Population-level effectiveness of alternative approaches to preventing mental disorders in adolescents and young adults.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 11 2023
Historique:
received: 22 01 2023
accepted: 12 11 2023
medline: 17 11 2023
pubmed: 16 11 2023
entrez: 15 11 2023
Statut: epublish

Résumé

Preventive interventions that are effective in reducing the incidence of mental disorders in adolescence and early adulthood may impact substantially on lifetime economic, educational, and health outcomes; however, relatively few studies have examined the capacity of alternative approaches to preventing youth mental disorders (specifically, universal, selective, and indicated prevention) to reduce disorder incidence at a population level. Using a dynamic model of the onset of non-specific, relatively mild symptoms and progression to more severe disease, we show that: (1) indicated preventive interventions, targeting adolescents and young adults experiencing subthreshold symptoms, may often be more effective in reducing mental disorder prevalence than universal interventions delivered to the general population (contrary to the widely accepted view that a 'high risk' prevention strategy, focussing on those individuals with the greatest risk of developing a disorder, will generally be less effective than a whole-population strategy); and (2) the ability of selective preventive interventions (targeting vulnerable, asymptomatic youth) to alter the prevalence of mental disorders is severely restricted by an inverse relationship between the prevalence of significant risk factors for mental illness and the relative risk of developing symptoms.

Identifiants

pubmed: 37968445
doi: 10.1038/s41598-023-47322-2
pii: 10.1038/s41598-023-47322-2
pmc: PMC10652005
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

19982

Informations de copyright

© 2023. The Author(s).

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Auteurs

Adam Skinner (A)

Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia. adam.skinner@sydney.edu.au.

Jo-An Occhipinti (JA)

Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Computer Simulation and Advanced Research Technologies (CSART), Sydney, Australia.

Yun Ju Christine Song (YJC)

Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.

Ian B Hickie (IB)

Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.

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Classifications MeSH