International Journal of High Risk Behaviors and Addiction

Published by: Kowsar

Validation of the Persian Smartphone Addiction Scale Among Tehran University Students, Iran

Ali Kheradmand 1 , Elham Sadat Amirlatifi 2 , * , Mohammad-Reza Sohrabi 3 and Azadeh Mazaheri Meybodi 1
Authors Information
1 Taleghani Hospital Research Development Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
2 School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
3 Department of Community Medicine, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
Article information
  • International Journal of High Risk Behaviors and Addiction: March 31, 2019, 8 (1); e81176
  • Published Online: March 18, 2019
  • Article Type: Research Article
  • Received: June 23, 2018
  • Revised: March 6, 2019
  • Accepted: March 9, 2019
  • DOI: 10.5812/ijhrba.81176

To Cite: Kheradmand A, Amirlatifi E S, Sohrabi M, Mazaheri Meybodi A. Validation of the Persian Smartphone Addiction Scale Among Tehran University Students, Iran, Int J High Risk Behav Addict. 2019 ; 8(1):e81176. doi: 10.5812/ijhrba.81176.

Copyright © 2019, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
1. Background
2. Objectives
3. Patients and Methods
4. Results
5. Discussion
  • 1. Sim MS, Kim EM. The smart phone use survey. Seoul: Korea Communications Commission Press; 2011.
  • 2. Mok JY, Choi SW, Kim DJ, Choi JS, Lee J, Ahn H, et al. Latent class analysis on Internet and smartphone addiction in college students. Neuropsychiatr Dis Treat. 2014;10:817-28. doi: 10.2147/NDT.S59293. [PubMed: 24899806]. [PubMed Central: PMC4038421].
  • 3. Alejalil N, Davoodi SR. Mobile phone usage and its effects on pedestrians’ distraction. Int J High Risk Behav Addict. 2016;6(3). doi: 10.5812/ijhrba.35431.
  • 4. Choi SW, Kim DJ, Choi JS, Ahn H, Choi EJ, Song WY, et al. Comparison of risk and protective factors associated with smartphone addiction and Internet addiction. J Behav Addict. 2015;4(4):308-14. doi: 10.1556/2006.4.2015.043. [PubMed: 26690626]. [PubMed Central: PMC4712765].
  • 5. Ghasemi Naraghi H. [The number of smartphone users in Iran reaches 40 million]. 2018, [cited 2015 May 13]. Persion. Available from:
  • 6. Financial Tribune. [Latest data on iran surge in social media use]. 2019, [cited 2018 Feb 6]. Persian. Available from:
  • 7. Chiu SI. The relationship between life stress and smartphone addiction on taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Comput Hum Behav. 2014;34:49-57. doi: 10.1016/j.chb.2014.01.024.
  • 8. Samaha M, Hawi NS. Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Comput Hum Behav. 2016;57:321-5. doi: 10.1016/j.chb.2015.12.045.
  • 9. Kwon M, Lee JY, Won WY, Park JW, Min JA, Hahn C, et al. Development and validation of a smartphone addiction scale (SAS). Plos One. 2013;8(2).
  • 10. Alavi SS, Eslami M, Maracy MR, Najafi M, Jannatifard F, Rezapour H. Psychometric properties of young Internet addiction test. Int J Behav Sci. 2010;4(3):183-9.
  • 11. Kwon M, Kim DJ, Cho H, Yang S. The smartphone addiction scale: Development and validation of a short version for adolescents. PLoS One. 2013;8(12). e83558. doi: 10.1371/journal.pone.0083558. [PubMed: 24391787]. [PubMed Central: PMC3877074].
  • 12. Institute for Digital Research and Education. A practical introduction to factor analysis: Exploratory factor analysis. UCLA: Statistical consulting group. 2019. Available from:
  • 13. Ching SM, Yee A, Ramachandran V, Sazlly Lim SM, Wan Sulaiman WA, Foo YL, et al. Validation of a malay version of the smartphone addiction scale among medical students in Malaysia. PLoS One. 2015;10(10). e0139337. doi: 10.1371/journal.pone.0139337. [PubMed: 26431511]. [PubMed Central: PMC4592235].
  • 14. Lin YH, Chang LR, Lee YH, Tseng HW, Kuo TB, Chen SH. Development and validation of the smartphone addiction inventory (SPAI). PLoS One. 2014;9(6). e98312. doi: 10.1371/journal.pone.0098312. [PubMed: 24896252]. [PubMed Central: PMC4045675].
  • 15. Modara F, Rezaee-Nour J, Sayehmiri N, Maleki F, Aghakhani N, Sayehmiri K, et al. Prevalence of Internet addiction in Iran: A systematic review and meta-analysis. Addict Health. 2017;9(4):243-52. [PubMed: 30574288]. [PubMed Central: PMC6294487].
  • 16. Lee EB. Too much information: Heavy smartphone and facebook utilization by African American young adults. J Black Stud. 2014;46(1):44-61. doi: 10.1177/0021934714557034.
  • 17. Haug S, Castro RP, Kwon M, Filler A, Kowatsch T, Schaub MP. Smartphone use and smartphone addiction among young people in Switzerland. J Behav Addict. 2015;4(4):299-307. doi: 10.1556/2006.4.2015.037. [PubMed: 26690625]. [PubMed Central: PMC4712764].
  • 18. Lopez-Fernandez O, Honrubia-Serrano L, Freixa-Blanxart M, Gibson W. Prevalence of problematic mobile phone use in British adolescents. Cyber Psychol Behav Soc Network. 2014;17(2):91-8.
  • 19. Mak KK, Lai CM, Watanabe H, Kim DI, Bahar N, Ramos M, et al. Epidemiology of Internet behaviors and addiction among adolescents in six Asian countries. Cyberpsychol Behav Soc Netw. 2014;17(11):720-8. doi: 10.1089/cyber.2014.0139. [PubMed: 25405785].
  • 20. Cha SS, Seo BK. Smartphone use and smartphone addiction in middle school students in Korea: Prevalence, social networking service, and game use. Health Psychol Open. 2018;5(1):2.055102918755E+14. doi: 10.1177/2055102918755046.

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