To Each Stress Its Own Screen: A Cross-Sectional Survey of the Patterns of Stress and Various Screen Uses in Relation to Self-Admitted Screen Addiction
To Each Stress Its Own Screen: A Cross-Sectional Survey of the Patterns of Stress and Various Screen Uses in Relation to Self-Admitted Screen Addiction
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DOI：
10.2196/11485
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发表时间：
2019-04-02
影响因子：
7.4
通讯作者：
Kakinami, Lisa
中科院分区：
文献类型：
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作者：
Khalili-Mahani, Najmeh;Smyrnova, Anna;Kakinami, Lisa
背景资料：压力和屏幕成瘾之间的关系通常是通过探索屏幕相关行为的一个方面来研究的，即适应不良依赖或与内容相关的风险。一般来说，很少有人注意到不同类型的压力源使用不同的屏幕的模式，而压力和屏幕成瘾的主观感知所产生的变化往往被忽视。鉴于成瘾和压力都是复杂的多维度因素，我们对个体对屏幕成瘾的主观感知、各种类型的压力和屏幕使用模式之间的联系进行了多变量分析。目的：使用媒体-剧目框架研究屏幕使用模式，我们探讨了（1）主观和定量的压力评估与屏幕成瘾之间的关系;（2）与主观屏幕成瘾和不同类型的屏幕需求相关的压力类型差异。我们假设屏幕相关行为的个体间异质性反映了在处理不同压力源时的应对差异。一项基于网络的多因素调查收集了与屏幕相关的行为数据（如屏幕时间、网络成瘾以及不同类型屏幕和相关活动的显著性），以及不同的压力来源（情绪状态、感知风险、健康问题和一般生活领域满意度）。我们根据参与者是否报告自己沉迷于互联网和游戏（Al）或不沉迷于互联网和游戏（A0），以及他们是否经历过重大的生活压力（S1）或没有（S 0）进行了分组比较。在654名调查应答者中，459名获得了完整的应答，其中大多数在S1 A0中（44.6%，205/459）组，其次为S 0A 0（25.9%，119/459）、S1 A1（19.8%，91/459）和S 0A 1（9.5%，44/459）。S1 A1组与S 0A 0组在所有类型的压力、互联网过度使用和屏幕时间上差异均有统计学意义（P
Background: The relationship between stress and screen addiction is often studied by exploring a single aspect of screen-related behavior in terms of maladaptive dependency or the risks associated with the content. Generally, little attention is given to the pattern of using different screens for different types of stressors, and variations arising from the subjective perception of stress and screen addiction are often neglected. Given that both addiction and stress are complex and multidimensional factors, we performed a multivariate analysis of the link between individual's subjective perceptions of screen addiction, various types of stress, and the pattern of screen usage.Objective: Using the media-repertoires framework to study usage patterns, we explored (1) the relation between subjective and quantitative assessments of stress and screen addiction; and (2) differences in stress types in relation to subjective screen addiction and different types of needs for screens. We hypothesized that interindividual heterogeneity in screen-related behavior would reflect coping differences in dealing with different stressors.Methods: A multifactorial Web-based survey was conducted to gather data about screen-related behaviors (such as screen time, internet addiction, and salience of different types of screens and related activities), and different sources of stress (emotional states, perceptual risks, health problems, and general life domain satisfaction). We performed group comparisons based on whether participants reported themselves as addicted to internet and games (Al) or not (A0), and whether they had experienced a major life stress (S1) or not (S0).Results: Complete responses were obtained in 459 out of 654 survey responders, with the majority in the S1A0 (44.6%, 205/459) group, followed by S0A0 (25.9%, 119/459), S1A1 (19.8%, 91/459), and S0A1 (9.5%, 44/459). The S1A1 group was significantly different from S0A0 in all types of stress, internet overuse, and screen time (P