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Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study.
Al-Mamun, Firoj; Hasan, Md Emran; Mostofa, Nahida Bintee; Akther, Marzia; Mashruba, Tahnin; Arif, Mohammad; Chaahat, Amatul Haque; Salam, Anha Bushra; Akter, Maksuda; Abedin, Md Al Asif; Bulbul, Md Imtiaj Ahmad; Adnan, Md Shoeb; Islam, Md Shafiul; Ahmed, Mst Shauda; Shahin, Md Sultan Mahmud; Islam, Saiful; Hussain, Mumtaz Mohammed; Al Habib, Abdullah; ALmerab, Moneerah Mohammad; Gozal, David; Muhit, Mohammad; Roy, Nitai; Mamun, Mohammed A.
Afiliação
  • Al-Mamun F; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh. firojphiju@gmail.com.
  • Hasan ME; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh. firojphiju@gmail.com.
  • Mostofa NB; Department of Public Health, University of South Asia, Dhaka, Bangladesh. firojphiju@gmail.com.
  • Akther M; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
  • Mashruba T; Software College, Northeastern University, Shenyang, China.
  • Arif M; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
  • Chaahat AH; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
  • Salam AB; Department of Geography and Environment, Jahangirnagar University, Savar, Dhaka, Bangladesh.
  • Akter M; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
  • Abedin MAA; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
  • Bulbul MIA; Department of Ayurvedic Medicine, Institute of Teaching & Research in Ayurveda, Jamnagar, Gujarat, India.
  • Adnan MS; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
  • Islam MS; Dental Unit, Sir Salimullah Medical College, Mitford, Dhaka, Bangladesh.
  • Ahmed MS; Department of Pharmacy, Jahangirnagar University, Savar, Dhaka, Bangladesh.
  • Shahin MSM; Department of Marketing, Jahangirnagar University, Savar, Dhaka, Bangladesh.
  • Islam S; Dental Unit, Sher-E-Bangla Medical College, Barisal, Bangladesh.
  • Hussain MM; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
  • Al Habib A; Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.
  • ALmerab MM; Department of Audiology and Speech Language Pathology, Bangladesh University of Professionals, Dhaka, Bangladesh.
  • Gozal D; Department of Agriculture, Bangladesh Agricultural University, Mymensingh, Bangladesh.
  • Muhit M; CHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.
  • Roy N; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
  • Mamun MA; Department of Biotechnology and Genetic Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh.
BMC Psychiatry ; 24(1): 322, 2024 Apr 25.
Article em En | MEDLINE | ID: mdl-38664623
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Sistemas de Informação Geográfica / Transtorno de Adição à Internet Limite: Adolescent / Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Sistemas de Informação Geográfica / Transtorno de Adição à Internet Limite: Adolescent / Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article