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    Development of a reference database for assessing dietary nitrate in vegetables

    Access Status
    Fulltext not available
    Authors
    Blekkenhorst, L.
    Prince, R.
    Ward, Natalie
    Croft, K.
    Lewis, J.
    Devine, A.
    Shinde, S.
    Woodman, R.
    Hodgson, J.
    Bondonno, C.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Blekkenhorst, L. and Prince, R. and Ward, N. and Croft, K. and Lewis, J. and Devine, A. and Shinde, S. et al. 2017. Development of a reference database for assessing dietary nitrate in vegetables. Molecular Nutrition and Food research. 61 (8): Article ID 1600982.
    Source Title
    Molecular Nutrition and Food research
    DOI
    10.1002/mnfr.201600982
    ISSN
    1613-4125
    School
    School of Biomedical Sciences
    URI
    http://hdl.handle.net/20.500.11937/53589
    Collection
    • Curtin Research Publications
    Abstract

    Scope: Nitrate from vegetables improves vascular health with short-term intake. Whether this translates into improved long-term health outcomes has yet to be investigated. To enable reliable analysis of nitrate intake from food records, there is a strong need for a comprehensive nitrate content of vegetables database. Methods and results: A systematic literature search (1980-2016) was performed using Medline, Agricola and Commonwealth Agricultural Bureaux abstracts databases. The nitrate content of vegetables database contains 4237 records from 255 publications with data on 178 vegetables and 22 herbs and spices. The nitrate content of individual vegetables ranged from Chinese flat cabbage (median; range: 4240; 3004-6310 mg/kg FW) to corn (median; range: 12; 5-1091 mg/kg FW). The database was applied to estimate vegetable nitrate intake using 24-h dietary recalls (24-HDRs) and food frequency questionnaires (FFQs). Significant correlations were observed between urinary nitrate excretion and 24-HDR (r = 0.4, P = 0.013), between 24-HDR and 12 month FFQs (r = 0.5, P < 0.001) as well as two 4 week FFQs administered 8 weeks apart (r = 0.86, P < 0.001). Conclusion: This comprehensive nitrate database allows quantification of dietary nitrate from a large variety of vegetables. It can be applied to dietary records to explore the associations between nitrate intake and health outcomes in human studies.

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