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

BackgroundIt is of great concern to society that individuals can be vulnerable to problematic mobile phone use (PMPU). However, there are a few studies in the field evaluating associations between behavioral inhibition/activation systems (BIS/BAS) and PMPU, and the results have been inconsistent. Th...

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Main Authors: Lingfeng Gao, Wan Zhao, Xiaowei Chu, Haide Chen, Weijian Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.832933/full
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author Lingfeng Gao
Lingfeng Gao
Wan Zhao
Xiaowei Chu
Haide Chen
Weijian Li
author_facet Lingfeng Gao
Lingfeng Gao
Wan Zhao
Xiaowei Chu
Haide Chen
Weijian Li
author_sort Lingfeng Gao
collection DOAJ
description BackgroundIt is of great concern to society that individuals can be vulnerable to problematic mobile phone use (PMPU). However, there are a few studies in the field evaluating associations between behavioral inhibition/activation systems (BIS/BAS) and PMPU, and the results have been inconsistent. This study aimed to explore the relationships between BIS/BAS and PMPU by network analysis.MethodsA total of 891 young adults participated in the study. BIS/BAS and PMPU were assessed by using the behavioral inhibition and activation systems scale and smartphone application-based addiction scale, respectively. The structure of the BIS/BAS-PMPU network was characterized using “strength,” “closeness” and “betweenness” as centrality indices. Edge-weight accuracy and centrality stability were tested using a bootstrap procedure.ResultsThe network analysis showed that “mood modification,” “tolerance” and “withdrawal symptoms” had high centrality. In addition, the positive connection between BIS and “mood modification” or “tolerance” and between BAS-fun seeking and “mood modification” or “conflict” were also shown in the BIS/BAS-PMPU network.ConclusionThese findings shed light on the central and bridge components between the BIS/BAS and PMPU communities, providing new evidence relevant to potential mechanisms that account for how high-BIS or high-BAS individuals develop PMPU, and inspiring component-based PMPU prevention or interventions.
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spelling doaj.art-3488d46a6eae4f2ab8649542c9cfbcfb2022-12-22T02:59:06ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-04-011310.3389/fpsyt.2022.832933832933A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone UseLingfeng Gao0Lingfeng Gao1Wan Zhao2Xiaowei Chu3Haide Chen4Weijian Li5Institute of Psychological and Brain Sciences, Zhejiang Normal University, Jinhua, ChinaSchool of Psychology, Central China Normal University, Wuhan, ChinaInstitute of Psychological and Brain Sciences, Zhejiang Normal University, Jinhua, ChinaInstitute of Psychological and Brain Sciences, Zhejiang Normal University, Jinhua, ChinaInstitute of Psychological and Brain Sciences, Zhejiang Normal University, Jinhua, ChinaInstitute of Psychological and Brain Sciences, Zhejiang Normal University, Jinhua, ChinaBackgroundIt is of great concern to society that individuals can be vulnerable to problematic mobile phone use (PMPU). However, there are a few studies in the field evaluating associations between behavioral inhibition/activation systems (BIS/BAS) and PMPU, and the results have been inconsistent. This study aimed to explore the relationships between BIS/BAS and PMPU by network analysis.MethodsA total of 891 young adults participated in the study. BIS/BAS and PMPU were assessed by using the behavioral inhibition and activation systems scale and smartphone application-based addiction scale, respectively. The structure of the BIS/BAS-PMPU network was characterized using “strength,” “closeness” and “betweenness” as centrality indices. Edge-weight accuracy and centrality stability were tested using a bootstrap procedure.ResultsThe network analysis showed that “mood modification,” “tolerance” and “withdrawal symptoms” had high centrality. In addition, the positive connection between BIS and “mood modification” or “tolerance” and between BAS-fun seeking and “mood modification” or “conflict” were also shown in the BIS/BAS-PMPU network.ConclusionThese findings shed light on the central and bridge components between the BIS/BAS and PMPU communities, providing new evidence relevant to potential mechanisms that account for how high-BIS or high-BAS individuals develop PMPU, and inspiring component-based PMPU prevention or interventions.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.832933/fullbehavioral inhibition systemsbehavioral activation systemsproblematic mobile phone usenetwork analysiscomponents model of addiction
spellingShingle Lingfeng Gao
Lingfeng Gao
Wan Zhao
Xiaowei Chu
Haide Chen
Weijian Li
A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use
Frontiers in Psychiatry
behavioral inhibition systems
behavioral activation systems
problematic mobile phone use
network analysis
components model of addiction
title A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use
title_full A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use
title_fullStr A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use
title_full_unstemmed A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use
title_short A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use
title_sort network analysis of the relationships between behavioral inhibition activation systems and problematic mobile phone use
topic behavioral inhibition systems
behavioral activation systems
problematic mobile phone use
network analysis
components model of addiction
url https://www.frontiersin.org/articles/10.3389/fpsyt.2022.832933/full
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