Literature DB >> 33510653

The Relationship Between Behavioral Inhibition and Behavioral Activation Systems, Impulsiveness, and Internet Gaming Disorder Among Students of Different Ages.

Hui Xiang1, Xiaolin Tian1, Yu Zhou1, Jieyu Chen1, Marc N Potenza2,3,4, Qun Zhang5.   

Abstract

Background and Aims: Internet Gaming Disorder (IGD), which is an underlying symptom classified as a behavioral addiction disorder, has many related social problems that have garnered the bulk of attention in recent research. However, its psychological/behavioral mechanism is still unclear. The purpose of the current study was to explore the relationship between IGD and impulsivity which is regulated by behavioral inhibition and activation among different age groups.
Methods: A total of 1,525 students completed Young's Internet Addiction Test (IAT), Online Game Addiction Questionnaire, the Behavioral Inhibition System/Behavioral Activation System (BIS/BAS) scales, and the Barratt Impulsiveness Scale-11 (BIS-11).
Results: (1) The prevalence of IGD in different ages students was 10.3%. (2) BIS, BAS-Fun seeking (BAS-F), and BIS-11 scores indicated that there were significant differences between IGD and non-IGD individuals. (3) BIS showed significant differences in different grades (i.e., between undergraduates and middle school students with IGD; F = 3.10, p < 0.05). (4) The IAT scores demonstrated a significant positive correlation with BIS scores (r = 0.375, p < 0.05) among undergraduates with IGD; IAT scores of high school students with IGD were negatively correlated with BAS-Reward (BAS-R) (r = -0.28, p < 0.05).5)BIS and BIS-11 together could explain 14.9% variance of IGD among the college group; BAS-R and BAS-F together could explain 16.7% variance of IGD among the high school group (p < 0.05). Conclusions: The relationships between IGD and BIS, BAS-F, BAS-D, BIS-11 scores differed due to the age group of individuals tested.
Copyright © 2021 Xiang, Tian, Zhou, Chen, Potenza and Zhang.

Entities:  

Keywords:  BAS; BIS; different grades; impulsivity; students with IGD

Year:  2021        PMID: 33510653      PMCID: PMC7835792          DOI: 10.3389/fpsyt.2020.560142

Source DB:  PubMed          Journal:  Front Psychiatry        ISSN: 1664-0640            Impact factor:   4.157


  13 in total

1.  Impulsivity in internet addiction: a comparison with pathological gambling.

Authors:  Hae Woo Lee; Jung-Seok Choi; Young-Chul Shin; Jun-Young Lee; Hee Yeon Jung; Jun Soo Kwon
Journal:  Cyberpsychol Behav Soc Netw       Date:  2012-06-04

2.  Reward drive and rash impulsiveness as dimensions of impulsivity: implications for substance misuse.

Authors:  Sharon Dawe; Matthew J Gullo; Natalie J Loxton
Journal:  Addict Behav       Date:  2004-09       Impact factor: 3.913

3.  Behavioral Inhibition System activity is associated with increased amygdala and hippocampal gray matter volume: A voxel-based morphometry study.

Authors:  A Barrós-Loscertales; V Meseguer; A Sanjuán; V Belloch; M A Parcet; R Torrubia; C Avila
Journal:  Neuroimage       Date:  2006-09-18       Impact factor: 6.556

4.  Striatum gray matter reduction in males with an overactive behavioral activation system.

Authors:  A Barrós-Loscertales; V Meseguer; A Sanjuán; V Belloch; M A Parcet; R Torrubia; C Avila
Journal:  Eur J Neurosci       Date:  2006-10-16       Impact factor: 3.386

5.  The bidirectional interactions between addiction, behaviour approach and behaviour inhibition systems among adolescents in a prospective study.

Authors:  Ju-Yu Yen; Yen Cheng-Fang; Cheng-Sheng Chen; Yi-Hsin Chang; Yi-Chun Yeh; Chih-Hung Ko
Journal:  Psychiatry Res       Date:  2012-04-24       Impact factor: 3.222

6.  Gray's model of personality and addiction.

Authors:  Ingmar H A Franken; Peter Muris; Irina Georgieva
Journal:  Addict Behav       Date:  2005-06-16       Impact factor: 3.913

7.  Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users.

Authors:  Jie Tang; Yizhen Yu; Yukai Du; Ying Ma; Dongying Zhang; Jiaji Wang
Journal:  Addict Behav       Date:  2013-12-18       Impact factor: 3.913

8.  Impaired inhibitory control in 'internet addiction disorder': a functional magnetic resonance imaging study.

Authors:  Guangheng Dong; Elise E Devito; Xiaoxia Du; Zhuoya Cui
Journal:  Psychiatry Res       Date:  2012-08-12       Impact factor: 3.222

9.  Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control.

Authors:  Yejin Kim; Jo-Eun Jeong; Hyun Cho; Dong-Jin Jung; Minjung Kwak; Mi Jung Rho; Hwanjo Yu; Dai-Jin Kim; In Young Choi
Journal:  PLoS One       Date:  2016-08-17       Impact factor: 3.240

10.  Prevalence and factors of addictive Internet use among adolescents in Wuhan, China: interactions of parental relationship with age and hyperactivity-impulsivity.

Authors:  Xianhua Wu; Xinguang Chen; Juan Han; Heng Meng; Jianghong Luo; Liesl Nydegger; Hanrong Wu
Journal:  PLoS One       Date:  2013-04-15       Impact factor: 3.240

View more
  2 in total

1.  A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use.

Authors:  Lingfeng Gao; Wan Zhao; Xiaowei Chu; Haide Chen; Weijian Li
Journal:  Front Psychiatry       Date:  2022-04-01       Impact factor: 5.435

2.  Digital competence as a protective factor against gaming addiction in children and adolescents: A cross-sectional study in Hong Kong.

Authors:  Winnie W Y Tso; Frank Reichert; Nancy Law; King Wa Fu; Jimmy de la Torre; Nirmala Rao; Lok Kan Leung; Yu-Liang Wang; Wilfred H S Wong; Patrick Ip
Journal:  Lancet Reg Health West Pac       Date:  2022-02-02
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.