Association between different coping styles and health-related quality of life in people with Parkinson’s disease: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: To describe overlapping coping strategies in people with Parkinson's disease. DESIGN: Cross-sectional, cohort study. SETTING: Monocentric, inpatient and outpatient, university hospital. PARTICIPANTS: Two-hundred participants enrolled, 162 patients with Parkinson's disease (without dementia) analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence of different coping styles according to the German Essen Coping Questionnaire. Association between coping, sociodemographic and clinical parameters (Movement Disorder Society (MDS)-sponsored revision of the Unified Parkinson's Disease Rating Scale (UPDRS), non-motor symptoms questionnaire (NMS-Quest), Montreal cognitive assessment (MoCA), Beck depression inventory (BDI) and health-related quality of life (Short Form Health Survey 36 (SF-36))). RESULTS: In comparison with patients who employed a passive coping style, patients using an active form of coping were characterised by a shorter disease duration (p=0.017), fewer motor impairments (MDS-UPDRS II p=0.040, MDS-UPDRS III p=0.003), a lower non-motor burden (NMS-Quest p=0.048), better cognitive function (MoCA p=0.036) and fewer depressive symptoms (BDI p<0.001). From the 162 participants, 24% showed an overlap of active and passive coping strategies. The most common combination was acting/problem-oriented coping and distance and self-promotion. In comparison with patients who employed passive coping, the group with an overlapping coping style was characterised by a shorter disease duration (p=0.023) and lower depressive burden (p=0.001). In comparison with patients who employed active coping, the overlap group was characterised by poorer cognitive function (p=0.045). The SF-36 values of the overlap group were between those of the active and passive coping groups. CONCLUSION: Knowledge about overlapping coping strategies is relevant to the implementation of strategies to promote active and healthy coping.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".