Smartphone Addiction and its Impacts on Loneliness, Happiness, and Satisfaction with Life in Medical Students with Different Personalities During COVID-19 Pandemic

Document Type : Original Article


1 Department of Physiology, Arunai Medical College& Hospital, Tiruvannamalai, India

2 Department of Physiology, All India Institute of Medical Sciences, Guwahati, Assam, India

3 Department of Neuropsychiatry, GNRC Medical, North Guwahati, Assam, India



Background: In this digital era, around the globe, smartphones have become ubiquitous and an indispensable part of everyday 
life. Despite being a highly productive tool, smartphone is often overused or misused leading to addiction. Studies have been 
carried out to assess factors influencing smartphone addiction, but very little focus has been placed on psychosocial changes in 
adults with different personalities, especially among medical students. Hence, this study aimed to investigate the influence of
smartphone addiction on personality among medical students in South India.
Methods: A validated extrovert and Introvert Personality Inventory (IPEI) was administered to assess the personality after obtaining 
the necessary permissions. Using a validated questionnaire, the satisfaction with life, subjective happiness, and loneliness scales 
were administered via Google Forms.
Findings: The results showed there was a statistically significant increase in life satisfaction and loneliness scores among the 
extroverts in the mobile phone addiction group compared with the non-addiction group (P<0.0001).
Conclusion: Considering the impact of cell phones on various factors in adults in different areas can complement the nationwide 
statistics so as to formulate a health policy to address the vulnerable population and thus prevent the deterioration of the 
psychosocial behavior of the young generation.


1. Digital in 2017: Global Overview - We Are Social Singapore. 
Available from:
digital-in-2017-global-overview. Accessed May 2021.
2. Statista. Smartphone Users in India 2015-2022. Available 
from: Accessed May 2021.
3. Kim JH. Currents in internet addiction. J Korean Med Assoc. 
2006;49(3):202-8. doi: 10.5124/jkma.2006.49.3.202.
4. Personality Development. Available from: http://www. 
Accessed May 2021.
5. Brauser D. Smartphone ‘Addiction’ May Affect Adolescent 
Development. Medscape; 2013. Available from: http://www. Updated May 23, 2013. 
Accessed January 21,2014.
6. Bernstein E. Not an Introvert, Not an Extrovert? You May Be 
an Ambivert. Wall Street Journal; 2015. Available from: http://
7. Jarden A. Positive Psychological Assessment: a practical 
introduction to empirically validated research tools for 
measuring wellbeing. Získáno. 2011;2(3):2014.
8. Iverson GL, Franzen MD. The Recognition Memory Test, 
digit span, and Knox Cube Test as markers of malingered 
memory impairment. Assessment. 1994;1(4):323-34. doi: 
9. De Renzi E, Nichelli P. Verbal and non-verbal short-term 
memory impairment following hemispheric damage. Cortex. 
1975;11(4):341-54. doi: 10.1016/s0010-9452(75)80026-8.
10. Dixit S, Shukla H, Bhagwat A, Bindal A, Goyal A, Zaidi AK, 
et al. A study to evaluate mobile phone dependence among 
students of a medical college and associated hospital of 
central India. Indian J Community Med. 2010;35(2):339-41. 
doi: 10.4103/0970-0218.66878.
11. Mohamed Arip MA, Mohammad NH, Ibrahim NH, Husin NS. 
Validity and reliability development of extrovert and introvert 
personality inventory among university students. Int J Acad 
Res Bus Soc Sci. 2017;7(9):451-63. doi: 10.6007/IJARBSS/v7-
12. 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/
13. Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction 
with life scale. J Pers Assess. 1985;49(1):71-5. doi: 10.1207/
14. Lyubomirsky S, Lepper HS. A measure of subjective happiness: 
preliminary reliability and construct validation. Soc Indic Res. 
1999;46(2):137-55. doi: 10.1023/a:1006824100041.
15. Russell D, Peplau LA, Cutrona CE. The revised UCLA 
Loneliness Scale: concurrent and discriminant validity 
evidence. J Pers Soc Psychol. 1980;39(3):472-80. doi: 
16. Kashdan TB, Gallagher MW, Silvia PJ, Winterstein BP, Breen 
WE, Terhar D, et al. The curiosity and exploration inventoryII: development, factor structure, and psychometrics. J Res 
Pers. 2009;43(6):987-98. doi: 10.1016/j.jrp.2009.04.011.
17. Zhou W, Zhou Y, Jiang X, Ning P. Detecting repackaged 
smartphone applications in third-party android marketplaces. 
In: Proceedings of the Second ACM Conference on Data 
and Application Security and Privacy. Association for Computing Machinery (ACM); 2012. p. 317-26. doi: 
18. Samaha M, Hawi NS. Relationships among smartphone 
addiction, stress, academic performance, and satisfaction with 
life. Comput Human Behav. 2016;57:321-5. doi: 10.1016/j.
19. 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/
20. Kuang-Tsan C, Fu-Yuan H. Study on relationship among
university students’ life stress, smart mobile phone addiction, 
and life satisfaction. J Adult Dev. 2017;24(2):109-18. doi: 
21. Negi KS, Godiyal S. College students’ opinion about cell 
phone usage. Int Educ Sci Res J. 2016;2(10):35-8.
22. Pandya CN, Christian DS, Patel MM. A cross-sectional study 
on smartphone addiction among late adolescents and young 
adults (aged 15 to 24 years) of Ahmedabad city, Gujarat, 
India. J Evid Based Med Healthc. 2021;8(9):491-6.
23. Ezoe S, Toda M. Relationships of loneliness and mobile phone 
dependence with Internet addiction in Japanese medical 
students. Open J Prev Med. 2013;3(6):407-12.
24. Kim S, Kim R. A study of internet addiction: status, causes, and 
remedies. Journal of Korean Home Economics Association 
English Edition. 2002;3(1):1-19.
25. Bhatt S, Gaur A. Psychological risk factors associated with 
internet and smartphone addiction among students of an 
Indian dental institute. Indian J Public Health. 2019;63(4):313-
7. doi: 10.4103/ijph.IJPH_330_18.
26. Mahakud GC, Bhola RM. Impact of social networking 
on physical and psychological wellbeing: a cross gender 
study. International Journal of Psychology and Psychiatry. 
2014;2(2):259-74. doi: 10.5958/2320-6233.2014.00013.3 .