Autism prevalence in China is comparable to Western prevalence.


Journal

Molecular autism
ISSN: 2040-2392
Titre abrégé: Mol Autism
Pays: England
ID NLM: 101534222

Informations de publication

Date de publication:
2019
Historique:
received: 07 07 2018
accepted: 22 11 2018
entrez: 13 3 2019
pubmed: 13 3 2019
medline: 12 4 2019
Statut: epublish

Résumé

Autism prevalence in the West is approximately 1% of school age children. Autism prevalence in China has been reported to be lower than in the West. This is likely due to at least two reasons: (1) most studies in China only included the special school population, overlooking the mainstream school population; and (2) most studies in China have not used contemporary screening and diagnostic methods. To address this, we tested total autism prevalence (mainstream and special schools) in Jilin City, and mainstream school autism prevalence in Jiamusi and Shenzhen cities. The study included a three-step process: (1) screening; (2) clinical assessment of 'screen positives' plus controls; and (3) research diagnostic assessment of those meeting clinical threshold for concerns at step 2. Prevalence estimates per 10,000 children aged 6-10 years old were weighted for study design using diagnostic criteria applied at the research assessment stage. In Jilin City, 77 cases of autism were identified from a total population of 7258, equating to a prevalence of 108 per 10,000 (95% confidence interval (CI) 89, 130). In Shenzhen City: 21,420 children were screened and 35 cases of autism were identified, resulting in a mainstream prevalence of 42 per 10,000 (95% CI 20-89). In Jiamusi City, 16,358 children were screened, with 10 autism cases being identified, with a mainstream prevalence of 19 per 10,000 (95% CI 10-38). Results from Jilin City, where both mainstream and special school data were available, revealed a similar prevalence of autism in China to the West, at around 1%. Results from Shenzhen and Jiamusi cities, where only mainstream data were available, prevalence is also in line with Western estimates. In all three cities, new cases of autism were identified by the study in mainstream schools, reflecting current under-diagnosis. Non-significant variation across different cities is seen indicating the need to explore potential variation of autism across diverse Chinese regions with large sample sizes to achieve a fully robust national picture.

Sections du résumé

Background
Autism prevalence in the West is approximately 1% of school age children. Autism prevalence in China has been reported to be lower than in the West. This is likely due to at least two reasons: (1) most studies in China only included the special school population, overlooking the mainstream school population; and (2) most studies in China have not used contemporary screening and diagnostic methods. To address this, we tested total autism prevalence (mainstream and special schools) in Jilin City, and mainstream school autism prevalence in Jiamusi and Shenzhen cities.
Methods
The study included a three-step process: (1) screening; (2) clinical assessment of 'screen positives' plus controls; and (3) research diagnostic assessment of those meeting clinical threshold for concerns at step 2. Prevalence estimates per 10,000 children aged 6-10 years old were weighted for study design using diagnostic criteria applied at the research assessment stage.
Results
In Jilin City, 77 cases of autism were identified from a total population of 7258, equating to a prevalence of 108 per 10,000 (95% confidence interval (CI) 89, 130). In Shenzhen City: 21,420 children were screened and 35 cases of autism were identified, resulting in a mainstream prevalence of 42 per 10,000 (95% CI 20-89). In Jiamusi City, 16,358 children were screened, with 10 autism cases being identified, with a mainstream prevalence of 19 per 10,000 (95% CI 10-38).
Conclusions
Results from Jilin City, where both mainstream and special school data were available, revealed a similar prevalence of autism in China to the West, at around 1%. Results from Shenzhen and Jiamusi cities, where only mainstream data were available, prevalence is also in line with Western estimates. In all three cities, new cases of autism were identified by the study in mainstream schools, reflecting current under-diagnosis. Non-significant variation across different cities is seen indicating the need to explore potential variation of autism across diverse Chinese regions with large sample sizes to achieve a fully robust national picture.

Identifiants

pubmed: 30858963
doi: 10.1186/s13229-018-0246-0
pii: 246
pmc: PMC6394100
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7

Subventions

Organisme : Medical Research Council
ID : U105292687
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom

Déclaration de conflit d'intérêts

This study was approved by the Research Ethics Committee at the Chinese University of Hong Kong and the Peking University Institutional Review Board. Consent was provided to participants via the screening package before participating. Participants were asked to indicate whether they continued to consent at the end of the study.Not applicable.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Auteurs

Xiang Sun (X)

1Cambridge Institute of Public Health, Department of Public Health and Primary Care, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR UK.
2Autism Research Centre, Department of Psychiatry, University of Cambridge, Douglas House, 18b Trumpington Road, Cambridge, CB2 2AH UK.
3Department of Psychology, The Chinese University of Hong Kong, 3rd Floor, Sino Building, Shatin, NT Hong Kong.

Carrie Allison (C)

2Autism Research Centre, Department of Psychiatry, University of Cambridge, Douglas House, 18b Trumpington Road, Cambridge, CB2 2AH UK.

Liping Wei (L)

4Centre for Bioinformatics, School of Life Sciences, Peking University, Beijing, 100871 People's Republic of China.
5National Institute of Biological Sciences, Beijing, China.

Fiona E Matthews (FE)

6Institute of Health and Society, Newcastle University, Newcastle, NE4 5PL UK.

Bonnie Auyeung (B)

2Autism Research Centre, Department of Psychiatry, University of Cambridge, Douglas House, 18b Trumpington Road, Cambridge, CB2 2AH UK.
7Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, EH8 9JZ UK.

Yu Yu Wu (YY)

YuNing Psychiatry Clinic, YuNing Growing With You Mental Health Centre, Taipei, Taiwan.

Sian Griffiths (S)

9The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, NT Hong Kong.

Jie Zhang (J)

4Centre for Bioinformatics, School of Life Sciences, Peking University, Beijing, 100871 People's Republic of China.

Simon Baron-Cohen (S)

2Autism Research Centre, Department of Psychiatry, University of Cambridge, Douglas House, 18b Trumpington Road, Cambridge, CB2 2AH UK.

Carol Brayne (C)

1Cambridge Institute of Public Health, Department of Public Health and Primary Care, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR UK.

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