Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China; Department of Psychology, University of Toledo, Toledo, OH, USA; Department of Psychiatry, University of Toledo, Toledo, OH, USA.
Department of Psychology, University of Toledo, Toledo, OH, USA; Institute of Psychology, University of Tartu, Tartu, Estonia.
J Affect Disord. 2019 Mar 1;246:209-216. doi: 10.1016/j.jad.2018.12.047. Epub 2018 Dec 18.
Problematic smartphone use (PSU) is associated with depression and anxiety symptom severity throughout the literature. However, many important psychopathology constructs have not been examined for associations with PSU severity. Worry and anger are two psychopathology constructs receiving little empirical scrutiny in relation to PSU, but theoretically should demonstrate significant relationships. Furthermore, few studies have used person-centered analyses, such as mixture modeling, to analyze possible latent subgroups of individuals based on PSU symptom ratings.
We conducted a web survey of 300 American college students, using the Smartphone Addiction Scale-Short Version, Penn State Worry Questionnaire-Abbreviated Version, and Dimensions of Anger Reactions-5 Scale.
Conducting mixture modeling using latent profile analysis, we found most support for a three-class model of latent groups of individuals based on their PSU item ratings. Adjusting for age and sex, worry and anger scores were significantly higher in the more severe PSU classes.
Results are discussed in the context of uses and gratifications theory, as well as compensatory internet use theory, in terms of individual differences explaining excessive technology use.
Limitations include the non-clinical nature of the sample.
Worry and anger may be helpful constructs in understanding the phenomenology of PSU, and psychological interventions for worry and anger may offset PSU.
在整个文献中,智能手机使用问题(PSU)与抑郁和焦虑症状的严重程度有关。然而,许多重要的精神病理学结构尚未被研究与 PSU 严重程度的关联。担忧和愤怒是两个在与 PSU 相关的实证研究中很少受到关注的精神病理学结构,但从理论上讲,它们应该表现出显著的关系。此外,很少有研究使用基于 PSU 症状评分的个体潜在亚组的个体中心分析(如混合建模)。
我们对 300 名美国大学生进行了网络调查,使用智能手机成瘾量表短版、宾夕法尼亚州担忧问卷简化版和愤怒反应维度 5 量表。
使用潜在剖面分析进行混合建模,我们发现最支持基于 PSU 项目评分的个体潜在亚组的三分类模型。调整年龄和性别后,在更严重的 PSU 类别中,担忧和愤怒得分显著更高。
结果在使用和满足理论以及补偿性互联网使用理论的背景下进行了讨论,涉及解释过度技术使用的个体差异。
限制包括样本的非临床性质。
担忧和愤怒可能是理解 PSU 现象学的有用结构,并且对担忧和愤怒的心理干预可能会抵消 PSU。