Abstract
Purpose:
This study aimed to develop a smartphone overdependence prevention program for college students based on the self-determination theory (SDT) and evaluate its effectiveness.
Methods:
A non-equivalent control group repeated measures design was used for the study. Participants were 64 university freshmen (experimental group: 29, control group: 35). The developed program consists of eight sessions conducted twice a week. The program was designed to promote autonomy, competence, and relatedness the three elements of the basic psychological needs of self-determination theory. The participants were assessed before the program, immediately after, and 1 and 3 months after the program. Data were collected from April 23 to September 14, 2018 and analyzed by performing a Chi-square test, Fisher’s exact test, independent t-test, and repeated measures ANOVA using SPSS/WIN 23.0.
Results:
This study showed improvement in the basic psychological needs (F=3.90, p=.010) in the experimental group compared to the control group. Specifically, competence (F=2.93, p=.035), relatedness (F=2.89, p=.045), and self-regulatory ability (F=3.11, p=.028) improved significantly.
Conclusion
Study findings indicate that the smartphone overdependence prevention program based on the Self-determination theory could be an effective intervention for improving basic psychological needs and self-regulation ability. Therefore, this program could be an efficient strategy for smartphone overdependence prevention in university students.
REFERENCES
1. Samaha, M, Hawi, NS. Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior. 2016; 57:321–325. https://doi.org/10.1016/j.chb.2015.12.045.
2. Poushter J, Bishop C, Chwe H. Social media use continues to rise in developing countries but plateaus across developed ones [Internet]. Washington, D.C. : Pew Research Center;2018. [cited 2018 Dec 19]. Available from:. https://www.pewre-search.org/global/2018/06/19/social-media-use-continues-to-rise-in-developing-countries-but-plateaus-across-developed-ones/.
3. National Information Society Agency (NIA). 2016 Digital culture forum policy research report. Daegu: NIA;2016. Dec. Report No.: NIA V-RER-B-16007. p. 251–281.
4. Lee SR, Kim HS. The effect of smartphone overdependence on university life adjustment of university students: Focused on the mediating effect of self-efficacy and the moderating effect of social support. Locality and Globality: Korean Journal of Social Sciences. 2017; 41(2):157–184. https://doi.org/10.33071/ssricb.41.2.201708.157.
5. Ministry of Science and ICT (MSIT); National Information Society Agency (NIA). 2018 The survey on smart phone overdependence. Daegu: MSIT; NIA;2018. Dec. Report No.: NIA VI-RSE-C-18060. p. 296.
6. Choi H, Chung KM. Effects of feedback intervention on decrease of smartphone usage of smartphone addiction risk group of college students. Korean Journal of Clinical Psychology. 2016; 35(2):365–391.
7. Lee JW, Lee NY. The effect of stress about campus life and college life adaptation on smartphone addiction of college students. Journal of Learner-Centered Curriculum and Instruction. 2018; 18(2):303–317. https://doi.org/10.22251/jlcci.2018.18.2.303.
8. Kwon MS, Lee BY. Relationship among basic psychological needs, smartphone addiction and adaptation to school life in university students. Journal of Korean Public Health Nursing. 2017; 31(3):540–553. https://doi.org/10.5932/JKPHN.2017.31.3.540.
9. Lee SH. The college adaptation and smartphone addiction in university enterents: The mediating effect of interpersonal support relationship. Journal of the Korea Academia-Industrial cooperation Society. 2019; 20(4):149–159. https://doi.org/10.5762/KAIS.2019.20.4.149.
10. Sawyer SM, Afifi RA, Bearinger LH, Blakemore SJ, Dick B, Ezeh AC, et al. Adolescence: A foundation for future health. The Lancet. 2012; 379(9826):1630–1640. https://doi.org/10.1016/S0140-6736(12)60072-5.
11. Kwon MS, Jin J. Exploring the basic psychological needs necessary for the internalized motivation of university students with smartphone overdependence: Applying a self-determination theory. Journal of Korean Academy of Psychiatric and Mental Health Nursing. 2019; 28(1):26–36. https://doi.org/10.12934/jkpmhn.2019.28.1.26.
12. Jin J. Experiences of smartphone addiction among university students. Journal of Digital Convergence. 2017; 15(2):421–429. https://doi.org/10.14400/JDC.2017.15.2.421.
13. Deci EL, Ryan RM. Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology/ Psychologie canadienne. 2008; 49(1):14–23. https://doi.org/10.1037/0708-5591.49.1.14.
14. Deci EL, Ryan RM. The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry. 2000; 11(4):227–268. https://doi.org/10.1207/S15327965PLI1104_01.
15. Kopp CB. Antecedents of self-regulation: A developmental perspective. Developmental Psychology. 1982; 18(2):199–214. https://doi.org/10.1037/0012-1649.18.2.199.
16. Gökçearslan Ş, Mumcu FK, Haşlaman T, Çevik YD. Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior. 2016; 63:639–649. https://doi.org/10.1016/j.chb.2016.05.091.
17. Park JH, Park JH. The relationships among interpersonal relationship anxiety, college adjustment, self-control, and smart-phone addiction in nursing students. Journal of the Korean Data & Information Science Society. 2017; 28(1):185–194. https://doi.org/10.7465/jkdi.2017.28.1.185.
18. Jang SH, Ha Y. The effects of self-determination, depression, self-esteem, and impulsivity on smartphone overdependence of college students. Journal of Digital Convergence. 2019; 17(1):269–280. https://doi.org/10.14400/JDC.2019.17.1.269.
19. Boumosleh JM, Jaalouk D. Depression, anxiety, and smart-phone addiction in university students- a cross sectional study. PLoS One. 2017; 12(8):e0182239. https://doi.org/10.1371/journal.pone.0182239.
20. Wu AMS, Cheung VI, Ku L, Hung EPW. Psychological risk factors of addiction to social networking sites among Chinese smartphone users. Journal of Behavioral Addictions. 2013; 2(3):160–166. https://doi.org/10.1556/JBA.2.2013.006.
21. Lan Y, Ding JE, Li W, Li J, Zhang Y, Liu M, et al. A pilot study of a group mindfulness-based cognitive-behavioral intervention for smartphone addiction among university students. Journal of Behavioral Addictions. 2018; 7(4):1171–1176. https://doi.org/10.1556/2006.7.2018.103.
22. Jung ES, Son CN. Effects of mindfulness-based cognitive therapy on internet addiction level, anxiety, and stress of college students with Internet addiction. Korean Journal of Clinical Psychology. 2011; 30(4):825–843.
23. Yoo HK, Son CN. Effects of ACT on smartphone addiction level, self-control, and anxiety of college students with smartphone addiction. Journal of Digital Convergence. 2016; 14(2):415–426. https://doi.org/10.14400/JDC.2016.14.2.415.
24. Choi EM, Kim MS. The effect of motivational interview oriented and cognitive behavioral group counseling for college students with smartphone addiction. Korean Journal of Counseling. 2016; 17(3):169–185.
25. Bang JH. The effects of smart phone addiction management application on self-regulation and interpersonal relationship ability of university students. Journal of Korea Entertainment Industry Association. 2016; 10(2):323–337. https://doi.org/10.21184/jkeia.2016.04.10.2.323.
26. Lee EH, Park JW. A structural equation model on health be- havior adherence for elders with prehypertension: Based on self-determination theory. Journal of Korean Academy of Fundamentals of Nursing. 2012; 19(3):343–352. https://doi.org/10.7739/jkafn.2012.19.3.343.
27. Seo YM, Choi WH. A predictive model on self care behavior for patients with type 2 diabetes: Based on self-determination theory. Journal of Korean Academy of Nursing. 2011; 41(4):491–499. https://doi.org/10.4040/jkan.2011.41.4.491.
28. Cho JH. Effects of a motivation-enhanced weight loss program for women with abdominal obesity: Based on the self-determination theory [dissertation]. Seoul: Korea University;2013. p. 1–126.
29. Ha YS, Choi YH. Effectiveness of the self-determination theory based a motivational interviewing YOU-TURN program for smoking cessation among adolescents. Journal of Korean Academy of Nursing. 2015; 45(3):347–356. https://doi.org/10.4040/jkan.2015.45.3.347.
30. Park GR, Kim HS. Effects of a group counseling integration program on self-determination and internet addiction in high school students with tendency to internet addiction. Journal of Korean Academy of Nursing. 2011; 41(5):694–703. https://doi.org/10.4040/jkan.2011.41.5.694.
31. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods. 2007; 39(2):175–191.
32. Ryan RM, Deci EL. Self-determination theory: Basic psychological needs in motivation, development, and wellness. New York: Guilford Press;2017. p. 1–756.
33. Williams GC, Patrick H, Niemiec CP, Ryan RM, Deci EL, Lavigne HM. The smoker’s health project: A self-determination theory intervention to facilitate maintenance of tobacco abstinence. Contemporary Clinical Trials. 2011; 32(4):535–543. https://doi.org/10.1016/j.cct.2011.03.002.
34. Mun SY, Lee BS. Effects of an integrated internet addiction prevention program on elementary students’ self-regulation and internet addiction. Journal of Korean Academy of Nursing. 2015; 45(2):251–261. https://doi.org/10.4040/jkan.2015.45.2.251.
35. An NY, Kim JH, Jeong DH, Chang MY, Nam SH, Kong JY. Korean assistive technology satisfaction assessment tool development. Journal of Korean Society of Occupational Therapy. 2014; 22(2):113–124.
36. Jeon SH, You YD. A study on the research trend and effects of domestic smart-phone addiction program. Journal of Student Guidance. 2017; 37:263–294.
37. Ministry of Government Legislation. The basic youth act [Internet]. Sejong: Ministry of Gender Equality and Family;2018. [cited 2019 Apr 11]. Available from:. http://www.law.go.kr/LSW//lsInfoP.do?lsiSeq=199555&efYd=20180613#0000.
38. Lee MH, Kim AY. Development and construct validation of the basic psychological needs scale for Korean adolescents: Based on the self-determination theory. Korean Journal of Social and Personality Psychology. 2008; 22(4):157–174.
39. Kuhl J, Fuhrmann A. Decomposing self-regulation and self-control: The volitional components inventory. Heck-hausen J, Dweck CS, editors. Motivation and Self-Regulation across the Life Span. New York: Cambridge University Press;1998. p. 15–49. https://doi.org/10.1017/CBO9780511527869.003.
40. Yoon YS. A study on self-regulatory ability of adolescents and its relationship with personality, parenting, behavior problems, and life stress [dissertation]. Seoul: Sookmyung Women’s University;2007. p. 1–112.
41. Baker RW, Siryk B. SACQ: Student adaptation to college questionnaire: Manual. Los Angeles (CA): Western Psychological Services;1999. p. 1–79.
42. Lee YJ. The non-residential student’s adaptation to college life and career plans [master’s thesis]. Seoul: Ewha Womans University;1999. p. 1–92.
43. IEMBIO. The manual of Canopy9 RSA. Chuncheon: IEMBIO;2013. 44. Vansteenkiste M, Simons J, Soenens B, Lens W. How to become a persevering exerciser? Providing a clear, future intrinsic goal in an autonomy-supportive way. Journal of Sport and Exercise Psychology. 2004; 26(2):232–249. https://doi.org/10.1123/jsep.26.2.232.
45. Webber KH, Tate DF, Ward DS, Bowling JM. Motivation and its relationship to adherence to self-monitoring and weight loss in a 16-week internet behavioral weight loss intervention. Journal of Nutrition Education and Behavior. 2010; 42(3):161–167. https://doi.org/10.1016/j.jneb.2009.03.001.
46. van Deursen AJAM, Bolle CL, Hegner SM, Kommers PAM. Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior. 2015; 45:411–420. https://doi.org/10.1016/j.chb.2014.12.039.
47. Lee K, Kim M. Effects of a rational emotive behavior therapy counseling program on self-efficacy and adjustment to college life for nursing freshmen. The Journal of Korean Academic Society of Nursing Education. 2018; 24(4):443–452. https://doi.org/10.5977/jkasne.2018.24.4.443.
48. Hong SH, Kim DR. The relationship between internet addiction level and autonomic nervous system function in college students. Journal of the Korean Data Analysis Society. 2014; 16(3):1699–1714.
Table 1.
Table 2.
Characteristics | Categories |
Exp. (n=29) |
Cont. (n=35) |
χ2 or t | p |
---|---|---|---|---|---|
n (%)/M±SD | n (%)/M±SD | ||||
Gender | Male | 9 (31.0) | 4 (11.4) | 3.77 | .052 |
Female | 20 (69.0) | 31 (88.6) | |||
Age (yr) | 19.2±1.10 | 19.1±0.45 | 0.40 | .694 | |
Department | Social science and Humanities | 10 (34.5) | 10 (28.6) | 0.31 | .858 |
Nature science | 10 (34.5) | 14 (40.0) | |||
Biomedical science | 9 (31.0) | 11 (31.4) | |||
Satisfaction with college life† | Very satisfied | 4 (13.7) | 5 (14.3) | 0.89 | >.999 |
Satisfied | 19 (65.6) | 22 (62.8) | |||
Average | 6 (20.7) | 7 (20.0) | |||
Unsatisfied | 0 (0.0) | 1 (2.9) | |||
Satisfaction with family life† | Very satisfied | 14 (48.3) | 13 (37.1) | 1.78 | .725 |
Satisfied | 11 (37.9) | 17 (48.6) | |||
Average | 4 (13.8) | 4 (11.4) | |||
Unsatisfied | 0 (0.0) | 1 (2.9) | |||
Time of first use | Below elementary school | 6 (20.7) | 8 (22.9) | 0.00 | .835 |
Over middle school | 23 (79.3) | 27 (77.1) | |||
Usage motivation† | Latest trend | 17 (58.7) | 10 (28.6) | 6.57 | .062 |
Information searching such as news | 2 (6.9) | 2 (5.7) | |||
Relation with people | 9 (31.0) | 21 (60.0) | |||
Others | 1 (3.4) | 2 (5.7) | |||
Mainly used function of smartphone†† | Voice call | 2 (6.9) | 2 (5.7) | ||
SMS | 1 (3.4) | 0 (0.0) | |||
Entertainment function (gaming, hobby etc.) | 3 (10.3) | 4 (11.4) | |||
Web searching | 3 (10.3) | 8 (22.9) | |||
Playing music, movie and youtube | 18 (62.1) | 20 (57.1) | |||
SNS (kakao talk etc.) | 22 (75.9) | 30 (85.7) | |||
Daily smartphone using time (hours)† | 1≤~<3 | 12 (41.4) | 10 (28.6) | 2.08 | .365 |
3≤~<6 | 14 (48.3) | 23 (65.7) | |||
≥6 | 3 (10.3) | 2 (5.7) | |||
Monthly phone bill (KRW)† | <40,000 | 7 (24.2) | 9 (25.7) | 2.34 | .599 |
40,000≤~<80,000 | 17 (58.6) | 23 (65.7) | |||
≥80,000 | 3 (10.3) | 3 (8.6) | |||
Others (don’t know) | 2 (6.9) | 0 (0.0) | |||
Satisfaction of smartphone usage†† | Information searching | 20 (69.0) | 30 (85.7) | ||
Networking through SNS | 18 (62.1) | 19 (54.3) | |||
Relieve stress | 13 (44.8) | 11 (31.4) | |||
Others (Financial effect, use for learning) | 4 (13.8) | 6 (17.1) | |||
Dissatisfaction of smartphone usage†† | High smartphone bill | 6 (20.7) | 6 (17.1) | ||
Decreased health | 18 (62.1) | 18 (51.4) | |||
Decreased academic achievement | 12 (41.4) | 22 (62.9) | |||
Etc (including conflict with parents) | 5 (17.2) | 7 (20.0) | |||
Health status†† | Sleep deprived. | 12 (60.0) | 7 (33.3) | ||
Loss of vision/Dry eye | 14 (70.0) | 16 (76.2) | |||
Headache·Memory loss | 6 (30.0) | 6 (28.6) | |||
Etc (including decreased physical condition) | 1 (5.0) | 2 (9.5) | |||
The importance of smartphone in daily life† | Indispensable | 5 (17.2) | 6 (17.1) | 1.32 | .766 |
Relative importance | 13 (44.9) | 19 (54.3) | |||
Normal | 5 (17.2) | 3 (8.6) | |||
A little | 6 (20.7) | 7 (20.0) | |||
Education experience about smartphone (or | Yes | 16 (55.2) | 26 (74.3) | 2.57 | .109 |
Internet) | No | 13 (44.8) | 9 (25.7) | ||
Self diagnosis (whether or not recognize the addiction by oneself) | Yes No | 13 (44.8) 16 (55.2) | 12 (34.3) 23 (65.7) | 0.74 | .390 |
addiction by oneself) | No | 16 (55.2) | 23 (65.7) | ||
Smartphone overdependence | 22.17±5.20 2 | 21.10±3.94 | 0.85 | .398 | |
Self-control failure | 8.07±2.10 | 7.91±1.58 | 0.34 | .738 | |
Salience | 6.97±2.03 | 6.57±1.46 | 0.90 | .370 | |
Serious consequences | 7.14±2.31 | 6.71±2.31 | 0.73 | .468 | |
Basic psychological needs | 84.72±5.96 8 | 83.91±9.35 | 0.40 | .688 | |
Autonomy | 28.79±3.09 2 | 27.77±4.41 | 1.09 | .282 | |
Competence | 26.45±3.18 2 | 26.23±3.34 | 0.27 | .790 | |
Relatedness | 29.48±3.33 2 | 29.91±3.64 | -0.49 | .626 | |
Self-regulatory ability | 65.03±9.17 6 | 66.31±9.09 | -0.56 | .579 | |
Adaptation to college life | 89.55±10.46 8 | 89.89±11.94 | -0.12 | .907 | |
Stress index | 2.66±1.26 | 2.57±1.27 | 0.26 | .793 |