307
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Childhood Mental Disorders in Great Britain: An Epidemiological Perspective

Pages 313-326 | Published online: 13 Aug 2007
 

Abstract

The objective of this article is to describe the prevalence of childhood disorders and examine the factors associated with higher rates of disorder by combining the data from two large population-based samples of British children and young people aged 5–15. Just over 18,000 children were assessed in 1999 and 2004 using the Development and Well-Being Assessment, a structured interview with verbatim reports reviewed by clinicians so that information from parents, teachers and children is combined to produce national estimates of clinically recognisable disorders. The overall prevalence of childhood disorders was 9.5%. Factors which are independently associated with increased rates of childhood mental disorders ranged from characteristics of the child (age, sex, physical health problems, having poor scholastic achievement) to family characteristics (family structure, mother's psychological distress, poor family functioning) and household characteristics (tenure, type of accommodation and the working status of family). In conclusion, roughly one in 10 children have at least one ICD10 disorder, involving a significant level of distress or social impairment. Associations with child, family and household characteristics have implications for treatment strategies.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 244.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.