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社交媒体与抑郁症状:网络视角

Social media and depression symptoms: A network perspective.

机构信息

Department of Clinical Psychology, University of Amsterdam.

Department of Psychology, Harvard University.

出版信息

J Exp Psychol Gen. 2019 Aug;148(8):1454-1462. doi: 10.1037/xge0000528. Epub 2018 Dec 3.

DOI:10.1037/xge0000528
PMID:30507215
Abstract

Passive social media use (PSMU)-for example, scrolling through social media news feeds-has been associated with depression symptoms. It is unclear, however, if PSMU causes depression symptoms or vice versa. In this study, 125 students reported PSMU, depression symptoms, and stress 7 times daily for 14 days. We used multilevel vector autoregressive time-series models to estimate (a) contemporaneous, (b) temporal, and (c) between-subjects associations among these variables. (a) More time spent on PSMU was associated with higher levels of interest loss, concentration problems, fatigue, and loneliness. (b) Fatigue and loneliness predicted PSMU across time, but PSMU predicted neither depression symptoms nor stress. (c) Mean PSMU levels were positively correlated with several depression symptoms (e.g., depressed mood and feeling inferior), but these associations disappeared when controlling for all other variables. Altogether, we identified complex relations between PSMU and specific depression symptoms that warrant further research into potentially causal relationships. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

摘要

被动式社交媒体使用(PSMU)——例如,滚动社交媒体新闻Feed——与抑郁症状有关。然而,尚不清楚 PSMU 是否会导致抑郁症状,或者反之亦然。在这项研究中,125 名学生在 14 天内每天 7 次报告 PSMU、抑郁症状和压力。我们使用多层次向量自回归时间序列模型来估计(a)同时、(b)时间和(c)这些变量之间的个体间关联。(a)PSMU 花费的时间越多,与兴趣丧失、注意力问题、疲劳和孤独感越高有关。(b)疲劳和孤独感预测了跨时间的 PSMU,但 PSMU 既不能预测抑郁症状也不能预测压力。(c)PSMU 的平均水平与几种抑郁症状(例如,情绪低落和自卑感)呈正相关,但在控制所有其他变量后,这些关联消失了。总的来说,我们确定了 PSMU 与特定抑郁症状之间的复杂关系,这需要进一步研究潜在的因果关系。(APA,2019 年;所有权利保留)。

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