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

Autor: 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
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: BMC Psychiatry, Vol 24, Iss 1, Pp 1-16 (2024)
Druh dokumentu: article
ISSN: 1471-244X
DOI: 10.1186/s12888-024-05737-9
Popis: 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.
Databáze: Directory of Open Access Journals
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