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“Risk of Autism Spectrum Disorder in Descendants of Women With Gestational Diabetes and Polycystic Ovary Syndrome: A Systematic Review and Meta‐Analysis”

多囊卵巢 自闭症谱系障碍 妊娠期糖尿病 荟萃分析 医学 后代 相对风险 混淆 怀孕 产科 自闭症 置信区间 儿科 糖尿病 内科学 内分泌学 妊娠期 精神科 胰岛素抵抗 生物 遗传学
作者
Francisca Bravo‐Muñoz,Isidora Bustos,Diana Muñoz‐Fierro,Sònia Fuentes Sanmartín,C. Tabilo,Macarena Véliz,Taide Zaror,Paulina Ormazabal,Nele Brusselaers,Romina Fornes
出处
期刊:Autism Research [Wiley]
卷期号:18 (10): 1916-1934
标识
DOI:10.1002/aur.70110
摘要

ABSTRACT Some reports show that children exposed to hyperandrogenemia or hyperglycemic states in utero are more prone to be diagnosed with autism spectrum disorder (ASD). This systematic review and meta‐analysis aim to assess the association between Polycystic Ovary Syndrome (PCOS) or gestational diabetes (GD) and ASD. A systematic review (1980–2023) in Web of Science, PubMed and Scopus, using specific search terms “gestational diabetes”, “polycystic ovary syndrome,” “neurodevelopmental disorder” and “autism spectrum disorder” was performed. Generic inverse‐variance method was used to pool the adjusted or crude effect measures with a random‐effects model. Results were presented as relative risk (RR) with 95% confidence interval (CI). Only studies from the northern hemisphere were found. All the articles evaluated the association between either GD ( n = 16) or PCOS (8) and ASD separately. The overall analysis revealed that there is an increased risk of ASD in the offspring of women diagnosed with GD [RR = 1.23 (95% CI 1.13–1.34), n = 14] and in women diagnosed with PCOS [RR = 1.35 (95% CI 1.17–1.56), n = 6]. In a sensitivity analysis, the risk of ASD was particularly higher in mothers with GD and obesity. Although both GD and PCOS have been associated with ASD in offspring, studies in other geographical regions are needed. Future research should investigate how varying androgen levels in PCOS and the timing of GD diagnosis might influence the observed associations. Additional studies are needed to confirm these associations, address potential confounding variables, and explore whether these maternal conditions contribute directly or indirectly to autism risk.

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