Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students

BackgroundProblematic smartphone use (PSU) is associated with both anxiety and depression. However, the relationships between components of PSU and symptoms of anxiety or depression have not been investigated. Hence, the aim of this study was to closely examine the relationships between PSU and anxi...

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Main Authors: Zhihua Guo, Tianqi Yang, Rui Qiu, Huake Qiu, Lei Ren, Xufeng Liu, Zheyi Han, Xia Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1097301/full
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author Zhihua Guo
Tianqi Yang
Rui Qiu
Huake Qiu
Lei Ren
Xufeng Liu
Zheyi Han
Xia Zhu
author_facet Zhihua Guo
Tianqi Yang
Rui Qiu
Huake Qiu
Lei Ren
Xufeng Liu
Zheyi Han
Xia Zhu
author_sort Zhihua Guo
collection DOAJ
description BackgroundProblematic smartphone use (PSU) is associated with both anxiety and depression. However, the relationships between components of PSU and symptoms of anxiety or depression have not been investigated. Hence, the aim of this study was to closely examine the relationships between PSU and anxiety and depression to identify the pathological mechanisms underpinning those relationships. A second aim was to identify important bridge nodes to identify potential targets for intervention.MethodsSymptom-level network structures of PSU and anxiety, and PSU and depression were constructed to investigate the connections between the variables and evaluate the bridge expected influence (BEI) of each node. Network analysis using data from 325 Chinese healthy college students was performed.ResultsFive strongest edges appeared within the communities in both the PSU-anxiety and PSU-depression networks. The “Withdrawal” component had more connections with symptoms of anxiety or depression than any other PSU node. In particular, the edges between “Withdrawal” and “Restlessness” and between “Withdrawal” and “Concentration difficulties” were the strongest cross-community edges in the PSU-anxiety network and PSU-depression network, respectively. Furthermore, “Withdrawal” had the highest BEI in the PSU community in both networks.ConclusionsThese findings provide preliminary evidence of the pathological pathways linking PSU with anxiety and depression, with “Withdrawal” linking PSU with both anxiety and depression. Hence, “Withdrawal” may be a potential target for preventing and intervening in cases of anxiety or depression.
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spelling doaj.art-797e203a24ef438baa75faf7a5f9e5182023-04-17T04:49:00ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402023-04-011410.3389/fpsyt.2023.10973011097301Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college studentsZhihua Guo0Tianqi Yang1Rui Qiu2Huake Qiu3Lei Ren4Xufeng Liu5Zheyi Han6Xia Zhu7Department of Military Medical Psychology, Air Force Medical University, Xi'an, ChinaDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, ChinaDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, ChinaDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, ChinaDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, ChinaDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, ChinaDepartment of Gastroenterology, Air Force Medical Center, Air Force Medical University, Beijing, ChinaDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, ChinaBackgroundProblematic smartphone use (PSU) is associated with both anxiety and depression. However, the relationships between components of PSU and symptoms of anxiety or depression have not been investigated. Hence, the aim of this study was to closely examine the relationships between PSU and anxiety and depression to identify the pathological mechanisms underpinning those relationships. A second aim was to identify important bridge nodes to identify potential targets for intervention.MethodsSymptom-level network structures of PSU and anxiety, and PSU and depression were constructed to investigate the connections between the variables and evaluate the bridge expected influence (BEI) of each node. Network analysis using data from 325 Chinese healthy college students was performed.ResultsFive strongest edges appeared within the communities in both the PSU-anxiety and PSU-depression networks. The “Withdrawal” component had more connections with symptoms of anxiety or depression than any other PSU node. In particular, the edges between “Withdrawal” and “Restlessness” and between “Withdrawal” and “Concentration difficulties” were the strongest cross-community edges in the PSU-anxiety network and PSU-depression network, respectively. Furthermore, “Withdrawal” had the highest BEI in the PSU community in both networks.ConclusionsThese findings provide preliminary evidence of the pathological pathways linking PSU with anxiety and depression, with “Withdrawal” linking PSU with both anxiety and depression. Hence, “Withdrawal” may be a potential target for preventing and intervening in cases of anxiety or depression.https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1097301/fullproblematic smartphone useanxietydepressionbridge nodenetwork analysis
spellingShingle Zhihua Guo
Tianqi Yang
Rui Qiu
Huake Qiu
Lei Ren
Xufeng Liu
Zheyi Han
Xia Zhu
Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students
Frontiers in Psychiatry
problematic smartphone use
anxiety
depression
bridge node
network analysis
title Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students
title_full Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students
title_fullStr Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students
title_full_unstemmed Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students
title_short Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students
title_sort network analysis of the relationships between problematic smartphone use and anxiety and depression in a sample of chinese college students
topic problematic smartphone use
anxiety
depression
bridge node
network analysis
url https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1097301/full
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