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      DIET@NET: Best Practice Guidelines for dietary assessment in health research

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          Abstract

          Background

          Dietary assessment is complex, and strategies to select the most appropriate dietary assessment tool (DAT) in epidemiological research are needed. The DIETary Assessment Tool NETwork (DIET@NET) aimed to establish expert consensus on Best Practice Guidelines (BPGs) for dietary assessment using self-report.

          Methods

          The BPGs were developed using the Delphi technique. Two Delphi rounds were conducted. A total of 131 experts were invited, and of these 65 accepted, with 48 completing Delphi round I and 51 completing Delphi round II. In all, a total of 57 experts from North America, Europe, Asia and Australia commented on the 47 suggested guidelines.

          Results

          Forty-three guidelines were generated, grouped into the following four stages: Stage I. Define what is to be measured in terms of dietary intake (what? who? and when?); Stage II. Investigate different types of DATs; Stage III. Evaluate existing tools to select the most appropriate DAT by evaluating published validation studies; Stage IV. Think through the implementation of the chosen DAT and consider sources of potential biases.

          Conclusions

          The Delphi technique consolidated expert views on best practice in assessing dietary intake. The BPGs provide a valuable guide for health researchers to choose the most appropriate dietary assessment method for their studies. These guidelines will be accessible through the Nutritools website, www.nutritools.org.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12916-017-0962-x) contains supplementary material, which is available to authorized users.

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          Most cited references87

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          Dietary pattern analysis: a new direction in nutritional epidemiology.

          Frank Hu (2002)
          Recently, dietary pattern analysis has emerged as an alternative and complementary approach to examining the relationship between diet and the risk of chronic diseases. Instead of looking at individual nutrients or foods, pattern analysis examines the effects of overall diet. Conceptually, dietary patterns represent a broader picture of food and nutrient consumption, and may thus be more predictive of disease risk than individual foods or nutrients. Several studies have suggested that dietary patterns derived from factor or cluster analysis predict disease risk or mortality. In addition, there is growing interest in using dietary quality indices to evaluate whether adherence to a certain dietary pattern (e.g. Mediterranean pattern) or current dietary guidelines lowers the risk of disease. In this review, we describe the rationale for studying dietary patterns, and discuss quantitative methods for analysing dietary patterns and their reproducibility and validity, and the available evidence regarding the relationship between major dietary patterns and the risk of cardiovascular disease.
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            Using and Reporting the Delphi Method for Selecting Healthcare Quality Indicators: A Systematic Review

            Objective Delphi technique is a structured process commonly used to developed healthcare quality indicators, but there is a little recommendation for researchers who wish to use it. This study aimed 1) to describe reporting of the Delphi method to develop quality indicators, 2) to discuss specific methodological skills for quality indicators selection 3) to give guidance about this practice. Methodology and Main Finding Three electronic data bases were searched over a 30 years period (1978–2009). All articles that used the Delphi method to select quality indicators were identified. A standardized data extraction form was developed. Four domains (questionnaire preparation, expert panel, progress of the survey and Delphi results) were assessed. Of 80 included studies, quality of reporting varied significantly between items (9% for year's number of experience of the experts to 98% for the type of Delphi used). Reporting of methodological aspects needed to evaluate the reliability of the survey was insufficient: only 39% (31/80) of studies reported response rates for all rounds, 60% (48/80) that feedback was given between rounds, 77% (62/80) the method used to achieve consensus and 57% (48/80) listed quality indicators selected at the end of the survey. A modified Delphi procedure was used in 49/78 (63%) with a physical meeting of the panel members, usually between Delphi rounds. Median number of panel members was 17(Q1:11; Q3:31). In 40/70 (57%) studies, the panel included multiple stakeholders, who were healthcare professionals in 95% (38/40) of cases. Among 75 studies describing criteria to select quality indicators, 28 (37%) used validity and 17(23%) feasibility. Conclusion The use and reporting of the Delphi method for quality indicators selection need to be improved. We provide some guidance to the investigators to improve the using and reporting of the method in future surveys.
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              Dietary assessment methods in epidemiologic studies

              Diet is a major lifestyle-related risk factor of various chronic diseases. Dietary intake can be assessed by subjective report and objective observation. Subjective assessment is possible using open-ended surveys such as dietary recalls or records, or using closed-ended surveys including food frequency questionnaires. Each method has inherent strengths and limitations. Continued efforts to improve the accuracy of dietary intake assessment and enhance its feasibility in epidemiological studies have been made. This article reviews common dietary assessment methods and their feasibility in epidemiological studies.
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                Author and article information

                Contributors
                J.E.Cade@leeds.ac.uk
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                15 November 2017
                15 November 2017
                2017
                : 15
                : 202
                Affiliations
                [1 ]ISNI 0000 0004 1936 8403, GRID grid.9909.9, Nutritional Epidemiology Group, School of Food Science and Nutrition, , University of Leeds, ; Leeds, LS2 9JT UK
                [2 ]ISNI 0000 0001 0619 1117, GRID grid.412125.1, Department of Food Science and Nutrition, , King Abdulaziz University, ; PO Box 42807, 21551 Jeddah, Saudi Arabia
                [3 ]Academic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
                [4 ]ISNI 0000 0004 0380 7336, GRID grid.410421.2, NIHR Biomedical Research Unit in Nutrition, Diet and Lifestyle, , University Hospitals Bristol NHS Foundation Trust and the University of Bristol, ; Bristol, BS8 1TH UK
                [5 ]Quadram Institute Bioscience, Norwich, NR4 7UA UK
                [6 ]ISNI 0000000106754565, GRID grid.8096.7, Centre for Innovative Research Across the Life Course (CIRAL), Faculty of Health and Life Sciences, , Coventry University, ; Coventry, CV1 5FB UK
                [7 ]ISNI 0000 0001 2113 8111, GRID grid.7445.2, Global eHealth Unit, Department of Primary Care and Public Health, , Imperial College London, ; London, SW7 2AZ UK
                [8 ]ISNI 0000 0004 1936 7603, GRID grid.5337.2, Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, , University of Bristol, ; Bristol, BS8 1TH UK
                [9 ]ISNI 0000 0004 0606 2472, GRID grid.415055.0, MRC Elsie Widdowson Laboratory, ; Cambridge, CB1 9NL UK
                [10 ]ISNI 0000 0004 1936 9262, GRID grid.11835.3e, Public Health Section, School of Health and Related Research (ScHARR), , University of Sheffield, ; Sheffield, S10 2TN UK
                [11 ]ISNI 0000 0001 2196 8713, GRID grid.9004.d, Public Health England, ; London, SE1 8UG UK
                [12 ]ISNI 0000 0004 1936 8403, GRID grid.9909.9, Faculty of Medicine and Health, Division of Biostatistics, , University of Leeds, ; Leeds, LS2 9JT UK
                [13 ]ISNI 0000 0004 1936 9297, GRID grid.5491.9, MRC Lifecourse Epidemiology Unit, , University of Southampton, ; Southampton, SO16 6YD UK
                [14 ]GRID grid.430506.4, NIHR Southampton Biomedical Research Centre, , University of Southampton & University Hospital Southampton NHS Foundation Trust, ; Southampton, SO16 6YD UK
                Author information
                http://orcid.org/0000-0003-3421-0121
                http://orcid.org/0000-0003-1318-397X
                Article
                962
                10.1186/s12916-017-0962-x
                5686956
                29137630
                ccd54b77-dad6-4943-92d6-9674e717b465
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 April 2017
                : 19 October 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MR/L02019X/1
                Award Recipient :
                Categories
                Guideline
                Custom metadata
                © The Author(s) 2017

                Medicine
                dietary assessment methods,guidelines,nutritional epidemiology,nutrition,public health
                Medicine
                dietary assessment methods, guidelines, nutritional epidemiology, nutrition, public health

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