Psychometric validation of the Bangla Digital Addiction Scale for Teenagers and its associated factors among adolescents: MeLiSA study.

IF 3.5 3区医学 Q1 PSYCHIATRY BJPsych Open Pub Date : 2025-03-20 DOI:10.1192/bjo.2025.10

Firoj Al-Mamun, Mohammed A Mamun, Moneerah Mohammad ALmerab, Johurul Islam, David Gozal, Mohammad Muhit

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Abstract

Background: 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.

Aims: To validate the Bangla Digital Addiction Scale for Teenagers (Bangla DAST) and identify factors of digital addiction among Bangladeshi adolescents.

Methods: 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.

Results: 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 (b = 0.517, P = 0.020), academic grade (b = 0.737, P = 0.021), depression (b = 0.334, P < 0.001), anxiety (b = 0.400, P < 0.001) and insomnia (b = 0.504, P < 0.001). In contrast, female gender (b = -1.250, P = 0.001), not sleeping alone (b = -0.846, P = 0.029) and reduced smartphone usage (b = -1.895, P < 0.001) were associated with lower digital addiction scores. The model accounted for 23.1% of the variance in digital addiction.

Conclusions: 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.

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青少年孟加拉数字成瘾量表及其相关因素的心理测量学验证：MeLiSA研究。

背景：青少年的数字成瘾是一个日益严重的问题，具有深远的心理影响，但有效的测量工具和探索其关系的研究仍然有限。目的：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。方法：采用两阶段分层整群抽样方法，收集孟加拉国1496名青少年的数据，并使用非参数检验、Spearman相关性和多元回归模型进行分析。结果：验证性因子分析（比较拟合指数0.97，Tucker-Lewis指数0.95，均方根误差近似0.06 [90% CI: 0.056-0.07]，标准化均方根残差0.048）支持双因素结构，包括对数字设备的依恋（因子1）和强迫性使用（因子2）。麦当劳的ω在总量表中为0.81，因子1为0.77，因子2为0.63。趋同效度得到了数字成瘾与心理症状之间显著关联的支持。影响数字成瘾的因素包括年龄（b = 0.517, P = 0.020）、学业成绩（b = 0.737, P = 0.021）、抑郁（b = 0.334, P < 0.001）、焦虑（b = 0.400, P < 0.001）、失眠（b = 0.504, P < 0.001）。相比之下，女性（b = -1.250, P = 0.001）、不单独睡觉（b = -0.846, P = 0.029）和减少智能手机使用（b = -1.895, P < 0.001）与较低的数字成瘾得分相关。该模型解释了23.1%的数字成瘾差异。结论：孟加拉国DAST似乎是一种心理计量学上有效和可靠的工具，可用于进一步研究评估孟加拉国青少年的数字成瘾。这项研究强调了有针对性的预防措施的必要性，特别是关注高危人群。

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来源期刊

BJPsych Open Medicine-Psychiatry and Mental Health

CiteScore

6.30

自引率

3.70%

发文量

610

审稿时长

16 weeks

期刊介绍： Announcing the launch of BJPsych Open, an exciting new open access online journal for the publication of all methodologically sound research in all fields of psychiatry and disciplines related to mental health. BJPsych Open will maintain the highest scientific, peer review, and ethical standards of the BJPsych, ensure rapid publication for authors whilst sharing research with no cost to the reader in the spirit of maximising dissemination and public engagement. Cascade submission from BJPsych to BJPsych Open is a new option for authors whose first priority is rapid online publication with the prestigious BJPsych brand. Authors will also retain copyright to their works under a creative commons license.