Comorbidity in Bipolar Disorder Among the Elderly: Results From an Epidemiological Community Sample
Bibliographic record
Abstract
OBJECTIVE: This study sought to determine psychiatric comorbidity among elderly individuals with bipolar disorder. METHOD: An epidemiological community survey identified 84 elderly (ages >/=65) respondents with bipolar disorder, 1,327 younger adults with bipolar disorder, and 8,121 elderly respondents without bipolar disorder. RESULTS: Elderly respondents with bipolar disorder reported lifetime and 12-month rates of comorbid alcohol use disorders (38.1%, 38.1%, respectively), dysthymia (15.5%, 7.1%), generalized anxiety disorder (20.5%, 9.5%), and panic disorder (19.0%, 11.9%) that were significantly higher than among elderly respondents without bipolar disorder. They had lower lifetime and 12-month rates of alcohol use disorders and lower 12-month rates of dysthymia and panic disorder than younger adults with bipolar disorder. Elderly men with bipolar disorder reported a greater prevalence of alcoholism; women reported a greater prevalence of panic disorder. CONCLUSIONS: Comorbid axis I disorders, including panic disorder, are common among elderly individuals with bipolar disorder.
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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) | 0.001 | 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 | 0.001 |
| 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".