{"title":"Internet Addiction Disorder and its Associated Factors among 15-19-Year-Old Adolescents in Colombo District, Sri Lanka","authors":"Gayan Ariyadasa, C. De Silva, D. Jayawardane","doi":"10.54536/ajiri.v1i2.792","DOIUrl":null,"url":null,"abstract":"Internet addiction disorder is growing as a potentially problematic condition parallel to existing behavioral disorders, especially among adolescents. Nonetheless, the condition is widespread and problematic, limited scientific evidence is available on the prevalence, diagnosis, risk factors, prevention, and efficacy of the treatment globally as well as locally. The objective of this study was to determine the prevalence and associated factors of Internet addiction disorder among 15-19-year-old adolescents in Colombo district. Internet Addiction Test (IAT) developed by Young (1998) was adapted, translated, and validated for this study. A school-based descriptive cross-sectional study was conducted on 1351 school-going adolescents by the multi-stage stratified cluster sampling method. A self-administered questionnaire was used for the data collection and the data analysis was done using the SPSS-21 version. Initial bivariate analysis was followed up with Multivariate Logistic Regression analysis to determine the associated factors of Internet addiction disorder. The prevalence of Internet addiction disorder among adolescents was 17.2% (95% CI: 15.2-19.3). Male sex (AOR=2.27;95% CI:1.27-4.07), excessive use of social media (AOR=4.32; 95% CI:2.12-8.80), lack of engagement in outdoor sports(AOR=5.4; 95% CI:2.49-11.73), unemployed mother (AOR=2.06;95% CI:1.40-3.04), excessive engagement of internet gaming (AOR=1.94;95% CI:1.34-2.82), excessive internet usage time per day for nonacademic activities (AOR=2.59; 95%CI:1.71-3.91), higher duration of internet use in years (AOR=2.64;95% CI:1.80-3.85), and no excessive internet use by the parents (AOR=0.46; 95% CI:0.30-0.70) were the statistically significant associated factors. The prevalence of Internet addiction disorder among was within the range The study findings will aid the policymakers and administrators in the prevention, diagnosis, and management of Internet addiction disorder among this aged group adolescents.","PeriodicalId":393771,"journal":{"name":"American Journal of Interdisciplinary Research and Innovation","volume":"247 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Interdisciplinary Research and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54536/ajiri.v1i2.792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Internet addiction disorder is growing as a potentially problematic condition parallel to existing behavioral disorders, especially among adolescents. Nonetheless, the condition is widespread and problematic, limited scientific evidence is available on the prevalence, diagnosis, risk factors, prevention, and efficacy of the treatment globally as well as locally. The objective of this study was to determine the prevalence and associated factors of Internet addiction disorder among 15-19-year-old adolescents in Colombo district. Internet Addiction Test (IAT) developed by Young (1998) was adapted, translated, and validated for this study. A school-based descriptive cross-sectional study was conducted on 1351 school-going adolescents by the multi-stage stratified cluster sampling method. A self-administered questionnaire was used for the data collection and the data analysis was done using the SPSS-21 version. Initial bivariate analysis was followed up with Multivariate Logistic Regression analysis to determine the associated factors of Internet addiction disorder. The prevalence of Internet addiction disorder among adolescents was 17.2% (95% CI: 15.2-19.3). Male sex (AOR=2.27;95% CI:1.27-4.07), excessive use of social media (AOR=4.32; 95% CI:2.12-8.80), lack of engagement in outdoor sports(AOR=5.4; 95% CI:2.49-11.73), unemployed mother (AOR=2.06;95% CI:1.40-3.04), excessive engagement of internet gaming (AOR=1.94;95% CI:1.34-2.82), excessive internet usage time per day for nonacademic activities (AOR=2.59; 95%CI:1.71-3.91), higher duration of internet use in years (AOR=2.64;95% CI:1.80-3.85), and no excessive internet use by the parents (AOR=0.46; 95% CI:0.30-0.70) were the statistically significant associated factors. The prevalence of Internet addiction disorder among was within the range The study findings will aid the policymakers and administrators in the prevention, diagnosis, and management of Internet addiction disorder among this aged group adolescents.