Population Prevalence of the Posttraumatic Stress Disorder Subtype for Young Children in Nationwide Surveys of the British General Population and of Children in Care.


Journal

Journal of the American Academy of Child and Adolescent Psychiatry
ISSN: 1527-5418
Titre abrégé: J Am Acad Child Adolesc Psychiatry
Pays: United States
ID NLM: 8704565

Informations de publication

Date de publication:
10 2021
Historique:
received: 07 09 2020
revised: 12 12 2020
accepted: 24 02 2021
pubmed: 6 3 2021
medline: 21 10 2021
entrez: 5 3 2021
Statut: ppublish

Résumé

Posttraumatic stress disorder (PTSD) is a debilitating condition that when left untreated can have severe lifelong consequences for psychological, social, and occupational functioning. Initial conceptualizations of PTSD were centered on adult presentations. However, the instantiation of developmentally appropriate PTSD in young children (PTSD-YC) criteria, tailored to preschool (6 years old and younger) children, represents an important step toward identifying more young children experiencing distress. This study explored population-level prevalence of PTSD-YC indexed via an alternative algorithm for DSM-IV PTSD (AA-PTSD). Representative population data were used to test whether application of AA-PTSD criteria, relative to the DSM-IV PTSD algorithm, increased identification of 5- to 6-year-old children with clinical needs in both the general population (n = 3,202) and among looked after children (ie, in Britain, foster children are called looked after children [more commonly referred to as children in care].) (n = 137), in whom the risk of mental health issues is greater. Notably, no 5- to 6-year-old children in the general population sample were diagnosed with PTSD using adult-based DSM-IV criteria. In contrast, AA-PTSD prevalence was 0.4% overall, rising to 5.4% in trauma-exposed children. In looked after children, overall PTSD prevalence rose from 1.2% when applying adult-based DSM-IV criteria to 14% when using AA-PTSD criteria. Of trauma-exposed looked after children, 2.7% met criteria for DSM-IV PTSD compared with 57.0% when applying AA-PTSD criteria. In both samples, use of the alternative algorithm to index PTSD-YC criteria markedly increased identification of children experiencing functional impairment owing to symptoms. Results demonstrate the utility of the PTSD-YC diagnosis beyond at-risk and treatment-seeking samples. Use of PTSD-YC criteria substantially improves identification of 5- to 6-year-old children burdened by PTSD at the population level.

Identifiants

pubmed: 33667605
pii: S0890-8567(21)00139-8
doi: 10.1016/j.jaac.2020.12.036
pmc: PMC7614479
mid: EMS173939
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1278-1287.e3

Subventions

Organisme : Medical Research Council
ID : MC_PC_17213
Pays : United Kingdom
Organisme : Department of Health
ID : PB-PG-0211-24045
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/P017355/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00005/4
Pays : United Kingdom
Organisme : Medical Research Council
ID : G108/625
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00005/14
Pays : United Kingdom
Organisme : Medical Research Council
ID : SUAG/043 G101400
Pays : United Kingdom
Organisme : Department of Health
ID : 247730
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 107496/Z/15/Z
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

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Auteurs

Caitlin Hitchcock (C)

Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.

Benjamin Goodall (B)

Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.

Olivia Sharples (O)

University of Exeter, United Kingdom.

Richard Meiser-Stedman (R)

University of East Anglia, Norwich, United Kingdom.

Peter Watson (P)

Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom.

Tamsin Ford (T)

University of Cambridge, United Kingdom.

Tim Dalgleish (T)

Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom. Electronic address: tim.dalgleish@mrc-cbu.cam.ac.uk.

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Classifications MeSH