Csibi Sándor, Griffiths Mark D, Cook Brian, Demetrovics Zsolt, Szabo Attila
1Department of Ethics and Social Sciences, University of Medicine and Pharmacy, Târgu Mureș, Romania.
2Psychology Department, Nottingham Trent University, 50 Shakespeare Street, Nottingham, NG1 4FQ UK.
Int J Ment Health Addict. 2018;16(2):393-403. doi: 10.1007/s11469-017-9787-2. Epub 2017 Jul 18.
The goal of the study was to validate the English version of the Smartphone Application-Based Addiction Scale (SABAS; Csibi et al. 2016), which is a short and easy-to-use tool for screening the risk of smartphone application-based addiction. Another aim was to identify the most frequently used smartphone applications and their perceived importance by the participants. Data were collected online from 240 English-speaking volunteers, aged 18 to 69 years. The instruments used were the SABAS, the Nomophobia Questionnaire (NMP-Q), the Brief Sensation Seeking Scale (BSSS), the Deprivation Sensation Scale (DSS), and the Patient Health Questionnaire (PHQ-9). Participants also ranked the importance of their most frequently used smartphone applications. The six items of the SABAS yielded one component, which accounted for 52.38% of the total variance. The internal reliability of the scale was good (Cronbach's alpha 0.81). NMP-Q was a significant predictor of SABAS, explaining 17.6% of the total variance. The regression analysis, with SABAS score as the dependent variable and NMP-Q, DSS, PHQ-9, and BSSS scores as predictors, indicated that approximately 47% of the variance in SABAS was accounted for by the predictors ( = 0.47). The English version of the SABAS appears to be a valid and reliable ultra-brief tool for a quick and easy assessment of smartphone application-based addiction symptoms.
该研究的目的是验证基于智能手机应用的成瘾量表（SABAS；Csibi等人，2016年）的英文版本，这是一种用于筛查基于智能手机应用成瘾风险的简短且易于使用的工具。另一个目的是确定参与者最常使用的智能手机应用及其感知到的重要性。数据是从240名年龄在18至69岁的英语志愿者中在线收集的。所使用的工具包括SABAS、无手机恐惧症问卷（NMP-Q）、简短感觉寻求量表（BSSS）、剥夺感量表（DSS）和患者健康问卷（PHQ-9）。参与者还对他们最常使用的智能手机应用的重要性进行了排名。SABAS的六个项目产生了一个成分，占总方差的52.38%。该量表的内部信度良好（克朗巴哈系数为0.81）。NMP-Q是SABAS的一个显著预测因子，解释了总方差的17.6%。以SABAS分数为因变量，NMP-Q、DSS、PHQ-9和BSSS分数为预测因子的回归分析表明，预测因子解释了SABAS中约47%的方差（=0.47）。SABAS的英文版本似乎是一种有效且可靠的超简短工具，可用于快速简便地评估基于智能手机应用的成瘾症状。
