Pre and perinatal predictors on autism spectrum disorders: a case-control study in the west of Iran

Author:

Jenabi Ensiyeh,Salehi Amir Mohammad,Ayubi Erfan,Seyedi Mahdieh,Khazaei Salman,Jourmand Hanieh

Abstract

Abstract Introduction 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. Methods 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. Results 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. Conclusion 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.

Funder

Vice Chancellor for Research and Technology, Hamadan University of Medical Sciences

Publisher

Springer Science and Business Media LLC

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