First Year University Students Self-Reported Health Outcomes Over an Academic Semester
Bibliographic record
Abstract
The transition to university can be a stressful time in a student’s life. Recent evidence demonstrates declining mental and physical health in college and university students compared to the general public. A prospective cohort study investigating mental and physical wellness over the course of a semester in a sample of first-year undergraduate students (N=74; 65%F) from nine faculties was completed at a large university in Canada. Sixty-eight (92%) students with a mean (SD, ±) age 18.2 ± 1.1 yrs., weight 67.9 ± 15.5 kg, height, 168.5 ± 11.6 cm and waist circumference 81.3 ± 9.8 cm completed the SF-36V2 quality of life questionnaire at the beginning and end of the semester in Fall 2014. A decrease in vitality (p=0.003), social functioning (p=0.004), emotional state (p=0.014), and mental health (p=0.019) outcomes as measured by the SF-36v2 occurred during the semester. In addition, aggregate mental health significantly declined from the beginning to the end of the semester (p <0.001), while physical health did not change (p=0.242). The importance of promoting and increasing awareness of campus wide mental health strategies should be considered a priority for first year undergrad students. Particularly, because students in their first year may take longer than one semester to adjust to the increased work load and although difficult to speculate it is possible that both mental and physical health would decline over the next (second) semester. Future research should aim for longer study duration.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".