A Network Structure of Mental Health and Problematic Mobile Phone Use Among Middle School Students

被引:0
作者
Zhou, Mingwan [1 ]
Dong, Xueti [2 ]
Wu, Weige [3 ,4 ]
Li, Yun [4 ,5 ]
机构
[1] Xiamen Med Coll, Xiamen Xianyue Hosp, Xianyue Hosp, Psychol Assessment Ctr,Fujian Psychiat Ctr,Fujian, Xiamen, Peoples R China
[2] Xiamen Med Coll, Xiamen Xianyue Hosp, Xianyue Hosp, Psychol Counseling & Treatment Ctr,Fujian Psychiat, Xiamen, Peoples R China
[3] Xiamen Med Coll, Xiamen Xianyue Hosp, Xianyue Hosp, Fujian Psychiat Ctr,Fujian Psychiat Ctr,Fujian Cli, Xiamen, Peoples R China
[4] Fujian Med Univ, Dept Clin Med, 1,Xueyuan North Rd, Fuzhou 350100, Fujian, Peoples R China
[5] Xiamen Med Coll, Xiamen Xianyue Hosp, Xianyue Hosp, Fujian Psychiat Ctr,Fujian Psychiat Ctr,Fujian Cli, Xiamen, Peoples R China
来源
PSYCHOLOGY RESEARCH AND BEHAVIOR MANAGEMENT | 2024年 / 17卷
关键词
problematic mobile phone use; network analysis; middle school students; mental health; SMARTPHONE USE; DEPRESSION; ADDICTION;
D O I
10.2147/PRBM.S485117
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Objective: Numerous studies have shown that the mental health of middle school students is closely related to problematic mobile phone use. The purpose of this study is to investigate the network structure between the dimensions of the Middle School Students Mental Health Scale and the items of the Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use by using the network analysis, to clarify the core symptoms and bridge symptoms of the network structure, and to provide ideas and methods for intervening in the mental health and problematic mobile phone use of middle school students. Methods: A stratified cluster sampling method was used to select 1637 students from four general middle schools in Xiamen in June 2020 for the survey, and the Middle School Students Mental Health Scale (MSSMHS-60) and the Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) were used. SPSS28.0 was used for descriptive statistical analysis and R (version 4.2.1) for network analysis. Results: 1. The core symptoms of the network of middle school students' mental health and problematic mobile phone use were "spending more time playing with the phone in order to be satisfied", anxiety, and depression; 2. The bridge symptoms of the network of middle school students' mental health and problematic mobile phone use were academic stress, psychological disequilibrium, and "depression without phone". Conclusion: Reducing the time of smartphone use and relieving anxiety and depression can improve the mental health of middle school students and reduce the incidence of problematic mobile phone use; helping middle school students adjust their study pressure and improving their social support level can reduce the severity of problematic mobile phone use.
引用
收藏
页码:3533 / 3542
页数:10
相关论文
共 40 条
  • [1] Network analysis of depression and anxiety symptom relationships in a psychiatric sample
    Beard, C.
    Millner, A. J.
    Forgeard, M. J. C.
    Fried, E. I.
    Hsu, K. J.
    Treadway, M. T.
    Leonard, C. V.
    Kertz, S. J.
    Bjoegvinsson, T.
    [J]. PSYCHOLOGICAL MEDICINE, 2016, 46 (16) : 3359 - 3369
  • [2] Network Analysis: An Integrative Approach to the Structure of Psychopathology
    Borsboom, Denny
    Cramer, Angelique O. J.
    [J]. ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9, 2013, 9 : 91 - 121
  • [3] Common and specific risk factors for comorbidity types of problematic smartphone use in adolescents
    Chang, Wei-Che
    Ko, Huei-Chen
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2023, 142
  • [4] The association between depression and problematic smartphone behaviors through smartphone use in a clinical sample
    Cheng, Ying
    Meng, Jingbo
    [J]. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES, 2021, 3 (03) : 441 - 453
  • [5] China Internet, 2023, J NATL LIB, V32, P13
  • [6] A Tutorial on Regularized Partial Correlation Networks
    Epskamp, Sacha
    Fried, Eiko I.
    [J]. PSYCHOLOGICAL METHODS, 2018, 23 (04) : 617 - 634
  • [7] Estimating psychological networks and their accuracy: A tutorial paper
    Epskamp, Sacha
    Borsboom, Denny
    Fried, Eiko I.
    [J]. BEHAVIOR RESEARCH METHODS, 2018, 50 (01) : 195 - 212
  • [8] qgraph: Network Visualizations of Relationships in Psychometric Data
    Epskamp, Sacha
    Cramer, Angelique O. J.
    Waldorp, Lourens J.
    Schmittmann, Verena D.
    Borsboom, Denny
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2012, 48 (04): : 1 - 18
  • [9] Fuster H, 2017, ALOMA, V35, P23
  • [10] A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use
    Gao, Lingfeng
    Zhao, Wan
    Chu, Xiaowei
    Chen, Haide
    Li, Weijian
    [J]. FRONTIERS IN PSYCHIATRY, 2022, 13