Anna Kuranova1, Johanna T W Wigman1,2, Claudia Menne-Lothmann3, Jeroen Decoster4, Ruud van Winkel5,6, Philippe Delespaul3,7, Marjan Drukker3, Marc de Hert5,6,8, Catherine Derom9,10, Evert Thiery11, Bart P F Rutten3, Nele Jacobs3,12, Jim van Os3,13,14, Albertine J Oldehinkel1, Sanne H Booij1,2,15, Marieke Wichers1. 1. University Medical Center Groningen, University Center Psychiatry (UCP) Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, Groningen, The Netherlands. 2. Department of Research and Education, Friesland Mental Health Care Services, Leeuwarden, The Netherlands. 3. Department of Psychiatry and Neuropsychology, School of mental health and neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands. 4. University Psychiatric Centre Sint-Kamillus, Bierbeek, Belgium. 5. Department of Neurosciences, Center for Public Health Psychiatry, KU Leuven, Leuven, Belgium. 6. Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium. 7. Mondriaan Mental Health Care, Heerlen, The Netherlands. 8. Antwerp Health Law and Ethics Chair-AHLEC University Antwerpen, Antwerpen, Belgium. 9. Centre of Human Genetics, University Hospital Leuven, KU Leuven, Leuven, Belgium. 10. Department of Obstetrics and Gynecology, Ghent University Hospital, Ghent University, Ghent, Belgium. 11. Department of Neurology, Ghent University Hospital, Ghent University, Ghent, Belgium. 12. Faculty of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, The Netherlands. 13. Department of Psychosis Studies, Institute of Psychiatry, King's Health Partners, King's College London, London, United Kingdom. 14. Department Psychiatry, Brain Center Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands. 15. Center for Integrative Psychiatry, Lentis, Groningen, The Netherlands.
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.
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.
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