Literature DB >> 28867085

A systematic review of food composition tools used for determining dietary polyphenol intake in estimated intake studies.

Yasmine Probst1, Vivienne Guan2, Katherine Kent3.   

Abstract

Translating food intake data into phytochemical outcomes is a crucial step in investigating potential health benefits. The aim of this review was to examine the tools for determining dietary-derived polyphenol intakes for estimated intake studies. Published studies from 2004 to 2014 reporting polyphenol food composition information were sourced with 157 studies included. Six polyphenol subclasses were identified. One quarter of studies (n=39) reported total flavonoids intake with 27% reporting individual flavonoid compounds. Assessing multiple compounds was common with approximately 10% of studies assessing seven (n=13), six (n=12) and five (n=14) subclasses of polyphenol. There was no pattern between reported flavonoids compounds and subclass studied. Approximately 60% of studies relied on publicly accessible food composition data to estimate dietary polyphenols intake with 33% using two or more tools. This review highlights the importance of publicly accessible composition databases for estimating polyphenol intake and provides a reference for tools available globally.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3-Flavanol (CID 12318031); Anthocyanin (CID 145858); Daidzein (CID 5281708); Dietary assessment; Flavanone (CID 10251); Flavone (CID 10680); Flavonol (CID 11349); Food composition data; Genistein (CID 5280961); Isoflavone (CID 72304); Lignan (CID 159949); Observational studies; Phytochemical; Polyphenol; Systematic literature review

Mesh:

Substances:

Year:  2016        PMID: 28867085     DOI: 10.1016/j.foodchem.2016.11.010

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  10 in total

1.  Association between flavonoid intake and risk of hypertension in two cohorts of Australian women: a longitudinal study.

Authors:  Vinicius A do Rosario; Danielle A J M Schoenaker; Katherine Kent; Katrina Weston-Green; Karen Charlton
Journal:  Eur J Nutr       Date:  2020-11-07       Impact factor: 5.614

2.  Descriptive analysis of dietary (poly)phenol intake in the subcohort MAX from DCH-NG: "Diet, Cancer and Health-Next Generations cohort".

Authors:  Jytte Halkjær; Cristina Andres-Lacueva; Fabian Lanuza; Raul Zamora-Ros; Agnetha Linn Rostgaard-Hansen; Anne Tjønneland; Rikard Landberg
Journal:  Eur J Nutr       Date:  2022-08-22       Impact factor: 4.865

3.  Dietary flavonoid intake in older adults: how many days of dietary assessment are required and what is the impact of seasonality?

Authors:  Katherine Kent; Karen E Charlton; Simone Lee; Jonathon Mond; Joanna Russell; Paul Mitchell; Victoria M Flood
Journal:  Nutr J       Date:  2018-01-12       Impact factor: 3.271

Review 4.  Dietary Patterns and Cardiovascular Disease: Insights and Challenges for Considering Food Groups and Nutrient Sources.

Authors:  Linda C Tapsell; Elizabeth P Neale; Yasmine Probst
Journal:  Curr Atheroscler Rep       Date:  2019-02-11       Impact factor: 5.113

Review 5.  A Review on Flavonoid Apigenin: Dietary Intake, ADME, Antimicrobial Effects, and Interactions with Human Gut Microbiota.

Authors:  Minqian Wang; Jenni Firrman; LinShu Liu; Kit Yam
Journal:  Biomed Res Int       Date:  2019-10-16       Impact factor: 3.411

6.  The Relationship between Dietary Polyphenol Intakes and Urinary Polyphenol Concentrations in Adults Prescribed a High Vegetable and Fruit Diet.

Authors:  Erin D Clarke; Megan E Rollo; Clare E Collins; Lisa Wood; Robin Callister; Mark Philo; Paul A Kroon; Rebecca L Haslam
Journal:  Nutrients       Date:  2020-11-09       Impact factor: 5.717

7.  Comparison of Flavonoid Intake Assessment Methods Using USDA and Phenol Explorer Databases: Subcohort Diet, Cancer and Health-Next Generations-MAX Study.

Authors:  Fabian Lanuza; Nicola P Bondonno; Raul Zamora-Ros; Agnetha Linn Rostgaard-Hansen; Anne Tjønneland; Rikard Landberg; Jytte Halkjær; Cristina Andres-Lacueva
Journal:  Front Nutr       Date:  2022-04-04

8.  Total urinary polyphenols and ideal cardiovascular health metrics in Spanish adolescents enrolled in the SI Program: a cross-sectional study.

Authors:  Emily P Laveriano-Santos; Camila Arancibia-Riveros; Isabella Parilli-Moser; Sonia L Ramírez-Garza; Anna Tresserra-Rimbau; Ana María Ruiz-León; Ramón Estruch; Patricia Bodega; Mercedes de Miguel; Amaya de Cos-Gandoy; Vanesa Carral; Gloria Santos-Beneit; Juan M Fernández-Alvira; Rodrigo Fernández-Jiménez; Rosa M Lamuela-Raventós
Journal:  Sci Rep       Date:  2022-09-14       Impact factor: 4.996

9.  Antioxidant Effects of a Polyphenol-Rich Dietary Supplement Incorporating Pinus massoniana Bark Extract in Healthy Older Adults: A Two-Arm, Parallel Group, Randomized Placebo-Controlled Trial.

Authors:  Jessica J A Ferguson; Christopher Oldmeadow; David Bentley; Manohar L Garg
Journal:  Antioxidants (Basel)       Date:  2022-08-11

Review 10.  Relationship between Mediterranean Dietary Polyphenol Intake and Obesity.

Authors:  Sara Castro-Barquero; Rosa M Lamuela-Raventós; Mónica Doménech; Ramon Estruch
Journal:  Nutrients       Date:  2018-10-17       Impact factor: 5.717

  10 in total

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