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Record W4414443196 · doi:10.1556/650.2025.33359

Dohányzási szokások a marosvásárhelyi orvostanhallgatók körében

2025· article· hu· W4414443196 on OpenAlex
Edith Simona Ianoși, Hédi-Katalin Sárközi, Zsuzsanna Gáll, Voidăzan Septimiu, Maria Beatrice Ianoși

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOrvosi Hetilap · 2025
Typearticle
Languagehu
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsCuriosityPeer pressureElectronic cigarettePublic healthStatistical analysisProduct (mathematics)NicotineQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Introduction: Smoking is a major problem worldwide, especially among students. Smoking is one of the most dangerous social phenomena and has a significant impact on public health. Even though students with medical knowledge are expected to play a preventive role, the prevalence of smoking among them is significant. Objective: The aim of this study was to assess the smoking habits, knowledge and attitudes of medical students in Târgu Mureș, comparing them with national and global statistical data. Material and method: A cross-sectional study was conducted among medical students at the University of Medicine, Pharmacy, Science and Technology of Târgu Mureș between January and March 2025 using an anonymous, online questionnaire. IBM-SPSS v. 23 software was used for statistical calculations. Significant difference was considered at p<0.05. Results: From a total of 226 students, the prevalence of smoking was 39.38%. 21.2% of them reported smoking daily, and 4 students smoked more than one pack per day. 61.1% of students tried electronic cigarettes. The main motivation for trying them was curiosity (41.2%), but stress management (11.1%) and peer pressure (11.1%) also played an important role (p<0.001). The first time they tried a tobacco product was mostly (35.8%) between the ages of 15 and 18 years, but 13.3% tried it before the age of 15 years. 83.6% of students are aware of the role of nicotine in causing addiction. The health risks of smoking (e.g., cancer, cardiovascular and respiratory diseases) were recognized by 90.7% of students. A quarter of students are aware of the EVALI (electronic cigarette or vaping use-associated lung injury) phenomenon. 65.5% of the students did not participate in a prevention program, and 67.3% obtain information about smoking from the Internet. Conclusion: The prevalence of smoking among students is worrying, especially because they will be our future doctors. There is a need to launch plans to reduce smoking among students, which can be incorporated into courses and special programs. The results obtained show that, despite numerous campaigns, a significant proportion of medical students don’t receive reliable information about smoking. Orv Hetil. 2025; 166(38): 1496–1506.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.010
GPT teacher head0.320
Teacher spread0.310 · 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