The prevalence of diabetes among sexual and violent offenders and its co‐occurrence with cognitive impairment, mania, psychotic symptoms and aggressive behavior
Bibliographic record
Abstract
The prevalence of diabetes among 915 sexual, violent, and non-violent non-sex offenders was found to be more than twice the prevalence in the general population. Diabetes was most common among violent offenders and among sex offenders who victimized children. The older diabetics presented significantly more often with cognitive impairment and younger diabetics more often with manic and psychotic symptoms. Younger diabetics were significantly more likely to use force and a weapon in their offenses and were most likely to injure their victims when compared to older diabetics and younger and older non-diabetic offenders. In more than one in four cases, the diabetes was undiagnosed at the time of their offenses prior to clinical assessment, suggesting that undiagnosed diabetes may be a possible mitigating factor in some sexual and violent offenses. Results indicate that a routine endocrine evaluation with blood tests would be a valuable addition to the assessment of violent and sexual offenders.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".