Determining the Correlation between Tobacco Dependence Severity and Internet Gaming Disorder

Authors : Serkan Köksoy, Belkıs Can

Pages : 1-6

View : 34 | Download : 10

Publication Date : 2022-03-23

Article Type : Research

Abstract :Introduction and Objective: Internet gaming disorder and tobacco dependence are important and current public health problems. The objective of our research is to indicate the correlation between internet gaming disorder and tobacco dependence. Participant and Method: This study was designed as a descriptive-cross sectional study. The data of the study were collected in Burdur province between April-August 2021. The sociodemographic questions of the research were formed by the authors by compiling the current literature. Results: Of the total 361 people participating in the study. The age average of the participants was 29.1±8.98 years, and 190 (52.6%) participants were male. Fagerström Test for Nicotine Dependence mean was 3.72±2.73 points, the mean of heaviness of smoking index was 2.16±1.77 points, and internet gaming disorder short form nine items mean was 16.73±89 points. The correlation between Fagerström Test for Nicotine Dependence, heaviness of smoking index and internet gaming disorder short form nine items was found to be positive and weak (0.10 and 0.09, respectively). Conclusion: Both internet gaming disorder and tobacco dependence are important public health problems. It is important to indicate which epidemiological parameters these problems correlate with. This study was conducted for this purpose and the correlation between internet gaming disorder and Fagerström Test for Nicotine Dependence as well as heaviness of smoking index was found to be positive and weak. Other descriptive parameters were found to be compatible with the literature. In order to explain the findings of this study more precisely, we believe that it will be beneficial to work particularly on homogeneous samples.
Keywords : Internet Addiction Disorder, Tobacco Use Disorder, Cross-Sectional Studies, Population, Correlation of Data