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The Mediating Effects of Loneliness on the Relationship between Smartphone Addiction and Dependent Personality Trait in Adults

Korean J Health Promot > Volume 16(4); 2016 > Article
Ok: The Mediating Effects of Loneliness on the Relationship between Smartphone Addiction and Dependent Personality Trait in Adults

요약

Background

As the number of smartphone users is increasing, smartphone addiction is a recent concern. The purpose of the present study was to examine the mediating effect of loneliness on the relationship between smartphone addiction and dependent/ avoidant personality trait in Adults.

Methods

A total of 550 adults (male 116, female 434) were selected and rated smartphone addiction scale, dependent and avoidant personality trait scales, and loneliness scale. Pearson correlation coefficients, Structural Equation Model Analysis and Sobel test using SPSS version 21.0 (IBM, New York, NY, USA) and AMOS version 21.0 (IBM, New York, NY, USA) were conducted.

Results

Dependent and avoidant personality significantly were related smartphone addiction and loneliness. Finding in structural equation modeling indicated that the loneliness partially mediated the relationship between dependent personality and smartphone addiction, but did not mediated the relationship between avoidant personality and smartphone addiction.

Conclusions

This study confirmed partial mediation effect of loneliness on the relationship between smart-phone addiction and dependent personality. This finding suggests that future intervention for smartphone addiction should focus on reducing of loneliness and proper coping with loneliness.

Figure 1.
Research model.
kjhp-16-260f1.jpg
Figure 2.
Confirmatory Factor Analysis results of measurement model in dependent personality model.
kjhp-16-260f2.jpg
Figure 3.
Research model and standardized factor loading values. Model fit analysis by SEM; df=51, χ2=198.83, RMSEA=0.073, TLI=0.936, CFI=0.091.
kjhp-16-260f3.jpg
Table 1.
Demographic characteristics of participants (n=550)
Characteristics   Values
Gender Male 116 (21.1)
  Female 434 (78.9)
Age Less than 20 1 (0.2)
  20–29 123 (22.4)
  30–39 176 (32.0)
  40–49 199 (36.2)
  50–59 47 (8.5)
  Over than 60 4 (0.7)
Employment Employed 411 (74.7)
  Not Employed 139 (25.3)

Values are presented as number (%).

Table 2.
Comparison fit indices between research model and modified model in dependent personality model
  χ2 df TLI CFI RMSEA (90% CI)
Research model 2656.64 699 0.754 0.768 0.071 (0.069–0.074)
Modified model 198.83 51 0.936 0.951 0.073 (0.062–0.083)

Abbreviations: TLI, tucker-lewis index; CFI, comparative fit index; RMSEA, root mean square error of approximation; CI, confidence interval.

Table 3.
Path coefficients of the final model in dependent personality model
Path Non-standardized Standard Standardized P
coefficients error coefficients
Dependent personality → smartphone addiction 0.33 0.06 0.31 <0.001
Dependent personality → loneliness 0.59 0.09 0.37 <0.001
Loneliness → smartphone addiction 0.08 0.04 0.12 <0.05
Table 4.
Direct effect, indirect effect and total effect of the final model in dependent personality model
Independent variable Dependent variable Direct effect Indirect effect Total effect
Dependent personality Loneliness 0.37 0.37
Smartphone addiction 0.31 0.05 0.36
Loneliness Smartphone addiction 0.12 0.12
Table 5.
Mediating effects verification results of the final model in dependent personality model
Path Z P
Dependent personality → loneliness → smartphone addiction 2.26 <0.05

References

1. Chen BX. Always on: how the iPhone unolcked the anything-anytime-anywhere future-and locke us in. Boston: Da Capo Press; 2011.
2. National Information Society Agency. National information white paper. Seoul: National Information Society Agency; 2015.
3. National Information Society Agency. The survey on internet overdependence. Seoul: National Information Society Agency; 2015.
4. Chang MS, Park GP, Jung SH, Woo SW. The relationship among dependent and avoidant personality trait, psychological trait and addiction. The Korean J East West Science 2011;14(1):1-19.
5. Choi JC. Lee JY. Jang JY. The mediating effects of emotional regulation on the relationship between cellular phone addictive use and personality trait in adolescents. Asian J Education 2014;15(2):323-45.
6. Choi SW, Kim DJ, Choi JS, Ahn HJ, Choi EJ Song WJ, et al. Comparison of risk and protective factors associated with smartphone addiction and internet addiction. J Behav Addict 2015;4(4):308-14.
crossref pmid pmc
7. Kim DI, Jung YJ. Lee YH. Delphi study on concepts and components of smart media addiction. Asian J Education 2013;14(4):49-71.
8. Kim HJ, Kim JH, Jung SH. Predictors of smartphone addiction and behavioral patterns. J Cybercommunication Academic Society 2012;29(4):55-93.
9. Kim Y, Jeong JE, Cho H, Jung DJ, Kwak MJ, Pho MJ, et al. Personality factors predicting smartphone addiction predisposition: behavioral inhibition and activation systems impulsivity, and self-control. PloS One 2016;11(8):): e0159788..
crossref
10. Lee J. An addiction-prone personality: common personality characteristics invarious addictive and compulsive behaviors. Korean J Health Psychology 2006;11(3):459-532.
11. Frangos CC, Fragkos KC. Psychologic predictors and epidemiology of internet addiction among university students in greece. European Psychiatry 2011;26(1):40-54.
crossref
12. Jeon HS, Jang O. A study on the influence of depression and stress on smartphone addiction among university students: focused on moderating effect of gender. Korean J Youth Studies 2014;21(8):103-129.
13. Woo RN. Exploration of risk factors and protective factors in addictive mobile phone use [dissertation]. Jinju: Kyungsang University; 2009. Korean..
14. Kuss DJ, Griffiths MD. Online social networking and addiction–a review of the psychological literature. Int J Environ Res Public Health 2011;8(9):3528-52.
crossref pmid pmc
15. Rokach A. Loneliness updated: an introduction. J Psychol 2012;146(1–2):1-6.
crossref pmid
16. Byun HS, Kweon SY. The effect of elementary school students'loneliness on school life adaptation: the mediating effect of smartphone addiction. J Child Education 2014;23(4):303-17.
17. Yuh J. The relationship between loneliness and smartphone addiction symptoms among middle school students: testing the mediating role of self-esteem. Korea Youth Research Association 2016;23(1):129-52.
crossref
18. Jang SH, Park YJ. The relations among teenagers'mental health, self-control, and self-esteem according to their mobile phone addiction. J Korean Education Forum 2009;8(3):35-41.
19. Lim YS, Lee YJ, Han SJ. Research on factors affecting the smartphone addiction of college students based on the GIA. J Korea Academia-Industrial Cooperation Society 2016;17(5):56-66.
crossref
20. Shin HK, Lee MS, Kim HK. An empirical study on mobile usage behavior-focusing on smartphone usage addiction. Infor-matization Policy 2011;18(3):50-68.
21. Seo JS, Hwang ST. Development and validating of the Korean personality disorders test. Korean J Clin Psychol 2006;25(1):273-88.
22. Noh EJ, Hwang ST, Ku HM, Lee SH. Reliability and validity of dependent and avoidant subscales of the diagnostic test for personality disorders. Korean J Clinical Psychology 2008;27(1):311-32.
crossref
23. National Information Society Agency. Development of korean smartphone addiction proneness scale for youth and adults. Seoul: National Information Society Agency; 2011.
24. Russel D, Peplau LA, Cutrona CE. The received UCLA loneliness scale: concurrent and discriminant validity evidence. J Pers Soc Psychol 1980;39(3):472-88.
pmid
25. Kim KH, Kim JH. Korea UCLA Loneliness Scale. J Student Guidance 1989;16:13-30.
26. Russell DW, Kahn JH, Spoth R, Altmaier EM. Analyzing data from experimental studies: a latent variable structural equation modeling approach. J Couns Psychol 1998;45(1):18-29.
crossref
27. Hong S. The criteria for selecting appropriate fit indices in structural equation modeling and their rationales. Korean J Clin Psychol 2000;19(1):161-77.
28. An DY, Lee HJ. A preliminary study on the development of group therapy program for managing loneliness. Cognitive Behavior Therapy in Korea 2011;11(1):1-15.
29. Aljomaa SS, QuDah MFA, Albursan IS, Bakhiet SF, Abduljab-bar AS. Smartphone addiction among university students in the light of some variables. Comput Human Behav 2016;61:155-64.
crossref
30. Lee JH, Leem JM, Son HB, Kwak HW, Chang MS. Development and validating of a smartphone addiction scale based on behavioral addiciton criteria. Korean J Counseling and Psychotherapy 2016;28(2):425-43.


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