Article Sidebar
Main Article Content
Abstract
Introduction: Bullying victimization among adults is a pervasive problem with significant mental health implications, including depression, anxiety, and even suicidal ideation. Early detection of individuals at risk is crucial for timely intervention and support. This study aimed to develop and validate a predictive scoring system for bullying victimization in Indonesian adults.
Methods: A cross-sectional study was conducted with 1,500 Indonesian adults aged 18-55 years. Data were collected using validated questionnaires, including the Indonesian Workplace Bullying Scale, the Kessler Psychological Distress Scale (K10), and the Rosenberg Self-Esteem Scale. Sociodemographic information and history of adverse childhood experiences were also collected. Logistic regression analysis was used to identify predictors of bullying victimization and develop a predictive scoring system. The model's performance was evaluated using receiver operating characteristic (ROC) curve analysis.
Results: The prevalence of bullying victimization in the sample was 18.7%. Significant predictors included female gender, younger age, lower socioeconomic status, history of childhood trauma, low self-esteem, and high psychological distress. The predictive scoring system demonstrated good discriminatory ability, with an area under the ROC curve (AUC) of 0.82 (95% CI: 0.79-0.85).
Conclusion: This study provides a validated predictive scoring system for identifying Indonesian adults at risk of bullying victimization. This tool can assist mental health professionals, employers, and policymakers in implementing targeted prevention and intervention programs to mitigate the adverse mental health consequences associated with bullying.
Keywords
Article Details
As our aim is to disseminate original research article, hence the publishing right is a necessary one. The publishing right is needed in order to reach the agreement between the author and publisher. As the journal is fully open access, the authors will sign an exclusive license agreement.
The authors have the right to:
- Share their article in the same ways permitted to third parties under the relevant user license.
- Retain copyright, patent, trademark and other intellectual property rights including research data.
- Proper attribution and credit for the published work.
For the open access article, the publisher is granted to the following right.
- The non-exclusive right to publish the article and grant right to others.
- For the published article, the publisher applied for the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
