Different Characteristics of Psychological and Sleep Symptoms Across Social Media Addiction and Internet Gaming Disorder in Chinese Adolescents- A Network Analysis
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective Previous research has explored a variety of mental disorders associated with Internet Gaming Disoder (IGD) and Social Media Addiction (SMA). To date, few studies focused on the network characteristics and investigated mood and sleep symptoms across SMA and IGD of adolescence at a group-specific level. This study aims to identify different characteristics of IGD and SMA and further determine the group-specific psychopathology process among adolescents. Methods We conducted a cross-sectional study to recruit a cohort of 7,246 adolescents who were scored passing the cutoff point of Internet Gaming Disorder Scale-Short Form and Bergen Social Media Addiction Scale, as grouped in IGD and SMA, or otherwise into the control group. Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-item, and Pittsburgh Sleep Quality Index were assessed for the current study, and all assessed items were investigated using network analysis. Results Based on the analytical procedure, the participants were divided into three groups, the IGD group (n=789), SMA group (n=713) and control group (n=5,744). The edge weight bootstrapping analysis shows that different groups of networks reach certain accuracy, and the network structures of the three groups are statistically different (pcontrol-IGD=0.004, pcontrol-SMA<0.001, pIGD-SMA<0.001). The core symptom of SMA is “feeling down, depressed, or hopeless”, while IGD is “feeling tired or having little energy”. Conclusion Although IGD and SMA are both subtypes of internet addiction, the psychopathology processes of IGD and SMA are different. When dealing with IGD and SMA, different symptoms should be addressed.
Abstract
Objective Previous research has explored a variety of mental disorders associated with Internet Gaming Disoder (IGD) and Social Media Addiction (SMA). To date, few studies focused on the network characteristics and investigated mood and sleep symptoms across SMA and IGD of adolescence at a group-specific level. This study aims to identify different characteristics of IGD and SMA and further determine the group-specific psychopathology process among adolescents. Methods We conducted a cross-sectional study to recruit a cohort of 7,246 adolescents who were scored passing the cutoff point of Internet Gaming Disorder Scale-Short Form and Bergen Social Media Addiction Scale, as grouped in IGD and SMA, or otherwise into the control group. Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-item, and Pittsburgh Sleep Quality Index were assessed for the current study, and all assessed items were investigated using network analysis. Results Based on the analytical procedure, the participants were divided into three groups, the IGD group (n=789), SMA group (n=713) and control group (n=5,744). The edge weight bootstrapping analysis shows that different groups of networks reach certain accuracy, and the network structures of the three groups are statistically different (pcontrol-IGD=0.004, pcontrol-SMA<0.001, pIGD-SMA<0.001). The core symptom of SMA is “feeling down, depressed, or hopeless”, while IGD is “feeling tired or having little energy”. Conclusion Although IGD and SMA are both subtypes of internet addiction, the psychopathology processes of IGD and SMA are different. When dealing with IGD and SMA, different symptoms should be addressed.
참고문헌 (57)
- Starcevic V, "Does the construct of internet addiction reflect a single entity or a spectrum of disorders?", Clin Neuropsychiatry, 14, pp.5~10 (2017)
- Wölfling K, "Efficacy of short-term treatment of internet and computer game addic tion : a randomized clinical trial", JAMA Psychiatry, 76, pp.1018~1025 (2019)
- American Psychiatric Association, "Diagnostic and statistical manual of mental disorders" (2013), American Psychiatric Association
- Darvesh N, "Exploring the prevalence of gaming disorder and internet gaming disorder : a rapid scoping review", Syst Rev, 9, pp.68~ (2020)
- Liao Z, "Prevalence of internet gaming disorder and its association with personality traits and gaming characteristics among Chinese adolescent gamers", Front Psychiatry, 11, pp.598585~ (2020)
- Andreassen CS, "The relationship between ad dictive use of social media, narcissism, and self-esteem : findings from a large national survey", Addict Behav, 64, pp.287~293 (2017)
- Ryan T, "The uses and abuses of Facebook : a review of Facebook addiction", J Behav Addict, 3, pp.133~148 (2014)
- Saaid SA, "The impact of addiction to Twitter among university students", Lecture notes in electrical engineering, 276, pp.231~236 (2014), Springer
- Bányai F, "Prob lematic social media use : results from a large-scale nationally represen tative adolescent sample", PLoS One, 12, pp.e0169839~ (2017)
- Desai RA, "Video-gaming among high school students : health correlates, gender differences, and problematic gaming", Pediatrics, 126, pp.e1414~e1424 (2010)
- Lo SK, "Physical interpersonal relationships and so cial anxiety among online game players", Cyberpsychol Behav, 8, pp.15~20 (2005)
- Kuss DJ, "Internet gaming addiction : a systematic review of empirical research", Int J Ment Health Addiction, 10, pp.278~296 (2012)
- Nesi J, "Using social media for social comparison and feedback-seeking : gender and popularity moderate associations with depressive symptoms", J Abnorm Child Psychol, 43, pp.1427~1438 (2015)
- Oswald TK, "Psychological impacts of"screen time"and"green time"for children and adolescents : a systematic scoping review", PLoS One, 15, pp.e0237725~ (2020)
- Twenge JM, "Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology", Emotion, 18, pp.765780~ (2018)
- Brand M, "Integrating psy chological and neurobiological considerations regarding the develop ment and maintenance of specific internet-use disorders : an interac tion of person-affect-cognition-execution(I-PACE)model", Neurosci Biobehav Rev, 71, pp.252~266 (2016)
- Montag C, "Is it meaningful to distinguish between generalized and specific internet addiction? Evi dence from a cross-cultural study from Germany, Sweden, Taiwan and China", Asia Pac Psychiatry, 7, pp.20~26 (2015)
- Spilková J, "Predictors of excessive use of social media and excessive online gaming in Czech teenagers", J Behav Addict, 6, pp.611~619 (2017)
- Barabási AL, "The network takeover", Nature Phys, 8, pp.14~16 (2012)
- Tomba E, "Clinimetrics and clinical psychometrics : macro-and micro-analysis", Psychother Psychosom, 81, pp.333~343 (2012)
- Liu S, "Core symptoms and symptom re lationships of problematic internet use across early, middle, and late adolescence : a network analysis", Comput Human Behav, 128, pp.107090~ (2022)
- Li L, "A network analysis approach to the relationship between fear of missing out(FoMO), smartphone addic tion, and social networking site use among a sample of Chinese uni versity students", Comput Human Behav, 128, pp.107086~ (2022)
- Pontes HM, "Measuring DSM-5 internet gaming disor der : development and validation of a short psychometric scale", Com put Human Behav, 45, pp.137~143 (2015)
- Schou Andreassen C, "The relationship between addictive use of social me dia and video games and symptoms of psychiatric disorders : a large scale cross-sectional study", Psychol Addict Behav, 30, pp.252~262 (2016)
- Kroenke K, "The PHQ-9 : validity of a brief de pression severity measure", J Gen Intern Med, 16, pp.606~613 (2001)
- Spitzer RL, "A brief measure for as sessing generalized anxiety disorder : the GAD-7", Arch Intern Med, 166, pp.1092~1097 (2006)
- Buysse DJ, "The Pittsburgh sleep quality index : a new instrument for psychiatric practice and research", Psychiatry Res, 28, pp.193~213 (1989)
- Severo RB, "Development and psychometric validation of internet gaming disorder scale-short-form(IGDS9-SF)in a Brazilian sample", Addict Behav, 103, pp.106191~ (2020)
- Monacis L, "Validation of the internet gaming disorder scale – short-form(IGDS9-SF)in an Italian-speaking sample", J Behav Addict, 5, pp.683~690 (2016)
- Epskamp S, "Estimating psychological networks and their accuracy : a tutorial paper", Behav Res Methods, 50, pp.195212~ (2018)
- Epskamp S, "qgraph : network visualizations of relationships in psychometric data", J Stat Softw, 48, pp.1~18 (2012)
- Beard C, "Network analysis of depression and anxiety symptom relationships in a psychiatric sample", Psychol Med, 46, pp.3359~3369 (2016)
- Wang Y, "Changes in network central ity of psychopathology symptoms between the COVID-19 outbreak and after peak", Mol Psychiatry, 25, pp.3140~3149 (2020)
- Friedman J, "Sparse inverse covariance estima tion with the graphical lasso", Biostatistics, 9, pp.432~441 (2008)
- Opsahl T, "Node centrality in weighted net works : generalizing degree and shortest paths", Soc Netw, 32, pp.245251~ (2010)
- Zhang W, "Demographic character istics, family environment and psychosocial factors affecting internet addiction in Chinese adolescents", J Affect Disord, 315, pp.130~138 (2022)
- Ha JH, "Psychiatric comor bidity assessed in Korean children and adolescents who screen positive for internet addiction", J Clin Psychiatry, 67, pp.821~826 (2006)
- Kim K, "Internet addic tion in Korean adolescents and its relation to depression and suicidal ideation : a questionnaire survey", Int J Nurs Stud, 43, pp.185~192 (2006)
- Cai H, "The association be tween internet addiction and anxiety in nursing students : a network analysis", Front Psychiatry, 12, pp.723355~ (2021)
- Bhandari PM, "Sleep quality, internet addiction and depressive symptoms among un dergraduate students in Nepal", BMC Psychiatry, 17, pp.106~ (2017)
- Espinoza G, "The pervasiveness, connectedness, and intru siveness of social network site use among young adolescents", Cyber psychol Behav Soc Netw, 14, pp.705~709 (2011)
- Pantic I, "Association between online social networking and depression in high school students : behavioral physiology viewpoint", Psychiatr Danub, 24, pp.90~93 (2012)
- Alfano CA, "Sleep prob lems and their relation to cognitive factors, anxiety, and depressive symptoms in children and adolescents", Depress Anxiety, 26, pp.503512~ (2009)
- Becker MW, "Media multitasking is associat ed with symptoms of depression and social anxiety", Cyberpsychol Be hav Soc Netw, 16, pp.132~135 (2013)
- Labrague LJ, "Facebook use and adolescents’ emotional states of depres sion, anxiety, and stress", Health Sci J, 8, pp.80~89 (2014)
- Touitou Y, "Disruption of adolescents’ circadian clock : the vicious circle of media use, exposure to light at night, sleep loss and risk behaviors", J Physiol Paris, 110(4 Pt B), pp.467~479 (2016)
- Elhai JD, "Problematic smartphone use : a conceptual overview and systematic review of relations with anxiety and depression psychopathology", J Affect Disord, 207, pp.251~259 (2017)
- Shochat T, "Sleep patterns, electronic media exposure and daytime sleep-related behaviours among Israeli adolescents", Acta Paediatr, 99, pp.1396~1400 (2010)
- Van den Bulck J, "Television viewing, computer game playing, and in ternet use and self-reported time to bed and time out of bed in second ary-school children", Sleep, 27, pp.101~104 (2004)
- Garmy P, "Sleep and television and computer habits of Swedish school-age children", J Sch Nurs, 28, pp.469~476 (2012)
- Wong HY, "Relationships between severity of internet gaming disorder, severity of problematic social media use, sleep quality and psychological dis tress", Int J Environ Res Public Health, 17, pp.1879~ (2020)
- Leung L, "Predicting internet risks : a longitudinal panel study of gratifi cations-sought, internet addiction symptoms, and social media use among children and adolescents", Health Psychol Behav Med, 2, pp.424~439 (2014)
- Ko CH, "The associations between aggressive behaviors and internet addiction and online activities in ad olescents", J Adolesc Health, 44, pp.598~605 (2009)
- Fossum IN, "The as sociation between use of electronic media in bed before going to sleep and insomnia symptoms, daytime sleepiness, morningness, and chro notype", Behav Sleep Med, 12, pp.343~357 (2014)
- Ho RC, "The associa tion between internet addiction and psychiatric co-morbidity : a meta analysis", BMC Psychiatry, 14, pp.183~ (2014)
- Yen JY, "Associations among resil ience, stress, depression, and internet gaming disorder in young adults", Int J Environ Res Public Health, 16, pp.3181~ (2019)
- Bos FM, "Can we jump from cross-sectional to dynamic interpretations of networks? Implications for the network perspective in psychiatry", Psychother Psychosom, 86, pp.175~177 (2017)