Literature DB >> 24961855

Prevalence and early signs of autism spectrum disorder (ASD) among 18-36 month-old children of Tianjin in China.

Jun Ping Huang1, Shan Shan Cui1, Yu Han1, Hertz-Picciotto Irva2, Li Hong Qi2, Xin Zhang1.   

Abstract

OBJECTIVE: The aim of this study is to estimate the prevalence of autism spectrum disorder (ASD) among 18-36 month old children in the Tianjin Municipality of China, and to identify early signs of autistic children and the predictability of each individual symptom.
METHODS: A total of 8 000 children were screened to do a questionnaire based on CHAT modified to include more early signs of autism at the age of 18-36 months. Then the at-risk children were reexamined 1.5 years later and ASD children were identified based on DSM-IV. Early signs of autism were analyzed retrospectively by using discriminant function analysis performed among ASD children, children not followed up and children followed up but failing to meet ASD criteria.
RESULTS: Three hundred and sixty seven children were screened as being at-risk to ASD, and 22 of them were identified as having ASD in the subsequent diagnosis. The prevalence of ASD was 27.5 per 10 000 in Tianjin of China with a male to female ratio of 4:1. Items addressing social interactions and communications had higher predictability than other items to distinguish autistic children from non-autistic ones. Pretend play, functional play, showing and reading parents' facial expressions distinguished autistic children from those not followed up, nevertheless those followed up but failing to meet ASD criteria were not included.
CONCLUSION: The prevalence of ASD found in our study was lower than that reported in some studies by western researchers. Autism has its specific symptoms, such as deficits in social awareness, social relatedness, and social referencing.
Copyright © 2014 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.

Entities:  

Keywords:  Autism spectrum disorder; Discriminant function analysis; Early signs; Prevalence

Mesh:

Year:  2014        PMID: 24961855     DOI: 10.3967/bes2014.008

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


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