TY -的AU - Lu, Jianxia盟——张Qinhan盟——钟,Na盟——陈,金盟,翟于家村盟——郭,Lei AU - Lu, Chunlei盟——陈瓜子盟——江Zhongli AU -郑,回族PY - 2022 DA - 2022/11/10 TI -网络成瘾症状的年轻互联网用户:网络分析乔- J地中海互联网Res SP - e38984六世- 24 - 11千瓦——网瘾KW——网瘾测试KW -网络分析KW -青少年AB -背景:由于过度使用网络,越来越多的人对网络上瘾。网络成瘾测试(IAT)是一种流行的评估网络使用行为的工具。不同症状之间的相互作用以及IAT与临床诊断标准之间的关系尚不清楚。目的:探讨网络成瘾(IA)的核心症状及不同症状网络之间的相关性。网络分析还探讨了IAT量表与精神障碍诊断与统计手册第5版(DSM-5) IA标准之间的关系。方法:我们招募了4480名年龄在14-24岁的互联网用户,他们完成了IAT测试。对所提交的问卷进行筛选后,最终的分析包括63.50%(2845/4480)的参与者。将参与者分为IA组和非IA组。通过使用Lasso正则化网络的部分相关,我们确定了每组IA的核心症状,并比较了网络特性(强度、紧密性和之间性)的组间差异。 Then, we analyzed the symptom networks of the DSM-5 diagnostic criteria and IAT scale for IA. Results: A total of 12.47% (355/2845) of the patients were in the IA group and 87.52% (2490/2845) of the patients were in the NIA group, and both groups were evaluated for the following nodes: IAT_06 (school work suffers; strength=0.511), IAT_08 (job performance suffers; strength=0.531), IAT_15 (fantasize about being on the web; strength=0.474), IAT_17 (fail to stop being on the web; strength=0.526), and IAT_12 (fear about boredom if offline; strength=0.502). The IA groups had a stronger edge between IAT_09 (defensive or secretive about being on the web) and IAT_18 (hidden web time) than the NIA groups. The items in DSM-5 had a strong association with IAT_12 (weight=−0.066), IAT_15 (weight=−0.081), IAT_17 (weight=−0.106), IAT_09 (weight=−0.198), and IAT_18 (weight=−0.052). Conclusions: The internet use symptom network of the IA group is significantly different from that of the NIA group. Nodes IAT_06 (school work affected) and IAT_08 (work performance affected) are the resulting symptoms affected by other symptoms, whereas nodes IAT_12 (fear about boredom if offline), IAT_17 (inability to stop being on the web), and IAT_15 (fantasize about being on the web) are key symptoms that activate other symptoms of IA and are strongly linked to the inability to control the intention to play games in the DSM-5. SN - 1438-8871 UR - //www.mybigtv.com/2022/11/e38984 UR - https://doi.org/10.2196/38984 UR - http://www.ncbi.nlm.nih.gov/pubmed/36355402 DO - 10.2196/38984 ID - info:doi/10.2196/38984 ER -
Baidu
map