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Background: Estimating the prevalence of food insecurity among vulnerable sub-groups, especially pregnant women, is significant. This study aimed to estimate the pooled prevalence of food insecurity among Iranian pregnant women and to determine its related factors., Materials and Methods: This study constitutes a systematic review and meta-analysis of cross-sectional studies involving pregnant women, published between January 2000 and September 2022, in English and Persian on seven databases. Finally, 14 studies were analyzed and synthesized, with the results presented in the form of forest plots. Heterogeneity was investigated using the I 2 index and the meta-regression to evaluate variables suspected of causing heterogeneity. Statistical analysis and synthesis were performed using Stata-16., Results: The pooled prevalence of food insecurity among Iranian pregnant women was 45% (95% confidence interval: 37-54%). In a multi-variable meta-regression model, p values were significant for the year of data collection and the type of the questionnaire. The adjusted I 2 and R 2 indices were estimated at 84.47 and 51.46%, respectively. The prevalence of food insecurity among Iranian pregnant women has been estimated at half a million., Conclusions: Given the high prevalence of food insecurity among pregnant women in Iran, we propose the inclusion of food insecurity screening for this vulnerable demographic within the primary healthcare package. Additionally, we advocate for the allocation of food subsidies to pregnant women confronting food insecurity., Competing Interests: Nothing to declare., (Copyright: © 2024 Iranian Journal of Nursing and Midwifery Research.)

Polycystic Ovary Syndrome (PCOS) and Autoimmune Thyroiditis (AIT) are two prevalent endocrine disorders affecting women, often coexisting within the same patient population. This meta-analysis aims to systematically assess and synthesize the existing body of literature to elucidate the intricate relationship between PCOS and AIT. A systematic literature search for relevant observational studies was conducted in electronic databases such as Web of Science, Google Scholar, PubMed, Cochrane, and Scopus until March 2023. All Statistical analyses were performed using CMA Software v3.7 in a random-effects network meta-analysis. In addition, sensitivity and meta-regression analyses were conducted to identify sources of Heterogeneity based on related risk factors. Our meta-analysis included eighteen studies with 3657 participants, which revealed significant differences between PCOS patients and control groups. In particular, a considerable association was detected between PCOS and the presence of AIT (OR = 2.38; 95% CI: 1.63-3.49; P< 0.001) and elevated levels of TSH (SMD = 0.24; 95% CI: 0.06-0.42; P= 0.01), anti-TPO (SMD = 0.36; 95% CI: 0.19-0.53; P< 0.001), anti-TG (SMD = 1.24; 95% CI: 0.37-2.10; P< 0.001), and other positive serum antibodies compared to the control groups. The findings from this meta-analysis may contribute to enhanced diagnostic strategies like complete thyroid function tests, more targeted interventions, and improved patient care for individuals presenting with both PCOS and AIT. Additionally, identifying commonalities between these conditions may pave the way for future research directions, guiding the development of novel therapeutic approaches that address the interconnected nature of PCOS and AIT., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article., (Copyright © 2024 Elsevier B.V. All rights reserved.)