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Biological rhythms are independently associated with quality of life in bipolar disorder

Overview of attention for article published in International Journal of Bipolar Disorders, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

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17 X users
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3 Facebook pages

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84 Mendeley
Title
Biological rhythms are independently associated with quality of life in bipolar disorder
Published in
International Journal of Bipolar Disorders, March 2016
DOI 10.1186/s40345-016-0050-8
Pubmed ID
Authors

Lauren E. Cudney, Benicio N. Frey, David L. Streiner, Luciano Minuzzi, Roberto B. Sassi

Abstract

Evidence suggests that patients with bipolar disorder (BD) experience biological rhythm disturbances; however, no studies have examined the impact of this disruption on quality of life (QOL). The aim of this study is to investigate the influence of biological rhythm, depressive symptoms, sleep quality, and sleep medication use on QOL in BD. Eighty BD subjects (44 depressed and 36 euthymic) completed questionnaires assessing QOL (WHOQOL-BREF), biological rhythm disruption (BRIAN), depressive symptoms (MADRS), and sleep quality (PSQI). The impact of biological rhythm disturbance, depressive symptoms severity, sleep quality, and sleep medication use on QOL was determined with multiple regression analyses. BRIAN (β = -0.31, t = -2.73, p < 0.01), MADRS (β = -0.30, t = -2.93, p < 0.01), and sleep medication use (β = -0.45, t = -2.55, p < 0.05) were significant predictors of QOL in this model (F 4, 75 = 20.28; p < 0.0001). The relationship of these factors with subdomains of QOL showed that poorer social QOL was associated with greater biological rhythm disturbance (β = -0.43, t = -3.66, p < 0.01) and sleep medication use (β = -0.49, t = -2.35, p < 0.01), providing support for the social rhythm theory of BD. Physical QOL was associated with depression (β = -0.30, t = -2.93, p < 0.01) and biological rhythm disruption (β = -0.31, t = -2.73, p < 0.01). Main limitations include the cross-sectional assessment and the lack of objective measures of biological rhythms in relation to QOL. Disruption in biological rhythm is associated with poor QOL in BD, independent of sleep disturbance, sleep medication use, and severity of depression. Treatment strategies targeting regulation of biological rhythms, such as sleep/wake cycles, eating patterns, activities, and social rhythms, are likely to improve QOL in this population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 14 17%
Student > Bachelor 13 15%
Student > Master 11 13%
Student > Ph. D. Student 8 10%
Researcher 7 8%
Other 14 17%
Unknown 17 20%
Readers by discipline Count As %
Medicine and Dentistry 29 35%
Psychology 13 15%
Neuroscience 6 7%
Nursing and Health Professions 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 7 8%
Unknown 21 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 October 2016.
All research outputs
#3,267,355
of 25,374,647 outputs
Outputs from International Journal of Bipolar Disorders
#87
of 323 outputs
Outputs of similar age
#49,975
of 314,940 outputs
Outputs of similar age from International Journal of Bipolar Disorders
#5
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,940 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.