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Meta-analysis shows intermittent fasting lowers BMI and fasting glucose in women with overweight or obesity

Meta-analysis shows intermittent fasting lowers BMI and fasting glucose in women with overweight…
Photo by Elena Leya / Unsplash
Key Takeaway
Consider intermittent fasting for BMI and glucose in women, but note heterogeneity and need for more trials.

This meta-analysis evaluated the effects of intermittent fasting on metabolic parameters in women with overweight or obesity. The pooled analysis included 1287 participants across multiple studies. The primary outcome was not reported, but secondary outcomes included BMI, fasting blood glucose, and blood pressure.

The analysis demonstrated that intermittent fasting significantly reduced BMI in the final model after excluding one influential study. The mean difference was -0.41 with a 95% CI of -0.81 to -0.02 and a P value of 0.0396. Fasting blood glucose also showed a significant reduction with a mean difference of -2.18 and a 95% CI of -3.20 to -1.16, with a P value less than 0.0001.

In contrast, no significant effect was observed on blood pressure. The authors highlighted substantial heterogeneity in the initial BMI model with an I2 value of 80.2%. Several subgroup estimates were based on limited evidence, and variation in intervention and comparator conditions was noted.

The certainty of the available evidence is limited due to heterogeneity and possible co-interventions. While intermittent fasting may improve BMI and fasting blood glucose in this population, further well-designed trials are needed to confirm findings and refine practical recommendations.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
This study aimed to assess the effects of intermittent fasting (IF) on prespecified clinically relevant outcomes, including BMI, fasting blood glucose (FBG), and blood pressure, in women with overweight or obesity, and to explore the dose–response relationship and moderating factors of the intervention. Following PRISMA guidelines, we systematically searched PubMed, Web of Science, PsycINFO, and the Cochrane Library (up to August 1, 2025) for eligible randomized controlled trials (RCTs). Twenty-two studies involving 1,287 women with overweight or obesity were included. Mean differences (MD) were pooled using a restricted maximum likelihood random-effects model (REML). Heterogeneity was evaluated via I2 and Q tests, while publication bias was assessed using sensitivity analyses, Egger's regression, and the trim-and-fill method. Subgroup analyses, meta-regression, and nonlinear dose–response models were used to identify moderators. IF significantly reduced BMI in the final BMI model after exclusion of one influential study (MD = −0.41, 95% CI: −0.81 to−0.02, P = 0.0396) and FBG (MD = −2.18, 95% CI:−3.20 to−1.16, P < 0.0001) in women with overweight or obesity, with no significant effect on blood pressure. The initial BMI model showed substantial heterogeneity (I2 = 80.2%). Subgroup analyses suggested variability across intervention characteristics and participant strata, but these findings should be interpreted cautiously because several subgroup estimates were based on limited evidence. Dose–response analysis suggested a relatively favorable modeled frequency around twice weekly, with effects remaining relatively stable across 1,285–2,895 total intervention hours. IF may improve BMI and FBG in women with overweight or obesity, whereas no significant effects were observed for blood pressure outcomes. The dose–response findings suggest potentially favorable intervention patterns, but these should be interpreted cautiously because of heterogeneity across studies, variation in intervention and comparator conditions, possible co-interventions, and the limited certainty of the available evidence. Further well-designed trials are needed to confirm these findings and refine practical recommendations. https://www.crd.york.ac.uk/PROSPERO/view/CRD420251178671, identifier: CRD420251178671.
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