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Journal articles on the topic 'Quantitative autism traits'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Jussila, Katja, Kristen Lyall, Sanna Kuusikko-Gauffin, et al. "Familiality of Quantitative Autism Traits." Scandinavian Journal of Child and Adolescent Psychiatry and Psychology 3, no. 2 (2015): 126–35. http://dx.doi.org/10.21307/sjcapp-2015-013.

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Grove, Rachel, Andrew Baillie, Carrie Allison, Simon Baron-Cohen, and Rosa A. Hoekstra. "Exploring the quantitative nature of empathy, systemising and autistic traits using factor mixture modelling." British Journal of Psychiatry 207, no. 5 (2015): 400–406. http://dx.doi.org/10.1192/bjp.bp.114.155101.

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BackgroundAutism research has previously focused on either identifying a latent dimension or searching for subgroups. Research assessing the concurrently categorical and dimensional nature of autism is needed.AimsTo investigate the latent structure of autism and identify meaningful subgroups in a sample spanning the full spectrum of genetic vulnerability.MethodFactor mixture models were applied to data on empathy, systemising and autistic traits from individuals on the autism spectrum, parents and general population controls.ResultsA two-factor three-class model was identified, with two factor

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Miller, Catriona J., Evgeniia Golovina, Joerg S. Wicker, Jessie C. Jacobsen, and Justin M. O’Sullivan. "De novo network analysis reveals autism causal genes and developmental links to co-occurring traits." Life Science Alliance 6, no. 10 (2023): e202302142. http://dx.doi.org/10.26508/lsa.202302142.

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Autism is a complex neurodevelopmental condition that manifests in various ways. Autism is often accompanied by other conditions, such as attention-deficit/hyperactivity disorder and schizophrenia, which can complicate diagnosis and management. Although research has investigated the role of specific genes in autism, their relationship with co-occurring traits is not fully understood. To address this, we conducted a two-sample Mendelian randomisation analysis and identified four genes located at the 17q21.31 locus that are putatively causal for autism in fetal cortical tissue (LINC02210,LRRC37A

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Jussila, K., M. Junttila, M. Kielinen, et al. "Sensory Abnormality and Quantitative Autism Traits in Children With and Without Autism Spectrum Disorder in an Epidemiological Population." Journal of Autism and Developmental Disorders 50, no. 1 (2019): 180–88. http://dx.doi.org/10.1007/s10803-019-04237-0.

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Abstract Sensory abnormalities (SAs) are recognized features in Autism Spectrum Disorder (ASD), and a relationship between SAs and ASD traits is also suggested in general population. Our aims were to estimate the prevalence of SAs in three different settings, and to study the association between SAs and quantitative autism traits (QAT) using the Autism Spectrum Screening Questionnaire (ASSQ) and a parental questionnaire. In an epidemiological population of 8-year-old children (n = 4397), the prevalence of SAs was 8.3%, in an ASD sample (n = 28), 53.6%, and in a non-ASD sample (n = 4369), 8.0%,

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Mottron, Laurent, and Danilo Bzdok. "Autism spectrum heterogeneity: fact or artifact?" Molecular Psychiatry 25, no. 12 (2020): 3178–85. http://dx.doi.org/10.1038/s41380-020-0748-y.

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AbstractThe current diagnostic practices are linked to a 20-fold increase in the reported prevalence of ASD over the last 30 years. Fragmenting the autism phenotype into dimensional “autistic traits” results in the alleged recognition of autism-like symptoms in any psychiatric or neurodevelopemental condition and in individuals decreasingly distant from the typical population, and prematurely dismisses the relevance of a diagnostic threshold. Non-specific socio-communicative and repetitive DSM 5 criteria, combined with four quantitative specifiers as well as all their possible combinations, re

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Arora, Abishek, Francesca Mastropasqua, Sven Bölte, and Kristiina Tammimies. "Urine metabolomic profiles of autism and autistic traits–A twin study." PLOS ONE 19, no. 9 (2024): e0308224. http://dx.doi.org/10.1371/journal.pone.0308224.

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Currently, there are no reliable biomarkers for autism diagnosis. The heterogeneity of autism and several co-occurring conditions are key challenges to establishing these. Here, we used untargeted mass spectrometry-based urine metabolomics to investigate metabolic differences for autism diagnosis and autistic traits in a well-characterized twin cohort (N = 105). We identified 208 metabolites in the urine samples of the twins. No clear, significant metabolic drivers for autism diagnosis were detected when controlling for other neurodevelopmental conditions. However, we identified nominally sign

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De la Marche, Wouter, Ilse Noens, Sofie Kuppens, Jantine L. Spilt, Bart Boets, and Jean Steyaert. "Measuring quantitative autism traits in families: informant effect or intergenerational transmission?" European Child & Adolescent Psychiatry 24, no. 4 (2014): 385–95. http://dx.doi.org/10.1007/s00787-014-0586-z.

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Virkud, Yamini V., Richard D. Todd, Anna M. Abbacchi, Yi Zhang, and John N. Constantino. "Familial aggregation of quantitative autistic traits in multiplex versus simplex autism." American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 150B, no. 3 (2009): 328–34. http://dx.doi.org/10.1002/ajmg.b.30810.

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Dawson, Geraldine, Annette Estes, Jeffrey Munson, Gerard Schellenberg, Raphael Bernier, and Robert Abbott. "Quantitative Assessment of Autism Symptom-related Traits in Probands and Parents: Broader Phenotype Autism Symptom Scale." Journal of Autism and Developmental Disorders 37, no. 3 (2006): 523–36. http://dx.doi.org/10.1007/s10803-006-0182-2.

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Yong, Fung Lan, Florence Chuah, Loreta Ling Ling Uie, Ming Ha Lee, and Melinda Kong. "Lecturers’ Attitudes toward Autism Identity Development in Malaysia: A Quantitative Survey." Malaysian Journal of Social Sciences and Humanities (MJSSH) 10, no. 4 (2025): e003341. https://doi.org/10.47405/mjssh.v10i4.3341.

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The purpose of this study was to examine college lecturers’ attitudes toward autism (ASD) identity development in Malaysia. The Autism Identity Development Questionnaire was administered online to 44 lecturers to collect data that were subsequently analyzed using SPSS 26.0. Mann-Whitney U test revealed that there were no significant gender differences in lecturers’ attitudes, while Kurskal-Wallis H test indicated no significant differences in relation to age and job experience. Wilcoxon signed rank test showed that all 33 items were significant at p < 0.001, with medians showing significant

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Taylor, Sara C., Samantha Steeman, Brielle N. Gehringer, et al. "Heritability of quantitative autism spectrum traits in adults: A family‐based study." Autism Research 14, no. 8 (2021): 1543–53. http://dx.doi.org/10.1002/aur.2571.

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Tuzzi, Arjuna. "Grammar and Lexicon in Individuals With Autism: A Quantitative Analysis of a Large Italian Corpus." Intellectual and Developmental Disabilities 47, no. 5 (2009): 373–85. http://dx.doi.org/10.1352/1934-9556-47.5.373.

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Abstract Statistical and linguistic procedures were implemented to analyze a large corpus of texts written by 37 individuals with autism and 92 facilitators (without disabilities), producing written conversations by means of PCs. Such texts were compared and contrasted to identify the specific traits of the lexis of the group of individuals with autism and assess to what extent it differed from the lexis of the facilitators. The purpose of this research was to identify specific language features using statistical procedures to analyze contingency lexical tables that reported on the frequencies

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Napitupulu, Lisfarika, Ateerah Abdul Razak, Yohan Kurniawan, Tengku Nila Fadhlia, Yanwar Arief, and Sigit Nugroho. "Understanding the influence of personality traits on psychological well-being: A study of caregivers of children with autism spectrum disorder." Psikohumaniora: Jurnal Penelitian Psikologi 8, no. 2 (2023): 185–210. http://dx.doi.org/10.21580/pjpp.v8i2.17138.

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Caregivers of children with autism spectrum disorder experience psychological pressure, which can affect their psychological well-being. This study aims to identify the personality traits which influence such well-being. A quantitative method was employed, involving 213 Indonesian participants who were caregivers of children with autism attending special schools or enrolled at specialized therapy centers, selected through purposive sampling. The personality traits were measured using the IPIP-BFM-25 scale, while psychological well-being was assessed using the Psychological Well-Being Scale. Th

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Kim, Hyein, Hoe-Bin Jeong, Hye-Young Jung, Taesung Park, and Mira Park. "Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes." BioMed Research International 2019 (July 11, 2019): 1–10. http://dx.doi.org/10.1155/2019/4578983.

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To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism, deleterious phenotypes are unlikely due to the effects of single genes, but rather, gene-gene interactions (GGIs), which are widely analyzed by multifactor dimensionality reduction (MDR). Early MDR methods mainly focused on binary traits. More recently, several extensions of MDR have been developed for analyzing various traits such as quantitative traits and survival times. Newer technologies, such as genome-wide association studies (GWAS), have now been developed for assessing multiple traits,

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Martin, Loren, and Mary Joann Lang. "Quantitative autistic traits are transmitted intergenerationally and increase risk for autism spectrum disorders." Evidence Based Mental Health 18, no. 2 (2015): 49. http://dx.doi.org/10.1136/eb-2014-101983.

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Dell’Osso, Liliana, Claudia Carmassi, Ivan Mirko Cremone, et al. "Defining the Optimal Threshold Scores for Adult Autism Subthreshold Spectrum (AdAS Spectrum) in Clinical and General Population." Clinical Practice & Epidemiology in Mental Health 16, no. 1 (2020): 204–11. http://dx.doi.org/10.2174/1745017902016010204.

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Background: The Adult Autism Subthreshold Spectrum (AdAS Spectrum) is a recently developed instrument tailored to assess the broad range of full-threshold as well as sub-threshold manifestations related to the autism spectrum. Although it has proved to be a valuable instrument for quantitative assessment of autistic symptoms, the AdAS Spectrum still lacks validated diagnostic thresholds. Objective: The aim of this study was to define the best cut-off scores of the AdAS Spectrum for determining the presence of subthreshold autistic traits as well as a clinically significant autism spectrum diso

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Lai, Meng-Chuan, Michael V. Lombardo, Amber NV Ruigrok, et al. "Quantifying and exploring camouflaging in men and women with autism." Autism 21, no. 6 (2016): 690–702. http://dx.doi.org/10.1177/1362361316671012.

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Autobiographical descriptions and clinician observations suggest that some individuals with autism, particularly females, ‘camouflage’ their social communication difficulties, which may require considerable cognitive effort and lead to increased stress, anxiety and depression. Using data from 60 age- and IQ-matched men and women with autism (without intellectual disability), we operationalized camouflaging in adults with autism for the first time as the quantitative discrepancy between the person’s ‘external’ behavioural presentation in social–interpersonal contexts (measured by the Autism Dia

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Kim, Soo-Jeong, Raquel M. Silva, Cindi G. Flores, et al. "A quantitative association study of SLC25A12 and restricted repetitive behavior traits in autism spectrum disorders." Molecular Autism 2, no. 1 (2011): 8. http://dx.doi.org/10.1186/2040-2392-2-8.

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De la Marche, Wouter, Ilse Noens, Jan Luts, Evert Scholte, Sabine Van Huffel, and Jean Steyaert. "Quantitative autism traits in first degree relatives: evidence for the broader autism phenotype in fathers, but not in mothers and siblings." Autism 16, no. 3 (2011): 247–60. http://dx.doi.org/10.1177/1362361311421776.

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Turner, Emma, Emma Aitken, and Gareth Richards. "Autistic Traits, STEM, and Medicine: Autism Spectrum Quotient Scores Predict Medical Students’ Career Specialty Preferences." SAGE Open 11, no. 4 (2021): 215824402110503. http://dx.doi.org/10.1177/21582440211050389.

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There is a higher than chance representation of autistic people and people with elevated autistic traits in Science, Technology, Engineering and Mathematics (STEM) industries. Medical students, despite studying a STEM subject, have lower autistic traits than other STEM students. Medicine is heterogenous, covering technique-oriented specialties (e.g., surgery) with little patient interaction, person-oriented specialties (e.g., pediatrics), and general practice. We present an online survey in which 502 UK university students (medicine, n = 344; STEM, n = 94; non-STEM, n = 64) reported their stud

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Harsiwi, Eny Dwi, Endang Widyorini, and Maria Yang Roswita. "RELATIONSHIP IN MOTHER’S PERSONALITY WITH HEALTHY BEHAVIOR IN AUTISTIC CHILDREN WITH CARERING MEDIATION IN THE TIME OF THE COVID-19 PANDEMIC." Biopsikososial: Jurnal Ilmiah Psikologi Fakultas Psikologi Universitas Mercubuana Jakarta 5, no. 1 (2022): 379. http://dx.doi.org/10.22441/biopsikososial.v5i1.14566.

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Healthy behavior implementation is a main priority during this Covid-19 pandemic, especially for children with autistic disorder. Children with autistic disorder have a high risk of transmission if there is no help associated with health problems accompaniment. The purpose of this study is to determine whether there is an effect of personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness) on health behavior for children with autism, mediated by parenting in the COVID-19 pandemic. The study participants included 31 mothers who have children with ASD aged 6-1

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Isaksson, Johan, Mark J. Taylor, Karl Lundin, Janina Neufeld, and Sven Bölte. "Familial confounding on the ability to read minds: A co-twin control study." Autism 23, no. 8 (2019): 1948–56. http://dx.doi.org/10.1177/1362361319836380.

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Alterations in social cognition are hypothesized to underlie social communication challenges in autism spectrum disorder. However, the etiologic underpinnings driving this association, as well as the impact of other psychiatric conditions on the association, remain unclear. Using a co-twin control design, we examined n = 308 twins (mean age = 16.63; 46% females) with autism spectrum disorder, attention-deficit/hyperactivity disorder, affective disorders, or typical development using the Reading the Mind in the Eyes Test to operationalize social cognition ability. Clinical diagnosis of autism s

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Sung, Yun Ju, Geraldine Dawson, Jeffrey Munson, Annette Estes, Gerard D. Schellenberg, and Ellen M. Wijsman. "Genetic Investigation of Quantitative Traits Related to Autism: Use of Multivariate Polygenic Models with Ascertainment Adjustment." American Journal of Human Genetics 76, no. 1 (2005): 68–81. http://dx.doi.org/10.1086/426951.

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Tartarisco, Gennaro, Giovanni Cicceri, Davide Di Pietro, et al. "Use of Machine Learning to Investigate the Quantitative Checklist for Autism in Toddlers (Q-CHAT) towards Early Autism Screening." Diagnostics 11, no. 3 (2021): 574. http://dx.doi.org/10.3390/diagnostics11030574.

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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 us

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Savostyanov, A. N., D. A. Kuleshov, D. I. Klemeshova, M. S. Vlasov, and A. E. Saprygin. "Association of autistic personality traits with the EEG scores in non-clinical subjects during the facial video viewing." Vavilov Journal of Genetics and Breeding 28, no. 8 (2025): 1018–24. https://doi.org/10.18699/vjgb-24-108.

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A software information module of the experimental computer platform “EEG_Self-Construct” was developed and tested in the framework of this study. This module can be applied for identification of neurophysiological markers of self-referential processes based on the joint use of EEG and facial video recording to induce the brain’s functional states associated with participants’ personality traits. This module was tested on a group of non-clinical participants with varying degrees of severity of autistic personality traits (APT) according to the Broad Autism Phenotype Questionnaire. The degree of

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Smith, Philip, and Sarah Greenfield. "Towards Refined Autism Screening: A Fuzzy Logic Approach with a Focus on Subtle Diagnostic Challenges." Mathematics 12, no. 13 (2024): 2012. http://dx.doi.org/10.3390/math12132012.

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This study explores the creation and testing of a Fuzzy Inferencing System for automating preliminary referrals for autism diagnosis, utilizing membership functions aligned with the Autism Quotient 10-item questionnaire. Validated across three distinct datasets, the system demonstrated perfect accuracy in deterministic settings and an overall accuracy of 92.91% in a broad fuzzy dataset. The use of Fuzzy Logic reflects the complex and variable nature of autism diagnosis, suggesting its potential applicability in this field. While the system effectively categorized clear referral and non-referra

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Hu, Devlin, and Debski. "ASD Phenotype—Genotype Associations in Concordant and Discordant Monozygotic and Dizygotic Twins Stratified by Severity of Autistic Traits." International Journal of Molecular Sciences 20, no. 15 (2019): 3804. http://dx.doi.org/10.3390/ijms20153804.

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Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder characterized by impaired social communication coupled with stereotyped behaviors and restricted interests. Despite the high concordance rate for diagnosis, there is little information on the magnitude of genetic contributions to specific ASD behaviors. Using behavioral/trait severity scores from the Autism Diagnostic Interview-Revised (ADI-R) diagnostic instrument, we compared the phenotypic profiles of mono- and dizygotic twins where both co-twins were diagnosed with ASD or only one twin had a diagnosis. The

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Robertson, Ashley E., and David R. Simmons. "The Relationship Between Self-Reported Sensory Experiences and Autistic Traits in the General Population: A Mixed Methods Analysis." Focus on Autism and Other Developmental Disabilities 33, no. 3 (2016): 182–92. http://dx.doi.org/10.1177/1088357616667589.

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There have been few examples of inductive research in sensory reactivity, particularly in relation to autistic traits among the general population. This study used a mixed methods approach to explore the nature of sensory experiences among people with different levels of autistic traits. Participants completed the Glasgow Sensory Questionnaire and the Autism Spectrum Quotient. Both quantitative and qualitative analyses were performed on the data. Responses to the open questions were analyzed as part of this study, and the closed questionnaire data have been reported elsewhere. Data were coded

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Greven, Corina U., Jolanda M. J. van der Meer, Catharina A. Hartman, Martijn G. A. Lappenschaar, Jan K. Buitelaar, and Nanda N. J. Rommelse. "Do High and Low Extremes of ADHD and ASD Trait Continua Represent Maladaptive Behavioral and Cognitive Outcomes? A Population-Based Study." Journal of Attention Disorders 22, no. 10 (2015): 924–32. http://dx.doi.org/10.1177/1087054715577136.

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Objective: Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorders (ASD) are thought to reflect the high, symptomatic extreme of quantitative trait continua. However, extreme deviations in either direction on disorder continua, high and low, may both represent maladaptive behavioral and cognitive outcomes. We aimed to test this hypothesis. Method: In a population sample of 378 children, ADHD and ASD traits were rated by parents on questionnaires that provide resolution at high and low extremes of the ADHD and ASD trait continua. ADHD and ASD traits were related to parent-

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Powell, Georgie, Zoe Meredith, Rebecca McMillin, and Tom C. A. Freeman. "Bayesian Models of Individual Differences." Psychological Science 27, no. 12 (2016): 1562–72. http://dx.doi.org/10.1177/0956797616665351.

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According to Bayesian models, perception and cognition depend on the optimal combination of noisy incoming evidence with prior knowledge of the world. Individual differences in perception should therefore be jointly determined by a person’s sensitivity to incoming evidence and his or her prior expectations. It has been proposed that individuals with autism have flatter prior distributions than do nonautistic individuals, which suggests that prior variance is linked to the degree of autistic traits in the general population. We tested this idea by studying how perceived speed changes during pur

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Allison, Carrie, Simon Baron-Cohen, Sally Wheelwright, et al. "The Q-CHAT (Quantitative CHecklist for Autism in Toddlers): A Normally Distributed Quantitative Measure of Autistic Traits at 18–24 Months of Age: Preliminary Report." Journal of Autism and Developmental Disorders 38, no. 8 (2008): 1414–25. http://dx.doi.org/10.1007/s10803-007-0509-7.

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Taylor, Sara C., Zoe L. Smernoff, Maya Rajan, et al. "Investigating the relationships between resilience, autism-related quantitative traits, and mental health outcomes among adults during the COVID-19 pandemic." Journal of Psychiatric Research 148 (April 2022): 250–57. http://dx.doi.org/10.1016/j.jpsychires.2022.01.046.

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Andi, Nindya Markang, Milkhatun, and Widyastuti Dwi. "The Relationship between Personality Dimensions and Anxiety of Parents Who Have Children with Autism in Upt. Samarinda City Autism Service Center." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 07, no. 02 (2024): 553–58. https://doi.org/10.5281/zenodo.10652816.

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The existence of an autistic child affects family life, especially parents. With heavy parenting demands, parents experience pressure and may experience stress, anxiety or sadness. The aim of this research is to determine personality dimensions and the relationship between parental anxiety for autistic children in Upt. Autism Service Center in Samarinda City. This research is quantitative correlational with a cross sectional study design approach. The sampling technique uses a total sampling technique. Personality dimensions with HEXACO and anxiety with Cronbach's alpha are the instruments use

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Rus, Mihaela, Mihaela Luminița Sandu, and Cristina-Luiza Roșu. "Social representations and personality traits of parents of children with CES." „Black Sea” Journal of Psychology 14, no. 2 (2023): 55–67. http://dx.doi.org/10.47577/bspsychology.bsjop.v14i2.234.

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This paper explores the social representations and personality traits of parents of children with autism spectrum disorder (ASD). The study delves into the complex interplay between societal perceptions and the intrinsic personality characteristics of these parents, providing insights into how these factors influence their coping mechanisms and parenting strategies. Through a mixed-methodapproach, involving qualitative interviews and quantitative assessments using established personality inventories, the research captures the varied experiences of parents navigating the challenges of raising c

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Hong, Youngeun, Kyungjin Lee, Namhee Yoo, Jungwon Choi, and Yeni Kim. "Reliability and Validity of the Korean Version of the Quantitative Checklist for Autism in Toddlers: A Comparison Study Between the Clinical and Community Population." Psychiatry Investigation 22, no. 3 (2025): 231–42. https://doi.org/10.30773/pi.2024.0116.

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Objective This study aimed to evaluate the utility of the Korean version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in hospital settings and to identify items sensitive for detecting autism spectrum disorder (ASD) trait.Methods The Q-CHAT was administered to a clinical sample of children presenting with developmental delays with a high probability of ASD in a hospital setting (n=37), as well as to typically developing community children (n=67), aged 12 to 54 months.Results The mean Q-CHAT total score in the hospital sample (42.0±13.6) was significantly higher than in the com

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Vaiouli, Potheini, and Georgia Andreu. "<p>Promoting Communication for Young Children with Autism Spectrum Disorders: A Family-centered Music Therapy Intervention</p>." Electronic Journal of Research in Education Psychology 20, no. 58 (2022): 533–60. http://dx.doi.org/10.25115/ejrep.v20i58.6328.

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Introduction. Autism Spectrum Disorders (ASD) are a continuum of traits that may negatively affect social and emotional competencies of individuals, including challenges in their engagement abilities, possible limitations in reciprocal interactions, and inflexibility in initiating and sustaining communication. Such challenges may affect language development and speech acquisition. Considering their importance, this study explored the impact of a family-centered, music therapy intervention to promote preverbal and verbal communication skills of young children with ASD during parent–child, music

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Filippova, Yuliya Y., A. S. Alekseeva, and A. L. Burmistrova. "Leukocyte cytokine expression is associated with severity of autism in children." Russian Journal of Immunology 26, no. 4 (2023): 593–98. http://dx.doi.org/10.46235/1028-7221-13911-lce.

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Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with unknown etiology, high clinical heterogeneity and marked aberrations of the immune system. Evidence for an association between immune dysfunction and behavioral traits highlights the need for a study of the immune cell functional activity in order to search for pathogenesis mechanisms and potential targets for therapy at ASD. The purpose: to determine the expression levels of IL-1, IL-2, IL-4, IL-6, IL-10, IL-18, IFN and TNF in peripheral blood leukocytes of children with mild and severe ASD. The study included 81 chi

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Scaffei, Elena, Raffaele Mazziotti, Eugenia Conti, et al. "A Potential Biomarker of Brain Activity in Autism Spectrum Disorders: A Pilot fNIRS Study in Female Preschoolers." Brain Sciences 13, no. 6 (2023): 951. http://dx.doi.org/10.3390/brainsci13060951.

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Autism spectrum disorder (ASD) refers to a neurodevelopmental condition whose detection still remains challenging in young females due to the heterogeneity of the behavioral phenotype and the capacity of camouflage. The availability of quantitative biomarkers to assess brain function may support in the assessment of ASD. Functional Near-infrared Spectroscopy (fNIRS) is a non-invasive and flexible tool that quantifies cortical hemodynamic responses (HDR) that can be easily employed to describe brain activity. Since the study of the visual phenotype is a paradigmatic model to evaluate cerebral p

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Sano, Masuhiko, Tetsu Hirosawa, Yuko Yoshimura, et al. "Neural responses to syllable-induced P1m and social impairment in children with autism spectrum disorder and typically developing Peers." PLOS ONE 19, no. 3 (2024): e0298020. http://dx.doi.org/10.1371/journal.pone.0298020.

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In previous magnetoencephalography (MEG) studies, children with autism spectrum disorder (ASD) have been shown to respond differently to speech stimuli than typically developing (TD) children. Quantitative evaluation of this difference in responsiveness may support early diagnosis and intervention for ASD. The objective of this research is to investigate the relationship between syllable-induced P1m and social impairment in children with ASD and TD children. We analyzed 49 children with ASD aged 40–92 months and age-matched 26 TD children. We evaluated their social impairment by means of the S

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Hollingdale, Jack, Emma Woodhouse, Susan Young, Adie Fridman, and Will Mandy. "Autistic spectrum disorder symptoms in children and adolescents with attention-deficit/hyperactivity disorder: a meta-analytical review." Psychological Medicine 50, no. 13 (2019): 2240–53. http://dx.doi.org/10.1017/s0033291719002368.

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AbstractBackgroundResearch identifies highly variable prevalence estimates for autism spectrum disorder (ASD) in children and adolescents with attention deficit hyperactivity disorder (ADHD), particularly between community and clinical samples, warranting quantitative meta-analyses to investigate the true prevalence of ASD in children and adolescents with ADHD.MethodsStudies were identified through a systematic literature search of PsycINFO, MEDLINE and Web of Science through January 2018. Twenty-two publications met inclusion criteria (total N = 61 985). Two random effects meta-analyses were

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Piening, Sigrid, Ingrid D. C. van Balkom, Anne Fleur Stapert, et al. "Perspectives on Autism Spectrum Disorder Diagnosis, Symptoms, Treatment and Gender Roles: A Qualitative Study of Similarities and Differences between Sexes." International Journal of Environmental Research and Public Health 20, no. 24 (2023): 7183. http://dx.doi.org/10.3390/ijerph20247183.

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This study aims to compare the experiences of women and men of different age groups with regard to their first autism spectrum disorder (ASD) diagnosis, symptoms, treatment, and gender roles to inform our understanding in clinical practice of differences as well as similarities. Semi-structured interviews were conducted amongst 22 women (n = 12) and men (n = 10) in three adult age groups regarding their diagnostic process, symptoms, treatment, and gender roles. Participants also filled out questionnaires on gender traits, social support, coping, and quality of life. Framework analysis guidelin

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Lasch, Carolyn, Jason J. Wolff, and Jed T. Elison. "Examining criterion-oriented validity of the Repetitive Behavior Scales for Early Childhood (RBS-EC) and the Video-Referenced Rating of Reciprocal Social Behavior (vrRSB)." Development and Psychopathology 32, no. 3 (2019): 779–89. http://dx.doi.org/10.1017/s0954579419001159.

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AbstractImproved characterization of quantitative traits and dimensionally distributed complex behaviors during toddlerhood may improve early identification of autism spectrum disorder and related neurodevelopmental disorders. Parents of 205 community-ascertained toddlers (age: mean = 20.2, SD = 2.6 months) completed the Repetitive Behavior Scales for Early Childhood (RBS-EC) and the Video-Referenced Rating of Reciprocal Social Behavior (vrRSB), with longitudinal follow-up of behavioral assessments and/or another round of parent-report questionnaires. Criterion validity was examined both concu

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Howard, Philippa L., and Felicity Sedgewick. "‘Anything but the phone!’: Communication mode preferences in the autism community." Autism 25, no. 8 (2021): 2265–78. http://dx.doi.org/10.1177/13623613211014995.

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The communication skills and styles of autistic people have been the focus of much research, but little work has explored the communication preferences of autistic adults themselves. This study examined how autistic adults prefer to communicate in multiple scenarios. Two hundred and forty-five autistic adults completed a novel questionnaire that required six communication modes to be ranked in order of preference across seven different scenarios. Participants also provided qualitative responses to further explain their rankings, and completed the Autism Quotient, the Generalised Anxiety Disord

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Chen, G. K., N. Kono, D. H. Geschwind, and R. M. Cantor. "Quantitative trait locus analysis of nonverbal communication in autism spectrum disorder." Molecular Psychiatry 11, no. 2 (2005): 214–20. http://dx.doi.org/10.1038/sj.mp.4001753.

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Duvall, Jacqueline A., Ake Lu, Rita M. Cantor, Richard D. Todd, John N. Constantino, and Daniel H. Geschwind. "A Quantitative Trait Locus Analysis of Social Responsiveness in Multiplex Autism Families." American Journal of Psychiatry 164, no. 4 (2007): 656–62. http://dx.doi.org/10.1176/ajp.2007.164.4.656.

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Bensaida, M., M. A. Birem, and M. C. Mardaci. "Signes autistiques mineurs chez les parents d’enfants autistes." European Psychiatry 28, S2 (2013): 67. http://dx.doi.org/10.1016/j.eurpsy.2013.09.176.

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L’autisme est une pathologie à déterminisme génétique probable. Ainsi, des sujets apparentés aux patients autistes auraient des traits autistiques atténués. L’objectif de ce travail est de rechercher des traits autistiques chez les parents d’enfants suivis pour autisme. L’évaluation des traits autistiques mineurs a été réalisée à l’aide de l’Autism Spectrum Quotient (AQ) constitué de 50 items quantitatifs répartis en 5 sous-échelles. Les résultats démontrent l’existence de traits autistiques mineurs chez les apparentés d’enfants autistes.

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Jussila, Katja, Kristen Lyall, Sanna Kuusikko-Gauffin, et al. "Familiality of Quantitative Autism Traits." Scandinavian Journal of Child and Adolescent Psychiatry and Psychology 3, no. 2 (2014). https://doi.org/10.21307/sjcapp-2015-013.

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Autistic traits exist along a continuum that extends into social functioning in the general population, and they aggregate in the family members of children with autism spectrum disorder (ASD). Quantitative measures are therefore essential when investigating the patterns of familiality of these traits. Prior studies have suggested differential inheritance patterns of autistic traits that depend on the cognitive level of the child with ASD as well as the family type.Our goal was to examine the family patterns of quantitative autism traits (QAT) in a group of simplex autism families of high-func

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Lyall, Kristen, Aisha S. Dickerson, Annette M. Green, et al. "Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure?" Autism Research, January 8, 2025. https://doi.org/10.1002/aur.3296.

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ABSTRACTPrevalence of autism diagnosis has historically differed by demographic factors. Using data from 8224 participants drawn from the Environmental influences on Child Health Outcomes (ECHO) Program, we examined relationships between demographic factors and parent‐reported autism‐related traits as captured by the Social Responsiveness Scale (SRS; T score > 65) and compared these to relations with parent‐reported clinician diagnosis of ASD, in generalized linear mixed effects regression analyses. Results suggested lower odds of autism diagnosis, but not of SRS T > 65, for non‐Hispanic

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DiCriscio, Antoinette Sabatino, and Vanessa Troiani. "Pupil adaptation corresponds to quantitative measures of autism traits in children." Scientific Reports 7, no. 1 (2017). http://dx.doi.org/10.1038/s41598-017-06829-1.

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Gale-Grant, Oliver, Andrew Chew, Shona Falconer, et al. "Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort of toddlers." Scientific Reports 14, no. 1 (2024). http://dx.doi.org/10.1038/s41598-024-58907-w.

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AbstractIdentifying factors linked to autism traits in the general population may improve our understanding of the mechanisms underlying divergent neurodevelopment. In this study we assess whether factors increasing the likelihood of childhood autism are related to early autistic trait emergence, or if other exposures are more important. We used data from 536 toddlers from London (UK), collected at birth (gestational age at birth, sex, maternal body mass index, age, parental education, parental language, parental history of neurodevelopmental conditions) and at 18 months (parents cohabiting, m

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