ArticlePloS one2021
Network dynamics of momentary affect states and future course of psychopathology in adolescents.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Complex affect dynamics offer limited incremental value for cross-sectional prediction of psychological and behavioural variables in cross-validated models.BMC medicine · 2026Article
- Mood dynamics in adolescents and young adults with and without a history of suicidal thoughts and actions: a network approach.BMC psychiatry · 2026Article
- Developmental changes in youth affect: A within-person approach.Emotion (Washington, D.C.) · 2026Article
- Young people's compliance with the Experience Sampling Method (ESM): Examining patterns, predictors and associations with well-being and mental health.Internet interventions · 2025Article
- Schizotypal Traits, Psychopathology, and Reflective Functioning Impairments During Adolescence: A Bayesian Network Approach.Schizophrenia bulletin · 2025Article
- Review
- Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study.BMC psychiatry · 2022Article
- Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health.BMC medicine · 2020Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent theories argue that an interplay between (i.e., network of) experiences, thoughts and affect in daily life may underlie the development of psychopathology.
objectiveTo 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.
methods159 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.
resultsThe 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.
conclusionAlthough 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.
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