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Effects of Feedback Intervention on Decrease of Smartphone Usage of Smartphone Addiction Risk Group of College Students

Abstract

The purpose of this study was to examine psychological health of smartphone addiction risk group of college students and effects of feedback intervention on risk of smartphone addiction. For this purpose, first, psychological health status was measured using various questionnaires and Delay Discounting Task and compared with normal user group. Second, after experiment group used a manual feedback program, application of a smartphone that shows smartphone usage time and frequencies when it is directly touched and implemented, the question of whether smartphone usage was decreased compared with the control group was examined. Third, the same experiment was performed using a smartphone application that shows smartphone usage time and frequencies by automatic pop-up messages. In the results, smartphone addiction risk group of college students showed negative results in all the areas of psychological health measured in the study. In addition, the manual feedback program has no effect on decreasing smartphone usage. The automatic feedback program is helpful in decreasing smartphone usage time for 2 weeks after using the program.

keywords
smartphone addiction risk group, mental health, feedback intervention, smartphone application intervention, 스마트폰 중독 위험군, 정신건강, 피드백 중재, 스마트폰 어플리케이션 중재

Reference

1.

Achenbach, T. M., Rescorla, L. A., McConaughey, S., Pecora, P. J., Wetherbee, K. M., & Ruffle, T. M. (2003). The Achenbach system of empirically based assessment. Handbook of Psychological and Educational Assessment of Children: Personality, Behavior, and Context, 2, 406-432.

2.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.

3.

An., J. Y., Kim, M. J., & Lee, S. B. (2014, October 23). Smartphone caused various accidents. Chosunilbo. Retrieved from http://news.chosun.com/site/data/html_dir/2014/10/23/2014102300227.html

4.

Bricker, J. B., Mull, K. E., Kientz, J. A., Vilardaga, R., Mercer, L. D., Akioka, K. J.,& Heffner, J. L. (2014). Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy. Drug and Alcohol Dependence, 143, 87-94.

5.

Brown, P. J., Stout, R. L., & Mueller, T. (1999). Substance use disorder and posttraumatic stress disorder comorbidity: Addiction and psychiatric treatment rates. Psychology of Addictive Behaviors, 13, 115.

6.

Cheong, K. M., & Kim, J. H. (2013). Effects of reward magnitude on the performance of delayed discounting task: Focusing on smoking and drinking behaviors. Korean Journal of Clinical Psychology, 32, 55-76.

7.

Choi, B. Y., & Cheong, K. M. (2011). Utility of delay discounting task as a measure of impulsivity. Korean Journal of Clinical Psychology, 30, 845-869.

8.

Cole, R. S., Todd, J. B. (2013). Effects of web-based multimedia homework with immediate rich feedback on student learning in general chemistry. Journal of Chemical Education. 80, 1338.

9.

Cunningham, J. A., Hodgins, D. C., Toneatto, T.,& Murphy, M. (2012). A randomized controlled trial of a personalized feedback intervention for problem gamblers. PloS one, 7, e31586.

10.

Cunningham, J. A., Koski-Jännes, A., Wild, T. C., & Cordingley, J. (2002). Treating alcohol problems with self-help materials: A population study. Journal of Studies on Alcohol and Drugs, 63, 649.

11.

Dani, J. A., & Harris, R. A. (2005). Nicotine addiction and comorbidity with alcohol abuse and mental illness. Nature Neuroscience, 8, 1465-1470.

12.

Dihoff, R. E., Brosvic, G. M., Epstein, M. L., &Cook, M. J. (2004). Provision of feedback during preparation for academic testing:Learning is enhanced by immediate but not delayed feedback. Psychological Record, 54, 207-232.

13.

Do, A. G.. (2009, October 27). iPhone users think they are unique. Bloter. Retrieved from http://www.bloter.net/archives/18248.

14.

Earley, P. C., Northcraft, G. B., Lee, C., & Lituchy, T. R. (1990). Impact of process and outcome feedback on the relation of goal setting to task performance. Academy of Management Journal, 33, 87-105.

15.

Godino, J. G., Watkinson, C., Corder, K., Marteau, T. M., Sutton, S., Sharp, S. J., & van Sluijs, E. M. (2013). Impact of personalised feedback about physical activity on change in objectively measured physical activity (the FAB study): A randomised controlled trial. PloS one, 8, e75398.

16.

Goldberg, D. (1979). Manual of the general health questionnaire. Windsor, England: NFER Publishing.

17.

Ha, J. H., Yoo, H. J., Cho, I. H., Chin, B., Shin, D., & Kim, J. H. (2006). Psychiatric comorbidity assessed in Korean children and adolescents who screen positive for Internet addiction. Journal of Clinical Psychiatry, 67, 821-826.

18.

Hwang, J. I., & Shin, J. H. (2013). Computer education curriculum and instruction: A study on development and application of an educational program to intervene with elementary school students’ smartphone addiction. The Journal of Korean Association of Computer Education, 16, 23-31.

19.

Hwang, K. H., Yoo, Y. S., & Jo, O. H. (2012). Smartphone overuse and upper extremity pain, anxiety, depression, and interpersonal relationships among college students. Journal of Korea Contents Association, 12, 365-375.

20.

Hwang, M. H., & Park, H. Y. (2005). Career development and school adjustment of college students. Journal of Employment and Skills Development, 8, 157-176.

21.

Jang, S. J. (1994). Development of stress measure and assessment - Development of Psychosocial Well-being Index(PWI). Yonsei Sociology, 14, 71-114.

22.

Jeon, B. J. (1974). Self-esteem: A test of its measurability. Collection of Treatises Yonsei, 11, 107-130.

23.

Jeong, S. R., Yu, H. K., & Nam, S. I. (2014). Development of a group counseling program to prevent addiction to smart-phones in a potential risk group of middle school students. Research of Counseling, 15, 1145-1162.

24.

Kang, M. S. (2014, January 01). The era of 40million of smartphone users. Money Today. Retrieved from http://isplus.live.joins.com/news /article/article.asp?total_id=13533142

25.

Kazdin, A. E. (2006). Assessment and evaluation in clinical practice. In Goodheart, C. D., Kazdin, A. E., & Sternberg, R. J. (Eds.). Evidence-based psychotherapy: Where practice and research meet (pp. 167-173). Washington, DC, US: American Psychological Association

26.

Kim, B. N. (2013). The mediating effect of depression on the relationship between self-control and smartphone-addiction in university students. Korean Journal of Family Social Work, 39, 49-81.

27.

Kim, D. I., Chung, Y. J., & Lee, Y. H. (2013). Delphi study on concepts and components of smart media addiction. Asian Journal of Education, 14, 49-71.

28.

Kim, H. (2013). Exercise rehabilitation for smartphone addiction. Journal of Exercise Rehabilitation, 9, 500.

29.

Kim, H. S., & Won, Y. M. (2005). The consciousness investigation of leisure activities in university students. Korea Youth Research, 12, 457-472.

30.

Kim, J. D. (2010). Evolution of mobile internet service. OSIA Standards & Technology Review, 38, 4-12.

31.

Kim, K., Ryu, E., Chon, M. Y., Yeun, E. J., Choi, S. Y., Seo, J. S., & Nam, B. W. (2006). Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: A questionnaire survey. International Journal of Nursing Studies, 43, 185-192.

32.

Kim, Y., Park, J. Y., Kim, S. B., Jung, I. K., Lim, Y. S., & Kim, J. H. (2010). The effects of Internet addiction on the lifestyle and dietary behavior of Korean adolescents. Nutrition Research and Practice, 4, 51-57.

33.

Korea Communications Commission. (2012). 2011Result of Smartphone Use Research. Seoul:National Information Society Agency.

34.

Korea Internet & Security Agency. (2013). 2013Research of Mobile Internet Use. Seoul: KISA (Korea Internet & Security Agency).

35.

Kreek, M. J., Nielsen, D. A., Butelman, E. R., & LaForge, K. S. (2005). Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nature Neuroscience, 8, 1450-1457.

36.

Lam, L. T., Peng, Z., Mai, J., & Jing, J. (2009). The association between internet addiction and self-injurious behaviour among adolescents. Injury Prevention, 15, 403-408.

37.

Larimer, M. E., Neighbors, C., Lostutter, T. W., Whiteside, U., Cronce, J. M., Kaysen, D., & Walker, D. D. (2012). Brief motivational feedback and cognitive behavioral interventions for prevention of disordered gambling: A randomized clinical trial. Addiction, 107, 1148-1158.

38.

LaRose, R., Lin, C. A., & Eastin, M. S. (2003). Unregulated Internet usage: Addiction, habit, or deficient self-regulation?. Media Psychology, 5, 225-253.

39.

Lee, E. J., & Eo, J. K. (2014). The differences of the impulsivity and parenting attitude of the high school students according to the levels of the smartphone addiction. Journal of Life-span Studies, 4, 1-17.

40.

Lee, G. S. (2014, October 27). 8 of 10 adults show smartphone overuse syndrome. Kookmin Daily. Retrieved from http://news.kmib.co.kr/article/view.asp?arcid=0922824274&code=14130000&cp=nv

41.

Lee, H. H. (2003). The impact of Internet addiction on adaptation: The case of adolescents in island areas of Chonnam. Korea Youth Research, 10, 263-288.

42.

Lee, H. S. (1992). Execution of Impulsivity Test. Seoul: Korea Guidance.

43.

Lee, H. S. (2011, January 22). Adolescents of game addicts increased 32 times during 4years. Yeonhap News. Retrieved from http://www.wwwcap.or.kr/cgi-bin/technote/read.cgi?boa rd=newsday&nnew=2&y_number=1088

44.

Lee, M. S. (2010). Smartphone addiction and related social concerns. (Unpublished master‘s thesis). Yonsei University, Seoul, Korea.

45.

Lee, U., Lee, J., Ko, M., Lee, C., Kim, Y., Yang,S., & Song, J. (Eds.). (2014). Proceedings from 32nd annual ACM CHI 2014: Hooked on smartphones: An exploratory study on smartphone overuse among college students. Toronto, Canada: ACM.

46.

Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z.H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373-383.

47.

Li, G., & Dai, X. (2009). Control study of cognitive. behavior therapy in adolescents with internet addiction disorder. Chinese Mental Health Journal, 23, 457-470.

48.

McKerchar, T. L., Grren, L., Myerson, J., Pickford,T. S., Hill, J. C., & Stout, S. C. (2009). A comparison of four models of delay discounting in humans. Behavioral Processes, 81, 256-259.

49.

Ministry of Science, ICT, and Future Planning(2013). 2012 Result of Internet Addiction Research. Seoul: National Information Society Agency.

50.

Ministry of Science, ICT, and Future Planning(2014). 2013 Result of Internet Addiction Research. Seoul: National Information Society Agency.

51.

Mitchell, S. H. (1999). Measure of impulsivity in cigarette smokers and non-smokers. Psychopharmacology, 164, 455-464.

52.

Moin, A. K. (1986). Relative effectiveness of various techniques of calculus instruction: A meta-analysis. (Unpublished doctoral dissertation). University of Syracuse, Syracuse, New York.

53.

Myerson, J., Green, I., Hanson, S., Holt, D. D., & Estle, S. J. (2003). Discounting delayed and probabilistic rewards: Processes and traits. Journal of Economic Psychology, 24, 619-635.

54.

Myerson, J., Green, L., & Warusawitharana, M.(2001). Area under the curve as a measure of discounting. Journal of the Experimental Analysis of Behavior, 76, 235-243.

55.

Nam, Y. H. (2014. 07. 10). 1 of 8 Koreans are estimated to be addicts. Medical Today. Retrieved from http://www.mdtoday.co.kr/mdtoday/index.html?no=242186&cate=&sub=131&key=&word=&page=

56.

National Information Society Agency (2011). Development of Scale for Smartphone Addiction. Seoul: National Information Society Agency.

57.

Neighbors, C., Lewis, M. A., Bergstrom, R. L., & Larimer, M. E. (2006). Being controlled by normative influences: Self-determination as a moderator of a normative feedback alcohol intervention. Health Psychology, 25, 571.

58.

Park. Y. M. (2011). A Study on Adults' Smart Phone Addiction and Mental Health. (Unpublished master’s thesis). Sangji University, Seoul, Korea.

59.

Proper, K. I., Van der Beek, A. J., Hildebrandt, V. H., Twisk, J. W. R., & Van Mechelen, W. (2003). Short term effect of feedback on fitness and health measurements on self reported appraisal of the stage of change. British Journal of Sports Medicine, 37, 529-534.

60.

Quattrocki, E., Baird, A., & Yurgelun-Todd, D. (2000). Biological aspects of the link between smoking and depression. Harvard Review of Psychiatry, 8, 99-110.

61.

Richards, J. B., Zhang, L., Mitchell, S. H., & de Wit, H. (1999). Delay or probability discounting in a model of impulsive behavior:Effect of alcohol. Journal of the Experimental Analysis of Behavior, 71, 121-143.

62.

Riper, H., Van Straten, A., Keuken, M., Smit, F., Schippers, G., & Cuijpers, P. (2009). Curbing problem drinking with personalized-feedback interventions: A meta-analysis. American Journal of Preventive Medicine, 36, 247-255.

63.

Rosenberg, M. (1965). Society and adolescent self-image. Princeton, NJ: Princeton University Press.

64.

Rupcich, N., Frisch, G. R., & Govoni, R. (1997). Comorbidity of pathological gambling in addiction treatment facilities. Journal of Substance Abuse Treatment, 14, 573-574.

65.

Seo, J. H., & Cheong, K. M. (2014). Improving health-related behaviors and general self-control behaviors through a college-level selfmanagement course. The Korean Journal of Health Psychology, 19, 929-958.

66.

Splett, P. L., & Story, M. (1991). Child nutrition: Objectives for the decade. Journal of the American Dietetic Association, 91, 665-668.

67.

Statistics Korea (2013). Trends of Korean Society. Seoul: Statistics Korea.

68.

The National Gambling Control Commission(2014). 2013 Gambling Industry White Paper. Seoul: The National Gambling Control Commission.

69.

Tsitsika, A., Critselis, E., Louizou, A., Janikian, M., Freskou, A., Marangou, E., & Kafetzis, D. A. (2011). Determinants of Internet addiction among adolescents: A case-control study. The Scientific World Journal, 11, 866-874.

70.

Verdejo-García, A., Lawrence, A. J., & Clark, L.(2008). Impulsivity as a vulnerability marker for substance-use disorders: Review of findings from high-risk research, problem gamblers and genetic association studies. Neuroscience &Biobehavioral Reviews, 32, 777-810.

71.

Voith, L., & Berger, L. (2014). Computer-assisted substance abuse treatment: An interview with Richard Cloud, PhD. Journal of Social Work Practice in the Addictions, 14, 211-218.

72.

Vuchinich, R. E. & Simpson, C. A. (1998). Hyperbolic temporal discounting in social drinkers and problem drinkers. Experimental and Clinical Psychopharmacology, 6, 292-305.

73.

Young, K. S. (2007). Cognitive behavior therapy with internet addicts: Treatment outcomes and implications. Cyberpsychology & Behavior, 10, 671-679.

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