Abstract
Introduction: The global disease burden of major depressive disorder urgently requires prevention in high-risk individuals, such as recently discovered insomnia subtypes. Previous studies targeting insomnia with fully automated eHealth interventions to prevent depression are inconclusive: dropout was high and likely biased, and depressive symptoms in untreated participants on average improved rather than worsened. Objective: This randomized controlled trial aimed to efficiently prevent the worsening of depressive symptoms by selecting insomnia subtypes at high risk of depression for internet-based circadian rhythm support (CRS), cognitive behavioral therapy for insomnia (CBT-I), or their combination (CBT-I+CRS), with online therapist guidance to promote adherence. Methods: Participants with an insomnia disorder subtype conveying an increased risk of depression (n = 132) were randomized to no treatment (NT), CRS, CBT-I, or CBT-I+CRS. The Inventory of Depressive Symptomatology - Self Report (IDS-SR) was self-administered at baseline and at four follow-ups spanning 1 year. Results: Without treatment, depressive symptoms indeed worsened (d = 0.28, p = 0.041) in high-risk insomnia, but not in a reference group with low-risk insomnia. Therapist-guided CBT-I and CBT-I+CRS reduced IDS-SR ratings across all follow-up assessments (respectively, d = -0.80, p = 0.001; d = -0.95, p < 0.001). Only CBT-I+CRS reduced the 1-year incidence of clinically meaningful worsening (p = 0.002). Dropout during therapist-guided interventions was very low (8%) compared to previous automated interventions (57-62%). Conclusions: The findings tentatively suggest that the efficiency of population-wide preventive strategies could benefit from the possibility to select insomnia subtypes at high risk of developing depression for therapist-guided digital CBT-I+CRS. This treatment may provide effective long-term prevention of worsening of depressive symptoms. Trial registration: the Netherlands Trial Register (NL7359).
Original language | English |
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Pages (from-to) | 168-179 |
Number of pages | 12 |
Journal | Psychotherapy and Psychosomatics |
Volume | 91 |
Issue number | 3 |
Early online date | 6 Dec 2021 |
DOIs | |
Publication status | Published - May 2022 |
Bibliographical note
Funding Information:J.La. and T.v.d.Z. developed the digital CBT-I treatment module supported by Governmental Support through research grants, and without any commercial interest. None of the authors have a conflict of interest to declare.
Publisher Copyright:
© 2021
Funding
J.La. and T.v.d.Z. developed the digital CBT-I treatment module supported by Governmental Support through research grants, and without any commercial interest. None of the authors have a conflict of interest to declare.
Funders | Funder number |
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Horizon 2020 Framework Programme | 671084 |
European Research Council | ERC-ADG-2014-671084 |
Keywords
- Depressive symptoms
- Insomnia treatment
- Prevention
- Randomized controlled trial