From Ottawa to Nairobi: adolescent’s wellbeing and the health promotion trigger of health literacy
Bibliographic record
Abstract
Background Time trends in mortality from cerebrovascular accidents in Portugal have decreased from 273 (%000) in 1976, to 72 (%000) by 2010. These results are consequences of several stakeholders’ interventions such as CINDI (Countrywide Noncommunicable Disease Intervention) which were carried out in Portugal by the Fundacão Professor Fernando Padua (FPFP). These health gains are at risk today (e.g. increase on smoking rates, weight gain). To face these aggravations, the FPFP launched a program to foster health promotion among adolescents by the increase of health literacy (HL). Presentation of preliminary results help define a base line for intervention. Methods A quantitative explanatory cross-correlated study based on a sample of 110 adolescents from the Portalegre region of Portugal was collected in a school setting, after ethical procedures were followed with CAWI and SASI methods. Measurement of adolescents’ HL was implemented with the HLS-EU-PT® survey, the Portuguese version of the European Health Literacy Survey instrument adapted to adolescents (www.literacia-saude.info). Results Reliability analysis of HLS-EU-PT dimensions shows an internal consistency (Cronbach's alpha coefficient) of 0.93 (Health Care), 0.92 (Disease Prevention) and 0.95 (Health Promotion), while the global instrument presents a value of 0.94. Inadequate HL (7.5%) and problematic HL (29.3%) show that about 36% of respondents have limited HL. Participants were more likely to adopt measures to promote health if they had higher levels of HL. Conclusions The results enhance the reliability of the Portuguese translation and validation process of the HLS-EU survey when applied to evaluate adolescents’ HL. HL seems to play a role in health promotion. Further research must investigate HL potential at this age range and how it should be developed in the school curricula.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".