Elsevier

Computers in Human Behavior

Volume 61, August 2016, Pages 155-164
Computers in Human Behavior

Full length article
Smartphone addiction among university students in the light of some variables

https://doi.org/10.1016/j.chb.2016.03.041Get rights and content

Highlights

  • The addiction percentage among participants was 48%.

  • There are Significant gender and social status differences were found in the degree of addiction.

  • There are significant differences due to monthly income were found in the degree of addiction.

  • Bachelor degree students were found to have the highest degree of addiction.

  • There are significant differences due to hours of daily use were found in degree of addiction.

Abstract

We explored the frequency and indices of smartphone addiction in a group of King Saud University students and investigated whether there were differences in smartphone addiction based on gender, social status, educational level, monthly income and hours of daily use. We developed a questionnaire probing smartphone addiction consisting of five dimensions: 1) overuse of smartphone, 2) the psychological-social dimension, 3) the health dimension, 4) preoccupation with smartphones, and 5) the technological dimension. After being validated, the questionnaire was administered to 416 students, both male and female, at King Saud University. Results revealed that addiction percentage among participants was 48%. The order of smartphone addiction indices were as follows: overuse of smartphone, the technological dimension, the psychological-social dimension, preoccupation with smartphones, and the health dimension. Significant gender differences were found in the degree of addiction on the whole questionnaire and all of its dimensions with the exception of the technological dimension in favor of males. Significant differences by social status were found in favor of the unmarried. Bachelor degree students were found to have the highest degree of addiction. Significant differences by hours of daily use were also detected in favor of participants using the smartphone for more than 4 h a day. As to the monthly income dimension, significant differences were found on the health dimension in favor of participants with lower monthly income.

Introduction

The 21st century has witnessed ever-increasing technological advances leaving an imprint on all aspects of life. One of these advances is the smartphone and its numerous applications or apps offering quick access to the Internet and social media through various apps such as WhatsApp, Facebook, Twitter and Skype. The smartphone has also facilitated the transmission of SMSs and fax, and navigating the Internet. Furthermore, the smartphone includes entertainment such as games, the Cam, video, Bluetooth, multimedia, radio, youtube, movies, GPS, and other applications (Abo-Jedi, 2008).

One of the most important advantages of the smartphone is easy wireless access to electronic mail, instant messages and multimedia, and the possibility of using Office Applications after downloading additional apps from the site of the smartphone producer or from Play Store. It also has a complete keyboard that enables users to write e-mails easily. The Gulf markets, like other world markets, introduce smart devices on a daily basis. In addition, all age groups show an interest in owning such devices. More and more people are purchasing smart devices for their numerous and varied services. For some people, the smartphone has become a substitute for the computer. For others, it has become the most effective means of entertainment, amusement and pastime. As a result of its popularity, the use of the smartphone has become an indicator of economic status and possession of a smartphone is associated with several psychological and social concepts such as the popularity implied by achieving a large number of friends or followers. However, some argue that the smartphone has more disadvantages than advantages. The disadvantages relate to the way the smartphone is used, especially by teenagers (Attamimi, 2011). There is empirical evidence that most smartphone addicts are teenagers whose shyness and lack of confidence encourage them to rely on smartphones in order to communicate with others without face-to-face encounters (Walsh, White, & Young, 2007).

Recently, there has been a great increase in the number of smartphone users spendingconsiderable sums of money to own the latest upgrades, versions and apps. Users have become so attached to their smartphone that they feel they cannot function without it and their use and preoccupation with the smartphone results in the neglect of other assignments and tasks. This irrational overuse is described as smartphone addiction and psychologists define this as an obsession. This addiction is likely to be among the most prevalent of all addictions. Smartphone addicts are expected to live in isolation. This addiction can also affect individuals economically and psychologically (Walsh et al., 2007).

Section snippets

Statement of the problem

School and university students are among the age groups most targeted by communication technologies. They are also the most interested in possessing smartphones on which they spend time and dedicate much of their thinking. The competition between smartphone companies to produce low priced smart devices has led to a significant increase in the number of students possessing smartphones, which, in turn, increases the likelihood of smartphone addition among students (Abo-Jedi, 2008).

The positive

Smartphone addiction

Technology addiction dates back to Internet addiction first identified in 1995 by American physician Ivan Goldberg and to the paper published by Young (1996) with the title “Internet addiction: The emergence of a new clinical disorder.” A smartphone includes the same technology and is expected to have the same or an even greater effect than the Internet. The more individuals use the smartphone, the more they become dependent on it and begin to experience associated problems (Hong, Chiu, &

Method and participants

The comparative descriptive method was used in the present study as it was the most suitable for the research problem and its variables. Students using smartphones and attending King Saud University in Bachelor, Graduate, M.A and Ph. D programs constituted the population for our study. A cohort of 416 male and female students participated in the study. Table 1 shows the distribution of participants according to variables.

Results

Results for the first question: How frequent is smartphone addiction among participants?

To answer our first question, we used the median as the basis for identifying participants who are smartphone addicts. Based on this, 200 participants out of the total number of participants (i.e., 416) were categorized as smartphone addicts. That is, 48% of the participants were smartphone addicts.

Results for the second question: What are the most significant indicators of smartphone addiction among

Discussion

We explored the frequency and indices of smartphone addiction in a group of King Saud University students and investigated whether there were differences in smartphone addiction based on gender, social status, educational level, monthly income and hours of daily use. Results revealed that the percentage of smartphone addiction among King Saud University students is 48%. This percentage is higher than its counterpart in some Arabic studies (e.g., Abo-Jedi, 2008). However, it is similar to

Limitations

There are many limitations which can influence the result of this research. Participants of the current study were from king Saud university in Saudi Arabia which limits the generalizability of the results on other societies outside the middle east region. Based on the findings of the present study, we offer a recommendations to develop counseling programs and symposia where experts can raise the awareness of university students, especially single and undergraduate programs students of how to

Acknowledgment

The authors extend their appreciation to the Deanship of Scientific Research, King Saud University for funding this work through the International Research Group Project RG-1436-028.

References (57)

  • Alasdair, A., & Philips, J. (2011) Children and mobile phones. The content of this article can be freely used with...
  • American Psychiatric Association

    Diagnostic and statistical manual of mental disorders (DSM IV)

    (1994)
  • H. Assabawy

    Social effects of cellphones (a field study in Mosul City)

    Mosulian Studies

    (2006)
  • A. Attamimi

    The reasons for the prevalence of BlackBerry cellphones and the resulting educational effects from the perspective of secondary school students in Abo-Dhabi

  • J. Billieux et al.

    .The role of impulsivity in actual and problematic use of the mobile phone

    Applied Cognitive Psychology

    (2008)
  • K. Brown et al.

    Mobile phones bridging the digital divide for teens in the US?

    Future Internet

    (2011)
  • S.W. Campbell

    The impact of the mobile phone on young people's social life

  • M. Castells et al.

    The mobile communication society: a cross cultural analysis of available evidence on the social use of wireless communication technology

  • S. Chakraborty

    Mobile phone use patterns amongst university students: A comparative study between India and USA

    (2006)
  • Y. Chen et al.

    Relationships among mobile phones, social networks, and academic achievement: A comparison of US and Taiwanese college students

    (2004)
  • M. Choliz

    Mobile-phone addiction in adolescence: the test of mobile-phone dependence (TMD)

    Progress in Health Sciences

    (2012)
  • N. Chung

    Korean adolescent girls additive use of mobile phones to maintain interpersonal

    Social Behavior and Personality

    (2011)
  • R. Davis

    A cognitive behavioral model of pathological internet use

    Computers in Human Behavior

    (2001)
  • H.A. Divan et al.

    Cell phone use and behavioral problems in young children

    J. Epidemiol Community Health

    (2012)
  • M. Duran

    Internet addiction disorder

    (2003)
  • A. Ehrenberg et al.

    Personality and self-esteem as predictors of young people's technology use

    Cyber Psychology and Behavior

    (2008)
  • M. Geary

    Supporting cell phone use in the classroom

    Florida Educational Leadership Fall

    (2008)
  • GSMA

    Children's use of cellphones: An international comparative study

    (2011)
  • Cited by (0)

    View full text