Internet-Based Cognitive Behavior Therapy for Loneliness: A Pilot Randomized Controlled Trial.


Journal

Behavior therapy
ISSN: 1878-1888
Titre abrégé: Behav Ther
Pays: England
ID NLM: 1251640

Informations de publication

Date de publication:
01 2020
Historique:
received: 27 02 2018
revised: 30 04 2019
accepted: 01 05 2019
entrez: 2 2 2020
pubmed: 2 2 2020
medline: 11 8 2020
Statut: ppublish

Résumé

Loneliness has been described as a common source of discomfort based on a subjective discrepancy between the actual and desired social situation. For some people this feeling may become a sustained state that is associated with a wide range of psychiatric and psychosocial problems. While there are few existing treatment protocols, interventions based on cognitive behavioral therapy (CBT) have shown positive effects. The current study investigated the efficacy of an 8-week internet-based treatment containing CBT components aimed at reducing feelings of loneliness. Seventy-three participants were recruited from the general public and randomly allocated to treatment or a wait-list control condition. Participants were assessed with standardized self-report measures of loneliness, depression, social anxiety, worry, and quality of life at pretreatment and posttreatment. Robust linear regression analysis of all randomized participants showed significant treatment effects on the primary outcome measure of loneliness (between group Cohen's d = 0.77), and on secondary outcomes measuring quality of life and social anxiety relative to control at postassessment. The results suggest the potential utility of internet-based CBT in alleviating loneliness but more research on the long-term effects and the mechanisms underlying the effects is needed.

Identifiants

pubmed: 32005340
pii: S0005-7894(19)30047-4
doi: 10.1016/j.beth.2019.05.001
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

54-68

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Anton Käll (A)

Linköping University.

Sofia Jägholm (S)

Linköping University.

Hugo Hesser (H)

Linköping University.

Frida Andersson (F)

Linköping University.

Aleksi Mathaldi (A)

Linköping University.

Beatrice Tiger Norkvist (BT)

Linköping University.

Roz Shafran (R)

University College London.

Gerhard Andersson (G)

Linköping University; Karolinska Institute. Electronic address: gerhard.andersson@liu.se.

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Classifications MeSH