scholarly journals Association of phthalate exposure with autistic traits in children

2021 ◽  
Vol 157 ◽  
pp. 106775
Author(s):  
Johanna Inhyang Kim ◽  
Jung Lee ◽  
Kyung-Shin Lee ◽  
Young Ah Lee ◽  
Choong Ho Shin ◽  
...  
Keyword(s):  
Autistic Traits ◽  
Phthalate Exposure

Do "Autistic" Traits Predict Audiovisual Integration in Speech Perception?

2012 ◽  
Author(s):  
Joseph D. W. Stephens ◽  
Julian L. Scrivens ◽  
Amy A. Overman
Keyword(s):  
Speech Perception ◽  
Autistic Traits ◽  
Audiovisual Integration

Camouflaging in non-autistic adults is associated with poorer mental health

2019 ◽  
Author(s):  
Mark Somerville ◽  
Sarah E. MacPherson ◽  
Sue Fletcher-Watson
Keyword(s):  
Mental Health ◽  
Executive Function ◽  
Autistic Traits ◽  
Self Report ◽  
Linear Regression Models ◽  
Mental Health Symptoms ◽  
Health Symptoms ◽  
Autistic People ◽  
Autistic Adults ◽  
The Relationship

Camouflaging is a frequently reported behaviour in autistic people, which entails the use of strategies to compensate for and mask autistic traits in social situations. Camouflaging is associated with poor mental health in autistic people. This study examined the manifestation of camouflaging in a non-autistic sample, examining the relationship between autistic traits, camouflaging, and mental health. In addition, the role of executive functions as a mechanism underpinning camouflaging was explored. Sixty-three non-autistic adults completed standardised self-report questionnaires which measured: autistic traits, mental health symptoms, and camouflaging behaviours. In addition, a subset (n=51) completed three tests of executive function measuring inhibition, working memory, and set-shifting. Multiple linear regression models were used to analyse data. Results indicated that autistic traits are not associated with mental health symptoms when controlling for camouflaging, and camouflaging predicted increased mental health symptoms. Camouflaging did not correlate with any measure of executive function. These findings have implications for understanding the relationship between autistic traits and mental health in non-autistic people and add to the growing development of theory and knowledge about the mechanism and effects of camouflaging.

scholarly journals Developmental trajectories of autistic social traits in the general population

2021 ◽  
pp. 1-9
Author(s):  
Richard Pender ◽  
Pasco Fearon ◽  
Beate St Pourcain ◽  
Jon Heron ◽  
Will Mandy
Keyword(s):  
General Population ◽  
Full Range ◽  
Population Sample ◽  
Autistic Traits ◽  
Communication Disorders ◽  
Autism Spectrum ◽  
Growth Mixture Modelling ◽  
Autistic People ◽  
Social Difficulties ◽  
Autism Trait

Abstract Background Autistic people show diverse trajectories of autistic traits over time, a phenomenon labelled ‘chronogeneity’. For example, some show a decrease in symptoms, whilst others experience an intensification of difficulties. Autism spectrum disorder (ASD) is a dimensional condition, representing one end of a trait continuum that extends throughout the population. To date, no studies have investigated chronogeneity across the full range of autistic traits. We investigated the nature and clinical significance of autism trait chronogeneity in a large, general population sample. Methods Autistic social/communication traits (ASTs) were measured in the Avon Longitudinal Study of Parents and Children using the Social and Communication Disorders Checklist (SCDC) at ages 7, 10, 13 and 16 (N = 9744). We used Growth Mixture Modelling (GMM) to identify groups defined by their AST trajectories. Measures of ASD diagnosis, sex, IQ and mental health (internalising and externalising) were used to investigate external validity of the derived trajectory groups. Results The selected GMM model identified four AST trajectory groups: (i) Persistent High (2.3% of sample), (ii) Persistent Low (83.5%), (iii) Increasing (7.3%) and (iv) Decreasing (6.9%) trajectories. The Increasing group, in which females were a slight majority (53.2%), showed dramatic increases in SCDC scores during adolescence, accompanied by escalating internalising and externalising difficulties. Two-thirds (63.6%) of the Decreasing group were male. Conclusions Clinicians should note that for some young people autism-trait-like social difficulties first emerge during adolescence accompanied by problems with mood, anxiety, conduct and attention. A converse, majority-male group shows decreasing social difficulties during adolescence.

scholarly journals Use of Machine Learning to Investigate the Quantitative Checklist for Autism in Toddlers (Q-CHAT) towards Early Autism Screening

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 574
Author(s):  
Gennaro Tartarisco ◽  
Giovanni Cicceri ◽  
Davide Di Pietro ◽  
Elisa Leonardi ◽  
Stefania Aiello ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Performance ◽  
Behavioral Science ◽  
Autistic Traits ◽  
Classification Performance ◽  
Recursive Feature Elimination ◽  
Diagnostic Tools ◽  
Support Vector ◽  
K Nearest Neighbors ◽  
Autism Screening

In the past two decades, several screening instruments were developed to detect toddlers who may be autistic both in clinical and unselected samples. Among others, the Quantitative CHecklist for Autism in Toddlers (Q-CHAT) is a quantitative and normally distributed measure of autistic traits that demonstrates good psychometric properties in different settings and cultures. Recently, machine learning (ML) has been applied to behavioral science to improve the classification performance of autism screening and diagnostic tools, but mainly in children, adolescents, and adults. In this study, we used ML to investigate the accuracy and reliability of the Q-CHAT in discriminating young autistic children from those without. Five different ML algorithms (random forest (RF), naïve Bayes (NB), support vector machine (SVM), logistic regression (LR), and K-nearest neighbors (KNN)) were applied to investigate the complete set of Q-CHAT items. Our results showed that ML achieved an overall accuracy of 90%, and the SVM was the most effective, being able to classify autism with 95% accuracy. Furthermore, using the SVM–recursive feature elimination (RFE) approach, we selected a subset of 14 items ensuring 91% accuracy, while 83% accuracy was obtained from the 3 best discriminating items in common to ours and the previously reported Q-CHAT-10. This evidence confirms the high performance and cross-cultural validity of the Q-CHAT, and supports the application of ML to create shorter and faster versions of the instrument, maintaining high classification accuracy, to be used as a quick, easy, and high-performance tool in primary-care settings.

scholarly journals Diachronic Tendency and Thinking Style Across the Broader Autism Spectrum: Sources of Individual Differences?

2021 ◽  
Author(s):  
Stian Orm ◽  
Ella Holt Holmberg ◽  
Paul L. Harris ◽  
Maria Nunez ◽  
Francisco Pons
Keyword(s):  
Autistic Traits ◽  
Broader Autism Phenotype ◽  
Autism Spectrum ◽  
Inner Speech ◽  
Autism Spectrum Quotient ◽  
Present Moment ◽  
Thinking Style ◽  
Mental Images ◽  
High School Degree ◽  
Future Events

Abstract Objectives First, to see whether previous studies showing a limited capacity to spontaneously evoke the past and the future of a present moment (diachronic tendency) and a prevalence of mental images over inner speech (thinking style) in individuals with autism spectrum disorder could be replicated in individuals belonging to the broader autism phenotype. Second, to test the hypothesis that individuals thinking with mental images have a more limited diachronic tendency compared with individuals thinking with inner speech. Methods Adults (N = 309, Mage = 31.5 years, 76% women) with at least a high school degree were assessed with the Autism Spectrum Quotient, a test of diachronic tendency comprising four pictures varying in social interactivity and dynamicity, and a thinking style scale comprising three items representing three different everyday situations. Results The results showed that adults with many autistic traits have a limited diachronic tendency but only when the situation is socially interactive and dynamic, think more in mental images than individuals with no or few autistic traits but nevertheless still think more with inner speech than with mental images, and the more the participants reported thinking in inner speech, the more they evoked past and future events when describing a socially interactive and dynamic situation. Conclusions More autistic traits are associated with a limited diachronic tendency in socially interactive and dynamic situations and more thinking in mental images, and thinking style could be one of the determinants of diachronic tendency in socially interactive and dynamic situations.

scholarly journals Less Illusion of a Just World in People with Formally Diagnosed Autism and Higher Autistic Traits

2020 ◽  
Author(s):  
Alex Bertrams
Keyword(s):  
Information Processing ◽  
Individual Differences ◽  
Locus Of Control ◽  
Autistic Traits ◽  
Well Being ◽  
Autism Diagnosis ◽  
Just World ◽  
External Locus ◽  
General Belief ◽  
Autistic People

AbstractPeople differ in how strongly they believe that, in general, one gets what (s)he deserves (i.e., individual differences in the general belief in a just world). In this study (N = 588; n = 60 with a formal autism diagnosis), whether or not autistic people and those with high autistic traits have a relatively low general belief in a just world is examined. The results revealed the expected relationship between autism/higher autistic traits and a lower general belief in a just world. In a subsample (n = 388), personal belief in a just world, external locus of control, and self-deception mediated this relationship. These findings are discussed in terms of autistic strengths (less biased information processing) and problems (lowered well-being).

scholarly journals Associations among phthalate exposure, DNA methylation of TSLP, and childhood allergy

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Wan-Ru Wang ◽  
Nai-Tzu Chen ◽  
Nai-Yun Hsu ◽  
I-Ying Kuo ◽  
Hsin-Wen Chang ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Methylation Level ◽  
Respiratory Symptoms ◽  
Smoking Status ◽  
Phthalate Esters ◽  
Allergic Diseases ◽  
Percentage Increase ◽  
Phthalate Exposure ◽  
Settled Dust ◽  
Butyl Phthalate

Abstract Background Dysregulation of thymic stromal lymphopoietin (TSLP) expressions is linked to asthma and allergic disease. Exposure to phthalate esters, a widely used plasticizer, is associated with respiratory and allergic morbidity. Dibutyl phthalate (DBP) causes TSLP upregulation in the skin. In addition, phthalate exposure is associated with changes in environmentally induced DNA methylation, which might cause phenotypic heterogeneity. This study examined the DNA methylation of the TSLP gene to determine the potential mechanism between phthalate exposure and allergic diseases. Results Among all evaluated, only benzyl butyl phthalate (BBzP) in the settled dusts were negatively correlated with the methylation levels of TSLP and positively associated with children’s respiratory symptoms. The results revealed that every unit increase in BBzP concentration in the settled dust was associated with a 1.75% decrease in the methylation level on upstream 775 bp from the transcription start site (TSS) of TSLP (β =  − 1.75, p = 0.015) after adjustment for child’s sex, age, BMI, parents’ smoking status, allergic history, and education levels, PM2.5, formaldehyde, temperature; and relative humidity. Moreover, every percentage increase in the methylation level was associated with a 20% decrease in the risk of morning respiratory symptoms in the children (OR 0.80, 95% CI 0.65–0.99). Conclusions Exposure to BBzP in settled dust might increase children’s respiratory symptoms in the morning through decreasing TSLP methylation. Therefore, the exposure to BBzP should be reduced especially for the children already having allergic diseases.

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