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A systematic review of reviews identifying UK validated dietary assessment tools for inclusion on an interactive guided website for researchers:

Research output: Contribution to journalArticle

  • Jozef Hooson Jzh
  • Jayne Hutchinson Jyh
  • Marisol Warthon-Medina
  • Neil Hancock
  • Katharine Greathead
  • Bethany Knowles
  • Elisa Vargas-Garcia
  • Lauren E Gibson
  • Linda A Bush
  • Barrie Margetts
  • Sian Robinson
  • Andy Ness
  • Nisreen A Alwan
  • Petra A Wark
  • Mark Roe
  • Paul Finglas
  • Toni Steer
  • Polly Page
  • Laura Johnson
  • Katharine Roberts
  • Birdem Amoutzopoulos
  • Victoria J Burley
  • Darren C Greenwood
  • Janet E Cade
Original languageEnglish
Number of pages25
JournalCritical Reviews in Food Science and Nutrition
Early online date18 Mar 2019
DateAccepted/In press - 5 Jan 2019
DateE-pub ahead of print (current) - 18 Mar 2019


BACKGROUND: Health researchers may struggle to choose suitable validated dietary assessment tools (DATs) for their target population. The aim of this review was to identify and collate information on validated UK DATs and validation studies for inclusion on a website to support researchers to choose appropriate DATs.

DESIGN: A systematic review of reviews of DATs was undertaken. DATs validated in UK populations were extracted from the studies identified. A searchable website was designed to display these data. Additionally, mean differences and limits of agreement between test and comparison methods were summarized by a method, weighting by sample size.

RESULTS: Over 900 validation results covering 5 life stages, 18 nutrients, 6 dietary assessment methods, and 9 validation method types were extracted from 63 validated DATs which were identified from 68 reviews. These were incorporated into . Limits of agreement were determined for about half of validations. Thirty four DATs were FFQs. Only 17 DATs were validated against biomarkers, and only 19 DATs were validated in infant/children/adolescents.

CONCLUSIONS: The interactive website holds extensive validation data identified from this review and can be used to guide researchers to critically compare and choose a suitable DAT for their research question, leading to improvement of nutritional epidemiology research.

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