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Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan
OBJECTIVE: Internet Gaming Disorder (IGD) is a rapidly growing public health problem that may have detrimental effects. The purpose of this study is to identify factors associated with IGD status. METHODS: In this cross-sectional observational study, a convenient sample of gamers in Jordan was recru...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728563/ https://www.ncbi.nlm.nih.gov/pubmed/35173791 http://dx.doi.org/10.2174/1745017902117010217 |
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author | Karasneh, Reema Al-Azzam, Sayer Alzoubi, Karem H. Nusair, Mohammad B. Hawamdeh, Sahar Nusir, Amal T. |
author_facet | Karasneh, Reema Al-Azzam, Sayer Alzoubi, Karem H. Nusair, Mohammad B. Hawamdeh, Sahar Nusir, Amal T. |
author_sort | Karasneh, Reema |
collection | PubMed |
description | OBJECTIVE: Internet Gaming Disorder (IGD) is a rapidly growing public health problem that may have detrimental effects. The purpose of this study is to identify factors associated with IGD status. METHODS: In this cross-sectional observational study, a convenient sample of gamers in Jordan was recruited and asked to participate in an online survey based on the nine criteria of the 20-item Internet Gaming Disorder (IGD-20) used to assess gaming disorder. Sociodemographic and psychosocial data were also obtained. RESULTS: A total of 504 gamers participated in this study. The mean age of respondents was 21.6 ± 3.90 years. Using the standard IGD-20 scale, 96 participants (19%) were classified as potential IGD cases, compared to 408 (80.9%) non-disordered gamers. Males were dominant among the population, constituting 348 (69%) of gamers. Males also played significantly more hours per week [17.8 ±16.75] compared to females [13 ± 17.65]. The majority of gamers (411 (81.5%)) were students, although unemployed adults played for the highest total time [23.9 ± 30.84 hours/week]. Device type used for gaming also significantly (p <0.05) affected the time spent playing. Predictors of IGD included educational level (p< 0.05) and playing hours/week (p< 005). Conversely, no significant associations were found between IGD and gender, age, employment, or sleeping hours. IGD is increasingly being diagnosed among both genders and presents a health challenge for internet users. CONCLUSION: Establishing gamer profiles and recognizing predictors of IGD is therefore vital for guiding clinical classification and diagnosis of the disease. |
format | Online Article Text |
id | pubmed-8728563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-87285632022-02-15 Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan Karasneh, Reema Al-Azzam, Sayer Alzoubi, Karem H. Nusair, Mohammad B. Hawamdeh, Sahar Nusir, Amal T. Clin Pract Epidemiol Ment Health Article OBJECTIVE: Internet Gaming Disorder (IGD) is a rapidly growing public health problem that may have detrimental effects. The purpose of this study is to identify factors associated with IGD status. METHODS: In this cross-sectional observational study, a convenient sample of gamers in Jordan was recruited and asked to participate in an online survey based on the nine criteria of the 20-item Internet Gaming Disorder (IGD-20) used to assess gaming disorder. Sociodemographic and psychosocial data were also obtained. RESULTS: A total of 504 gamers participated in this study. The mean age of respondents was 21.6 ± 3.90 years. Using the standard IGD-20 scale, 96 participants (19%) were classified as potential IGD cases, compared to 408 (80.9%) non-disordered gamers. Males were dominant among the population, constituting 348 (69%) of gamers. Males also played significantly more hours per week [17.8 ±16.75] compared to females [13 ± 17.65]. The majority of gamers (411 (81.5%)) were students, although unemployed adults played for the highest total time [23.9 ± 30.84 hours/week]. Device type used for gaming also significantly (p <0.05) affected the time spent playing. Predictors of IGD included educational level (p< 0.05) and playing hours/week (p< 005). Conversely, no significant associations were found between IGD and gender, age, employment, or sleeping hours. IGD is increasingly being diagnosed among both genders and presents a health challenge for internet users. CONCLUSION: Establishing gamer profiles and recognizing predictors of IGD is therefore vital for guiding clinical classification and diagnosis of the disease. Bentham Science Publishers 2021-12-22 /pmc/articles/PMC8728563/ /pubmed/35173791 http://dx.doi.org/10.2174/1745017902117010217 Text en © 2021 Karasneh et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Article Karasneh, Reema Al-Azzam, Sayer Alzoubi, Karem H. Nusair, Mohammad B. Hawamdeh, Sahar Nusir, Amal T. Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan |
title | Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan |
title_full | Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan |
title_fullStr | Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan |
title_full_unstemmed | Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan |
title_short | Patterns and Predictors of Internet Gaming Disorder: An Observational Study from Jordan |
title_sort | patterns and predictors of internet gaming disorder: an observational study from jordan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728563/ https://www.ncbi.nlm.nih.gov/pubmed/35173791 http://dx.doi.org/10.2174/1745017902117010217 |
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