Is bipolar disorder associated with tramautic brain injury in the homeless?
Bibliographic record
Abstract
INTRODUCTION: Links between Bipolar Disorder (BD) and medical conditions are increasingly reported. Traumatic Brain Injury (TBI) is a prevalent medical condition found in homeless populations. urdens associated with BD in the homeless population. AIM: This paper examines the correlation between the presence of BD and TBI, comparing homeless affected by Bipolar Disorder, Unipolar Depression (UD) and Schizophrenia Spectrum Disorder (SSD), controlled for other TBI risk factors such as age, gender, comorbid alcohol and substance use disorders as the confounding variables. METHODS: From 489 participants of Vancouver arm of the At Home/Chez Soi Study, 416 homeless had psychiatric diagnoses, alcohol and substance dependence, and TBI determined by the MINI Questionnaire and the Comorbid Conditions List. 147 patients with BD were compared with 175 UD and 94 SSD for age, gender, the presence, number and severity of TBI and the presence of alcohol and substance use diagnosis, at a univariate and multivariate level. RESULTS: The homeless with BD had higher percentage of TBI compared to the homeless with SSD. However, the reported severity and frequency of TBI by patients with BD, UD, and SSD were not statistically different. BD diagnosis was associated with TBI at multivariate level. CONCLUSIONS: TBI could be considered one of the physical burdens associated with BD in the homeless population.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".