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揭开YouTube成瘾之谜:理解数字依赖的范围。

Unveiling the YouTube addiction: Understanding the spectrum of digital dependency.

作者信息

Mahendran Rajalakshmi, Abiharini Subramoniam, Subbaraj Archana

机构信息

Department of Community Medicine, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India.

出版信息

J Family Med Prim Care. 2024 Nov;13(11):5265-5269. doi: 10.4103/jfmpc.jfmpc_1107_24. Epub 2024 Nov 18.

DOI:10.4103/jfmpc.jfmpc_1107_24
PMID:39722913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11668467/
Abstract

BACKGROUND

Excessive use of YouTube is increasingly being as a source of technological addiction in both adolescent and adult population worldwide.

OBJECTIVE

The aim of this study is to assess YouTube addiction among adolescents and adults and the ways to reduce its usage.

METHODS

After obtaining Institutional ethical clearance and informed consent, we collected data from adolescent and adult male and female using a 22-item YouTube addiction scale (YAS) questionnaire. Face-to-face interview was conducted by the principal investigator. The principal component analysis (PCA) of the YAS questionnaire was performed. Manual content analysis was conducted for the qualitative data.

RESULTS

We enrolled 54 (50.9%) male and 52 (49.1%) female participants. The majority of them use YouTube and Instagram. Severely addicted were 38.7%, who spent all seven days watching YouTube videos. A principal component analysis revealed a four-component YAS structure based on an eigenvalue cutoff (>1), Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was more than 0.5, and Bartlett's test of sphericity was <0.001. We grouped 22 items into four dimensions: Impaired control, decrease alternate pleasure, intense desire, and measures taken to reduce usage.

CONCLUSION

Behaviour modification needed to promote healthier YouTube usage habits.

摘要

背景

在全球青少年和成年人中,过度使用YouTube正日益成为技术成瘾的一个源头。

目的

本研究旨在评估青少年和成年人中对YouTube的成瘾情况以及减少其使用的方法。

方法

在获得机构伦理批准和知情同意后,我们使用一份包含22个条目的YouTube成瘾量表(YAS)问卷,从青少年和成年男性及女性中收集数据。由首席调查员进行面对面访谈。对YAS问卷进行主成分分析(PCA)。对定性数据进行人工内容分析。

结果

我们招募了54名(50.9%)男性和52名(49.1%)女性参与者。他们中的大多数人使用YouTube和Instagram。38.7%的人严重成瘾,他们七天都在观看YouTube视频。主成分分析显示,基于特征值截断值(>1),YAS结构有四个成分,Kaiser-Meyer-Olkin(KMO)抽样适当性度量大于0.5,Bartlett球形检验小于0.001。我们将22个条目分为四个维度:控制受损、替代愉悦减少、强烈欲望以及为减少使用所采取的措施。

结论

需要进行行为改变以促进更健康的YouTube使用习惯。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35de/11668467/2913d735bb5f/JFMPC-13-5265-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35de/11668467/2913d735bb5f/JFMPC-13-5265-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35de/11668467/2913d735bb5f/JFMPC-13-5265-g001.jpg

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