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Record W3083548162 · doi:10.1016/j.jsxm.2020.08.007

Bullying Victimization and Sexual Behavior Among Adolescents Aged 12–15 Years From 53 Countries: A Global Perspective

2020· article· en· W3083548162 on OpenAlexaff
Lee Smith, Igor Grabovac, Louis Jacob, Guillermo F. López Sánchez, Lin Yang, Jae Il Shin, M H Sohn, Philip B. Ward, Daragh T. McDermott, Ai Koyanagi

Bibliographic record

VenueThe Journal of Sexual Medicine · 2020
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsSouth Health CampusAlberta Cancer FoundationUniversity of CalgaryAlberta Health Services
Fundersnot available
KeywordsSexual intercourseCondomPsychological interventionDemographyMedicineLogistic regressionYouth Risk Behavior SurveyYoung adultInjury preventionPsychologyPoison controlClinical psychologyPopulationEnvironmental healthPsychiatryGerontologyHuman immunodeficiency virus (HIV)Family medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Identifying correlates of sexual behavior among young adolescents is critical for preventing adverse outcomes linked to such behavior. AIM: This study examined the relationship of bullying victimization with sexual intercourse, multiple sexual partners, and non-condom use in adolescents aged 12-15 years across 53 countries. METHODS: Cross-sectional data from 145,342 adolescents aged 12-15 years participating in the Global School-based Student Health Survey 2003-2016 were analyzed. Data on bullying victimization were assessed by the question "During the past 30 days, on how many days were you bullied?" OUTCOMES: Data on several sexual behaviors were collected: (i) ever having had intercourse, among those who reported having had intercourse; (ii) multiple (≥2) lifetime sexual partners; and (iii) condom use in last sexual intercourse. RESULTS: Multivariable logistic regression analyses were used to assess the associations. The overall prevalence of any bullying in the past 30 days and lifetime sexual intercourse were 28.8% and 13.1%, respectively. Compared with those who were not bullied in the past 30 days, those who were bullied for 20-30 days were 2.08 (95% CI = 1.65-2.63), 1.70 (95% CI = 1.10-2.63), and 1.72 (95% CI = 1.12-2.67) times more likely to report sexual intercourse, non-condom use, and multiple sex partners, respectively. CLINICAL IMPLICATIONS: This study provides further evidence that bullying victimization is a global phenomenon and interventions are required to reduce its prevalence and unwanted consequences. STRENGTHS & LIMITATIONS: The main strength was the large sample of young adolescents across 53 countries. However, findings from the present study should be interpreted in light of its limitations. First, the study was cross-sectional in nature and thus the direction of the association cannot be established. Second, the data only included young adolescents who attend school. Third, data were self-reported and thus reporting bias may exist. Fourth, the measure of sexual activity used was not able to distinguish between penetrative and nonpenetrative sex. Fifth, adolescents who are victims of bullying may also be exposed to other types of violence such as child maltreatment and sexual assaults, for which data were not available. Finally, the present data set did not contain data on sexual orientation. CONCLUSION: These findings highlight the need for interventions either acting to educate about the potential negative consequences or to prevent risky sexual behavior in young adolescents who experience bullying victimization. Smith L, Grabovac I, Jacob L, et al. Bullying Victimization and Sexual Behavior Among Adolescents Aged 12-15 Years From 53 Countries: A Global Perspective. J Sex Med 2020;17:2148-2155.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.313
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2020
Admission routes1
Has abstractyes

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