Efficacy of the ADEC in Identifying Autism Spectrum Disorder in Clinically Referred Toddlers in the US

2015 ◽  
Vol 45 (8) ◽  
pp. 2337-2348 ◽  
Author(s):  
Darren Hedley ◽  
Rose E. Nevill ◽  
Yessica Monroy-Moreno ◽  
Natalie Fields ◽  
Jonathan Wilkins ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Clinically Referred ◽  
The Us

scholarly journals Epidemiology of Injury-Related Emergency Department Visits in the US Among Youth with Autism Spectrum Disorder

2016 ◽  
Vol 46 (8) ◽  
pp. 2756-2763 ◽  
Author(s):  
Luther G. Kalb ◽  
Roma A Vasa ◽  
Elizabeth D. Ballard ◽  
Steven Woods ◽  
Mitchell Goldstein ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Emergency Department ◽  
Autism Spectrum ◽  
Emergency Department Visits ◽  
Spectrum Disorder ◽  
The Us

scholarly journals Postnatal Acetaminophen and Potential Risk of Autism Spectrum Disorder among Males

2020 ◽  
Vol 10 (1) ◽  
pp. 26
Author(s):  
Seth S. Bittker ◽  
Kathleen R. Bell
Keyword(s):  
Autism Spectrum Disorder ◽  
Population Attributable Fraction ◽  
Autism Spectrum ◽  
Attributable Fraction ◽  
Spectrum Disorder ◽  
Data Set ◽  
Increased Risk ◽  
The Us ◽  
And Gender ◽  
Gender Specific

Some evidence from the literature suggests that postnatal acetaminophen exposure may be associated with increased risk of autism spectrum disorder (ASD). Using a data set obtained from a previous study that was derived from an Internet-based survey among parents on 1515 children from the US, an adjusted odds ratio (aOR) and gender-specific aORs for doses of postnatal acetaminophen provided before age two were calculated against the outcome of ASD. Separately, parental uncertainty on the number of doses of acetaminophen provided was analyzed. A population attributable fraction (PAF) associated with postnatal acetaminophen exposure before age two for ASD among males was also estimated. Postnatal acetaminophen exposure, measured in doses before age two, was found to be associated with ASD among male children (aOR 1.023, CI 1.005–1.043, p = 0.020*), and parental uncertainty on the number of doses of acetaminophen provided before age two was also found to be associated with ASD. Using this data set, the PAF associated with postnatal acetaminophen was estimated to be about 40% of the risk of ASD among male children in the US. These results suggest the possibility that postnatal acetaminophen may be a significant contributor to the risk of ASD among males in the US.

Prevalence of Parent-Reported Diagnosis of Autism Spectrum Disorder Among Children in the US, 2007

PEDIATRICS ◽  
2009 ◽  
Vol 124 (5) ◽  
pp. 1395-1403 ◽  
Author(s):  
M. D. Kogan ◽  
S. J. Blumberg ◽  
L. A. Schieve ◽  
C. A. Boyle ◽  
J. M. Perrin ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
The Us

A commentary on interpreting the United States preventive services task force autism screening recommendation statement

Autism ◽  
2020 ◽  
pp. 136236132095746
Author(s):  
Emily Hickey ◽  
R Christopher Sheldrick ◽  
Jocelyn Kuhn ◽  
Sarabeth Broder-Fingert
Keyword(s):  
Autism Spectrum Disorder ◽  
Task Force ◽  
Preventive Services ◽  
The United States ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
Research Gaps ◽  
Task Force Report ◽  
The Us

In 2016, the US Preventive Services Task Force concluded that there was “insufficient” (“I” statement) evidence to support universal primary care screening for autism spectrum disorder. The statement led to controversy among research and clinical communities. Although a number of papers have since been published arguing for the potential benefit of autism spectrum disorder screening, none adequately address the potential harms of autism spectrum disorder screening. This evidence gap may relate to confusion regarding how the US Preventive Services Task Force conceptualizes and evaluates potential harm. In this commentary, we explore how the US Preventive Services Task Force operationalizes harm and discuss how the potential for harm was described in the “I” statement on autism spectrum disorder screening. This information can serve as a guide for investigators working to study the benefits and harms of autism spectrum disorder screening in order to fill the research gaps cited by the US Preventive Services Task Force report. Finally, we recommend future research directions for exploring harms of autism spectrum disorder screening, filling cited research gaps, and ultimately ensuring that the benefits of autism spectrum disorder screening truly outweigh the harms for all children and their families.

Cross-Cultural Comparison of the Participation at Home, at School, and in the Community of Children With Autism Spectrum Disorder in the US and Taiwan

2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512505162p1-7512505162p1
Author(s):  
Chiao-Ju Fang ◽  
Deborah Yun ◽  
Melissa M. Wong ◽  
Thanh Nguyen ◽  
Susan Pfeffer
Keyword(s):  
Autism Spectrum Disorder ◽  
Children With Autism ◽  
The United States ◽  
Autism Spectrum ◽  
Cross Cultural ◽  
Spectrum Disorder ◽  
Cultural Comparison ◽  
Cross Cultural Differences ◽  
Cross Cultural Comparison ◽  
The Us

Abstract Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. The aim of this study was to explore cross-cultural differences in the participation levels of children with autism spectrum disorder (ASD) in different settings (home, school, and the community). The findings indicated that children with ASD in the United States tend to have more resources and support than those in Taiwan. This study will enable OTs and researchers to better understand the differences between Western and Eastern countries. Primary Author and Speaker: Chiao-Ju Fang Additional Authors and Speakers: Deborah Yun, Melissa M. Wong Contributing Authors: Thanh Nguyen, Susan Pfeffer

scholarly journals Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder

2019 ◽  
pp. 34-65 ◽  
Author(s):  
Sampath Jayarathna ◽  
Yasith Jayawardana ◽  
Mark Jaime ◽  
Sashi Thapaliya
Keyword(s):  
Autism Spectrum Disorder ◽  
Negative Impact ◽  
Objective Measure ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
The Us ◽  
Electric Signals ◽  
The Brain

Autism spectrum disorder (ASD) is a developmental disorder that often impairs a child's normal development of the brain. According to CDC, it is estimated that 1 in 6 children in the US suffer from development disorders, and 1 in 68 children in the US suffer from ASD. This condition has a negative impact on a person's ability to hear, socialize, and communicate. Subjective measures often take more time, resources, and have false positives or false negatives. There is a need for efficient objective measures that can help in diagnosing this disease early as possible with less effort. EEG measures the electric signals of the brain via electrodes placed on various places on the scalp. These signals can be used to study complex neuropsychiatric issues. Studies have shown that EEG has the potential to be used as a biomarker for various neurological conditions including ASD. This chapter will outline the usage of EEG measurement for the classification of ASD using machine learning algorithms.

scholarly journals Factors Affecting Age at Initial Autism Spectrum Disorder Diagnosis in a National Survey

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Rebecca E. Rosenberg ◽  
Rebecca Landa ◽  
J. Kiely Law ◽  
Elizabeth A. Stuart ◽  
Paul A. Law
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Factors Affecting ◽  
Awareness Campaigns ◽  
The Us ◽  
Education And Awareness ◽  
Modifiable Factor ◽  
Family Based ◽  
Using Data

Entry into early intervention depends on both age of first parent concern (AOC) and age at initial autism spectrum disorder (ASD) diagnosis (AOD). Using data collected from a national online registry from 6214 children diagnosed with an ASD between 1994 and 2010 in the US, we analyzed the effect of individual, family, and geographic covariates on AOC and AOD in a multivariate linear regression model with random effects. Overall, no single modifiable factor associated with AOC or AOD emerged but cumulative variation in certain individual- and family-based features, as well as some geographic factors, all contribute to AOC and AOD variation. A multipronged strategy is needed for targeted education and awareness campaigns to maximize outcomes and decrease disparities in ASD care.

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