Author:
Hamamura Toshitaka,Kobayashi Nao,Oka Taiki,Kawashima Issaku,Sakai Yuki,Tanaka Saori C.,Honjo Masaru
Abstract
Abstract
Background
The short version of the smartphone addiction scale (SAS-SV) is widely used to measure problematic smartphone use (PSU). This study examined the validity and reliability of the SAS-SV among Japanese adults, as well as cross-sectional and longitudinal associations with relevant mental health traits and problems.
Methods
Datasets from a larger project on smartphone use and mental health were used to conduct two studies. Participants were adults aged over 20 years who carried a smartphone.
Results
Study 1 (n = 99,156) showed the acceptable internal consistency and structural validity of the SAS-SV with a bifactor model with three factors. For the test-retest reliability of the SAS-SV, the intraclass correlation coefficient (ICC) was .70, 95% CI [.69, 70], when the SAS-SV was measured seven and twelve months apart (n = 20,389). Study 2 (n = 3419) revealed that when measured concurrently, the SAS-SV was strongly positively correlated with another measure of PSU and moderately correlated with smartphone use time, problematic internet use (PIU), depression, the attentional factor of impulsiveness, and symptoms related to attention-deficit hyperactivity disorder and obsessive-compulsive disorder. When measured 12 months apart, the SAS-SV was positively strongly associated with another measure of PSU and PIU and moderately associated with depression.
Discussion
The structural validity of the SAS-SV appeared acceptable among Japanese adults with the bifactor model. The reliability of the SAS-SV was demonstrated in the subsequent seven- and twelve-month associations.
Conclusion
The cross-sectional and longitudinal associations of the SAS-SV provided further evidence regarding PSU characteristics.
Funder
KDDI Corporation
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,General Medicine
Cited by
1 articles.
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1. AI, Mindfulness, and Emotional Well-Being;AI and Emotions in Digital Society;2023-12-18