The association between metabolic syndrome components and cognitive function in community-dwelling middle-aged and older adults: the first wave result of a cohort study
Bibliographic record
Abstract
BACKGROUND: The components of metabolic syndrome (MetS) have previously been demonstrated to be contributors to cognitive decline in older adults as individual factors, but not collectively as a syndrome. This study investigated whether adults ≥ 50 years old who meet the criteria for MetS were more likely to develop impaired cognition than those without MetS. METHODS: Adults aged 50 years or older without significant cognitive impairment who received outpatient care at Taipei Veterans General Hospital were recruited. Waist circumference, blood tests for Mets components, and high-sensitivity C-reactive protein (hsCRP) were measured. Demographics, health condition, cognitive function (by Montreal Cognitive Assessment Taiwanese version, MoCA-T, and AD-8), depression symptoms (by Geriatric Depression Scale-15) and functional status (by Barthel's Index, and Lawton & Brody instrumental activities of daily living, IADL) were evaluated. Associations between MetS and cognitive function were analyzed by multivariate logistic regression. RESULTS: Data of 567 participants were analyzed. The prevalence of MetS of the study population was 34.2%. MetS status was not significantly correlated to cognitive decline as indicated by Montreal Cognitive Assessment Taiwan version (p = 0.13) and AD-8 (p = 0.42). Mild abdominal obesity decreased the risk of developing impaired cognition in women (adjusted OR = 0.62, 95% CI = 0.42, 0.93, p = 0.02) but not in men (adjusted OR = 0.84, 95% CI = 0.46, 1.53, p = 0.58). CONCLUSIONS: MetS is not a significant contributory factor to cognitive decline in community-dwelling middle-aged and older adults. An optimal waist circumference in community-dwelling older women is protective against the development of mild dementia.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".