scholarly journals Self-Reported Stress and Questionnaires in People With Autism Spectrum Disorder: a Systematic Review

Author(s):  
Anoushka Thoen ◽  
Jean Steyaert ◽  
Kaat Alaerts ◽  
Kris Evers ◽  
Tine Van Damme

AbstractBackgroundTo gain more insight into the experience of stress in individuals with ASD, it is important to use appropriate self-report questionnaires. The goal of this systematic review was to provide an overview of these.MethodThe PRISMA guidelines were followed and four online databases were systematically searched.ResultsSeven questionnaires have been used previously in individuals with ASD. None of the 22 included studies intended to assess the psychometric properties, leading towards scarce evidence concerning their reliability and validity in this population.ConclusionsIt is important to consider which concept of stress one aims to measure as not all questionnaires cover the same aspects of stress. Further research concerning psychometric properties of the questionnaires in this population is required.

Author(s):  
Shixi Zhao ◽  
Wei-Ju Chen ◽  
Oi-Man Kwok ◽  
Shweta U. Dhar ◽  
Tanya N. Eble ◽  
...  

Due to the increased prevalence of Autism Spectrum Disorder (ASD), more children with ASD may be referred for genetic testing. It is important to develop a tool to help parents consider the benefits and drawbacks of genetic testing for ASD before pursuing genetic testing for children with ASD. We developed the first theory-based survey—Perceptions of ASD Genetic Testing Survey (POAGTS), as a tool to assist healthcare providers to better understand parents’ perceptions and concerns regarding ASD genetic testing. The psychometric properties of POAGTS were first pre-tested and then formally tested with 308 parents of children with ASD who had not decided whether to pursue genetic testing for their children diagnosed with ASD. Findings suggest that the eight scales of the POAGTS were psychometrically sound, and had acceptable data reliability and validity. Additional research with various samples, such as parents of children with ASD who belong to diverse racial/ethnic and socioeconomic groups, is warranted in the future to determine whether the POAGTS is applicable to these particular groups. Condensing and refining this tool to a shorter, more user-friendly version is also recommended for future research.


2020 ◽  
Vol 29 (2) ◽  
pp. 890-902
Author(s):  
Lynn Kern Koegel ◽  
Katherine M. Bryan ◽  
Pumpki Lei Su ◽  
Mohini Vaidya ◽  
Stephen Camarata

Purpose The purpose of this systematic review was to identify parent education procedures implemented in intervention studies focused on expressive verbal communication for nonverbal (NV) or minimally verbal (MV) children with autism spectrum disorder (ASD). Parent education has been shown to be an essential component in the habilitation of individuals with ASD. Parents of individuals with ASD who are NV or MV may particularly benefit from parent education in order to provide opportunities for communication and to support their children across the life span. Method ProQuest databases were searched between the years of 1960 and 2018 to identify articles that targeted verbal communication in MV and NV individuals with ASD. A total of 1,231 were evaluated to assess whether parent education was implemented. We found 36 studies that included a parent education component. These were reviewed with regard to (a) the number of participants and participants' ages, (b) the parent education program provided, (c) the format of the parent education, (d) the duration of the parent education, (e) the measurement of parent education, and (f) the parent fidelity of implementation scores. Results The results of this analysis showed that very few studies have included a parent education component, descriptions of the parent education programs are unclear in most studies, and few studies have scored the parents' implementation of the intervention. Conclusions Currently, there is great variability in parent education programs in regard to participant age, hours provided, fidelity of implementation, format of parent education, and type of treatment used. Suggestions are made to provide both a more comprehensive description and consistent measurement of parent education programs.


2019 ◽  
pp. 195-207

Background: Autism spectrum disorder is characterized in part by atypical behavior in the communication, social, and visual domains. Success in vision therapy is judged not only by changes in optometric findings, but through improvement in quality of life involving communication, social behavior and visual behavior. It would therefore be beneficial to have a validated questionnaire to assess parent reported quality of life pre and post vision therapy specific to patients with autism spectrum disorder. To our knowledge, a questionnaire of this nature has not been previously published in the literature. Methods: Questionnaire items were generated through surveying medical literature based on symptoms in three different categories: visual behavior, social behavior and communication. A pool of 34 questions was developed initially and then with thorough discussion with other experts, a 20-point questionnaire was developed with each item reflected in the construct concept. A draft of 20 questions was then sent to 10 subject experts with clinical experience in the field for more than 20 years, to review the pooled items. Validity and reliability was established prior to assessing the psychometric properties of the ASD/QOL-VT. Prospective observational study was conducted for a duration of 18 months. The study included individuals undergoing vision therapy in the age range of 3 to 15 years who had been diagnosed with ASD. The questionnaire was administered to parents of these children prior to the start of vision therapy. All subjects completed a minimum of 60 vision therapy sessions. The questionnaire was readministered after completing 60 sessions of vision therapy. Results: Cronbach’s alpha value for this questionnaire was 0.93, which reflected very good internal consistency. Factorial analysis yielded four factors with an Eigen value exceeding 1.0 which accounted for 68% variation in the model. The Cronbach alpha value for subscales identified by factorial analysis is 0.97 indicating excellent internal reliability. The mean pre vision therapy social behavior, communication and visual behavior score was 12.0±3.21, 17.07±4.57 and 26.97±6.41 respectively. The mean post vision therapy scores for social behavior, communication and visual behavior was 8.27±4.16, 11.33±5.27 and 17.93±6.52 respectively. On paired t test, the mean difference in score was statistically significant with P<0.001 in all three subcategories. Conclusions: Our study presents the development of a valid and reliable parent questionnaire, the ASD/QOL-VT, that judges communication, social behavior, and visual behavior in autism. Results of the study conducted indicate that vision therapy can result in significant improvements in the quality of life of patients with ASD as judged by their parents. This is evidenced by statistically significant changes in psychometric properties of the ASD/QOL-VT in social behavior, communication and visual behavior.


2018 ◽  
Vol 19 (5) ◽  
pp. 454-459 ◽  
Author(s):  
Francielly Mourao Gasparotto ◽  
Francislaine Aparecida dos Reis Lívero ◽  
Sara Emilia Lima Tolouei Menegati ◽  
Arquimedes Gasparotto Junior

2019 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim

BACKGROUND Over the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, its application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder. However, given its complexity and potential clinical implications, there is ongoing need for further research on its accuracy. OBJECTIVE The current study aims to summarize the evidence for the accuracy of use of machine learning algorithms in diagnosing autism spectrum disorder (ASD) through systematic review and meta-analysis. METHODS MEDLINE, Embase, CINAHL Complete (with OpenDissertations), PsyINFO and IEEE Xplore Digital Library databases were searched on November 28th, 2018. Studies, which used a machine learning algorithm partially or fully in classifying ASD from controls and provided accuracy measures, were included in our analysis. Bivariate random effects model was applied to the pooled data in meta-analysis. Subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false negative and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw SROC curves, and obtain area under the curve (AUC) and partial AUC. RESULTS A total of 43 studies were included for the final analysis, of which meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural MRI subgroup meta-analysis (12 samples with 1,776 participants) showed the sensitivity at 0.83 (95% CI-0.76 to 0.89), specificity at 0.84 (95% CI -0.74 to 0.91), and AUC/pAUC at 0.90/0.83. An fMRI/deep neural network (DNN) subgroup meta-analysis (five samples with 1,345 participants) showed the sensitivity at 0.69 (95% CI- 0.62 to 0.75), the specificity at 0.66 (95% CI -0.61 to 0.70), and AUC/pAUC at 0.71/0.67. CONCLUSIONS Machine learning algorithms that used structural MRI features in diagnosis of ASD were shown to have accuracy that is similar to currently used diagnostic tools.


Author(s):  
Huaimin Yi ◽  
Yajun Han ◽  
Mengxin Li ◽  
Jiong Wang ◽  
Liping Yang

2021 ◽  
pp. 116856
Author(s):  
Frédéric Dutheil ◽  
Aurélie Comptour ◽  
Roxane Morlon ◽  
Martial Mermillod ◽  
Bruno Pereira ◽  
...  

Author(s):  
Mizuho Takayanagi ◽  
Yoko Kawasaki ◽  
Mieko Shinomiya ◽  
Hoshino Hiroshi ◽  
Satoshi Okada ◽  
...  

AbstractThis study was a systematic review of research using the Wechsler Intelligence Scale for Children (WISC) with Autism Spectrum Disorder (ASD) to examine cognitive characteristics of children with ASD beyond the impact of revisions based on WISC and diagnostic criteria changes. The classic “islets of ability” was found in individuals with full-scale IQs < 100. The “right-descending profiles” were observed among high IQ score individuals. High levels on the Block Design and low Coding levels were consistently found regardless of the variation in intellectual functioning or diagnosis. This review identified patterns of cognitive characteristics in ASD individuals using empirical data that researchers may have previously been aware of, based on their experiences, owing to the increased prevalence of ASD.


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