| Title |
The association between mood state and chronobiological characteristics in bipolar I disorder: a naturalistic, variable cluster analysis-based study
|
|---|---|
| Published in |
International Journal of Bipolar Disorders, February 2018
|
| DOI | 10.1186/s40345-017-0113-5 |
| Pubmed ID | |
| Authors |
Robert Gonzalez, Trisha Suppes, Jamie Zeitzer, Colleen McClung, Carol Tamminga, Mauricio Tohen, Angelica Forero, Alok Dwivedi, Andres Alvarado |
| Abstract |
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. 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. 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 22% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Professor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 28% |
| Psychology | 8 | 22% |
| Neuroscience | 3 | 8% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2022.
All research outputs
#2,041,478
of 22,785,242 outputs
Outputs from International Journal of Bipolar Disorders
#48
of 283 outputs
Outputs of similar age
#46,832
of 330,130 outputs
Outputs of similar age from International Journal of Bipolar Disorders
#2
of 8 outputs
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So far Altmetric has tracked 283 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 83% of its peers.
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