Identifying trajectories of change in sleep disturbance during psychological treatment for depression.

Community mental health services Depressive disorder Growth-mixture modelling Psychological therapy Sleep disturbance

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
12 Aug 2024
Historique:
received: 12 01 2024
revised: 02 07 2024
accepted: 09 08 2024
medline: 15 8 2024
pubmed: 15 8 2024
entrez: 14 8 2024
Statut: aheadofprint

Résumé

Sleep disturbance may impact response to psychological treatment for depression. Understanding how sleep disturbance changes during the course of psychological treatment, and identifying the risk factors for sleep disturbance response may inform clinical decision-making. This analysis included 18,915 patients receiving high-intensity psychological therapy for depression from one of eight London-based Improving Access to Psychological Therapies (IAPT) services between 2011 and 2020. Distinct trajectories of change in sleep disturbance were identified using growth mixture modelling. The study also investigated associations between identified trajectory classes, pre-treatment patient characteristics, and eventual treatment outcomes from combined PHQ-9 and GAD-7 metrics used by the services. Six distinct trajectories of sleep disturbance were identified: two demonstrated improvement, while one showed initial deterioration and the other three groups displayed only limited change in sleep disturbance, each with varying baseline sleep disturbance. Associations with trajectory class membership were found based on: gender, ethnicity, unemployment status, antidepressant medication use, long-term health condition status, severity of depressive symptom, and functional impairment. Groups that showed improvement in sleep had the best eventual outcomes from depression treatment, followed by groups that consistently slept well. Single item on sleep disturbance used, no data on treatment adherence. These findings reveal heterogeneity in the course of sleep disturbance during psychological treatment for depression. Closer monitoring of changes in sleep disturbance during treatment might inform treatment planning. This includes decisions about when to incorporate sleep management interventions, and whether to change or augment therapy with interventions to reduce sleep disturbance.

Sections du résumé

BACKGROUND BACKGROUND
Sleep disturbance may impact response to psychological treatment for depression. Understanding how sleep disturbance changes during the course of psychological treatment, and identifying the risk factors for sleep disturbance response may inform clinical decision-making.
METHOD METHODS
This analysis included 18,915 patients receiving high-intensity psychological therapy for depression from one of eight London-based Improving Access to Psychological Therapies (IAPT) services between 2011 and 2020. Distinct trajectories of change in sleep disturbance were identified using growth mixture modelling. The study also investigated associations between identified trajectory classes, pre-treatment patient characteristics, and eventual treatment outcomes from combined PHQ-9 and GAD-7 metrics used by the services.
RESULTS RESULTS
Six distinct trajectories of sleep disturbance were identified: two demonstrated improvement, while one showed initial deterioration and the other three groups displayed only limited change in sleep disturbance, each with varying baseline sleep disturbance. Associations with trajectory class membership were found based on: gender, ethnicity, unemployment status, antidepressant medication use, long-term health condition status, severity of depressive symptom, and functional impairment. Groups that showed improvement in sleep had the best eventual outcomes from depression treatment, followed by groups that consistently slept well.
LIMITATION CONCLUSIONS
Single item on sleep disturbance used, no data on treatment adherence.
CONCLUSIONS CONCLUSIONS
These findings reveal heterogeneity in the course of sleep disturbance during psychological treatment for depression. Closer monitoring of changes in sleep disturbance during treatment might inform treatment planning. This includes decisions about when to incorporate sleep management interventions, and whether to change or augment therapy with interventions to reduce sleep disturbance.

Identifiants

pubmed: 39142574
pii: S0165-0327(24)01241-2
doi: 10.1016/j.jad.2024.08.027
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest All authors declare that there are no conflicts of interest.

Auteurs

T T Zhang (TT)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom.

J E J Buckman (JEJ)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom; iCope -Camden and Islington Psychological Therapies Services - Camden & Islington NHS Foundation Trust, London, United Kingdom.

J W Suh (JW)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom.

J Stott (J)

ADAPTlab, Research Department of Clinical Educational and Health Psychology, UCL, London, United Kingdom.

S Singh (S)

Waltham Forest Talking Therapies - North East London NHS Foundation Trust, London, United Kingdom.

R Jena (R)

Waltham Forest Talking Therapies - North East London NHS Foundation Trust, London, United Kingdom.

S A Naqvi (SA)

Barking & Dagenham and Havering IAPT services - North East London NHS Foundation Trust, London, United Kingdom.

S Pilling (S)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom; Camden and Islington NHS Foundation Trust, London, United Kingdom.

J Cape (J)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom.

R Saunders (R)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, UCL, London, United Kingdom. Electronic address: r.saunders@ucl.ac.uk.

Classifications MeSH