Development of Social Media Addiction Scale for COVID-19 Pandemic (SMACOP)

N. Chong Guan
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引用次数: 2

Abstract

The current COVID-19 pandemic and ‘new normal’ has resulted in much distress worldwide. Social media currently plays an essential role in information gathering. Thus, time spent on social media has increased drastically, further increasing the risk for internet-related addictions, such as social media addiction. This study aimed to develop a COVID-19-related measure of social media addiction based on the Bergen Social Media Addiction Scale (BSMAS) in order to aid in the identification and evaluation of at-risk individuals. Social Media Addiction Scale for COVID-19 Pandemic (SMACOP) was adapted from BSMAS to fit the context of COVID-19 and pilot tested on 20 individuals. A total of 80 participants were subsequently recruited through convenience sampling from the general public of a public university in Malaysia, comprising of patients’ family, visitors, or hospital staff. Construct validity was assessed using the Insomnia Severity Index (ISI), Generalized Anxiety Disorder 7 (GAD7) and Patient Health Questionnaire (PHQ9). A two-factor structure was found for SMACOP, comprising of the factors ‘Desire’ and ‘Distress’. SMACOP shows good internal consistency (α = 0.64) and validity. SMACOP scores were positively correlated with the PHQ9, GAD7, and ISI (p<.01). SMACOP is a psychometrically valid instrument with high internal consistency, which is especially useful during this time in assessing social media addiction in relevance to COVID-19.
新冠肺炎大流行社交媒体成瘾量表(SMACOP)的编制
当前的COVID-19大流行和“新常态”给全世界带来了很大的痛苦。社交媒体目前在信息收集中起着至关重要的作用。因此,花在社交媒体上的时间急剧增加,进一步增加了网络相关成瘾的风险,比如社交媒体成瘾。本研究旨在基于卑尔根社交媒体成瘾量表(BSMAS)开发一种与covid -19相关的社交媒体成瘾指标,以帮助识别和评估高危人群。COVID-19大流行社交媒体成瘾量表(SMACOP)是根据BSMAS改编的,以适应COVID-19的背景,并在20个人中进行了试点测试。随后,通过方便抽样从马来西亚一所公立大学的公众中招募了总共80名参与者,包括患者家属、访客或医院工作人员。采用失眠严重程度指数(ISI)、广泛性焦虑障碍7 (GAD7)和患者健康问卷(PHQ9)评估结构效度。发现SMACOP具有双因素结构,包括“欲望”和“痛苦”因素。SMACOP具有良好的内部一致性(α = 0.64)和效度。SMACOP评分与PHQ9、GAD7、ISI呈正相关(p< 0.01)。SMACOP是一种心理测量学上有效的工具,具有高度的内部一致性,在评估与COVID-19相关的社交媒体成瘾方面尤其有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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