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Li L, Liu L, Niu Z, Zhong H, Mei S, Griffiths MD. Gender differences and left-behind experiences in the relationship between gaming disorder, rumination and sleep quality among a sample of Chinese university students during the late stage of the COVID-19 pandemic. Front Psychiatry 2023; 14:1108016. [PMID: 37215671 PMCID: PMC10196354 DOI: 10.3389/fpsyt.2023.1108016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 04/05/2023] [Indexed: 05/24/2023] Open
Abstract
Background and aims Studies have shown that gaming disorder (GD) is associated with rumination and poor sleep quality. However, the reciprocal relationship between GD, rumination and sleep quality is unclear. Moreover, the differences between gender and between left-behind experiences in the aforementioned relationship remain unknown. Therefore, the present study examined gender differences and left-behind experiences in the relationship between GD, rumination, and sleep quality among a sample of Chinese university students during the late stage of COVID-19 pandemic using a network analysis approach. Methods A cross-sectional online survey of 1,872 Chinese university students was conducted comprising demographic information (age, gender, and left-behind experience), gaming experience, gaming frequency, Gaming Disorder Test (GDT), Short Version of Rumination Response Scale (RRS), and Pittsburgh Sleep Quality Index (PSQI). Results Among Chinese university students, the prevalence of (i) GD was 3.5% and (ii) sleep disturbance was 14%. GD had positive and weak connection with rumination and sleep quality in the domain-level relational network. The network structures and global strengths both showed no significant differences between gender and between left-behind experiences. The nodes gd3 ("continuation or escalation of gaming") and gd4 ("gaming problems") had the strongest edge in the network. Conclusion The results suggest reciprocal relationships between GD, rumination, and sleep quality. Gender and left-behind experiences did not influence the reciprocal relationship between GD, rumination, and sleep quality during the late stage of COVID-19 pandemic. Using network analysis, the findings provide novel insights that rumination and sleep quality may have interacted with GD among Chinese students during the late stage of COVID-19 pandemic. Reducing or eliminating negative rumination may decrease GD and improve sleep quality. Moreover, good sleep quality contributes to positive rumination which may decrease the risk of GD among Chinese university students.
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Affiliation(s)
- Li Li
- School of Humanities and Social Sciences, Gannan Medical University, Ganzhou, China
| | - Ligang Liu
- School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou, China
| | - Zhimin Niu
- School of Humanities and Social Sciences, Gannan Medical University, Ganzhou, China
| | - Huahua Zhong
- School of Humanities and Social Sciences, Gannan Medical University, Ganzhou, China
| | - Songli Mei
- School of Public Health, Jilin University, Changchun, China
| | - Mark D. Griffiths
- International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, United Kingdom
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Gauld C, Lopez R, Morin C, Geoffroy PA, Maquet J, Desvergnes P, McGonigal A, Dauvilliers Y, Philip P, Dumas G, Micoulaud-Franchi JA. Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD-3. J Sleep Res 2021; 31:e13435. [PMID: 34269498 DOI: 10.1111/jsr.13435] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 06/08/2021] [Accepted: 06/24/2021] [Indexed: 01/04/2023]
Abstract
The third edition of the International Classification of Sleep Disorders (ICSD-3) is the authoritative clinical text for the diagnosis of sleep disorders. An important issue of sleep nosology is to better understand the relationship between symptoms found in conventional diagnostic manuals and to compare classifications. Nevertheless, to our knowledge, there is no specific exhaustive work on the general structure of the networks of symptoms of sleep disorders as described in diagnostic manuals. The general aim of the present study was to use symptom network analysis to explore the diagnostic criteria in the ICSD-3 manual. The ICSD-3 diagnostic criteria related to clinical manifestations were systematically identified, and the units of analysis (symptoms) were labelled from these clinical manifestation diagnostic criteria using three rules ("Conservation", "Splitting", "Lumping"). A total of 37 of the 43 main sleep disorders with 160 units of analysis from 114 clinical manifestations in the ICSD-3 were analysed. A symptom network representing all individual ICSD-3 criteria and connections between them was constructed graphically (network estimation), quantified with classical metrics (network inference with global and local measures) and tested for robustness. The global measure of the sleep symptoms network shows that it can be considered as a small world, suggesting a strong interconnection between symptoms in the ICSD-3. Local measures show the central role of three kinds of bridge sleep symptoms: daytime sleepiness, insomnia, and behaviour during sleep symptoms. Such a symptom network analysis of the ICSD-3 structure could provide a framework for better systematising and organising symptomatology in sleep medicine.
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Affiliation(s)
- Christophe Gauld
- Department of Psychiatry, University of Grenoble, Grenoble, France.,UMR CNRS 8590 IHPST, Sorbonne University, Paris 1, France
| | - Régis Lopez
- Department of Neurology, Sleep Disorders Center, Gui-de-Chauliac Hospital, CHU Montpellier, Montpellier, France.,Inserm, Université Montpellier 1, Montpellier, U1061, France
| | - Charles Morin
- École de psychologie, Université Laval, Québec City, Québec, Canada.,Centre d'étude des troubles du sommeil, Institut Universitaire en Santé Mentale de Québec, Quebec City, Canada
| | - Pierre A Geoffroy
- Département de Psychiatrie et d'Addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hospital Bichat - Claude Bernard, Paris, France.,GHU Paris - Psychiatry and Neurosciences, Paris, France.,NeuroDiderot, Université de Paris, Paris, Inserm, France.,CNRS UPR 3212, Institute for Cellular and Integrative Neurosciences, Strasbourg, France
| | - Julien Maquet
- Service de Médecine Interne, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Centre d'investigation clinique 1436, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Pierre Desvergnes
- University Sleep Clinic, Services of Functional Exploration of the Nervous System, University Hospital of Bordeaux, Bordeaux, France
| | - Aileen McGonigal
- Epileptology Department, APHM, INSERM, INS, Inst Neurosci Syst, Timone Hospital, Aix Marseille University, Marseille, France
| | - Yves Dauvilliers
- Department of Neurology, Sleep Disorders Center, Gui-de-Chauliac Hospital, CHU Montpellier, Montpellier, France.,Inserm, Université Montpellier 1, Montpellier, U1061, France
| | - Pierre Philip
- University Sleep Clinic, Services of Functional Exploration of the Nervous System, University Hospital of Bordeaux, Bordeaux, France.,USR CNRS 3413 SANPSY, University Hospital of Bordeaux, Bordeaux, France
| | - Guillaume Dumas
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, Florida, USA.,Centre de recherche du Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
| | - Jean-Arthur Micoulaud-Franchi
- University Sleep Clinic, Services of Functional Exploration of the Nervous System, University Hospital of Bordeaux, Bordeaux, France.,USR CNRS 3413 SANPSY, University Hospital of Bordeaux, Bordeaux, France
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Dias SF, Marques DR. "Life" beyond classical test theory: some considerations on using complementary psychometric approaches in sleep medicine. Sleep Med 2020; 79:225-226. [PMID: 33248900 DOI: 10.1016/j.sleep.2020.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 11/07/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Sofia Fontoura Dias
- University of Aveiro, Department of Education and Psychology, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Daniel Ruivo Marques
- University of Aveiro, Department of Education and Psychology, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; CINEICC - Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Portugal.
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Robinaugh DJ, Hoekstra RHA, Toner ER, Borsboom D. The network approach to psychopathology: a review of the literature 2008-2018 and an agenda for future research. Psychol Med 2020; 50:353-366. [PMID: 31875792 PMCID: PMC7334828 DOI: 10.1017/s0033291719003404] [Citation(s) in RCA: 265] [Impact Index Per Article: 66.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
The network approach to psychopathology posits that mental disorders can be conceptualized and studied as causal systems of mutually reinforcing symptoms. This approach, first posited in 2008, has grown substantially over the past decade and is now a full-fledged area of psychiatric research. In this article, we provide an overview and critical analysis of 363 articles produced in the first decade of this research program, with a focus on key theoretical, methodological, and empirical contributions. In addition, we turn our attention to the next decade of the network approach and propose critical avenues for future research in each of these domains. We argue that this program of research will be best served by working toward two overarching aims: (a) the identification of robust empirical phenomena and (b) the development of formal theories that can explain those phenomena. We recommend specific steps forward within this broad framework and argue that these steps are necessary if the network approach is to develop into a progressive program of research capable of producing a cumulative body of knowledge about how specific mental disorders operate as causal systems.
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Affiliation(s)
- Donald J. Robinaugh
- Massachusetts General Hospital, Department of Psychiatry
- Harvard Medical School
| | | | - Emma R. Toner
- Massachusetts General Hospital, Department of Psychiatry
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