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Published in: BMC Psychiatry 1/2024

Open Access 01-12-2024 | Addiction | Research

Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study

Authors: Firoj Al-Mamun, Md Emran Hasan, Nahida Bintee Mostofa, Marzia Akther, Tahnin Mashruba, Mohammad Arif, Amatul Haque Chaahat, Anha Bushra Salam, Maksuda Akter, Md Al Asif Abedin, Md. Imtiaj Ahmad Bulbul, Md Shoeb Adnan, Md. Shafiul Islam, Mst. Shauda Ahmed, Md. Sultan Mahmud Shahin, Saiful Islam, Mumtaz Mohammed Hussain, Abdullah Al Habib, Moneerah Mohammad ALmerab, David Gozal, Mohammad Muhit, Nitai Roy, Mohammed A. Mamun

Published in: BMC Psychiatry | Issue 1/2024

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Abstract

Background

The surge in digital media consumption, coupled with the ensuing consequences of digital addiction, has witnessed a rapid increase, particularly after the initiation of the COVID-19 pandemic. Despite some studies exploring specific technological addictions, such as internet or social media addiction, in Bangladesh, there is a noticeable gap in research focusing on digital addiction in a broader context. Thus, this study aims to investigate digital addiction among students taking the university entrance test, examining its prevalence, contributing factors, and geographical distribution using GIS techniques.

Methods

Data from a cross-sectional survey were collected from a total of 2,157 students who were taking the university entrance test at Jahangirnagar University, Bangladesh. A convenience sampling method was applied for data collection using a structured questionnaire. Statistical analyses were performed with SPSS 25 Version and AMOS 23 Version, whereas ArcGIS 10.8 Version was used for the geographical distribution of digital addiction.

Results

The prevalence of digital addiction was 33.1% (mean score: 16.05 ± 5.58). Those students who are attempting the test for a second time were more likely to be addicted (42.7% vs. 39.1%), but the difference was not statistically significant. Besides, the potential factors predicted for digital addiction were student status, satisfaction with previous mock tests, average monthly expenditure during the admission test preparation, and depression. No significant difference was found between digital addiction and districts. However, digital addiction was higher in the districts of Manikganj, Rajbari, Shariatpur, and Chittagong Hill Tract areas, including Rangamati, and Bandarban.

Conclusions

The study emphasizes the pressing need for collaborative efforts involving educational policymakers, institutions, and parents to address the growing digital addiction among university-bound students. The recommendations focus on promoting alternative activities, enhancing digital literacy, and imposing restrictions on digital device use, which are crucial steps toward fostering a healthier digital environment and balanced relationship with technology for students.
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Literature
9.
go back to reference Griffiths MD, Mamun MA et al. Internet addiction among young Bangladeshi adults: critical commentary on Hassan. (2020). Journal of the Egyptian Public Health Association 2020;95:1–4. Griffiths MD, Mamun MA et al. Internet addiction among young Bangladeshi adults: critical commentary on Hassan. (2020). Journal of the Egyptian Public Health Association 2020;95:1–4.
23.
go back to reference Kline RB. Principles and practice of structural equation modeling. 5th ed. New York: Guilford Press; 2023. Kline RB. Principles and practice of structural equation modeling. 5th ed. New York: Guilford Press; 2023.
25.
go back to reference Tabachnick BG, Fidell LS. Using Multivariate statistics. 7th ed. Massachusetts: Pearson; 2019. Tabachnick BG, Fidell LS. Using Multivariate statistics. 7th ed. Massachusetts: Pearson; 2019.
26.
go back to reference Field A. Discovering statistics using IBM SPSS statistics. 5th ed. London: SAGE; 2017. Field A. Discovering statistics using IBM SPSS statistics. 5th ed. London: SAGE; 2017.
Metadata
Title
Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study
Authors
Firoj Al-Mamun
Md Emran Hasan
Nahida Bintee Mostofa
Marzia Akther
Tahnin Mashruba
Mohammad Arif
Amatul Haque Chaahat
Anha Bushra Salam
Maksuda Akter
Md Al Asif Abedin
Md. Imtiaj Ahmad Bulbul
Md Shoeb Adnan
Md. Shafiul Islam
Mst. Shauda Ahmed
Md. Sultan Mahmud Shahin
Saiful Islam
Mumtaz Mohammed Hussain
Abdullah Al Habib
Moneerah Mohammad ALmerab
David Gozal
Mohammad Muhit
Nitai Roy
Mohammed A. Mamun
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Psychiatry / Issue 1/2024
Electronic ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-024-05737-9

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