Systematic Review and Meta-Analysis of Human Studies to Support a Quantitative Recommendation for Whole Grain Intake in Relation to Type 2 Diabetes

Aurelie Chanson-Rolle, Alexandra Meynier (Corresponding Author), François Aubin, Jenni Lappi, Kaisa Poutanen, Sophie Vinoy, Veronique Braesco

    Research output: Contribution to journalArticleScientificpeer-review

    73 Citations (Scopus)

    Abstract

    Background Due to the increasing evidence of their health benefits, whole grains are recommended for consumption worldwide. Such recommendations are, however, rarely quantitative. Our aim was to perform a quantitative evaluation of the relationship between whole grain consumption and the occurrence of type 2 diabetes (T2D) to support a recommendation on the daily consumption of whole grains. Methods and Findings We conducted a systematic review by searching three bibliographic databases. We included human studies addressing the relationship between whole grain consumption and T2D occurrence, and providing quantitative information on daily intake of whole grains. A dose-response meta-regression analysis between whole grain intake and T2D occurrence was performed, using a hierarchical mixed least square linear regression model. Eight observational studies were included (all but one prospective), with a total of 15,573 cases of T2D among 316,051 participants. Quantitative meta-regression demonstrated a significant linear inverse relationship between whole grain intake and T2D occurrence (P
    Original languageEnglish
    Article numbere0131377
    JournalPLoS ONE
    Volume10
    Issue number6
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed

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