Exploring the association between internalized weight bias and mental health among Canadian adolescents
Bibliographic record
Abstract
BACKGROUND: Internalized weight bias (IWB) has been identified as a correlate of higher depressive and anxiety symptoms in adolescents with higher weights. However, there has been limited investigation into how IWB relates to positive mental health and whether these associations differ across genders. OBJECTIVES: To examine the associations between IWB and mental health (depression, anxiety, flourishing) in adolescents with higher weights, and to test the potential moderating role of gender. METHODS: Canadian adolescents with higher weights (N = 7538, 60% boys, 36% girls, 4% gender diverse, ages 12-19) from the COMPASS study completed a survey during the 2021-2022 school year. Data were analysed using generalized linear models. RESULTS: Highest IWB and poorest mental health were noted within gender diverse adolescents, followed by girls then boys. Gender moderated the relationship between higher IWB and higher depression, higher anxiety and lower flourishing, with the strongest relationships noted among girls. CONCLUSION: IWB interventions should be tailored to gender subgroups that may be particularly vulnerable to maladaptive mental health outcomes associated with IWB. System-level changes that mitigate perpetuation of weight bias and discrimination which lead to IWB are also essential, particularly for girls.
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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 | 0.004 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".