Evidence map›Paper›PMID 36516198›Full record

ArticlePloS one2022

Psychometric properties of three online-related addictive behavior instruments among Bangladeshi school-going adolescents.

Md Saiful Islam, Israt Jahan, Muhammad Al Amin Dewan, Halley M Pontes, Kamrun Nahar Koly, Md Tajuddin Sikder, Mahmudur Rahman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

7 authors at 5 institutions in 2 countries.

Md Saiful IslamDepartment of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0003-3979-2423
Israt JahanInstitute of Social Welfare and Research, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0001-6007-7278
Muhammad Al Amin DewanDepartment of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Halley M PontesDepartment of Organizational Psychology, Birkbeck, University of London, London, United Kingdom.ORCID 0000-0001-8020-7623
Kamrun Nahar KolyHealth System and Population Studies Division, icddr,b, Dhaka, Bangladesh.
Md Tajuddin SikderDepartment of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Mahmudur RahmanDepartment of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Jahangirnagar University · BDBangladesh Centre for Advanced Studies · BDBirkbeck, University of London · GBInternational Centre for Diarrhoeal Disease Research · BDUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the ease of access to the internet in modern society users have become more prone to experiencing addictive behaviors online. The present study aimed to develop and investigate the psychometric properties of the Bangla Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), Gaming Disorder Test (GDT), and Bergen Social Media Addiction Scale (BSMAS) due to a lack of existing sound psychometric tools in Bangladesh.

methodsA cross-sectional paper-and-pencil survey was carried out among 428 school-aged adolescents who were active gamers (90.89% males; Meanage: 16.13±1.85 years; age range: 10-19 years). Participants were recruited using convenience sampling across four selected schools in Dhaka City, Bangladesh. Data collected included sociodemographic information, frequency of internet use and gaming behaviors, psychological states (i.e., Patient Health Questionnaire [PHQ-9], Generalized Anxiety Disorder [GAD-7]), disordered gaming and social media use (i.e., IGDS9-SF, GDT, and BSMAS). Psychometric testing was conducted to examine the validity and reliability levels of the Bangla IGDS9-SF, GDT, and BSMAS.

resultsThe newly adapted Bangla IGDS9-SF, GDT, and BSMAS exhibited adequate levels of internal consistency. All total scores were significantly correlated with depression, anxiety, frequencies of internet use/online activities and gaming, supporting criterion and convergent validity. CFA indicated excellent construct validity as all instruments had a good fit to the data.

conclusionsThe findings suggest that the Bangla IGDS9-SF, GDT, and BSMAS are sound psychometric instruments due to their satisfactory psychometric properties including internal consistency, criterion validity, convergent validity, and construct validity.

Indexed as

Behavior, AddictiveVideo GamesAdolescentAdultBangladeshChildCross-Sectional StudiesFemaleHumansInternetMalePsychometricsReproducibility of ResultsYoung Adult

Identifiers

PMID36516198
PMCPMC9750012
OpenAlexW4311486172

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.