Original Article

Analysis on the Relationships of Smartphone Addiction, Learning Engagement, Depression, and Anxiety: Evidence from China


Background: With the popularization of the Internet and smartphones, smartphone addiction among college students is becoming increasingly common, causing the problems of their learning engagement, anxiety, and depression. The study aimed to analyze the relationships of smartphone addiction, learning engagement, anxiety and depression among Chinese college students.

Method: Based on the Self-Determination Theory, in January 2023, 780 college students from 6 universities in Heilongjiang Province in China were selected as examples for the study. Internet Addiction Test, Utrecht Work Engagement Scale-Student, Chinese version of Beck Depression Inventory-II, and Spielberger Trait Anxiety Inventory were employed to measure smartphone use, learning engagement, depression, and anxiety among college students. Pearson correlation and multiple logistic regressions were also used.

Results: Smartphone use was negatively correlated with learning engagement (r = -0.097, P < 0.001), whereas it was positively correlated with depression (r = 0.184) and anxiety (r = 0.18, P < 0.001). Significant differences were observed in learning engagement and depression and anxiety symptoms in different degrees of smartphone use. Taking severe smartphone addiction as a comparison standard, depression and anxiety symptoms had a significant influence on different levels of smartphone use, whereas learning engagement did not have a significant influence on different smartphone use levels.

Conclusion: The intervention and prevention of college students’ smartphone addiction can improve their learning engagement, relieve their anxiety and depression, and enhance their mental health level.


1. Yang L, Lu H, Wang S, et al (2021). Mobile Internet use and multidimensional pov-erty: Evidence from a household survey in rural China. Soc Indic Res, 158(3): 1065-1086.
2. Pangrazio L, Selwyn N (2018). “It’s not like its life or death or whatever”: Young people’s understandings of social media data. Soc Media Soc, 4(3): 1-9.
3. Nowland R, Necka EA, Cacioppo JT (2018). Loneliness and social Internet use: Pathways to reconnection in a digi-tal world? Perspect Psychol Sci, 13(1): 70-87.
4. Liu F, Zhang ZH, Chen L (2020). Mediating effect of neuroticism and negative cop-ing style in relation to childhood psy-chological maltreatment and smartphone addiction among college students in China. Child Abuse Negl, 106: 104531.
5. Roberts J, Yaya L, Manolis C (2014). The invisible addiction: Cell-phone activities and addiction among male and female college students. J Behav Addict, 3(4): 254-65.
6. Beranuy M, Oberst U, Carbonell X, et al (2009). Problematic Internet and mobile phone use and clinical symptoms in col-lege students: The role of emotional in-telligence. Comput Hum Behav, 25(5): 1182-7.
7. Lee Y, Kim J (2019). The effect of smartphone addiction on learning dis-order among adolescents: Focused on the mediation effect of ADHD. Korea Acad of Care Manag, 31: 105-26.
8. Park I, Kim S, Suh Y (2020). The mediating effect of insecure adult attachment on the relationship between smartphone addiction and self-directed learning in university students. Nurs Rep, 10(2): 124-34.
9. Fang LT, Shi K, Zhang F-h (2008). Study on the reliability and validity of Chinese version of learning engagement scale. Chinese J Clin Psychol, 16(6): 618-20.
10. Wu L, Ma CS (2022). An empirical study on the relationship among mental health, learning engagement, and academic self-efficacy of senior high school stu-dents. J Environ Public Health, 2022:4253142.
11. Kwon M, Kim DJ, Cho H, et al (2013). The smartphone addiction scale: Develop-ment and validation of a short version for adolescents. PLoS One, 8(12): e83558.
12. Lee JNT, Foo KH, Adams A, et al (2015). Strengths of character, orientations to happiness, life satisfaction and purpose in Singapore. J Trop Psychol, 5: 1-21.
13. Okasha T, Saad A, Ibrahim I, et al (2022). Prevalence of smartphone addiction and its correlates in a sample of Egyp-tian university students. Int J Soc Psychia-try, 68(8):1580-8.
14. Kim E, Cho I, Kim EJ (2017). Structural equation model of smartphone addic-tion based on Adult Attachment Theory: Mediating effects of loneliness and de-pression. Asian Nurs Res (Korean Soc Nurs Sci), 11(2): 92-7.
15. Mohamed SM, Mostafa MH (2020). Impact of smartphone addiction on depression and self-esteem among nursing students. Nurs Open, 7(5): 1346-53.
16. Huang SH, Li SY, Hong ZJ, et al (2022). Life meaning and death anxiety among col-lege students: The mediating role of state boredom and Internet information addiction. Chinese J Health Psychol, (4): 592-5.
17. Sternberg N, Luria R, Chandhok S, et al (2020). When Facebook and finals col-lide - Procrastinatory social media usage predicts enhanced anxiety. Comput Hum Behav, 109 (8): 106358.
18. Khawaja NG, Bryden KJ (2006). The de-velopment and psychometric investiga-tion of the university student depression inventory. J Affect Disord, 96(1-2): 21-9.
19. Deci EL, Olafsen AH, Ryan RM (2017). Self-determination Theory in work or-ganizations: The state of a science. Annu Rev Organ Psycho Organ Behav, 4(1): 19-43.
20. Young KS (1998). Internet addiction: The emergence of a new clinical disorder. CyberPyschol Behav, 1(3): 237-44.
21. Schaufeli WB, Salanova M, Gonzalez-Romá V, et al (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic ap-proach. J Happiness Stud, 3: 71-92.
22. Jiang SL, Yang WH (2019). Factor structure of Chinese version of Beck Depression Scale-II in Chinese college students. Chinese J Clin Psychol, 28(2):299-305.
23. Li WL, Qian MY (1995). Revision of the norm of State Trait Anxiety Scale for Chinese college students. J Peking Univ (Nat Sci), (1): 108-12.
24. Ruffinengo C, Versino E, Renga G (2009). Effectiveness of an informative video on reducing anxiety levels in patients undergoing elective coronarography: An RCT. Eur J Cardiovasc Nurs, 8(1): 57-61.
25. Li Y, Yao C, Zeng S, et al (2019). How social networking site addiction drives univer-sity students’ academic achievement: The mediating role of learning engage-ment. J Pacific Rim Psychol, 13(e19).
26. Sahin S, Ozdemir K, Unsal A, et al (2013). Evaluation of mobile phone addiction level and sleep quality in university stu-dents. Pak J Med Sci, 29(4): 913-918.
27. Alapin I, Fichten CS, Libman E, et al (2000). How is good and poor sleep in older adults and college students related to daytime sleepiness, fatigue, and ability to concentrate? J Psychosom Res, 49(5): 381-90.
28. Baumeister RF, Vohs KD, Tice DM (2007). The strength model of self-control. Curr Dir Psychol Sci, 16(6):351-5.
29. Zhuang J, Mou Q, Zheng T, et al (2023). A serial mediation model of social media addiction and college students’ academ-ic engagement: The role of sleep quality and fatigue. BMC Psychiatry, 23(1): 333.
30. Shi W, Ding SS, Ding L, et al (2018). Analy-sis of the Correlation between Internet Dependence and Mental Health in Col-lege Students. Chinese J Dis Control, (11): 1156-9.
IssueVol 52 No 11 (2023) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/ijph.v52i11.14033
Smartphone addiction Mental health Learning engagement Depression Anxiety

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How to Cite
Peng B. Analysis on the Relationships of Smartphone Addiction, Learning Engagement, Depression, and Anxiety: Evidence from China. Iran J Public Health. 2023;52(11):2333-2342.