Journal of Autism and Developmental Disorders最新文献

This study examined the recurrence rate of autism in siblings at elevated likelihood (EL) and the predictive validity of the Q-CHAT and ADOS-2 at 14 and 24 months (m) for a clinical best estimate (CBE) autism diagnosis at 3 years. 331 EL-siblings (47.9% girls) from the prospective longitudinal EuroSibs study underwent ADOS-2 assessments and caregivers completed the Q-CHAT at 14 m and 24 m. At 3 years CBE was determined using DSM-5 criteria. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were estimated. Autism recurrence rate was 25.7% [95% CI (21.1, 30.6)]. Q-CHAT sensitivity was 31.8% [95% CI (21.4, 43.6)] at 14 m and 30.6% [95% CI (20.7, 41.7)] at 24 m. Specificity was 81.2% [95% CI (75.4, 86.2)] at 14 m and 94.8% [95% CI (91.2, 97.2)] at 24 m. PPV was 35.6% [95% CI (24.2, 48.2)] at 14 m and 66.7% [95% CI (49.8, 81.1)] at 24 m. NPV was 78.5% [95% CI (72.6, 83.7)] and 79.9% [95% CI (74.7, 84.6)] respectively. ADOS-2 demonstrated a of 64.3% [95% CI (45.9, 80.2)] and 69.3% [95% CI (58.4, 79.0)] and a specificity of 71.1% [95% CI (60.3, 80.4)] and 68.7% [95% CI (62.5, 74.5)] at 14 m and 24 m respectively. PPV was 45% [95% CI (30.3, 60.4)] at 14 m and 41.9% [95% CI (33.5, 50.7)] at 24 m. NPV was 84.4% [95% CI (74.2, 91.8)] at 14 m and 87.3% [95% CI (81.9, 91.6)] at 24 m. Q-CHAT and ADOS-2 at 14 m and 24 m can aid in early differentiation between EL-siblings who need further assessment and those who do not, but neither has sufficient sensitivity and PPV for standalone CBE diagnosis prediction.

Children with Autism Spectrum Disorder (ASD) experience increased hospitalizations as compared to the general population, particularly in the context of mental health crises. Given the unique needs of children with ASD and behavioral health needs that can either lead to or emerge during hospitalization, an understanding of hospital experiences is critical. To date, research on caregiver experiences in acute care medical hospital settings is limited. Therefore, the purpose of this qualitative study was to investigate caregiver experiences with inpatient care for children with ASD and behavioral health needs, including factors and practices that impacted or were desirable for care. Two focus groups were conducted with a total of 12 parents of children with ASD admitted to a large pediatric hospital. Data were analyzed using interpretive description. Emerging themes pointed to the child, family, and staff factors and practices that intersect to influence hospitalization experiences. Child factors included the child's communication, sensory, behavioral, medical, and safety needs. Family factors included the family's relationship with the healthcare team, own needs, and advocacy experiences. Staff factors included staff communication practices, comfort, and knowledge when providing care. Overall, this research demonstrates the complexity of factors and practices that impact the behavioral health hospitalization experience for children with ASD and their caregivers. Experiences varied widely and were guided by the unique needs of each child. Findings point to care practices that can be adopted to best meet the needs of all stakeholders during hospitalization and offer implications for future educational initiatives.

The purpose of this study was to validate the utility of the Systematic Observation of Red Flags (SORF) for autism screening during 10-minute parent-child interactions at ages 15-24 months. A total of 54 children participated in this study, including 19 with autism spectrum disorder (ASD), 23 with developmental delay, and 12 typically developing children. Coders coded 10-minute videos of parent-child interactions based on the defined scoring criteria. The discriminative ability for outcome diagnosis was evaluated for total score, social communication score, restricted repetitive behavior score, number of red flags, and composite score. SORF scores demonstrated good discriminative ability between ASD and non-ASD children, with the composite score (AUC = 0.884) showing the best discriminative ability for outcome diagnosis and predicting likelihood of ASD in young children. The composite score represented a simplified measurement, with the cutoff score of 7 and sensitivity and specificity of 0.789 and 0.800, respectively.

Aggression is common in autism and neurodevelopmental disorders, but longitudinal research on aggression is lacking. We longitudinally tracked aggression in 254 individuals from toddlerhood to emerging adulthood. Our sample included participants with a range of cognitive abilities, with 39.9% classified as more-cognitively-abled (MCA; IQ ≥ 70) and 60.1% as less-cognitively-abled (LCA; IQ < 70). Aggression Composite scores were derived from data from the autism diagnostic observation schedule, autism diagnostic interview-revised, and child behavior checklist at ages 2, 9, and 18. Fifty-four percent, 69%, and 42% of the sample showed aggression in toddlerhood, school age, and emerging adulthood, respectively. LCA individuals had higher rates of aggression in school age (80%) and emerging adulthood (58%) compared to MCA individuals (48 and 22%, respectively). Longitudinal aggression profiles revealed distinct patterns of change over time: 31% displayed persistent aggression, 25% increased, 23% decreased, and 13% never displayed aggression. Higher autism symptoms, lower VIQ, NVIQ, and less-developed adaptive skills correlated with more aggression cross-sectionally. Nonverbal IQ and repetitive behaviors related to aggression longitudinally: people in decreasing or absent profiles had higher NVIQ and fewer RRBs than those with persistent or increasing profiles. Participants with aggression at 9 were four times likelier to exhibit aggression at 18. Aggression is common in autism and NDDs, peaking around age 9, and declining in emerging adulthood. Patterns of change varied widely, with evidence that higher NVIQ and fewer RRBs may be protective. Findings have implications for clinical practices, highlighting important developmental periods and high-risk subgroups.

Purpose: This study seeks to examine the relationship between anxiety-symptom severity and sleep behaviors in autistic children receiving cognitive behavioral therapy (CBT).

Methods: We conducted a secondary-data analysis from a sample of 93 autistic youth, 4 to 14 years, participating in 24 weeks of CBT. Clinicians completed the Pediatric Anxiety Rating Scale (PARS) and parents completed the Children's Sleep Habits Questionnaire, Abbreviated/Short Form (CSHQ-SF) at baseline, mid-treatment, post-treatment and 3 months post-treatment. Mediation analysis evaluated the role of anxiety symptoms in mediating the effect of time in treatment on sleep.

Results: There was a negative association between time in treatment and scores on the CSHQ-SF (b = - 3.23, SE = 0.493, t = - 6.553, p < 0.001). Increased time in treatment was associated with decreased anxiety (b = - 4.66, SE = 0.405, t = - 11.507, p < 0.001), and anxiety symptoms decreased with CSHQ-SF scores (b = 0.322, SE = 0.112, t = 2.869, p = 0.005). The indirect effect of time in treatment on CSHQ-SF scores through PARS reduction was negative, but not statistically significant.

Conclusion: Increased time in CBT was associated with decreased anxiety severity and improved sleep behaviors. Reductions in anxiety symptoms may mediate improvements in sleep problems, but larger sample sizes are necessary to explore this further.

The current study compared the prevalence of cognitive and psychopathological impairments among 24 preschool children with Williams syndrome (WS) (aged 2.20 to 5.97 years) and 53 controls without WS and screened for developmental or psychological diagnoses (aged 2.21 to 5.89 years) matched on chronological age and sex distribution. Associations between sex, chronological age, early development and psychopathology were also investigated. The Child Behavior Checklist-Preschool Version (CBCL) and the Mullen Scales of Early Learning were administered. Higher reported rates of Attention Problems, Emotional Reactivity, Somatic Complaints, Withdrawal, Affective Problems and Total Problems were found in preschool children with WS. There were no significant group differences in prevalence rates of all other CBCL domains. Attention Problems were the most prevalent psychopathology in preschool children with WS (33% falling in the clinically significant range), followed by Affective Problems (29% in clinically significant range), then Anxiety Problems (17%) or Attention Deficit/Hyperactivity Problems (17%). Among children without WS, the highest prevalence rates of psychopathology were for Attention Problems (4% falling in the clinically significant range), Aggressive Behaviour (4%), Sleep Problems (4%) and Oppositional Defiant Problems (4%). There were no significant associations between sex or chronological age and CBCL-reported psychopathology for either group. In addition, there were no significant relationships between CBCL ratings and verbal ability, nonverbal ability or overall developmental level in either group. Findings highlight variations in the pattern of psychopathology among preschool children with WS compared to those without WS, which needs to be considered in clinical management and future research.

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 ± 2.1 years; 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.

This comprehensive meta-analysis aimed to assess the effectiveness of digital interventions in improving developmental skills for children and adolescents with autism spectrum disorder (ASD). We conducted a systematic literature search based on three databases. A pre-test adjusted between-group standardized effect size was computed for effect size synthesis. We utilized a robust variance estimation model to analyze overall treatment effect. Moderator analyses and publication bias were also addressed. Twenty-eight studies (150 effect sizes) using randomized control trials (RCT; n = 22) or quasi-experimental designs (QED; n = 6) were included. Most studies (n = 22) included social-emotional skills as primary outcomes. The meta-analysis revealed a medium to large overall effect size, with Hedges' g = 0.62, 95% CI [0.36, 0.88], p < 0.001. We found that digital interventions have a statistically significantly large effect on enhancing social-emotional skills compared with language and communication skills, cognitive skills, daily living skills, and physical skills. The results of moderator analyses indicated that computer-based interventions have larger effect sizes in comparison to tablet/smartphone-based interventions. No statistically significant differences were observed between studies utilizing RCT and those using QED. We recommended the integration of digital interventions as supplemental resources in behavioral and educational interventions. Further research needs to focus on more females, young children, and adolescents with ASD in digital intervention research.

About half of autistic youth present with clinically interfering anxiety. Psychotherapies with exposure-focused elements are effective in academic clinical settings and controlled trials. However, there is relatively less research examining the implementation of modified interventions for autistic youth with anxiety in community mental health settings. The current study explores community members' perceptions of barriers and facilitators that impact autistic youth with anxiety's receipt of quality mental health services in their community. Semi-structured interviews were conducted with 15 autistic youth, 15 caregivers of autistic youth, 11 community mental health clinicians, and 8 community mental health clinic leaders. Interviews were analyzed thematically. Participants shared their experiences with facilitators and barriers to autistic youth with anxiety receiving quality mental healthcare. Themes that emerged include (1) characteristics of the autistic youth, (2) engagement of autistic youth and caregivers, (3) building rapport between providers, autistic youth, and caregivers, (4) access to mental health services, (5) intervention fit, and (6) provider characteristics. Based on participants' perspectives and suggestions, future directions for anxiety treatment programs tailored for autistic youth include building more time into the intervention sessions to build rapport, incorporating autistic youth's preferences into provider matches, and providing families with more psychoeducation.