A Systematic Review of the Association between Sedentary Behavior and Non-Motor Symptoms of Parkinson’s Disease
Bibliographic record
Abstract
Abstract Background Parkinson’s disease, known for motor symptoms, often brings early non-motor issues that severely affect patients’ quality of life. While there are not many effective treatments, physical activity and exercise can help. Yet, another component of the movement intensity continuum warrants examination—prolonged sitting or sedentary behavior. Thus, aim of this study was to perform a systematic review to investigate the relationship between sedentary behaviour and non-motor symptoms, specifically cognitive decline, depression and sleep deficits in Parkinson’s disease. Methods Conforming to PRISMA guidelines, we reviewed the literature up to February 28, 2023, to investigate how sedentary behavior correlates with non-motor symptoms such as cognitive impairment, depression, and sleep disturbances in Parkinson’s disease. A systematic search of the literature was conducted via electronic databases including MEDLINE, CINAHL, Scopus, PubMed and PsycINFO. The eligibility criteria for study selection was: (i) If it studied the Individuals with Parkinson’s disease with sedentary behaviour(iii) studies investigating the association between sedentary behavior and at least one of the non-motor symptoms, including depression, sleep quality, and/or cognitive impairment. New-castle-Ottawa scale for cross-sectional and cohort studies was used to perform quality assessment of the studies. Results Of the 463 publications found, 7 studies met the inclusion criteria. All the studies were observational. Total number of cases across all studies were 980. Collectively, these studies show that prolonged sedentary time is associated with increased cognitive, depressive, and sleep-related problems. Conclusion Recognizing sedentary behavior as an independent factor holds pivotal significance. The intricate relationship between sedentary behavior and Parkinson’s disease non-motor symptoms necessitates further exploration to potentially enhance therapeutic strategies for those living with the disease.
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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 | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.017 | 0.018 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".