Bipolar disorder is characterized by manic and depressive episodes and can be a lifetime condition. Bipolar disorder has been found to be associated with various types of disabilities, including low employment rate and high dependence on public aid. The purpose of this study is to identify factors related to being employed for persons with bipolar disorder. Nine thousand eight hundred and eighty-six subjects with bipolar disorder were collected between July of 2012 and November of 2013 and retrieved from Taiwan national disability database on May of 2014. The mean age of the sample is 45.41 (SD = 10.5), with 64% as female. Logistic regression was used to examine the log odds of the predictive variables on outcome of employment. A Receiver Operating Characteristics analysis was applied to locate the cutoff score of World Health Organization Disability Assessment Schedule 2.0 for being employed. All demographic variables were found to be significantly correlated with employment status among subjects. The Receiver Operating Characteristics results revealed that those subjects whose scores were below 33.57 had about a four-fold higher probability of being in employment than those whose scores were above 33.57. The result provides insights into future research effort and intervention design aimed at helping persons with bipolar disorder to obtain gainful employment.
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http://dx.doi.org/10.3390/ijerph19063512 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI 53706.
Given the influence of cognitive abilities on life outcomes, there is inherent value in identifying genes involved in controlling learning and memory. Further, cognitive dysfunction is a core feature of many neuropsychiatric disorders. Here, we use a combinatory in silico approach to identify human gene targets that will have an especially high likelihood of individually and directly impacting cognition.
View Article and Find Full Text PDFFront Psychiatry
January 2025
Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany.
Background: The basolateral complex of the amygdala is a crucial neurobiological site for Pavlovian conditioning. Investigations into volumetric alterations of the basolateral amygdala in individuals with major depressive disorder (MDD) have yielded conflicting results. These may be reconciled in an inverted U-shape allostatic growth trajectory.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
Medical Faculty Department of Psychiatry, Sakarya University, Sakarya, Türkiye.
Background: Klotho and neurotrophic factors, including brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF), and glial cell line-derived neurotrophic factor (GDNF), have been shown to play a role in cognitive functions. However, these molecules have not been investigated in bipolar disorder simultaneously to assess the interactions among them and their relationships with cognitive functions. This study investigated the relationships among cognitive function, klotho, and neurotrophic factors in patients with bipolar disorder in the remission period.
View Article and Find Full Text PDFNeurotox Res
January 2025
Translational Psychiatry Laboratory, Graduate Program in Health Sciences, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.
Given ketamine's conflicting impacts on the central nervous system, investigating its effects within an inflammatory context becomes crucial. This study aimed to assess the impact of varying ketamine doses on neurotrophin and inflammatory cytokine levels within the brains of rats submitted to the sepsis model. Wistar rats were submitted to the cecal ligation and puncture (CLP) model of sepsis.
View Article and Find Full Text PDFNat Neurosci
January 2025
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Psychiatric disorders are multifactorial and effective treatments are lacking. Probable contributing factors to the challenges in therapeutic development include the complexity of the human brain and the high polygenicity of psychiatric disorders. Combining well-powered genome-wide and brain-wide genetics and transcriptomics analyses can deepen our understanding of the etiology of psychiatric disorders.
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