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Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?

机译:社交媒体使用(Twitter,Instagram,Facebook)和抑郁症状之间的关联:推特用户处于较高风险吗?

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Background: The purpose of this study was to determine the association between social media dependence and depressive symptoms and also, to characterize the level of dependence. It was a transversal, analytical research. Subjects and Methods: The stratified sample was 212 students from a private university that used Facebook, Instagram and/or Twitter. To measure depressive symptoms, Beck Depression Inventory was used, and to measure the dependence to social media, the Social Media Addiction Test was used, adapted from the Internet Addiction Test of Echeburua. The collected data were subjected for analysis by descriptive statistics where STATA12 was used. Results: The results show that there is an association between social media dependence and depressive symptoms (PR [Prevalence Ratio] = 2.87, CI [Confidence Interval] 2.03-4.07). It was also shown that preferring the use of Twitter (PR = 1.84, CI 1.21-2.82) over Instagram (PR = 1.61, CI 1.13-2.28) is associated with depressive symptoms when compared to the use of Facebook. Conclusion: Excessive social media use is associated with depressive symptoms in university students, being more prominent in those who prefer the use of Twitter over Facebook and Instagram.
机译:背景:本研究的目的是确定社交媒体依赖性和抑郁症状之间的关联,以及表征依赖程度。这是一个横向,分析研究。受试者和方法:分层样本是来自Facebook,Instagram和/或Twitter的私立大学的212名学生。为了测量抑郁症状,使用Beck抑郁库存,并测量对社交媒体的依赖,使用了社交媒体成瘾测试,适应了Echeburua的互联网成瘾试验。通过使用STATA12的描述性统计数据进行收集的数据进行分析。结果:结果表明,社交媒体依赖性和抑郁症状之间存在关联(PR [患病率] = 2.87,CI [置信区间] 2.03-4.07)。还表明,与Facebook的使用相比,霍尔over instagram(pr = 1.84,ci 1.21-2.82)的使用(pr = 1.84,ci 1.21-2.82)与抑郁症状有关。结论:过度的社交媒体使用与大学生抑郁症状有关,在那些喜欢在Facebook和Instagram上使用推特的人更加突出。

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