Associations Between Bipolar Disorder and Metabolic Syndrome
Bibliographic record
Abstract
OBJECTIVES: To examine the pathophysiologic mechanisms that may link bipolar disorder and metabolic syndrome and to discuss whether the consequences of metabolic syndrome underlie a substantive portion of the premature morbidity and mortality observed in persons with bipolar disorder. DATA SOURCES: A MEDLINE search, citing articles from 1966 onward, supplemented by a review of bibliographies, was conducted to identify relevant studies. Bipolar disorder, mood disorder, metabolic syndrome, diabetes, cardiovascular illness, and obesity were used as keywords. Criteria used to select studies included (1) English language, (2) published studies with original data in peer-reviewed journals, and (3) studies that confirmed the nature of the mood disorder examined. RESULTS: Ninety-seven studies met criteria and were reviewed for evidence of dysregulation in various physiologic systems. Bipolar disorder and metabolic syndrome share features of hormonal, immunologic, and autonomic nervous system dysregulation. CONCLUSION: Lifestyle features may account, in part, for the premature mortality observed in bipolar disorder, but the somatic correlates of the illness may also predispose patients to metabolic syndrome and the consequent increased risk of diseases such as diabetes and vascular disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".