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Network dynamics of momentary affect states and future course of psychopathology in adolescents
- Source :
- Kuranova, A, Wigman, JTW, Menne-Lothmann, C, Decoster, J, van Winkel, R, Delespaul, P, Drukker, M, de Hert, M, Derom, C, Thiery, E, Rutten, BPF, Jacobs, N, van Os, J, Oldehinkel, AJ, Booij, SH & Wichers, M 2021, ' Network dynamics of momentary affect states and future course of psychopathology in adolescents ', PLOS ONE, vol. 16, no. 3, e0247458 . https://doi.org/10.1371/journal.pone.0247458, PLoS ONE, PLOS ONE, PLOS ONE, 16(3):e0247458. Public Library of Science, PLoS ONE, 16(3):e0247458, 1-18. PUBLIC LIBRARY SCIENCE, PLoS ONE, Vol 16, Iss 3, p e0247458 (2021)
- Publication Year :
- 2021
-
Abstract
- 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.
- Subjects :
- Male
050103 clinical psychology
STRESS
Epidemiology
Twins
Adolescents
Families
0302 clinical medicine
Medicine and Health Sciences
Centrality
Longitudinal Studies
Prospective Studies
Stable group
Children
Multidisciplinary
Psychopathology
Mental Disorders
05 social sciences
ASSOCIATION
DEPRESSION
Physical Sciences
Cohort
Medicine
Engineering and Technology
Female
Psychology
Engineering sciences. Technology
Network Analysis
Research Article
Clinical psychology
Quality Control
Computer and Information Sciences
Experience sampling method
INTERPLAY
Adolescent
Permutation
Science
Visual Inspection
Affect (psychology)
CHILDHOOD-TRAUMA
Network Resilience
EVENTS
03 medical and health sciences
PSYCHOSIS
Industrial Engineering
Humans
0501 psychology and cognitive sciences
Discrete Mathematics
Biology and Life Sciences
Network dynamics
SLEEP
Twin study
Increased risk
DAILY-LIFE
Combinatorics
Age Groups
Medical Risk Factors
People and Places
Population Groupings
Human medicine
Mathematics
030217 neurology & neurosurgery
Developmental Biology
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Database :
- OpenAIRE
- Journal :
- Kuranova, A, Wigman, JTW, Menne-Lothmann, C, Decoster, J, van Winkel, R, Delespaul, P, Drukker, M, de Hert, M, Derom, C, Thiery, E, Rutten, BPF, Jacobs, N, van Os, J, Oldehinkel, AJ, Booij, SH & Wichers, M 2021, ' Network dynamics of momentary affect states and future course of psychopathology in adolescents ', PLOS ONE, vol. 16, no. 3, e0247458 . https://doi.org/10.1371/journal.pone.0247458, PLoS ONE, PLOS ONE, PLOS ONE, 16(3):e0247458. Public Library of Science, PLoS ONE, 16(3):e0247458, 1-18. PUBLIC LIBRARY SCIENCE, PLoS ONE, Vol 16, Iss 3, p e0247458 (2021)
- Accession number :
- edsair.doi.dedup.....e2a1ad341804c35fd80ce0720857463c