La Trobe

Fear of psychotic relapse: exploring dynamic relationships with common early warning signs of relapse using electronic once-a-day self-reports

Download (887.22 kB)
journal contribution
posted on 2024-07-23, 02:34 authored by S Allan, C O’Driscoll, HJ McLeod, J Gleeson, John FarhallJohn Farhall, E Morton, I Bell, S Bradstreet, M Machin, A Gumley
Background: Fear of relapse into psychosis is an independent risk factor for future relapse events, indicating its importance as a novel intervention target. Methods: Twenty-five participants responded to daily ecological momentary assessment prompts assessing common early warning signs of relapse and self-reported positive experiences like feeling supported by others. We conducted multilevel vector auto-regression using common symptoms assessed in early warning signs monitoring relapse prevention while controlling for positive self-reported experiences like feeling supported by others to estimate three networks (to explore concurrent, temporal and overall relationships). Results: Reporting fear of relapse was positively associated (within the same cross-sectional time window) with hearing voices, alongside anxiety, negative affect and sleep change. Fear of relapse appeared to predict anxiety, negative affect and greater fear of relapse on the next consecutive day. However, none of the typical early warning signs predicted fear of relapse within the temporal window, and the observed relationships were small. Discussion: Early warning signs appeared to be poor predictors of experiencing fear of relapse in this study. Fear of relapse predicts later anxiety and negative affect and may be a valuable intervention target within the daily life of people diagnosed with schizophrenia.

Funding

The work was supported by the Health Technology Assessment Programme [13/154/04]; National Health and Medical Research Council [APP1095879].

History

Publication Date

2024-06-01

Journal

Psychosis

Volume

16

Issue

2

Pagination

167-181

Publisher

Taylor & Francis

ISSN

1752-2439

Rights Statement

© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Usage metrics

    Journal Articles

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC