A network analysis of problematic smartphone use in Japanese young adults.

A network analysis of problematic smartphone use in Japanese young adults.
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DOI:
10.1371/journal.pone.0272803
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
--
中科院分区:
综合性期刊3区
文献类型:
--
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我们的目的是探索智能手机成瘾量表(SAS-SV)评估的问题智能手机使用症状的整体网络结构,并确定哪些项目可能在网络中发挥重要作用。487名大学生填写了SAS-SV问卷。我们在SAS-SV的10个项目之间构建了一个正则化的偏相关网络。我们计算了节点中心性的三个指标:强度,接近度和介数,以量化每个SAS-SV项的重要性。我们在估计的网络中确定了34条边。在给定的网络中,与戒断症状相关的条目强度最高,且具有较高的接近中心度。此外,还发现一个与关注相关的项目具有较高的中心性指数。我们的研究结果表明,一种戒断症状和一种专注症状在年轻人有问题的智能手机使用症状网络中的核心作用与之前针对学龄儿童的研究一致。纵向研究设计需要引出这些核心项目的形成和维持这种行为问题的作用。
We aimed to explore the overall network structure of problematic smartphone use symptoms assessed by smartphone addiction scale-short version (SAS-SV) and to identify which items could play important roles in the network. 487 college and university students filled out the study questionnaire, including SAS-SV. We constructed a regularized partial correlation network among the 10 items of SAS-SV. We calculated three indices of node centrality: strength, closeness, and betweenness, to quantify the importance of each SAS-SV item. We identified 34 edges in the estimated network. In the given network, one item pertaining to withdrawal symptom hadthe highest strength and high closeness centrality. Additionally, one item related to preoccupation was also found to have high centrality indices. Our results indicating the central role of one withdrawal symptom and one preoccupation symptom in the symptom network of problematic smartphone use in young adults were in line with a previous study targeting school-age children. Longitudinal study designs are required to elicit the role of these central items on the formation and maintenance of this behavioral problem.
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