Research on the Correlation between Serum Vitamin D Level and Cognitive Function in Parkinson's Disease in Plateau Areas
Bibliographic record
Abstract
BACKGROUND: To explore the impact of serum vitamin D level on the cognitive function of Parkinson's disease (PD) patients in hypoxia environment. METHOD: From September 2021 to September 2024, 231 PD patients (aged 66.88±11.10 years) were selected from the Parkinson's clinic of Qinghai Provincial People's Hospital(Average altitude:2300 meters). According to the Mini-Mental State Examination (MMSE), they were divided into 66 the normal cognitive group (NC),114 mild cognitive impairment group (MCI), and 51 Parkinson's dementia group (PDD), Demographic data were collected, PD and cognition-related scales were evaluated, and blood index were measured. RESULT: There were statistically significant differences in age, gender, education, family situation, occupation, smoking and hyperhidrosis among the three groups (p <0.05). Compared with the NC group, there were increased the total Unified Parkinson's Disease Rating Scale (UPDRS) score, UPDRS-I, II, III, Hoehn-Yahr (H-Y) stage, Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), Pittsburgh Sleep Quality Index (PSQI) and Activity of Daily Living (ADL) in MCI group and PDD group, while MMSE, Montreal Cognitive Assessment (MOCA), red blood cells, hemoglobin, folic acid, and vitamin B12 decreased (p <0.05). Parkinson's cognitive decline(PDCI) was positively correlated with age (r=0.033), hyperhidrosis (r=0.054), total UPDRS score (r=0.002) and H-Y stage (r=0.502), while, negatively correlated with folic acid (r=-0.189), vitamin D (r=-0.039), red blood cells (r=-0.188), and hemoglobin (r=-0.004). Ordered regression display that UPDRS-II (activities of daily living) (OR=1.100, 95%CI=1.021-1.206) was a risk factor for PDCI, Vitamin D (OR=0.169, 95%CI=-0.349-0.271) was a protective factor (p <0.05). CONCLUSION: High serum vitamin D levels have a protective effect on PDCI, while a decline in ADL can lead to cognitive impairment in hypoxia environment.
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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 | 0.001 | 0.001 |
| 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".