Stress-buffering pattern of positive events on adolescents: An exploratory study based on social networks

Stress-buffering pattern of positive events on adolescents: An exploratory study based on social networks
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青少年积极事件的压力缓冲模式:基于社交网络的探索性研究

DOI:
10.1016/j.chb.2020.106565
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发表时间:
2021-01
影响因子:
9.9
通讯作者:
Ling Feng
Ling Feng
中科院分区:
心理学1区
文献类型:
--
作者:
Qi Li;Liang Zhao;Yuanyuan Xue;Ling Feng

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压力被认为是心理健康问题的主要原因。然而,积极的事件可以作为压力的缓冲。由于以往的研究主要通过主观自我报告来考察积极事件的压力缓冲效应,因此在个体行为水平上的持续跟踪研究仍有待探索。本研究以500名高中生为被试,收集了27,346条微博,从内容和行为两个层面考察了积极事件与压力缓冲模式之间的关系。通过一项对考试安排的初步研究,我们发现,参加考试的学生与邻近的积极事件似乎表现出较低的压力和更稳定的压力波动。大多数学生谈论考试时,积极的事件发生在附近。基于自动提取的微博正面事件(n= 1,914),进一步对正面事件的压力缓冲效应和正面事件冲击下压力强度的单调变化进行假设检验。结果表明,积极事件的压力缓冲效应与青少年的压力变化模式、微博语言表达和发帖行为密切相关。研究还表明,积极事件缓冲了压力源事件引起的压力强度的单调变化。基于这些理论研究结果,压力缓冲模式周围的积极事件进一步纳入压力预测青少年。这项研究可以为使用社交网络来估计和跟踪压力下青少年的心理健康转变提供信息。最后,本文讨论了本研究的理论和实践意义、局限性以及未来的研究方向。
Stress is viewed as the leading cause of mental health issues. Positive events, however, could act as a buffer against stress. Since the stress-buffering effects of positive events in previous studies were mainly examined by subjective self-reporting, continuous tracking research at individual behavioral levels still remains to be explored. In this study, we collected microblogs (n= 27,346) from a group of high school students (n= 500) to examine the relationship between positive events and stress-buffering patterns at both the content and behavioral levels. Through a pilot study of scheduled exams, we found that students taking exams with neighboring positive events appeared to exhibit less intense stress and more stable stress fluctuations. Most students talked less about exams when positive events occurred nearby. Hypothetical tests for stress-buffering effects of positive events and monotonic changes in the stress intensity under the impact of positive events were further conducted based on automatically extracted positive events (n= 1,914) from the microblogs. The results showed that the stress-buffering effects of positive events were closely correlated with adolescents’ stress-change modes, microblog linguistic expressions, and posting behaviors. The study also showed that positive events buffered monotonic changes in stress intensity caused by stressor events. Based on these theoretical findings, the stress-buffering patterns around positive events were further incorporated for stress prediction in adolescents. This study could inform the use of social networks to estimate and track mental health transition in adolescents under stress. The theoretical and practical implications, limitations of this study and future work are discussed.
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