Preference for Smartphone-Based Internet Applications and Smartphone Addiction Among Young Adult Addicts: Gender Difference in Psychological Network

上瘾 心理学 智能手机成瘾 社交网络(社会语言学) 行为成瘾 偏爱 中心性 互联网 人口 临床心理学 社会化媒体 医学 精神科 计算机科学 万维网 经济 微观经济学 组合数学 环境卫生 数学
作者
Xinyi Wei,Hanyu Liang,Ting Gao,Lingfeng Gao,Guohua Zhang,Xiaoyuan Chu,Hongxia Wang,Jingyu Geng,Ke Liu,Jia Nie,Pan Zeng,Lei Ren,Chang Liu,Huaibin Jiang,Li Lei
出处
期刊:Social Science Computer Review [SAGE Publishing]
卷期号:42 (5): 1266-1281 被引量:6
标识
DOI:10.1177/08944393231222680
摘要

Young adults are a high-risk population for developing smartphone addiction (SA), which bring about social issues. One theoretically and empirically supported proximal risk factor of SA is preference for smartphone-based internet applications (PSIA). However, most previous studies ignore gender difference and symptomatic heterogeneity of SA. Besides, many previous data analyses contain non-addicts, and the results derived might not be applicable to smartphone addicts. To bridging the gap, we used a symptom-level network analysis to assess gender differences in the links between preferences for 8 smartphone-based internet applications and 4 SA symptoms among young adults with high-level phone addiction (619 women and 415 men). The results showed that: (1) The relationship between the preference for video and the “loss of control” symptom was more pronounced in female addicts compared to their male counterparts. (2) Shopping app had stronger bridge centrality in women’s smartphone applications-SA network, which was positively linked with more SA symptoms. (3) Our research identified marginal gender differences in smartphone addicts' psychological networks, with female addicts showing stronger links between social media/eBook preferences and withdrawal symptoms, and male addicts displaying a stronger connection between gaming/eBook and other smartphone activities. The study provides a visualized network association and network metrics for understanding the relationship between PSIA and SA. We propose adopting a selective processing hypothesis and an evolutionary psychology perspective to aid in understanding these gender differences.
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