Emotional and behavioral problems in Japanese preschool children with subthreshold autistic traits: findings from a community-based sample.

BACKGROUND: Recently, there has been a growing recognition that autistic traits exist along a continuum beyond diagnostic categories and that even subclinical symptoms may be associated with an increased risk for the psychosocial well-being and mental health of children. However, as yet, there has been little research on whether preschool children with autism spectrum disorder (ASD) symptoms, who do not meet the diagnostic criteria for ASD, are more likely to experience difficulties. To address this deficit this study examined whether young children with subthreshold autistic traits have an increased risk for emotional/behavioral difficulties. METHODS: Data were analyzed from 1057 Japanese preschool children aged 5-years old collected during the first wave of the Tama Children's Survey (TCS) cohort study. Parent-reported autistic traits were assessed with the Social Responsiveness Scale (SRS), while they provided information on their child's emotional/behavioral problems using the Strengths and Difficulties Questionnaire (SDQ). Logistic regression analysis was used to examine associations. RESULTS: Preschool children with mild-to-moderate autistic traits, corresponding to subclinical autism were significantly more likely to score above the clinical thresholds for emotional/behavioral problems compared to children with fewer autistic traits. Follow-up diagnostic assessments and analyses of 72 children from the cohort confirmed these findings and showed that these children with subthreshold autistic traits also had a significantly lower intelligence quotient (IQ) as measured by the Wechsler Preschool and Primary Scale of Intelligence (WPPSI). CONCLUSIONS: Although subthreshold autistic traits are difficult to define due to the sometimes vague border between typical and atypical development, there may be a large number of preschool children with subthreshold autistic traits, who may have an increased risk for a variety of different emotional/behavioral difficulties as well as lower cognitive functioning.

Emotional and behavioral problems in Japanese preschool children with motor coordination difficulties: the role of autistic traits.

There has been little research on whether younger children with developmental coordination disorder (DCD) symptoms have an increased risk for emotional and behavioral problems. This study examined whether coordination difficulties are associated with emotional and behavioral problems (emotional symptoms, conduct problems, hyperactivity/inattention, peer problems, reduced prosocial behavior) in preschool children and the role of autistic traits in this association. Data (N = 1042, age 58-71 months) were analyzed from the Tama Children's Survey (TCS). The Little Developmental Coordination Disorder Questionnaire (LDCDQ) was used to measure coordination difficulty symptoms. Information was obtained on emotional/behavioral problems using the Strengths and Difficulties Questionnaire (SDQ) and on autistic traits with the Social Responsiveness Scale (SRS). Higher autistic traits were based on SRS cutoff scores (53.5 for boys and 52.5 for girls). Logistic regression analysis was used to assess associations between the variables. In adjusted models, children with probable DCD (pDCD) were significantly more likely to score above the clinical thresholds on all SDQ emotional/behavioral domains. However, nearly all of these associations became nonsignificant after including autistic traits in the analysis. Additional analyses showed that children with pDCD with higher autistic traits had significantly increased odds for emotional problems (odds ratio [OR]: 4.47, 95% confidence interval [CI]: 1.52-13.19), hyperactivity/inattention (OR: 3.74, 95% CI: 1.45-9.64), peer problems (OR: 15.81, 95% CI: 5.96-41.99), and total difficulties (OR: 28.78, 95% CI: 7.23-114.57), compared to children with pDCD alone. These results indicate that the increased risk of emotional/behavioral difficulties in preschool children with pDCD might be mediated by autistic traits.

Evaluating outcomes of a community-based parent training program for Japanese children with developmental disabilities: a retrospective pilot study.

Parent training (PT) for parents of children with developmental disabilities (DDs) has recently been recommended in community settings in many countries, including Japan. Research has shown PT could improve parenting skills and mental health in parents as well as improve adaptive skills and reduce behavioral problems in children. Despite evidence concerning the beneficial effects of PT on both parents and children, there is a lack of evidence concerning the potential benefits of PT in real world settings. Moreover, no research has examined whether PT programs implemented in clinical settings have a similar impact on all parents of children with various type of DDs. The present pilot study aimed to examine whether positive changes occur similarly in parental mental health and in the adaptive skills of children with DDs as a result of PT, irrespective of the children's disability type. The study used data from 128 parents who had participated in a PT program in a clinical setting and data concerning 128 children aged 2-17 years with a wide range of DDs, namely autism spectrum disorder, intellectual disability, and other DDs, generated through parental reports and retrospectively assessed the impact of PT on parents and their children. Specifically, changes in parental mental health and the adaptive skills of children were analyzed. The PT program was designed to help parents teach their children adaptive skills at home using applied behavior analytic techniques. The results showed that the parents improved their mental health significantly after completing the PT, irrespective of their child's disability type. During the PT period, almost all the parents were able to implement several instructional tasks targeted toward their children; some children with DDs acquired several adaptive skills. However, these positive changes were not observed in all the parents and their children. These findings suggest that some parents and their children with DDs may benefit from the PT program in a clinical setting. Concurrently, these findings highlight the importance of providing sustained additional support in clinical settings to parents and their children with DDs.

Self-administered questionnaires enhance emotion estimation of individuals with autism spectrum disorders in a robotic interview setting.

Background: Robots offer many unique opportunities for helping individuals with autism spectrum disorders (ASD). Determining the optimal motion of robots when interacting with individuals with ASD is important for achieving more natural human-robot interactions and for exploiting the full potential of robotic interventions. Most prior studies have used supervised machine learning (ML) of user behavioral data to enable robot perception of affective states (i.e., arousal and valence) and engagement. It has previously been suggested that including personal demographic information in the identification of individuals with ASD is important for developing an automated system to perceive individual affective states and engagement. In this study, we hypothesized that assessing self-administered questionnaire data would contribute to the development of an automated estimation of the affective state and engagement when individuals with ASD are interviewed by an Android robot, which will be linked to implementing long-term interventions and maintaining the motivation of participants. Methods: Participants sat across a table from an android robot that played the role of the interviewer. Each participant underwent a mock job interview. Twenty-five participants with ASD (males 22, females 3, average chronological age = 22.8, average IQ = 94.04) completed the experiment. We collected multimodal data (i.e., audio, motion, gaze, and self-administered questionnaire data) to train a model to correctly classify the state of individuals with ASD when interviewed by an android robot. We demonstrated the technical feasibility of using ML to enable robot perception of affect and engagement of individuals with ASD based on multimodal data. Results: For arousal and engagement, the area under the curve (AUC) values of the model estimates and expert coding were relatively high. Overall, the AUC values of arousal, valence, and engagement were improved by including self-administered questionnaire data in the classification. Discussion: These findings support the hypothesis that assessing self-administered questionnaire data contributes to the development of an automated estimation of an individual's affective state and engagement. Given the efficacy of including self-administered questionnaire data, future studies should confirm the effectiveness of such long-term intervention with a robot to maintain participants' motivation based on the proposed method of emotion estimation.

A new group-based online job interview training program using computer graphics robots for individuals with autism spectrum disorders.

Introduction: Job interviews are a major barrier to employment for individuals with autism spectrum disorders (ASD). During the coronavirus pandemic, establishing online job interview training at home was indispensable. However, many hurdles prevent individuals with ASD from concentrating on online job interview training. To facilitate the acquisition of interview skills from home for individuals with ASD, we developed a group interview training program with a virtual conferencing system (GIT-VICS Program) that uses computer graphics (CG) robots. Methods: This study investigated the feasibility of the GIT-VICS Program in facilitating skill acquisition for face-to-face job interviews in pre-post measures. In the GIT-VICS Program, five participants were grouped and played the roles of interviewees (1), interviewers (2), and human resources (2). They alternately practiced each role in GIT-VICS Program sessions conducted over 8 or 9 days over three consecutive weeks. Before and after the GIT-VICS Program, the participants underwent a mock face-to-face job interview with two experienced human interviewers (MFH) to evaluate its effect. Results: Fourteen participants completed the trial procedures without experiencing any technological challenges or distress that would have led to the termination of the session. The GIT-VICS Program improved their job interview skills (verbal competence, nonverbal competence, and interview performance). Discussion: Given the promising results of this study and to draw clear conclusions about the efficacy of CG robots for mock online job interview training, future studies adding appropriate guidance for manner of job interview by experts are needed.

Relationship between parental autistic traits and parenting difficulties in a Japanese community sample.

BACKGROUND: Previous studies have suggested an association between higher levels of parental autistic traits and negative aspects of parenting; however, the domain of autistic traits specifically associated with parenting difficulties has not been investigated yet. Moreover, it remains to be determined whether this association exists even after controlling for children's characteristics. AIMS: This study examined the relationship between each domain of parental autistic traits and parenting difficulties after controlling for children's characteristics in a Japanese community sample. METHODS AND PROCEDURES: Surveys were administered to 1373 Japanese adults who were parents to children in kindergartens, nursery schools, and elementary schools. OUTCOMES AND RESULTS: The results showed that parents with higher levels of autistic traits had more parenting difficulties. Even after controlling for children's sex, age, and emotional/behavioral problems, paternal impaired communication and maternal poor attention switching, impaired communication, and lack of imagination were related to higher parenting difficulties, while a higher maternal level of attention to detail was associated with lower difficulties in parenting. CONCLUSIONS AND IMPLICATIONS: The findings of this study highlight the importance of focusing on parental autistic traits and providing appropriate parenting support considering these traits.

Group-Based Online Job Interview Training Program Using Virtual Robot for Individuals With Autism Spectrum Disorders.

The rapid expansion of online job interviews during the COVID-19 pandemic is expected to continue after the pandemic has subsided. These interviews are a significant barrier for individuals with autism spectrum disorders (ASD). There is little evidence-based training for online job interviews for individuals with ASD, and the development of new trainings is expected. In an effort to facilitate online job interview skill acquisition for individuals with ASD, we developed a group-based online job interview training program using a virtual robot (GOT). In GOT, the interviewer and interviewee are projected as virtual robots on the screen. Five participants were grouped and performed the role of interviewee, interviewer, and evaluator. The participants performed all roles in a random order. Each session consisted of a first job interview session, feedback session, and second job interview session. The participants experienced 25 sessions. Before and after GOT, the participants underwent a mock online job interview with a human professional interviewer (MOH) to evaluate the effect of GOT. In total, 15 individuals with ASD took part in the study. The GOT improved self-confidence, motivation, the understanding of others' perspectives, verbal competence, non-verbal competence, and interview performance scores. There was also a significant increase in the recognition of the importance of the point of view of interviewers and evaluators after the second MOH compared to after the first MOH. Using a VR robot and learning the importance of interview skills by experiencing other perspectives (i.e., viewpoint of interviewer and evaluator) may have sustained their motivation and enabled greater self-confidence. Given the promising results of this study and to draw definitive conclusions regarding the efficacy of virtual reality (VR) robots for mock online job interview training, further studies with larger, more diverse samples of individuals with ASD using a longitudinal design are warranted.

Attention-deficit/hyperactivity disorder symptoms and sleep problems in preschool children: the role of autistic traits.

BACKGROUND: Sleep problems are elevated in children with attention-deficit/hyperactivity disorder (ADHD). However, until now there has been comparatively little research on the role of autistic traits in this association. The current study examined the association between ADHD symptoms and sleep problems in Japanese preschool children and whether autistic traits might also be important for this relationship. METHODS: Data were analyzed from 1053 children (average age 64.14 months, range 58-71; 50.3% male) that were drawn from the Tama Children's Survey (TCS). Parent-reported information was obtained on ADHD symptoms using the Strengths and Difficulties Questionnaire (SDQ) and autistic traits with the Social Responsiveness Scale Second Edition (SRS-2). Parents also provided information on three different categories of sleep problems experienced by their children - parasomnias, sleep disordered breathing and awakening/daytime problems. Ordinal logistic regression analysis was used to examine the associations. RESULTS: In analyses adjusted for sociodemographic factors, the mother's mental health and child's emotional problems, compared to children with no ADHD symptoms or autistic traits, children with only ADHD symptoms had significantly increased odds for only one of 11 individual sleep problems - waking in a negative mood. In contrast, children with comorbid ADHD symptoms and autistic traits had elevated odds for five sleep problems with odds ratios ranging from 2.10 (takes time to become alert in the morning) to 3.46 (excessive body movement while sleeping). CONCLUSIONS: Sleep problems may be especially elevated in children with comorbid ADHD symptoms and autistic traits.

Enhancing Communication Skills of Individuals With Autism Spectrum Disorders While Maintaining Social Distancing Using Two Tele-Operated Robots.

COVID-19 has affected many areas of daily life, including communication and learning. Social distancing is essential to prevent the spread of COVID-19. In these situations, teaching communication skills is essential for helping individuals with autism spectrum disorders (ASD) reach their full potential. To provide communication education while maintaining social distancing, we developed a communication training system using a tele-operated robot. In this system, we prepared a PC and a robot for each participant. The participants were grouped in pairs and communicated with each other through the tele-operated robot. The objective of this study was to test whether this system can maintain motivation for training in individuals with ASD and whether our system was useful for improving communication skills. Participants were randomly assigned to one of two groups: the taking a class by teachers alone (TCT) group or robot-mediated communication exercise (RMC) group. Participants in the TCT group took a class about communication skills from their teacher. Participants in the RMC group, in addition to taking a class by teacher, were grouped in pairs and communicated with each other through the tele-operated robot once a week over 4 weeks (for a total of five sessions). In total, twenty individuals with ASD participated in the study. One-way ANOVA revealed that there were significantly greater improvements in being good at describing their thoughts to others, which was self-rated (F = 6.583; p = 0.019), and good at listening to the thoughts or feelings of others, which was rated by themselves (F = 5.635; p = 0.029) and their teacher (F = 5.333; p = 0.033). As expected, the motivation for training using this system was maintained during a session. Overall, this study revealed that our system was useful for improving communication skills (e.g., listening to the thoughts or feelings of others). Teaching communication skills under pandemic conditions is important, and this study demonstrated the feasibility of communication training using tele-operated robots.

Stability of Autistic Traits from 5 to 8 Years of Age Among Children in the General Population.

Little is known about the across time stability of autistic traits during the transition period from preschool to school age in the general population. The current study compared autistic traits assessed by a mother-reported quantitative measure, the Social Responsiveness Scale, at age 5 and 8 years and examined the intraclass correlation coefficients of scores across the period for 168 Japanese community-based children. Results showed that total and two subdomain-related autistic trait scores remained primarily stable in males and females. This stability was observed for both children with higher and lower autistic traits scores with a possible sex-specific pattern. Our findings suggest that autistic traits in the general population can be reliably assessed using quantitative measures for this age period.

Association Between Autistic Traits in Preschool Children and Later Emotional/Behavioral Outcomes.

Although children with a greater number of autistic traits are likely to have other mental health problems, research on the association between earlier autistic traits in preschool children and later emotional/behavioral outcomes is scarce. Using data from 189 Japanese community-based children, this study examined whether autistic traits at age 5 were related to emotional/behavioral outcomes at age 7. The results showed that prior autistic traits were subsequently associated with all emotional/behavioral domains. After controlling for baseline emotional/behavioral scores autistic traits continued to predict later emotional symptoms and peer problems. This study highlights that in addition to clinical ASD, it is also important to focus on subthreshold autistic traits in preschool children for better subsequent emotional/behavioral outcomes.

Assessment of Autistic Traits in Children Aged 2 to 4½ Years With the Preschool Version of the Social Responsiveness Scale (SRS-P): Findings from Japan.

The recent development and use of autism measures for the general population has led to a growing body of evidence which suggests that autistic traits are distributed along a continuum. However, as most existing autism measures were designed for use in children older than age 4, to date, little is known about the autistic continuum in children younger than age 4. As autistic symptoms are evident in the first few years, to address this research gap, the current study tested the preschool version of the Social Responsiveness Scale (SRS-P) in children aged 2 to 4½ years in clinical (N = 74, average age 40 months, 26-51 months) and community settings (N = 357, average age 39 months, 25-50 months) in Japan. Using information obtained from different raters (mothers, other caregivers, and teachers) it was found that the scale demonstrated a good degree of internal consistency, inter-rater reliability and test-retest reliability, and a satisfactory degree of convergent validity for the clinical sample when compared with scores from diagnostic "gold standard" autism measures. Receiver operating characteristic analyses and the group comparisons also showed that the SRS-P total score discriminated well between children with autism spectrum disorder (ASD) and those without ASD. Importantly, this scale could identify autistic symptoms or traits distributed continually across the child population at this age irrespective of the presence of an ASD diagnosis. These findings suggest that the SRS-P might be a sensitive instrument for case identification including subthreshold ASD, as well as a potentially useful research tool for exploring ASD endophenotypes. Autism Res 2017, 10: 852-865. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.

Brief report: large individual variation in outcomes of autistic children receiving low-intensity behavioral interventions in community settings.

BACKGROUND: Despite widespread awareness of the necessity of early intervention for children with autism spectrum disorders (ASDs), evidence is still limited, in part, due to the complex nature of ASDs. This exploratory study aimed to examine the change across time in young children with autism and their mothers, who received less intensive early interventions with and without applied behavior analysis (ABA) methods in community settings in Japan. METHODS: Eighteen children with autism (mean age: 45.7 months; range: 28-64 months) received ABA-based treatment (a median of 3.5 hours per week; an interquartile range of 2-5.6 hours per week) and/or eclectic treatment-as-usual (TAU) (a median of 3.1 hours per week; an interquartile range of 2-5.6 hours per week). Children's outcomes were the severity of autistic symptoms, cognitive functioning, internalizing and externalizing behavior after 6 months (a median of 192 days; an interquartile range of 178-206 days). In addition, maternal parenting stress at 6-month follow-up, and maternal depression at 1.5-year follow-up (a median of 512 days; an interquartile range of 358-545 days) were also examined. RESULTS: Large individual variations were observed for a broad range of children's and mothers' outcomes. Neither ABA nor TAU hours per week were significantly associated with an improvement in core autistic symptoms. A significant improvement was observed only for internalizing problems, irrespective of the type, intensity or monthly cost of treatment received. Higher ABA cost per month (a median of 1,188 USD; an interquartile range of 538-1,888 USD) was associated with less improvement in language-social DQ (a median of 9; an interquartile range of -6.75-23.75). CONCLUSIONS: To determine an optimal program for each child with ASD in areas with poor ASD resources, further controlled studies are needed that assess a broad range of predictive and outcome variables focusing on both individual characteristics and treatment components.

Brief Report: Best Discriminators for Identifying Children with Autism Spectrum Disorder at an 18-Month Health Check-Up in Japan.

To determine the best discriminative items for identifying young children with autism spectrum disorders (ASD), we conducted a secondary analysis using longitudinal cohort data that included the Japanese version of the 23-item modified checklist for autism in toddlers (M-CHAT-JV). M-CHAT-JV data at 18 months of age and diagnostic information evaluated at age 3 or later from 1851 Japanese children was used to isolate six highly discriminative items. Using data from two different community samples (n = 1851, n = 665) these items were shown to have comparable psychometric values with those of the full version. Our results suggest that these items might work as a short form screener for early identification of ASD in primary care settings where there are time constraints on screening.