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Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q.

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Title: Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q.
Authors: Harrison, Ashley J., Naqvi, Nilofer C., Smit, Anne K., Kumar, Prisha Nanda, Muhammad, Noor Azimah, Saade, Sabine, Yu, Luodi, Cappe, Emilie, Low, Hui Min, Chan, Sarah-Jane, de Bildt, Annelies
Source: Journal of Autism & Developmental Disorders. May2024, Vol. 54 Issue 5, p1897-1911. 15p.
Subjects: Diagnosis of autism, Health literacy, Medical information storage & retrieval systems, Attitudes toward illness, Autism, Questionnaires, Socioeconomic factors, Sex distribution, Structural equation modeling, Age distribution, Descriptive statistics, World health, Professions, Electronic health records, Data analysis software, Early diagnosis, Social stigma, Educational attainment
Abstract: Substantial variability exists with regard to autism service provision around the world. Service disparities observed in many low- and middle-income countries may be driven, in part, by limited autism knowledge; however, measurement limitations have made it difficult to quantify autism knowledge across countries. The current study uses the autism stigma and knowledge questionnaire (ASK-Q) to quantify autism knowledge and stigma between different countries and demographics. The current study compiled data from 6830 participants collected using adapted versions of the ASK-Q administered in 13 different countries, representing four different continents. Structural equation modeling was used to examine how autism knowledge varied across country and individual factors. Results reveal cross country variability with a large, 17-point difference between the countries with the highest knowledge (Canada) and the lowest knowledge (Lebanon). As expected, countries with higher economies had higher levels of knowledge. We also documented differences based on country worldview, participant occupation, gender, age, and education level. These results help to identify specific regions and populations that might most need greater information about autism. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q.
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  Data: <searchLink fieldCode="AR" term="%22Harrison%2C+Ashley+J%2E%22">Harrison, Ashley J.</searchLink><br /><searchLink fieldCode="AR" term="%22Naqvi%2C+Nilofer+C%2E%22">Naqvi, Nilofer C.</searchLink><br /><searchLink fieldCode="AR" term="%22Smit%2C+Anne+K%2E%22">Smit, Anne K.</searchLink><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Prisha+Nanda%22">Kumar, Prisha Nanda</searchLink><br /><searchLink fieldCode="AR" term="%22Muhammad%2C+Noor+Azimah%22">Muhammad, Noor Azimah</searchLink><br /><searchLink fieldCode="AR" term="%22Saade%2C+Sabine%22">Saade, Sabine</searchLink><br /><searchLink fieldCode="AR" term="%22Yu%2C+Luodi%22">Yu, Luodi</searchLink><br /><searchLink fieldCode="AR" term="%22Cappe%2C+Emilie%22">Cappe, Emilie</searchLink><br /><searchLink fieldCode="AR" term="%22Low%2C+Hui+Min%22">Low, Hui Min</searchLink><br /><searchLink fieldCode="AR" term="%22Chan%2C+Sarah-Jane%22">Chan, Sarah-Jane</searchLink><br /><searchLink fieldCode="AR" term="%22de+Bildt%2C+Annelies%22">de Bildt, Annelies</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. May2024, Vol. 54 Issue 5, p1897-1911. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Diagnosis+of+autism%22">Diagnosis of autism</searchLink><br /><searchLink fieldCode="DE" term="%22Health+literacy%22">Health literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Attitudes+toward+illness%22">Attitudes toward illness</searchLink><br /><searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22World+health%22">World health</searchLink><br /><searchLink fieldCode="DE" term="%22Professions%22">Professions</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+health+records%22">Electronic health records</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Early+diagnosis%22">Early diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Social+stigma%22">Social stigma</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+attainment%22">Educational attainment</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Substantial variability exists with regard to autism service provision around the world. Service disparities observed in many low- and middle-income countries may be driven, in part, by limited autism knowledge; however, measurement limitations have made it difficult to quantify autism knowledge across countries. The current study uses the autism stigma and knowledge questionnaire (ASK-Q) to quantify autism knowledge and stigma between different countries and demographics. The current study compiled data from 6830 participants collected using adapted versions of the ASK-Q administered in 13 different countries, representing four different continents. Structural equation modeling was used to examine how autism knowledge varied across country and individual factors. Results reveal cross country variability with a large, 17-point difference between the countries with the highest knowledge (Canada) and the lowest knowledge (Lebanon). As expected, countries with higher economies had higher levels of knowledge. We also documented differences based on country worldview, participant occupation, gender, age, and education level. These results help to identify specific regions and populations that might most need greater information about autism. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s10803-023-05936-5
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1897
    Subjects:
      – SubjectFull: Diagnosis of autism
        Type: general
      – SubjectFull: Health literacy
        Type: general
      – SubjectFull: Medical information storage & retrieval systems
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      – SubjectFull: Attitudes toward illness
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      – SubjectFull: Autism
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      – SubjectFull: Questionnaires
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      – SubjectFull: Socioeconomic factors
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      – SubjectFull: Sex distribution
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      – SubjectFull: Structural equation modeling
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      – SubjectFull: Age distribution
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      – SubjectFull: World health
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              Text: May2024
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