The association between mood state and chronobiological characteristics in bipolar I disorder: a naturalistic, variable cluster analysis-based study

International Journal of Bipolar Disorders

Alok Dwivedi¹  Andres Alvarado¹  Angelica Forero²  Robert Gonzalez²  Mauricio Tohen³  Colleen McClung⁴  Carol Tamminga⁵  Trisha Suppes⁶  Jamie Zeitzer⁶ 

[1] Department of Biomedical Sciences, Texas Tech University Health Sciences Center El Paso;Department of Psychiatry, Texas Tech University Health Sciences Center El Paso;Department of Psychiatry, University of New Mexico Medical School;Department of Psychiatry, University of Pittsburgh Medical Center;Department of Psychiatry, University of Texas, Southwestern Medical School;VA Palo Alto Health Care System, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine;

关键词: Bipolar disorder;    Actigraphy;    Rhythm;    Sleep;    Activity;    Cluster analysis;   

DOI  :  10.1186/s40345-017-0113-5

来源: DOAJ

【 摘 要 】

Abstract Background Multiple types of chronobiological disturbances have been reported in bipolar disorder, including characteristics associated with general activity levels, sleep, and rhythmicity. Previous studies have focused on examining the individual relationships between affective state and chronobiological characteristics. The aim of this study was to conduct a variable cluster analysis in order to ascertain how mood states are associated with chronobiological traits in bipolar I disorder (BDI). We hypothesized that manic symptomatology would be associated with disturbances of rhythm. Results Variable cluster analysis identified five chronobiological clusters in 105 BDI subjects. Cluster 1, comprising subjective sleep quality was associated with both mania and depression. Cluster 2, which comprised variables describing the degree of rhythmicity, was associated with mania. Significant associations between mood state and cluster analysis-identified chronobiological variables were noted. Disturbances of mood were associated with subjectively assessed sleep disturbances as opposed to objectively determined, actigraphy-based sleep variables. No associations with general activity variables were noted. Relationships between gender and medication classes in use and cluster analysis-identified chronobiological characteristics were noted. Exploratory analyses noted that medication class had a larger impact on these relationships than the number of psychiatric medications in use. Conclusions In a BDI sample, variable cluster analysis was able to group related chronobiological variables. The results support our primary hypothesis that mood state, particularly mania, is associated with chronobiological disturbances. Further research is required in order to define these relationships and to determine the directionality of the associations between mood state and chronobiological characteristics.

【 授权许可】

Unknown