Kerman University of Medical Sciences

Document Type: Original Article


1 Department of Psychology, School of Psychology, TMC Academy, Singapore

2 Department of Psychology, Faculty of Social Sciences and Liberal Arts, UCSI University, Kuala Lumpur, Malaysia


Background: The exponential growth of smartphones has afforded many users with ubiquitous access to socialization as seen in the various mobile apps used to communicate and connect with others. The present study employed mixed-method approaches to analyse the impact of phubbing on social connectedness among adolescents in Malaysia.
Methods:A total of 568 adolescents were participated in quantitative surveys, and of these participating adolescents, 6 were further invited to join focus group interviews.
Findings: Quantitative findings supported the mediating role of communication disturbance in the relationships between phone obsession and familial connectedness, school connectedness, and self-connectedness, but not for friendship connectedness. Qualitative findings further elucidated the detrimental effect of phone obsession on their sense of belonging from the perspectives of adolescents.
Conclusion: This study reaffirms that phubbing behaviour is predictive of social disconnectedness. Therefore, preventive and treatment interventions should be developed to avoid and control a potential risk of social disconnectedness epidemics attribute to phubbing.


GSMA Intelligence. The Mobile Economy 2018
[Online]. [cited 2018] Available from:
2. Mcgrath S. The impact of new media technologies
on social interaction in the household [Online]. [cited
2012 Apr 19]; Available from:
3. Roberts JA, David ME. My life has become a major
distraction from my cell phone: Partner phubbing
and relationship satisfaction among romantic
partners. Comput Human Behav 2016; 54: 134-41.
4. Chyung EJ, Park SS. One million Korean
smartphone users 'at high risk of addiction'. The
Korean Times [Online]. [cited 2017]; Available
from: URL:
5. Zhang LM, Yanhua W. Boy, 5, treated for
smartphone addiction. The News Paper [Online].
[cited 2018 Apr 9]; Available from: URL:
6. 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): e56936.
7. Karadag E, Tosuntas SB, Erzen E, Duru P, Bostan
N, Sahin BM, et al. Determinants of phubbing,
which is the sum of many virtual addictions: A
structural equation model. J Behav Addict 2015;
4(2): 60-74.
8. Walther JB. Theories of computer-mediated
communication and interpersonal relations. In:
Knapp ML, Daly JA, editors. The handbook of
interpersonal communication. 4th ed. Thousand
Oaks, CA: SAGE Publications; 2011. p. 443-79.
9. Thomee S, Harenstam A, Hagberg M. Mobile phone
use and stress, sleep disturbances, and symptoms of
depression among young adults--a prospective
cohort study. BMC Public Health 2011; 11: 66.
10. Babadi-Akashe Z, Zamani BE, Abedini Y, Akbari H,
Hedayati N. The relationship between mental health
and addiction to mobile phones among university
students of Shahrekord, Iran. Addict Health 2014;
6(3-4): 93-9.
11. Lee J, Sung MJ, Song SH, Lee YM, Lee JJ, Cho SM,
Shin YM. Psychological factors associated with
smartphone addiction in south korean adolescents. J
Early Adolesc 2018; 38(3): 288–302.
12. Panova T, Lleras A. Avoidance or boredom:
Negative mental health outcomes associated with use
of information and communication technologies
depend on users’ motivations. Comput Human
Behav 2016; 58: 249-58.
13. Chasombat P. Social networking sites impacts on
interpersonal communication skills and relationships
[MSc Thesis]. Bangkok, Thailand: International
College of National Institute of Development
Administration; 2014.
14. Przybylski AK, Weinstein N. Can you connect with
me now? How the presence of mobile
communication technology influences face-to-face
conversation quality. J Soc Pers Relat 2012; 30(3):
15. Turkle S. Alone Together: Why we expect more
from technology and less from each other. New
York, NY: Basic Books; 2011.
16. Tran TD. The social influence of smartphone usage:
A qualitative research on a segment of Copenhagen
citizens [MSc Thesis]. Copenhagen, Denmark: IT
University of Copenhagen Digital Innovation and
Management; 2019.
17. Misra S, Cheng L, Genevie J, Yuan M. The iPhone
effect: The quality of in-person social interactions in
the presence of mobile devices. Environ Behav 2014;
48(2): 275-98.
18. Drago E. The effect of technology on face-to-face
communication. Elon Journal of Undergraduate
Research in Communications 2015; 6(1): 13-9.
19. Bhardwaj M, Ashok SJ. Mobile phone addiction and
loneliness among teenagers. Int J Indian Psychol
2015; 2(3): 27-34.
20. Boelen M. "Hello! I am sitting right in front of
you..." The influence of phubbing behaviour on
perceived affiliation during face-to-face
conversations in social settings [MSc Thesis].
Tilburg, Netherlands: Tilburg University; 2014.
21. Caughlin JP, Vangelisti AL. Conflict in dating and
marital relationships. In: Oetzel JG, Ting-Toomey S,
editors. The SAGE handbook of conflict
communication: Integrating theory, research, and
practice. Thousand Oaks, CA: SAGE Publications;
2006. p. 129-58.
22. J F, Pullen D, Swabey K. Adolescent use of mobile
phones: A social context. Australian Educational
Computing 2014; 29(1): 1-10.
23. Lenhart A, Ling R, Campbell S, Purcell K. Teens
and mobile phones: Text messaging explodes as
teens embrace it as the centerpiece of their
communication strategies with friends [Pew Internet
and American Life Project]. Washington, DC: Pew
Research Center; 2010.
24. Riedl C, Köbler F, Goswami S, Krcmar H. Tweeting
Phubbing and Connectedness Ang et al.
Addict Health, Winter 2019; Vol 11, No 1 9, 05 January
to feel connected: A model for social connectedness
in online social networks. Int J Hum Comput Interact
2013; 29(10): 670-87.
25. Köbler F, Riedl C, Vetter C Leimeister JM, Krcmar
H. Social connectedness on Facebook - An
explorative study on status message usage.
Proceedings of the16th Americas Conference on
Information Systems (AMCIS 2010); 2010 Aug 12-
15; Lima, Peru.
26. Allen KA, Ryan T, Gray DL, McInerney DM,
Waters L. Social media use and social connectedness
in adolescents: The positives and the potential
pitfalls. The Australian Educational and
Developmental Psychologist 2014 31(1): 18-31.
27. van Bel DT, Smolders KCHJ, Ijsselsteijn WA, De
Kort YAW. Social connectedness: Concept and
measurement. Proceedings of the 5th International
Conference on Intelligent Environments (IE '09);
2009 Jul 20-21; Barcelona, Spain.
28. Uchino BN, Cacioppo JT, Kiecolt-Glaser JK. The
relationship between social support and
physiological processes: A review with emphasis on
underlying mechanisms and implications for health.
Psychol Bull 1996; 119(3): 488-531.
29. Stoddard SA, McMorris BJ, Sieving RE. Do social
connections and hope matter in predicting early
adolescent violence? Am J Community Psychol
2011; 48(3-4): 247-56.
30. Zimmerman MA, Bingenheimer JB, Notaro PC.
Natural mentors and adolescent resiliency: A study
with urban youth. Am J Community Psychol 2002;
30(2): 221-43.
31. DuBois DL, Silverthorn N. Natural mentoring
relationships and adolescent health: Evidence from
a national study. Am J Public Health 2005; 95(3):
32. Karcher MJ. The hemingway measure of adolescent
connectednes (MAC 5 Adolescent, grades 6-12). San
Antonio, TX: The University of Texas; 2003.
33. Shochet IM, Dadds MR, Ham D, Montague R.
School connectedness is an underemphasized
parameter in adolescent mental health: Results of a
community prediction study. J Clin Child Adolesc
Psychol 2006; 35(2): 170-9.
34. Zhao Y, Zhao G. Emotion regulation and depressive
symptoms: examining the mediation effects of
school connectedness in Chinese late adolescents. J
Adolesc 2015; 40: 14-23.
35. Millings A, Buck R, Montgomery A, Spears M,
Stallard P. School connectedness, peer attachment,
and self-esteem as predictors of adolescent
depression. J Adolesc 2012; 35(4): 1061-7.
36. Bond L, Butler H, Thomas L, Carlin J, Glover S,
Bowes G, et al. Social and school connectedness in
early secondary school as predictors of late teenage
substance use, mental health, and academic
outcomes. J Adolesc Health 2007; 40(4): 357.e9-18.
37. Chapman RL, Buckley L, Reveruzzi B, Sheehan M.
Injury prevention among friends: The benefits of
school connectedness. J Adolesc 2014; 37(6): 937-44.
38. Creswell JW. Research design: Qualitative,
quantitative, and mixed methods approaches.
Thousand Oaks, CA: SAGE Publications; 2013.
39. Kuznekoff JH, Titsworth S. The impact of mobile
phone usage on student learning. Commun Educ
2013; 62(3): 233-52.