Pathways from bullying victimization to suicidal thoughts among urban African American adolescents: Implications for nurse practitioners
Bibliographic record
Abstract
PURPOSE: Children and adolescents who are victimized by their peers are at an elevated risk of suicidal thoughts and behaviors. Bullying and suicide are major public health concerns; however, studies have not fully addressed the link between peer victimization and suicidal behavior among urban African American youth. The current study proposed and explored the pathways from peer victimization to suicidal thoughts via internalizing behaviors (i.e., low self-esteem, depression, and hopelessness). DESIGN AND METHODS: The sample consisted of 638 African American adolescents (aged 12-22) from low-income communities in Chicago's Southside. A path model using the structural equation model was employed, controlling for biological sex, age, and government assistance. RESULTS: The study found that victims of bullying are likely to develop low self-esteem and depression, and depression can contribute to feelings of hopelessness, thereby increasing suicidal risks. CONCLUSIONS: Understanding the pathways from bullying victimization to suicidal thoughts is beneficial for nurse practitioners who assess and provide services and treatment to adolescents. PRACTICE IMPLICATIONS: Because of limited resources in urban schools, anti-bullying programs need to be cost-effective.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".