Comprehensive assessment of caregiver burden and strain in early-stage Parkinson’s disease: An exploratory study
Bibliographic record
Abstract
Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting motor and cognitive functions, reducing the quality of life (QoL) for both patients and caregivers. This study explored correlations between clinical and psychological factors in early-stage PD patients and their caregivers, focusing on disease burden and caregiver stress. Nineteen PD patients and their caregivers were assessed. For patients, we evaluated disease severity (Hoehn and Yahr), cognitive functions (Montreal Cognitive Assessment, MoCA), anxiety levels (Hamilton Rating Scale for Anxiety, HRS-A), and quality of life (Parkinson’s Disease Questionnaire, PDQ-39). For caregiver, we assessed caregiver burden (Caregiver Burden Inventory, CBI), functional social support (Family Strain Questionnaire, FSQ), and anxiety level (HRS-A). Spearman’s correlation analyzed relationships between patient factors and caregiver burden. Cognitive impairment (MoCA) negatively correlated with patient QoL (PDQ-Cogn; r = −0.48, p = 0.04). Caregiver anxiety (HRS-A) was positively correlated with physical ( r = 0.65, p = 0.003) and emotional stress ( r = 0.57, p = 0.01), and higher family stress (FSQ). Our study highlights the complex relationships between clinical and psychological factors in PD patients and their caregivers. This supports the need for integrated approaches that address the clinical management of PD and the caregivers’ psychological well-being.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".