Institute of Psychology, University of Lausanne, Quartier UNIL-Mouline, Bâtiment Géopolis, CH-1015 Lausanne, Switzerland.
Faculty of Human and Social Sciences, UKE - Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy.
Addict Behav. 2024 Mar;150:107914. doi: 10.1016/j.addbeh.2023.107914. Epub 2023 Nov 19.
In our original research article entitled "Deconstructing the components model of addiction: an illustration through "addictive" use of social media" (Fournier et al., 2023), we showed that the Bergen Social Media Addiction Scale, a six-item psychometric instrument derived from the components model of addiction to assess social media "addiction", did not form a unitary, but a bidimensional construct in which some components (i.e., salience, tolerance) were not associated with psychopathological symptoms, thus conflating central and peripheral features of addiction. Subsequently, in a recent commentary, Amendola (2023) sought to determine whether our findings were driven by the use of data aggregated from multiple independent datasets, i.e., a decision we transparently acknowledged as a limitation in our original research article. Following their re-analysis, Amendola (2023) claimed to have demonstrated that a unidimensional model best fitted the data. However, they only reported results for a partial set of models relevant to this investigation. In the present reply, through a transparent assessment and reporting of all unidimensional and bidimensional models relevant to this investigation, we show that the bidimensionality of the Bergen Social Media Addiction Scale is, in fact, tenable, robust, and consistent across multiple independent datasets. In line with the growing evidence demonstrating that many sets of criteria involved in operationalizing behavioral addictions pathologize involvement in appetitive behaviors, these results highlight the necessity to renew the conceptualization and assessment of behavioral addictions.
在我们题为“解构成瘾成分模型:通过‘成瘾性’使用社交媒体进行说明”的原始研究文章中(Fournier 等人,2023 年),我们表明, Bergen 社交媒体成瘾量表是一种六项目心理计量工具,源自成瘾成分模型,用于评估社交媒体“成瘾”,但它并未形成单一的、而是双维度的结构,其中一些成分(即突显、耐受性)与精神病理症状无关,从而混淆了成瘾的核心和外围特征。随后,在最近的一篇评论中,Amendola(2023 年)试图确定我们的发现是否是由从多个独立数据集汇总的数据驱动的,即我们在原始研究文章中明确承认的一个局限性。在他们的重新分析之后,Amendola(2023 年)声称已经证明了单维度模型最适合数据。然而,他们只报告了与这项调查相关的部分模型的结果。在本回复中,我们通过透明评估和报告与这项调查相关的所有单维度和双维度模型,表明 Bergen 社交媒体成瘾量表的双维度实际上是可行的、稳健的,并且在多个独立数据集之间具有一致性。与越来越多的证据表明,许多操作行为成瘾的标准集将参与享乐行为病理化一致,这些结果强调了更新行为成瘾的概念化和评估的必要性。