Volume 31, Issue 1 (12-2021)                   JHNM 2021, 31(1): 44-52 | Back to browse issues page


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Harsej Z, Mokhtari Lakeh N, Sheikholeslami F, KazemnezhadLeili E. Internet Addiction and Its Relationship with Family Functioning in High School Students. JHNM 2021; 31 (1) :44-52
URL: http://hnmj.gums.ac.ir/article-1-1535-en.html
1- Nursing (MSN), School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
2- Instructor, Department of Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran , lakeh.nasrin@gmail.com
3- Instructor, Department of Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
4- Associate Professor, Biostatistics,Social Determinants of Health Research Center (SDHRC), Guilan University of Medical Sciences, Rasht, Iran
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Introduction
amily is a dynamic system and one of the oldest and most important institutions that human beings have established to regulate and integrate their behaviour. If children want to maximize their potential, they need parental support [1, 2]. Family functioning affects the physical, emotional and social health of children [3]. Family skills are very important for coordination, conflict resolution, and solidarity between family members, and enforcing regulations to protect the entire system [4]. In order to understand the family structure, organization, and communication patterns, one should focus on the six dimensions of family functioning [5] including: Problem solving, communication, roles, affective responsiveness, affective involvement, and behavioural control [3].
Each person goes through different stages from the moment s/he becomes a family member. One of the stages that every person, willingly or unwillingly, faces is “adolescence” which occurs from the end of childhood to the onset of adulthood. Adolescence is a transitional period associated with many biological, social, cognitive, emotional, and psychological changes; because of these changes, adolescents experience some challenges and have difficulty coping with them [1]. Family has a very important role in individual and social development of adolescents. Family is a protective factor against their risky behaviour, including Internet addiction [6]. Adolescents’ identity formation is influenced by various factors such as cognitive, parental, school, socio-cultural, behavioural, age gap between children, communication, conflicts and daydreams. 
One of the ways that adolescents use for self-presentation is the mass media including the Internet. This environment has attracted the attention of many teenagers due to ease of access and high speed [7]. Internet has become a vital tool for many people and provides valuable information to its users [8]. From December 2000 to June 2017, the number of Internet users worldwide increased from 360 million to 3885 million people [9]. Studies in Italy, China, South Korea, and Taiwan have shown that the prevalence of Internet addiction is 7.36-10.7% [6]. Due to the wide range of the Internet’s practical dimensions and the gradually increased dependence on it, a phenomenon called “Internet addiction” has been raised that can be classified as an impulsive disorder, because overuse of the Internet can lead to psychological, social, academic, or occupational problems [8, 9, 10]. 
When a person is addicted to the Internet, symptoms such as low tolerance, tremors, anxiety, obsessive thoughts and fantasies, and voluntary/involuntary movements of the fingers are clearly recognizable for at least 20 months, in addition to personality traits such as stress, impulsivity, and increased emotional reactivity [8]. Various factors such as age, gender, level of education, family support, family involvement, and the influence of peer groups can affect Internet addiction [6]. Adolescents who are addicted to the Internet have lower family satisfaction and have a feeling that their parents do not care about them and that, thus, there is more conflict between them and their parents [11]
People with the Internet addiction spend many hours on the Internet and do not want to lose their connection and leave their computers, which can negatively affect their daily living activities and social relations [2]. Given that adolescents are one of the important community groups and, on the other hand, inappropriate family functioning causes problems, the present study aimed to determine the relationship between Internet addiction and family functioning in high school students in Iran.

Materials and Methods
This is an analytical study with cross-sectional design conducted from June 2019 to May 2020. The study population consists of all studients in 103 secondary school students in two districts of Rasht city, Iran. The sample size was calculated 796 using the formula and considering the correlation between family functioning and Internet addiction as 0.14 reported in Imani’s study [11] and 1-α=0.95 and 1-β=0.90. Also, the probability of sample attrition was estimated to be 14%. Students were selected using a multi-stage cluster sampling method. The entry criteria included: studying in the second grade, having a mobile than can connect to the Internet, and parental and student consent. 
After obtaining the necessary permisions, the male researcher visited the boys’ school and female researcher visited the girls’ school after introducing themselves to the school principals and explaining the study objectives.Then, their demogarphic information were recorded and the questionnaires were distributed among them. A full explanation of the study process was first provided to all students, and they were free to participate in this study and can leave the study at anytime. Then, the parents of students signed a consent form on the behalf of them. 
Data collection tools were a demographic form, the Internet Addiction Test (IAT), and Family Assessment Device (FAD). The demographic form surveys age, gender, father’s and mother’s education and job, family income, Internet usage history, duration of Internet usage per day, mobile internet connectivity, and Internet use by family members. IAT is one of the most reputable tests for measuring Internet addiction designed by Young [12] with 20 items to measure internet addiction in different populations. The responses are rated on a 5-point Likert scale from 1: Never to 5: Always. To measure its total score, the scores of each question are added up. The total score of IAT ranges from 20 to 100, where higher scores indicate higher levels of Internet addiction; score 20-49 shows no Internet addiction, score 50-79 indicates exposure to Internet addiction, and score 80-100 shows having Internet addiction. In Iran, Alavi et al. have examined the psychometric properties of this questionnaire [13]
The consisted of 60 items developed by Epstein, Baldwin, & Bishop in 1983 [14] to measure family functioning based on the McMaster Model of Family Functioning for people aged 12 years and higher. The FAD had 7 subscales; 6 related to family functioning dimensions of problem solving (items 2, 12, 24, 38, 50, 60), communication (items 3, 14, 18, 22, 29, 35, 43, 52, 59), roles (items 4, 8, 10, 15, 23, 30, 34, 40, 45, 53, 58), affective responsiveness (items 9, 19, 28, 39, 49, 57), affective involvment (items 5, 13, 25, 33, 37, 42, 54), and behavioral control (items 3, 7, 17, 20, 27, 32, 44, 47, 48, 55) and one subcsale measures overall family functioning (items 1, 6, 11, 16, 21, 26, 31, 36, 46, 51, 56, 60) [5, 6, 7, 8, 9, 10, 11, 12, 13, 14]. 
The scoring is based on a scale from 1= strongly agree to 4= strongly disagree. The mean score of each items that is ranged from 1 (healthy functioning) to 4 (unhealthy functioning) is calculated to obtain the scores of each subscale; higher scores indicate unhealthy functioning. In this study, the Persian version of this tool was used [15]. Data analysis was performed using descriptive and inferential statistics (Chi-squared test, Fisher’s exact test and rank-ordered logistic regression analysis) in SPSS v. 21. The significance level of the tests was considered as P<0.05.

Results
In this study, 796 male and female high school students were participated, and their response rate was 86.81%. The mean and standard deviation of the age of participants was 16.88±0.89 years, where most of them were 16 years old (42.5%) and female (57.9%) whose fathers had a high school diploma (39.8%), and the family income of more than half of them (57.2%) was ≥500 dollars. Their mean and standard deviation of Internet usage history was 5.19±2.45 years and 57% had a history of 5-8 years. Regarding the duration of internet usage per day, the mean and standard deviation was 4.45±5.14 hours, and 57.2% were reported to use the Internet for 0-4 hours per day. Moreover, 85.7% had at least two family members who were using the Internet.
The results of IAT showed that only 1.30% had Internet addiction and 27.50% were exposed to Internet addiction. The FAD scores showed that 64.98% had unhealthy family functioning. Regarding the relationship between Internet addiction and family functioning, the results showed a statistically significant relationship (P=0.001). Among students with Internet addiction, the majority (77.78%) were living in families with unhealthy family functioning (Table 1).



As a result, it can be said that with the increase in family dysfunction, the risk of Internet addiction increases in high school students.
Study of the prevalence of internet addiction based on socio-demoghraphic variables (Table 2) showed a statistically significant relationship between Internet addiction and family income (P=0.003), father’s job (P=0.001), gender (P=0.050) and the duration of internet usage per day (P=0.001).



Regarding the relationship between family functioning and socio-demographic factors, the results showed no significant relationship between family functioning and age, mother’s education, parents’ job, Internet usage history, duration of Internet usage per day, mobile internet connectivity, and internet use by family members, but a significant relationship with gender (P=0.001), father’s education (P=0.004) and family income (P=0.001) (Table 3).




In order to investigate the relationship between internet addiction status and family functioning by controlling the effects of socio-demographic variables, a rank-ordered logistic regression analysis was performed. The results showed that the FAD score, gender (male) and the duration of Internet usage per day had a significant effect on Internet addiction (Table 4).



In boys, the relative risk of Internet addiction increased by 1.8 times compared to girls (OR=1.8, 95% CI: 1.26-2.58, P=0.001). Moreover, with the increase of Internet usage per day, the risk of Internet addiction increased (OR=1.15, 95% CI: 1.11-1.20, P=0.0001). 

Discussion
The results of this study showed no significant difference between high school girls and boys in terms of Internet addiction. This is consistent with the findings of many other studies [3, 12, 16], but is against the results of some studies [17, 18]. Perhaps the difference between girls and boys in Internet addiction is because of its different effect size on different age and gender groups. There was no significant relationship between internet addiction and parents’ educational level. This is against the results of Salehi and Naeem Yavari [19]; However, regarding mother’s education, the results of the two studies are similiar. There was a statistically significant relationship between Internet addiction and family income among students, where the lower family income increases the risk of Internet addiction. This is also consistent with the findings of Salehi and Naeem Yavari [19].
There was a significant relationship between gender and family functioning, where family functioning was healthier in girls compared to boys. This finding is consistent with the results of Jafari-NadrAbadi [3]. Family functioning had also a significant relationship with father’s education but not with mother’s education, where the students whose fathers’ educational level were lower had poorer family functioning. Family functioning had also a significant relationship with family income, where the students with lower family income had unhealthier family functioning. Moreover, the results revealed the higher risk of Internet addiction in students with unhealthy family functioning. This is consistent with the results of many studies [3, 11, 20, 21]. 
This finding suggests that the family plays a decisive educational role where children grow up and learn skills. If children in the family learn how to deal with their problems, roles be defined, there be a good way to control behavior in the family, members be clear and coherent and pay attention to interests of each other and respect the positive and negative emotions of each other, the family can perform its role better and the children can have lower problems. Many adolescents may experience overuse of internet due to poor social skills, anxiety, escaping from loneliness, social isolation or other psychological health problems [22, 23, 24]. However, in well-functioning families, such cases are less common. Therefore, in addition to increasing the media awareness and knowledge of themselves, family members need to take care of their functions and strengthen them.
This study results showed that gender and the duration of Internet usage per day had a negative and postive significant effect on Internet addiction, respectively. Indicating that with the increase of Internet usage per day, the risk of Internet addiction increases. Ahmadi et al. also stated that Internet addiction has a significant relationship with gender [25]; however, one study reported the girls’ more dependence on the Internet [3]. The results of the present study are consistent with most previous studies where the rate of Internet addiction were reported higher in boys than in girls [17, 18]. 
Family-related factors play an important role in adolescents’ addiction to the Internet; families with poor functional behaviors lead their children to the excessive use of the Internet in various ways. In addition to wrong educational methods that are the main ways of how to deal with children, parents’ more or less control over their children can cause them to become more dependent on the Internet to ignore parents and negative emotions. Parents who do not play their roles properly and do not communicate well with their children can increase their Internet dependence. Young stated that 85% of students experienced a decline in their study habits after the excessive use of the Internet, and their grades dropped significantly [12]. Therefore, it can be said that poor family functioning causes children to overuse the Internet and, as a result, become addicted to it which can cause their academic failure.
The results of this study can be used by families, school principals, teachers, and therapists. The results, while confirming the negative effects of Internet addiction on family functioning, emphasized the importance of the family environment in reducing the excessive use of the Internet. Through educational programs and holding management workshops, school principals can create a proper culture of the Internet and social media usage and by providing the necessary training in schools to the students, their parents and teachers, can cause a healthy level of family functioning and, therefore, prevent Internet addction in students. 
Psychotherapists, using psychological techniques and psychotherapy, can change, correct and treat emotional and behavioral problems in students, and strengthen and develop positive personality in them. It is necessary to establish active counseling centers to help and provide services to the families. Further studies are commended by using others variables such as social skills, parenting style, and mental health, and addressing the harms that can be caused by Internet addiction.

Ethical Considerations
Compliance with ethical guidelines

This study was extracted from a MSc. thesis of the first author and the Ethics Committee of Guilan University of Medical Sciences approved the study (Code: IR.GUMS.REC.1398.308).

Funding
This research did not receive any grant from funding agencies in the public, commercial, or non-profit sectors.

Authors' contributions
Conceptualization: Nasrin Mokhtari; Methodology, writing original draft, funding acquisition, and resources, Supervision: All authors; Investigation: Zahra Harsej and Nasrin Mokhtari; Editing & review: Farzaneh Sheikholeslami and Nasrin Mokhtari.

Conflict of interest
The authors declared no conflict of interest.

Acknowledgments
The authors express their gratitude to the educational officials in Rasht city, the principals of study schools, and students who participated in the study.

References
  1. Richards J, Hillsdon M, Thorogood M, Foster C. Face-to-face interventions for promoting physical activity. Cochrane Database of Systematic Reviews. 2013; 9. [DOI:10.1002/14651858.CD010392.pub2]
  2. Emami RS, Ardebili HE, Golestan B. [Effect of a health education intervention on physical activity knowledge, attitude and behavior in health volunteers (Persian)]. Hayat. 2011; 16(3):48-55. http://hayat.tums.ac.ir/article-1-78-en.html
  3. Sidman CL, Fiala KA, D’Abundo ML. Exercise motivation of college students in online, face-to-face, and blended basic studies physical activity and wellness course delivery formats. Journal of American College Health. 2011; 59(7):662-4. [DOI:10.1080/07448481.2010.524683] [PMID]
  4. Alley SJ, Kolt GS, Duncan MJ, Caperchione CM, Savage TN, Maeder AJ, et al. The effectiveness of a web 2.0 physical activity intervention in older adults: A randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity. 2018; 15(1):4. [DOI:10.1186/s12966-017-0641-5] [PMID] [PMCID]
  5. Golsteijn RH, Peels DA, Evers SM, Bolman C, Mudde AN, de Vries H, et al. Cost-effectiveness and cost-utility of a Web-based or print-delivered tailored intervention to promote physical activity among adults aged over fifty: An economic evaluation of the active plus intervention. International Journal of Behavioral Nutrition and Physical Activity. 2014;11(1):122. [DOI:10.1186/s12966-014-0122-z] [PMID] [PMCID]
  6. Kerr J, Rosenberg D, Millstein RA, Bolling K, Crist K, Takemoto M, et al. Cluster randomized controlled trial of a multilevel physical activity intervention for older adults. International Journal of Behavioral Nutrition and Physical Activity. 2018; 15(1):32. [DOI:10.1186/s12966-018-0658-4] [PMID] [PMCID]
  7. Ammann R, Vandelanotte C, De Vries H, Mummery WK. Can a website-delivered computer-tailored physical activity intervention be acceptable, usable, and effective for older people? Health Education & Behavior. 2013; 40(2):160-70. [DOI:10.1177/1090198112461791] [PMID]
  8. Direito A, Dale LP, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health. 2014; 14(1):646. [DOI:10.1186/1471-2458-14-646] [PMID] [PMCID]
  9. Opdenacker J, Boen F. Effectiveness of face-to-face versus telephone support in increasing physical activity and mental health among university employees. Journal of Physical activity and Health. 2008; 5(6):830-43. [DOI:10.1123/jpah.5.6.830] [PMID]
  10. Richards J, Thorogood M, Hillsdon M, Foster C. Face-to-face versus remote and web 2.0 interventions for promoting physical activity. Cochrane Database of Systematic Reviews. 2013(9):CD010393. [DOI:10.1002/14651858.CD010395.pub2]
  11. References
  12. Mohammadyfar M, Kazemi S, Mate kolaee E. [The role of students’ family function and self-efficacy in social adjustment (Persian)]. Journal of School Psychology. 2016; 5(4):146-53. [DOI:10.22098/jsp.2017.515]
  13. Barshan A, BaniAsad A, Abbasi R. [Comparative study of family function in two groups of adolescents with Internet addiction and normal adolescents (Persian)]. The First National Congress of Cybercrime and Emerging Social Harm. 2012; Tehran, Iran.
  14. Jafari-NadrAbadi M. [Investigating the relationship between the degree of dependence on virtual space and family functioning and academic performance in students (Persian)]. Sociology of Education. 2018; 8(8):30-45. http://iase-jrn.ir/article-1-333-fa.html
  15. Rezaei A, Roshanzadeh F. [The role of family function with narcissism in adolescent girls (Persian)]. Journal of Women and Society. 2016; 7:183-94. http://ensani.ir/fa/article/371205/
  16. Rian K, Epestin N, Kitner G, Miler I, Bishap D. Assessment and treatment of families. In: McMaster’s Approach [Bahrami F, Eshghi R, Ghafari M, Jokar M, Diarian MM, Yousefi Arjmand N, Persian trans.]; Tehran: 2012.
  17. Wu CS, Wong HT, Yu KF, Fok KW, Yeung SM, Lam CH, et al. Parenting approaches, family functionality, and internet addiction among Hong Kong adolescents. Journal of BMC Pediatrics. 2016; 16(1):1-10. https://bmcpediatr.biomedcentral.com/articles/10.1186/s12887-016-0666-y
  18. Seidan A, Alizadeh Z, Ziaei S. [Adolescence and youth and identity in virtual spaces (Persian)]. 3rd International Conference on Applied Research in Information Technology, Computer and Telecommunications. 2015 Feb 4; Tehran, Iran.
  19. Nasrollahi S, Shahsawari S, Salehi R, Abedi M, Sadeghi S, HedayatiNia S, et al . [A survey of internet addiction and its related factors in Students of Kurdistan University of Medical Sciences in 2014-2015 (Persian)]. Zanko Journal of Medical Sciences. 2015; 16(48):1-9. http://zanko.muk.ac.ir/article-1-52-fa.html
  20. Sharma A, Sharma R. Internet addiction and psychological well-being among college students: A cross-sectional study from Central India. Journal of Family Medicine and Primary Care. 2018; 7(1):147-51. [DOI:10.4103/jfmpc.jfmpc_189_17] [PMID] [PMCID]
  21. Tauri A, Miri M, Beheshti D, Yari E, Khodabakhshi H, Anani-Sarab G. [Prevalence of Internet Addiction and its relationship with anxiety, stress, and depression in intermediate students in Birjand City in 2014 (Persian)]. Journal of Birjand University of Medical Sciences. 2015; 22(1):67-75. http://journal.bums.ac.ir/article-1-1705-fa.html
  22. Imani M, Shirali Nia K. [Role of the functioning and family process in Internet Addiction in youth (Persian)]. Journal of Family Counseling & Psychotherapy. 2015; 5(2):142-63. http://fcp.uok.ac.ir/article_15727_c377e78d42893bca72b8463a2be0215c.pdf
  23. Young K. Internet Addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior Journal. 2009; 1(3):237-44. [DOI:10.1089/cpb.998.1.237.]
  24. Alavi SS, Eslami M, Merasi MR, Najafi M, JanatiFar F, RezaPour H. [Psychogenic features of young’s internet addiction test (Persian)].Journal of Behavioral Sciences. 2010; 13(3):183-9. http://ensani.ir/fa/article/233400/
  25. Epstein NB, Baldwin LM, Bishop D . The McMaster family assessment device. Journal of Marital and Family Therapy. 1983; 9(2):171-80. [DOI:10.1111/j.752-0606.1983.tb01497.x.]
  26. Yosefi N. [Psychometric of scales McMaster Family Assessment approach (Persian)]. Quarterly of Educational Measurement. 2012; 3(7):83-112. https://www.sid.ir/FileServer/JF/4008213910704.pdf
  27. Roohani F, Tari S. [Study of internet addiction rate and its relationship with academic motivation and social development of high school students in Mazandaran province (Persian)]. Journal of Information and Communication Technology in Educational Sciences. 2011; 6(2):19-34. http://ensani.ir/fa/article/download/317699
  28. Hasanzadeh R, Bidokhti A, Rezaeei A, Rahaei F. The relationship between Internet addiction and academic achievement and personality characteristics of learners. Journal of Information and Communication in Educational Sciences. 2012; 3(1):95-107. [DOI:10.1016/j.sbspro.2013.12.795]
  29. Asiri S, Fallahi F, Ghanbari A, Kazemnejad-Leili E. Internet addiction and its predictors in guilan medical sciences students, 2012. Journal of Nursing and Midwifery Studies. 2013; 2(2):234-9. [DOI:10.5812/nms] [PMID]
  30. Salehi E, NaeimYavari M. [Investigating the Relationship between Family Factors with Internet Addiction and Its Damage Among Yazd Youth (Persian)]. Two Journal of Female Police Studies. 2014; 3(20):24-42.
  31. Etasaminia S, Hoseinian S. [The relationship between family functioning and parenting styles with child internet addiction among female students of Khoy City (Persian)]. 1st International Congress of Psychology and Educational Sciences with an Islamic Approach. 2015; Ardebil, Iran.
  32. Abootalebi M, TorkianTabar M. [The relationship between Internet addiction and family function among second and third grade students in girls’ school of Isfahan City (Persian)]. District International Congress of Humanities and Cultural Studies. 2016 Nov 5; Tehran, Iran.
  33. Jafari Nadrabadi M. [Investigating the relationship between fear of cyberspace dependence and family functioning and academic performance in students (Persian)]. Iranian Journal of Sociology of Education. 2018; 8(3):30-45. http://iase-jrn.ir/article-1-333-fa.pdf
  34. Tsai HF, Cheng SH, Yeh TL, Shih CC, Chen KC, Yang YC. The risk factors of Internet addiction: A survey of university freshmen. Psychiatry Research. 2009; 167(3):294-9. [DOI:10.1016/j.psychres.2008.01.015] [PMID]
  35. Yang C-K, Choe B-M, Baity M, Lee J-H, Cho J-S. SCL-90-R and 16PF profiles of senior high school students with excessive internet use. The Canadian Journal of Psychiatry. 2005; 50(7):407-14. [DOI:10.1177/070674370505000704] [PMID]
  36. Ahmadi SH, ZadeMohamadi F, Masoum-Beygi M, Sohrabi F. [Surveying the prevalence of internet addiction and its relationship with demographic characteristics among the students of Allameh Tabataba’i University (Persian)]. Journal of Educational Psychology Studies. 2013; 8(25):19-34.
Article Type : Research | Subject: Special
Received: 2020/12/29 | Accepted: 2021/12/29 | Published: 2021/12/29

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