Abstract- The widespread use of internet has caused new psychological, social, and educational problems for the students. The aim of this study was to examine the quality of life in medical students who suffer from internet addiction. This cross-sectional survey was carried out in Tehran University of Medical Sciences, and a total of 174 fourth-to seventh-year undergraduate medical students were enrolled. The quality of life was assessed by WHOQOL-BREF questionnaire which covers four domains of physical health, psychological, social relationships, and the environment. For assessing internet addiction, we used Internet Addiction Test (IAT) of Young. The students with IAT score higher than 50 were considered as addicted. For evaluating academic performance, the students were requested to report their grade point average (GPA). The mean IA score (±SD) was 34.13±12.76. Twenty-eight students (16.90%) had IAT score above 50. The mean quality of life score in internet addicted group was 54.97±11.38 versus 61.65±11.21 in normal group (P=0.005). Furthermore, there was a negative correlation between IA score and physical domain (r=-0.18, P=0.02); psychological domain (r=-0.35, P=0.000); and social relation domain (r=-0.26, P=0.001). Mean GPA was significantly lower in the addicted group. It seems that quality of life is lower in the internet addicted medical students; moreover, such students academically perform poorer in comparison with non-addicts. Since internet addiction is increasing at a rapid pace which may provoke considerable academic, psychological and social implications; as a result, it may require screening programs to the immediate finding of such problem to give consultations to prevent unwanted complications.
© 2016 Tehran University of Medical Sciences. All rights reserved.
Acta Med Iran, 2016;54(10):662-666.
Keywords: Quality of life; Medical students; Internet addiction; Academic performance; Iran
Introduction
From the start of this millennium, internet has been becoming a broadly putative tool for information transfer and exchange; in addition, beyond being a source of information and communication, it has become an "addiction" for some persons, and the rate of this addiction among people particularly for young generation is rapidly growing all over the world (1).
Internet addiction is a rather novel research area, which has around 10 years history (2). Young defined it as, "an individual's inability to control his or her use of the internet, which eventually causes psychological, social, school, and/or work difficulties in a person's life" (3). Internet addiction seems to be a rather common behavioral addiction, and its prevalence has been approximately estimated just above or below 10% in different studies (4-7); likewise, in studies performed on medical and allied health students, similar percentages have been reported (8,9).
This addiction could unfavorably affect one's quality of life, physical health, family life, and academic performance. Moreover, internet addicts often undergo serious psychological distress, including anxiety, depression, and compulsivity.
It seems that in medical students as well as other college and university students, internet addiction could cause adverse effects; however, studying medicine seems to be more complicated and stressful than many other disciplines; on the other hand, the quality of medical students' life influence public health indirectly. The main aim of this study was to examine the quality of life in medical students of Tehran University of Medical Sciences suffering from internet addiction and their relationship.
Materials and Methods
The cross-sectional survey was carried out in 3 different University hospitals of Tehran University of Medical Sciences, the period of December 2013 to May 2014 and a total of 174 fourth-to seventh-year medical students were enrolled. The period of medicine course in Iran is 7 years, and the medical students enter the clinical field from year 3.
The study was conducted after obtaining the approval from the ethical committee of Tehran University of Medical Sciences.
Tools
Internet addiction test of young (IAT)
Internet use was assessed by the Internet Addiction Test of Young (10). The IAT is a 20-item 5 point Likert scale that measures the severity of self-reported habitual use of the internet. Total internet addiction scores are calculated, with possible scores for the sum of 20 items ranging between 20 and 100. The numbers are summed for each response to attain an ultimate score. The severity of addiction was then classified in line with the suggested 20-49, 50-79, and 80-100 scores as normal, moderate, and severe, respectively (<50 indicating normal subjects and >50 indicating addicted subjects) (11). Furthermore, we used a Persian version of IAT which had a Cronbach's alpha reliability of 0.89 and the P .value of test-retest after 2 weeks was 0.68 (12).
WHOQOL-BREF
We used the World Health Organization Quality of Life Questionnaire-short version (WHOQOL-BREF) to assess the quality of life. The four domains of the WHOQOL-BREF are physical health, psychological (e.g. self-esteem), social relationships (e.g. social support), and environment (e.g. freedom, physical safety). The average quality of life was calculated as the mean of four domains [i.e. (physical health+psychological+social relationships+ environmental)/4]. This questionnaire has 26 items on a five-point Likert scale, which includes two global items about the quality of life and health, respectively, and 24 items relating to four domains calculated as the sum of seven items for physical, six for psychological, three for social and eight for environmental quality of life. The higher the score, the better is the quality of life. We used the validated Persian version of the questionnaire (13).
Academic performance of the students
For assessing academic performance, we requested the students to report their grade point average (GPA). In Tehran University of Medical Sciences, the medical students are able to check their latest GPA through an online system (educational management system). The range of GPA in this University is between 0 and 20.
Statistical analysis
For categorical data, we used chi-square test. We used Kolmogorov-Smirnov test of normality to investigate whether the variables were normally distributed. When the data followed normal distributor, the t-student test was used to compare quantitative data (Physical domain, Psychological domain, Social relation domain, Environmental domain, Mean of domains, GPA) among two groups of addicts (IAT score>50) and non-addicts (IAT score<50). Finally, we measured the correlation between IAT score and QOL domains (Physical domain, Psychological domain, social relation domain, Environmental domain) with Pearson's correlation analysis. All data are presented as Mean±standard deviation (SD). A significance level below 0.05 was considered significant.
Results
In this study, 174 medical students were recruited. The mean age (±SD) of students was 22.57±1.24 and 77 (44.3%) students were male; 128 (73.56%) students were fifth and sixth-year medical students.
Totally, 146 (83.9%) students had IAT score below 50 (i.e. normal score), 28 (16.1%) had score above 50 (i.e. internet addicted).
The mean quality of life in subdomains of physical domain, psychological domain, social relation domain was lower in the addicted group (Table 1); however, there was no significant difference in environmental domain (Table 1). In addition, mean GPA was lower in the addicted group (Table 1).
On the other hand, there was a small, negative correlation between IAT score and physical domain (r= - 0.18, P=0.02); a medium, negative correlation IAT score and psychological domain (r=-0.35, P=0.000); a small, negative correlation between IAT score and social relation domain (r=-0.26, P=0.001); however, the correlation between IAT score and environmental domain was not significant (r=-0.13, P=0.08) (Figure 2). Furthermore, there was a negative correlation between IAT score and average of QOL domains (r=-0.27, P=0.000) (Figure 1). For GPA, there was a medium, negative correlation between two variables (r=-0.29, P=0.000), with high levels of IAT score associated with lower levels of GPA.
Finally, we depicted a 3D plot to show the relationships between internet addiction score, GPA and average of QOL domains. As demonstrated in figure 1, with increasing internet addiction score, the scores in mean QOL and GPA decreases.
Discussion
The main goal of this study was to investigate the quality of life in medical students with internet addiction. According to our results, quality of life was lower in the internet addicted medical students in the domains of physical, psychological, and social relation domains along with negative correlations between the scores. What is more, mean GPA was lower in the addicted group.
According to physical health domain, some factors may explain such negative association. The lack of exercise, as a result of the extreme use of the computer by keeping a sitting posture for a long time, along with prolonged staring at a computer screen may lead to some health problems such as low back pain, neck and shoulder pain, carpal tunnel syndrome, and eyestrain. It is significant that binge eating, weight concern and weight change have been described with a higher prevalence in internet addicted subjects (14). Moreover, problematic internet use is suggested to be associated with sleep problems including subjective insomnia and poor sleep quality (15), that may detriment the immune system, increasing one's susceptibility to various maladies (16).
Concerning social relation problems, internet addiction may considerably interrupt social and family connections since it acts as a substitute for social relationships; on the other hand, the person spends not enough time with friends and family, and he or she is unwilling to accomplish assigned tasks resulting in increased struggles with family members.
Regarding psychological problems, it is revealed that alexithymia, depression, anxiety, and novelty seeking scores are higher internet-addict persons; whereas self-directedness and cooperativeness scores are lower in this group (17); furthermore, internet addiction has been significantly associated with depressive symptoms, obsessive-compulsive symptoms, social phobia, hostility, and suicide ideation (18-20). In one study, the addictive internet user group had an approximately twice significant impairment of sleep, excessive daytime sleepiness, the presence of environmental stressors when compared to the non-addictive internet user group (21). Sleep impairment in medical students could be detrimental since it may increase the probability of medical errors.
In our study, academic performance, measured by self-reported GPA, was significantly lower in internet-addicted students. Problematic academic performance in such students may originate from a decline in study habits, since the internet may act as a substitute for study habits, and may cause a significant drop in grades, missing classes, and poor incorporation in subsidiary accomplishments.
The limitation of our study was that this was a cross-sectional study that could not approve the causal nature of associations: internet addiction has caused reduced quality of life in medical students or poorer quality of life in a group of medical students has forced them to use the internet much more than usual as a substitute for some shortcomings of life; on the other hand, we used self-report methods in which people may not respond truthfully.
In conclusion, lower quality of life was seen in internet addicted medical students particularly in the domains of physical, psychological and social. Moreover, such students academically performed poorer in comparison with non-addicts. Since internet addiction is increasing at a rapid pace which may provoke considerable academic, psychological and social implications; as a result, it may require screening programs to the immediate finding of such problem to give consultations to prevent unwanted complications.
Acknowledgment
This study has been conducted as a thesis in the department of medical education, virtal school, Tehran University of Medical Sciences.
References
1. Ozcinar Z. The Relationship between Internet Addiction and Communication, Educational and Physical Problems of Adolescents in North Cyprus. Aust J Guid Couns 2011;21:22-32.
2. Akhter N. Relationship between Internet Addiction and Academic Performance among University Undergraduates. Educ Res Rev 2013;8:1793-6.
3. Young KS. Internet addiction: The emergence of a new clinical disorder. Cyber Psychology Behav 1998;1:237-44 .
4. Bakken IJ, Wenzel HG, Götestam KG, Johansson A, Oren A. Internet addiction among Norwegian adults: a stratified probability sample study. Scand J Psychol Wiley Online Library;2009;50:121-7.
5. Fu K, Chan W, Wong P, Yip P. Internet addiction: prevalence, discriminant validity, and correlates among adolescents in Hong Kong. Br J Psychiatry 2010;196:486-92 .
6. Park S, Kim J, Cho C. Prevalence of Internet addiction and correlations with family factors among South Korean adolescents. Adolescence 2008;43:895-909.
7. Stavropoulos V, Alexandraki K, Motti-Stefanidi F. Recognizing internet addiction: Prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools. J Adolesc 2013;36:565-76.
8. Krajewska-Kulak E. Internet addiction among students of the medical university of bialystok. Comput Inf Nurs 2011;29:657-61.
9. Berner J, Santander J, Contreras A, Gómez T. Description of internet addiction among Chilean medical students: a cross-sectional study. Acad Psychiatry 2014;38:11-4.
10. Young KS. Internet addiction: The emergence of a new clinical disorder. Cyber Psychology Behav 1998;1:237-44.
11. Chang M, Law S. Factor structure for Young's Internet Addiction Test: A confirmatory study. Comput Human Behav 2008;24:2597-619.
12. Alavi S, Eslami M, Meracy M, Najafi M, Jannatifard F, Rezapour H. Psychometric properties of Young internet addiction test. J Behav Sci 2010;4:7-8.
13. Yousefy AR, Usefy AR, Ghassemi GR, Sarrafzadegan N, Mallik S, Baghaei AM, et al. Psychometric properties of the WHOQOL-BREF in an Iranian adult sample. Community Ment Health J 2010;;46:139-47.
14. Tao Z. The relationship between Internet addiction and bulimia in a sample of Chinese college students: depression as partial mediator between Internet addiction and bulimia. Eat Weight Disord 2013;18:233-43.
15. Lam LT. Internet gaming addiction, problematic use of the internet, and sleep problems: a systematic review. Curr Psychiatry Rep 2014;16:444.
16. Roberts RE, Roberts CR, Duong HT. Sleepless in adolescence: prospective data on sleep deprivation, health and functioning. J Adolesc 2009;32:1045-57.
17. Dalbudak E, Evren C, Aldemir S, Coskun KS, Ugurlu H, Yildirim FG. Relationship of internet addiction severity with depression, anxiety, and alexithymia, temperament and character in university students. Cyberpsychol Behav Soc Netw 2013;16:272-8.
18. Ha JH, Kim SY, Bae SC, Bae S, Kim H, Sim M, et al. Depression and Internet addiction in adolescents. Psychopathology 2007;40:424-30.
19. Kim K, Ryu E, Chon M-Y, Yeun E-J, Choi S-Y, Seo J-S, et al. Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. Int J Nurs Stud 2006;43:185-92.
20. Yen J-Y, Ko C-H, Yen C-F, Wu H-Y, Yang M-J. The Comorbid Psychiatric Symptoms of Internet Addiction: Attention Deficit and Hyperactivity Disorder (ADHD), Depression, Social Phobia, and Hostility. J Adolesc Heal 2007;41:93-8.
21. Kodavanji B, Chathoth V, Kumar NA, N A, Kini RD, Pai SR. Impact of internet use on lifestyle in undergraduate medical students. Int J Biomed Res 2014;5:190-2.
Farzad Fatehi1,2, Alireza Monajemi3, Anahita Sadeghi4, Rita Mojtahedzadeh5, and Azim Mirzazadeh5,6,7
1 Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
2 Department of Neurology, Iranian Center of Neurological Research, Tehran University of Medical Sciences, Tehran, Iran
3 Department of Philosophy of Sciences, Institute for Humanities and Cultural Studies, Tehran, Iran
4 Department of Internal Medicine, Shariati Hospital, Tehran University ofMedical Sciences, Tehran, Iran
5 Department of E-Learning in Medical Education, Center of Excellence for E-Learning in Medical Education, Tehran University ofMedical
Sciences, Tehran, Iran
6 Department ofMedical Education, Health Professions Education Research Center, Tehran University ofMedical Sciences, Tehran, Iran
7 Department of Internal Medicine, Imam Khomeini Hospital, Tehran University ofMedical Sciences, Tehran, Iran
Received: 9 Mar. 2016; Accepted: 17 May 2016
Corresponding Author: A. Mirzazadeh
Department of Internal Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
Tel: +98 21 66939922, Fax: +98 21 66939922, E-mail address: [email protected]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Copyright Tehran University of Medical Sciences Publications 2016