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 language | English |
|---|---|
| Article number | e0131377 |
| Journal | PLoS ONE |
| Volume | 10 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2015 |
| MoE publication type | A1 Journal article-refereed |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Systematic Review and Meta-Analysis of Human Studies to Support a Quantitative Recommendation for Whole Grain Intake in Relation to Type 2 Diabetes'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver