Aims: The association between coffee consumption and risk of the metabolic syndrome (MetS) remains controversial. For this reason, a meta-analysis including dose–response analysis was conducted to quantitatively summarize the association between coffee intakes and MetS risk.
Methods: A search was made of PubMed and the China National Knowledge Infrastructure (CNKI) for relevant articles published between 1 January 1999 and 31 May 2015. All observational studies related to the relationship of coffee consumption and risk of MetS were included in the meta-analysis. The result was estimated by a random-effects model, while the dose–response relationship was assessed by a restricted cubic spline model.
Results: Eleven published reports including 13 studies with a total of 159,805 participants were eligible for our meta-analysis. The aggregated result (and 95% CI) for the highest vs lowest category of coffee consumption was 0.872 (0.781–0.975). After excluding one study with a relative risk (RR) < 0.300, the aggregated result (and 95% CI) was 0.889 (0.801–0.986). A non-linear relationship was found between coffee consumption and the MetS in the dose–response analysis.
Conclusion: This meta-analysis suggests that coffee consumption is associated with a low risk of MetS, and further studies to address the question of causality are now needed.
The post F Shang et al, 2015, Coffee consumption and risk of metabolic syndrome: a meta-analysis. Diabetes and Metabolism, published online ahead of print. appeared first on Coffee and Health.