Networks of digital addiction symptoms: Network Analysis (Preprint)

Author:

Hu MiaowenORCID,Lyu WeiORCID,Lu JianxiaORCID,Zheng HuiORCID

Abstract

BACKGROUND

Digital addiction can cause significant impairments in health. Previous studies have reported high prevalence rate of digital addiction, encompassing subtypes such as internet addiction, game addiction, social media addiction, and game addiction. However, empirical investigation of the associations and differences among various digital addiction remains necessary. Additionally, identifying core symptoms among digital addiction would enhance our understanding of their different types.

OBJECTIVE

The present study aimed to explore the comorbidity between the four digital addiction subtypes and conducted a network analysis to comprehensively analyze the interrelationships, core symptoms among digital addiction subtypes.

METHODS

This was a cross-sectional online survey conducted in China. The participants were 16−28 years old (n = 1764; 75.7% women). Four subtypes (internet addiction, social media addiction, smartphone addiction, and game addiction) of digital addiction were identified according to Internet Addiction Test (IAT), Problematic Social Media Use (PSMU) scale, Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale–Short-Form (IGDS9-SF), respectively. Network analyses were conducted to explore the relationship between four subtypes.

RESULTS

Significant comorbidity was observed among subtypes (95.35%). Network analysis identified key nodes such as PSMU6 (Conflict) and IAT (total score) with high predictability and centrality. Nodes like IGD9_SF8 (Escape) and SABAS3 (Mood modification) served as bridges symptoms. Causal inference suggested the dominant role of smartphone addiction, which cause social media addiction and internet addiction, leading to game addiction in further.

CONCLUSIONS

The significant comorbidity implies that individuals who exhibit addiction tendencies in one area are likely to manifest addictive behaviors in other digital domains as well. This interconnectedness suggests a common underlying vulnerability or predisposition towards addictive behaviors in the digital realm. And excessive smartphone usage may serve as a catalyst, triggering addictive behaviors across other digital platforms. In conclusion, this research highlights the interconnected nature of digital addiction and the influential role of smartphone addiction as a precursor to other forms of digital addiction.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3