Journal List > J Korean Acad Nurs > v.50(1) > 1143162

Kwon and Yu: Development and Effect of a Smartphone Overdependence Prevention Program for University Students Based on Self-Determination Theory

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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.
crossref
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.

Figure 1.
Flow chart of the study.
jkan-50-116f1.tif
Figure 2.
Average trend of the groups and post hoc test on the effect analysis.
jkan-50-116f2.tif
Table 1.
The Contents of the Smartphone Overdependence Prevention Program Based on Self-Determination Theory
Phase Session ns Objects Contents BPN Activities
Making 1st Understanding meanings and •Orientation R, A •Large group activity
  relation- purposes of the program, •Making relationships - Divide group by type
  ships and establishing intimacy and A, C •Self introduction in group
trust among participants. - Make group rules.
C, R •Sharing and encouraging
Motivation 2nd Understanding my behaviour •Understanding my personality A, C, R •Summing up last session and icebreaking
  and rein- pattern and identifying type. A •Understand my personality type
  forcement strengths and weakness and •Discovering and enhancing A •My Smart phone chronicle
discovering strengths. strengths. - Check my usage pattern of smartphone
C •Enhance strengths.
C, R •Sharing and encouraging
3rd Understanding the correct •Identifying advantages and A, C, R •Summing up last session and icebreaking
usage of smartphones and disadvantages of smartphone A, C •Discussing and presenting advantages and
identifying advantages and •Understanding the correct disadvantages of smartphone
disadvantages. usage of smartphone. C •Smartphone literacy
A, C, R •Planning and making promotional posters
for correct use of smartphones by Group
C, R •Sharing and encouraging
Plan 4th Exploring and practicing •Looking at myself using A, C, R •Summing up last session and icebreaking
  execution alternative activity for correct smartphone A  •Look at myself using smartphone,
usage of smartphone. •Exploring alternative behaviour C •Identify functional or dysfunctional usage
of smart phone and making pattern of smartphone and control the
action plan. pattern.
C •Explore and plan alternative activity.
C, R •Sharing and encouraging
5th Checking and modifying •Checking implementation A, C, R •Summing up last session and icebreaking
alternative activity for correct alternative behaviour A •Check alternative activity implementation.
usage of smartphone. •Reinforcing alternative activity. - Recognition of success and barriers factors.
C •Reinforce alternative activity
- Looking for ways to strengthen alternative
activities through game activities.
C, R •Sharing and encouraging
6th Make and implement strategy •Design my future A, C, R •Summing up last session and icebreaking
for smart daily life. •Prioritizing my daily life A •Design my future
•DIY (do it yourself) planning A •Prioritize my daily life
C •Determine important things using priority
and make action plans.
C, R •Sharing and encouraging
Assesment 7th Check and reassess myself. •Discovering changes in my life. A, C, R •Summing up last session and icebreaking
  and •Reconstruction of smartphone C • Discover changes in my life.
  wrapping usage.   - Sharing control experience-commendation
  up and encouragement
A •Reconstruction of smartphone usage
C, R •Sharing and encouraging
8th Conform determination for •Future determination A, C, R •Summing up last session and icebreaking
correct usage of smartphone •Wrapping up the program. A, C, R •Promise to others by declaring their
and implement plan. willingness to practice in the future.
A, C •Promise to myself by writing a letter to me
of my future will to practice.
R •Wrap up program and smart awards.

BPN=Basic psychological needs; A=Autonomy; C=Competence; R=Relatedness.

Table 2.
Homogeneity Test of Characteristics of Subjects & Measured Variables (N=64)
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

Cont.=Control group; Exp.=Experimental group; M=Mean; SD=Standard deviation.

Fisher's exact test,

†† multiple response.

Table 3.
Effects of the Smartphone Overdependence Prevention Program (N=64
Variable Group T0
T1
T2
T3
Source F p
M±SD M±SD M±SD M±SD
Smartphone Exp. (n=29) 22.17±5.20 19.66±4.54 18.52±4.97 18.31±4.30 G 0.42 .518
overdependence Cont. (n=35) 21.20±3.94 20.54±4.65 20.14±4.58 19.31±4.30 T 12.60 <.001
G*T 2.43 .076
Self-control failure Exp. (n=29) 8.07±2.10 6.90±2.23 6.17±1.93 6.24±1.79 G 0.38 .540
Cont. (n=35) 7.91±1.58 6.97±1.87 6.86±1.63 6.54±1.67 T 20.00 <.001
G*T 1.21 .306
Salience Exp. (n=29) 6.97±2.03 5.86±1.62 5.62±1.82 5.48±1.57 G 0.60 .441
Cont. (n=35) 6.57±1.46 6.23±1.55 6.26±1.92 5.97±1.69 T 10.26 <.001
G*T 2.64 .059
Serious consequences Exp. (n=29) 7.14±2.31 6.90±1.99 6.72±2.10 6.59±2.21 G 0.08 .780
Cont. (n=35) 6.71±2.31 7.34±1.95 6.97±1.81 6.80±2.08 T 1.06 .357
G*T 1.20 .308
Basic psychological needs Exp. (n=29) 84.72±5.98 87.48±7.64 86.52±7.79 85.52±7.73 G 1.73 .193
Cont. (n=35) 83.91±9.35 82.14±8.91 83.31±9.70 85.23±8.48 T 0.54 .657
G*T 3.90 .010
Autonomy Exp. (n=29) 28.79±3.09 29.66±3.77 29.45±3.34 29.41±3.60 G 3.41 .070
Cont. (n=35) 27.77±4.41 27.11±3.92 28.09±4.37 28.26±4.01 T 0.84 .472
G*T 1.35 .260
Competence Exp. (n=29) 26.45±3.18 27.83±3.07 27.07±3.75 26.55±3.22 G 1.66 .202
Cont. (n=35) 26.23±3.34 25.94±3.53 25.49±3.95 26.23±4.03 T 1.25 .295
G*T 2.93 .035
Relatedness Exp. (n=29) 29.48±3.33 30.00±3.65 30.00±3.26 29.55±3.05 G 0.22 .883
Cont. (n=35) 29.91±3.64 29.09±3.90 29.74±4.11 30.74±3.24 T 0.95 .408
G*T 2.89 .045
Self-regulatory ability Exp. (n=29) 65.03±9.17 70.55±11.24 68.52±13.09 68.10±10.72 G 0.17 .682
Cont. (n=35) 66.31±9.09 67.11±9.72 66.20±9.62 68.77±9.16 T 4.76 .003
G*T 3.11 .028
Adaptation to college life Exp. (n=29) 89.55±10.46 89.31±13.37 89.24±12.74 91.97±12.45 G 0.08 .785
Cont. (n=35) 89.89±11.94 86.71±11.25 88.71±11.24 91.86±11.58 T 4.31 .008
G*T 0.66 .562
Stress index Exp. (n=29) 2.66±1.26 2.79±0.90 3.14±1.06 3.03±1.30 G 0.00 .993
Cont. (n=35) 2.57±1.27 2.91±1.63 3.03±1.15 3.11±1.45 T 2.53 .059
G*T 0.17 .916

Cont.=Control group; Exp.=Experimental group; G=Group; M=Mean; SD=Standard deviation; T=Time; T0=Pretest; T1=Posttest; T2=1 month Follow up test after T1 test; T3=3 month Follow up test after T1 test.

TOOLS
Similar articles