Correlation between stress and Internet addiction among middle school students in Shanghai

YUAN Linlin; ZHANG Zhe; ZHOU Xinyi; ZHAI Yani; YIN Xiaoya; LI Shuman; SUN Lijing

doi:10.16835/j.cnki.1000-9817.2024369

Volume 45 Issue 12

Dec. 2024

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2024 > 45(12): 1757-1760

YUAN Linlin, ZHANG Zhe, ZHOU Xinyi, ZHAI Yani, YIN Xiaoya, LI Shuman, SUN Lijing. Correlation between stress and Internet addiction among middle school students in Shanghai[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(12): 1757-1760. doi: 10.16835/j.cnki.1000-9817.2024369

Citation:

YUAN Linlin, ZHANG Zhe, ZHOU Xinyi, ZHAI Yani, YIN Xiaoya, LI Shuman, SUN Lijing. Correlation between stress and Internet addiction among middle school students in Shanghai[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(12): 1757-1760. doi: 10.16835/j.cnki.1000-9817.2024369

Citation:

YUAN Linlin, ZHANG Zhe, ZHOU Xinyi, ZHAI Yani, YIN Xiaoya, LI Shuman, SUN Lijing. Correlation between stress and Internet addiction among middle school students in Shanghai[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(12): 1757-1760. doi: 10.16835/j.cnki.1000-9817.2024369

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Correlation between stress and Internet addiction among middle school students in Shanghai

doi: 10.16835/j.cnki.1000-9817.2024369

Institute of Child and Adolescent Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai(200336), China

Received Date: 2024-08-08
Rev Recd Date: 2024-11-01

Available Online: 2025-01-07

Publish Date: 2024-12-25

Abstract

Abstract

Objective To understand the relationship between stress and Internet addiction among middle school students in Shanghai, so as to provide a scientific basis for promoting students' mental health and preventing Internet addiction. Methods From May to June 2021, a stratified random cluster sampling method was used to select 6 123 middle and high school students in Shanghai for health risk behavior monitoring. Daily Stressors Evaluation Scale for Urban Secondary School Students was used to evaluate students' stress, and the Internet Addiction Test compiled by Young was used to evaluate students' Internet addiction. The correlation between student stress and Internet addiction was analyzed by Kruskal-Wallis H test, Chi-square test and multiple Logistic regression. Results Total stress score of middle school students in Shanghai was 24 (12, 39), academic stress score was 8 (5, 13), physical and psychological stress score was 6 (2, 10), interpersonal stress score was 5 (1, 9), and family stress score was 4 (1, 8). The detection rate of Internet addiction was 4.7%. Multivariate Logistic regression analysis showed that the risk of Internet addiction among middle school students with high levels of stress was 8.05 times(95%CI=4.59-14.12) that of students with low levels of stress(P < 0.05). The risk of Internet addiction among middle school students with high levels of academic stress, physical and psychological stress, interpersonal stress and family stress was 5.98(95%CI=3.69-9.70), 6.92(95%CI=4.03-11.88), 4.85(95%CI=3.11-7.55), and 4.18(95%CI=2.73-6.40) times that of students with low levels of stress, respectively(P < 0.05). Conclusion The academic stress, physical and psychological stress, interpersonal stress, and family stress among middle school students can all lead to an increased risk of Internet addiction.
- Pressure,
- Internet,
- Behavior, addictive,
- Regression analysis,
- Students

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References(23)

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