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Development Of A Smartphone Overuse Classification Scale

Abstract Background: Smartphone overuse has become prevalent worldwide. The aim of this study is to develop a self-administered scale, the Smartphone Overuse Classification Scale (SOCS) that can be used to screen for different types of smartphone overuse. Methods: The SOCS consists of three subscales: social network app overuse (S-scale), recreational app overuse (R-scale), and information overload (I-scale). A total of 849 participants were recruited to complete questionnaires, including the SOCS, Young’s Diagnosis Questionnaire (Young’s DQ) and a demographic data form. Results: Three factors (cognitive disorder, behavioral disorder, and mood disorder) were extracted from each subscale of the SOCS, and these explained over 60% of the variance of each subscale. The Cronbach’s alpha was 0.849 for the SOCS and 0.813, 0.726, and 0.706 for the S-scale, R-scale and I-scale, respectively. Intra-class correlations for the SOCS and its subscales ranged from 0.768 to 0.879. The SOCS and its subscales were moderately or highly correlated with Young’s DQ. Conclusions: The SOCS may provide a basis for developing specific intervention schemes for different types of smartphone overuse.