An investigation and replication of sleep‐related cognitions, acceptance and behaviours as predictors of short‐ and long‐term outcome in cognitive behavioural therapy for insomnia.

Autor: Blom, Kerstin, Hentati Isacsson, Nils, Forsell, Erik, Rosén, Ann, Kraepelien, Martin, Jernelöv, Susanna, Kaldo, Viktor
Předmět:
Zdroj: Journal of Sleep Research; Oct2021, Vol. 30 Issue 5, p1-11, 11p
Abstrakt: Summary: The objectives were to investigate the potential for sleep‐related behaviours, acceptance and cognitions to predict outcome (insomnia severity) of cognitive behavioural therapy for insomnia (CBT‐I). Baseline and outcome data from four randomised controlled trials (n = 276) were used. Predictors were the Dysfunctional Beliefs and Attitudes about Sleep‐10 (DBAS‐10), Sleep‐Related Behaviours Questionnaire (SRBQ), and Sleep Problems Acceptance Questionnaire (SPAQ), and empirically derived factors from a factor analysis combining all items at baseline (n = 835). Baseline values were used to predict post‐treatment outcome, and pre–post changes in the predictors were used to predict follow‐up outcomes after 3–6 months, 1 year, or 3–10 years, measured both as insomnia severity and as better or worse long‐term sleep patterns. A majority (29 of 52) of predictions of insomnia severity were significant, but when controlling for insomnia severity, only two (DBAS‐10 at short‐term and SRBQ at mid‐term follow‐up) of the 12 predictions using established scales, and three of the 40 predictions using empirically derived factors, remained significant. The strongest predictor of a long‐term, stable sleep pattern was insomnia severity reduction during treatment. Using all available predictors in an overfitted model, 21.2% of short‐ and 58.9% of long‐term outcomes could be predicted. We conclude that although the explored constructs may have important roles in CBT‐I, the present study does not support that the DBAS‐10, SRBQ, SPAQ, or factors derived from them, would be unique predictors of outcome. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index