Physical Activity in Advanced Parkinson's Disease: Impact of Subthalamic Deep Brain Stimulation
Bibliographic record
Abstract
BACKGROUND: Maintaining a physically active lifestyle promotes general health. Recent studies have demonstrated that patients with Parkinson's disease (PD) fail to meet the suggested levels of physical activity and that targeted interventions do not always improve this behavior. One validated treatment for motor symptoms in PD is subthalamic stimulation (STN DBS). OBJECTIVE: Assess whether motor symptom improvement following STN DBS translated into increased physical activity behavior. METHODS: Twenty patients with PD scheduled for bilateral STN DBS filled-out the Phone-FITT physical activity questionnaire and the SF-36 quality of life questionnaire prior to surgery and 6 to 9 months postoperatively. Data were compared to age- and gender-matched healthy controls. RESULTS: Our results demonstrate that PD patients' quality of life is significantly lower than healthy controls. While STN DBS improves motor symptoms in the intermediate term, it only improves some aspects of quality of life related to physical function. Furthermore, STN DBS does not modify physical activity behavior measured by the Phone-FITT, whether for household or recreational activities. CONCLUSION: The current study demonstrates that the motor improvements observed after STN DBS do not lead to systematic improvements in all aspects of quality of life or increased levels of physical activity. This highlights the need to develop and implement intervention strategies to promote an active lifestyle in this population, even if clinical improvement is evident following surgery.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".