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Journal ArticleDOI

Advancing Maternal Age Is Associated With Increasing Risk for Autism: A Review and Meta-Analysis

TLDR
An association between advancing maternal age and risk of autism is supported, and the meta-regression suggested a stronger maternal age effect in the studies with more male offspring and for children diagnosed in later years.
Abstract
Objective We conducted a meta-analysis of epidemiological studies investigating the association between maternal age and autism. Method Using recommended guidelines for performing meta-analyses, we systematically selected, and extracted results from, epidemiological scientific studies reported before January 2012. We calculated pooled risk estimates comparing categories of advancing maternal age with and without adjusting for possible confounding factors. We investigated the influence of gender ratio among cases, ratio of infantile autism to autism spectrum disorder (ASD), and median year of diagnosis as effect moderators in mixed-effect meta-regression. Results We found 16 epidemiological papers fulfilling the a priori search criteria. The meta-analysis included 25,687 ASD cases and 8,655,576 control subjects. Comparing mothers ≥35 years with mothers 25 to 29 years old, the crude relative risk (RR) for autism in the offspring was 1.52 (95% confidence interval [CI] = 1.12–1.92). Comparing mothers ≥35 with mothers 25 to 29, the adjusted relative risk (RR) for autism in the offspring was 1.52 (95% CI=1.12–1.92). For mothers Conclusions The results of this meta-analysis support an association between advancing maternal age and risk of autism. The RR increased monotonically with increasing maternal age. The association persisted after the effects of paternal age and other potential confounders had been considered, supporting an independent relation between higher maternal age and autism.

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Citations
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Journal ArticleDOI

The Changing Epidemiology of Autism Spectrum Disorders

TL;DR: Eviologic investigations focused on nongenetic factors have established advanced parental age and preterm birth as ASD risk factors, indicated that prenatal exposure to air pollution and short interpregnancy interval are potentialrisk factors, and suggested the need for further exploration of certain prenatal nutrients, metabolic conditions, and exposure to endocrine-disrupting chemicals.
Journal ArticleDOI

Identification, Evaluation, and Management of Children With Autism Spectrum Disorder.

TL;DR: This single clinical report updates the 2007 American Academy of Pediatrics clinical reports on the evaluation and treatment of ASD in one publication with an online table of contents and section view available to help the reader identify topic areas within the report.
Journal ArticleDOI

The contribution of environmental exposure to the etiology of autism spectrum disorder.

TL;DR: It is concluded that future research needs to consider categorical autism, broader autism phenotypes, as well as autistic traits, and examine more homogenous autism variants by subgroup stratification to enhance the understanding of role of environmental factors in the etiology of ASD.
Journal ArticleDOI

Systematic Review of the Prevalence and Incidence of Intellectual Disabilities: Current Trends and Issues

TL;DR: Heterogeneity in study settings, methodologies, age groups, and case definitions contributed to a range of prevalence estimates, and future research should include reproducible and consistent definitions of intellectual disabilities and monitor changes in prevalence over time.
Journal ArticleDOI

Prenatal, perinatal, and postnatal factors associated with autism: A meta-analysis.

TL;DR: A meta-analysis confirmed the relation between some prenatal, perinatal, and postnatal factors with autism, but it was still unclear that whether these factors are causal or play a secondary role in the development of autism.
References
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Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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Meta-analysis of observational studies in epidemiology - A proposal for reporting

TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.
Journal ArticleDOI

Conducting Meta-Analyses in R with the metafor Package

TL;DR: The metafor package provides functions for conducting meta-analyses in R and includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models.
Journal ArticleDOI

Autism as a strongly genetic disorder: evidence from a British twin study.

TL;DR: The findings indicate that autism is under a high degree of genetic control and suggest the involvement of multiple genetic loci.
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