Literature DB >> 29411255

Advanced Maternal Age and Maternal Education Disparity in Children with Autism Spectrum Disorder.

For-Wey Lung1,2, Tung-Liang Chiang3, Shio-Jean Lin4, Meng-Chih Lee5,6,7,8, Bih-Ching Shu9.   

Abstract

Objective Previous studies have shown inconsistent results with regard to the association between advanced parental age and autism spectrum disorder (ASD). The sociodemographic status of parents has been found to be associated with children with ASD, however. Therefore, a pathway analysis was undertaken of the roles of maternal age and education in ASD diagnosis and community screening, in a national birth cohort database, using a propensity score matching (PSM) method. Method The 6- and 66-month Taiwan Birth Cohort Study dataset was used (N = 20,095). The PSM exact matching method was used to select 1700 families (ratio of 1:4 between ASD diagnosis and control) from the Taiwan Birth Cohort Study dataset. Results (1) The results from the complete dataset and the PSM exact matching dataset both show that the risk of a child being diagnosed with ASD was increased by the mother being over 40 years old. (2) Although more children of mothers with lower-than-average education were positive on screening, more children of mothers with higher-than-average education were also diagnosed with ASD. Conclusions for Practice Advanced maternal age had a higher association with the diagnosis of ASD, and maternal educational disparity was found between ASD clinical diagnosis and community screening. Community and primary medical care services should pay more attention to children of parents with lower education during ASD screening to prevent delayed diagnosis.

Entities:  

Keywords:  M-CHAT; Propensity score matching; Taiwan Birth Cohort Study

Mesh:

Year:  2018        PMID: 29411255     DOI: 10.1007/s10995-018-2470-9

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  37 in total

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2.  Prevalence and incidence of autism spectrum disorders among national health insurance enrollees in Taiwan from 1996 to 2005.

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Review 3.  Perinatal and neonatal risk factors for autism: a comprehensive meta-analysis.

Authors:  Hannah Gardener; Donna Spiegelman; Stephen L Buka
Journal:  Pediatrics       Date:  2011-07-11       Impact factor: 7.124

4.  Gender and geographic differences in the prevalence of autism spectrum disorders in children: analysis of data from the national disability registry of Taiwan.

Authors:  Der-Chung Lai; Yen-Cheng Tseng; Yuh-Ming Hou; How-Ran Guo
Journal:  Res Dev Disabil       Date:  2012-01-11

5.  Effects of familial risk factors and place of birth on the risk of autism: a nationwide register-based study.

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Journal:  J Child Psychol Psychiatry       Date:  2005-09       Impact factor: 8.982

6.  Risk of autism and increasing maternal and paternal age in a large north American population.

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7.  Social class and infantile autism.

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Journal:  J Autism Dev Disord       Date:  1982-09

8.  Twin-singleton influence on infant development: a national birth cohort study.

Authors:  F-W Lung; B-C Shu; T-L Chiang; S-J Lin
Journal:  Child Care Health Dev       Date:  2009-05       Impact factor: 2.508

9.  How early do parent concerns predict later autism diagnosis?

Authors:  Sally Ozonoff; Gregory S Young; Mary Beth Steinfeld; Monique M Hill; Ian Cook; Ted Hutman; Suzanne Macari; Sally J Rogers; Marian Sigman
Journal:  J Dev Behav Pediatr       Date:  2009-10       Impact factor: 2.225

Review 10.  Cerebral palsy, autism spectrum disorders, and developmental delay in children born after assisted conception: a systematic review and meta-analysis.

Authors:  Dorte Hvidtjørn; Laura Schieve; Diana Schendel; Bo Jacobsson; Claus Svaerke; Poul Thorsen
Journal:  Arch Pediatr Adolesc Med       Date:  2009-01
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3.  A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability.

Authors:  Chao Song; Zhong-Quan Jiang; Li-Fei Hu; Wen-Hao Li; Xiao-Lin Liu; Yan-Yan Wang; Wen-Yuan Jin; Zhi-Wei Zhu
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  3 in total

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