Dr AHORSU, Daniel Kwasi    博士
Research Assistant Professor
Department of Special Education and Counselling
(852) 2948 8590
(852) 2948 7794
10 Lo Ping Road, Tai Po, New Territories, Hong Kong
Scopus ID
Research Outputs

Journal Publications
Ahorsu, D. K., Potenza, M. N., Lin, C. Y., & Pakpour, A. H. (2024). Parental intention on getting children COVID-19 vaccinations: Invariance evaluation across parenting roles and COVID-19-like symptoms experiences among Iranians during the pandemic period. Human Vaccines and Immunotherapeutics, 20(1) https://doi.org/10.1080/21645515.2024.2325230
Han, Y. M., Chan, M. M., Choi, C. X., Law, M. C., Ahorsu, D. K., & Tsang, H. W. (2023). The neurobiological effects of mind–body exercise: A systematic review and meta-analysis of neuroimaging studies. Scientific Reports, 13(1) https://doi.org/10.1038/s41598-023-37309-4
Ahorsu, D. K., Adjorlolo, S., Nurmala, I., Kamolthip, R., Strong, C., & Lin, C.-Y. (2023). Problematic Porn Use and cross-cultural differences: A brief review. Current Addiction Reports, ., .. https://doi.org/10.1007/s40429-023-00505-3
Chen, S.-H., Chen, P.-J., Lee, C.-H., Wu, Y.-P., Ahorsu, DK., Griffiths, MD., Lin, C.-Y. (2023). Perceived stress mediating the association between mindfulness and resilience among registered nurses. Psychology Research and Behavior Management, 16, .. https://doi.org/10.2147/PRBM.S412918


Validation of Instruments Assessing Gaming Disorder for Youth: Gaming Disorder Questionnaire (GDT) and Gaming Disorder Scale for Adolescents (GADIS-AI)
Background:Previous studies found that there is insufficient psychometric evidence of instruments addressing gaming disorder (GD). Improving the psychometric tools could identify the defining characteristics of GD. Therefore, the validation of GD psychometric assessment could improve the GD diagnostic criteria.

Purpose: This study aims to investigate the validation of the psychometric properties for two instruments assessing GD (i.e., Gaming Disorder Questionnaire (GDT), and Gaming Disorder Scale for Adolescents (GADIS-A))

Methods: The study will be conducted using asurvey and university students will be the target population. Data collection will include demographics, GDT, GADIS-A, Internet Gaming Disorder Scale - short form (IGDS-SF9), Depression Anxiety Stress Scale - 21 (DASS-21), Fear of COVID-19 scale (FCV-19S), Nomophobia Questionnaire (NMP-Q), Bergen Social Media Addiction Scale (BSMAS), Smartphone Application Based Addiction Scale (SABAS). Descriptive analysis will be used to examine the participant’s characteristics. Chi-square, independent t-test, and ANOVA will be used to examine the differences in participant’s characteristics. For questionnaire validation, confirmatory factor analysis, internal consistency, and concurrent validity will be examined.

Expected Results: The result of this study will provide a greater potential for psychometric measurement of GD diagnostic criteria which are based on ICD-11. Additionally, the reliable and valid tools might improve the suitability of assessing the problem behaviour of GD.

Project Start Year: 2023, Principal Investigator(s): AHORSU, Daniel Kwasi