Rethinking social media and mental health: The role of emotion regulation difficulties

IF 8.9 1区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Daniel J. Brown , Riley Scott , Renee Ireland , Jacqueline Harness , Daniel J. Phipps , Jacob J. Keech
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Abstract

Research, on the whole, does not suggest that time spent on social media is associated with risks to mental health, although it is possible there are more nuances about how people use social media. Further, evidence suggests that individuals with emotion regulation difficulties may be drawn to certain social media behaviours as a means of coping with distress. The present study aimed to examine whether emotion regulation difficulties predict patterns of social media use and, in turn, symptoms of depression and anxiety. We examined four distinct types of social media use: (1) image management-based, (2) social comparison-based, (3) negative engagement-based, and (4) passive consumption-based. Sampling 548 adults aged 18–84 years (Mage = 33.16, SD = 17.37; 401 (73.2 %) female; 128 (23.2 %) male), we tested a structural equation model to examine whether the four distinct types of social media use mediated links between difficulties in emotion regulation at Time 1 and depression and anxiety symptomology at Time 2, one week later. Results suggested that, when controlling for age, difficulties in emotion regulation significantly predicted all types of social media use and symptoms of depression and anxiety over one week. Only comparison-based social media use predicted anxiety symptoms over time. The model explained 50.1 % and 52.1 % of the variance in depression and anxiety symptoms, respectively. Taken together, these findings suggest the critical importance of emotion regulation in predicting mental health. By contrast, with the exception of social comparison and anxiety, no form of social media use predicted mental health outcomes.
重新思考社交媒体与心理健康:情绪调节困难的作用
总的来说,研究并没有表明花在社交媒体上的时间与心理健康风险有关,尽管人们使用社交媒体的方式可能存在更多细微差别。此外,有证据表明,有情绪调节困难的个体可能会被某些社交媒体行为所吸引,作为应对痛苦的一种手段。本研究旨在研究情绪调节困难是否能预测社交媒体的使用模式,进而预测抑郁和焦虑的症状。我们研究了四种不同类型的社交媒体使用:(1)基于形象管理的,(2)基于社会比较的,(3)基于消极参与的,(4)基于被动消费的。548名18-84岁成人(年龄:Mage = 33.16, SD = 17.37),女性401名(73.2%);128(23.2%)男性),我们测试了一个结构方程模型,以检验四种不同类型的社交媒体使用是否介导了时间1的情绪调节困难与时间2(一周后)的抑郁和焦虑症状之间的联系。结果表明,在控制年龄的情况下,情绪调节困难显著预测了一周内所有类型的社交媒体使用以及抑郁和焦虑症状。随着时间的推移,只有基于比较的社交媒体使用才能预测焦虑症状。该模型分别解释了50.1%和52.1%的抑郁和焦虑症状差异。综上所述,这些发现表明情绪调节在预测心理健康方面至关重要。相比之下,除了社会比较和焦虑,没有任何形式的社交媒体使用预测心理健康结果。
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来源期刊
CiteScore
19.10
自引率
4.00%
发文量
381
审稿时长
40 days
期刊介绍: Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.
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