Abstract

Coffee is widely consumed worldwide and impacts glucose metabolism. After a previous meta-analysis that evaluated the effects of coffee consumption on insulin resistance and sensitivity, additional randomized controlled trials (RCTs) were conducted. This meta-analysis aimed to evaluate the effects of coffee consumption on insulin resistance or sensitivity. We selected RCTs that evaluated the effects of coffee consumption for seven days or more on insulin sensitivity or resistance using surrogate indices (homeostasis model assessment for insulin resistance (HOMA-IR) and Matsuda index). The fixed-effects or random-effects model was used according to heterogeneity. Four studies with 268 participants were analyzed in this meta-analysis. Coffee consumption significantly decreased HOMA-IR compared to control (mean difference (MD) = −0.13; 95% CI = −0.24–−0.03; p-value = 0.01). However, the significance was not maintained in the sensitivity analysis (MD = −0.04; 95% CI = −0.18–0.10; p-value = 0.55) after excluding data from the healthy, young, normal-weight group. Matsuda index was not significantly different between coffee and control groups (standardized mean difference (SMD) = −0.33; 95% CI = −0.70–0.03; p-value = 0.08). In conclusion, long-term coffee consumption has a nonsignificant effect on insulin resistance and sensitivity. More studies evaluating the effects of coffee consumption in the healthy, young, and normal-weight individuals are needed.

Highlights

  • In a recent meta-analysis, coffee and decaffeinated coffee consumption did not significantly affect fasting blood glucose concentration (mean difference (MD) = 1.34 mg/dL; 95% confidence interval (CI) = −0.52–3.20 mg/dL and MD = 5.28 mg/dL; 95% CI = −5.34–15.91 mg/dL, respectively) [13]

  • Newer studies have been conducted since which makes it essential to evaluate the influence of coffee consumption on insulin resistance or sensitivity through a meta-analysis

  • This meta-analysis aimed to evaluate the effects of coffee consumption on insulin resistance or sensitivity

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. In a recent meta-analysis, coffee and decaffeinated coffee consumption did not significantly affect fasting blood glucose concentration (mean difference (MD) = 1.34 mg/dL; 95% CI = −0.52–3.20 mg/dL and MD = 5.28 mg/dL; 95% CI = −5.34–15.91 mg/dL, respectively) [13]. Coffee significantly altered fasting insulin concentration (MD = 1.1 μIU/mL; 95% CI = 0.17–2.03 μIU/mL) [13] Measurements of these concentrations have limitations in evaluating insulin sensitivity and resistance. The hyperinsulinemic-euglycemic clamp is the gold standard for assessing insulin sensitivity in humans [14] This method is not suitable for use in clinical practice because it is a time-consuming, labor-intensive, and expensive method, and requires skilled examiners. Few studies have assessed the effects of coffee consumption on insulin sensitivity/resistance indices. Newer studies have been conducted since which makes it essential to evaluate the influence of coffee consumption on insulin resistance or sensitivity through a meta-analysis. This meta-analysis aimed to evaluate the effects of coffee consumption on insulin resistance or sensitivity

Literature Search
Study Selection
Data Extraction and Quality Assessment
Data Synthesis and Statistical Analysis
Selected Studies
Design
HOMA-IR
Matsuda Index
Conclusions
Full Text
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