Testing the bidirectional associations between vaping and changing eating to manage weight and shape in a large Canadian adolescent cohort
Bibliographic record
Abstract
Objective Vaping among adolescents has surged in recent years, underscoring the need to identify intentions and motivating factors behind vaping. While weight management behaviours have been associated with vaping, the largely cross-sectional evidence precludes understanding of how these behaviours may relate to and reinforce each other over time. This study explored the bidirectional associations between vaping and changed eating to manage weight and shape over three years of adolescence. Method Adolescents from the [deidentified] study (N = 8,960, Mage = 13.8 (SD = 1.1), 55.5% cisgender girls) completed self-report surveys annually for three years (T1 2020/2021, T2 2021/2022, T3 2022/2023). Data were analyzed using random-intercept cross-lagged panel models with full information maximum likelihood. Results Increases in vaping were noted over time (20.9% at T1, 40.0% at T3), and 30% of adolescents were changing their eating to manage their weight/shape each year. Weak but significant associations were generally observed, such that cisgender girls who changed their eating to manage weight/shape engaged in more vaping the following year (βT1-T2 = .05, βT2-T3 =.05). Conversely, cisgender girls and boys with a higher vaping frequency reported more days of changing eating to manage weight/shape one year later (βT1-T2 = .02 and .04, βT2-T3 =.05 and .06). Conclusions The bidirectional relationship between vaping and weight-related eating behaviours underscores the value of addressing these habits as interconnected behaviors, informing the development of targeted public health policies, preventative measures, and intervention strategies to support health and reduce the adoption of vaping among adolescents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".