ABSTRACT
INTRODUCTION: Problematic usage of the internet (PUI) is perhaps one of the most frequently studied phenomena of the 21st century receiving increasing attention in both scientific literature and the media. Despite intensive research there have been relatively few meaningful studies among elementary school students in Hungary and worldwide, who may be considered as a high-risk population with regard to problematic internet use. The aim of our study was to carry out a complex research focusing on the prevalence and risk factors of PUI among elementary school children aged 10-15 years (Grade 5-8). METHODS: Demographics included were gender, age, place of stay, type of residence, family type, parental education, start of internet use, used devices, daily internet use, purpose of internet use, internet accounts, ways of keeping in touch with friends and sporting activities. PUI was evaluated using the paper-based version of the Potentially Problematic Use of the Internet Questionnaire. RESULTS: Overall, 2000 paper-based questionnaires were successfully delivered and the final analysis included 1168 responses (overall response rate 58.4%). Mean age was 12.55 ± 1.24 years. Female gender (OR = 2.760, p = 0,006, CI 95% 0.065 to 0.384), younger age (11-12 years) (OR = 3.812, p < 0.001, 95% CI: 1.747-4.731), early exposure to the internet (OR = 3.466, p = 0.001, 95% CI 1.535-5.446), living in a small village (OR = 1.081, p = 0.002, 95% CI 1.041-1.186) urgency to answer online (OR = 4.677, p < 0.001, 95% CI: 2.714-6.639), decreased frequency of personal contact with friends (OR = 2.897, p = 0.004, 95% CI: 1.037-1.681), spending more than 6 h online (OR = 12.913, p < 0.001, 95% CI: 10.798-14.892), morning and nighttime internet use (OR = 3.846, p < 0.001, CI 95% 1.886-5.810) and never doing any sports (OR = 2.016, p = 0.044, 95% CI: 1.050-3.354) were independently associated with problematic internet use. CONCLUSIONS: Based on the results of our questionnaire survey more than 10% seemed to be problematic users in our study population, which is a relatively high rate. Early exposure to the internet as well as younger age were strongly related to this phenomenon. Duration of being online as well as daily time interval of internet use are important predisposing factors. Scarcely studied social factors such as being online at the expense of personal relationships and the lack of physical activity should be payed more attention to prevent the development of PUI.
Subject(s)
Behavior, Addictive , Schools , Child , Humans , Female , Adolescent , Cross-Sectional Studies , Hungary , Students , Surveys and Questionnaires , Internet , Behavior, Addictive/epidemiologyABSTRACT
Introduction: The internet has become a part of everyday life, and during the COVID-19 pandemic the rate of internet use has raised even higher, which increases the possibility of compulsive and problematic use leading to the acceptance of online misbeliefs and conspiration theories. This cross-sectional study aimed to explore the relationship between COVID-19-related misconceptions and internet addiction among adult recreational online gamers. Methods: A sample of 1671 recreational video game users completed the online survey (male: n = 1522 (91.08%), mean age = 21.83, SD = 4.18; female: n = 149 (8.91%), mean age = 24.33, SD = 8.38). Demographic questions, risk factors and health-related questions, internet use and addiction were measured alongside a short questionnaire about common COVID-19-related topics, such as its origin and risk of infection. Results: Out of all participants 248 (14.8%) answered all the COVID-19-related questions properly, thus having no misconceptions, while 545 (32.6%) had one wrong answer, 532 (31.8%) had 2 wrong answers, 251 (15.0%) had 3 wrong answers, 78 (4.7%) had 4 wrong answers and 17 (1.0%) had 5 wrong answers. Significant factors to a higher number of COVID-misconceptions were time spent studying (χ2 (35,1671) = 63.86, p = 0.002), marital status (χ2 (15,1671) = 30.65 p = 0.01) and secondary employment (χ2 (51,671) = 14.88, p = 0.01). Although 17.1% of the participants reached the threshold score for internet addiction, the predictors of COVID-19 misconceptions were marital status (ß = -0.06, p = 0.01) and time spent studying (ß = 0.05, p = 0.03), while neither daily internet use, internet addiction scores or risk factors predicted these misconceptions in a linear regression model. Discussion: Our study concludes that Internet addiction did not directly influence misconceptions about the COVID-19 pandemic in this population despite the surprisingly high rate of problematic users.