Volume 46 Issue 5
May  2025
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YANG Kaize, WANG Daosen, FU Jiaxuan, SU Xintong, ZHAO Jingxian, GONG Ranran, LIN Xinyun, LIU Chuang, LI Xiuhong. Longitudinal association between only-child status and smartphone addiction in middle school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(5): 630-633. doi: 10.16835/j.cnki.1000-9817.2025138
Citation: YANG Kaize, WANG Daosen, FU Jiaxuan, SU Xintong, ZHAO Jingxian, GONG Ranran, LIN Xinyun, LIU Chuang, LI Xiuhong. Longitudinal association between only-child status and smartphone addiction in middle school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(5): 630-633. doi: 10.16835/j.cnki.1000-9817.2025138

Longitudinal association between only-child status and smartphone addiction in middle school students

doi: 10.16835/j.cnki.1000-9817.2025138
  • Received Date: 2025-01-20
  • Rev Recd Date: 2025-02-19
  • Available Online: 2025-06-07
  • Publish Date: 2025-05-25
  •   Objective  To explore the longitudinal association between only-child status and smartphone addiction among middle school students, so as to provide a basis for establishing family intervention measures for smartphone addiction in middle school students.  Methods  In October 2022 and October 2023, a preliminary survey and follow-up were conducted among 8 759 middle and high school students from 30 schools in a district of Shenzhen. A self-designed questionnaire was used to determine whether the students were the only-child, and the Chinese Version of the Smartphone Addiction Scale-Short Version (C-SAS-SV) was utilized to assess the students' smartphone addiction status. A multilevel mixed-effects model and subgroup analysis were applied to examine the association between only-child status and smartphone addiction among middle school students.  Results  During 2022 to 2023, the prevalence of smartphone addiction in the cohort of middle school students increased from 24.1% to 25.2%. Compared with only-child, non-only child were more likely to be addicted to smartphones (adjusted model: OR=1.2, 95%CI=1.1-1.4) and also scored higher on smartphone addiction (adjusted model: β=0.9, 95%CI=0.2-1.5)(P < 0.05). Subgroup analysis further revealed that compared to baseline, non-only child demonstrated an increased prevalence of smartphone addiction (adjusted model: OR=1.2, 95%CI=1.0-1.5) and higher addiction scores (adjusted model: β=0.8, 95%CI=0.2-1.5) after one year(P < 0.05).  Conclusions  Non-only child face higher risk of smartphone addiction. Under the current population policy, it is crucial to address smartphone addiction among middle school students who is not only child.
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