A longitudinal study on the impact of Internet gaming disorder on self-perceived health, academic performance, and social life of first-year college students.


Journal

The American journal on addictions
ISSN: 1521-0391
Titre abrégé: Am J Addict
Pays: England
ID NLM: 9208821

Informations de publication

Date de publication:
07 2023
Historique:
revised: 14 12 2022
received: 04 10 2022
accepted: 03 12 2022
medline: 3 7 2023
pubmed: 17 1 2023
entrez: 16 1 2023
Statut: ppublish

Résumé

Internet gaming disorder (IGD) is associated with health, social, and academic problems but whether these are consequences of the disorder rather than precursors or correlates is unclear. We aimed to evaluate whether IGD in the 1st year of university predicts health, academic and social problems 1 year later, controlling for baseline health, academic and social problems, demographics, and mental health symptoms. In a prospective cohort study, 1741 university students completed both a baseline online survey in their 1st year and a follow-up survey 1 year later. Log-binomial models examined the strength of prospective associations between baseline predictor variables (IGD, baseline health, academic and social problems, sex, age, and mental health symptoms) and occurrence of health, academic and social problems at follow-up. When extensively adjusted by the corresponding outcome at baseline, any mental disorder symptoms, sex, and age, baseline IGD was associated only with severe school impairment and poor social life (risk ratio [RR] = 1.77; 95% confidence interval [CI] = 1.14-2.75, p = .011; RR = 1.22; 95% CI = 1.07-1.38, p = .002, respectively). University authorities and counselors should consider that incoming 1st-year students that meet criteria for IGD are likely to have increased academic and social impairments during their 1st year for which they may want to intervene. This study adds to the existing literature by longitudinally examining a greater array of negative outcomes of IGD than previously documented.

Sections du résumé

BACKGROUND AND OBJECTIVES
Internet gaming disorder (IGD) is associated with health, social, and academic problems but whether these are consequences of the disorder rather than precursors or correlates is unclear. We aimed to evaluate whether IGD in the 1st year of university predicts health, academic and social problems 1 year later, controlling for baseline health, academic and social problems, demographics, and mental health symptoms.
METHODS
In a prospective cohort study, 1741 university students completed both a baseline online survey in their 1st year and a follow-up survey 1 year later. Log-binomial models examined the strength of prospective associations between baseline predictor variables (IGD, baseline health, academic and social problems, sex, age, and mental health symptoms) and occurrence of health, academic and social problems at follow-up.
RESULTS
When extensively adjusted by the corresponding outcome at baseline, any mental disorder symptoms, sex, and age, baseline IGD was associated only with severe school impairment and poor social life (risk ratio [RR] = 1.77; 95% confidence interval [CI] = 1.14-2.75, p = .011; RR = 1.22; 95% CI = 1.07-1.38, p = .002, respectively).
CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE
University authorities and counselors should consider that incoming 1st-year students that meet criteria for IGD are likely to have increased academic and social impairments during their 1st year for which they may want to intervene. This study adds to the existing literature by longitudinally examining a greater array of negative outcomes of IGD than previously documented.

Identifiants

pubmed: 36645268
doi: 10.1111/ajad.13386
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

343-351

Informations de copyright

© 2023 The American Academy of Addiction Psychiatry (AAAP).

Références

American Psychiatric Associaton. Diagnostic and Statistical Manual of Mental Disorders: DSM-5. American Psychiatric Associaton; 2013.
World Health Organization. WHO | Gaming disorder. WHO; 2018.
Rouvinen H, Jokiniemi K, Sormunen M, Turunen H. Internet use and health in higher education students: a scoping review. Health Promot Int. 2021;36(6):1610-1620. doi:10.1093/heapro/daab007
Schmitt ZL, Livingston MG. Video game addiction and college performance among males: results from a 1 year longitudinal study. Cyberpsychol Behav Soc Netw. 2015;18(1):25-29. doi:10.1089/CYBER.2014.0403
Teng Z, Pontes HM, Nie Q, Xiang G, Griffiths MD, Guo C. Internet gaming disorder and psychosocial well-being: a longitudinal study of older-aged adolescents and emerging adults. Addict Behav. 2020;110:106530. doi:10.1016/J.ADDBEH.2020.106530
Chou WJ, Huang MF, Chang YP, Chen YM, Hu HF, Yen CF. Social skills deficits and their association with Internet addiction and activities in adolescents with attention-deficit/hyperactivity disorder. J Behav Addict. 2017;6(1):42-50. doi:10.1556/2006.6.2017.005
Rasmussen M, Meilstrup CR, Bendtsen P, et al. Perceived problems with computer gaming and Internet use are associated with poorer social relations in adolescence. Int J Public Health. 2014;60(2):179-188. doi:10.1007/s00038-014-0633-z
Tateno M, Teo AR, Ukai W, et al. Internet addiction, smartphone addiction, and hikikomori trait in Japanese young adult: social isolation and social network. Front Psychiatry. 2019;10:455. doi:10.3389/FPSYT.2019.00455/BIBTEX
Mohammadbeigi A, Valizadeh F, Mirshojaee SR, et al. Self-rated health and Internet addiction in Iranian medical sciences students; prevalence, risk factors and complications. Int J Biomed Sci. 2016;12(2):65-70.
Ohayon MM, Roberts L. Internet gaming disorder and comorbidities among campus-dwelling U.S. university students. Psychiatry Res. 2021;302:114043. doi:10.1016/J.PSYCHRES.2021.114043
Hawi NS, Samaha M, Griffiths MD. Internet gaming disorder in Lebanon: relationships with age, sleep habits, and academic achievement. J Behav Addict. 2018;7(1):70-78. doi:10.1556/2006.7.2018.16
Suryawanshi DM, Rajaseharan D, Venugopal R, Mathew M, Joy A, Goyal R. The association between gaming practices and scholastic performance among medical students in India: case-control study. JMIR Med Educ. 2021;7(3):e22235. doi:10.2196/22235
Kardefelt-Winther D. A conceptual and methodological critique of Internet addiction research: towards a model of compensatory Internet use. Comput Human Behav. 2014;31(1):351-354. doi:10.1016/J.CHB.2013.10.059
Kuss DJ, Louws J, Wiers RW. Online gaming addiction? Motives predict addictive play behavior in massively multiplayer online role-playing games. Cyberpsychol Behav Soc Netw. 2012;15(9):480-485. doi:10.1089/CYBER.2012.0034
Bischof-Kastner C, Kuntsche E, Wolstein J. Identifying problematic Internet users: development and validation of the Internet motive questionnaire for adolescents (IMQ-A). J Med Internet Res. 2014;16(10):e230. doi:10.2196/JMIR.3398
González-Bueso V, Santamaría J, Fernández D, Merino L, Montero E, Ribas J. Association between Internet gaming disorder or pathological video-game use and comorbid psychopathology: a comprehensive review. Int J Environ Res Public Health. 2018;15(4):668. doi:10.3390/IJERPH15040668
Brunborg GS, Mentzoni RA, Frøyland LR. Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems. J Behav Addict. 2014;3(1):27-32. doi:10.1556/JBA.3.2014.002
van den Eijnden R, Koning I, Doornwaard S, van Gurp F, ter Bogt T. The impact of heavy and disordered use of games and social media on adolescents' psychological, social, and school functioning. J Behav Addict. 2018;7(3):697-706. doi:10.1556/2006.7.2018.65
Lemmens JS, Valkenburg PM, Peter J. Psychosocial causes and consequences of pathological gaming. Comput Human Behav. 2011;27(1):144-152. doi:10.1016/J.CHB.2010.07.015
Richard J, Temcheff CE, Derevensky JL. Gaming disorder across the lifespan: a scoping review of longitudinal studies. Curr Addict Rep. 2020;7(4):561-587. doi:10.1007/S40429-020-00339-3
Dahl D, Bergmark KH. Problematic Internet use: a scoping review-longitudinal research on a contemporary social problem, 2006-2017. Nordisk alkohol-amp; narkotikatidskrift: NAT. 2020;37(6):497-525. doi:10.1177/1455072520941997
Lash T, VanderWeele T, Haneuse S, Rothman K, Kluwer W. Modern Epidemiology. 4th ed. Lippincott Williams & Wilkins (LWW); 2021.
Benjet C, Gutiérrez-García RA, Abrego-Ramírez A, et al. Psychopathology and self-harm among incoming first-year students in six Mexican universities. Salud Publica Mex. 2018;61(1, ene-feb):16-26.
Cuijpers P, Auerbach RP, Benjet C, et al. Introduction to the special issue: the WHO world mental health international college student (WMH-ICS) initiative. Int J Methods Psychiatr Res. 2019;28(2):1762. doi:10.1002/MPR.1762
Borges G, Orozco R, Benjet C, et al. DSM-5 Internet gaming disorder among a sample of Mexican first-year college students. J Behav Addict. 2019;8(4):714-724. doi:10.1556/2006.8.2019.62
Kessler RC, Santiago PN, Colpe LJ, et al. Clinical reappraisal of the composite international diagnostic interview screening scales (CIDI-SC) in the army study to assess risk and resilience in servicemembers (Army STARRS): clinical reappraisal of the CIDI-SC in army STARRS. Int J Methods Psychiatr Res. 2013;22(4):303-321. doi:10.1002/MPR.1398
Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the alcohol use disorders identification test (AUDIT): WHO Collaborative Project on early detection of persons with harmful alcohol consumption-II. Addiction. 1993;88(6):791-804. doi:10.1111/J.1360-0443.1993.TB02093.X
Reinert DF, Allen JP. The alcohol use disorders identification test (AUDIT): a review of recent research. Alcoholism Clin Exp Res. 2002;26(2):272-279. doi:10.1111/J.1530-0277.2002.TB02534.X
Petry NM, Rehbein F, Ko CH, O'Brien CP. Internet gaming disorder in the DSM-5. Curr Psychiatry Rep. 2015;17(9):72. doi:10.1007/S11920-015-0610-0
Leon AC, Olfson M, Portera L, Farber L, Sheehan DV. Assessing psychiatric impairment in primary care with the Sheehan Disability Scale. Int J Psychiatry Med. 1997;27(2):93-105. doi:10.2190/T8EM-C8YH-373N-1UWD
Ormel J, Petukhova M, Chatterji S, et al. Disability and treatment of specific mental and physical disorders across the world. Br J Psychiatry. 2008;192(5):368-375. doi:10.1192/BJP.BP.107.039107
Alonso J, Vilagut G, Mortier P, et al. The role impairment associated with mental disorder risk profiles in the WHO world mental health international college student initiative. Int J Methods Psychiatr Res. 2019;28(2):e1750. doi:10.1002/MPR.1750
Bray RM, Hourani LL. Substance use trends among active duty military personnel: findings from the United States Department of Defense Health Related Behavior Surveys, 1980-2005. Addiction. 2007;102(7):1092-1101. doi:10.1111/J.1360-0443.2007.01841.X
Brugha TS, Cragg D. The list of threatening experiences: the reliability and validity of a brief life events questionnaire. Acta Psychiatr Scand. 1990;82(1):77-81. doi:10.1111/J.1600-0447.1990.TB01360.X
Vogt DS, Proctor SP, King DW, King LA, Vasterling JJ. Validation of scales from the deployment risk and resilience inventory in a sample of operation Iraqi freedom veterans. Assessment. 2008;15(4):391-403. doi:10.1177/1073191108316030
Mortier P, Demyttenaere K, Auerbach RP, et al. First onset of suicidal thoughts and behaviours in college. J Affect Disord. 2017;207:291-299. doi:10.1016/J.JAD.2016.09.033
Kessler R, Mickelson K, Walters E, Zhao S, Hamilton L. Age and depression in the MIDUS survey. In: Ryff CD, Kessler RC, Brim OG, eds. How Healthy Are We? A National Study of Well-Being at Midlife. University of Chicago Press; 2004:227-251. doi:10.1002/mpr.1398
Cummings P. Methods for estimating adjusted risk ratios. Stata J. 2009;9(2):175-196. doi:10.1177/1536867X0900900201
Naimi AI, Whitcomb BW. Estimating risk ratios and risk differences using regression. Am J Epidemiol. 2020;189(6):508-510. doi:10.1093/AJE/KWAA044
VanderWeele TJ, Jackson JW, Li S. Causal inference and longitudinal data: a case study of religion and mental health. Soc Psychiatry Psychiatr Epidemiol. 2016;51(11):1457-1466. doi:10.1007/S00127-016-1281-9
Valliant R, Dever J. Survey Weights: A Step-by-Step Guide to Calculation; 2018. https://www.stata-press.com/books/survey-weights/
StataCorp LLC. Stata Statistical Software: Release 17. StataCorp LLC; 2021.
Newson RB. Frequentist q-values for multiple-test procedures. Stata J. 2010;10(4):568-584.
Gentile DA, Choo H, Liau A, et al. Pathological video game use among youths: a two-year longitudinal study. Pediatrics. 2011;127(2):e319-e329. doi:10.1542/PEDS.2010-1353
Weinstein N, Przybylski AK, Murayama K. A prospective study of the motivational and health dynamics of Internet gaming disorder. PeerJ. 2017;5(9):e3838. doi:10.7717/PEERJ.3838/TABLE-2
Henchoz Y, Studer J, Deline S, N'goran AA, Baggio S, Gmel G. Video gaming disorder and sport and exercise in emerging adulthood: a longitudinal study. Behav Med (Washington, D.C.). 2016;42(2):105-111. doi:10.1080/08964289.2014.965127
Lau JTF, Wu AMS, Gross DL, Cheng K, Lau MMC. Is Internet addiction transitory or persistent? Incidence and prospective predictors of remission of Internet addiction among Chinese secondary school students. Addict Behav. 2017;74:55-62. doi:10.1016/J.ADDBEH.2017.05.034
Rumpf HJ, Brandt D, Demetrovics Z, et al. Epidemiological challenges in the study of behavioral addictions: a call for high standard methodologies. Curr Addict Rep. 2019;6(3):331-337. doi:10.1007/S40429-019-00262-2
Bickham DS. Current research and viewpoints on Internet addiction in adolescents. Curr Pediatrics Rep. 2021;9(1):1-10. doi:10.1007/S40124-020-00236-3

Auteurs

Corina Benjet (C)

Department of Epidemiology and Psychosocial Research, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.

Ricardo Orozco (R)

Department of Epidemiology and Psychosocial Research, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.

Yesica C Albor (YC)

Department of Epidemiology and Psychosocial Research, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.

Eunice V Contreras (EV)

Facultad de Ciencias Administrativas y Sociales, Universidad Autónoma de Baja California, Ensenada, Mexico.

Iris R Monroy-Velasco (IR)

Facultad de Psicología, Universidad Autónoma de Coahuila, Saltillo, Mexico.

Praxedis C Hernández Uribe (PC)

Secretaría de la Unidad Cuajimalpa, Universidad Autónoma Metropolitana, Mexico City, Mexico.

Patricia M Báez Mansur (PM)

Coordinación de Desarrollo Académico y Servicios Educativos, Universidad la Salle Ciudad Victoria.

María A Covarrubias Díaz Couder (MA)

Coordinación de Investigación, Universidad la Salle Noroeste, Ciudad Obregón, Mexico.

Guillermo E Quevedo Chávez (GE)

Coordinación de psicología, Universidad la Salle Cancún, Cancún, Mexico.

Raúl A Gutierrez-García (RA)

Facultad de Ciencias Sociales y Humanidades, Universidad De La Salle Bajío, Salamanca, Mexico.

Nydia Machado (N)

Departamento de Psicología, Instituto Tecnológico de Sonora, Ciudad Obregón, Mexico.

Claes Andersson (C)

Faculty of Health and Society, Malmö University, Sweden.

Guilherme Borges (G)

Department of Epidemiology and Psychosocial Research, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH