Andrade André Luiz Monezi, Scatena Adriana, Martins Gabriella Di Girolamo, Pinheiro Bruno de Oliveira, Becker da Silva Andressa, Enes Carla Cristina, de Oliveira Wanderlei Abadio, Kim Dai-Jin
Center of Life Science, Pontifical Catholic University of Campinas, Campinas, Brazil.
Department of Psychobiology, Federal University of Sao Paulo, Sao Paulo, Brazil.
Addict Behav. 2020 Nov;110:106540. doi: 10.1016/j.addbeh.2020.106540. Epub 2020 Jul 4.
The objectives of this study were to analyze the psychometric properties of the Smartphone Addiction Scale - Short Version (SAS-SV) as follows: (i) the factor structure of the SAS-SV using different statistical methods; (ii) the evidence of convergence; (iii) the temporal stability of the SAS-SV; and (iv) predictive SAS-SV validity. A total of 451 adolescents participated in this study (age M = 13.1; SD = 1.22) by completing a sociodemographic questionnaire (including items evaluating the perception of smartphone use), the Internet Addiction Test (IAT), and the SAS-SV. It was found that 53.2% demonstrated problematic smartphone use. The SAS-SV showed good reliability (α = 0.81; ω = 0.78), and all of its items were kept. The network analysis indicated that the items evaluating the withdrawal and preoccupation symptoms had the greatest influence on the network. The intraclass correlation coefficient was 0.846 and indicated good temporal stability of the SAS-SV 20-30 days after the first application. The receiver operating characteristic (ROC) curve analysis indicated 33 points as the best cutoff for the SAS-SV (AUC = 0.739; sensitivity = 65.37%; specificity = 72.26). The instrument also showed a moderate correlation with the variables related to smartphone use (time spent on smartphones, number of messages sent and received, and number of times the smartphone is checked). These data indicate that the SAS-SV may be a reliable instrument for use with Brazilian adolescents.
本研究的目的是分析智能手机成瘾量表简版（SAS-SV）的心理测量特性，具体如下：（i）使用不同统计方法分析SAS-SV的因子结构；（ii）收敛性证据；（iii）SAS-SV的时间稳定性；（iv）SAS-SV的预测效度。共有451名青少年参与了本研究（年龄M = 13.1；标准差SD = 1.22），他们完成了一份社会人口学问卷（包括评估智能手机使用认知的项目）、网络成瘾测试（IAT）和SAS-SV。结果发现，53.2%的青少年表现出有问题的智能手机使用行为。SAS-SV显示出良好的信度（α = 0.81；ω = 0.78），且所有项目均保留。网络分析表明，评估戒断和沉迷症状的项目对网络的影响最大。组内相关系数为0.846，表明首次应用后20 - 30天SAS-SV具有良好的时间稳定性。受试者工作特征（ROC）曲线分析表明，SAS-SV的最佳截断值为33分（曲线下面积AUC = 0.739；灵敏度 = 65.37%；特异度 = 72.26%）。该工具还与智能手机使用相关变量（在智能手机上花费的时间、收发的短信数量以及查看智能手机的次数）显示出中等程度的相关性。这些数据表明，SAS-SV可能是一种适用于巴西青少年的可靠工具。
