Analysis of the status and related factors of health literacy of Korean- Chinese elderly patients with hypertension
Bibliographic record
Abstract
Objective To investigate the status and related factors of health literacy of Korean-Chinese elderly patients with hypertension. Methods Structural interview were conducted among 334 Korean-Chinese elderly patients with hypertension using general condition questionnaire,hypertension-related health literacy evaluation scale,and physiological and biochemical parameter of the subjects including SBp,DBp,height,waist and fasting blood glucose were measured. Results The average score of health literacy was (85.0±71.6),while about two thirds (65.0％) had inadequate health literacy and about one quarter (25.4％)had adequate health literacy.Age and SES entered multiple regression equation of health literacy(Cum.R2=0.347). Conclusions Health literacy of Korean-Chinese elderly patients with hypertension was serious;age and SES were the important factors about health literacy. Key words: Health literacy; Hypertension; Korean-Chinese; Elderly patients; Social economic status
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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 | 0.002 |
| 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".