33
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Comparative Validity and Reproducibility of a Diet Quality Index for Adults: The Australian Recommended Food Score

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Adult diet quality indices are shown to predict nutritional adequacy of dietary intake as well as all-cause morbidity and mortality. This study describes the reproducibility and validity of a food-based diet quality index, the Australian Recommended Food Score (ARFS). ARFS was developed to reflect alignment with the Australian Dietary Guidelines and is modelled on the US Recommended Food Score. Dietary intakes of 96 adult participants (31 male, 65 female) age 30 to 75 years were assessed in two rounds, five months apart. Diet was assessed using a 120-question semi-quantitative food frequency questionnaire (FFQ). The ARFS diet quality index was derived using a subset of 70 items from the full FFQ. Reproducibility of the ARFS between round one and round two was confirmed by the overall intraclass correlation coefficient of 0.87 (95% CI 0.83, 0.90), which compared favourably to that for the FFQ at 0.85 (95% CI 0.80, 0.89). ARFS was correlated with FFQ nutrient intakes, particularly fiber, vitamin A, beta-carotene and vitamin C (0.53, 95% CI 0.37–0.67), and with mineral intakes, particularly calcium, magnesium and potassium (0.32, 95% CI 0.23–0.40). ARFS is a suitable brief tool to evaluate diet quality in adults and reliably estimates a range of nutrient intakes.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Book: not found

          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM.

            Reliability, the consistency of a test or measurement, is frequently quantified in the movement sciences literature. A common metric is the intraclass correlation coefficient (ICC). In addition, the SEM, which can be calculated from the ICC, is also frequently reported in reliability studies. However, there are several versions of the ICC, and confusion exists in the movement sciences regarding which ICC to use. Further, the utility of the SEM is not fully appreciated. In this review, the basics of classic reliability theory are addressed in the context of choosing and interpreting an ICC. The primary distinction between ICC equations is argued to be one concerning the inclusion (equations 2,1 and 2,k) or exclusion (equations 3,1 and 3,k) of systematic error in the denominator of the ICC equation. Inferential tests of mean differences, which are performed in the process of deriving the necessary variance components for the calculation of ICC values, are useful to determine if systematic error is present. If so, the measurement schedule should be modified (removing trials where learning and/or fatigue effects are present) to remove systematic error, and ICC equations that only consider random error may be safely used. The use of ICC values is discussed in the context of estimating the effects of measurement error on sample size, statistical power, and correlation attenuation. Finally, calculation and application of the SEM are discussed. It is shown how the SEM and its variants can be used to construct confidence intervals for individual scores and to determine the minimal difference needed to be exhibited for one to be confident that a true change in performance of an individual has occurred.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Development, validation and utilisation of food-frequency questionnaires - a review.

              The purpose of this review is to provide guidance on the development, validation and use of food-frequency questionnaires (FFQs) for different study designs. It does not include any recommendations about the most appropriate method for dietary assessment (e.g. food-frequency questionnaire versus weighed record). A comprehensive search of electronic databases was carried out for publications from 1980 to 1999. Findings from the review were then commented upon and added to by a group of international experts. Recommendations have been developed to aid in the design, validation and use of FFQs. Specific details of each of these areas are discussed in the text. FFQs are being used in a variety of ways and different study designs. There is no gold standard for directly assessing the validity of FFQs. Nevertheless, the outcome of this review should help those wishing to develop or adapt an FFQ to validate it for its intended use.
                Bookmark

                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                23 January 2015
                February 2015
                : 7
                : 2
                : 785-798
                Affiliations
                [1 ]Nutrition and Dietetics, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia; E-Mails: Tracy.Burrows@ 123456newcastle.edu.au (T.L.B.); Megan.rollo@ 123456newcastle.edu.au (M.E.R.); Jane.Watson@ 123456newcastle.edu.au (J.F.W.); Kerith.Duncanson@ 123456uon.edu.au (K.D.); Kristine.pezdirc@ 123456newcastle.edu.au (K.P.); Melinda.hutchesson@ 123456newcastle.edu.au (M.J.H.)
                [2 ]Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle 2300, Australia; E-Mail: Maya.Guest@ 123456newcastle.edu.au
                [3 ]Occupational Health and Safety, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle 2300, Australia; E-Mail: mboggess@ 123456asu.edu
                [4 ]School of Mathematical and Statistical Sciences, College of Liberal Arts and Science, Arizona State University, Tempe, AZ 85287, USA
                Author notes
                [†]

                These authors contributed equally to this work.

                [* ]Author to whom correspondence should be addressed; E-Mail: Clare.Collins@ 123456newcastle.edu.au ; Tel.: +61-024-921-5646; Fax: +61-024-921-7053.
                Article
                nutrients-07-00785
                10.3390/nu7020785
                4344560
                25625814
                82313b6e-6995-4be1-b109-be3d6867cd5b
                © 2015 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 November 2014
                : 15 January 2015
                Categories
                Article

                Nutrition & Dietetics
                diet quality index,validation,comparative validity,reproducibility,food frequency questionnaire,intra-class correlation coefficient,dietary methods

                Comments

                Comment on this article