Prevalence of metabolic syndrome in never treated mood disordered patientss
Bibliographic record
Abstract
Bipolar disorder and major depression are life-shortening illnesses. Unnatural causes such as suicide and accidents account for only a portion of this premature mortality1 Research is beginning to identify that mood disordered patients have a higher incidence of metabolic syndrome, an illness characterized by dyslipidemia, impaired glucose tolerance, hypertension and obesity.2 Metabolic syndrome is associated with an increased risk for a variety of physical illnesses. Hypothesis: Never treated patients with mood disorders have preexisting elevations in the prevalence of the component variables of metabolic syndrome. Central obesity will be especially elevated, predicting increased premature mortality. Methods: We assessed never treated patients with mood disorders for metabolic syndrome and its component variables. Patients were assessed at baseline and followed up at 6-month intervals. All psychiatric pharmacotherapy was documented. Body mass index (BMI) was also obtained and the percentage of deaths attributable to overweight and obesity was calculated using the population attributable risk (PAR). [PAR= ∑[P (RR-1)/RR] Results: Prior to the initiation of treatment, patients did not differ from population norms with respect to metabolic syndrome or BMI. At 2-year follow-up, BMI had increased for unipolar patients 2.02 points and 1.92 points for bipolar patients. (p < .001) This increase in BMI predicted an increase in mortality of 19.4%. Conclusion: An increase in visceral obesity is often the first component of metabolic syndrome to appear and may indicate the initiation of this disease process prematurely in this group. The increase in BMI places patients with mood disorders at risk for premature mortality and indicates a need for early intervention. References 1.Osby U, Brandt L, Correia N, Ekbom A & Sparen P. Excess mortability in bipolar and Unipolar disorder rin Sweden. Archives of General Psychiatry, 2001;58: 844-850 2.Toalson P, Saeeduddin A, Hardy T & Kabinoff G. The metabolic syndrome in patients with severe mental illness. Journal of Clinical Psychiatry, 2004; 6(4): 152-158
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".