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Record W4386979747 · doi:10.1111/josh.13395

Relationships Between Violent Sexual Victimization and Muscle‐Building Exercise among Adolescents from the 2019 Youth Risk Behavior Survey

2023· article· en· W4386979747 on OpenAlexaff
Kyle T. Ganson, Alexander Testa, Rachel F. Rodgers, Dylan B. Jackson, Jason M. Nagata

Bibliographic record

VenueJournal of School Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoison controlInjury preventionPsychologySexual violenceConfidence intervalRelative riskDemographySuicide preventionClinical psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: This study aimed to investigate the association between violent sexual victimization and muscle-building exercise among adolescents. METHODS: Cross-sectional data from the 2019 National Youth Risk Behavior Survey (N = 8408) were analyzed. Two indicators of non-dating-related sexual violence (lifetime, past 12 months), along with one indicator of adolescent sexual violence (past 12 months), were assessed. Days of muscle-building in the past week were reported. Multinomial logistic regression analyses were conducted to determine the associations between the three violent sexual victimization variables and muscle-building exercise. RESULTS: Among the sample (50.3% girls), lifetime violent sexual victimization (relative risk ratio [RRR] 1.87, 95% confidence interval [CI] 1.29 to 2.72), past 12-month violent sexual victimization (RRR 1.60, 95% CI 1.15 to 2.22), and past 12-month sexual dating violence (RRR 1.60, 95% CI 1.03 to 2.51) were associated greater relative risk of high engagement (ie, 6 to 7 days) in muscle-building exercise relative to no engagement. CONCLUSIONS: A history of violent sexual victimization is associated with greater involvement in muscle-building exercise, particularly among adolescent girls. Engagement in muscle-building exercise in relation to violent sexual victimization may be a means of emotion regulation and occur due to body dissatisfaction resulting from experiencing violence.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.124
GPT teacher head0.378
Teacher spread0.253 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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