Comments
Description
Transcript
A O
1922 Advances in Environmental Biology, 6(7): 1922-1927, 2012 ISSN 1995-0756 This is a refereed journal and all articles are professionally screened and reviewed ORIGINAL ARTICLE Necessary of human relationship in current life: Do SMS addiction is threat or opportunity? 1 Ramazan Hassanzadeh. Ph.D and 2Atefeh Beydokhti (M.A) 1 2 Department of Psychology, Islamic Azad University, Sari- Branch (Iran). Master of Psychology, Islamic Azad University-Sari Branch Ramazan Hassanzadeh. Ph.D and Atefeh Beydokhti (M.A); Necessary of human relationship in current life: Do SMS addiction is threat or opportunity? ABSTRACT Objective :Aim of this research is study of necessary of human relationship in current life.The use of the mobile and other technology tools has increased considerably over the last few years. With this increasing number of mobile users, the problem of SMS addiction has attracted high attention from psychiatrists, psychologists and educators. Materials and Methods: In this study the descriptive method used. All of the student of Islamic Azad university Mazandaran Province were considered as population of this research. The sample included 345 students were selected by using Kerejcie and Morgan's table. The research instruments was Social Anxiety and SMS addiction questionnaires. As for the reliability of the instrument, Cronbach -Alpha coefficients were calculated 0.81. and 0.76. The scores obtained from both questionnaires were subjected to a number of descriptive and inferential statistics. Results :Results of research showed that: There is a relationship between students SMS addiction and their social anxiety (r= 0.389, P<.05). There is significant difference between SMS addiction in Married and No married students (t= 2.648, P<.05 ).There isn’t significant difference between social anxiety in students of university with different age. (F= 0.706, P>.05 ). Conclusion: Cellular phone use (CPU) is an important part of today life. Text-message dependency may be based on an acute need for interpersonal communication . SMS addiction not only is a threat for life but also it have many opportunities for success and achievement. Key words: social anxiety, SMS addiction, college students. Introduction Internet addiction and text-message dependency or SMS addiction is handled as a dependent tendency on some particular behavior in relation to usage of the communication media rather than as a unique psychiatric disorder [44]. Some of researchers believe that text-message dependency would be mainly induced by certain predispositions such as impulse control problems and social anxiety. In other words, Internet and text-message dependency should be treated with more care for its antecedents and may have some threats for good human relationship. In today life ,world of technology, SMS and Internet addiction is a relatively common problem especially among students. Text messaging or instant messaging, is on the rise among young people. SMS and Internet addiction have symptoms such as poor human relationship ,loneliness ,low self esteem ,negative attitudes toward others etc [13,14]. The Internet was once used by adolescents to fulfill their needs for entertainment or to learn new information [42]; however, today they are increasingly using it to interact with friends. Problematic CPU could be considered as one form of technological addictions. Because DSM-IV-TR does not offer a category for addictions [1], confusion has reigned in the diagnosis, treatment, and research of these conditions. A popular response, reflected in the work of addictions researchers such as Griffiths [10], is that non-substance addictions are compared to the diagnostic criteria for established substance addictions to provide both a biopsychosocial context and a direction for a comprehensive model of addiction [9,39]. Cell phone use is also on the rise among young people. A recent Pew Internet research study reported that approximately 33% of teens not only have a cell phone [25], but approximately 64% of them said they send text messages on a regular basis. Mirroring the uses of IMs, young females also tend to use text messaging more so than do males. Although some research suggests that computer mediated technologies and socially interactive technologies promote and even increase face-to-face social interaction [30], others argue that these technologies allow users to avoid or replace face-toface communication [34]. If the person is shy (socially anxious) and feels uncomfortable with face- Corresponding Author Ramazan Hassanzadeh. Ph.D., Department of Psychology, Islamic Azad University, Sari- Branch (Iran). 1923 Adv. Environ. Biol., 6(7): 1922-1927, 2012 to-face interactions, these technologies may serve as a useful tool for avoiding such unpleasant situations and therefore may replace face-to-face communication. Social anxiety influences technological versus face-to-face communication. Although the widespread availability of textmessages provides a convenient way of communication, it has been pointed out that some people show overdependence on text-messages in their daily lives, or the so-called ‘text-message dependency’ [17]. According to the definition and the characteristics of Internet dependency introduced above, this study operationally defines text-message dependency as “text-messaging-related compulsive behavior that causes psychological/behavioral symptoms resulting in negative social outcomes.” Although this definition involves broader ranges of phenomenon caused by text-messages, this study particularly aims to focus on the relationship between psychosocial factors and psychological/behavioral symptoms throughout the process of text-message usage. In terms of text-message dependency, interpersonal relationships with intimate friends are considered to be a significant trigger [32,41]. The contextual mobility of mobile phones provides freedom of choice to users in both private and public situations [20]. In particular, text-message dependency may be based on an acute need for interpersonal communication. Text-messages are exchanged mainly within existing social networks composed of acquaintances who have already known each other [19]. Although text-messages are useful for maintaining weak and strong relationships, they also cause ‘text-messaging ostracism’ that leads to isolation or exclusion in text-message-mediated friendship networks [40]. Thus, some people may be obsessive about receiving and sending text-messages to avoid rejection, implying that text-message dependency is related to a compulsion for gaining approval from intimate friends. Compulsive use of communication media may produce negative social outcomes. Due to excessive time spent online, psychological/behavioral symptoms, such as sleeping disorder and social withdrawal, come to appear [46]. Existing research has revealed a strong positive relationship between psychological/behavioral symptoms and the amount of time spent on the Internet [46]. In fact, while people who use the Internet for many hours can become dependent on the Internet, it is also plausible that one can spend large amounts of time on the Internet without experiencing psychological/behavioral symptoms. For example, recent research has reported that first year college students in Japan exchange 20.1 textmessages on average in a day [17]. Recently, Igarashi et al. [19] proposed three factors of selfperception related to psychological/behavioral symptoms of text-message dependency. The first factor is the perception about excessive use of textmessages. Heavy message users spend a substantial amount of time exchanging messages throughout the day and may perceive themselves as being too involved in text-messages without self-control. The second factor is the perception about relationship maintenance function of text-messages by means of an alternative for face-to-face communication. While text-messages are most frequently used among adolescents, there is evidence that adolescents especially yearn for building close relationships and having a strong anxiety toward failure in communication [25]. Although there is no specific personality factors predicting Internet dependency, several studies have examined the relationship of Internet dependency with individual dispositions, such as self-esteem [2], perceived social skills [5], and loneliness [17]. However, CPU may result in physiological and psychological complications. For example, cellular phone radiation can lead to the change of genetic regulation [47] and exacerbate oxidative stress in corneal and lens tissues [3]. Long-term CPU can cause neck, shoulder and low back pain [11]. Frequent computer-related activities increase the risk of neck–shoulder and low back pain in adolescents. Previous studies also found that long-term CPU might lead to brain tumors [12,15]. Although it is still controversial whether CPU can replace smoking in adolescents [6,22], intensive CPU has been found to be associated with adolescent alcohol drinking and weekly spending money [22] and increased body mass index [24]. Kamibeppu and Sugiura [21] also found that the insecure feeling about not receiving a reply message or call on cellular phones would make adolescents start staying up late at night engaged in message exchange, and their regular daily schedules were interfered with. Meanwhile, while there is legislative control for CPU when driving in many countries, it is evident that people disregard such bans in favor of using their cellular phones in the face of potential danger [23]. Researchers and psychologists need to be concerned about the behavioral and psychological aspects that play a role in defining problematic CPU behavior [4,44]. However, gender gaps in usage extensity and intensity soon narrowed, and in many places, women even began to lead after 1998.In his Norwegian study of 2001, Rich Ling found that among teenagers, more females than males were in possession of a mobile phone [28], while among young adults (over 20), the reverse was the case. In this advanced age, more males than females owned a handset, and they used it more intensively [29,27]. Women reached their peak usage intensity relatively early, at 18, while men reached it much later, at about 23, when they sent significantly more calls than women of the same age [27,8]. The researchers concluded that when access to a readily borrowed mobile telephone 1924 Adv. Environ. Biol., 6(7): 1922-1927, 2012 is reduced – that is when they move away from home – young women are not motivated to the same degree as boys to establish their own subscription. In accordance with this hypothesis, Ling [27] also found that more boys than girls pay their phone bill themselves, instead of getting “subsidies” from home. However, psychological gender divergences may also be involved because it has been found that women seem to become more reluctant to talk on mobile phones when they get older than 25-30. [28]. Mobile phone use is banned or illegal under certain circumstances and in some jurisdictions. Nevertheless, some people still use their mobile phones despite recognized safety concerns, legislation, and informal bans [4]. The men and women have always been found to maintain quite different attitudes toward the phone and to give it a different place in their whole “communicative economy” [33,37]. In a very early study of mobile phone usage, Rakov and Navarro hypothesized that the mobile telephone was reinforcing conventional gender patterns, e. g. by emphasizing the role of the woman as an “accessible nurturer” and a person in need of male protection [38]. Without corroborating the need for such dramatic typological characterizations, later studies have nevertheless confirmed that the motivations and goals of cell phone usage patterns vary in accordance with rather conventional gender roles. The symptom of “giving up or reducing important social, academic, or recreational activities because of CPU” was the symptom that was most associated with functional impairment caused by CPU. Compared with other symptoms of problematic use, this symptom was easier to be detected by others [43]. Materials and Methods: The method of the study was descriptive. All of the student of Islamic Azad university Mazandaran province were considered as population of this research. The sample included 345 students were selected by using Kerejcie and Morgan's table. The research instruments was Social Anxiety and SMS addiction questionnaires .A shortversion of the self-perception of text-message dependency scale [18] serves to measure the way in which people perceive their usage of text-messages along with their attitude toward compulsive use of text-messages in the context of interpersonal relationships. The original scale consists of three subscales: perception of emotional reaction(1-5), excessive use(6-10), and relationship maintenance(11-15). The emotional reaction subscale measures sensitive responses to text-messages (e.g., “I feel disappointed if I don’t receive any textmessages”). The perception of excessive use subscale involves self-perception about compulsive usage of text-messages (e.g., “I sometimes spend many hours on text-messages”). The relationship maintenance subscale is composed of items related to fear of disruption of relationships without text-messages (e.g., “I cannot maintain new friendships without text-messages”). For the current study, we chose five representative items from each subscale based on the factor loadings of the original scale1. Respondents were asked to rate each of the item on a 5-point scale anchored by strongly agree to strongly disagree. As for the reliability of the instrument, Cronbach -Alpha coefficients were calculated 0.81. and 0.76. The scores obtained from both questionnaires were subjected to a number of descriptive and inferential statistics. Methods: Results: Table 1: Brief results of t- test. Groups N No married 236 Married 109 M 39.0636 41.8532 SD 9.10273 9.07971 Hypothesis number one. In this study, the t-test (t=2.648, p<0.05) showed that there is significant Table 2: Brief results of ANOVA. Source of SS variations Between 200.917 Groups Within 19305.211 Groups Total 19506.128 t 2.648 P-Value P<.05 difference between SMS addiction in Married and No married students. df MS F P-Value 5 40.183 0.706 P>.05 339 56.948 344 Hypothesis number two. In this study, the F-test (ANOVA) (F= 0.706, P>.05) showed that there isn’t Table 3: Brief results of Pearson’s correlation. hypothesis N 1 345 dF 343 Ro 0.389 significant difference between social anxiety in students of university with different age. rc 0.195 dF 343 P-Value P<.05 1925 Adv. Environ. Biol., C(): CC-CC, 2012 Hypothesis number three. In this study ,since coefficient of correlation (r=0.389)with degree of freedom of df=343 in confidence level of 95 percent (α=0.05) is more than critical coordination coefficient(r=0.195),H0 is rejected and research hypothesis is approved. It is concluded that there is a relationship between students SMS addiction and their social anxiety. Discussion: Results of research showed that students of university have social anxiety and SMS addiction .There is a relationship between students SMS addiction and their social anxiety. There is significant difference between SMS addiction in Married and No married students .There isn’t significant difference between social anxiety in students of university with different age .Interpersonal transactions are a fundamental element of society, and by extending the reach and immediacy of communication, the mobile phone has changed the scope of interpersonal interaction [36]. Sometimes, if people with text message dependency do not receive an instant reply to the message they send, they may feel neglected or isolated, have negative feelings about others, and their anxiety about being ostracized would increase [35]. Introduced to the Australian market in 1987, mobile phone connections exceeded the number of landline connections by 2001, and a nationwide estimate in 2004–5 revealed that at least 81% of the Australian population used a mobile phone. The phenomenal uptake of this technology indicates that it has struck a strong chord within the community in a way that some other technologies might not have [16]. Hence a consideration of factors associated with the uptake of the mobile phone may be informative when contemplating other innovations. Nevertheless, despite having a tremendous impact on the lives of many people, the mobile phone and internet, with some side effects such as anxiety, loneliness, low self esteem ,poor human relationship etc., [13,14]. has only recently started to attract the interest of psychologists and experts. As a communication tool, the mobile phone is used mostly for either business or social purposes, but as it is such a personal device it is also used as an illustration of status, security and identity [36]. It is therefore highly likely that the personality of an individual will predict types of mobile phone use [4]. In modern times, we can trace the desire to call certain behaviors without drugs “addictions” to the rise and popularity of coin-operated and home video games in the 1970s and 1980s. Really, is SMS and texting an addiction, or just the latest technological fad that people obsess about for awhile? Cellular phone use (CPU) is an important part of current life in many developed countries [7]. In the Asia Pacific region, Taiwan is the first economy to have more than 100 subscribers of cellular phones per 100 inhabitants . To moderate such obstacles in face-toface situations, adolescents may prefer indirect communication via text-messages. Consequently, it may cause compulsive use of text-messages, and thus psychological/behavioral symptoms are incurred. Finally, the third factor is emotional reaction to textmessages. Since text-messaging is asynchronous communication, people with text message dependency would pay excessive attention to message replies. Most people would attribute a delay in response to inevitable causes, such as the receiver being busy at work, or already being engaged in a conversation with another person. However, if people with text message dependency do not receive an instant reply to the message they send, they may feel neglected or isolated, and increase their anxiety about being ostracized. Thus, these perceptions, rather than the actual amount of text-messages, would be potential causes of psychological/ behavioral symptoms. However, the use of the mobile and other technology tools has increased considerably over the last few years. With this increasing number of mobile users, the problem of SMS addiction and effect of text message dependency on good communications has attracted high attention from psychiatrists, psychologists and educators. References 1. 2. 3. 4. 5. 6. 7. 8. American Psychiatric Association, 2000. Diagnostic and statistical manual of mental disorders (4th ed.), American Psychiatric Association, Washington (DC) Text Revision. Armstrong, L., J.G. Phillips, L.L. Saling, 2000. Potential determinants of heavier Internet usage, International Journal of Human-Computer Studies, 53: 537-550. Balci, M., E. Devrim, I. Durak, 2007. Effects of mobile phones on oxidant/antioxidant balance in cornea and lens of rats, Current Eye Research, 32: 21-25. Bianchi, A., J.G. Phillips, 2005. Psychological predictors of problem mobile phone use, Cyberpsychology & Behavior, 8: 39-51. Caplan, S.E., 2002. Problematic Internet use and psychosocial well-being: Development of a theory-based cognitive-behavioral measurement instrument, Computers in Human Behavior, 18: 553-575. Charlton, A., 2000. Decline in teenage smoking with rise in mobile phone ownership: hypothesis, BMJ., 321: 1155. Chen, Y.F., J.E. Katz, 2009. Extending family to school life:College student’s use of the mobile phone.International Journal of human – Computer Studies, 67: 179-191. Geser Hans, 2006. Are girls (even) more addicted? Some gender patterns of cell phone usage. In: Sociology in Switzerland: Sociology 1926 Adv. Environ. Biol., C(): CC-CC, 2012 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. of the Mobile Phone. Online Publications. Zuerich, June 2006. http://socio.ch/mobile/t_geser3.htm. Grant, J.E., J.A. Brewer, M.N. Potenza, 2006. The neurobiology of substance and behavioral addictions, CNS Spectrums, 11: 924-930. Griffiths, M.D., 1996. Gambling on the internet: a brief note, Journal of Gambling Studies, 12: 471-473. Hakala, P.T., A.H. Rimpela, L.A. Saarni, J.J. Salminen, 2006. Frequent computer-related activities increase the risk of neck–shoulder and low back pain in adolescents, European Journal of Public Health, 16: 536-541. Hansson, K., L. Mild, Hardell, M. Carlberg, 2007. Pooled analysis of two Swedish case– control studies on the use of mobile and cordless telephones and the risk of brain tumours diagnosed during 1997–2003. International Journal of Occupational Safety & Ergonomics, 13: 63-71. Hassanzadeh, R. and A. Rezaei, 2011. Effect of Sex, Course and Age on SMS Addiction in Students, Middle-East Journal of Scientific Research, 10(5): 619-625. Hassanzadeh, R., A. Beydokhti and F. Danesh Zadeh, 2012. The Prevalence of Internet Addiction among University Students:A General or Specific Problem? J. Basic. Appl. Sci. Res., 2(5): 30-40. Hepworth, S.J., M.J. Schoemaker, K.R. Muir, A.J. Swerdlow, M.J. van Tongeren and P.A. McKinney, 2006. Mobile phone use and risk of glioma in adults: case–control study, BMJ., 332: 883-887. Horst, M., M. Kuttschreuter, J.M. Gutteling, 2007. Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands, Computers in Human Behavior, 23: 1838-1852. Igarashia, T., T. Motoyoshib, J. Takai and T. Yoshida, 2008. No mobile, no life: Selfperception and text-message dependency among Japanese high school students.Computers in Human Behavior, 24: 2311-2324. Igarashi, T., T. Motoyoshi, J. Takai and T. Yoshida, 2005. The text messaging addiction scale: Factor structure, reliability, and validity. Paper presented at the sixth biennial conference of the Asian Association of Social Psychology, Wellington, New Zealand. Igarashi, T., J. Takai and T. Yoshida, 2005. Gender differences in social network development via mobile phone text messages: A longitudinal study, Journal of Social and Personal Relationships, 22: 691-713. Ishii, K., 2006. Implications of mobility: The uses of personal communication media in 21. 22. 23. 24. 25. 26. 27. 28. 29. everyday life, Journal of Communication, 56: 346-365. Kamibeppu, K. and H. Sugiura, 2005. Impact of the mobile phone on junior high-school students' friendships in the Tokyo metropolitan area, Cyberpsychology & Behavior, 8: 121-130. Koivusilta, L., T. Lintonen, A. Rimpelä, 2005. Intensity of mobile phone use and health compromising behaviours – how is information and communication technology connected to health-related lifestyle in adolescence?, Journal of Adolescence, 28: 35-47. Laberge-Nadeau, C., U. Maag, F. Bellavance, S.D. Lapierre, D. Desjardins, S. Messier et al., 2003. Wireless telephones and the risk of road crashes, Accident Analysis and Prevention, 35: 649-660. Lajunen, H.R., A. Keski-Rahkonen, L. Pulkkinen, R.J. Rose, A. Rissanen, J. Kaprio, 2007. Are computer and cell phone use associated with body mass index and overweight? A population study among twin adolescents, BMC Public Health, 7: 24. Lenhart, A., M. Madden, P. Hitlin, 2005. Youth are leading the transition to a fully wired and mobile nation. Pew Internet & American Life Project. Retrieved on April 16, 2007. Available from: http://www.perinternet.org/. Ling, R., 1999b. “’We release them little by little’: maturation and gender identity as seen in the use of mobile telephone”. International Symposium on Technology and Society (ISTAS`99) Women and Technology: Historical, Societal and Professional Perspectives.” July 2931, Rutgers University, New Brunswick, New Jersey. http://www.telenor.no/fou/program/nomadiske/a rticles/11.pdf. Ling, R., 2001a. Adolescent Girls and young adult men: Two subculture of the mobile telephone Kjeller, Telenor Research and development R&D Report 34/2001). http://www.telenor.no/fou/program/nomadiske/a rticles/rich/(2001)Adolescent.pdf. Ling, R., 2001b. The diffusion of mobile telephony among Norwegian teens. A report after the revolution. Presented at ICUST 2001, in Paris, June 2001. http://www.telenor.no/fou/program/nomadiske/a rticles/rich/(2001)Report.pdf. Ling, R., P. Helmersen, 2000. “It must be necessary, it has to cover a need”: The adoption of mobile telephony among pre-adolescents and adolescents.” Presented at the conference on the social consequences of mobile telephony. 16 June 2000, Oslo, Norway. http://www.telenor.no/fou/program/nomadiske/a rticles/06.pdf 1927 Adv. Environ. Biol., C(): CC-CC, 2012 30. McKenna, K.Y.A., J.A. Bargh, 1999. Causes and consequences of social interaction on the Internet, Media Psychology, 1: 249-269. 31. Mersch, P.P.A., 1995. The treatment of social phobia: The differential effectiveness of exposure in vivo and an integration of exposure in vivo, rational emotive therapy and social skills training. Behaviour Research and Therapy, 3: 259-269. 32. Markus, H.R., S. Kitayama, 1991. Culture and the self: Implications for cognition, emotion, and motivation, Psychological Review, 98: 224-253. 33. Moyal, Ann, 1989. The feminine Culture of the Telephone. Prometheus, 7(1): 5-31. 34. Nie, N.H., D.S. Hillygus, L. Erbring, 2002. Internet use, interpersonal relations, and sociability: A time diary study. In: B. Wellman and C. Haythornthwaite, Editors, The Internet in everyday life, Blackwell, Malden, MA pp: 215243. 35. Pierce, T., 2009. Social anxiety and technology: Face-to-face communication versus technological communication among teens.Computers in Human Behavior, pp: 13671372. 36. Plant, S., 2000. ‘On The Mobile: The Effect of Mobile Telephones on Social and Individual Life’[WWW document]. Retrieved September 10,2005, from, http://www.motorola.com. 37. Rakow, Lana F., 1992. Gender on the Line, Women, the telephone and Community life. Urbana and Chicago: University of Illinois Press. 38. Rakow, L.F., V. Navarro, 1993. Remote mothering and the parallel shift: Women meet the cellular telephone. Critical studies in mass communication, 10: 144-157. 39. Rutland, J.B., T. Sheets and T. Young, 2007. Development of a scale to measure problem use of short message service: the SMS problem use diagnostic questionnaire, Cyberpsychology & Behavior, 10: 841-843. 40. Smith A. and K.D. Williams, 2004. R U there? Effects of ostracism by cell phone messages, Group Dynamics: Theory, Research, and Practice, 8: 291-301. 41. Triandis, H.C., 1995. Individualism and collectivism, Westview Press, San Francisco, CA. 42. Valkenburg, P.M., K. Soeters, 2001. Children’s positive and negative experiences with the Internet, Communication Research, 28: 653-676. 43. Yen, C.F., T.C. Tang, J.Y. Yen, H.C. Lin, C.F. Huang, S.C. Liu, C.H. Ko, 2009. Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. Journal of Adolescent Health, 32: 863873. 44. Yellowlees, P.M. and S. Marks, 2007. Problematic Internet use or Internet addiction?, Computers in Human Behavior, 23: 1447-1453. 45. Young, K.S., 1996. Psychology of computer use: XI. Addictive use of the Internet: A case that breaks the stereotype, Psychological Reports, 79: 899-902. 46. Young, K.S., 1998. Caught in the net: How to recognize the signs of Internet addiction and a winning strategy for recovery, John Wiley & Sons, NY. 47. Zhao, T.Y., S.P. Zou, P.E. Knapp, 2007. Exposure to cell phone radiation up-regulates apoptosis genes in primary cultures of neurons and astrocytes, Neuroscience Letters, 412: 3438.