Impact of ethnicity on mood disorders in Parkinson's disease
Bibliographic record
Abstract
Anxiety and depression are common in Parkinson's disease (PD) patients, yet their prevalence and severity compared to individuals without PD requires more research. Moreover, it has never been compared across different ethnic groups. The objective of this study was to close that gap in the literature by exploring the caseness and severity of anxiety and depression in PD patients of different ethnicities compared to controls without PD. It was found that caseness and severity of anxiety and depression are higher in individuals with PD compared to controls. Furthermore, the caseness and severity of anxiety and depression do not vary significantly among ethnic groups. Finally, depression caseness was not predicted by age, gender, disease duration, restless legs syndrome prevalence, Hoehn and Yahr (H&Y) score nor Unified Parkinson's disease rating scale part III (UPDRS-III) score. Anxiety caseness was predicted by gender, with females 2.7 times more likely to have anxiety caseness than males. Overall, our study suggests that treatment plans should be individualized based on prevalence and severity of the two conditions in individuals with PD rather than generalize treatment for specific ethnic groups.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".