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Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q.
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.
Afiliação
  • Harrison AJ; Educational Psychology Department, University of Georgia, Athens, GA, 30606, USA. Ashley.Harrison@uga.edu.
  • Naqvi NC; Department of Educational Psychology, University of Georgia, Aderhold Hall 110 Carlton Street, Athens, GA, 30602, USA. Ashley.Harrison@uga.edu.
  • Smit AK; Department of Psychology, Iona University, New Rochelle, NY, 10801, USA.
  • Kumar PN; Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Muhammad NA; Accare Child Study Center, Groningen, The Netherlands.
  • Saade S; Educational Psychology Department, University of Georgia, Athens, GA, 30606, USA.
  • Yu L; Department of Family Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia. Jalan Yaacob Latiff, 56000, Cheras, Kuala Lumpur, Malaysia.
  • Cappe E; Psychology Department, American University of Beirut, Beirut, 1107 2020, Lebanon.
  • Low HM; Center for Autism Research, School of Education, Guangzhou University, Wenyi Bldg, Guangzhou, China.
  • Chan SJ; Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, 92100, Boulogne-Billancourt, France.
  • de Bildt A; Institut Universtaire de France (IUF), Paris, France.
J Autism Dev Disord ; 2023 Mar 09.
Article em En | MEDLINE | ID: mdl-36892718
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Equity_inequality Idioma: En Revista: J Autism Dev Disord Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Equity_inequality Idioma: En Revista: J Autism Dev Disord Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos