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      How many girls are we missing in ASD? An examination from a clinic- and community-based sample

      research-article
      Lucy Barnard-Brak , David Richman , M. Hasan Almekdash
      Advances in Autism
      Emerald Publishing
      Assessment, Identification, Autism spectrum disorder

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          Abstract

          Purpose

          Research has indicated that males diagnosed with autism spectrum disorder (ASD) outnumber females diagnosed with ASD, which has been attributed to a number of potential biological and genetic risk factors. The purpose of this paper is to estimate how many girls may be missing from ASD via a two-study format, comparing two distinct data sets to Centers for Disease Control and Prevention population estimates for sex distribution of males vs females in ASD.

          Design/methodology/approach

          In Study 1, the authors utilized data from the National Database for Autism Research as a clinic-based sample. In Study 2, the authors utilized data from the National Survey of Children’s Health as a community-based sample.

          Findings

          The current study estimates that approximately 39 percent more girls should be diagnosed with ASD. The authors estimate that the sex distribution in ASD should be approximately 28 percent female and 72 percent male based upon current practices. Thus, it appears that more females are being identified as potentially having ASD but were not subsequently being diagnosed with ASD as compared to their male counterparts.

          Originality/value

          These results could suggest that a leaky pipeline in the assessment of girls with ASD may exist along one or more points in the ASD diagnostic process, with one potential point at the level of ASD-specific screening (i.e. the SCQ in Study 1) in the clinic setting and another in the community setting as a whole for universal screening (i.e. NSCH data in Study 2).

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          Most cited references50

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          Measuring the accuracy of diagnostic systems

          J Swets (1988)
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            Epidemiology of pervasive developmental disorders.

            This article reviews the results of 43 studies published since 1966 that provided estimates for the prevalence of pervasive developmental disorders (PDDs), including autistic disorder, Asperger disorder, PDD not otherwise specified, and childhood disintegrative disorder. The prevalence of autistic disorder has increased in recent surveys and current estimates of prevalence are around 20/10,000, whereas the prevalence for PDD not otherwise specified is around 30/10,000 in recent surveys. Prevalence of Asperger disorder is much lower than that for autistic disorder and childhood disintegrative disorder is a very rare disorder with a prevalence of about 2/100,000. Combined all together, recent studies that have examined the whole spectrum of PDDs have consistently provided estimates in the 60-70/10,000 range, making PDD one of the most frequent childhood neurodevelopmental disorders. The meaning of the increase in prevalence in recent decades is reviewed. There is evidence that the broadening of the concept, the expansion of diagnostic criteria, the development of services, and improved awareness of the condition have played a major role in explaining this increase, although it cannot be ruled out that other factors might have also contributed to that trend.
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              Epidemiological surveys of autism and other pervasive developmental disorders: an update.

              This paper was commissioned by the committee on the Effectiveness of Early Education in Autism of the National Research Council (NRC). It provides a review of epidemiological studies of pervasive developmental disorders (PDD) which updates a previously published article (The epidemiology of autism: a review. Psychological Medicine 1999; 29: 769-786). The design, sample characteristics of 32 surveys published between 1966 and 2001 are described. Recent surveys suggest that the rate for all forms of PDDs are around 30/10,000 but more recent surveys suggest that the estimate might be as high as 60/10,000. The rate for Asperger disorder is not well established, and a conservative figure is 2.5/10,000. Childhood disintegrative disorder is extremely rare with a pooled estimate across studies of 0.2/10,000. A detailed discussion of the possible interpretations of trends over time in prevalence rates is provided. There is evidence that changes in case definition and improved awareness explain much of the upward trend of rates in recent decades. However, available epidemiological surveys do not provide an adequate test of the hypothesis of a changing incidence of PDDs.
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                Author and article information

                Contributors
                Journal
                AIA
                10.1108/AIA
                Advances in Autism
                AIA
                Emerald Publishing
                2056-3868
                11 March 2019
                11 June 2019
                : 5
                Issue : 3 Issue title : Women, girls, and autism spectrum disorders: part II Issue title : Women, girls, and autism: part I
                : 214-224
                Affiliations
                [1]Department of Educational Psychology, University of Alabama , Tuscaloosa, Alabama, USA
                [2]Department of Educational Psychology and Leadership, Texas Tech University , Lubbock, Texas, USA
                [3]College of Education, Texas Tech University , Lubbock, Texas, USA
                Author notes
                Lucy Barnard-Brak can be contacted at: lbarnardbrak@ua.edu
                Article
                623584 AIA-11-2018-0048.pdf AIA-11-2018-0048
                10.1108/AIA-11-2018-0048
                0503721b-a889-4a0f-9804-5449fd60f454
                © Emerald Publishing Limited
                History
                : 20 November 2018
                : 10 January 2019
                : 17 January 2019
                Page count
                Figures: 0, Tables: 3, Equations: 0, References: 44, Pages: 11, Words: 6737
                Categories
                research-article, Research paper
                cat-HSC, Health & social care
                cat-LID, Learning & intellectual disabilities
                Custom metadata
                yes
                yes
                JOURNAL
                included

                Health & Social care
                Identification,Assessment,Autism spectrum disorder
                Health & Social care
                Identification, Assessment, Autism spectrum disorder

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