Prevalence estimates of mental health problems in children and adolescents with intellectual disability: A systematic review and meta-analysis.


Journal

The Australian and New Zealand journal of psychiatry
ISSN: 1440-1614
Titre abrégé: Aust N Z J Psychiatry
Pays: England
ID NLM: 0111052

Informations de publication

Date de publication:
10 2020
Historique:
pubmed: 2 6 2020
medline: 19 8 2021
entrez: 2 6 2020
Statut: ppublish

Résumé

Children and adolescents with intellectual disability are at risk of developing psychiatric symptoms and disorders; yet, the estimates reported in the literature have been inconsistent, presenting a potential barrier for service planning and delivery. Sources of variability could arise from differences in measurement instruments as well as subgroup membership by severity of intellectual disability, gender and age. This systematic review aimed to address these gaps. MEDLINE and PsycINFO databases were searched from inception to 2018 and selected studies were reviewed. Studies were included if they reported point prevalence estimates of mental health symptomology or diagnoses in a general population of 6- to 21-year-old individuals with intellectual disability. The Joanna Briggs Institute Prevalence Critical Appraisal Checklist was applied to eligible papers to appraise their scientific strength. Pooled prevalence for mental health symptomology was determined using a random-effects meta-analysis. A total of 19 studies were included, including 6151 children and adolescents. The pooled prevalence estimate captured by the Developmental Behaviour Checklist was 38% (95% confidence interval = [31, 46]), contrasting with 49% (95% confidence interval = [46, 51]) captured by the Child Behaviour Checklist; both rates were higher than a non-intellectual disability population. Severity of intellectual disability did not significantly influence the Developmental Behaviour Checklist risks. Insufficient data were available to conduct statistical analyses on the effects of age, gender and socioeconomic status. Of diagnosed psychiatric disorders, attention deficit/hyperactivity disorder (30%), conduct disorder (3-21%) and anxiety disorders (7-34%) were the most prevalent conditions. This review consists of the largest sample hitherto evaluated. In the intellectual disability population, mental health comorbidities could be better detected by a symptom phenotype than a psychiatric diagnostic phenotype. Crucially, future research needs to address the effect of measurement validity in the intellectual disability population. Estimated prevalence rates were high compared to the general population, indicating the importance of systematic screening, case detection and appropriate management.

Sections du résumé

BACKGROUND
Children and adolescents with intellectual disability are at risk of developing psychiatric symptoms and disorders; yet, the estimates reported in the literature have been inconsistent, presenting a potential barrier for service planning and delivery. Sources of variability could arise from differences in measurement instruments as well as subgroup membership by severity of intellectual disability, gender and age. This systematic review aimed to address these gaps.
METHOD
MEDLINE and PsycINFO databases were searched from inception to 2018 and selected studies were reviewed. Studies were included if they reported point prevalence estimates of mental health symptomology or diagnoses in a general population of 6- to 21-year-old individuals with intellectual disability. The Joanna Briggs Institute Prevalence Critical Appraisal Checklist was applied to eligible papers to appraise their scientific strength. Pooled prevalence for mental health symptomology was determined using a random-effects meta-analysis.
RESULTS
A total of 19 studies were included, including 6151 children and adolescents. The pooled prevalence estimate captured by the Developmental Behaviour Checklist was 38% (95% confidence interval = [31, 46]), contrasting with 49% (95% confidence interval = [46, 51]) captured by the Child Behaviour Checklist; both rates were higher than a non-intellectual disability population. Severity of intellectual disability did not significantly influence the Developmental Behaviour Checklist risks. Insufficient data were available to conduct statistical analyses on the effects of age, gender and socioeconomic status. Of diagnosed psychiatric disorders, attention deficit/hyperactivity disorder (30%), conduct disorder (3-21%) and anxiety disorders (7-34%) were the most prevalent conditions.
CONCLUSION
This review consists of the largest sample hitherto evaluated. In the intellectual disability population, mental health comorbidities could be better detected by a symptom phenotype than a psychiatric diagnostic phenotype. Crucially, future research needs to address the effect of measurement validity in the intellectual disability population. Estimated prevalence rates were high compared to the general population, indicating the importance of systematic screening, case detection and appropriate management.

Identifiants

pubmed: 32475125
doi: 10.1177/0004867420924101
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

970-984

Auteurs

Nicholas Buckley (N)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.

Emma J Glasson (EJ)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.

Wai Chen (W)

Mental Health Service, Fiona Stanley Hospital, Department of Health, Perth, WA, Australia.
Centre for Child and Adolescent Related Disorders, Graduate School of Education, The University of Western Australia, Perth, WA, Australia.
School of Paediatrics and Child Health, The University of Western Australia, Perth, WA, Australia.
Current affiliations: Mental Health Service, Fiona Stanley Hospital, Department of Health, Perth, WA, Australia; School of Medicine, Notre Dame University, Fremantle, Perth, WA, Australia and College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia.

Amy Epstein (A)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.

Helen Leonard (H)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.

Rachel Skoss (R)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.

Peter Jacoby (P)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.

Amanda Marie Blackmore (AM)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Therapy and Other Health Services, Ability Centre, Perth, WA, Australia.

Ravisha Srinivasjois (R)

Department of Neonatology, Joondalup Health Campus, Perth, WA, Australia.

Jenny Bourke (J)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.

Richard J Sanders (RJ)

Sanders Consulting, Perth, WA, Australia.

Jenny Downs (J)

Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia.

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Classifications MeSH