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Record W4312917585 · doi:10.2196/35116

Impacts of GlobalConsent, a Web-Based Social Norms Edutainment Program, on Sexually Violent Behavior and Bystander Behavior Among University Men in Vietnam: Randomized Controlled Trial

2022· article· en· W4312917585 on OpenAlexvenueno aff
Kathryn M. Yount, Yuk Fai Cheong, Irina Bergenfeld, Quach Thu Trang, Jessica M. Sales, Yiman Li, T. Minh

Bibliographic record

VenueJMIR Public Health and Surveillance · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProsocial behaviorBystander effectIntervention (counseling)Behavior changeRandomized controlled trialPoison controlMedicinePsychologyOddsSuicide preventionSocial norms approachDemographyClinical psychologyGerontologyLogistic regressionSocial psychologyEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Sexual violence against women is prevalent worldwide. Prevention programs that treat men as allies and integrate a bystander framework are emerging in lower income settings, but evidence of their effectiveness is conflicting. OBJECTIVE: This study aimed to test the impact of GlobalConsent on sexually violent behavior and prosocial bystander behavior among university men in Vietnam. METHODS: We used a double-blind, parallel intervention versus control group design with 1:1 randomization at 2 universities. A total of 793 consenting heterosexual or bisexual men aged 18-24 years who matriculated in September 2019 were enrolled and assigned randomly to GlobalConsent or an attention-control adolescent health education (AHEAD) program. GlobalConsent is an adapted, theory-based, 6-module web-based intervention with diverse behavior change techniques and a locally produced serial drama. AHEAD is a customized, 6-module attention-control program on adolescent health. Both the programs were delivered to computers and smartphones over 12 weeks. Self-reported sexually violent behaviors toward women in the prior 6 months and prosocial bystander behaviors in the prior year were measured at 0, 6, and 12 months. RESULTS: More than 92.7% (735/793) of men in both study arms completed at least 1 program module, and >90.2% (715/793) of men completed all 6 modules. At baseline, a notable percentage of men reported any sexually violent behavior (GlobalConsent: 123/396, 31.1%; AHEAD: 103/397, 25.9%) in the prior 6 months. Among men receiving GlobalConsent, the odds of reporting a high level (at least 2 acts) of sexually violent behavior at the endline were 1.3 times the odds at baseline. Among men receiving AHEAD, the corresponding odds ratio was higher at 2.7. The odds of reporting any bystander behavior at endline were 0.7 times the odds at baseline for GlobalConsent, and the corresponding odds ratio for AHEAD was lower at 0.5. CONCLUSIONS: Compared with a health attention-control condition, GlobalConsent has sustained favorable impacts on sexually violent behavior and prosocial bystander behavior among matriculating university men in Vietnam, who would otherwise face increasing risks of sexually violent behavior. GlobalConsent shows promise for national scale-up and regional adaptations. TRIAL REGISTRATION: ClinicalTrials.gov NCT04147455; https://clinicaltrials.gov/ct2/show/NCT04147455. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12889-020-09454-2.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.347
Teacher spread0.318 · 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 designRandomized trial
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

Citations25
Published2022
Admission routes1
Has abstractyes

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