A Systematic Review of Stress in Dental Students
Bibliographic record
Abstract
The aim of this study was to systematically review the available literature on the levels, causes, and impact of stress among dental students. The investigators searched eight electronic databases: Medline, Medline in process, Psychinfo, ERIC, Embase, Cochrane Library, Web of Science, and SCOPUS. Two independent reviewers conducted the selection, data extraction, and quality appraisal for included studies. The investigators then coded both quantitative and qualitative studies using similar codes and pooled results from studies that used the Dental Environment Stress questionnaire to demonstrate dental students' stress levels. The search initially identified 4,720 studies, of which 124 studies were included in the final qualitative synthesis and twenty-one were included in the meta-analysis. Evidence from this research showed that dental students experience considerable amounts of stress during their training. This stress is mainly due to the demanding nature of the training. In addition, studies suggest adverse effects of elevated stress on students' health and well-being. Most of the available literature is based on cross-sectional studies; thus, future longitudinal studies are needed to follow students throughout their curriculum. In addition, further research needs to explore and test stress management interventions.
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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 | 0.010 | 0.046 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.016 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".