Department of Public Health & Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh; Founder & Director, Undergraduate Research Organization, Dhaka, Bangladesh.
International Gaming Research Unit, Nottingham Trent University, Nottingham, UK.
Psychiatry Res. 2019 Jan;271:628-633. doi: 10.1016/j.psychres.2018.12.039. Epub 2018 Dec 6.
Social media addiction has become an area of increasing research interest over the past few years. However, there has been no previous research on social media addiction in Bangladesh. The present pilot study is the first ever in Bangladesh to examine the relationship between one specific form of social media addiction (i.e., 'Facebook addiction') and its associated predictors. This present study comprised 300 students from the University of Dhaka (Bangladesh) who participated in a survey that included questions relating to socio-demographics, health and behavioral measures, and the Bergen Facebook Addiction Scale (BFAS), and the nine-item Patient Health Questionnaire (PHQ9). The prevalence of FA was 39.7% (cutoff score was ≥18 on the BFAS). Using a regression analysis, the risk of being addicted to Facebook was predicted by being single, having less involvement in physical activities, sleep disturbance (more or less than 6 to 7 h of sleep), time spent on Facebook (≥5 h per day), and depression symptoms. Based on the sample in the present study, the risk of Facebook addiction (as assessed using the BFAS) appears to be a significant issue among Bangladeshi students, and depression to be one of the main comorbid factors.
社交媒体成瘾在过去几年中成为研究热点。然而,孟加拉国以前没有关于社交媒体成瘾的研究。本初步研究是孟加拉国首次针对特定形式的社交媒体成瘾(即“Facebook 成瘾”)及其相关预测因素进行的研究。本研究包括来自达卡大学(孟加拉国)的 300 名学生,他们参与了一项调查,其中包括与社会人口统计学、健康和行为措施以及卑尔根 Facebook 成瘾量表(BFAS)和 9 项患者健康问卷(PHQ9)相关的问题。FA 的患病率为 39.7%(BFAS 得分≥18 为分界值)。使用回归分析,单身、较少参与体育活动、睡眠障碍(睡眠多于或少于 6 至 7 小时)、每天在 Facebook 上花费的时间(≥5 小时)和抑郁症状预测了对 Facebook 的成瘾风险。根据本研究中的样本,使用 BFAS 评估的 Facebook 成瘾风险似乎是孟加拉国学生的一个重大问题,而抑郁是主要的合并症因素之一。