Public Health Challenges for Post-secondary Students During COVID-19: A Scoping Review
Bibliographic record
Abstract
Research about public health impacts of COVID-19 on post-secondary students is slowly beginning to emerge. This scoping review identified common public health challenges among post-secondary students in higher-income countries during the COVID-19 pandemic. Five databases were searched to find relevant peer-reviewed literature up to March 2022. Results were categorized according to reported public health challenges and relevant socio-economic variables. After screening, 53 articles were reviewed. Most articles were from the USA (39/53). The seven main public health challenges identified were mental health (35/53), financial instability (25/53), physical health (13/53), food insecurity (12/53), social well-being (8/53), digital access (7/53), and housing or relocation (6/53). Students with low socioeconomic status experienced heightened public health challenges. This review offers insight and opportunities for the development of longitudinal tools to support social determinants of health in post-secondary populations in high-income countries and may offer insight into similar experiences for students in other settings.
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 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 | 0.068 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.001 | 0.012 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".