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使用网络分析对捷克青少年大样本进行社交媒体障碍量表的验证。

Validation of the Social Media Disorder Scale using network analysis in a large representative sample of Czech adolescents.

机构信息

Faculty of Social Studies, Masaryk University, Brno, Czechia.

出版信息

Front Public Health. 2022 Aug 22;10:907522. doi: 10.3389/fpubh.2022.907522. eCollection 2022.


DOI:10.3389/fpubh.2022.907522
PMID:36072384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9441909/
Abstract

BACKGROUND: The importance of studying the excessive use of social media in adolescents is increasing and so is the need for in-depth evaluations of the psychometric properties of the measurement tools. This study investigated the properties of the Social Media Disorder Scale (SMDS) in a large representative sample of Czech adolescents. METHODS: We analyzed the representative sample of 13,377 Czech adolescents (50.9% boys), 11-16 years old, who participated in the Health Behavior in School-aged Children (HBSC) survey (2017-18), using confirmatory factor analysis (CFA) and network models. Furthermore, we evaluated the measurement invariance and constructed the validity of the SMDS. RESULTS: We found support for a single dominant factor but not for strict unidimensionality. Several residual correlations were identified. The strongest were for: problems-conflicts-deceptions; persistence-escape; and preoccupation-tolerance-withdrawal. Girls, particularly 13- and 15-year-olds, scored higher than boys in the same age group, and 13- and 15-year-olds achieved higher scores than 11-year-olds, although some items were not invariant between the groups. The SMDS was positively related to other online activities, screen time, and falling asleep late, but negatively related to well-being and mental health. DISCUSSION AND CONCLUSIONS: The SMDS showed solid psychometric properties and construct validity. However, small violations of measurement invariance were detected. Furthermore, the network analysis showed important residual relationships between the items.

摘要

背景:研究青少年过度使用社交媒体的重要性日益增加,因此需要深入评估测量工具的心理计量学特性。本研究在捷克青少年的大代表性样本中调查了社交媒体障碍量表(SMDS)的特性。

方法:我们使用验证性因子分析(CFA)和网络模型对参加健康行为在学龄儿童(HBSC)调查(2017-18 年)的 13377 名 11-16 岁的捷克青少年(50.9%为男生)的代表性样本进行了分析。此外,我们评估了 SMDS 的测量不变性并构建了其有效性。

结果:我们发现支持单一主导因素,但不支持严格的单维性。确定了几个残余相关性。最强的相关性是:问题-冲突-欺骗;坚持-逃避;和全神贯注-容忍-退缩。女孩,尤其是 13 岁和 15 岁的女孩,比同年龄组的男孩得分更高,13 岁和 15 岁的女孩比 11 岁的女孩得分更高,尽管有些项目在组间没有不变性。SMDS 与其他在线活动、屏幕时间和晚睡晚起呈正相关,但与幸福感和心理健康呈负相关。

讨论与结论:SMDS 具有可靠的心理计量学特性和结构有效性。然而,检测到了一些小的测量不变性违反。此外,网络分析显示了项目之间重要的残余关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/76ae6671efb9/fpubh-10-907522-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/4d45e3d7a1fb/fpubh-10-907522-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/90c4d23ae0a5/fpubh-10-907522-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/66f5a1244070/fpubh-10-907522-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/bf07b74c7cc2/fpubh-10-907522-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/76ae6671efb9/fpubh-10-907522-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/4d45e3d7a1fb/fpubh-10-907522-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/90c4d23ae0a5/fpubh-10-907522-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/66f5a1244070/fpubh-10-907522-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/bf07b74c7cc2/fpubh-10-907522-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80ee/9441909/76ae6671efb9/fpubh-10-907522-g0005.jpg

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引用本文的文献

[1]
Screen time and addictive use of gaming and social media in relation to health outcomes.

Front Psychol. 2023-12-18

本文引用的文献

[1]
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Addiction. 2022-3

[2]
Social media use and its impact on adolescent mental health: An umbrella review of the evidence.

Curr Opin Psychol. 2022-4

[3]
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Assessment. 2022-12

[4]
Statistical estimation of structural equation models with a mixture of continuous and categorical observed variables.

Behav Res Methods. 2021-10

[5]
Interplay between social media use, sleep quality, and mental health in youth: A systematic review.

Sleep Med Rev. 2021-4

[6]
Psychometric Properties and Validation of the 9-Item Social Media Scale Among Pre-University Students in Nigeria.

East Asian Arch Psychiatry. 2020-12

[7]
A review of theories and models applied in studies of social media addiction and implications for future research.

Addict Behav. 2021-3

[8]
Which conditions should be considered as disorders in the International Classification of Diseases (ICD-11) designation of "other specified disorders due to addictive behaviors"?

J Behav Addict. 2020-6-30

[9]
Interpreting the Ising Model: The Input Matters.

Multivariate Behav Res. 2021

[10]
Teenagers, screens and social media: a narrative review of reviews and key studies.

Soc Psychiatry Psychiatr Epidemiol. 2020-1-10

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