Relationship between COVID-19 pandemic-related experienced stress and lifestyle habits among university students from Québec, Canada
Bibliographic record
Abstract
Whether COVID-19-related experienced stress influenced lifestyle habits remains to be thoroughly evaluated among university students. This study examined the relationship between COVID-19-related experienced stress and subsequent lifestyle habits among undergraduate students. This cross-sectional study included 708 undergraduate students from Université Laval (Québec, Canada) participating in the Expériences Pandémiques (ExPan) cohort. Data on COVID-19-related experienced stress and lifestyle were self-reported using a questionnaire completed between February and April of 2022. A stress index (SI) was computed by summing scores associated with 31 situational statements related to the pandemic (e.g., not being able to see friends, dealing with job loss). A healthy lifestyle score (HLS) ranging from zero to seven was calculated based on seven lifestyle habits: moderate-to-vigorous physical activity, sleep quality, fruit and vegetable intake, tobacco and electronic cigarette use, alcohol consumption, cannabis use, and hard or sedative-hypnotic drugs use. In multivariable-adjusted models, a negative association between the SI and the HLS was found (β10% increment SI = −0.23, 95% CI = −0.30, −0.16 HLS point; P < 0.0001). The SI was also negatively associated with sleep quality, and fruit and vegetable consumption, while being positively associated with at-risk alcohol consumption, cannabis use, and hard or sedative-hypnotic drug use. Subgroup analyses suggested a negative relationship between the SI and HLS among participants who did not receive academic accommodations (e.g., additional time for evaluations, personal notetaker), but not those who received such accommodations. This study suggests that COVID-19-related experienced stress was negatively associated with healthy lifestyle habits in this cohort of undergraduate students.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".