Randomized controlled trial of a web-based Acceptance and Commitment Therapy (ACT) program to promote mental health in university students.


Journal

Journal of clinical psychology
ISSN: 1097-4679
Titre abrégé: J Clin Psychol
Pays: United States
ID NLM: 0217132

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 31 8 2019
medline: 8 6 2021
entrez: 31 8 2019
Statut: ppublish

Résumé

This study evaluated a 4-week web-based Acceptance and Commitment Therapy (ACT) mental health promotion intervention for university students. Participants were randomized to intervention (n = 596) or waitlist control (n = 566). Assessment of primary outcomes (depression, anxiety, stress, well-being, self-compassion, life satisfaction, and academic performance) and ACT processes (acceptance, cognitive fusion, education values, valued living, and present moment awareness) occurred at pre- and post-intervention and 12-week follow-up for intervention participants, and the same pre-post interval for waitlist control participants. Analyses showed significant improvements from pre- to post-intervention compared with waitlist control on all primary outcomes and ACT processes. All intervention gains were maintained at follow-up. Improvements on all primary outcomes were mediated by three or more ACT processes in both samples. Intervention effects were consistent across both sample groupings. Findings provide support for a web-based ACT mental health promotion intervention for university students.

Identifiants

pubmed: 31468528
doi: 10.1002/jclp.22848
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

929-951

Informations de copyright

© 2019 Wiley Periodicals, Inc.

Auteurs

Shelley Viskovich (S)

Doctor of Philosophy, School of Psychology, University of Queensland, Brisbane, Queensland, Australia.

Kenneth Ian Pakenham (KI)

Professor of Clinical and Health Psychology, School of Psychology, University of Queensland, Brisbane, Queensland, Australia.

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Classifications MeSH