Liu Gang, Liu Ya, Chen Zongping, Zhou Siyuan, Ma Lingfei
School of Education Sciences, Chongqing Normal University, Chongqing, China.
Front Psychiatry. 2025 Jan 16;15:1521453. doi: 10.3389/fpsyt.2024.1521453. eCollection 2024.
The current study employed network analysis to examine the relationship between symptoms from factor level about autism traits and problematic mobile phone use (PMPU) and to explore their associations with depression. We measured the above three variables in 949 college students in China with Autism Spectrum Quotient (AQ), Smartphone Addiction Scale (SAS), Center for Epidemiological Studies Depression Scale (CES-D). Central and bridge symptoms were pinpointed through the examination of centrality index. In the AQ and PMPU network, results revealed that WD ("Withdrawal"), COR ("Cyberspace-oriented relationship") and OU ("Overuse") emerged as the core symptoms. AS ("Attention switching"), CO ("Communication") and COR ("Cyberspace-oriented relationship") were the most symptoms bridging the AQ and PMPU communities, suggesting that these symptoms could serve as focal points for interventions aimed at college students with concurrent autism traits and PMPU. SK ("Social skills"), COR ("Cyberspace-oriented relationship"), CO ("Communication"), and DLD ("Daily-life disturbance") were most strongly associated with depression. In addition, future research should consider various measurement tools and methods to investigate the location of AD ("Attention to detail"), because AD was an isolated symptom in the flow network of depression.
本研究采用网络分析方法，以探讨自闭症特质因素层面的症状与问题手机使用（PMPU）之间的关系，并探究它们与抑郁的关联。我们使用自闭症谱系商数（AQ）、智能手机成瘾量表（SAS）、流行病学研究中心抑郁量表（CES-D）对949名中国大学生的上述三个变量进行了测量。通过中心性指数检验确定了中心症状和桥梁症状。在AQ与PMPU网络中，结果显示，WD（“退缩”）、COR（“网络空间导向关系”）和OU（“过度使用”）成为核心症状。AS（“注意力转换”）、CO（“沟通”）和COR（“网络空间导向关系”）是连接AQ与PMPU群落的最主要症状，这表明这些症状可作为针对同时具有自闭症特质和PMPU的大学生干预措施的重点。SK（“社交技能”）、COR（“网络空间导向关系”）、CO（“沟通”）和DLD（“日常生活干扰”）与抑郁的关联最为紧密。此外，未来研究应考虑采用各种测量工具和方法来研究AD（“关注细节”）的位置，因为AD在抑郁的流动网络中是一个孤立症状。
