2026-03-15T20:51:05Z https://tokushima-u.repo.nii.ac.jp/oai

oai:tokushima-u.repo.nii.ac.jp:02011678 2025-04-28T06:19:08Z 1713853213384:1713853295607

At-risk internet addiction and related factors among senior high school teachers in Japan based on a Nationwide survey フクダ, マリ フクダ, マリ Fukuda, Mari Chowdhury, Mohammad Chowdhury, Tanvir Turin 津村, 秀樹 ツムラ, ヒデキ Tsumura, Hideki 津村 ツムラ Tsumura 秀樹 ヒデキ Hideki ツチエ, リナ ツチエ, リナ Tsuchie, Rina キヌタ, ミナコ キヌタ, ミナコ Kinuta, Minako ヒサマツ, タカシ ヒサマツ, タカシ Hisamatsu, Takashi カンダ, ヒデユキ カンダ, ヒデユキ Kanda, Hideyuki open access This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. epidemiology of mental disorders internet addiction Nationwide survey preventive medicine teachers Background: Internet addiction (IA) has been drawing attention to mental health. However, few reports have been found on the related factors of at-risk IA among regular workers by a nationwide survey. The study aimed to evaluate the characteristics of at-risk IA and identify related factors among senior high school teachers in Japan. Methods: This survey was a cross-sectional survey of high schools across Japan in 2017. There were 3189 teachers (2088 males and 1098 female) who participated in this survey. The questionnaire asked about their devices, both the time and the activities of using their internet, and sociodemographic factors. IA was measured by the internet addiction test (IAT) by which 40–79 points were classified as at-risk IA, and more as IA. We compared the related factors of at-risk IA and non-IA using descriptive analysis and multivariable regression analysis. Results: The rates of IA and at-risk IA were 0.09% (n = 3) and 6.91% (n = 220), respectively. At-risk IA was positively associated with activities on the internet for gaming, entertainment, net-surfing, and younger ages. In addition, the at-risk IA group had a longer time spent on the internet than the non-IA group. Conclusions: Around 7% of high school teachers are at-risk IA in this survey, though they have regular work. Our results suggest that at-risk IA may be reinforced not only by the active internet use such as gaming, but also by purposeless behaviors, such as net-surfing. Managing time on the internet may support preventing at-risk IA among senior high school teachers. The Japanese Society of Neuropsychopharmacology John Wiley & Sons 2023-07-19 eng journal article VoR 398536 https://tokushima-u.repo.nii.ac.jp/records/2011678 https://doi.org/10.1002/npr2.12350 10.1002/npr2.12350 2574173X Neuropsychopharmacology Reports 43 4 553 560 https://tokushima-u.repo.nii.ac.jp/record/2011678/files/npr_43_4_553.pdf application/pdf 331 KB 2024-07-05