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Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health
INTRODUCTION: There is growing evidence that mental disorders behave like complex dynamic systems. Complex dynamic systems theory states that a slower recovery from small perturbations indicates a loss of resilience of a system. This study is the first to test whether the speed of recovery of affect...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027206/ https://www.ncbi.nlm.nih.gov/pubmed/32066437 http://dx.doi.org/10.1186/s12916-020-1500-9 |
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author | Kuranova, Anna Booij, Sanne H. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe De Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Wigman, Johanna T. W. Wichers, Marieke |
author_facet | Kuranova, Anna Booij, Sanne H. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe De Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Wigman, Johanna T. W. Wichers, Marieke |
author_sort | Kuranova, Anna |
collection | PubMed |
description | INTRODUCTION: There is growing evidence that mental disorders behave like complex dynamic systems. Complex dynamic systems theory states that a slower recovery from small perturbations indicates a loss of resilience of a system. This study is the first to test whether the speed of recovery of affect states from small daily life perturbations predicts changes in psychopathological symptoms over 1 year in a group of adolescents at increased risk for mental disorders. METHODS: We used data from 157 adolescents from the TWINSSCAN study. Course of psychopathology was operationalized as the 1-year change in the Symptom Checklist-90 sum score. Two groups were defined: one with stable and one with increasing symptom levels. Time-series data on momentary daily affect and daily unpleasant events were collected 10 times a day for 6 days at baseline. We modeled the time-lagged effect of daily unpleasant events on negative and positive affect after each unpleasant event experienced, to examine at which time point the impact of the events is no longer detectable. RESULTS: There was a significant difference between groups in the effect of unpleasant events on negative affect 90 min after the events were reported. Stratified by group, in the Increase group, the effect of unpleasant events on both negative (B = 0.05, p < 0.01) and positive affect (B = − 0. 08, p < 0.01) was still detectable 90 min after the events, whereas in the Stable group this was not the case. CONCLUSION: Findings cautiously suggest that adolescents who develop more symptoms in the following year may display a slower affect recovery from daily perturbations at baseline. This supports the notion that mental health may behave according to the laws of a complex dynamic system. Future research needs to examine whether these dynamic indicators of system resilience may prove valuable for personalized risk assessment in this field. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-020-1500-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7027206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70272062020-02-24 Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health Kuranova, Anna Booij, Sanne H. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe De Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Wigman, Johanna T. W. Wichers, Marieke BMC Med Research Article INTRODUCTION: There is growing evidence that mental disorders behave like complex dynamic systems. Complex dynamic systems theory states that a slower recovery from small perturbations indicates a loss of resilience of a system. This study is the first to test whether the speed of recovery of affect states from small daily life perturbations predicts changes in psychopathological symptoms over 1 year in a group of adolescents at increased risk for mental disorders. METHODS: We used data from 157 adolescents from the TWINSSCAN study. Course of psychopathology was operationalized as the 1-year change in the Symptom Checklist-90 sum score. Two groups were defined: one with stable and one with increasing symptom levels. Time-series data on momentary daily affect and daily unpleasant events were collected 10 times a day for 6 days at baseline. We modeled the time-lagged effect of daily unpleasant events on negative and positive affect after each unpleasant event experienced, to examine at which time point the impact of the events is no longer detectable. RESULTS: There was a significant difference between groups in the effect of unpleasant events on negative affect 90 min after the events were reported. Stratified by group, in the Increase group, the effect of unpleasant events on both negative (B = 0.05, p < 0.01) and positive affect (B = − 0. 08, p < 0.01) was still detectable 90 min after the events, whereas in the Stable group this was not the case. CONCLUSION: Findings cautiously suggest that adolescents who develop more symptoms in the following year may display a slower affect recovery from daily perturbations at baseline. This supports the notion that mental health may behave according to the laws of a complex dynamic system. Future research needs to examine whether these dynamic indicators of system resilience may prove valuable for personalized risk assessment in this field. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-020-1500-9) contains supplementary material, which is available to authorized users. BioMed Central 2020-02-18 /pmc/articles/PMC7027206/ /pubmed/32066437 http://dx.doi.org/10.1186/s12916-020-1500-9 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kuranova, Anna Booij, Sanne H. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe De Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Wigman, Johanna T. W. Wichers, Marieke Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health |
title | Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health |
title_full | Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health |
title_fullStr | Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health |
title_full_unstemmed | Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health |
title_short | Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health |
title_sort | measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027206/ https://www.ncbi.nlm.nih.gov/pubmed/32066437 http://dx.doi.org/10.1186/s12916-020-1500-9 |
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