Volume 37, Issue 1 (2-2023)                   Med J Islam Repub Iran 2023 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sadeghi S, Khatibi S R, Mahdizadeh M, Peyman N, Zare Dorniani S. Prevalence of Gestational Diabetes in Iran: A Systematic Review and Meta-analysis. Med J Islam Repub Iran 2023; 37 (1) :660-668
URL: http://mjiri.iums.ac.ir/article-1-8444-en.html
Department of Health Education and Health Promotion, Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran , zareds971@mums.ac.ir
Abstract:   (299 Views)
Background: Pregnant women who have gestational diabetes mellitus (GDM) are more prone to adverse pregnancy outcomes. We estimated the prevalence of GDM in Iran.
   Methods: Web of Science, Scopus, PubMed, Google Scholar, and Persian databases (SID, Magiran, Irandoc, and) were searched using the MeSH and non-MeSH terms in abstract, title, or keywords of articles until June 2021, with no limitation in time. Random effects models were applied to summarize the GDM prevalence in Iran. The obtained data were quantitatively analyzed to determine an effect size for each paper. The pooled effect size was introduced as prevalence and 95% confidence interval. Sensitivity analyses and subgroup analyses were done to determine heterogeneity. Publication bias was assessed by the classic fail-safe N and Egger test.
   Results: A total of 53 papers were considered for metaanalysis, involving 56,521 Iranians. The total GDM prevalence in Iran was 7.6% (95% CI, 6.1%–9.4%).
   Conclusion: This meta-analysis was the newest to estimate the GDM prevalence among Iranian women. Our results suggest a high prevalence of GDM in Iran, showing that Iran might have many GDM patients.
Full-Text [PDF 1038 kb]   (80 Downloads)    
Type of Study: Systematic Review | Subject: Health

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.