scholarly journals Longitudinal association between autistic traits and affinity for hikikomori in Japanese university students

2021 ◽  
Author(s):  
Yuuki Shimono ◽  
Akira Hasegawa ◽  
Kohei Tsuchihara ◽  
Keisuke Tanaka ◽  
Yuko Matsuda ◽  
...  
Keyword(s):  
Social Interaction ◽  
University Students ◽  
Structural Equation ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Equation Modeling ◽  
Autism Spectrum Quotient ◽  
Japanese University ◽  
Longitudinal Association ◽  
Academic Failures

AbstractThe affinity for hikikomori represents the desire to be withdrawn, as well as to entertain an empathetic attitude towards withdrawn individuals. It is composed of two subdimensions, the maladaptive desire for hikikomori, and empathy for others with hikikomori. This longitudinal study examined whether autistic traits predicted the affinity for hikikomori. At the baseline assessment, undergraduate and graduate students in Japan (N = 272) completed the Autism-Spectrum Quotient (AQ), the Affinity for Hikikomori Scale in University Students, and measures assessing academic failures and interpersonal conflicts. They also completed all measures excluding the AQ eight weeks later. Structural equation modeling indicated that difficulties in social interaction aspects of autistic traits were positively associated with academic failures at Time 2 even after controlling for academic failures at Time 1. In addition, difficulties in social interaction were positively related to the desire for hikikomori at Time 2 indirectly via academic failures at Time 2 after controlling for the desire for hikikomori at Time 1. Difficulties in social interaction were also directly associated with the increased desire for hikikomori at Time 2. These findings suggest that autistic traits, and especially difficulties in social interaction, are predictors of the maladaptive aspect of the affinity for hikikomori.

scholarly journals Lower help-seeking intentions and subsequent depressive symptoms among adolescents with high autistic traits: A population-based cohort study

2021 ◽  
Author(s):  
Mariko Hosozawa ◽  
Syudo Yamasaki ◽  
Shuntaro Ando ◽  
Kaori Endo ◽  
Yuko Morimoto ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Help Seeking ◽  
Structural Equation ◽  
Autistic Traits ◽  
Population Based ◽  
Autism Spectrum ◽  
Short Version ◽  
Autism Spectrum Quotient ◽  
Increased Risk ◽  
Multivariable Regression

AbstractBackgroundAdolescents with high autistic traits in the general population are at increased risk of depression. Despite the importance of help-seeking for early intervention, evidence on help-seeking intentions among this population is scarce.AimsTo examine the help-seeking intentions and preferences for depression by the level of autistic traits in adolescents, and test how help-seeking intentions mediate the association between autistic traits and depressive symptoms.MethodParticipants were from the Tokyo Teen Cohort, a population-based cohort in Japan. They were classified into two groups according to parent-rated autistic traits measured by the short-version of the Autism-Spectrum Quotient (≥6 as AQhigh). Help-seeking intentions and preferences were assessed at age 12 using a depression vignette. Depressive symptoms were self-rated at age 14 using the Short Mood and Feelings Questionnaire. Data were analysed using multivariable regression analysis and structural equation modelling.ResultsOf the 2,505 adolescents in the study, 200 (8%) were classified as AQhigh. In the AQhigh-group, 40% of the adolescents reported not having help-seeking intentions, although 93% recognised the need and 97% had someone to rely on. Parents of the AQhigh-group also reported fewer help-seeking intentions. The AQhigh-group was associated with an increased risk of not having help-seeking intentions (OR 1.83, 95%CI 1.35–2.49), which explained 19% of the above association.ConclusionsLower help-seeking intentions among adolescents with high autistic traits partially explained their increased risk for subsequent depressive symptoms. Interventions to promote help-seeking intentions among this population should involve both adolescents and their parents and ideally be provided before adolescence.

scholarly journals Kessler Psychological Distress (K6) Questionnaire Scores Can Predict Autistic Traits and the Current and Prospective Suicidal Ideation in Medical University Students: A Prospective Study

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402199459
Author(s):  
Yumi Naito ◽  
Noriyuki Enomoto ◽  
Yosuke Kameno ◽  
Hidenori Yamasue ◽  
Takafumi Suda ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Suicidal Ideation ◽  
University Students ◽  
Developmental Disorders ◽  
Autistic Traits ◽  
Mental States ◽  
Autism Spectrum ◽  
Lifestyle Changes ◽  
Autism Spectrum Quotient ◽  
Short Questionnaire

Mental distress is highly prevalent in university students, and autistic traits can hinder academic education. The substantial lifestyle changes experienced by new university students can induce mood and anxiety dysfunctions and subsequent suicide-related behaviors. The aims of this study were to evaluate the detectability of suicidal ideation using the Kessler Psychological Distress (K6) questionnaire, a short and easily administered measure, and to elucidate the relationship between K6 scores and developmental disorders following university admission in medical students. The mental states of 341 new students at University School of Medicine were prospectively evaluated using the short questionnaire including the K6 at admission and 6 months later. Participants were simultaneously assessed on the five core features of autism spectrum disorder (ASD), four features of attention-deficit hyperactivity disorder (ADHD), and presence of suicidal ideation on this short questionnaire. K6 scores were significantly higher 6 months after admission than at admission ( p = .028). Students with suicidal ideation had significantly higher K6 scores than those without ( p < .001), and K6 scores at admission differentiated students with suicidal ideation both at admission (area under the curve [AUC] = 0.947) and 6 months after admission (AUC = 0.913). K6 scores were positively correlated with scores of ASD- and ADHD-related items (ρ = .451 and .440, respectively) and with autism-spectrum quotient scores ( p = .041, ρ = .501). In conclusion, the K6 questionnaire may be useful in efficiently detecting university students with suicidal ideation or autistic traits.

scholarly journals Dimensions of Self-Reported Driving Difficulty in Autistic and Non-Autistic Adults and their Relationship with Autistic Traits

2022 ◽  
Author(s):  
Elizabeth Sheppard ◽  
Editha van Loon ◽  
Danielle Ropar
Keyword(s):  
Social Interaction ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
General Factor ◽  
Autism Spectrum Quotient ◽  
Attention Switching ◽  
Principle Components Analysis ◽  
Autistic People ◽  
Interaction Factor ◽  
Components Analysis

AbstractA survey asked autistic and non-autistic people about the driving difficulties they experience and their autistic traits. Principle components analysis was used to identify how reported difficulties clustered together in each group, and regression was used to determine which subscales of the Autism Spectrum Quotient predict these factors. For autistic drivers three factors of driving difficulty emerged: a Driving Executive factor, predicted by Attention Switching; a Driving Understanding factor, predicted by Communication; and a Driving Social Interaction factor, predicted by Attention Switching. For non-autistic drivers only one Driving General factor emerged, predicted by Communication. This suggests autistic people may experience at least three distinct domains of difficulty when driving which may relate to their particular profile of autistic features.

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 The Comprehensive Autistic Trait Inventory (CATI): development and validation of a new measure of autistic traits in the general population

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael C. W. English ◽  
Gilles E. Gignac ◽  
Troy A. W. Visser ◽  
Andrew J. O. Whitehouse ◽  
James T. Enns ◽  
...  
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Measurement Invariance ◽  
High Reliability ◽  
Predictive Ability ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Sensory Sensitivity ◽  
Wide Range

Abstract Background Traits and characteristics qualitatively similar to those seen in diagnosed autism spectrum disorder can be found to varying degrees in the general population. To measure these traits and facilitate their use in autism research, several questionnaires have been developed that provide broad measures of autistic traits [e.g. Autism-Spectrum Quotient (AQ), Broad Autism Phenotype Questionnaire (BAPQ)]. However, since their development, our understanding of autism has grown considerably, and it is arguable that existing measures do not provide an ideal representation of the trait dimensions currently associated with autism. Our aim was to create a new measure of autistic traits that reflects our current understanding of autism, the Comprehensive Autism Trait Inventory (CATI). Methods In Study 1, 107 pilot items were administered to 1119 individuals in the general population and exploratory factor analysis of responses used to create the 42-item CATI comprising six subscales: Social Interactions, Communication, Social Camouflage, Repetitive Behaviours, Cognitive Rigidity, and Sensory Sensitivity. In Study 2, the CATI was administered to 1068 new individuals and confirmatory factor analysis used to verify the factor structure. The AQ and BAPQ were administered to validate the CATI, and additional autistic participants were recruited to compare the predictive ability of the measures. In Study 3, to validate the CATI subscales, the CATI was administered to 195 new individuals along with existing valid measures qualitatively similar to each CATI subscale. Results The CATI showed convergent validity at both the total-scale (r ≥ .79) and subscale level (r ≥ .68). The CATI also showed superior internal reliability for total-scale scores (α = .95) relative to the AQ (α = .90) and BAPQ (α = .94), consistently high reliability for subscales (α > .81), greater predictive ability for classifying autism (Youden’s Index = .62 vs .56–.59), and demonstrated measurement invariance for sex. Limitations Analyses of predictive ability for classifying autism depended upon self-reported diagnosis or identification of autism. The autistic sample was not large enough to test measurement invariance of autism diagnosis. Conclusions The CATI is a reliable and economical new measure that provides observations across a wide range of trait dimensions associated with autism, potentially precluding the need to administer multiple measures, and to our knowledge, the CATI is also the first broad measure of autistic traits to have dedicated subscales for social camouflage and sensory sensitivity.

scholarly journals University Students’ Self-Rated Health in Relation to Perceived Acoustic Environment during the COVID-19 Home Quarantine

2021 ◽  
Vol 18 (5) ◽  
pp. 2538
Author(s):  
Angel M. Dzhambov ◽  
Peter Lercher ◽  
Drozdstoy Stoyanov ◽  
Nadezhda Petrova ◽  
Stoyan Novakov ◽  
...  
Keyword(s):  
Online Education ◽  
University Students ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Single Item ◽  
Acoustic Environment ◽  
Self Rated Health ◽  
Human And Nature

Background: Online education became mandatory for many students during the Coronavirus disease 2019 (COVID-19) pandemic and blurred the distinction between settings where processes of stress and restoration used to take place. The lockdown also likely changed perceptions of the indoor acoustic environment (i.e., soundscape) and raised its importance. In the present study, we seek to understand how indoor soundscape related to university students’ self-rated health in Bulgaria around the time that the country was under a state of emergency declaration caused by the COVID-19 pandemic. Methods: Between 17 May and 10 June 2020, we conducted a cross-sectional online survey among 323 students (median age 21 years; 31% male) from two universities in the city of Plovdiv, Bulgaria. Self-rated health (SRH) was measured with a single-item. Participants were asked how frequently they heard different types of sounds while at home and how pleasant they considered each of those sounds to be. Restorative quality of the home (the “being away” dimension of the Perceived Restorativeness Scale) was measured with a single-item. A priori confounders and effect modifiers included sociodemographics, house-related characteristics, general sensitivity to environmental influences, and mental health. Our analysis strategy involved sequential exploratory factor analysis (EFA), multivariate linear and ordinal regressions, effect modification tests, and structural equation modeling (SEM). Results: EFA supported grouping perceived sounds into three distinct factors—mechanical, human, and nature sounds. Regression analyses revealed that greater exposure to mechanical sounds was consistently associated with worse SRH, whereas no significant associations were found for human and nature sounds. In SEM, exposure to mechanical sounds related to lower restorative quality of the home, and then to poorer SRH, whereas nature sounds correlated with higher restorative quality, and in turn with better SRH. Conclusions: These findings suggest a role of positive indoor soundscape and restorative quality for promoting self-rated health in times of social distancing.

scholarly journals Higher Education in Times of COVID-19: University Students’ Basic Need Satisfaction, Self-Regulated Learning, and Well-Being

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110031
Author(s):  
Julia Holzer ◽  
Marko Lüftenegger ◽  
Selma Korlat ◽  
Elisabeth Pelikan ◽  
Katariina Salmela-Aro ◽  
...  
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Positive Emotion ◽  
Well Being ◽  
Need Satisfaction ◽  
Learning Motivation ◽  
Equation Modeling ◽  
Minor Effect ◽  
Self Regulated Learning ◽  
Regulated Learning

In the wake of COVID-19, university students have experienced fundamental changes of their learning and their lives as a whole. The present research identifies psychological characteristics associated with students’ well-being in this situation. We investigated relations of basic psychological need satisfaction (experienced competence, autonomy, and relatedness) with positive emotion and intrinsic learning motivation, considering self-regulated learning as a moderator. Self-reports were collected from 6,071 students in Austria (Study 1) and 1,653 students in Finland (Study 2). Structural equation modeling revealed competence as the strongest predictor for positive emotion. Intrinsic learning motivation was predicted by competence and autonomy in both countries and by relatedness in Finland. Moderation effects of self-regulated learning were inconsistent, but main effects on intrinsic learning motivation were identified. Surprisingly, relatedness exerted only a minor effect on positive emotion. The results inform strategies to promote students’ well-being through distance learning, mitigating the negative effects of the situation.

scholarly journals Cognitive and Affective Processes Associated with Social Biases

2021 ◽  
Author(s):  
Asuka Kaneko ◽  
Yui Asaoka ◽  
Young-A Lee ◽  
Yukiori Goto
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Autistic Traits ◽  
Social Judgment ◽  
Equation Modeling ◽  
Social Judgments ◽  
Social Conformity ◽  
Affective Processes ◽  
Negative Affects ◽  
Social Biases

Abstract Background Decision-making and judgments in our social activities often erroneous and irrational, known as social biases. However, cognitive and affective processes that produce such biases remain largely unknown. In this study, we investigated associations between social schemas, such as social judgment and conformity, entailing social biases and psychological measurements relevant to cognitive and affective functions. Method Forty-two healthy adult subjects were recruited in this study. A psychological test and a questionnaire were administered to assess biased social judgements by superficial attributes and social conformity by adherence to social norms, respectively, along with additional questionnaires and psychological tests for cognitive and affective measurements, including negative affects, autistic traits, and Theory of Mind (ToM). Associations of social judgment and conformity with cognitive and affective functions were examined multiple regression analysis and structural equation modeling. Results Anxiety and the cognitive realm of ToM were mutually associated with both social judgments and conformity, although social judgements and conformity were still independent processes with each other. Social judgements were also associated with autistic traits and the affective realm of ToM, whereas social conformity was associated with negative affects other than anxiety and intuitive decision-making style. Conclusions These results suggest that ToM and negative affects may play important roles in social judgements and conformity, and social biases connoted in these social schemas.

The Irritation Scale as an Instrument to Measure Stress among University Students

2013 ◽  
Vol 16 ◽  
Author(s):  
Enrique Merino-Tejedor ◽  
Joan Boada-Grau ◽  
José C. Sánchez-García ◽  
Pedro Miguel Hontangas-Beltrán
Keyword(s):  
Structural Equation Modeling ◽  
University Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Self Regulation ◽  
Equation Modeling ◽  
International Studies ◽  
Two Factors ◽  
Workplace Setting ◽  
General Self Efficacy

AbstractThe objective of this study was to verify the factor validity and structure of the “Irritation Scale” in a sample of 578 Spanish university students. At the same time, the study aimed to verify the criterion-related validity of the scale, analyzing the results obtained through correlation with other variables, such as general self-efficacy, self-regulation, depression, and certain personality dimensions. The results obtained through the Exploratory Structural Equation Modeling approach (ESEM) using Mplus confirmed the presence of two factors in the Irritation Scale, as observed in other international studies within a workplace setting. The significant correlations obtained between the Irritation Scale and the variables considered in the study confirmed the construct validity and verified that irritation is significantly and positively associated with depression and academic burnout, and is negatively associated with general self-efficacy and self-regulation.

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