scholarly journals Prenatal, perinatal, and postnatal factors associated with autism spectrum disorder cases in Xuzhou, China

2021 ◽  
Vol 10 (3) ◽  
pp. 635-646
Author(s):  
Zenghua Yong ◽  
Yunlong Dou ◽  
Yuchen Gao ◽  
Xuena Xu ◽  
Yanli Xiao ◽  
...  
2016 ◽  
Vol 92 (6) ◽  
pp. 595-601 ◽  
Author(s):  
Imen Hadjkacem ◽  
Héla Ayadi ◽  
Mariem Turki ◽  
Sourour Yaich ◽  
Khaoula Khemekhem ◽  
...  

2016 ◽  
Vol 92 (6) ◽  
pp. 595-601 ◽  
Author(s):  
Imen Hadjkacem ◽  
Héla Ayadi ◽  
Mariem Turki ◽  
Sourour Yaich ◽  
Khaoula Khemekhem ◽  
...  

2018 ◽  
Vol 48 (6) ◽  
pp. 2112-2121 ◽  
Author(s):  
Enrico Danzer ◽  
Casey Hoffman ◽  
Jo Ann D’Agostino ◽  
Judith S. Miller ◽  
Lindsay N. Waqar ◽  
...  

2012 ◽  
Vol 6 (1) ◽  
pp. 565-572 ◽  
Author(s):  
Dwight W. Irvin ◽  
Matthew McBee ◽  
Brian A. Boyd ◽  
Kara Hume ◽  
Samuel L. Odom

2016 ◽  
Vol 59 (1) ◽  
pp. 143-154 ◽  
Author(s):  
Helen Tager-Flusberg

Purpose Identifying risk factors associated with neurodevelopmental disorders is an important line of research, as it will lead to earlier identification of children who could benefit from interventions that support optimal developmental outcomes. The primary goal of this review was to summarize research on risk factors associated with autism spectrum disorder (ASD). Method The review focused on studies of infants who have older siblings with ASD, with particular emphasis on risk factors associated with language impairment that affects the majority of children with ASD. Findings from this body of work were compared to the literature on specific language impairment. Results A wide range of risk factors has been found for ASD, including demographic (e.g., male, family history), behavioral (e.g., gesture, motor) and neural risk markers (e.g., atypical lateralization for speech and reduced functional connectivity). Environmental factors, such as caregiver interaction, have not been found to predict language outcomes. Many of the risk markers for ASD are also found in studies of risk for specific language impairment, including demographic, behavioral, and neural factors. Conclusions There are significant gaps in the literature and limitations in the current research that preclude direct cross-syndrome comparisons. Future research directions are outlined that could address these limitations.


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