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The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Prevalence of Autism Spectrum Disorder in a large Italian catchment area: a school-based population study within the ASDEU project

Open access
Narzisi, A., Posada, M., Barbieri, F., Chericoni, N., Ciuffolini, D., Pinzino, M., Romano, R., Scattoni, M.L., Tancredi, R., Calderoni, S., Muratori, F.·2020·Epidemiology and Psychiatric Sciences

Abstract

Aims: This study aims to estimate Autism Spectrum Disorders (ASD) prevalence in school-aged children in the province of Pisa (Italy) using the strategy of the ASD in the European Union (ASDEU) project. Methods: A multistage approach was used to identify cases in a community sample ( N = 10 138) of 7–9-year-old children attending elementary schools in Pisa – Italy. First, the number of children with a disability certificate was collected from the Local Health Authority and an ASD diagnosis was verified by the ASDEU team. Second, a Teacher Nomination form (TN) to identify children at risk for ASD was filled in by teachers who joined the study and the Social Communication Questionnaire (SCQ) was filled in by the parents of children identified as positive by the TN; a comprehensive assessment, which included the Autism Diagnostic Observation Schedule-Second Edition, was performed for children with positive TN and SCQ⩾9. Results: A total of 81 children who had a disability certificate also had ASD (prevalence: 0.79%, i.e. 1/126). Specifically, 66 children (57 males and nine females; 62% with intellectual disability –ID-) were certified with ASD, whereas another 15 (11 males and four females; 80% with ID) were recognised as having ASD among those certified with another neurodevelopmental disorder. Considering the population of 4417 (children belonging to schools which agreed to participate in the TN/SCQ procedure) and using only the number of children certified with ASD, the prevalence (38 in 4417) was 0.86%, i.e. one in 116. As far as this population is concerned, the prevalence rises to 1% if we consider the eight new cases (six males and two females; no subject had ID) identified among children with no pre-existing diagnoses and to 1.15%, i.e., one in 87, if probabilistic estimation is used. Conclusions: This is the first population-based ASD prevalence study conducted in Italy so far and its results indicate a prevalence of ASD in children aged 7–9 years of about one in 87. This finding may help regional, national and international health planners to improve ASD policies for ASD children and their families in the public healthcare system.

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Research works printed but not linked: 53

  1. Wechsler, 2003, Wechsler Intelligence Scale for Children – Fourth Edition (WISC-IV)
  2. 10.1007/s10803-015-2486-6 · DOI · Paper page
  3. 10.25149/1756-8358.1102011 · DOI
  4. Skonieczna-Żydecka, 2016, The prevalence of ASD in West Pomeranian and Pomeranian regions of Poland, Journal of Applied Research in Intellectual Disabilities
  5. 10.1023/A:1024410702242 · DOI
  6. Rutter, 2003a, The Social Communication Questionnaire
  7. Rice, 2013, Evaluating changes in the prevalence of ASD, Public Health Review, 34, 1
  8. 10.1007/s10882-016-9510-4 · DOI
  9. Parsons, 2014, Design and estimation for the National Health Interview Survey, 2006–2015. Vital and Health Statistics, Data Evaluation and Methods Research, 165, 1
  10. 10.21307/sjcapp-2017-001 · DOI
  11. 10.1007/s10803-017-3187-0 · DOI
  12. 10.1007/s10803-018-3581-2 · DOI · Paper page
  13. 10.1186/s13229-017-0121-4 · DOI · Paper page
  14. 10.1097/DBP.0000000000000097 · DOI · Paper page
  15. 10.1001/jama.2017.17812 · DOI · Paper page
  16. 10.1177/1362361316660065 · DOI
  17. 10.1007/s10803-014-2160-4 · DOI
  18. 10.1002/aur.1938 · DOI · Paper page
  19. 2009, Prevalence of autism spectrum disorders – autism and developmental disabilities monitoring network, United States, 2006, Morbidity and Mortality Weekly Report. Surveillance Summaries, 58, 1
  20. 10.1111/j.1469-7610.2007.01762.x · DOI · Paper page
  21. Zablotsky, 2015, Estimated prevalence of Autism and other developmental disabilities following questionnaire changes in the 2014 National Health Interview Survey, National Health Statistics Reports, 87, 1
  22. 2013, Diagnostic and Statistical Manual of Mental Disorders (DSM-5)
  23. 10.1007/s10803-016-2837-y · DOI
  24. 2007, Prevalence of autism spectrum disorders- autism and developmental disabilities monitoring network, six sites, United States, 2000, Morbidity and Mortality Weekly Report. Surveillance Summaries, 56, 1
  25. 2000, Diagnostic and statistical manual of mental disorders
  26. 2014, Prevalence of autism spectrum disorders among children aged 8 years- autism and developmental disabilities monitoring network, 11 sites, United States, 2010, Morbidity and Mortality Weekly Report. Surveillance Summaries, 63, 1
  27. 10.1002/aur.1584 · DOI
  28. 2012, Prevalence of autism spectrum disorders- autism and developmental disabilities monitoring network, 14 sites, United States, 2008, Morbidity and Mortality Weekly Report. Surveillance Summaries, 61, 1
  29. 10.1177/1039856214568214 · DOI
  30. 10.1023/A:1023040610384 · DOI · Paper page
  31. Bishop, 2017, Sex differences in ADOS-2 scores and classifications among verbally fluent children with Autism Spectrum Disorder, Poster presented at the annual International Meeting for Autism Research
  32. 2007, Prevalence of autism spectrum disorders – autism and developmental disabilities monitoring network, 14 sites, United States, 2002, Morbidity and Mortality Weekly Report. Surveillance Summaries, 56, 12
  33. 10.1007/978-3-319-16321-5_2 · DOI · Paper page
  34. 10.1023/A:1015453830880 · DOI · Paper page
  35. 10.1007/s10803-011-1412-9 · DOI
  36. Patel, 2017, Social impairments in autism spectrum disorder are related to maternal immune history profile, Molecular Psychiatry
  37. 10.1007/s10803-010-0984-0 · DOI · Paper page
  38. 10.1002/aur.135 · DOI
  39. 10.1002/aur.239 · DOI · Paper page
  40. Blumberg, 2013, Changes in prevalence of parent-reported autism spectrum disorder in school-aged US children: 2007 to 2011–2012, National Health Statistics Reports, 65, 1
  41. 10.1007/s10803-006-0280-1 · DOI · Paper page
  42. 10.1093/eurpub/ckv175.099 · DOI
  43. 10.1007/s10803-012-1444-9 · DOI · Paper page
  44. 10.1136/bmjopen-2013-002748 · DOI
  45. Rutter, 2003b, ADI-R. Autism Diagnostic Interview Revised
  46. 10.1007/s10803-007-0404-2 · DOI
  47. 10.1136/bmjopen-2013-003219 · DOI · Paper page
  48. 10.1007/s10803-011-1186-0 · DOI
  49. Lord, 2012, Autism Diagnostic Observation Schedule
  50. 10.1177/1362361316673977 · DOI
  51. D'onofrio, 2013, Local banking development and income distribution across Italian provinces, CASMEF Working Paper, 7, 1
  52. 10.1016/j.rasd.2010.03.007 · DOI
  53. 10.1176/appi.ajp.2011.10101532 · DOI · Paper page

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Metadata

Authors
Narzisi, A., Posada, M., Barbieri, F., Chericoni, N., Ciuffolini, D., Pinzino, M., Romano, R., Scattoni, M. L., Tancredi, R., Calderoni, S., & Muratori, F.
Venue
Epidemiology and Psychiatric Sciences
Published
2018-09-06
Volume
29
Pages
e5-e5
ISSN
  • 2045-7960 (ISSN-L)
  • 2045-7979
OpenAlex
W2891165670
Cited by
175
References
22
FWCI
11.48
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Prevalence of Autism Spectrum Disorder in a large Italian catchment area: a school-based population study within the ASDEU project. https://app.cochat.ai/papers/10.1017/s2045796018000483
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Narzisi, A., Posada, M., Barbieri, F., Chericoni, N., Ciuffolini, D., Pinzino, M., Romano, R., Scattoni, M. L., Tancredi, R., Calderoni, S., & Muratori, F. (2020). Prevalence of Autism Spectrum Disorder in a large Italian catchment area: a school-based population study within the ASDEU project. Epidemiology and Psychiatric Sciences. https://doi.org/10.1017/s2045796018000483

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