Internet addiction and its relationship with some of the social-demographic determinants
Hadieh Parhizkar1, 2*, Ali Riasaty1, Hamid Maghami3, Aida Banani4, Razie Hoseini4
[1]Philosophy of Biology and Healthy Lifestyle Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. 2School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. 3Philosophy of Life and Healthy Lifestyle Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. 4Research fellow of Philosophy of Biology and Healthy Lifestyle Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Correspondence: Hadieh Parhizkar, Philosophy of Biology and Healthy Lifestyle Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. [email protected]
ABSTRACT
The purpose of this study was to evaluate the prevalence of internet addiction and trends. It also aimed at investigating whether there is a meaningful relationship between internet addiction and also some socio-demographic determinants. The statistical population of the study included 160 employees of Shiraz university of medical sciences working at a central building, who had been selected using a stratified sampling method. Measurement tools included Young's Internet-Addiction Test and some questions about socio-demographic determinants. Data analysis was performed using regression analysisand correlation tests. Findings suggested that although the level of internet addiction among the employees of Shiraz university of medical sciences has decreased over two years, there are still some mild and moderate levels of internet addiction among them. Furthermore, internet addiction had a significant relationship with marital status and the mother’s education level. It is recommended that by using educational workshops and announcements in the workplace, the reduction of undesirable use of the Internet should be cultured.
Keywords: Internet addiction, New media, Mother’s education level, Marital status
Introduction
In recent years, the use of the internet as a world network has had significant growth. In the world, the percentage of internet users has increased from 23% in 2008 to 51% in 2018 [1]. In Iran, also, the percentage of internet users has increased from 35% in 2008 to 70% in 2017 [2]. The ever-increasing growth and development of information and communication technology along with the public move towards using communication technologies has opened a wide window toward the Internet, as a world network, and its various uses. In addition to the undeniable advantages of this world network, users have also faced some damages, of which, internet addiction is one of them.
Firstly, it was in the mid1990s that some reports have been published; based on some internet users addicted to it similar to those who are addicted to drugs, alcohol, and gambling [3, 4]. Previously, there had been some similar disorders such as excessive use of TV, dependence on the computer, and obsession with video games, but, the concept of internet addiction had not entered experimental research [5]. The increase in studies and research regarding internet addiction has led to the presentation of various definitions. The most common definition of them is that overall, internet addiction includes tendencies, motivations, and extremist and uncontrolled behaviors regarding the use of a computer or having access to the internet, which leads to disorders or distress [6]. In terms of the etiology of this intricacy, despite the existence of wide studies regarding medical, psychological, moral, sociological, law, and computer fields, there are still some ambiguities [7]. In some of the studies, also, like other psychological diseases especially addictive behaviors [8], the mutual effects of neurobiology and psycho-social factors have been identified as the main factor of internet addiction [9].
The remarkable increase of internet users in Iran, especially among adolescence and youth have attracted the attention of Iranian researchers toward finding factors related to internet addiction. These studies which are most beneficial and notable, have been conducted since 2001 with an emphasis on school and university students in three fields; individual, family, and socio-educational. According to the studies, among students, those individual factors related to internet addiction include some characteristic factors [10, 11], identity and sensation-seeking factors [12], emotional intelligence criteria [13], brain-behavioral systems [14], sleep disorder [15] and mental health [16] factors. Family factors related to internet addiction also include the performance of the family [16], the function and process of the family [17], and social support of the family [18] and socio-educational factors also include academic procrastination [19], academic compatibility [20], academic motivation [21], academic achievement [11, 22], social support of friends and the tension resulting from academic expectations [18]. Moreover, according to the studies, life quality [23] and training ego consciousness [24] are effective in reducing the internet addiction of students. In university students, also, according to the conducted studies, individual factors related to internet addiction include anxiety [25], mental health [26, 27], public health [28], loneliness [28, 29], characteristic features [13], personal characteristics [30], emotional self-regulation [31] and identity evaluation [32]. Family factors related to internet addiction in university students include attachment styles [33, 34] and comprehending the performance of the family [31]. Moreover, socio-educational factors related to internet addiction include academic stress [30], academic procrastination [35], academic burnout [36], the number of educational studies [37], educational engagement [38], academic achievement [39], social intelligence and prosocial personality [40], sensitivity to rejection [31], fear of negative evaluation [33], perceived social support, and feeling social-emotional loneliness [41]. In addition to the aforementioned factors, the thinking styles of individuals aged 16 to 30 years have also been reported to be related to their internet addiction [42].
Research purposes and questions
The current study aimed at investigating the prevalence of internet addiction and the relationship between internet addiction and some demographic determinants. Accordingly, research questions have been presented as the following:
- What is the prevalence of internet addiction and its procedure among employees?
- Are there any significant relationships between internet addiction prevalence and demographic factors?
Materials and Methods
This research was basic in terms of purpose and it was quantitative in terms of data nature. The data collection method was also descriptive and it had been conducted through correlation studies. The statistical population of the current study included all employees of Shiraz medical Science University located in the central building. According to the Cochran Formula, 160 individuals were selected using convenient random sampling.
Measurement tool
To collect data, Young`s internet addiction test questionnaire as well as some questions regarding social-demographic determinants were utilized.
- Internet Addiction Test (IAT) questionnaire: This is a questionnaire for diagnosing internet addiction designed for those mature people that have experienced the use of the internet. This questionnaire has 20 items measuring features and behaviors resulting from the overuse of the internet (including being out of control, escaping from the reality, and dependency) as well as investigating issues in individual, occupational and social fields that are dependent on the addiction to the internet. Items have been presented in five different types and responding to them is based on five points Likert Scale [43]. Young`s internet addiction test questionnaire is standard and its psychometric features in Iranian society have been reported as appropriate [44].
- Socio-demographic determinants had been presented in a written form including gender, educational level, father`s educational level, mother`s educational level, marriage status, educational level of a spouse, monthly income of the family, and class distinction feeling.
Administration method and data analysis
After collecting data, it was analyzed and categorized based on socio-demographic determinants. Table 1 shows various investigated groups. All of the data analysis phases have been done using SPSS statistical software.
Table 1. Categorizing the data based on the year and socio-demographic determinant variables |
|||
Variable name |
Categorization |
||
Gender |
Female |
Marriage status |
Single |
Married |
|||
Others |
|||
Male |
The educational level of the spouse |
Level 1: Diploma and less |
|
Educational level |
Level 1: Diploma and less |
Level 2: Associate |
|
|
Level 2: Associate |
Level 3: B.A. |
|
Level 3: B.A. |
Level 4: M.A. |
||
Level 4: M.A. |
Level 5: Ph.D. |
||
Level 5: Ph.D. |
Family income |
Level 1: Less than 2 million Tomans |
|
Father`s educational level |
Level 1: Diploma and less |
Level 2: Between 2 to 4 million Tomans |
|
Level 2: Associate |
Level 3: More than 4 million Tomans |
||
Level 3: B.A. |
Class distinction feeling |
Level 1: High |
|
Level 4: M.A. and Ph.D. |
Level 2: moderate to high |
||
Mother`s educational level |
Level 1: Diploma and less |
Level 3: moderate |
|
Level 2: Associate |
Level 4: moderate to low |
||
Level 3: B.A. and higher |
Level 5: low |
Results and Discussion
Descriptive indexes of the score of addiction to the internet (including the mean as the central index and standard deviation as the dispersion index) in various groups have been presented in Table 2.
Table 2. Descriptive indexes (mean and standard deviation) of the score of internet addiction in various groups |
|||||||
Variable name |
Group |
Mean |
Standard deviation |
Name of the variable |
Categorization |
Mean |
Standard deviation |
Gender |
Male |
26.1875 |
15.6893 |
Marriage status |
Single |
28.6750 |
15.3446 |
Female |
23.1238 |
14.4087 |
Married |
22.0556 |
14.3942 |
||
Educational level |
Level 1 |
17.9091 |
13.2925 |
Others |
300000 |
13.5154 |
|
Level 2 |
28.2500 |
18.6553 |
Family income |
Level 1 |
24.7750 |
14.9022 |
|
Level 3 |
21.8000 |
15.3157 |
Level 2 |
23.9103 |
15.6156 |
||
Level 4 |
25.537 |
13.318 |
Level 3 |
24.1071 |
12.9166 |
||
Level 5 |
29.3750 |
0.42 |
Class distinction feeling |
Level 1 |
34.6667 |
15.5670 |
|
Father`s educational level |
Level 1 |
22.8864 |
0.32 |
Level 2 |
24.7105 |
14.4258 |
|
Level 2 |
23.2500 |
0.80 |
Level 3 |
23.7791 |
15.0242 |
||
Level 3 |
29.3750 |
0.6 |
Level 4 |
24.6500 |
16.1058 |
||
Level 4 |
34.000 |
0.257 |
Level 5 |
22.000 |
12.000 |
||
Mother`s educational level |
Level 1 |
23.2857 |
0.94 |
|
|
|
|
Level 2 |
20.7143 |
0.860 |
|||||
Level 3 |
47.000 |
13.1605 |
|||||
Spouse`s educational level |
Level 1 |
24.3000 |
17.2507 |
||||
Level 2 |
20.8333 |
22.0406 |
|||||
Level 3 |
20.6061 |
12.3616 |
|||||
Level 4 |
20.9412 |
10.5739 |
|||||
Level 5 |
33.8000 |
16.3615 |
To appropriately select hypothesis tests and the correlation, the Kolmogorov-Smirnov fitness test was used. The results of this test have been presented in Table 3.
Table 3. Kolmogorov-Smirnov test for checking the normality of distribution regarding addiction to the internet |
||||
Variable |
Mean |
Standard deviation |
Kolmogorov- Smirnov-Z |
P-value |
The score of internet addiction |
24.0584 |
14.79412 |
0.089** |
0.005 |
According to the above table, the results of the KS test were significant for the score of internet addiction (P=0.005). Therefore, this variable didn’t have a normal distribution and it was utilized for analyzing hypothesis tests and the correlation of non-parametric analyses.
Question 1. What is the prevalence of internet addiction and its procedure among employees?
Diagram 1 shows the frequency percentage of various grades of internet addiction. As it is observed in this diagram, in 2017, 33.6% of employees had an internet addiction in a weak grade and 8.1% of employees, also had an internet addiction in a moderate grade; almost 58% of employees did not have an internet addiction. In 2018, 26.8% of employees had internet addiction in a weak grade and 5.7% had internet addiction in a moderate grade and almost 67% did not have an internet addiction. None of the employees had severe internet addiction during these two years.
|
Figure 1. The frequency percentage of various grades of internet addiction |
To investigate the significance of change processes of the mean of internet addiction score, the non-parametric test of Mann-Whitney (U) was utilized to explore the significance of the mean difference during these two years. According to the result of this test (P=0.001), the observed difference in the prevalence of internet addiction was significant.
Question 2. Are there any significant relationships between the prevalence of internet addiction and socio-demographic determinants?
To investigate the significance of the score difference of internet addiction in the gender variable, the non-parametric test of KS was used and non-parametric tests of Kruskal-Wallis (KW) were utilized for other variables. Table 4 shows the results of these tests in various socio-demographic variables.
Table 4. The results of non-parametric tests to investigate the significance of the difference in internet addiction scores in various groups of socio-demographic variables |
|||||||||
Variable |
Kind of test |
Z (KS) |
H (KW) |
P |
Variable |
Kind of test |
Z (KS) |
H (KW) |
P |
gender |
KS |
0.854 |
- |
0.459 |
Marriage status |
KW |
- |
6.609** |
0.037 |
Educational level |
KW |
- |
5.391 |
0.249 |
The educational level of the spouse |
KW |
- |
4.511 |
0.341 |
Father`s educational level |
KW |
- |
4.068 |
0.254 |
Family income |
KW |
- |
0.384 |
0.825 |
Mother`s educational level |
KW |
- |
10.463** |
0.005 |
Class distinction feeling |
KW |
- |
1.641 |
0.801 |
As it has been shown in the above table, based on this test, among investigated socio-demographic factors, the difference in the internet addiction score in various groups of the variables of marriage status (p=0.037) and mothers educational level (p=0.005) was significant having the possibility of respectively, 95% and 99%. Diagram 2 shows the internet addiction score`s mean in various groups of this variable. As it is observed in this diagram, employees whose mothers have B.A. and higher educational levels, had more internet addiction prevalence. Then, internet addiction was more prevalent in employees whose mother`s educational level was a diploma, and less, and finally, employees whose mothers had associate educational levels had less internet addiction prevalence than others. Moreover, the prevalence of internet addiction among previously married employees was the highest. Then, internet addiction was more prevalent among single individuals and it was the least among married individuals compared to others.
|
a) |
|
b) |
Figure 2. The mean of internet addiction score in various groups of variables including a) mother`s educational level, b) marriage status |
The difference in internet addiction score was not significant in other variables (p>0.05). This meant that internet addiction was not dependent on gender, educational level, father's educational level, spouse's educational level, family income, and Class distinction feeling.
In recent years, the incredible growth of using the internet as the world network, especially among Iranians has revealed the importance of paying attention to the damages resulting from internet use and the efforts of its prevention. Internet addiction as one of these damages is critical to the extent that according to the latest world reports of diagnosing mental disorders in terms of psychology, DSM5, the importance of investigating its introduction as one the mental disorders has been emphasized since it can lead to anxiety and stress in the individuals [45]. The purpose of this study was to investigate the prevalence of internet addiction, and its expression and explore its relationship with some of the socio-demographic determinants, which was conducted in three phases considering the employees of Shiraz Medical Science University, as the statistical population.
Firstly, the prevalence of internet addiction over two years was measured and the status of internet addiction and its change procedures were investigated. The results indicated that in 2018, 26.8% of employees had internet addiction in a weak grade and 5.7% of them had internet addiction in a moderate grade. Statistical tests showed that having a confidence coefficient of 99%, these values had reduced compared to the similar results of previous years.
In the second step, the relationship between internet addiction and some of the socio-demographic determinants was measured among employees and the statistical results of the tests were as the following:
- In the marriage status variable, it could be claimed with a 95% confidence coefficient that the prevalence of internet addiction was the least among married individuals, then single people and others had a higher mean score of internet addiction. Marriage, as the sub-structure of the existence of a healthy family, gives meaning to the life of individuals and organizes it, according to which, it prevents the wasting and uselessness of human resources and helps human beings to have individual health. Unmarried people are more inclined toward wasting and destroying their existential capital due to having fewer responsibilities and on the other hand, due to mental pressures resulting from not appropriately adjusting the authorities, they may seek to compensate them with methods that can impose irreparable damages to their individual lives and the society; according to the results of this study, internet addiction can be considered as one of these damages.
- Regarding the mother`s educational level variable, the results indicated with a 99% confidence coefficient, the prevalence of internet addiction was more among employees having mothers with B.A. and higher educational levels. Then, internet addiction was more prevalent among employees whose mothers had a diploma and less educational levels. Employees whose mothers had associate educational levels had the least amount of internet addiction. The importance and necessity of women's education are known to everyone. Considering the significance of the role of motherhood in growing human beings and educating children, as well as inspiring peace in the family, the necessity of paying more attention to the family and children is essential for educated mothers.
- In other variables including gender, father`s educational level, spouse`s educational level, family income, and class distinction feeling, no significant differences were observed in the prevalence of internet addiction among employees.
Conclusion
Internet is a new technology that seems very necessary to use in today's society. This necessity is not only in some parts of today's society, such as technology and employment, but has become an integral part. Other areas of life, including daily life, have also become closely connected with the Internet. The present study showed that one of the forms of internet presence in daily life has appeared as addiction and disease. It seems that policymakers and decision-makers should look for ways to embed the correct practices of the Internet and raise awareness of its destructive consequences.
Acknowledgments: This study is derived from the research plan approved by the Research Center for Philosophy of Life and Healthy Lifestyle of Shiraz University of Medical Sciences. We hereby express our appreciation and thanks to the research vice-chancellor of that university for supporting and financing this project.
Conflict of interest: None
Financial support: None
Ethics statement: Informed consent was obtained from all participants to participate in the study. The ethical approval was obtained from Shiraz medical university.
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