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Network dynamics of momentary affect states and future course of psychopathology in adolescents
BACKGROUND: Recent theories argue that an interplay between (i.e., network of) experiences, thoughts and affect in daily life may underlie the development of psychopathology. OBJECTIVE: To prospectively examine whether network dynamics of everyday affect states are associated with a future course of...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932519/ https://www.ncbi.nlm.nih.gov/pubmed/33661971 http://dx.doi.org/10.1371/journal.pone.0247458 |
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author | Kuranova, Anna Wigman, Johanna T. W. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe Drukker, Marjan de Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Oldehinkel, Albertine J. Booij, Sanne H. Wichers, Marieke |
author_facet | Kuranova, Anna Wigman, Johanna T. W. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe Drukker, Marjan de Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Oldehinkel, Albertine J. Booij, Sanne H. Wichers, Marieke |
author_sort | Kuranova, Anna |
collection | PubMed |
description | BACKGROUND: Recent theories argue that an interplay between (i.e., network of) experiences, thoughts and affect in daily life may underlie the development of psychopathology. OBJECTIVE: To prospectively examine whether network dynamics of everyday affect states are associated with a future course of psychopathology in adolescents at an increased risk of mental disorders. METHODS: 159 adolescents from the East-Flanders Prospective Twin Study cohort participated in the study. At baseline, their momentary affect states were assessed using the Experience Sampling Method (ESM). The course of psychopathology was operationalized as the change in the Symptom Checklist-90 sum score after 1 year. Two groups were defined: one with a stable level (n = 81) and one with an increasing level (n = 78) of SCL-symptom severity. Group-level network dynamics of momentary positive and negative affect states were compared between groups. RESULTS: The group with increasing symptoms showed a stronger connections between negative affect states and their higher influence on positive states, as well as higher proneness to form ‘vicious cycles’, compared to the stable group. Based on permutation tests, these differences were not statistically significant. CONCLUSION: Although not statistically significant, some qualitative differences were observed between the networks of the two groups. More studies are needed to determine the value of momentary affect networks for predicting the course of psychopathology. |
format | Online Article Text |
id | pubmed-7932519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79325192021-03-15 Network dynamics of momentary affect states and future course of psychopathology in adolescents Kuranova, Anna Wigman, Johanna T. W. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe Drukker, Marjan de Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Oldehinkel, Albertine J. Booij, Sanne H. Wichers, Marieke PLoS One Research Article BACKGROUND: Recent theories argue that an interplay between (i.e., network of) experiences, thoughts and affect in daily life may underlie the development of psychopathology. OBJECTIVE: To prospectively examine whether network dynamics of everyday affect states are associated with a future course of psychopathology in adolescents at an increased risk of mental disorders. METHODS: 159 adolescents from the East-Flanders Prospective Twin Study cohort participated in the study. At baseline, their momentary affect states were assessed using the Experience Sampling Method (ESM). The course of psychopathology was operationalized as the change in the Symptom Checklist-90 sum score after 1 year. Two groups were defined: one with a stable level (n = 81) and one with an increasing level (n = 78) of SCL-symptom severity. Group-level network dynamics of momentary positive and negative affect states were compared between groups. RESULTS: The group with increasing symptoms showed a stronger connections between negative affect states and their higher influence on positive states, as well as higher proneness to form ‘vicious cycles’, compared to the stable group. Based on permutation tests, these differences were not statistically significant. CONCLUSION: Although not statistically significant, some qualitative differences were observed between the networks of the two groups. More studies are needed to determine the value of momentary affect networks for predicting the course of psychopathology. Public Library of Science 2021-03-04 /pmc/articles/PMC7932519/ /pubmed/33661971 http://dx.doi.org/10.1371/journal.pone.0247458 Text en © 2021 Kuranova et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article Kuranova, Anna Wigman, Johanna T. W. Menne-Lothmann, Claudia Decoster, Jeroen van Winkel, Ruud Delespaul, Philippe Drukker, Marjan de Hert, Marc Derom, Catherine Thiery, Evert Rutten, Bart P. F. Jacobs, Nele van Os, Jim Oldehinkel, Albertine J. Booij, Sanne H. Wichers, Marieke Network dynamics of momentary affect states and future course of psychopathology in adolescents |
title | Network dynamics of momentary affect states and future course of psychopathology in adolescents |
title_full | Network dynamics of momentary affect states and future course of psychopathology in adolescents |
title_fullStr | Network dynamics of momentary affect states and future course of psychopathology in adolescents |
title_full_unstemmed | Network dynamics of momentary affect states and future course of psychopathology in adolescents |
title_short | Network dynamics of momentary affect states and future course of psychopathology in adolescents |
title_sort | network dynamics of momentary affect states and future course of psychopathology in adolescents |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932519/ https://www.ncbi.nlm.nih.gov/pubmed/33661971 http://dx.doi.org/10.1371/journal.pone.0247458 |
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