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Record W3157251466 · doi:10.1111/jcap.12321

Pathways from bullying victimization to suicidal thoughts among urban African American adolescents: Implications for nurse practitioners

2021· article· en· W3157251466 on OpenAlexaff
Jeoung Min Lee, Jun Sung Hong, Stella M. Resko, A. Antonio González-Prendes, Dexter R. Voisin

Bibliographic record

VenueJournal of Child and Adolescent Psychiatric Nursing · 2021
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Toronto
FundersCenter for Health Administration Studies
KeywordsSuicide preventionHuman factors and ergonomicsPoison controlInjury preventionOccupational safety and healthPsychologyClinical psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.290
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Child and Adolescent Psychiatric NursingSame topicBullying, Victimization, and AggressionFrench-language works237,207