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Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals

INTRODUCTION: Transitions in mental health, such as the onset or sudden progression of psychopathology, are difficult to foresee. If mental health behaves like other complex systems, drops in mental health may be anticipated by early warning signals (EWS), which manifest in the dynamics of time seri...

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Autores principales: Schreuder, M., Wigman, J., Smit, A., Hartman, C., Wichers, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475781/
http://dx.doi.org/10.1192/j.eurpsy.2021.1215
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author Schreuder, M.
Wigman, J.
Smit, A.
Hartman, C.
Wichers, M.
author_facet Schreuder, M.
Wigman, J.
Smit, A.
Hartman, C.
Wichers, M.
author_sort Schreuder, M.
collection PubMed
description INTRODUCTION: Transitions in mental health, such as the onset or sudden progression of psychopathology, are difficult to foresee. If mental health behaves like other complex systems, drops in mental health may be anticipated by early warning signals (EWS), which manifest in the dynamics of time series data. OBJECTIVES: This study aimed to establish the sensitivity and specificity of EWS as personalized risk markers for sudden drops mental health. METHODS: Individuals (N=122, mean age 23.6 ±0.7 years, 57% males) at increased risk for psychopathology completed daily questionnaires on mental states for six consecutive months. Transitions in mental health were identified by change point analyses. EWS, operationalized as rising trends in the autoregressive coefficient of 36 negative mental states, were identified using generalized additive models. RESULTS: EWS were found for 59% of individuals with a drop in mental health, and for 47% without such a drop (sensitivity: 0-.12; specificity: .88-1). There were considerable individual differences in the prevalence, strength, and timing of EWS. CONCLUSIONS: EWS might be informative of impeding transitions, yet they are also highly conservative. Present findings may inspire future research into the prerequisites for detecting EWS in the context of mental health, for instance with respect to the stability of pre- and post-transition phases, the magnitude of transitions, and the timescale at which EWS manifest. An improved understanding of the dynamics that govern psychopathology could ultimately allow us to determine whether a specific individual at a specific moment in time is at risk for a sudden onset or progression of mental health problems.
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spelling pubmed-94757812022-09-29 Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals Schreuder, M. Wigman, J. Smit, A. Hartman, C. Wichers, M. Eur Psychiatry Abstract INTRODUCTION: Transitions in mental health, such as the onset or sudden progression of psychopathology, are difficult to foresee. If mental health behaves like other complex systems, drops in mental health may be anticipated by early warning signals (EWS), which manifest in the dynamics of time series data. OBJECTIVES: This study aimed to establish the sensitivity and specificity of EWS as personalized risk markers for sudden drops mental health. METHODS: Individuals (N=122, mean age 23.6 ±0.7 years, 57% males) at increased risk for psychopathology completed daily questionnaires on mental states for six consecutive months. Transitions in mental health were identified by change point analyses. EWS, operationalized as rising trends in the autoregressive coefficient of 36 negative mental states, were identified using generalized additive models. RESULTS: EWS were found for 59% of individuals with a drop in mental health, and for 47% without such a drop (sensitivity: 0-.12; specificity: .88-1). There were considerable individual differences in the prevalence, strength, and timing of EWS. CONCLUSIONS: EWS might be informative of impeding transitions, yet they are also highly conservative. Present findings may inspire future research into the prerequisites for detecting EWS in the context of mental health, for instance with respect to the stability of pre- and post-transition phases, the magnitude of transitions, and the timescale at which EWS manifest. An improved understanding of the dynamics that govern psychopathology could ultimately allow us to determine whether a specific individual at a specific moment in time is at risk for a sudden onset or progression of mental health problems. Cambridge University Press 2021-08-13 /pmc/articles/PMC9475781/ http://dx.doi.org/10.1192/j.eurpsy.2021.1215 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 in any medium, provided the original work is properly cited.
spellingShingle Abstract
Schreuder, M.
Wigman, J.
Smit, A.
Hartman, C.
Wichers, M.
Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals
title Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals
title_full Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals
title_fullStr Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals
title_full_unstemmed Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals
title_short Anticipating transitions in mental health in at-risk youth: A large-scale diary study into early warning signals
title_sort anticipating transitions in mental health in at-risk youth: a large-scale diary study into early warning signals
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475781/
http://dx.doi.org/10.1192/j.eurpsy.2021.1215
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