Are Cardiometabolic and Endocrine Abnormalities Linked to Sleep Difficulties in Schizophrenia? A Hypothesis Driven Review
Bibliographic record
Abstract
Schizophrenia is a psychiatric disorder that includes symptoms such as hallucinations, disordered thoughts, disorganized or catatonic behaviour, cognitive dysfunction and sleep-wake disturbance. In addition to these symptoms, cardiometabolic dysfunction is common in patients with schizophrenia. While previously it has been thought that cardiometabolic symptoms in patients with schizophrenia were associated with medications used to manage this disorder, more recently it has been demonstrated that these symptoms are present in drug naive and unmedicated patients. Sleep-wake disturbance, resulting in chronic sleep loss has also been demonstrated to induce changes in cardiometabolic function. Chronic sleep loss has been associated with an increased risk for weight gain, obesity and cardiac and metabolic disorders, independent of other potentially contributing factors, such as smoking and body mass index. We hypothesise that the sleep-wake disturbance comorbid with schizophrenia may play a significant role in the high prevalence of cardiometabolic dysfunction observed in this patient population. Here we present a critical review of the evidence that supports this hypothesis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".