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      Estimating nitrate intake in the Australian diet: Design and validation of a food frequency questionnaire

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          Abstract

          Background

          Dietary nitrates may play a role in mediating several key physiological processes impacting health and/or exercise performance. However, current methods for assessing dietary nitrate (NO 3 ) consumption are inadequate. The present study aimed to examine the dietary nitrate intake in a sample of 50 healthy adults, as well as test the validity of a purposefully developed food frequency questionnaire (FFQ).

          Methods

          Dietary nitrate intake was estimated over a week using (i) three 24‐h dietary recalls; (ii) a short‐term (7‐day) FFQ; and (iii) a biomarker (urinary nitrate), in conjunction with a nitrate reference database.

          Results

          Daily dietary nitrate intake estimates were 130.94 mg (average of three 24‐h recalls) and 180.62 mg (FFQ). The mean urinary NO 3 excretion was 1974.79 µmol day –1 (or 917.9 µmol L –1). Despite the difference between the two dietary assessment methods, there was a moderate positive correlation ( r = 0.736, ρ < 0.001) between the two tools. There was also a positive correlation between urinary NO 3 and 24‐h recall data ( r = 0.632, ρ < 0.001), as well as between urinary NO 3 and FFQ ( r = 0.579, ρ < 0.001).

          Conclusions

          The ability to accurately estimate nitrate intakes depends on having suitable reference methods to estimate the concentrations of nitrate in the food supply, coupled with valid and reliable dietary assessment tools. Based on the findings from the present study, at an individual level, dietary recalls or records may be more accurate in estimating intakes of NO 3 . However, given the lower cost and time needed for administration relative to recalls, the FFQ has merit for estimating NO 3 intakes in health interventions, dietary surveys and surveillance programs.

          Key points

          • Nitrate occurs naturally in plant foods and water, and are also commonly used as food additives in cured products. Dietary nitrates may be beneficial for health and exercise performance; however, current methods to assess dietary nitrate consumption are inadequate.

          • Estimates of nitrate intake from our purposefully designed food frequency questionnaire showed moderate associations with estimates from 24‐h food recalls, as well as from a urinary biomarker.

          • At an individual level, dietary recalls or records may be more accurate in estimating dietary nitrate intake. However, the food frequency questionnaire developed in the present study may be useful to estimate nitrate intake in health interventions, dietary surveys and surveillance programs.

          Abstract

          Estimating nitrate intake among Australians

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          The Measurement of Observer Agreement for Categorical Data

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            Statistical methods for assessing agreement between two methods of clinical measurement

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              Essential Medical Statistics

              <b>Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book:</b><p>"This is a technical book on a technical subject but presented in a delightful way. There are many books on statistics for doctors but there are few that are excellent and this is certainly one of them. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good as it can get. For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics."<p><i>Essential Medical Statistics</i> is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that demystifies the subject, while providing a comprehensive coverage of advanced as well as basic methods.<p>The second edition of <i>Essential Medical Statistics</i> has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data.<p>Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact.<p><i>Essential Medical Statistics</i> is supported by a web site at <b>www.blackwellpublishing.com/essentialmedstats</b>. This useful online resource provides statistical datasets to download, as well as sample chapters and future updates.
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                Author and article information

                Contributors
                p.brooker@uq.edu.au
                Journal
                J Hum Nutr Diet
                J Hum Nutr Diet
                10.1111/(ISSN)1365-277X
                JHN
                Journal of Human Nutrition and Dietetics
                John Wiley and Sons Inc. (Hoboken )
                0952-3871
                1365-277X
                06 July 2022
                February 2023
                : 36
                : 1 ( doiID: 10.1111/jhn.v36.1 )
                : 169-180
                Affiliations
                [ 1 ] School of Human Movement and Nutrition Sciences University of Queensland St Lucia QLD Australia
                [ 2 ] School of Sport and Health Sciences, College of Life and Environmental Sciences, St Luke's Campus University of Exeter Exeter UK
                [ 3 ] School of Exercise and Nutrition Sciences Queensland University of Technology Kelvin Grove QLD Australia
                Author notes
                [*] [* ] Correspondence Paige G. Brooker, School of Human Movement and Nutrition Sciences, University of Queensland, St Lucia, QLD 4072, Australia.

                Email: p.brooker@ 123456uq.edu.au

                Author information
                http://orcid.org/0000-0003-1906-9457
                http://orcid.org/0000-0002-6646-0478
                Article
                JHN13048
                10.1111/jhn.13048
                10084179
                35692098
                461b217d-873e-4bbe-9212-91b52d5b5b1c
                © 2022 The Authors. Journal of Human Nutrition and Dietetics published by John Wiley & Sons Ltd on behalf of British Dietetic Association.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 28 March 2022
                : 07 June 2022
                Page count
                Figures: 3, Tables: 4, Pages: 12, Words: 7375
                Categories
                Nutritional Support and Assessment
                Nutritional Support and Assessment
                Custom metadata
                2.0
                February 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:10.04.2023

                Nutrition & Dietetics
                database,dietary assessment,dietary nitrate intake,food frequency questionnaire,urinary nitrate

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