Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Sep 6:11:1252371.
doi: 10.3389/fpubh.2023.1252371. eCollection 2023.

Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students

Affiliations

Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students

Aleksandra Nikolic et al. Front Public Health. .

Abstract

Introduction: Studies consistently link excessive smartphone use to poor sleep quality, depression, anxiety, and stress. This study specifically aimed to investigate these associations among medical students in Belgrade and Nis (Central Serbia).

Materials and methods: The cross-sectional study included a sample of 761 students, who were selected from both the Faculties of Medicine at the University of Belgrade and the University of Nis. Questionnaires, including the International Physical Activity Questionnaire - Short Form (IPAQ-SF), Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale - 21 items (DASS-21), were completed by the participants. Statistical analysis techniques, such as the Chi-square test, student's t-test, and logistic regression, were employed to examine the relationship between smartphone addiction, physical activity, sleep quality, depression, anxiety, and stress.

Results: The findings indicated a prevalence of smartphone addiction among medical students at 21.7%, with rates of 22.9% among males and 21.1% among females. Females exhibited significantly higher scores on the SAS-SV scale compared to males (p = 0.032). Univariate logistic regression analysis revealed significant associations between smartphone addiction and spending over 4 h daily on smartphones (OR = 2.39; p < 0.001), poor sleep quality (OR = 1.65; p = 0,005), as well as elevated levels of stress (OR = 1.75; p = 0.003), anxiety (OR = 2.04; p < 0.001), and depression (OR = 2.29; p < 0.001). Multivariate regression analysis identified spending more than 4 h daily on smartphones (OR = 2.39; p < 0.001) and increased levels of depression (OR = 2.51; p < 0.001) as independent significant factors associated with smartphone addiction.

Conclusion: This study sheds light on the prevalence of smartphone addiction among medical students, with spending excessive time on smartphones and higher levels of depression standing out as significant factors. Future research should delve into the underlying mechanisms and causal relationships between smartphone addiction and these psychosocial factors. Understanding these connections will aid in developing effective interventions and strategies to tackle this growing public health concern.

Keywords: anxiety; depression; sleep quality; smartphone addiction; stress.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Similar articles

Cited by

References

    1. smartphone noun - Definition, pictures, pronunciation and usage notes | Oxford advanced Learner’s dictionary at OxfordLearnersDictionaries.Com. Available at: https://www.oxfordlearnersdictionaries.com/definition/english/smartphone... (Accessed May 12, 2021).
    1. Mobile network subscriptions worldwide 2028 . Statista. Available at: https://www.statista.com/statistics/330695/number-of-smartphone-users-wo... (Accessed June 13, 2023).
    1. Clayton RB, Leshner G, Almond A. The extended iSelf: the impact of iPhone separation on cognition, emotion, and physiology. J Comput-Mediat Commun. (2015) 20:119–35. doi: 10.1111/jcc4.12109 - DOI
    1. Cazzulino F, Burke RV, Muller V, Arbogast H, Upperman JS. Cell phones and young drivers: a systematic review regarding the association between psychological factors and prevention. Traffic Inj Prev. (2014) 15:234–42. doi: 10.1080/15389588.2013.822075 - DOI - PubMed
    1. Kumcagiz H. Quality of life as a predictor of smartphone addiction risk among adolescents. Tech Know Learn. (2019) 24:117–27. doi: 10.1007/s10758-017-9348-6, PMID: - DOI - PubMed

Publication types