. The authors thank Anthony Sullivan, Chris Titman, and Neil Loftus from Shimadzu UK Ltd for their support on the LC-MS/MS instrument. Publisher Copyright: © 2023 The Royal Society of Chemistry.

PY - 2023/1/9

Y1 - 2023/1/9

N2 - Background: although widely used, there is limited understanding of the suitability of different dietary assessment tools to estimate (poly)phenol intake. This study aims to compare the agreement between a food frequency questionnaire (FFQ) and a 7-day food diary (7DD) in assessing (poly)phenol intake and explore their associations with the urinary and plasma (poly)phenol metabolites. Methods: healthy free-living participants aged 18-80 years (n = 413) completed a 7DD and an FFQ (EPIC-Norfolk) and provided a 24 h urine and a fasting plasma sample. A comprehensive in-house (poly)phenol database was used to estimate (poly)phenol intake. The phenolic metabolite levels were analysed using a validated LC-MS method. The agreement between dietary assessment methods and biomarkers were evaluated by intraclass correlation coefficients (ICC), weighted kappa, quartile classification, Bland-Altman plots and correlations. Results: the total (poly)phenol intake estimated from FFQ was higher than from 7DD (median 1463 and 1042 mg d-1, respectively). The agreement between FFQ and 7DD were moderate (ICC 0.51-0.59) for total (poly)phenols, flavan-3-ols, total phenolic acids, hydroxycinnamic acids and alkylmethoxyphenols, and were poor for all the other classes and subclasses (ICC 0.00-0.48). Positive correlations with total urine phenolic metabolites were found in FFQ estimated anthocyanins, dihydroflavonols, total lignans, tyrosols, alkylmethoxyphenols, total phenolic acids, and total stilbenes and the 7DD estimated theaflavins and thearubigins (all FDR adjusted p values < 0.1). No significant correlations were found between total plasma phenolic metabolites and (poly)phenol intake. Conclusion: agreements between dietary assessment tools were moderate for the major classes of (poly)phenols, while agreements between (poly)phenol intake and biomarkers were poor. Future research using biomarker approaches to increase the accuracy of estimating (poly)phenol exposure in larger populations is needed.

AB - Background: although widely used, there is limited understanding of the suitability of different dietary assessment tools to estimate (poly)phenol intake. This study aims to compare the agreement between a food frequency questionnaire (FFQ) and a 7-day food diary (7DD) in assessing (poly)phenol intake and explore their associations with the urinary and plasma (poly)phenol metabolites. Methods: healthy free-living participants aged 18-80 years (n = 413) completed a 7DD and an FFQ (EPIC-Norfolk) and provided a 24 h urine and a fasting plasma sample. A comprehensive in-house (poly)phenol database was used to estimate (poly)phenol intake. The phenolic metabolite levels were analysed using a validated LC-MS method. The agreement between dietary assessment methods and biomarkers were evaluated by intraclass correlation coefficients (ICC), weighted kappa, quartile classification, Bland-Altman plots and correlations. Results: the total (poly)phenol intake estimated from FFQ was higher than from 7DD (median 1463 and 1042 mg d-1, respectively). The agreement between FFQ and 7DD were moderate (ICC 0.51-0.59) for total (poly)phenols, flavan-3-ols, total phenolic acids, hydroxycinnamic acids and alkylmethoxyphenols, and were poor for all the other classes and subclasses (ICC 0.00-0.48). Positive correlations with total urine phenolic metabolites were found in FFQ estimated anthocyanins, dihydroflavonols, total lignans, tyrosols, alkylmethoxyphenols, total phenolic acids, and total stilbenes and the 7DD estimated theaflavins and thearubigins (all FDR adjusted p values < 0.1). No significant correlations were found between total plasma phenolic metabolites and (poly)phenol intake. Conclusion: agreements between dietary assessment tools were moderate for the major classes of (poly)phenols, while agreements between (poly)phenol intake and biomarkers were poor. Future research using biomarker approaches to increase the accuracy of estimating (poly)phenol exposure in larger populations is needed.

UR - http://www.scopus.com/inward/record.url?scp=85146832010&partnerID=8YFLogxK

U2 - 10.1039/d2fo02755k

DO - 10.1039/d2fo02755k

M3 - Article

C2 - 36655801

SN - 2042-6496

VL - 14

SP - 1369

EP - 1386

JO - Food & Function

JF - Food & Function

IS - 3

ER -

Comparison between dietary assessment methods and biomarkers in estimating dietary (poly)phenol intake

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