Lifestyle risk behaviors of university students: a bibliometric analysis
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.
Bibliographic record
Abstract
Objective: Examine the evolution of publications on the lifestyle risk behaviors of university students. Methods: Bibliometric research was carried out on using 9011 articles retrieved from the SciELO and Web of Science database. The analyses included, the trend of the production, the most productive countries, journals, institutions, and the relevant information was extracted based on frequency of co-occurrence of keywords between 2009 and 2019 using the bibliometric software, namely VantagePoint, VOSviewer, NetDraw and UCINET. Results: The study revealed a significant concentration of publications between 2014 and 2018 in North American countries, especially the United States. However, the most productive institution was the University of São Paulo (Brazil). Stress, physical inactivity, obesity, and smoking were the risk behaviors most used as keywords in the articles, and these have a strong relationship with other keywords subsets related to mental health, forms of treatment, the study population and lifestyle behaviors. Conclusion: The scientific map of lifestyle risk behaviors among university students was supported by exhaustive research. It was possible by the establishment of research networks between the various centers of knowledge production, especially with the American researchers.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.066 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it