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The Effects of Sesame Consumption on Glycemic Control in Adults: A Systematic Review and Meta-Analysis of Randomized Clinical Trial Publisher



Yargholi A1 ; Najafi MH2 ; Zareian MA1 ; Hawkins J3 ; Shirbeigi L1 ; Ayati MH1
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Authors Affiliations
  1. 1. Department of Traditional Medicine, School of Persian Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
  2. 2. Department of Traditional Medicine, Faculty of Iranian Traditional Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Ardakan, Iran
  3. 3. Integrative Health, Franklin School of Integrative Health Sciences, Franklin, TN, United States

Source: Evidence-based Complementary and Alternative Medicine Published:2021


Abstract

Objectives. In recent years, diabetes has become a global health problem that creates a tremendous economic burden for many countries. Clinical trials evaluating the hypoglycemic effects of sesame consumption have produced conflicting results. This systematic review and meta-analysis was conducted to evaluate the effectiveness of sesame as a popular natural herb on glycemic indices in adults. Methods. The search for related articles in PubMed, Scopus, Google Scholar, and Cochrane library was conducted through May 2021. Results were reported as weighted mean differences (WMD) with 95% confidence intervals (CI) using a random-effects model. Results. A total of 605 studies were identified through online searching, and a total of eight RCTs representing 382 participants were included in this study. The meta-analyses revealed that sesame consumption significantly decreases serum fasting blood sugar (FBS): (WMD: -28.23 mg/dl; 95% CI (-39.16, -17.13), I2 = 97.6%; 95% CI (96, 98)), and hemoglobin A1c (HbA1c): (WMD: -1.00%; 95% CI (-1.11, -0.88), I2 = 0%; 95% CI (0, 79)) as compared to the control group. Conclusion. This study provides evidence of the hypoglycemic effects of sesame consumption, particularly in diabetic patients. Additional RCTs on sesame and its preparations should be conducted in different populations to increase generalizability. © 2021 Alireza Yargholi et al.
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