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孟加拉国学生的网络使用问题:社会人口因素、抑郁、焦虑和压力的作用。

Problematic internet use in Bangladeshi students: The role of socio-demographic factors, depression, anxiety, and stress.

机构信息

Department of Public Health & Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh; Undergraduate Research Organization, Savar, Dhaka, Bangladesh.

Department of Public Health & Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh; Undergraduate Research Organization, Savar, Dhaka, Bangladesh.

出版信息

Asian J Psychiatr. 2019 Aug;44:48-54. doi: 10.1016/j.ajp.2019.07.005. Epub 2019 Jul 9.

DOI:10.1016/j.ajp.2019.07.005
PMID:31323534
Abstract

Problematic Internet Use (PIU) has become a concern for public mental health across the globe. However, there are few studies assessing PIU in Bangladesh. The present cross-sectional study estimated the prevalence rate of PIU and its associated risk factors among 405 university students in Bangladesh between June and July 2018. The measures included sociodemographic questions, internet and health-related variables, the Internet Addiction Test (IAT) and the Depression, Anxiety and Stress Scale (DASS-21). The prevalence of PIU was 32.6% among the respondents (cut-off score of ≥50 on the IAT). The prevalence of PIU was higher in males in comparison to females, although the difference was not statistically significant. Internet-related variables and psychiatric comorbidities were positively associated with PIU. From the unadjusted model, more frequent use of the internet and more time spent on the internet were identified as strong predictors of PIU, whereas the adjusted model showed depressive symptoms and stress only as strong predictors of PIU. It is hoped this preliminary study will facilitate further study on PIU along with other psychiatric disorders in Bangladesh.

摘要

网络成瘾问题(PIU)已成为全球公众心理健康关注的焦点。然而,在孟加拉国,评估 PIU 的研究很少。本横断面研究于 2018 年 6 月至 7 月期间在孟加拉国的 405 名大学生中评估了 PIU 的流行率及其相关危险因素。研究措施包括社会人口学问题、互联网和健康相关变量、网络成瘾测试(IAT)和抑郁、焦虑和压力量表(DASS-21)。在被调查者中,PIU 的患病率为 32.6%(IAT 得分≥50 为分界值)。与女性相比,男性的 PIU 患病率更高,但差异无统计学意义。与互联网相关的变量和精神共病与 PIU 呈正相关。在未调整模型中,发现更频繁地使用互联网和在互联网上花费更多时间是 PIU 的强烈预测因素,而调整模型仅显示抑郁症状和压力是 PIU 的强烈预测因素。希望这项初步研究将有助于在孟加拉国进一步研究 PIU 以及其他精神障碍。

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