Online Gambling Patterns and Predictors of Problem Gambling Among Korean Adolescents During the COVID-19 Pandemic: A Cross-sectional Study
10.1016/j.anr.2024.01.002
- Author:
Young-Sil SOHN
1
;
Hyunmi SON
Author Information
1. College of Nursing, Pusan National University, Republic of Korea
- Publication Type:Research Article
- From:Asian Nursing Research
2024;18(1):20-27
- CountryRepublic of Korea
- Language:EN
-
Abstract:
Purpose:This study examined online gambling patterns among Korean adolescents during the COVID-19 pandemic and identified predictors of problem gambling based on a socio-ecological model.
Methods:It used nationally representative data from the 2020 National Survey on Youth Gambling Problems conducted by the Korea Center on Gambling Problems. This study selected a sample of 780 adolescents aged 13–18 years who reported having gambled online at least once in the last three months from the raw data of respondents. They were classified as the non-problem group and problem group according to the Gambling Problems Severity Scale (GPSS) of the Canadian Adolescent Gambling Inventory (CAGI). The predictive factors of problem gambling were analyzed by logistic regression analysis.
Results:The prevalence of problem gambling was 24.6 %. Its predictors included intrapersonal [male (odds ratios, OR = 1.67); gambling prior to COVID-19 (OR = 2.08)] and interpersonal factors [frequent gamblers in peers (OR = 4.34); peer pressure (OR = 2.34)]. Social factors, such as gambling in online community (OR = 5.60), sports betting (OR = 53.24), and lotteries (OR = 17.03) were associated with problem gambling.
Conclusions:The major predictors of problem gambling among adolescent online gamblers included peer gambling and specific types of gambling. To prevent problem gambling, strategies targeting peer groups are essential. In addition, nurses need to share with families, schools, communities, and policymakers that online gambling, such as lotteries and sports betting, are high-risk of adolescent problem gambling, and recommend them to collaborate for stricter regulatory measures.
