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Autism Research
Article
Data sources: UnpayWall
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Autism Research
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Autism Research
Article . 2019
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Onset patterns in autism: Variation across informants, methods, and timing

Authors: Sally Ozonoff; Devon Gangi; Elise P. Hanzel; Alesha Hill; Monique M. Hill; Meghan Miller; A.J. Schwichtenberg; +3 Authors

Onset patterns in autism: Variation across informants, methods, and timing

Abstract

While previous studies suggested that regressive forms of onset were not common in autism spectrum disorder (ASD), more recent investigations suggest that the rates are quite high and may be under‐reported using certain methods. The current study undertook a systematic investigation of how rates of regression differed by measurement method. Infants with (n = 147) and without a family history of ASD (n = 83) were seen prospectively for up to 7 visits in the first three years of life. Reports of symptom onset were collected using four measures that systematically varied the informant (examiner vs. parent), the decision type (categorical [regression absent or present] vs. dimensional [frequency of social behaviors]), and the timing of the assessment (retrospective vs. prospective). Latent class growth models were used to classify individual trajectories to see whether regressive onset patterns were infrequent or widespread within the ASD group. A majority of the sample was classified as having a regressive onset using either examiner (88%) or parent (69%) prospective dimensional ratings. Rates of regression were much lower using retrospective or categorical measures (from 29 to 47%). Agreement among different measurement methods was low. Declining trajectories of development, consistent with a regressive onset pattern, are common in children with ASD and may be more the rule than the exception. The accuracy of widely used methods of measuring onset is questionable and the present findings argue against their widespread use. Autism Res 2018, 11: 788–797. © 2018 International Society for Autism Research, Wiley Periodicals, Inc.Lay SummaryThis study examines different ways of measuring the onset of symptoms in autism spectrum disorder (ASD). The present findings suggest that declining developmental skills, consistent with a regressive onset pattern, are common in children with ASD and may be more the rule than the exception. The results question the accuracy of widely used methods of measuring symptom onset and argue against their widespread use.

Country
United States
Keywords

Male, Parents, Autism Spectrum Disorder, Autism, Clinical and health psychology, Clinical Research (rcdc), Preschool (mesh), Brain Disorders (rcdc), 5201 Applied and developmental psychology (for-2020), Risk Factors, Autism (rcdc), Surveys and Questionnaires, 1103 Clinical Sciences (for), Psychology, Intellectual and Developmental Disabilities (IDD) (rcdc), Prospective Studies, Child, Male (mesh), early signs, Pediatric, Developmental & Child Psychology (science-metrix), Humans (mesh), Autism Spectrum Disorder (mesh), 52 Psychology (for-2020), infants, Communication, 3209 Neurosciences (for-2020), Mental Health, Communication (mesh), Child, Preschool, 5203 Clinical and health psychology (for-2020), regression, Female, Behavioral and Social Science (rcdc), Cognitive and Computational Psychology, Mental Health (rcdc), Intellectual and Developmental Disabilities (IDD), Retrospective Studies (mesh), Clinical Sciences, Developmental & Child Psychology, 5204 Cognitive and Computational Psychology (for-2020), Siblings (mesh), Surveys and Questionnaires (mesh), Clinical Research, Risk Factors (mesh), Behavioral and Social Science, Humans, Parents (mesh), Prospective Studies (mesh), Preschool, Social Behavior, Pediatric (rcdc), Retrospective Studies, Social Behavior (mesh), Siblings, Neurosciences, Infant, Infant (mesh), Applied and developmental psychology, 1109 Neurosciences (for), Brain Disorders, Mental health (hrcs-hc), Female (mesh), 1701 Psychology (for)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
68
Top 1%
Top 10%
Top 1%
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bronze