1Department of Psychology, University of Turin, Turin, Italy.
2Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.
J Behav Addict. 2020 Oct 3;9(3):534-550. doi: 10.1556/2006.2020.00069. Print 2020 Oct 12.
Personality is one of the most frequently investigated variables to shed light on the putatively addictive use of the smartphone. By investigating associations between personality and individual differences in addictive smartphone use, researchers aim to understand if some personality traits predispose technology users to develop addictive behaviors. Here, based on existing empirical literature, we aimed at determining the strength of associations between Big Five personality traits and smartphone use disorder (SmUD) by a meta-analytic approach.
For each Big Five personality trait, we performed a meta-analysis of correlations representing their association with SmUD. We also investigated possible publication bias and the moderating effects of age, gender, nationality, length of personality assessments, and time of publication.
We found n = 26 eligible studies. In line with both the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and the framework on problematic mobile-phone use by Billieux, we observed a positive association between Neuroticism and SmUD (r = 0.25), while the association between Extraversion and SmUD was not significant. Partially in line with the aforementioned theoretical frameworks, Conscientiousness was negatively associated with SmUD (r = -0.16). Remaining traits showed smaller associations. No significant publication bias emerged. Moderator analyses showed that time of publication moderated the link between Conscientiousness and SmUD. Moreover, Agreeableness and Conscientiousness showed a heightened inverse association with SmUD among older samples.
The present meta-analysis provides robust empirical evidence that Big Five personality traits can help to understand individual differences in SmUD, supporting the usefulness of their assessment when planning and targeting interventions aimed at at-risk individuals.
人格是研究智能手机潜在成瘾性使用的最常被调查的变量之一。通过研究人格与智能手机成瘾性使用个体差异之间的关系,研究人员旨在了解某些人格特质是否使技术使用者更容易产生成瘾行为。在这里,我们基于现有的实证文献,通过元分析方法确定五大人格特质与智能手机使用障碍(SmUD)之间的关联强度。
对于每一个五大人格特质,我们对代表它们与 SmUD 之间关联的相关进行了元分析。我们还调查了可能存在的发表偏倚以及年龄、性别、国籍、人格评估时间和发表时间的调节作用。
我们发现 n = 26 项符合条件的研究。与互动的人-情感-认知-执行(I-PACE)模型和 Billieux 关于有问题的手机使用的框架一致,我们观察到神经质与 SmUD 呈正相关(r = 0.25),而外向性与 SmUD 之间的关联不显著。部分符合上述理论框架,尽责性与 SmUD 呈负相关(r = -0.16)。其余特质的关联较小。没有出现显著的发表偏倚。调节分析表明,发表时间调节了尽责性与 SmUD 之间的联系。此外,在年龄较大的样本中,宜人性和尽责性与 SmUD 呈更强的负相关。
本元分析提供了有力的实证证据,表明五大人格特质可以帮助理解 SmUD 的个体差异,支持在规划和针对有风险的个体的干预措施时评估其有用性。