Metabolic syndrome associations with neurocognitive function in first-episode schizophrenia spectrum disorders
Bibliographic record
Abstract
We examined the associations between metabolic syndrome (MetS) and neurocognitive function in patients with first-episode schizophrenia spectrum disorders (FES) compared to controls assessed using the Repeatable Battery for the Assessment of Neuropsychological Status. In patients, psychopathology was assessed using the Positive and Negative Syndrome Scale and Calgary Depression Scale for Schizophrenia. First, we found illness- and domain-specific associations between the individual MetS features and neurocognitive performance in patients, but not in controls. Second, body mass index and total cholesterol levels were lower in patients than controls, which in turn correlated with increased global psychopathology severity and cognitive deficits. Third, negative symptoms moderated the association between low HDL cholesterol and poorer immediate verbal memory performance in patients. Our findings suggest that distinct lipid profile alterations are associated with cognitive performance and psychopathology severity in patients with FES. Further studies are needed to explore the associations of MetS with neurocognition over time, as well as how these relationships are affected by socio-demographic and clinical factors, including depression, anxiety, and related psychopathology.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".