Biswas Poly Rani, Ahammed Benojir, Rahman Md Shiafur, Nirob Byazid Mahin, Hossain Md Tanvir
Statistics Discipline, Science, Engineering & Technology School, Khulna University, Khulna 9208, Bangladesh.
Sociology Discipline, Social Science School, Khulna University, Khulna 9208, Bangladesh.
Heliyon. 2022 Jul 16;8(7):e09967. doi: 10.1016/j.heliyon.2022.e09967. eCollection 2022 Jul.
Globally, internet use has increased significantly during the COVID-19 pandemic, and internet addiction (IA) has become a severe public health issue. Therefore, this study aimed to assess IA prevalence among adults and identify its determinants during the COVID-19 pandemic in Bangladesh.
Using a cross-sectional design, this study recruited 608 participants through a self-administered online-based e-questionnaire. Young's internet addiction test (YIAT) of 20 items was used to assess the prevalence of IA among adults in Bangladesh. Bivariate and binary logistic regression analyses explored the factors influencing IA.
The overall prevalence of IA was 29.4% among adults during the COVID-19 pandemic. However, the addiction rate was 34.7% among participants under 20 years old. Tobacco smoking (AOR = 1.88, 95% CI 1.15-3.07) and spending more time on the internet during the COVID-19 pandemic (AOR = 2.06, 95% CI 1.08-3.94) were likely the reasons for IA among Bangladeshi adults. Participants aged over 24 years (AOR = 0.39, 95% CI 0.17-0.91), living in rural areas (AOR = 0.51, 95% CI 0.32-0.81), living away from family (AOR = 0.45, 95% CI 0.26-0.79), attached to physical activity (AOR = 0.35, 95% CI 0.24-0.52), and sleeping less than or equal 6 hours (AOR = 0.63, 95% CI 0.42-0.93) had a lower chance of IA during the COVID-19 pandemic.
This study has shown that the prevalence of IA was comparatively higher among younger participants during the COVID-19 pandemic. Smoking, long-time use of the internet, physical activity status, and sleeping duration were the most significant determinants of IA. Thus, raising awareness among the younger generation is the most important strategy to reduce IA. The findings of this study can be used to support health and educational organizations to design their programs, which will help prevent IA in Bangladesh during the COVID-19 pandemic.
在全球范围内,新冠疫情期间互联网使用显著增加,网络成瘾已成为一个严重的公共卫生问题。因此,本研究旨在评估孟加拉国成年人中网络成瘾的患病率,并确定新冠疫情期间其影响因素。
本研究采用横断面设计,通过基于网络的自填式电子问卷招募了608名参与者。使用包含20个条目的杨氏网络成瘾测试(YIAT)来评估孟加拉国成年人中网络成瘾的患病率。双变量和二元逻辑回归分析探讨了影响网络成瘾的因素。
在新冠疫情期间,成年人中网络成瘾的总体患病率为29.4%。然而,20岁以下参与者的成瘾率为34.7%。吸烟(调整后比值比[AOR]=1.88,95%置信区间[CI]1.15 - 3.07)以及在新冠疫情期间花更多时间上网(AOR = 2.06,95% CI 1.08 - 3.94)可能是孟加拉国成年人网络成瘾的原因。24岁以上的参与者(AOR = 0.39,95% CI 0.17 - 0.91)、生活在农村地区的参与者(AOR = 0.51,95% CI 0.32 - 0.81)、与家人分开居住的参与者(AOR = 0.45,95% CI 0.26 - 0.79)、热衷于体育活动的参与者(AOR = 0.35,95% CI 0.24 - 0.52)以及睡眠时间少于或等于6小时的参与者(AOR = 0.63,95% CI 0.42 - 0.93)在新冠疫情期间网络成瘾的可能性较低。
本研究表明,在新冠疫情期间,年轻参与者中网络成瘾的患病率相对较高。吸烟、长时间使用互联网、体育活动状况和睡眠时间是网络成瘾最重要的决定因素。因此,提高年轻一代的意识是减少网络成瘾的最重要策略。本研究结果可用于支持卫生和教育组织设计其项目,这将有助于在新冠疫情期间预防孟加拉国的网络成瘾。