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Social media use and abuse: Different profiles of users and their associations with addictive behaviours
INTRODUCTION: Social media use has become increasingly prevalent worldwide. Simultaneously, concerns surrounding social media abuse/problematic use, which resembles behavioural and substance addictions, have proliferated. This has prompted the introduction of ‘Social Media Addiction’ [SMA], as a con...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898019/ https://www.ncbi.nlm.nih.gov/pubmed/36748081 http://dx.doi.org/10.1016/j.abrep.2023.100479 |
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author | Tullett-Prado, Deon Stavropoulos, Vasileios Gomez, Rapson Doley, Jo |
author_facet | Tullett-Prado, Deon Stavropoulos, Vasileios Gomez, Rapson Doley, Jo |
author_sort | Tullett-Prado, Deon |
collection | PubMed |
description | INTRODUCTION: Social media use has become increasingly prevalent worldwide. Simultaneously, concerns surrounding social media abuse/problematic use, which resembles behavioural and substance addictions, have proliferated. This has prompted the introduction of ‘Social Media Addiction’ [SMA], as a condition requiring clarifications regarding its definition, assessment and associations with other addictions. Thus, this study aimed to: (a) advance knowledge on the typology/structure of SMA symptoms experienced and: (b) explore the association of these typologies with addictive behaviours related to gaming, gambling, alcohol, smoking, drug abuse, sex (including porn), shopping, internet use, and exercise. METHODS: A sample of 968 [Mage = 29.5, SDage = 9.36, nmales = 622 (64.3 %), nfemales = 315, (32.5 %)] adults was surveyed regarding their SMA experiences, using the Bergen Social Media Addiction Scale (BSMAS). Their experiences of Gaming, Internet, Gambling, Alcohol, Cigarette, Drug, Sex, Shopping and Exercise addictions were additionally assessed, and latent profile analysis (LPA) was implemented. RESULTS: Three distinct profiles were revealed, based on the severity of one’s SMA symptoms: ‘low’, ‘moderate’ and ‘high’ risk. Subsequent ANOVA analyses suggested that participants classified as ‘high’ risk indicated significantly higher behaviours related to internet, gambling, gaming, sex and in particular shopping addictions. CONCLUSIONS: Results support SMA as a unitary construct, while they potentially challenge the distinction between technological and behavioural addictions. Findings also imply that the assessment of those presenting with SMA behaviours, as well as prevention and intervention targeting SMA at risk groups, should consider other comorbid addictions. |
format | Online Article Text |
id | pubmed-9898019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98980192023-02-05 Social media use and abuse: Different profiles of users and their associations with addictive behaviours Tullett-Prado, Deon Stavropoulos, Vasileios Gomez, Rapson Doley, Jo Addict Behav Rep Research paper INTRODUCTION: Social media use has become increasingly prevalent worldwide. Simultaneously, concerns surrounding social media abuse/problematic use, which resembles behavioural and substance addictions, have proliferated. This has prompted the introduction of ‘Social Media Addiction’ [SMA], as a condition requiring clarifications regarding its definition, assessment and associations with other addictions. Thus, this study aimed to: (a) advance knowledge on the typology/structure of SMA symptoms experienced and: (b) explore the association of these typologies with addictive behaviours related to gaming, gambling, alcohol, smoking, drug abuse, sex (including porn), shopping, internet use, and exercise. METHODS: A sample of 968 [Mage = 29.5, SDage = 9.36, nmales = 622 (64.3 %), nfemales = 315, (32.5 %)] adults was surveyed regarding their SMA experiences, using the Bergen Social Media Addiction Scale (BSMAS). Their experiences of Gaming, Internet, Gambling, Alcohol, Cigarette, Drug, Sex, Shopping and Exercise addictions were additionally assessed, and latent profile analysis (LPA) was implemented. RESULTS: Three distinct profiles were revealed, based on the severity of one’s SMA symptoms: ‘low’, ‘moderate’ and ‘high’ risk. Subsequent ANOVA analyses suggested that participants classified as ‘high’ risk indicated significantly higher behaviours related to internet, gambling, gaming, sex and in particular shopping addictions. CONCLUSIONS: Results support SMA as a unitary construct, while they potentially challenge the distinction between technological and behavioural addictions. Findings also imply that the assessment of those presenting with SMA behaviours, as well as prevention and intervention targeting SMA at risk groups, should consider other comorbid addictions. Elsevier 2023-01-21 /pmc/articles/PMC9898019/ /pubmed/36748081 http://dx.doi.org/10.1016/j.abrep.2023.100479 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research paper Tullett-Prado, Deon Stavropoulos, Vasileios Gomez, Rapson Doley, Jo Social media use and abuse: Different profiles of users and their associations with addictive behaviours |
title | Social media use and abuse: Different profiles of users and their associations with addictive behaviours |
title_full | Social media use and abuse: Different profiles of users and their associations with addictive behaviours |
title_fullStr | Social media use and abuse: Different profiles of users and their associations with addictive behaviours |
title_full_unstemmed | Social media use and abuse: Different profiles of users and their associations with addictive behaviours |
title_short | Social media use and abuse: Different profiles of users and their associations with addictive behaviours |
title_sort | social media use and abuse: different profiles of users and their associations with addictive behaviours |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898019/ https://www.ncbi.nlm.nih.gov/pubmed/36748081 http://dx.doi.org/10.1016/j.abrep.2023.100479 |
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