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Examining what works for whom and how in mindfulness-based cognitive therapy (MBCT) for recurrent depression: moderated-mediation analysis in the PREVENT trial

Published online by Cambridge University Press:  08 November 2024

Jesus Montero-Marin
Affiliation:
Teaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain Department of Psychiatry, Warneford Hospital, University of Oxford, UK Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health-CIBERESP), Madrid, Spain
Verena Hinze
Affiliation:
Department of Psychiatry, Warneford Hospital, University of Oxford, UK
Shannon Maloney
Affiliation:
Department of Psychiatry, Warneford Hospital, University of Oxford, UK
Anne Maj van der Velden
Affiliation:
Department of Psychiatry, Warneford Hospital, University of Oxford, UK Department of Psychiatry, Radboudumc, Donders Institute for Brain and Behaviour, Radboud University, Nijmegen, the Netherlands
Rachel Hayes
Affiliation:
Mood Disorders Centre, School of Psychology, University of Exeter, UK
Edward R. Watkins
Affiliation:
Mood Disorders Centre, School of Psychology, University of Exeter, UK
Sarah Byford
Affiliation:
King's College London, Centre for the Economics of Mental Health, Institute of Psychiatry, London, UK
Tim Dalgleish
Affiliation:
Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, UK
Willem Kuyken*
Affiliation:
Department of Psychiatry, Warneford Hospital, University of Oxford, UK
*
Correspondence: Willem Kuyken. Email: willem.kuyken@psych.ox.ac.uk
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Abstract

Background

Personalised management of recurrent depression, considering individual patient characteristics, is crucial.

Aims

This study evaluates the potentially different mediating role of mindfulness skills in managing recurrent depression using mindfulness-based cognitive therapy (MBCT) among people with varying depression severity.

Method

Data from the Prevention of Depressive Relapse or Recurrence (PREVENT) trial, comparing MBCT (with antidepressant medication (ADM) tapering support, MBCT-tapering support) versus maintenance-ADM, were used. The study included pre, post, 9-, 12-, 18- and 24-month follow-ups. Adults with ≥3 previous major depressive episodes, in full/partial remission (below threshold for a current episode), on ADM, were assessed for eligibility in primary care practices in the UK. People were randomised (1:1) to MBCT-tapering support or maintenance-ADM. We used the Beck Depression Inventory-II to evaluate depressive symptom changes over the six time points. Pre-post treatment, we employed the Five Facets of Mindfulness Questionnaire to gauge mindfulness skills. Baseline symptom and history variables were used to identify individuals with varying severity profiles. We conducted Latent Profile Moderated-Mediation Growth Mixture Models.

Results

A total of 424 people (mean (s.d.) age = 49.44 (12.31) years; with 325 (76.7%) self-identified as female) were included. A mediating effect of mindfulness skills, between trial arm allocation and the linear rate of depressive symptoms change over 24 months, moderated by depression severity, was observed (moderated-mediation index = −0.27, 95% CI = −0.66, −0.03). Conditional indirect effects were −0.42 (95% CI = −0.78, −0.18) for higher severity (expected mean BDI-II reduction = 10 points), and −0.15 (95% CI = −0.35, −0.02) for lower severity (expected mean BDI-II reduction = 3.5 points).

Conclusions

Mindfulness skills constitute a unique mechanism driving change in MBCT (versus maintenance-ADM). Individuals with higher depression severity may benefit most from MBCT-tapering support for residual symptoms. It is unclear if these effects apply to those with a current depressive episode. Future research should investigate individuals who are not on medication. This study provides preliminary evidence for personalised management of recurrent depression.

Trial Registration:

ISRCTN26666654.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Baseline characteristics of participants by allocation group

Figure 1

Fig. 1 Latent profiles and individual trajectories. (a) Latent profiles graphical representation. Profile 1: latent profile 1 (i.e. less severe history of depression). Profile 2: latent profile 2 (i.e. more severe history of depression). Total sample N = 424. Because of the different scaling of the continuous and dichotomous items included in the latent profile analysis, all mean scores and proportions for each predictor were standardised, and z-scores were used to present the distribution between mean scores and proportions for each profile. We used a range of potential predictor variables to define latent profiles demarcated by a different depression severity. These variables fall into three categories: (1) symptoms intensity and clinical history (clinician-rated residual symptoms of depression (Hamilton Depression Rating Scale (HAMD)), childhood abuse (Measure of Parenting Scale (MOPS)), age of first depression onset, number of previous episodes of depression, severity of the last episode (Structured Clinical Interview for DSM-IV (SCID)), chronicity of the last episode, previous suicide attempt, number of comorbid DSM-IV axis I psychiatric diagnoses (SCID)); (2) cognitive and emotional factors (rumination (negative and un-resolution rumination from the Cambridge-Exeter Repetitive Thought Scale (CERTS)), self-blame and lack of acceptance (from the Cognitive Emotion Regulation Questionnaire (CERQ)), ability to recognise early warning signs of depression (bespoke single item), acting with awareness (from the Five Facet Mindfulness Questionnaire (FFMQ)), self-efficacy (General Self-Efficacy Scale (GSE)), positive affect (contentment and joy from the Dispositional Positive Emotion Scale (DPES))); (3) relational and social variables (relationship satisfaction (bespoke 7-item questionnaire), stigmatisation (bespoke 7-item questionnaire)). These variables were measured at baseline (T0) and were selected based on theoretical and empirical research.20 (b) Individual trajectories and estimated means of depressive symptoms over time. The coloured lines represent the observed individual trajectories, with this representation including a subset of n = 250 randomly selected participants. The thick black line represents the mean estimated by the quadratic latent curve growth model for the total group (N = 424). BDI-II is the Beck Depression Inventory-II (range: 0–63). Participants were assessed on the BDI-II at baseline (0 months), and then post-treatment (3 months, i.e. one month after the end of the mindfulness-based cognitive therapy with support to taper or discontinue antidepressant medication (ADM) training, or the equivalent time in the maintenance ADM arm). Follow-up measures include 9, 12, 18 and 24 months after randomisation.

Figure 2

Table 2 Moderated-mediation of mindfulness skills

Figure 3

Fig. 2 Latent profiles moderating the mediation of change in mindfulness skills on depressive symptoms. MBCT, mindfulness-based cognitive therapy with support to taper or discontinue antidepressant medication; m-ADM, maintenance antidepressant medication; LPs, latent profiles; LP1, latent profile 1 (less severe history of depression); LP2, latent profile 2 (more severe history of depression). ΔFFMQ, baseline to one month after the end of the MBCT training (T0–T1) change in mindfulness skills. β1 (BDI-II), linear slope of depressive symptoms (i.e. rate of change in depressive symptoms, as measured by the Beck Depression Inventory-II) over time from baseline to two-years follow-up (T0–T5). a1, allocation group → ΔFFMQ path for LP1. a2, allocation group → ΔFFMQ path for LP2. b, ΔFFMQ → β1 (BDI-II) path (this is shared across LPs, as there were no moderating effects in this path). IE1, indirect effect for LP1. IE2, indirect effect for LP2. 95% CI, bootstrapped 95% confidence interval for the indirect effect. c’, direct effect of allocation group on β1 (BDI-II) after adjustment for the mediating effects (this is shared across LPs, as there were no moderating effects in this path). c, total effects. Coefficients are not standardised and therefore are shown in the original units of the variables used in the moderated-mediation model. The colour transition of indirect effects represents a potential large shift from a mild-to-moderate baseline level of depressive symptoms (BDI-II mean = 19.37) to a minimal level of depressive symptoms at the 24-month follow-up (BDI-II mean = 9.29) for LP2. For LP1, it indicates a small-to-moderate effect in the minimal range of depressive symptoms between baseline (BDI-II mean = 10.71) and 24-months follow-up (BDI-II mean = 7.11).30 * P < 0.05; ** P < 0.01; *** P < 0.001. Image created with support of Delphine Perrot.

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