Race/Ethnicity Inequities in the Association Between Movement Behaviors and Suicidal Thoughts/Ideation Among Adolescents
Bibliographic record
Abstract
OBJECTIVE: We aimed to analyze the associations between movement behaviors (physical activity, screen time, and sleep), independently and jointly, and suicidal thoughts/ideation among Brazilian adolescents according to race/ethnicity. METHODS: This cross-sectional study surveyed 4,081 adolescents aged 15-19 years (49.9% females) across all Brazilian geographic regions. Data were collected using a self-administered questionnaire. Within the sample, 31.0% (n = 1,264) self-reported as White and 69.0% (n = 2,817) as Black. Adolescents who declared one or more times/week suicidal thoughts/ideation were considered as a risk group. Accruing moderate-to-vigorous physical activity during leisure time, reduced recreational screen time, and good sleep quality were the exposures investigated. We evaluated both additive and multiplicative interactions between race/ethnicity and movement behaviors. Binary logistic regression was used to estimate the odds ratio (OR), marginal means effects, and 95% confidence intervals (95% CIs). RESULTS: Black adolescents who met 1 (OR: 0.34; [95% CI: 0.22-0.52]), 2 (OR: 0.17 [0.11-0.27]), or 3 (OR: 0.13 [0.07-0.26]), and White adolescents who met 1 (OR: 0.35 [0.21-0.57]), 2 (OR: 0.14 [0.08-0.26]), or 3 (OR: 0.11 [0.04-0.31]) of the movement behavior targets had lower odds of suicidal thoughts/ideation than Black adolescents who did not meet any of the movement behavior targets. Black adolescents who did not meet any of the movement behavior targets had higher suicidal thoughts/ideation odds than the other adolescent's groups. CONCLUSIONS: We identified an inverse association between meeting individuals and combinations of movement behavior targets with suicidal thoughts/ideation. Among Black adolescents who did not meet any targets, these associations were more evident.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".