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本文引用的文献

1
Psychiatry. Behavioral addictions debut in proposed DSM-V.精神病学。行为成瘾首次出现在拟议的《精神疾病诊断与统计手册》第五版中。
Science. 2010 Feb 19;327(5968):935. doi: 10.1126/science.327.5968.935.
2
Attached to the web--harmful use of the Internet and its correlates.附件 1:网络成瘾与其相关因素
Eur Psychiatry. 2010 May;25(4):236-41. doi: 10.1016/j.eurpsy.2009.02.008. Epub 2009 Jun 24.
3
Alexithymia and its relationships with dissociative experiences and Internet addiction in a nonclinical sample.非临床样本中的述情障碍及其与分离体验和网络成瘾的关系。
Cyberpsychol Behav. 2009 Feb;12(1):67-9. doi: 10.1089/cpb.2008.0108.
4
The Compulsive Internet Use Scale (CIUS): some psychometric properties.强迫性网络使用量表(CIUS):一些心理测量学特性。
Cyberpsychol Behav. 2009 Feb;12(1):1-6. doi: 10.1089/cpb.2008.0181.
5
Internet addiction: metasynthesis of 1996-2006 quantitative research.网络成瘾:1996 - 2006年定量研究的综合分析
Cyberpsychol Behav. 2009 Apr;12(2):203-7. doi: 10.1089/cpb.2008.0102.
6
Internet addiction among Greek adolescent students.希腊青少年学生中的网络成瘾问题。
Cyberpsychol Behav. 2008 Dec;11(6):653-7. doi: 10.1089/cpb.2008.0088.
7
French validation of the internet addiction test.互联网成瘾测试的法语验证。
Cyberpsychol Behav. 2008 Dec;11(6):703-6. doi: 10.1089/cpb.2007.0249.
8
The association between Internet addiction and problematic alcohol use in adolescents: the problem behavior model.青少年网络成瘾与酒精使用问题之间的关联:问题行为模型。
Cyberpsychol Behav. 2008 Oct;11(5):571-6. doi: 10.1089/cpb.2007.0199.
9
Gender differences in relationships of actual and virtual social support to Internet addiction mediated through depressive symptoms among college students in Taiwan.台湾大学生中实际和虚拟社会支持与网络成瘾关系的性别差异:通过抑郁症状介导
Cyberpsychol Behav. 2008 Aug;11(4):485-7. doi: 10.1089/cpb.2007.0134.
10
Internet addiction in Chinese adolescents in Hong Kong: assessment, profiles, and psychosocial correlates.香港中国青少年的网络成瘾:评估、特征及社会心理相关因素
ScientificWorldJournal. 2008 Aug 7;8:776-87. doi: 10.1100/tsw.2008.104.

确认病理性互联网使用的三因素模型在离线青少年和成年样本中的适用性。

Confirmation of the three-factor model of problematic internet use on off-line adolescent and adult samples.

机构信息

Institutional Group on Addiction Research, Eötvös Loránd University, Budapest, Hungary.

出版信息

Cyberpsychol Behav Soc Netw. 2011 Nov;14(11):657-64. doi: 10.1089/cyber.2010.0345. Epub 2011 Jun 28.

DOI:10.1089/cyber.2010.0345
PMID:21711129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3225044/
Abstract

As the Internet became widely used, problems associated with its excessive use became increasingly apparent. Although for the assessment of these problems several models and related questionnaires have been elaborated, there has been little effort made to confirm them. The aim of the present study was to test the three-factor model of the previously created Problematic Internet Use Questionnaire (PIUQ) by data collection methods formerly not applied (off-line group and face-to-face settings), on the one hand, and by testing on different age groups (adolescent and adult representative samples), on the other hand. Data were collected from 438 high-school students (44.5 percent boys; mean age: 16.0 years; standard deviation=0.7 years) and also from 963 adults (49.9 percent males; mean age: 33.6 years; standard deviation=11.8 years). We applied confirmatory factor analysis to confirm the measurement model of problematic Internet use. The results of the analyses carried out inevitably support the original three-factor model over the possible one-factor solution. Using latent profile analysis, we identified 11 percent of adults and 18 percent of adolescent users characterized by problematic use. Based on exploratory factor analysis, we also suggest a short form of the PIUQ consisting of nine items. Both the original 18-item version of PIUQ and its short 9-item form have satisfactory reliability and validity characteristics, and thus, they are suitable for the assessment of problematic Internet use in future studies.

摘要

随着互联网的广泛应用,与过度使用互联网相关的问题日益明显。尽管已经有几种模型和相关问卷被用来评估这些问题,但很少有努力来验证这些模型和问卷。本研究的目的是通过以前未采用的数据收集方法(离线组和面对面设置)来检验之前创建的网络成瘾问卷(PIUQ)的三因素模型,一方面,另一方面,通过对不同年龄组(青少年和成年代表性样本)进行测试。数据来自 438 名高中生(44.5%的男生;平均年龄:16.0 岁;标准差=0.7 岁)和 963 名成年人(49.9%的男性;平均年龄:33.6 岁;标准差=11.8 岁)。我们采用验证性因子分析来验证网络成瘾的测量模型。分析结果不可避免地支持了原始的三因素模型,而不是可能的单因素解决方案。通过潜在剖面分析,我们确定了 11%的成年人和 18%的青少年用户存在问题使用。基于探索性因子分析,我们还建议使用 PIUQ 的简短形式,由九个项目组成。PIUQ 的原始 18 项版本和简短的 9 项版本都具有令人满意的可靠性和有效性特征,因此,它们适合未来研究中评估网络成瘾问题。