shh.sePublications
Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Predictors and sub-groups in the treatment of stress-induced exhaustion disorder
Sophiahemmet University.ORCID iD: 0000-0001-9717-0935
Show others and affiliations
2023 (English)In: Cognitive Behaviour Therapy, ISSN 1650-6073, E-ISSN 1651-2316, Vol. 52, no 4, p. 397-418Article in journal (Refereed) Published
Abstract [en]

Little is known about psychological interventions for stress-induced Exhaustion disorder (ED), and there is a need for more research to improve the outcomes obtained in treatments. The present study examines predictors of improvement, including sub-group responses, in a large sample of ED patients receiving a Multimodal intervention (MMI) based on Cognitive Behavior Therapy (N = 915). In step one, available variables were explored separately as predictors of improvement in ED symptoms. In step two, sub-groups were explored through Latent Class Analysis to reduce the heterogeneity observed in the larger group and to investigate whether combining the variables from step one predicted symptom improvement. Younger age, no previous sick leave due to ED, and scoring high on anxiety, depression, insomnia, perfectionism, and treatment credibility emerged as separate predictors of improvement. In the sub-group analyses, a sub-group including participants who were single and had a lower income showed less improvement. Overall, people with ED participating in MMI report symptom improvement regardless of characteristics before treatment. However, the present findings do have the potential to inform future treatments for ED, as they highlight perfectionism as a predictor of improvement and the importance of assessing treatment credibility during treatment.

Place, publisher, year, edition, pages
2023. Vol. 52, no 4, p. 397-418
Keywords [en]
Exhaustion disorder, Clinical burnout, Multimodal intervention, Predictors, Sub-groups
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:shh:diva-4910DOI: 10.1080/16506073.2023.2197148PubMedID: 37039046OAI: oai:DiVA.org:shh-4910DiVA, id: diva2:1759240
Available from: 2023-05-25 Created: 2023-05-25 Last updated: 2023-06-19Bibliographically approved

Open Access in DiVA

fulltext(1746 kB)117 downloads
File information
File name FULLTEXT01.pdfFile size 1746 kBChecksum SHA-512
af5380f4741e848b4068405074d4277a18114bb3035bc178b49bf3c391aa2df095e72cb28ca76cce0dbc938250e5db39ad3a693faf0839f1caf70d11ba1f59b7
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records

Johansson, Fred

Search in DiVA

By author/editor
Johansson, Fred
By organisation
Sophiahemmet University
In the same journal
Cognitive Behaviour Therapy
Applied Psychology

Search outside of DiVA

GoogleGoogle Scholar
Total: 117 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf