Network dynamics of positive and negative affect in bipolar disorder
Network dynamics of positive and negative affect in bipolar disorder
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DOI：
10.1016/j.jad.2019.02.017
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发表时间：
2019-04-15
影响因子：
6.6
通讯作者：
Gershon, Anda
中科院分区：
文献类型：
--
作者：
Curtiss, Joshua;Fulford, Daniel;Gershon, Anda
背景：精神病理学的网络方法越来越受欢迎。很少有研究探讨了精神障碍的动态网络结构，迄今为止，没有研究探讨了双相情感障碍的积极情感，消极情感和身体活动的网络动力学。这是第一个研究，以估计动态网络结构的影响和身体活动的个人和没有双相I disorder.Methods：一个密集的纵向设计被用来评估积极的影响，消极的影响，和基于actigraphy估计身体活动。总体样本包括32名患有双相I型障碍的成年人和36名健康对照参与者。符合条件的参与者进行了为期8周的评估，其中每天一次的影响和体动仪估计的评级。之后对参与者进行了基线测量重新评估。动态网络分析被用来检查网络结构的影响和身体活动随着时间的推移。多水平模型被用来研究双相情感障碍参与者中抑郁症状的自相关性和变化之间的关系。局限性：网络分析假设平稳性。未来的研究应考虑随时间变化的多层次网络模型，以更好地考虑时间trends.Results：时间网络的结果表明，积极和消极的影响之间的定向边缘大多是积极的双相I型障碍的个人。在健康对照组中，积极和消极情感之间的定向边缘大多是负向的。身体活动，每日活动指数评估，更紧密地连接在健康对照网络比双相情感障碍网络。此外，结果表明，关键放缓预测恶化的情绪症状在双相I型障碍group.Conclusions：本研究表明，某些动态模式的影响可能是一个潜在的过程，有助于维持双相情感障碍。这些结果具有理论和实际意义。
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-perday 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.