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Types of problematic smartphone use based on psychiatric symptoms

机译:基于精神症状的有问题智能手机的类型

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To provide appropriate solutions for problematic smartphone use, we need to first understand its types. This study aimed to identify types of problematic smartphone use based on psychiatric symptoms, using the decision tree method. We recruited 5,372 smartphone users from online surveys conducted between February 3 and February 22, 2016. Based on scores on the Korean Smartphone Addiction Proneness Scale for Adults (S-Scale), 974 smartphone users were assigned to the smartphone-dependent group and 4398 users were assigned to the normal group. The data-mining technique of C5.0 decision tree was applied. We used 15 input variables, including demographic and psychological factors. Four psychiatric variables emerged as the most important predictors: self-control (Sc; 66%), anxiety (Anx; 25%), depression (Dep; 7%), and dysfunctional impulsivities (Imp; 3%). We identified the following five types of problematic smartphone use: (1) non-comorbid, (2) self-control, (3) Sc + Anx, (4) Sc + Anx + Dep, and (5) Sc + Anx + Dep + Imp. We found that 74% of smartphone-dependent users had psychiatric symptoms. The ratio of participants belonging to the non-comorbid and self-control types was 64%. We proposed that these types of problematic smartphone use may be used for the development of an appropriate service for controlling and preventing such behaviors in adults.
机译:为有问题的智能手机提供适当的解决方案,我们需要首先了解其类型。本研究旨在使用决策树方法来识别基于精神症状的问题智能手机使用类型。我们招募了5,372次智能手机用户来自2月3日至2016年2月22日之间进行的在线调查。根据韩国智能手机成年人的成绩(S级),974名智能手机用户被分配给智能手机依赖组和4398个用户被分配到正常组。应用了C5.0决策树的数据挖掘技术。我们使用了15个输入变量,包括人口统计和心理因素。作为最重要的预测因子的四个精神病变量:自我控制(SC; 66%),焦虑(焦虑; 25%),抑郁(DEP; 7%)和功能失调的冲动(IMP; 3%)。我们确定了以下五种类型的有问题的智能手机使用:(1)非同经,(2)自我控制,(3)SC + ANX,(4)SC + ANX + DEP,以及(5)SC + ANX + DEP + IMP。我们发现74%的智能手机依赖的用户具有精神症状。属于非合并和自我控制类型的参与者的比例为64%。我们提出这些类型的问题智能手机使用可用于开发适当的控制,以控制和预防成人中的这种行为。

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