Lifestyle Behavior Patterns During the Transition From Adolescence to Emerging Adulthood: Associations With Mental Health and Wellbeing
Bibliographic record
Abstract
The synergistic role played by multiple lifestyle behaviors on mental health during the transition from adolescence to emerging adulthood has not been extensively studied. This study included 493 participants who self-reported on a range of health behaviors during adolescence and emerging adulthood, and psychological distress and mental wellbeing during emerging adulthood. Latent profile analysis and latent transition analysis were used to analyze the data. Three unique behavioral profiles were observed at baseline: moderately physically active abstainers (i.e., abstaining from alcohol, tobacco, and marijuana), high screen time users, and moderately physically active and moderate risk behaviors. Four unique behavioral profiles were observed at follow-up: highly physically active with moderate risk behaviors, moderately physically active with moderate risk behaviors, physically inactive abstainers, and physically inactive with risky behaviors. Adolescents characterized as moderately active abstainers reported fewer symptoms of psychological distress during emerging adulthood compared to adolescents who displayed moderately active and moderate risk behaviors, and better mental wellbeing than high screen time users.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".