Acharya Sonu, Adhikari Laxmi, Khadka Santosh, Paudel Shishir, Kaphle Maheshor
Department of Public Health, CiST College, Kathmandu 44600, Nepal.
J Addict. 2023 Apr 8;2023:8782527. doi: 10.1155/2023/8782527. eCollection 2023.
Internet has penetrated all processes of life and has become an unavoidable part of people's daily life. This widespread use of the Internet has resulted in significant concerns with regard to problematic Internet behaviours and related conditions. The aim of the study was to find out the prevalence of Internet addiction and its associated factors among undergraduate students in Kathmandu.
We included all together 344 undergraduate students from different colleges affiliated to Pokhara University for this cross-sectional study. We used self-administered questionnaire consisting of the Internet Addiction Test scale to assess the Internet addiction. We coded the data, entered it in Epi-Data 3.1 and transferred to IBM SPSS 25 for analysis. We applied bivariate and multivariate logistic regression analysis to identify factors associated with Internet addiction, and value <0.05 was considered as statistically significantt.
The prevalence of Internet addiction was found to be 29.90% (95% CI: 25.0-34.9). In the chi-squared test relationship with parents, parental control over the Internet use, perceived feeling of loneliness, and time spent on internet per day were found to be statistically associated ( < 0.05) with Internet addiction.
This study revealed nearly one-third of the Internet addiction among undergraduate students. Relationship with parents, parental control over the internet use, perceived loneliness feelings, and time spent on internet per day were significantly associated with Internet addiction along other factors. Therefore, it is important to raise awareness among young generation, parents, and teachers towards risk of Internet addiction.
互联网已渗透到生活的各个方面，成为人们日常生活中不可避免的一部分。互联网的这种广泛使用引发了对有问题的互联网行为及相关状况的重大关注。本研究的目的是了解加德满都本科生中网络成瘾的患病率及其相关因素。
我们纳入了博卡拉大学附属不同学院的344名本科生进行这项横断面研究。我们使用由网络成瘾测试量表组成的自填式问卷来评估网络成瘾情况。我们对数据进行编码，输入Epi-Data 3.1并转移到IBM SPSS 25进行分析。我们应用二元和多元逻辑回归分析来确定与网络成瘾相关的因素，P值<0.05被认为具有统计学意义。
发现网络成瘾的患病率为29.90%（95%置信区间：25.0-34.9）。在卡方检验中，与父母的关系、父母对互联网使用的控制、孤独感以及每天上网时间被发现与网络成瘾在统计学上相关（P<0.05）。
本研究显示近三分之一的本科生存在网络成瘾问题。与父母的关系、父母对互联网使用的控制、孤独感以及每天上网时间与网络成瘾以及其他因素显著相关。因此，提高年轻一代、父母和教师对网络成瘾风险的认识很重要。
