scholarly journals Correction to: Brief Report: Development and Validation of the Autism Spectrum Knowledge Scale General Population Version: Preliminary Analyses

Author(s):  
Maryellen Brunson McClain ◽  
Bryn Harris ◽  
Sarah E. Schwartz ◽  
Kandice J. Benallie ◽  
Megan E. Golson ◽  
...  
2019 ◽  
Vol 49 (7) ◽  
pp. 3007-3015 ◽  
Author(s):  
Maryellen Brunson McClain ◽  
Bryn Harris ◽  
Sarah E. Schwartz ◽  
Kandice J. Benallie ◽  
Megan E. Golson ◽  
...  

2019 ◽  
Author(s):  
Maryellen Brunson McClain ◽  
Bryn Harris ◽  
Sarah E. Schwartz ◽  
Kandice J. Benallie ◽  
Megan E. Golson ◽  
...  

2020 ◽  
Author(s):  
Maryellen Brunson McClain ◽  
Bryn Harris ◽  
Cassity R. Haverkamp ◽  
Megan E. Golson ◽  
Sarah E. Schwartz

2021 ◽  
pp. 1-9
Author(s):  
Richard Pender ◽  
Pasco Fearon ◽  
Beate St Pourcain ◽  
Jon Heron ◽  
Will Mandy

Abstract Background Autistic people show diverse trajectories of autistic traits over time, a phenomenon labelled ‘chronogeneity’. For example, some show a decrease in symptoms, whilst others experience an intensification of difficulties. Autism spectrum disorder (ASD) is a dimensional condition, representing one end of a trait continuum that extends throughout the population. To date, no studies have investigated chronogeneity across the full range of autistic traits. We investigated the nature and clinical significance of autism trait chronogeneity in a large, general population sample. Methods Autistic social/communication traits (ASTs) were measured in the Avon Longitudinal Study of Parents and Children using the Social and Communication Disorders Checklist (SCDC) at ages 7, 10, 13 and 16 (N = 9744). We used Growth Mixture Modelling (GMM) to identify groups defined by their AST trajectories. Measures of ASD diagnosis, sex, IQ and mental health (internalising and externalising) were used to investigate external validity of the derived trajectory groups. Results The selected GMM model identified four AST trajectory groups: (i) Persistent High (2.3% of sample), (ii) Persistent Low (83.5%), (iii) Increasing (7.3%) and (iv) Decreasing (6.9%) trajectories. The Increasing group, in which females were a slight majority (53.2%), showed dramatic increases in SCDC scores during adolescence, accompanied by escalating internalising and externalising difficulties. Two-thirds (63.6%) of the Decreasing group were male. Conclusions Clinicians should note that for some young people autism-trait-like social difficulties first emerge during adolescence accompanied by problems with mood, anxiety, conduct and attention. A converse, majority-male group shows decreasing social difficulties during adolescence.


Autism ◽  
2021 ◽  
pp. 136236132110206
Author(s):  
Vanessa H Bal ◽  
Ellen Wilkinson ◽  
Megan Fok

It is essential to recognize the strengths and talents of autistic individuals. Previous studies of extraordinary talents (i.e. skills that stand out relative to the general population) have combined individuals with different skills (e.g. calendrical calculation, drawing) into one group. There has been limited investigation of talents in specific areas and even less consideration of personal strengths (i.e. skills that stand out relative to that person’s other abilities, but not the general population). We extend this literature by examining the relationship between parent-reported talents and strengths and performance on standardized cognitive tests in 1470 children (4–18 years) from the Simons Simplex Collection with autism and IQ above 70. Almost half (46%) had at least one parent-reported talent and an additional 23% without extraordinary talents had at least one personal strength. Children with parent-reported talents and strengths had different cognitive profiles than children with no reported skill in visuospatial, drawing, computation, or music. Those highlighted for their memory abilities had somewhat more even verbal and nonverbal abilities, relative to children whose memory was not emphasized as a special skill. These results emphasize the importance of exploring strengths separately by domain and a need for more research in this area. Lay abstract Previous research has suggested that focusing on impairments can be detrimental to the well-being of autistic individuals, yet little research has focused on strengths and positive qualities in autism. Some studies explored “savant skills” (herein referred to as “extraordinary talents”), that is, skills that stand out compared to the general population. These often group everyone who has a specific talent, rather than exploring subgroups with strengths in specific areas. There has been even less research focused on personal strengths (i.e. skills that stand out relative to the individual’s other abilities, but not the general population). To expand this research, we use a sample of 1470 children (ages 4–18 years) from the Simons Simplex Collection without cognitive impairment to examine the relationship between having a parent-reported skill in a specific area and performance on a standardized cognitive test. Almost half (46%) had at least one parent-reported talent and an additional 23% without extraordinary talents had at least one personal strength. Children with these parent-reported skills had different patterns of performance on these standardized tests than children without skills in that area (i.e. visuospatial, drawing, computation, reading, and memory). Specific skills in computation or reading were associated with higher overall performance on the standardized tests. These results emphasize the importance of considering strengths separately by area, rather than combining individuals with different types of strengths. The high number of children with skills in this study underscores the need for more research in this area, particularly using instruments focused on understanding the nuances of these strengths. It is important for future studies to consider these skills in children with cognitive impairment.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael C. W. English ◽  
Gilles E. Gignac ◽  
Troy A. W. Visser ◽  
Andrew J. O. Whitehouse ◽  
James T. Enns ◽  
...  

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.


2021 ◽  
Vol 15 (2) ◽  
pp. 601-603
Author(s):  
Kamal Bandhu Kalanidhi ◽  
Piyush Ranjan ◽  
Siddharth Sarkar ◽  
Tanveer Kaur ◽  
Ashish Dutt Upadhyay ◽  
...  

2021 ◽  
pp. 101339
Author(s):  
Ayush Agarwal ◽  
Piyush Ranjan ◽  
Priyanka Rohilla ◽  
Yellamraju Saikaustubh ◽  
Anamika Sahu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document