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短信依赖、执行功能与大学生冲动性:聚类分析。

Text-Message Dependency, Executive Function, and Impulsivity in College Students: A Cluster Analysis.

机构信息

Division of Social Sciences and Education, Pennsylvania State University, Hazleton, Hazleton, Pennsylvania, USA.

Substance Use, Gender and Applied Research, RTI International, Research Triangle Park, North Carolina, USA.

出版信息

Cyberpsychol Behav Soc Netw. 2020 Nov;23(11):794-799. doi: 10.1089/cyber.2019.0743. Epub 2020 Aug 11.

DOI:10.1089/cyber.2019.0743
PMID:32780586
Abstract

This study examined whether text-message users would differ in levels of executive function, a trait of impulsivity, and impulsive decision making. A sample of 167 college students (57 percent of whom were female and the mean age was 19.9 years with the standard deviation of 4.1) participated. Using a hierarchical cluster analysis with levels of text-message dependency, the participants were grouped into excessive and dependent users (dependent users), excessive but nondependent users (excessive users), or nonexcessive and nondependent users (normal users). The groups were then compared on the extent to which they differed in levels of executive function, impulsivity, and impulsive decision making. The results showed that, relative to excessive users, dependent users were lower on levels of executive function and higher on levels of the trait of impulsivity. The moderating effects of gender on these differences were also examined, but gender did not significantly moderate the differences. This study demonstrated that excessive text-message users are not necessarily dependent text-message users and executive function and impulsivity may play an important role in differentiating the two types of users.

摘要

本研究考察了短信用户在执行功能(冲动特质的一种)和冲动决策方面是否存在差异。研究对象为 167 名大学生(其中 57%为女性,平均年龄为 19.9 岁,标准差为 4.1)。研究采用层次聚类分析,根据短信依赖程度将参与者分为过度依赖短信用户(依赖用户)、过度使用但不依赖短信用户(过度用户)和非过度依赖短信用户(正常用户)。然后,比较了这三个群体在执行功能、冲动性和冲动决策方面的差异程度。结果表明,与过度用户相比,依赖用户的执行功能水平较低,冲动特质水平较高。性别对这些差异的调节作用也进行了检验,但性别并没有显著调节这些差异。本研究表明,过度使用短信的用户不一定是依赖短信的用户,执行功能和冲动性可能在区分这两种用户类型方面发挥着重要作用。

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