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Record W2799711615 · doi:10.14748/vmf.v7i0.4968

Awareness of the visitors of solar studios in Varna and Dobrich about the health risks from their use

2018· article· en· W2799711615 on OpenAlexaboutno aff
Slavka Valcheva, Mariela Ilieva, Neli Kancheva, Denitsa Georgieva, Tеодора Димитрова

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental healthStudioQuarter (Canadian coin)Skin cancerMedicinePopulationHealth riskPsychologyGeographyEngineeringCancer

Abstract

fetched live from OpenAlex

Bulgaria is one of the countries with the highest number of cases of skin cancer worldwide. The consequences of intensive exposure to UV radiation are an important health and social issue. Artificial indoor tanning has been offered widely during the last years and this has lead to plenty of discussions mainly related to the risks of the uncontrolled offer of such services, and to the need of safety and health regulations. The purpose of the study is to determine the levels of health risk awareness amongst the clients of solar studios in Varna and Dobrich. A survey was conducted involving 116 people of which 97 women and 19 men. According to the results, only 57.9% have been informed by a cosmetician. Only 70% of the clients have been given regularly instructions for the use of the solarium. Almost one quarter of the participants in the survey stated that they chose a solar studio because of the radiation parameters. More than 50% of the interviewed exposed to artificial UV radiation the zones of their bodies with pigmentary formations while 55.3% of the clients of artificial tan studios naturally have light skin, which means they are exposed to a higher risk of malignant new formations. Based on these results, activities aimed at raising the population`s awareness about the effects of UV radiation and about protection measures, as well as at building habits of safe behavior when using artificial UV radiation sources, should be planned and implemented.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.075
GPT teacher head0.349
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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