The Effect of Behavior Inhibition System on Smart-Phone Addiction : The Mediation Roll of Depression

Dong-Jin Jung; Hyun Cho; Jae-Woo Park; Min-Jung Kwak; Dai-Jin Kim

doi:10.4306/jknpa.2016.55.2.97

Journal List > J Korean Neuropsychiatr Assoc > v.55(2) > 1017838

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Jung, Cho, Park, Kwak, and Kim: The Effect of Behavior Inhibition System on Smart-Phone Addiction : The Mediation Roll of Depression

Original Article

Journal of Korean Neuropsychiatric Association 2016; 55(2): 97-102.

Published online: 31 May 2016

DOI: https://doi.org/10.4306/jknpa.2016.55.2.97

The Effect of Behavior Inhibition System on Smart-Phone Addiction : The Mediation Roll of Depression

Dong-Jin Jung, MS¹, Hyun Cho, MS¹, Jae-Woo Park, PhD², Min-Jung Kwak, MS¹, Dai-Jin Kim, MD, PhD¹

¹Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.

²Korea Counseling Graduate University, Seoul, Korea.

Address for correspondence: Dai-Jin Kim, MD, PhD. Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea, College of Medicine, 222 Banpo-daero, Seocho-gu, Seoul 06591, Korea. Tel +82-2-2258-7586, Fax +82-2-594-3870, kdj922@catholic.ac.kr

Received 19 December 2015 Revised 26 April 2016 Accepted 27 April 2016

Abstract

Objectives

This study was conducted to examine the mediating effect of depression on the relationship between behavior inhibition system (BIS) and smart-phone addiction (SA) in Korea.

Methods

An online survey was conducted including 5003 adult participants. Except for people without a smartphone, participants consisted of 2573 men and 2281 women, including a 20s group, 1611, 30s group, 2133, and 40s group, 1110. For evaluation of psychiatric symptoms and personal characteristics, participants were asked to complete self-reports, including BIS scale, depression scale of SCL-90-R (Dep), and SA scale.

Results

The BIS predicted both variance of depression and SA (BIS→Dep : β=0.374, p<0.001 ; BIS→SA : β=0.268, p<0.001), and depression predicted SA (β=0.386, p<0.001). The result of hierarchial regression analysis showed that depression mediated the relationship between behavior inhibition system and SA. Thus the effects between behavior inhibition system and smartphone decreased (β=0.268→0.144).

Conclusion

Depression mediates the influence of behavior inhibition system on SA. This result indicates that biological traits and negative emotions, such as depression, have an important influence on behavioral addiction.

Keywords: Behavior inhibition system, Smart-phone addiction, Depression

Figures and Tables

Table 1

Demographic profiles of the subjects (n=4854)

SA : Smart-phone addiction Group

Table 2

Descriptive statistics and correlation of variances

** : p<0.01. BIS : Behavior inhibition system, Dep : Depression, SA : Smart-phone addiction, SD : Standard deviation

Table 3

Association of smartphone addiction with BIS and Dep

*** : p<0.001. BIS : Behavior inhibition system, Dep : Depression

Table 4

Association of smartphone addiction with BIS and Dep

*** : p<0.001. BIS : Behavior inhibition system, Dep : Depression

Notes

^{Conflicts of Interest} The authors have no financial conflicts of interest.

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