Premorbid Personality and the Risk of Parkinson’s Disease
Bibliographic record
Abstract
Background: Previous studies support the hypothesis that premorbid personality characteristics may be associated with the risk of Parkinson’s disease (PD). However, most of these relied upon subjective reports of premorbid personality earlier in life, which may be subject to recall bias. The objective of the current study was to evaluate the association of PD with risk-taking, routinization, smoking and alcohol consumption in early-adult life as indicators of premorbid personality. Methods: In-person interviews were conducted with 89 PD patients and 99 controls from a university-based medical center. Associations between indicators of early-adult personality and risk of PD were examined using logistic regression. Results: Adjusting for age, sex and education, taking or wanting to take more activity risks as a young adult was inversely associated with the risk of PD in the entire sample (odds ratio (OR) = 0.78 (95% confidence interval (CI) 0.63 - 0.97)). Among women, higher levels of routinization as a young adult were associated with an increased risk of PD (OR = 1.63 (95% CI 1.05 - 2.53)). Conclusions: Parkinson patients were more likely to take or want to take fewer risks in early-adult life and to prefer a more routine lifestyle than controls, suggesting that individuals with PD may have distinctive premorbid personality characteristics.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".