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社交媒体的使用与滥用:用户的不同特征及其与成瘾行为的关联。

Social media use and abuse: Different profiles of users and their associations with addictive behaviours.

作者信息

Tullett-Prado Deon, Stavropoulos Vasileios, Gomez Rapson, Doley Jo

机构信息

Victoria University, Australia.

University of Athens, Greece.

出版信息

Addict Behav Rep. 2023 Jan 21;17:100479. doi: 10.1016/j.abrep.2023.100479. eCollection 2023 Jun.


DOI:10.1016/j.abrep.2023.100479
PMID:36748081
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9898019/
Abstract

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.

摘要

引言:社交媒体的使用在全球范围内日益普遍。与此同时,围绕社交媒体滥用/问题使用的担忧也在激增,这种现象类似于行为成瘾和物质成瘾。这促使了“社交媒体成瘾”(SMA)这一概念的提出,它作为一种需要对其定义、评估以及与其他成瘾行为的关联进行阐释的状况。因此,本研究旨在:(a)增进对所经历的SMA症状类型/结构的认识;(b)探究这些类型与游戏、赌博、酒精、吸烟、药物滥用、性(包括色情内容)、购物、互联网使用和运动等成瘾行为之间的关联。 方法:使用卑尔根社交媒体成瘾量表(BSMAS)对968名成年人(年龄中位数Mage = 29.5,标准差SDage = 9.36,男性622人(64.3%),女性315人(32.5%))进行调查,了解他们的SMA经历。此外,还评估了他们在游戏、互联网、赌博、酒精、香烟、药物、性、购物和运动成瘾方面的经历,并实施了潜在类别分析(LPA)。 结果:根据一个人的SMA症状严重程度,揭示了三种不同的类型:“低”、“中”和“高”风险。随后的方差分析表明,被归类为“高”风险的参与者在与互联网、赌博、游戏、性尤其是购物成瘾相关的行为方面表现出显著更高的水平。 结论:结果支持SMA作为一个单一的结构,同时可能对技术成瘾和行为成瘾之间的区分提出挑战。研究结果还意味着,对表现出SMA行为的人进行评估,以及针对SMA风险群体的预防和干预,应考虑其他共病成瘾问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c25/9898019/5ac98f77f788/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c25/9898019/d97bfc9e398a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c25/9898019/5ac98f77f788/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c25/9898019/d97bfc9e398a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c25/9898019/5ac98f77f788/gr2.jpg

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[7]
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[8]
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本文引用的文献

[1]
Factor structure of ten psychoactive substance addictions and behavioural addictions.

Psychiatry Res. 2022-7

[2]
Unravelling the web of addictions: A network analysis approach.

Addict Behav Rep. 2022-1-6

[3]
Needs affordance as a key factor in likelihood of problematic social media use: Validation, latent Profile analysis and comparison of TikTok and Facebook problematic use measures.

Addict Behav. 2022-6

[4]
Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis.

J Med Internet Res. 2022-1-10

[5]
Tracing 20 years of research on problematic use of the internet and social media: Theoretical models, assessment tools, and an agenda for future work.

Compr Psychiatry. 2022-1

[6]
Determination the cut-off point for the Bergen social media addiction (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction for social media disorder.

J Behav Addict. 2021-7-15

[7]
Internet Gaming Disorder profiles and their associations with social engagement behaviours.

J Psychiatr Res. 2021-6

[8]
A review of theories and models applied in studies of social media addiction and implications for future research.

Addict Behav. 2021-3

[9]
Mental health toll from the coronavirus: Social media usage reveals Wuhan residents' depression and secondary trauma in the COVID-19 outbreak.

Comput Human Behav. 2021-1

[10]
Gaming disorder and internet addiction: A systematic review of resting-state EEG studies.

Addict Behav. 2020-8

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