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TwitterThis data table provides a collection of information from peer-reviewed autism prevalence studies. Information reported from each study includes the autism prevalence estimate and additional study characteristics (e.g., case ascertainment and criteria). A PubMed search was conducted to identify studies published at any time through September 2020 using the search terms: autism (title/abstract) OR autistic (title/abstract) AND prevalence (title/abstract). Data were abstracted and included if the study fulfilled the following criteria: • The study was published in English; • The study produced at least one autism prevalence estimate; and • The study was population-based (any age range) within a defined geographic area.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This report presents a new estimate of the prevalence of autism among adults aged 18 years and over. This was derived using data from the 2007 Adult Psychiatric Morbidity Survey (APMS 2007) in combination with data from a new study of the prevalence of autism among adults with learning disabilities, who are a key group to study because they could not take part in the APMS 2007 and have been found to have an increased risk of autism. The study was based on adults with learning disabilities living in private households and communal care establishments in Leicestershire, Lambeth and Sheffield. Whilst the study comprised a relatively small sample with limited geographical coverage and did not include the institutional population, it did include two non-mutually exclusive populations (people in communal care establishments and people with learning disabilities) which were not covered by the APMS 2007. The study demonstrates that autism is common among people with a learning disability and, in taking these into account, at 1.1 per cent nationally is slightly higher than the previous estimate of 1.0 per cent in the APMS 2007. Sensitivity analysis showed that the estimates for national prevalence produced by this study were relatively insensitive to inaccuracies caused by the limitations.
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Twitterhttps://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
The aim of this publication is to provide information about the key differences in healthcare between people with a learning disability and those without. It contains aggregated data on key health issues for people who are recorded by their GP as having a learning disability, and comparative data about a control group who are not recorded by their GP as having a learning disability. Six new indicators were introduced in the 2022-23 reporting year for patients with and without a recorded learning disability. These relate to: • Patients with an eating disorder • Patients with both an eating disorder and autism diagnosis • Patients with a diagnosis of autism who are currently treated with antidepressants More information on these changes can be found in the Data Quality section of this publication. Data has been collected from participating practices using EMIS and Cegedim Healthcare Systems GP systems.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Counts of variants represents the aggregated variants in each population group. Variant frequency is the count of variant divided by total number of individuals in each population group. Proportion of variants between cases and controls in male and female are also calculated. Proportion is calculated based on variant frequency in each population group. (XLSX)
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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a Excluding infant deaths and observations missing sex.b Exclusion criteria included members of families with multiple births, discordant date of last birth data, one or more preceding sibling births missing from data set, or members of families with discordant sequences (birth date versus maternal parity).Identification of eligible subjects from total population of California births, 1992–2007 and percentage male among included and excluded births.
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Evolution throughout the 12 months for all children included in the EPIGRAM study according to their immigrant status (time*migration effect model with interaction).
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TwitterThis data table provides a collection of information from peer-reviewed autism prevalence studies. Information reported from each study includes the autism prevalence estimate and additional study characteristics (e.g., case ascertainment and criteria). A PubMed search was conducted to identify studies published at any time through September 2020 using the search terms: autism (title/abstract) OR autistic (title/abstract) AND prevalence (title/abstract). Data were abstracted and included if the study fulfilled the following criteria: • The study was published in English; • The study produced at least one autism prevalence estimate; and • The study was population-based (any age range) within a defined geographic area.