Autism Spectrum Quotient Research Articles

Exploring Gender Disparities in Autism Spectrum Disorders: Prevalence and Symptoms in Malaysia

In light of the considerable number of cases documented on an annual basis, autism spectrum disorder (ASD) has emerged as a condition with a rising prevalence in recent times. There is a greater prevalence of ASD in males than in females, both in terms of overall incidence and the presentation of symptoms. Additionally, males with ASD tend to exhibit more functional impairments and repetitive behaviors. To gain a deeper understanding of these variations, further research is required. The principal objective of this study is to ascertain whether there are gender disparities in the frequency and symptoms of autism spectrum disorders in Malaysia. The Malay translation of the Autism Spectrum Quotient – Children's Version and the Children's Autism Spectrum Test have been completed by parents or caregivers of fifty-two children between the ages of seven and twelve who have been diagnosed with autism spectrum disorder (ASD). The current research indicates that, in terms of prevalence, there is a ratio of 1:5 in favor of males over females. However, no clear differences were observed between the sexes in terms of ASD symptoms in this study group. Significant advances in the prevention or treatment of autism spectrum disorders in men and women can be achieved through systematic efforts to understand gender differences in the prevalence and symptoms of these diseases in Malaysia.

Social attention in the wild - fixations to the eyes and autistic traits during a naturalistic interaction in a healthy sample

Attention to social stimuli is a key component of social behavior and facilitates the development of fundamental social skills. Studies investigating social attention in neurotypical or neurodiverse populations have often relied on screen-based experiments using static images or videos, which lack the sensory richness and reciprocity present in real-life social interactions. This can possibly be attributed to the challenges one encounters when creating naturalistic experiments, such as dealing with dynamically moving areas of interest (AOIs), which require either time-intensive manual coding or restraining of participants. Here, we present findings from an experimental paradigm using unrestrained mobile eye-tracking and a face detection algorithm (MTCNN) to measure fixation rates during a semi-structured, face-to-face interview. Data from N = 62 healthy adult participants was analyzed for gaze behavior and related to participants’ autistic traits. We observed a significant negative correlation between fixation rates on the eye region averaged over the entire interaction and scores on the autism spectrum quotient (AQ) (r = −0.14), indicating participants with high autistic traits fixated less frequently on the eye region. We also compared different types of interview questions (open vs. closed) to explore whether the reduction in fixation rates was more pronounced for specific time intervals during the interview. Lastly, we discuss both possibilities for extensions as well as limitations of the presented paradigm that could serve as inspiration for future research.

The relationship between autistic traits and problematic smartphone use in adolescents: The serial mediating role of anxiety and executive dysfunction

BackgroundBased on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study aimed to explore the relationship between autistic traits and problematic smartphone use (PSU) among Chinese adolescents and to examine the serial mediation effect of anxiety and executive dysfunction in the association between autistic traits and PSU.MethodsThe Autism-Spectrum Quotient, Smartphone Addiction Scale, the trait version of the State–Trait Anxiety Inventory, and Dysexecutive Questionnaire were administered to a sample comprising 412 senior high school students (average age = 17.05 years, SD = 0.65). Structural equation models were utilized to explore the simple and serial mediating role of anxiety and executive dysfunction played in the association between autistic traits and PSU.ResultsThis study found that social rather than non-social autistic traits were positively associated with anxiety, executive dysfunction, and PSU. Furthermore, after controlling for gender, anxiety and executive dysfunction acted as sequential mediators in the connection between social autistic trait and PSU. However, non-social autistic trait did not predict anxiety, executive dysfunction, or PSU.ConclusionThis study supports the I-PACE model and deepens understanding of PSU formation. Furthermore, the findings underscore the importance of addressing social challenges faced by adolescents with high autistic traits, providing a viable potential intervention pathway to promote healthy smartphone use in this population.

Comparisons between obsessive-compulsive disorder and trichotillomania in terms of autistic traits and repetitive behaviors in adolescents

Background Our study aims to reveal the relationship between autistic traits and repetitive behaviors in adolescents diagnosed with obsessive-compulsive disorder and trichotillomania and to compare them to healthy controls. Method A total of 100 adolescents, 33 of whom were diagnosed with obsessive-compulsive disorder, 32 of whom were diagnosed with trichotillomania and 35 healthy controls, aged 11-18 years, who applied to a Child and Adolescent Psychiatry Outpatient Clinic between February 2023 and July 2023, were included in the study. Participants were evaluated with the Autism Spectrum Quotient (AQ)-Adolescent, Repetitive Behavior Scale-Revised (RBS-R), Children’s Yale-Brown Obsessive Compulsive Scale (CY-BOCS), and Clinical Global Impression Scale-Severity (CGI-S). SPSS 25.0 program was used in the analysis. p < 0.05 was accepted as the significance level. Results It was found that adolescents diagnosed with obsessive-compulsive disorder and trichotillomania had higher autistic trait levels compared to healthy controls, while there was no significant difference between the obsessive-compulsive disorder and trichotillomania groups. While stereotypic, routine, sameness, and restricted repetitive behaviors were more common in the obsessive-compulsive disorder and trichotillomania groups as opposed to healthy controls, it was found that compulsive behavior was more common in the obsessive-compulsive disorder group, and self-injurious behavior was more common in the trichotillomania group compared to healthy controls. Conclusion The findings of our study indicate that adolescents diagnosed with trichotillomania, similar to those with obsessive-compulsive disorder, have a higher level of autistic traits and repetitive behaviors. The authors believe it is crucial to focus on the social skill difficulties these adolescents may be experiencing.

The prevalence, correlates, and clinical implications of hoarding behaviors in high-functioning autism

This study aimed to investigate the relationships between hoarding behaviors, autism characteristics, and demographic factors in adults diagnosed with high-functioning ASD (Autism Spectrum Disorder). A total of 112 adults, aged 18–35, with high-functioning ASD completed self-reported assessments on hoarding (Savings Inventory-Revised; SI-R) and autism traits (Autism-Spectrum Quotient; AQ). Additionally, demographic data was gathered. Correlation and regression analyses were performed. The findings revealed positive correlations between hoarding and overall autism traits. Autism quotient scores accounted for 24% of the variance in hoarding inventory scores. Higher AQ scores were associated with increased SI-R scores. Specific AQ subscales were linked to particular SI-R subscales. Gender, age, education level, and employment status were connected to assessment scores. A multiple regression analysis revealed that demographic variables accounted for 19% of the variance in hoarding severity. Gender was found to moderate the impact of age on hoarding behaviors. Significant associations were identified between hoarding tendencies and autism traits in adults with ASD. Demographic variables also played a role in symptom presentation. These findings shed light on the relationship between autism characteristics and hoarding behaviors, as well as how external factors influence them. Further research is necessary to enhance understanding and guide interventions for hoarding in ASD populations.

Psychometric properties of the Ritvo Autism and Asperger Diagnostic Scale: Revised (RAADS-R) in the Persian language for Iranian adults

Objectives Autism Spectrum Disorder (ASD) typically manifests in childhood and continues into adulthood. There are very few validated scales for screening ASD during adulthood. This study aimed to measure the psychometric properties of the Ritvo Autism and Asperger Diagnostic Scale: Revised (RAADS-R) among Iranian adults. Methods A sample of 88 autistic individuals and 144 healthy controls were recruited. To establish concurrent validity, the scores on the questionnaire were correlated with the Autism Quotient (AQ) questionnaire. The construct validity of the RAADS-R was evaluated by examining its correlation with Social Responsiveness Scale (SRS), CGI (Clinical Global Impression) rating scale, and Stanford-Binet Intelligence Scale. We measured internal consistency using Cronbach’s Alpha, Spearman-Brown, and Guttman Split-Half Coefficients, and test-retest reliability. Results Internal consistency was obtained at 0.91 by Cronbach’s Alpha. The test-retest reliability of the RAADS-R was found to be excellent, with a coefficient of 0.91. A significant relationship between RAADS-R and AQ (r: 0.47), SRS (r: 0.86) and CGI (r: 0.94) was observed proving concurrent and construct validity. A Score of 67 showed optimal sensitivity (0.98) and specificity (0.99) in discriminating between normal and clinical populations. Conclusions Our findings showed favorability of Persian version of RAADS-R in indices of reliability and validity.

An examination of levels of depression, the probability of suicide, and autistic traits in medical faculty students: A cross-sectional study.

Depression and suicide attempts are reported to be high among medical students. It has also been reported that depression, suicide attempts, and autistic traits may be significantly related. The aim of this study was to determine the suicide probability and autistic traits of medical students with and without depression symptoms, and to examine the relationship between depression symptoms, suicide probability, and autistic traits together in these students. This cross-sectional study was conducted among 313 medical students, 206 female, and 107 male, who, according to the sociodemographic form, did not have any current psychiatric diagnosis, chronic medical or neurological disorders requiring treatment, or regular use of psychotropic medications, and who completed the forms in full. All the study participants completed a sociodemographic form, the Beck depression inventory (BDI), the suicide probability scale (SPS), and the autism spectrum quotient (ASQ).The entire study sample was divided into 2 groups: students with and without symptoms of depression, based on BDI scores. In the multivariate analysis, independent predictors of depression symptoms were examined using logistic regression analysis. The BDI total points (z = -13.99, P < .001), SPS total points (z = 10.61, P < .001), and subscale points of hopelessness (z = -9.28, P < .001), suicidal ideation (z = 8.48, P < .001), negative self-evaluation (z = -9.26, P < .001), and hostility (z = -8.10, P < .001), and the ASQ subscale points of communication (z = -5.05, P < .001), social skills (z = -6.05, P < .001), imagination (z = -3.27, P = .001), attention shifting (z = -4.35, P < .001), and ASQ total points (z = -6.64, P < .001) were significantly higher for the participants with BDI total points above the cutoff value compared to those with BDI total points below the cutoff value. Statistically significant positive correlations were found between BDI total points and SPS total points (R = 0.710, P < .001), ASQ total points (R = 0.451, P < .001), and between ASQ total points and SPS total points (R = 0.534, P < .001). The contribution of age, gender, ASQ, and SPS total points to explaining depression symptoms was evaluated using logistic regression analysis. This analysis showed that the SPS total points could be a significant predictor of depression symptoms (B = 0.112, P < .001). The findings of this study showed that the probability of suicide and the ASQ total and subscale points of communication, social skills, imagination, and attention shifting were significantly higher in medical students with symptoms of depression compared to those without depressive symptoms. Given the important relationship between symptoms of depression, suicidality, and autistic traits, it is crucial to raise awareness of these issues among medical education departments, health practitioners, medical students, and to provide the necessary guidance and clinical support for medical students to address these problems.

Exploring the links between sensory sensitivity, autistic traits and autism-related eating behaviours in a sample of adult women with eating disorders

This study examined the presence of autistic traits in a sample of adult women diagnosed with different Eating Disorders (ED), and explored the concurrent role of autistic traits and sensory sensitivity in influencing both their eating disorder symptomatology and their autism-related eating behaviours. Seventy-five women with different ED (Anorexia Nervosa, Bulimia Nervosa, Binge-Eating Disorder, Other Specified Feeding or Eating Disorder) completed the Eating Attitude Test (EAT-26), the Autism Quotient (AQ), the Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R), the Sensory Perception Quotient - Short Form 35 item (SPQ-SF35) and the Swedish Eating Assessment for Autism Spectrum Disorders (SWEAA). Twelve percent of participants scored above the cut-off on both the AQ and the RAADS-R, while 68% scored above the cut-off on the RAADS-R only. A mediation analysis revealed that the association between sensory sensitivity (SPQ-SFR35) and scores on both the EAT-26 and the SWEAA was significantly mediated by the presence of autistic traits (RAADS-R). These findings, first, confirm the presence of autistic traits in individuals with ED; second, they show that a lower sensory threshold (i.e., a higher sensory sensitivity) is associated with a higher presence of autistic traits which were, in turn, positively associated with dysfunctional eating behaviours typical of ED and ASD. This study ultimately highlights the importance of further research on autistic traits across all diagnostic categories of ED.

Autism Spectrum Disorder and Anorexia Nervosa: Investigating the Behavioural and Neurocognitive Overlap

Autism spectrum disorder (autism) and anorexia nervosa (AN) share many clinical features. Two key neurocognitive correlates of the autistic dyad, specifically, mentalising (social impairment) and set-shifting (restricted and repetitive behaviours/interests [RRBI]) were investigated in a sample of 327 adult participants with autism (n=100; 50 females, 50 male), AN (n=82; 54 females, 28 male), autism and AN (n=45; 36 females, 9 male), and 100 (50 female, 50 male) control participants from the general population. A battery of self-report (Autism Spectrum Quotient, Eating Disorder Examination Questionnaire, Reflective Function Questionnaire, and Repetitive Behaviour Questionnaire 2 – Adult version) and performance-based (Wisconsin Card Sort Task [WCST] and Penn Emotion Recognition Test [ER-40]) measures were administered online. Clinical participants reported greater mentalising difficulty, more repetitive behaviour, and displayed worse mentalising ability compared to controls, with no difference between the clinical groups. Eating disorder psychopathology predicted error (total and perseverative) rates on the WCST, while lower levels of autistic traits were positively associated with ER-40 accuracy. We provide evidence that clinical features of autism and AN might have specific neurocognitive relevance. Improved understanding of the mechanisms underlying the overlapping features of autism and AN can have critical implications for early detection and improved and tailored intervention.

The Prevalence of Autistic Traits in a Sample of Young Adults Referred to a Generalized Mental Health Outpatient Clinic.

The diagnosis of Autism Spectrum Disorders (ASD) is undergoing significant revisions, impacting prevalence estimates in the general population. Moreover, the rise of a dimensional perspective on psychopathology has broadened our understanding of autism, recognizing that subthreshold autistic features extend throughout the general population. However, there remains a limited understanding of the prevalence of ASD traits in individuals with psychiatric disorders, particularly in young adults, who are at an age where several mental health conditions emerge. The aim of this study was to evaluate the prevalence of ASD traits in a sample of young adults (18-24 years old) attending a generalized mental health outpatient clinic. A total of 259 young adult patients completed the self-report screening questionnaires Autism Quotient (AQ) and Ritvo Autism and Asperger Diagnostic Scale-Revised (RAADS-R). A total of 16.2% of our sample scored above the cut-off in both scales; this percentage decreased to 13.13% when restricting the RAADS-R cut-off to >119, as suggested for clinical samples. The association with sociodemographic features is discussed. We argue that screening for autistic traits should be integrated into the assessment of young adults presenting with nonspecific psychiatric symptoms or psychological distress. Although there is ongoing debate over the use of self-report screening tools, a positive result on both the AQ and RAADS-R should prompt clinicians to pursue a comprehensive diagnostic evaluation using structured or semi-structured interviews.

A novel screening instrument for the assessment of autism in German language: validation of the German version of the RAADS-R, the RADS-R.

The Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R) demonstrated excellent results in its original study, with a sensitivity of 97% and a specificity of 100% (Ritvo et al. in J Autism Dev Disord 41:1076-1089, 2011). As a result, it was included in the National Institute for Health and Care Excellence (NICE) guidelines (Recommendations | Autism spectrum disorder in adults: diagnosis and management | Guidance | NICE, 2022). The questionnaire includes 80 questions across four subcategories (language, social relatedness, circumscribed interests, sensory motor). So far, the subcategory sensory motor has not been addressed in most available instruments, despite being part of the diagnostic criteria specified in DSM-5 (Falkai et al., in Diagnostisches Und Statistisches Manual Psychischer Störungen DSM-5. Hogrefe, 2015) and ICD-11 (ICD-11 for Mortality and Morbidity Statistics, 2022). In our validation study, we tested a translated German version of the questionnaire in 299 individuals (110 persons with ASD according to ICD-10 F84.0, F84.5, 64 persons with an primary mental disorders (PMD), 125 persons with no disorders). To enhance the practical use of the instrument in clinical everyday practice, the questionnaire was completed by the participants without the presence of a clinician-unlike the original study. Psychiatric diagnoses were established following the highest standards, and psychometric properties were calculated using established protocols. The German version of the RADS-R yielded very good results, with a high sensitivity of 92.5% and a high specificity of 93.6%. The area under the curve (AUC = 0.976), indicates a high quality and discriminatory power of RADS-R. Furthermore, the ROC curve analysis showed that the optimal threshold to distinguish between the ASD and non-ASD groups in the German version of the RAADS-R is a score of 81. In comparison to the RADS-R, the co-administered instruments Social Responsiveness Scale (SRS), Autism Spectrum Quotient (AQ), and Empathy Quotient (EQ) each showed slightly better specificity but worse sensitivity in this sample.The study included individuals already diagnosed with ASD according to ICD-10 (F84.0, F84.5), with or without an primarymental disorders, preventing us from identifying the influence of comorbidities on the RADS-R results. In addition, a self-report questionnaire has generally only limited objectivity and may allow for false representation of the symptoms. The RADS-R compares well with other questionnaires and can provide valuable additional information. It could turn out to be a helpful diagnostic tool for patients in Germany. We propose naming the German version RADS-R (Ritvo Autism Diagnostic Scale - rRevised) to reflect the change in terminology.

Traits of Developmental Disorders in Adults With Listening Difficulties Without Diagnosis of Autism Spectrum Disorder And/or Attention-Deficit/Hyperactivity Disorder.

Background: Some individuals have a normal audiogram but have listening difficulties (LiD). As many studies have investigated the relationship between listening and developmental disorders, the traits of developmental disorders might explain the symptoms of LiD. In this study, we examined the traits of developmental disorders of adults with LiD to help clarify the cause of LiD symptoms. Methods: In total, 60 adults with LiD and 57 adults without LiD were included. Participants completed a questionnaire for the autism spectrum quotient (AQ) test, the Adult Attention-Deficit Hyperactivity Disorder Self-Rating Scale (A-ADHD), the Adolescent/Adult Sensory Profile (SP), and the severity of subjective LiD in daily life. Results: Before analysis, we excluded participants with LiD who were already diagnosed or met the criteria for autism spectrum disorder (ASD) or ADHD, and the results of the remaining 30 participants (50.0%) with LiD were analyzed. Adults with LiD showed higher scores than those without LiD in the AQ. Attention switching in the AQ and attention ability in the A-ADHD scale were correlated with the severity of LiD symptoms in everyday life. The AQ scores were also significantly correlated with subscales of the SP. Conclusions: Adults with LiD showed greater autistic traits than those without LiD; therefore, LiD symptoms are possibly related to autistic symptoms. Furthermore, adults with LiD might have attention disorder traits of both ASD and ADHD and sensory processing problems. These findings suggest that the attention problems in adults with LiD noted in previous studies might be related to these traits of developmental disorders.

Frequency and Mental Health Condition of Students with Developmental Disabilities Among First-Year Japanese University Students: A Cross-Sectional Survey.

Students with developmental disabilities are anxious about a change in environment when graduating from high school to college. Existing research, which is scarce, focuses on the mental health status of students with developmental disabilities entering university. This study investigated the frequency of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) among first-year Japanese university students and their mental health risks post-admission. We conducted a cross-sectional survey for university students within a month of admission, using the Autism Spectrum Quotient (AQ) and Adult ADHD Test (A-ADHD) to demonstrate the frequency of ASD and ADHD. The Counseling Center Assessment of Psychological Symptoms (CCAPS)-Japanese (depression, eating concerns, hostility, social anxiety, family distress, alcohol use, generalized anxiety, and academic distress) evaluated their mental health condition.Of 711 students (20.3 ± 2.1years; 330 male, 381 female), the number of those showing either ASD or ADHD tendencies was 61 (8.58%). Twenty-three (3.23%) showed symptoms of only ASD, 34 (4.78%) of ADHD, and four (0.56%) of ASD and ADHD. No significant differences existed in the frequency of ASD and ADHD between each sex and major. The scores and frequency of high risk (over the cut-off points) students on all CCAPS-Japanese subscales (except alcohol use) were significantly higher among the ASD and ADHD groups than the control group, which showed no ASD or ADHD tendencies. The frequency of ASD and ADHD characteristics among first-year Japanese university students was 8.58%. They have a high risk of mental health problems when they enter university.

The Reliability and Validity of the Korean Version of Autism Spectrum Quotient (AQ) Children's Version.

There is no validated screening measure for children with high-functioning autism spectrum disorder (ASD) in Korea. The purpose of the present study was (1) to examine the reliability and validity of the Korean version of the Autism Spectrum-Child (K-AQ-Child); (2) to find the optimal cut-off value of the K- AQ-Child in the Korean population. A total of 144 children aged 4-11 years (male 80.6%, mean age = 7.05 ± 1.75) were recruited in this study, with 72 in the high-functioning ASD group and 72 in the non-clinical Control group. The Cronbach's alpha coefficient of the K-AQ-child was 0.962, showing excellent internal consistency. For discriminant validity, the ASD group scored significantly higher than the Control group on the total score and all the scores of the subdomains of the K-AQ-Child after controlling for sex. Significant positive correlation between total scores of the K-AQ-Child and the K-SCQ was found. The optimal cut-off value of 58.5 yielded a sensitivity of 0.931 and specificity of 0.986. K-AQ-Child is a valid and reliable measure to quantify autistic traits and identify the high-risk individuals for further diagnostic evaluation in intellectually capable children aged 4-11 years. It would be useful for both clinical practice and research purposes. Clinical Trial Registration The trial was registered at the Clinical Research Information Service (CRIS) of Republic of Korea (Registration Number: KCT0008907).

Autistic traits linked to anxiety and dichotomous thinking: sensory sensitivity and intolerance of uncertainty as mediators in non-clinical population

A recent theoretical cognitive model posits that three cognitive constructs—intolerance of uncertainty, lack of predictive processing, and dichotomous thinking—may interact with anxiety in autistic individuals. However, the interrelationships among these constructs remain unclear. We investigated this relationship in a non-clinical population using five questionnaires (Autism Spectrum Quotient, Glasgow Sensory Questionnaire, Short Intolerance of Uncertainty Scale, Penn State Worry Questionnaire, and Dichotomous Thinking Inventory) and conducted a path analysis. Data were collected from 405 adults (aged 20–22 years) in Experiment 1 and 628 (aged 20–49 years) in Experiment 2. In both experiments, autistic traits were significantly associated with both anxiety and dichotomous thinking, mediated by intolerance of uncertainty. Autistic traits were linked to intolerance of uncertainty, mediated by atypical sensory processing. Furthermore, autistic traits were directly associated with anxiety. No direct association was observed between anxiety and dichotomous thinking. Our results confirm the validity of Stark’s cognitive model in a non-clinical population. These findings provide new insights into anxiety and dichotomous thinking and shed light on the cognitive styles of autistic individuals.

Neuroticism Mediates the Association between Autistic Traits and Choice Reaction Time among Young Adults.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that influences an individual's cognitive functions and social interaction. While most studies have focused on children and adolescents diagnosed with ASD, elevated levels of autistic traits in subclinical populations may also influence individuals' daily functioning. Autistic traits are also linked to the Big Five personality. In particular, neuroticism (emotion instability) has been shown to be positively associated with autistic traits, which may contribute to behavioral symptoms of autistic traits. The present study aimed to investigate the association between autistic symptoms and sensorimotor processing among a subclinical population. One hundred young adults (Mage = 20.32 years; SD = 3.69 years; 69 female) completed a choice reaction time (RT) task, and their behavioral performance was analyzed using the ex-Gaussian modeling. The Autism Quotient (AQ) and the Ten-Item Personality Inventory (TIPI) were used to assess autistic traits and neuroticism, respectively. The mediation analysis was conducted to examine the behavioral mechanism through which autistic traits influence sensorimotor processing. The results showed that the AQ score was negatively correlated with RT and positively correlated with neuroticism score. Importantly, the mediation analysis indicated an indirect effect, suggesting that neuroticism mediates the association between the AQ score and RT. The findings indicated a possible mechanism of the association between autistic traits and sensorimotor responses and suggested that neuroticism should be included as an intervention target for ASD. The present study contributes to the research on autistic traits and has practical implications for future intervention programs to improve daily functioning among individuals with ASD.

Perceived changes in mental health and social engagement attributed to a single psychedelic experience in autistic adults: results from an online survey.

Anecdotal reports suggest that psychedelic drugs can improve psychological wellbeing and social engagement in autistic people. However, there are few contemporary studies on this topic. To examine autistic participants' experiences with psychedelic drugs and the extent to which they attributed changes in mental health and social engagement to their most 'impactful' psychedelic experience. We also explored associations between these changes and mechanistically important variables (e.g., aspects of the acute psychedelic experience and changes in 'psychological flexibility'). Self-selecting autistic participants (n = 233) with high autism quotient scores completed an online survey relating to their most impactful psychedelic experience. Questionnaires assessed the acute psychedelic experience and perceived psychedelic-induced changes in distress, social engagement and psychological flexibility, among other relevant variables. The majority of participants attributed reductions in psychological distress (82%) and social anxiety (78%) and increases in social engagement (70%) to their most 'impactful' psychedelic experience. A substantial minority (20%) also reported undesirable effects such as increases in anxiety with some describing their psychedelic experience as among the most negatively impactful experiences of their lives. The only substantial predictor of reductions in psychological distress was increased psychological flexibility. Autistic people attributed changes in mental health and social engagement to a single highly impactful psychedelic experience. The results and their implications are discussed with caution considering the use of a non-experimental design and biased sampling.

The associations between self-rated autistic traits, social camouflaging, and mental health outcomes in Taiwanese anime, comics and games (ACG) doujin creators: an exploratory study

BackgroundDoujin (どうじん) is a Japanese term referring to a circle where people share the same interests, usually something that belongs to the Anime, Comics, and Games (ACG) subculture. Individuals who belong to it and create related works, known as ACG doujin creators, are usually described as socially awkward and at potential risk of isolation. In such a context, they may theoretically exhibit higher autistic traits and manifest camouflaging tendencies, which may consequently be associated with their mental health. Nonetheless, the impact of autistic traits and camouflaging on mental health in this subculture remains significantly underexplored.MethodsWe recruited 183 Taiwanese ACG doujin creators (age ranges from 18 to 41, 146 female and 37 male) via social networking platforms. Participants completed Chinese online surveys assessing socio-demographic information, doujin activities, past psychiatric history, the 35-item Version of Autism-Spectrum Quotient (AQ-35), Chinese version Camouflaging Autistic Traits Questionnaire (CAT-Q-Ch), the General Anxiety Disorder-7 (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9). Linear regression analysis was employed to examine the associations between the aforementioned scales.ResultsOur findings revealed that among ACG doujin creators, descriptively higher level of AQ-35 and CAT-Q-Ch than previous studies were found. Moreover, we observed a positive association between camouflaging behaviours and most AQ-35 subscales, with the exception of the mindreading subscale. Additionally, we identified that both camouflaging and autistic traits were significantly linked to higher PHQ-9 and GAD-7 scores.ConclusionsThrough this study, we gained insight into the distinctive characteristics of autistic traits, camouflaging behaviours, and mental health among Taiwanese ACG doujin creators, as the associations between the factors mentioned above are divergent compared to previous research. This topic demonstrated that camouflaging is also associated with adverse mental health in a subculture group.

Effect of Blended Music on Social Behaviours of Children with Autism Spectrum Disorder

The study aimed to investigate the effects of blended music on social behaviours of children with Autism Spectrum Disorder (ASD). The study was quantitative with a single group pretest- posttest research design. Children with ASD studying in special education institutes of Rawalpindi and Islamabad were the population of the study. After screening children for High Functioning Autism through the Autism Spectrum Quotient (AQ), twelve children were selected conveniently for the intervention. The Urdu version of the Social Responsiveness Scale (USRS-2) was used to measure the social behaviours of children with ASD. Blended music based on Raga Bilawal and Taal Keharwa was validated by the music experts for use during eight weeks of intervention. The data was collected before and after exposure to blended music. Mean scores for each positive and problematic social behaviour were calculated to decide upon the improvement in behaviour. The number of items showing improvement was calculated to decide upon the effect of blended music. 26% of positive behaviours were improved and 74% of problematic social behaviours were reduced. It was concluded that blended music was found effective in developing positive social behaviours and reducing the problematic social behaviours of children with ASD.

Data Mining Technique for Diagnosing Autism Spectrum Disorder

Early detection of autistic symptoms can help lower overall medical expenses, which is beneficial given that autism is a developmental disease that is associated with high medical costs. To assess whether or not a kid may have autism spectrum disorder (ASD), screening for ASD involves asking the child's parents, caregivers, and other members of the child's immediate family a series of questions. The current methods for screening for autism, such as the autistic quotient (AQ), might require a significant number of questions in addition to careful question design, which can make an autism examination more time-consuming. The effectiveness and reliability of the test could be improved, for example, by employing data mining strategies. It could be possible to create a system that can foretell ASD at an early stage and give patients, caregivers, and medical professionals dependable and precise findings on the probable need for expert diagnostic services. This research aims to develop a reliable model for estimating the likelihood of an individual being diagnosed with autism spectrum disorder between the ages of 4 and 17. To identify varying degrees of autism, one such model was constructed by utilizing the stochastic gradient descent (SGD) algorithm. Mining data is typically understood to be a decision-making process that enables more effective utilization of available resources in terms of overall performance. The results showed that the suggested prediction model, which used the stochastic gradient descent (SGD) algorithm, could find ASD with an average error of 0.03% and an accuracy of up to 94.5%.