Neurodevelopmental Traits and Longitudinal Transition Patterns in Internet Addiction: A 2-year Prospective Study
Neurodevelopmental Traits and Longitudinal Transition Patterns in Internet Addiction: A 2-year Prospective Study
复制标题
DOI：
10.1007/s10803-020-04620-2
复制
发表时间：
2020-07-23
影响因子：
3.9
通讯作者：
Nakamura, Kazuhiko
中科院分区：
文献类型：
--
作者：
Hirota, Tomoya;Takahashi, Michio;Nakamura, Kazuhiko
尽管越来越多的关注，网络成瘾（IA）在临床实践和研究，我们的了解IA状态的纵向变化是有限的。在本研究中，我们采用潜在转换分析，调查模式的过渡和IA状态的稳定性5483名学生（9-12岁）在两年的研究期间。此外，我们还研究了神经发育特征是否能预测某些过渡模式。IA类成员的稳定率和从非IA到IA状态的转换率在2年内分别为47%和11%。回归模型显示，自闭症特质预测持续IA模式和不注意特质预测持续和转换（从非IA IA状态）模式。
Despite increasing attention to internet addiction (IA) in both clinical practice and research, our understanding of longitudinal changes of IA status is limited. In the present study, we employed latent transition analysis to investigate patterns of transitions and the stability of IA status among 5483 students (aged 9-12 years) over the two-year study periods. Additionally, we examined whether neurodevelopmental traits predicted certain transition patterns. The stability rate of IA class membership and the conversion rate from non-IA to IA status across the 2 years were 47% and 11%, respectively. The regression model revealed that autistic traits predicted the persisting IA pattern and that inattention traits predicted both the persisting and converting (from non-IA to IA status) patterns.