APA
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Abdelrahim, D. N., Shihab, K. A., Khaled, M. B., AlKurd, R., Faris, M. A. I., & Salah Eddine, El Herrag. (2025). Effect of Ramadan Intermittent Fasting on Obesity and Cardiometabolic Risk Outcomes: An Umbrella Review of Meta-analyses. United Arab Emirates: University of Sharjah.
Chicago/Turabian
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Abdelrahim, Dana N., Katia Abu Shihab, Meghit Boumediene Khaled, Refat AlKurd, MoezAlIslam Faris, and Salah Eddine El Herrag. “Effect of Ramadan Intermittent Fasting on Obesity and Cardiometabolic Risk Outcomes: An Umbrella Review of Meta-Analyses.” 5th Forum for Women in Research. United Arab Emirates: University of Sharjah, 2025.
MLA
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Abdelrahim, Dana N., et al. Effect of Ramadan Intermittent Fasting on Obesity and Cardiometabolic Risk Outcomes: An Umbrella Review of Meta-Analyses. University of Sharjah, 2025.
BibTeX Click to copy
@conference{dana2025a,
title = {Effect of Ramadan Intermittent Fasting on Obesity and Cardiometabolic Risk Outcomes: An Umbrella Review of Meta-analyses},
year = {2025},
month = feb,
day = {20},
address = {United Arab Emirates},
organization = {University of Sharjah},
series = {5th Forum for Women in Research},
author = {Abdelrahim, Dana N. and Shihab, Katia Abu and Khaled, Meghit Boumediene and AlKurd, Refat and Faris, MoezAlIslam and Salah Eddine, El Herrag},
howpublished = {https://www.sharjah.ac.ae/-/media/project/uos/sites/uos/research/conferences/wirf2025/resources/booklet-5th-wir.pdf},
month_numeric = {2}
}
This umbrella review comprehensively summarizes meta-analyses on the impact of Ramadan intermittent fasting (RIF) on cardiometabolic and glucose homeostasis indicators.
Twenty meta-analyses on the effects of RIF body fat percentage (BFP), body mass index (BMI), body weight (BW), fat mass, fat-free mass, waist circumference (WC), blood pressure (SBP, DBP), lipids (HDL-C, LDL-C, TC, TG, and VLDL-C), fasting blood glucose (FBG), glycated hemoglobin (HbA1c), insulin resistance (HOMA-IR), and serum leptin, adiponectin, and insulin were examined.
RIF was associated with significant reductions in BW (Hedges’ G = -0.33; 95% CI = -0.37, -0.29; p-value = 2.63 × 10-52), WC (Hedges’ G = -0.30; 95% CI = -0.38, -0.23; p-value = 5.73 × 10-15), BFP (Hedges’ G = -0.26; 95% CI = -0.37, -0.14; p-value = 6.81 × 10-06), DBP (n=3,456; Hedges’ G = -0.26; 95% CI = -0.38, -0.15; p-value = 9.18 × 10-06), and TC levels (n=9,314; Hedges’ G = -0.16; 95% CI = -0.25, -0.07; p-value = 6.27 × 10-04), TG in overall analysis (n=16,688; Hedges’ G = -0.15; 95% CI = -0.22, -0.08; p-value < 0.01) and more profoundly among healthy subjects (n=9,020; Hedges’ G = -0.16; 95% CI = -0.24, -0.08; p-value = 6.87 × 10-05), as well as the reduction in FBG in the overall analysis (n=16,106; Hedges’ G = -0.23; 95% CI = -0.33, -0.13; p-value < 0.01).
These findings reaffirm the potential of RIF as a beneficial therapy and preventive measure for reducing cardiometabolic risks, inspiring and motivating further research in the field of metabolic health.