Risk factors of dementia cognitive symptoms among older patients in Vietnam: A cross-sectional study
Bibliographic record
Abstract
Background. Dementia has emerged as a significant contributor to declining quality of life and stands as a prominent factor in the increase of disability and dependency among elderly populations globally. This study aimed to explore the relationship between cognitive symptoms of dementia and their risk factors in individuals aged 60 years and older among Vietnamese outpatients who visited Geriatrics Clinic at University Medical Center of Ho Chi Minh city, Vietnam. Methods. 387 participants who were aged ≥ 60 years old were included in the cross-sectional study. Cognitive impairment was assessed by using the Mini Mental State Evaluation (MMSE) questionnaire. The functional limitations in activities of daily living (ADL) and Instrumental Activities of Daily Living (IADL), multimorbidity, and polypharmacy were also evaluated. Frailty was determined by The Canadian Study of Health and Aging Clinical Frailty Scale. Suffering dementia was determined when MMSE score was below 24 and IADL score less than 8. Results. People with dementia cognitive symptoms accounted for 22.74 % of the cohort. The percentage increased with age, and was higher in women than in men. Factors that increased the odds of having dementia symptoms were of older age, female, multimorbidity, Frailty Scale > Grade 4 and ADL dependency. Conclusions. Age, female gender, multimorbidity, frailty and ADL dependency were considered as risk factors of dementia cognitive symptoms among the Vietnamese people aged 60 years and older.
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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 | 0.001 |
| 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".