Al-Mamun Firoj, Mamun Mohammed A, ALmerab Moneerah Mohammad, Islam Johurul, Gozal David, Muhit Mohammad
Department of Public Health, University of South Asia, Dhaka, Bangladesh.
CHINTA Research Bangladesh, Savar, Bangladesh.
BJPsych Open. 2025 Mar 20;11(2):e55. doi: 10.1192/bjo.2025.10.
Digital addiction among adolescents is an escalating concern with profound psychological implications, yet validated tools to measure it and studies exploring its relationship remain limited.
To validate the Bangla Digital Addiction Scale for Teenagers (Bangla DAST) and identify factors of digital addiction among Bangladeshi adolescents.
Using a two-stage stratified cluster sampling method, data from 1496 adolescents in Bangladesh were collected and analysed using non-parametric tests, Spearman correlations and multiple regression models.
The two-factor structure, encompassing attachment to digital devices (Factor 1) and compulsive use in different places (Factor 2) was supported by confirmatory factor analysis (comparative fit index 0.97, Tucker-Lewis index 0.95, root mean square error of approximation 0.06 [90% CI: 0.056-0.07] and standardised root mean square residual 0.048). McDonald's omega was 0.81 for the total scale, 0.77 for Factor 1 and 0.63 for Factor 2. Convergent validity was supported by significant associations between digital addiction and psychological symptoms. Factors of digital addiction included age ( = 0.517, = 0.020), academic grade ( = 0.737, = 0.021), depression ( = 0.334, < 0.001), anxiety ( = 0.400, < 0.001) and insomnia ( = 0.504, < 0.001). In contrast, female gender ( = -1.250, = 0.001), not sleeping alone ( = -0.846, = 0.029) and reduced smartphone usage ( = -1.895, < 0.001) were associated with lower digital addiction scores. The model accounted for 23.1% of the variance in digital addiction.
The Bangla DAST appears to be a psychometrically valid and reliable tool and can be used for further studies assessing digital addiction among Bangladeshi adolescents. The study highlights the need for targeted preventive measures, particularly focusing on at-risk groups.
青少年数字成瘾问题日益严重，具有深远的心理影响，但用于测量该问题的有效工具以及探索其关系的研究仍然有限。
验证孟加拉国青少年数字成瘾量表（Bangla DAST），并确定孟加拉国青少年数字成瘾的因素。
采用两阶段分层整群抽样方法，收集了孟加拉国1496名青少年的数据，并使用非参数检验、斯皮尔曼相关性分析和多元回归模型进行分析。
验证性因素分析支持了两因素结构，即对数字设备的依恋（因素1）和在不同场所的强迫使用（因素2）（比较拟合指数0.97，塔克-刘易斯指数0.95，近似均方根误差0.06 [90%置信区间：0.056 - 0.07]，标准化均方根残差0.048）。量表总分的麦克唐纳ω系数为0.81，因素1为0.77，因素2为0.63。数字成瘾与心理症状之间的显著关联支持了聚合效度。数字成瘾的因素包括年龄（β = 0.517，p = 0.020）、学业成绩（β = 0.737，p = 0.021）、抑郁（β = 0.334，p < 0.001）、焦虑（β = 0.400，p < 0.001）和失眠（β = 0.504，p < 0.001）。相比之下，女性（β = -1.250，p = 0.001）、不独自睡觉（β = -0.846，p = 0.029）和减少智能手机使用（β = -1.895，p < 0.001）与较低的数字成瘾得分相关。该模型解释了数字成瘾变异的23.1%。
Bangla DAST似乎是一种心理测量学上有效且可靠的工具，可用于进一步评估孟加拉国青少年数字成瘾的研究。该研究强调了有针对性的预防措施的必要性，特别是针对高危人群。
