Smoking behavior and symptoms of depression and anxiety among young adult backpackers: Results from a short longitudinal study
Bibliographic record
Abstract
Levels of smoking and smoking initiation have been found to increase during the transition to adulthood. Symptoms of depression and anxiety may both precede or follow smoking behavior, yet there is equivocal evidence regarding the direction of this relationship. The aim of the current study was to examine the direction of this relationship in a group of young adult backpackers who traveled to social environments which are permissive of smoking. The current study involved a quasi-experimental design examining 199 (52% men, mean age 24.27, SD = 1.05 years at time 1) young adults, before, during and following a backpacking experience of at least six months. Regression analyses was used to examine the association between smoking and symptoms of depression and anxiety over time. Relative to smoking levels before the journey, a significant transient increase in smoking was found during the journey. The increase in smoking during the journey predicted increases in both depressive and anxiety symptoms following the journey. The reverse direction models were not significant. Our study suggests that social contexts which are permissive of smoking, such as backpacking, increase young adult smoking behavior. Mood symptoms did not contribute to the observed increase in smoking behavior but, inversely, increases in smoking contributed to heightened mood symptoms. Additional longitudinal studies are needed to explore the role that smoking behavior plays in young adults' mental health.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".