Longitudinal Associations Between Lifestyle Habits and Perseverance and Academic Achievement Among Canadian Postsecondary Students
Bibliographic record
Abstract
This study aims to examine the longitudinal associations between lifestyle habits of students at the beginning of their postsecondary education and their perseverance and academic achievement one year later. The convenience sample consists of 2124 students enrolled in the fall semester of 2023 at eight educational institutions (58% women, 42% men). Academic data on perseverance and achievement were provided by the institutions at two time points: fall semester 2023 (Time 1) and fall semester 2024 (Time 2). Participants self-reported their lifestyle habits, age, gender, parental education level, and personal income. Results show that better stress management is associated with a higher likelihood of academic perseverance one year later (Odds Ratio [OR] = 1.48, 95% CI: 1.01, 2.16, p < .05), while higher frequency of daily vaping is negatively associated with perseverance (OR = .96, 95% CI: .92, 1.00, p < .05). Regarding academic achievement, daily breakfast consumption (b = 3.03, 95% CI: .45, 5.54, p < .05) and low alcohol consumption (b = .38, 95% CI: .09, .69, p < .05) are positively associated with better academic performance one year later, while vaping frequency (b = -.31, 95% CI: -.58, -.04, p < .05) is negatively associated with it.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".