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NUQUEST: A risk of bias tool for nutrition studies

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Speakers:

Shannon Kelly, Amanda MacFarlane

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Speakers:


Shannon Kelly
, MSc, PhD (c) - School of Epidemiology and Public Health, University of Ottawa;

Amanda MacFarlane, PhD – Director, Agriculture, Food and Nutrition Evidence Center, Texas A&M Agrilife Research


This webinar will cover the nutrition-specific bias unique to nutrition studies and the development and evolution of the NUQUEST (NUtrition QUality Evaluation Strengthening Tools) checklists, guidance and worksheets for assessing risk of bias in nutrition studies (randomized controlled trials, cohort studies and case-control studies). It will set the foundation for what will be covered in an upcoming three-part NUQUEST virtual workshop series to be hosted by CNS in 2022.

NUQUEST Description:

Dietary exposure assessments are a critical issue in evaluating human nutrition studies; however, existing bias assessment tools do not consistently include nutrition-specific criteria. Here we report on the development of the Nutrition QUality Evaluation Strengthening Tools (NUQUEST) for randomized controlled trials, cohort studies and case-control studies. NUQUEST integrates nutrition-specific criteria with generic criteria from existing tools with demonstrated reliability and validity. Tools were developed using a comprehensive, stepped approach and evaluations using a sample of nutrition studies produced high interrater reliability and concurrent validity and a user-friendly approach. Detailed guidance is presented to support users and the accompanying worksheet provides an optional framework to guide users through their ratings. NUQUEST represents a consistent and transparent approach for evaluating risk of bias issues related to dietary exposure assessment commonly encountered in human nutrition studies.

Learning Objectives:


At the end of the webinar, participants will be able to:
  1. Understand broadly the key risk of bias issues in nutrition studies;
  2. Know the key features of the NUQUEST checklists;
  3. Understand when and how to apply the NUQUEST checklists.

Co-Moderators:

George Wells, PhD - School of Epidemiology and Public Health, University of Ottawa; Director, Cardiovascular Research Methods Centre, University of Ottawa Heart Institute

Karima Benkhedda, PhD – Senior Scientific Evaluator, Bureau of Nutritional Sciences, Health Canada


Original Source: "CNS Education Webinars" Monday, June 20, 2022


Length: 1:01:29

Type: File

Last Updated: June 20, 2022

Name Type
NUQUEST - Risk of bias tools for nutrition studies File
NUQUEST: A risk of bias tool for nutrition studies Video
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