Impact of <scp>COVID</scp>‐19 on Depression, Anxiety and Stress of Dental Students: A Systematic Review
Bibliographic record
Abstract
AIM: To determine the impact of the COVID-19 pandemic on depression, anxiety and stress of dental students by way of a systematic review. MATERIALS AND METHODS: This review was conducted following the Cochrane Handbook for Systematic Reviews. An electronic search was conducted for the period January 2020 to February 2023. Quality assessment was evaluated in accordance with the Newcastle-Ottawa Scale. Frequency distribution was calculated for stress, anxiety and depression associated with students' gender, year of study and living circumstances. RESULTS: Twenty-three studies were eligible for inclusion in the final review. Variables contributing to stress, anxiety and depression of dental students include gender, year of study and living circumstances. Being female is the most significant factor impacting on mental health. CONCLUSIONS: Results emphasise the need for dental institutions to develop targeted intervention programmes for more vulnerable students. Failure to act in a future pandemic event could result in ongoing psychological issues that persist following graduation, resulting in unfit dentists who may potentially affect the quality of the dental workforce.
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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 | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 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".