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dc.contributor.authorMyklebost, Sunniva Brurok
dc.contributor.authorGjestad, Rolf
dc.contributor.authorInal, Yavuz
dc.contributor.authorHammar, Åsa Karin
dc.contributor.authorNordgreen, Tine
dc.date.accessioned2022-12-28T09:18:31Z
dc.date.available2022-12-28T09:18:31Z
dc.date.created2022-03-15T14:03:11Z
dc.date.issued2022
dc.identifier.issn1664-0640
dc.identifier.urihttps://hdl.handle.net/11250/3039609
dc.description.abstractObjective: Residual cognitive symptoms after depression are common and associated with reduced daily life functioning and an increased risk of depression relapse. There is a lack of knowledge on treatments targeting residual cognitive symptoms after major depressive disorder (MDD), including the factors associated with treatment response. The aim of the current study is to explore factors of treatment response to a guided internet-delivered intervention for former depressed adults experiencing residual cognitive symptoms. Method: Forty-three former depressed adults with residual cognitive symptoms were included. Linear mixed model analyses were used to investigate the impact of pre-treatment demographic-, illness, and symptom variables, and therapy process variables, such as credibility, expectancy, and user behavior, on reduction in residual cognitive symptoms from pre-treatment to 6-month follow-up. Results: Having had MDD for a year or less predicted more reductions in residual cognitive symptoms from pre- to 6-month follow-up. Higher levels of perceived treatment credibility and expectancy evaluated in the early course of treatment did also predict a positive treatment response. No demographic-, symptom-variables, previous number of episodes with MDD, and user behavior were associated with change in residual cognitive symptoms. Conclusion: This study suggests that individuals with shorter duration of previous depressions might have larger reductions in residual cognitive symptoms at 6-month follow-up compared to those with a longer duration of depression. Treatment credibility and expectancy also predicted treatment response and effort should also be made to ensure interventions credibility. Results should be interpreted with caution due to the study having a low sample size. Further investigation of predictors should be conducted in a full scale randomized controlled trial.en_US
dc.language.isoengen_US
dc.publisherFrontiersen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePredictors of treatment response to an internet-delivered intervention targeting residual cognitive symptoms after major depressive disorderen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.source.articlenumber795698en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3389/fpsyt.2022.795698
dc.identifier.cristin2009981
dc.source.journalFrontiers in Psychiatryen_US
dc.relation.projectNorges forskningsråd: 259293en_US
dc.identifier.citationFrontiers in Psychiatry. 2022, 13, 795698.en_US
dc.source.volume13en_US


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Navngivelse 4.0 Internasjonal
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