It Is Personal: What People with Parkinson's Disease Say Matters Most for Quality of Life
Bibliographic record
Abstract
BACKGROUND: Little is known about what matters most for quality of life in people with Parkinson's disease and how much it varies between individuals. OBJECTIVE: The goal was to define the relative impact of quality of life determinants in people with Parkinson's disease, including variation across individuals and by disease severity, gender, age, and ethnicity. METHODS: Sixty-one factors potentially associated with quality of life in people with Parkinson's disease were identified from the literature and nominated by participants with Parkinson's disease. Forty-four participants then rated their degree of impact on quality of life from "a lot" to "not at all," and identified their "top 3 most important" factors. RESULTS: At the individual level, determinants of utmost importance varied greatly, with 39 of 61 factors being reported at least once in the "top 3." There were 17 factors that at least 50% of the sample agreed affected quality of life "a lot," and only two were symptoms of the disease. Twelve (all positive experiences) retained at least 50% agreement across subgroups defined by disease severity, age, gender and ethnicity. Symptom-related factors of high importance varied markedly in mild disease subgroup in particular. CONCLUSIONS: Factors that are not direct consequences of the disease, but may be highly personal and interfere with what one finds meaningful, emerged as highly relevant. Symptoms also greatly impacted quality of life for most individuals, but specific symptoms varied across individuals. Quality of life determinants in people with Parkinson's disease appear highly individualized, and currently used measurement tools with fixed items may not be optimal. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".