Literature DB >> 30784724

Network dynamics of positive and negative affect in bipolar disorder.

Joshua Curtiss1, Daniel Fulford2, Stefan G Hofmann1, Anda Gershon3.   

Abstract

BACKGROUND: The network approach to psychopathology has become increasingly popular. Little research has examined the dynamic network structure of mental disorders, and, to date, no study has investigated the network dynamics of positive affect, negative affect, and physical activity in bipolar disorder. This represents the first study to estimate the dynamic network structure of affect and physical activity in individuals with and without bipolar I disorder.
METHODS: An intensive longitudinal design was used to assess positive affect, negative affect, and actigraphy-based estimates of physical activity. The overall sample consisted of 32 adults with bipolar I disorder and 36 healthy control participants. Eligible participants underwent an 8-week assessment period, in which once-per-day ratings of affect and actigraphy estimates were obtained. Participants were re-assessed on baseline measures afterwards. Dynamic network analysis was used to examine the network structure of affect and physical activity over time. Multilevel models were used to examine the relationship between autocorrelation and changes in depression symptoms among participants with bipolar disorder. LIMITATIONS: The network analyses assume stationarity. Future research should consider time-varying multilevel network models to better account for time trends.
RESULTS: The results of the temporal networks indicated that the directed edges between positive and negative affect were mostly positive among individuals with bipolar I disorder. Among healthy control participants, the directed edges between positive and negative affect were mostly negative in direction. Physical activity, as assessed by daily actigraphy indices, was more densely connected in the healthy control network than the bipolar disorder network. Furthermore, the results indicated that critical slowing down predicted worsening of mood symptoms in the bipolar I disorder group.
CONCLUSIONS: This study suggests that certain dynamic patterns of affect may be an underlying process that contributes to the maintenance of bipolar disorder. These results have both theoretical and practical implications.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Actigraphy; Bipolar disorder; Network analysis; Time series

Mesh:

Year:  2019        PMID: 30784724     DOI: 10.1016/j.jad.2019.02.017

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  9 in total

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Authors:  Fionneke M Bos; Marieke J Schreuder; Sandip V George; Bennard Doornbos; Richard Bruggeman; Lian van der Krieke; Bartholomeus C M Haarman; Marieke Wichers; Evelien Snippe
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Authors:  Marieke J Schreuder; Catharina A Hartman; Sandip V George; Claudia Menne-Lothmann; Jeroen Decoster; Ruud van Winkel; Philippe Delespaul; Marc De Hert; Catherine Derom; Evert Thiery; Bart P F Rutten; Nele Jacobs; Jim van Os; Johanna T W Wigman; Marieke Wichers
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  9 in total

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