Adolescent Lifestyle Behaviour Modification and Mental Health: Longitudinal Changes in Diet, Physical Activity, Sleep, Screen Time, Smoking, and Alcohol Use and Associations with Psychological Distress
Bibliographic record
Abstract
Abstract This study examines longitudinal behaviour change in six key lifestyle behaviours—sleep, physical activity (PA), sedentary recreational screen time, diet, alcohol use, and tobacco use—and associations with mental health in a large study of Australian adolescents. Change between baseline (M age = 12.7, N = 6,639) and 3-year follow up (M age = 15.7, N = 4445) was investigated. Generalised linear mixed effects regressions modelled associations between behaviour change and later psychological distress score adjusting for baseline behaviours, baseline psychological distress, social determinants, and school clustering. Changes over time in each of the behaviours were significantly associated with later psychological distress, whereby health-promoting behaviours were associated with reduced psychological distress and vice versa. When all behaviour changes were modelled together, significant effects remained for sleep, PA, vegetable consumption, junk food and SSB consumption, alcohol, and tobacco use. Results highlight the potential benefits of behaviour modification to reduce the progression of psychological distress in adolescence.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".