Online citations, reference lists, and bibliographies.

Pervasive Developmental Disorders In Preschool Children.

S. Chakrabarti, E. Fombonne
Published 2001 · Medicine

Cite This
Download PDF
Analyze on Scholarcy
Share
CONTEXT Prevalence rates of autism-spectrum disorders are uncertain, and speculation that their incidence is increasing continues to cause concern. OBJECTIVE To estimate the prevalence of pervasive developmental disorders (PDDs) in a geographically defined population of preschool children. DESIGN, SETTING, AND PARTICIPANTS Survey conducted July 1998 to June 1999 in Staffordshire, England. The area's 15 500 children aged 2.5 to 6.5 years were screened for developmental problems. Children with symptoms suggestive of a PDD were intensively assessed by a multidisciplinary team, which conducted standardized diagnostic interviews and administered psychometric tests. MAIN OUTCOME MEASURE Prevalence estimates for subtypes of PDDs. RESULTS A total of 97 children (79.4% male) were confirmed to have a PDD. The prevalence of PDDs was estimated to be 62.6 (95% confidence interval, 50.8-76.3) per 10 000 children. Prevalences were 16.8 per 10 000 for autistic disorder and 45.8 per 10 000 for other PDDs. The mean age at diagnosis was 41 months, and 81% were originally referred by health visitors (nurse specialists). Of the 97 children with a PDD, 25.8% had some degree of mental retardation and 9.3% had an associated medical condition. CONCLUSIONS Our results suggest that rates of PDD are higher than previously reported. Methodological limitations in existing epidemiological investigations preclude interpretation of recent high rates as indicative of increased incidence of these disorders although this hypothesis requires further rigorous testing. Attention is nevertheless drawn to the important needs of a substantial minority of preschool children.
This paper references
Erratum: The screening and diagnosis of autistic spectrum disorders (Journal of Autism and Developmental Disorders (December 1999) 29:6 (439- 484))
P. A. Filipek (2000)
10.1017/S0033291799008508
The epidemiology of autism: a review.
E. Fombonne (1999)
10.1007/s007870070039
Autism in Northern Finland
M. Kielinen (2000)
10.1097/00005053-193201000-00048
MENTAL MEASUREMENT OF PRESCHOOL CHILDREN
R. Stutsman
10.1007/BF02172020
Brief report: Early intervention in autism
S. Rogers (1996)
Health for all children : report of the Third Joint Working Party on Child Health Surveillance
D. Hall (1996)
10.1097/00004703-200102000-00018
A screening instrument for autism at 18 months of age: A 6-year follow-up study
A. Sandler (2001)
10.1001/JAMA.285.9.1183
Time trends in autism and in MMR immunization coverage in California.
L. Dales (2001)
10.1023/A:1005647629002
Brief Report: Screening Tool for Autism in Two-Year-Olds (STAT): Development and Preliminary Data
W. Stone (2000)
Diagnosis in autism: a survey of over 1200 patients
P Howlin (1997)
10.1023/A:1021943802493
The Screening and Diagnosis of Autistic Spectrum Disorders
P. A. Filipek (1999)
10.1016/S0890-8567(09)66566-7
Autism and associated medical disorders in a French epidemiological survey.
É. Fombonne (1997)
10.1037/0033-2909.83.5.762
On various intraclass correlation reliability coefficients.
J. Bartko (1976)
10.1111/j.1469-7610.1994.tb01164.x
Autism and known medical conditions: myth and substance.
M. Rutter (1994)
10.1038/sj.mp.4001162
Epidemiological trends in rates of autism
E. Fombonne (2002)
10.1201/9780203026229.CH6
The screening and diagnosis of autistic spectrum disorders.
P. Filipek (1999)
Statistic/Data Analysis
STATA Corp (1997)
10.1007/BF02212936
Autism diagnostic interview: A standardized investigator-based instrument
A. Couteur (1989)
10.1017/S0033291700028099
Autism as a strongly genetic disorder: evidence from a British twin study.
A. Bailey (1995)
Autism and associated medical disorders in a large French epidemiological sample
E Fombonne (1997)
Epidemiological surveys of autism: a review
E. Fombonne (1999)
Epidemiological investigations of autism and other pervasive developmental disorders
E. Fombonne (2001)
10.1016/S0140-6736(05)75696-8
MMR vaccination and autism
A. Wakefield (1999)
10.1097/00004583-199011000-00004
Age of symptom onset in young children with pervasive developmental disorders.
S. Rogers (1990)
10.1097/00004583-200107000-00017
Prevalence of pervasive developmental disorders in the British nationwide survey of child mental health.
E. Fombonne (2001)
10.1023/A:1026096203946
Genetics of Autism: Overview and New Directions
P. Szatmari (1998)
10.1007/bf00578950
Epidemiology of autistic conditions in young children
V. Lotter (1967)
Diagnosis in
P Howlin (2001)
10.1007/s007870050058
Parental recognition of developmental abnormalities in autism
A. De Giacomo (1998)
10.1023/A:1026052417561
How Commonly Are Known Medical Conditions Associated with Autism?
M. Barton (1998)
10.1007/BF02172145
Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders
C. Lord (1994)
10.1542/PEDS.107.2.411
Is there an epidemic of autism?
E. Fombonne (2001)
10.1023/A:1005592401947
The Autism Diagnostic Observation Schedule—Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism
C. Lord (2000)
Manual for Wechsler Pre-school and Primary Scale of Intelligence-Revised (British Amendments)
D. Weschler (1990)
Community Report Available at
(2000)
10.1007/BF01531288
Severe impairments of social interaction and associated abnormalities in children: Epidemiology and classification
L. Wing (1979)
10.1177/1362361397012003
Diagnosis in Autism
P. Howlin (1997)
10.1007/BF01046328
Diagnostic assessment in a sample of autistic and developmentally impaired adolescents
É. Fombonne (1992)



This paper is referenced by
10.3386/w18238
The Effect of an Increase in Autism Prevalence on the Demand for Auxiliary Healthcare Workers: Evidence from California
D. Dave (2012)
10.1075/tilar.4.06ger
The role of language and communication impairments within autism
M. Gernsbacher (2005)
10.1097/00001163-200504000-00002
Early Intervention in Autism
Christina Corsello (2005)
10.1093/BRAIN/AWH425
Atypical sleep architecture and the autism phenotype.
É. Limoges (2005)
10.1016/j.neuroimage.2004.02.029
A voxel-based investigation of brain structure in male adolescents with autistic spectrum disorder
G. Waiter (2004)
10.1007/BF03341110
The California School Psychologist Contributes Valuable Knowledge to Promote Student Success
S. Jimerson (2006)
10.1016/j.biopsych.2005.06.007
Neural Correlates of Executive Function in Autistic Spectrum Disorders
N. Schmitz (2006)
10.1016/J.ANPEDI.2013.04.022
Estimación de la prevalencia de los trastornos del espectro autista en Canarias
M. S. F. Sevilla (2013)
10.1016/j.jpeds.2011.02.036
Detecting, studying, and treating autism early: the one-year well-baby check-up approach.
K. Pierce (2011)
The power and promise of identifying autism early: insights from the search for clinical and biological markers.
K. Pierce (2009)
10.5772/INTECHOPEN.83610
INA Early Intervention for Babies at Risk
Hagit Friedman (2019)
Measuring and Modulating Mimicry: Insights from Virtual Reality and Autism
P. Forbes (2018)
10.1111/j.1469-1809.2009.00523.x
A Genome‐wide Association Study of Autism Reveals a Common Novel Risk Locus at 5p14.1
D. Ma (2009)
10.1542/peds.2005-2993
Pervasive Developmental Disorders in Montreal, Quebec, Canada: Prevalence and Links With Immunizations
E. Fombonne (2006)
10.1100/tsw.2006.220
Fmr1 KO Mice as a Possible Model of Autistic Features
Maude Bernardet (2006)
10.1007/S10803-006-0317-5
Vicarious Futurity in Autism and Childhood Dementia
M. Wong (2007)
10.1097/CHI.0B013E31812F7D8D
Validation of the social communication questionnaire in a population cohort of children with autism spectrum disorders.
S. Chandler (2007)
10.1007/S10803-007-0450-9
The Modified Checklist for Autism in Toddlers: A Follow-up Study Investigating the Early Detection of Autism Spectrum Disorders
Jamie M Kleinman (2008)
AtypicalFaceVersusObjectProcessingandHemispheric Asymmetriesin10-Month-OldInfantsatRiskforAutism
J. McCleery (2009)
Otizm: Klinik ve nörobiyolojik özellikleri, erken tan›, tedavi ve baz› güncel geliflmeler
Yaz › flma Adresi (2010)
10.1111/J.1467-8578.2010.00483.X
Earlybird in South Staffordshire: Reflections on an Innovative Model of Interagency Working to Deliver an Intervention for Families of Preschool Children with Autistic Spectrum Disorder.
Julia Halpin (2011)
Programme d’intervention pour les parents d’enfants autistes âgés de 2 à 6 ans
Ghitza Thermidor (2011)
10.1177/1362361311413399
Factors affecting the age at diagnosis of autism spectrum disorders in Nova Scotia, Canada
Priscilla Frenette (2013)
Running head: PRENATAL ANDROGEN EXPOSURE AND AUTISTIC TRAITS 1 No Relationship Between Prenatal Androgen Exposure and Autistic Traits: Convergent Evidence From Studies of Children With Congenital Adrenal Hyperplasia and of Amniotic Testosterone Concentrations in Typically-Developing Children
Karson T. F. Kung (2016)
10.1186/1476-069X-12-41
Prenatal and perinatal analgesic exposure and autism: an ecological link
Ann Z. Bauer (2013)
Prevalence of autism spectrum disorders--autism and developmental disabilities monitoring network, 14 sites, United States, 2002.
Jon Baio (2007)
Effects of music therapy on prosocial behavior of students with autism and developmental disabilities
de Mers (2007)
Correlates and Risk Markers for Psychopathology in Young Children with and without Autism Spectrum Disorder
V. Rodríguez (2010)
Service Use by Children with Autism Spectrum Disorders in Medicaid Managed Care
L. A. Ruble (2005)
10.1016/j.encep.2012.01.013
[Cognitive profiles in pervasive developmental disorders].
A-M Girardot (2012)
Diferencias y similitudes del perfil de capacidad intelectual dentro del espectro del autismo de alto funcionamiento : implicaciones educativas
Noemí Balmaña Gelpí (2014)
Examining the clinical utility of the modified Alarm Distress Baby Scale (m-ADBB) for the detection of early signs of Autism Spectrum Disorder
Marion Bettina Christl (2016)
See more
Semantic Scholar Logo Some data provided by SemanticScholar