论文标题
社交媒体应用程序与PHQ-9抑郁症分数相关的COVID-19大流行
Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic
论文作者
论文摘要
主要抑郁症(MDD)拥有约3亿人,是全球最常见的疾病之一。在19日期大流行期间,病例的数量进一步增加了28%。许多因素可能与MDD相关,包括过度使用社交媒体应用程序。在本文中,我们调查了社交媒体和通信应用程序的使用与19009年大流行期间的抑郁症状之间的关系。大流行和社交距离(如锁定)可能会改变智能手机的使用时间和使用模式。虽然先前的研究表明抑郁症与社交媒体使用之间存在关联,但我们在这些特殊情况下报告了情况。我们采用了对数线性回归来检查社交媒体和通信应用程序的使用和抑郁症的关联。为了量化用法,我们在社交媒体应用程序的数小时(例如WhatsApp,Facebook)以及通信应用程序(电话和消息传递)中应用了总使用时间。为了测量抑郁症状,我们使用了PHQ-9评分。我们发现使用时间与PHQ-9分数之间存在显着关联(beta = 0.0084,p值= 0.010)。我们得出的结论是,社交媒体的使用是抑郁症严重程度的强大标志,未来的研究应集中在更好地理解基本因果关系和潜在的反措施上。
With about 300 million affected people, major depressive disorder (MDD) is one of the most common diseases worldwide. During the COVID-19 pandemic, the number of cases increased even further, by 28%. Many factors may be correlated with MDD, including the excessive use of social media apps. In this paper, we investigated the relationship between the use of social media and communication apps and depressive symptoms during the COVID-19 pandemic. The pandemic and social distancing like lockdowns probably changed smartphone usage times and usage patterns. While previous studies have shown an association between depression and social media usage, we report about the situation during these special circumstances.We employed a log-linear regression to examine the association of social media and communication app usage and depression. To quantify the usage, we applied the total usage time in hours of social media apps (e.g., WhatsApp, Facebook) as well as communication apps (Phone and Messaging) within one week. To measure depressive symptoms, we used the PHQ-9 score. We discovered a significant association between the usage time and the PHQ-9 score (beta=0.0084, p-value=0.010). We conclude that social media usage is a robust marker for depression severity and future research should focus on a better understanding of the underlying causality and potential counter-measures.