Predominant polarity in bipolar affective disorder and its impact on cognition and quality of life
Bibliographic record
Abstract
Background: Bipolar mood disorder or bipolar affective disorder (BPAD) is a chronic illness characterized by phases of mania/hypomania, depression, or mixed episodes. The course of bipolar mood disorder is relapsing in nature. It is associated with high comorbidity rates, a large number of premature deaths due to suicide, and a worse social and work performance. All of those characteristics entail a significant economic impact due to both direct and indirect costs and require an effective diagnostic and therapeutic approach. Lifetime prevalence of BPAD is approximately 4% worldwide. Various attempts have been made to define "predominance" of polarity in BPAD. Need for this Study: Our study tries to highlight the existence of predominant polarity by comparing effects of the same on substance consumption, cognitive abilities, quality of life, and preponderance of specific polarity to specific gender. Method: After Institutional Ethics Committee Approval and written informed consent, patients who were diagnosed with BPAD attending out-patient department of a tertiary care hospital in Mumbai were recruited. A total of 57 participants were enrolled. The World Health Organization Quality of Life - Brief Scale (WHOQOL BREF) and the Montréal Cognitive Assessment (MoCA) were both used to evaluate the patients' quality of life and cognitive ability, respectively. Discussion and Results: value of. 003. Regarding age, illness length, education, substance abuse, family history, and suicide attempts, there was no discernible difference in the polarities. The outcome of female bipolar patients may be improved if the clinician is mindful of the burden of depression, risk of misdiagnosis, and variable therapy response. Interestingly, our study found no significant difference between MoCA scores of those with depressive and manic polarity. Substantial MoCA score differences were found between the groups with depressive polarity and no polarity. Conclusion: Men were observed to experience more manic episodes. More women in the study experienced predominantly depressive polarity, highlighting the need to probe for a past history of hypomania or mixed episodes to avoid misdiagnosis as unipolar depression in them. Manic predominate polarity performed better in the physical and psychological domains of the post hoc test for quality-of-life BREF scale. There were substantial MoCA score differences between the groups with depressive polarity and no polarity, with the depressive polarity showing more cognitive decline.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".