Evidence map›Paper›PMID 38664623›Full record

ArticleBMC psychiatry2024

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

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 and 13 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Firoj Al-MamunCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh. firojphiju@gmail.com.ORCID 0000-0003-4611-9624
Md Emran HasanCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0000-0003-0221-1090
Nahida Bintee MostofaCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0009-5963-9371
Marzia AktherDepartment of Geography and Environment, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0009-0004-1933-1317
Tahnin MashrubaCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0002-4138-1279
Mohammad ArifCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0003-6182-7810
Amatul Haque ChaahatCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0001-4823-2885
Anha Bushra SalamDepartment of Pharmacy, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Maksuda AkterDepartment of Marketing, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0009-0002-1409-1786
Md Al Asif AbedinDental Unit, Sher-E-Bangla Medical College, Barisal, Bangladesh.
Md Imtiaj Ahmad BulbulCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0003-8384-4101
Md Shoeb AdnanDepartment of Audiology and Speech Language Pathology, Bangladesh University of Professionals, Dhaka, Bangladesh.ORCID 0009-0004-9092-7797
Md Shafiul IslamDepartment of Agriculture, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Mst Shauda AhmedCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0007-1871-4430
Md Sultan Mahmud ShahinDepartment of Biotechnology and Genetic Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0009-0004-5347-0679
Saiful IslamDepartment of Public Administration, Begum Rokeya University, Rangpur, Bangladesh.ORCID 0009-0002-3886-4069
Mumtaz Mohammed HussainCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0006-5162-5854
Abdullah Al HabibCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0009-0009-3508-8093
Moneerah Mohammad ALmerabDepartment of Psychology, College of Education and Human Development, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID 0000-0003-4987-0309
David GozalJoan C. Edwards School of Medicine, Marshall University, 25701, Huntington, WV, USA. gozal@marshall.edu.ORCID 0000-0001-8195-6036
Mohammad MuhitDepartment of Public Health, University of South Asia, Dhaka, Bangladesh.ORCID 0000-0002-3244-957X
Nitai RoyDepartment of Biochemistry and Food Analysis, Patuakhali Science and Technology University, Patuakhali, Bangladesh.ORCID 0000-0002-8454-6128
Mohammed A MamunCHINTA Research Bangladesh, Savar, Dhaka, 1342, Bangladesh.ORCID 0000-0002-1728-8966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsData 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Geographic Information SystemsInternet Addiction DisorderStudentsAdolescentAdultBangladeshBehavior, AddictiveCOVID-19Cross-Sectional StudiesFemaleHumansMalePrevalenceSurveys and QuestionnairesUniversitiesYoung AdultDigital addictionDigital mediaMental healthSocial media addictionStudents

Identifiers

PMID38664623
PMCPMC11044373

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.