Jenabi Ensiyeh, Salehi Amir Mohammad, Ayubi Erfan, Seyedi Mahdieh, Khazaei Salman, Jourmand Hanieh
Autism Spectrum Disorders Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Mother and Child Care Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Matern Health Neonatol Perinatol. 2024 Jul 3;10(1):13. doi: 10.1186/s40748-024-00183-7.
The constellation of pre and perinatal predictors are introduced as predictor for autism spectrum disorders (ASD), however, the information about the direction and strength of these predictors are lacking in Western, Iran. The current study aimed to determine the pre and perinatal predictors of ASD among children in this region.
This case-control study was conducted in Hamadan, Western Iran during January to March 2022. The study included 100 children with ASD who referred to the autism center as case group. Hundred children without ASD from registration system of health service centers were selected as control group and were matched (1:1) to cases by age and place of residency. A structured questionnaire about pre and perinatal predictors of ASD was developed by an expert panel. The questionnaire was administered by interviewing the mothers of children.
Boy gender (OR: 3.51, 95% CI: 1.74-7.10, p-value < 0.001), small for gestational age (SGA) (3.92, 1.64-9.39, 0.002), maternal diabetes (3.51, 1.03-24.95, 0.04) and family history of mental disorders (3.64, 1.18-11.27, 0.04) were identified as significant predictors in a multivariable analysis.
Our study emphasizes on the importance of screening and monitoring for ASD in the boys, those with history of SGA, from mothers with history of diabetes and with family history of mental disorders. Proposing the replication of findings emphasizes the necessity of conducting studies with larger sample sizes.
产前和围产期预测因素组合被作为自闭症谱系障碍(ASD)的预测指标引入,然而,在伊朗西部等西方国家,缺乏关于这些预测因素的方向和强度的信息。本研究旨在确定该地区儿童ASD的产前和围产期预测因素。
本病例对照研究于2022年1月至3月在伊朗西部的哈马丹进行。研究包括100名转诊至自闭症中心的患有ASD的儿童作为病例组。从卫生服务中心登记系统中选取100名无ASD的儿童作为对照组,并按年龄和居住地点与病例进行(1:1)匹配。一个专家小组编制了一份关于ASD产前和围产期预测因素的结构化问卷。通过与儿童母亲面谈来实施该问卷。
在多变量分析中,男性(比值比:3.51,95%置信区间:1.74 - 7.10,p值<0.001)、小于胎龄儿(SGA)(3.92,1.64 - 9.39,0.002)、母亲患糖尿病(3.51,1.03 - 24.95,0.04)和精神障碍家族史(3.64,1.18 - 11.27,0.04)被确定为显著的预测因素。
我们的研究强调了对男性、有SGA病史、母亲有糖尿病史以及有精神障碍家族史的儿童进行ASD筛查和监测的重要性。提出重复研究结果强调了进行更大样本量研究的必要性。