The Level of Health Literacy of Seniors Living in Eastern Region of Poland. Preliminary Study
Bibliographic record
Abstract
Health literacy (HL) is recognised as an important, modifiable factor in the self-management and health performance of elderly people. The aim of this preliminary study was to identify and analyse the level of health literacy among the elderly living in one of the eastern regions in Poland. The cross-sectional study was conducted among a convenience sample of 200 seniors aged 65+ after cognitive pre-screening with the use of the Montreal Cognitive Assessment (MoCA) scale. To collect data, the Polish version of the HLS-EU-Q47 was used. More than half of the elderly surveyed presented problematic levels of general HL (GEN-HL), and also problematic levels of other dimensions: health care health literacy (HC-HL), disease prevention health literacy (DP-HL), and health promotion health literacy (HP-HL). The level of seniors’ HL is dependent on the level of their education, place of living, participation in activities run by Daily Center for the Elderly, and their self-assessment of health condition (p < 0.05). These results imply the important message that there is a need to create initiatives and programs improving health literacy targeted at seniors living in rural areas, those with lower levels of education, and those with poor access to activities organised by institutions supporting seniors.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".