Does Life Satisfaction Mediate the Association between Socioeconomic Status and Excessive Internet Use?

. 2019 Oct 15 ; 16 (20) : . [epub] 20191015

Jazyk angličtina Země Švýcarsko Médium electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid31618889

Excessive Internet use is becoming a rapidly increasing problem in today's society. Our aim was to assess the association between socioeconomic status (SES) of the family and excessive Internet use (EIU), and whether life satisfaction mediates this association. We analyzed data from a representative sample of 2844 Slovak adolescents (mean age 14.34, 50.5% boys) from the 2014 Health Behavior in School aged Children (HBSC) study, based on self-report questionnaires. We assessed the association of SES, measured by several indicators, such as perceived family wealth, parental education, and (un)employment, and adolescent EIU using linear regression, adding life satisfaction as a mediator. Adolescents whose father was unemployed and whose perceived family wealth was low tended to score higher on EIU. Neither gender nor age affected this relationship. Life satisfaction mediated a part of the association between SES and EIU in the case of low perceived family wealth and father's (un)employment. Adolescents with a low SES are more likely to become excessive Internet users, and life satisfaction mediates this association. Prevention of EIU among adolescents should be targeted at those with low SES, with life satisfaction being the topic to address.

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Ghekiere A., Van Cauwenberg J., Vandendriessche A., Inchley J., Gaspar de Matos M., Borracino A., Gobina I., Tynjala J., Deforche B., De Clercq B. Trends in sleeping difficulties among European adolescents: Are these associated with physical inactivity and excessive screen time? Int. J. Public Health. 2019;64:487–498. doi: 10.1007/s00038-018-1188-1. PubMed DOI

De Looze M., van Dorsselaer S., Stevens G.W.J.M., Boniel-Nissim M., Vieno A., Van den Eijnden R.J.J.M. The decline in adolescent substance use across Europe and North America in the early twenty first century: A result of the digital revolution? Int. J. Public Health. 2019;64:229–240. doi: 10.1007/s00038-018-1182-7. PubMed DOI PMC

Smahel D., Helsper E., Green L., Kalmus V., Blinka L., Ólafsson K. Excessive Internet Use among European Children. EU Kids Online, London School of Economics Political Science; London, UK: 2012. [(accessed on 23 September 2019)]. Available online: http://eprints.lse.ac.uk/47344/

Davis R.A. A Cognitive Behavioral Model of Pathological Internet Use. Comput. Hum. Behav. 2001;17:187–195. doi: 10.1016/S0747-5632(00)00041-8. DOI

Muller M., Brand M., Mies J., Lachmann B., Yordanova Sariyska R., Montag C. The 2D:4D Marker and Different Forms of Internet Use Disorder. Front. Psychiatry. 2017;8:213. doi: 10.3389/fpsyt.2017.00213. PubMed DOI PMC

Montag C., Bey K., Sha P., Li M., Chen Y.F., Liu W.Y., Zhu Y.K., Li C.B., Markett S., Keiper J., et al. Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China. Asia Pac. Psychiatry. 2015;7:20–26. doi: 10.1111/appy.12122. PubMed DOI

Montag C., Becker B. Psychological and neuroscientific advances to understand Internet Use Disorder. Neuroforum. 2019;25:99–107. doi: 10.1515/nf-2018-0026. DOI

American Psychiatric Association (APA) Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Association; Arlington, VA, USA: 2013.

Brand M., Young K.S., Laier C., Wolfling K., Potenza M.N. Integrating psychological and neurobiological consideration regarding the development and maintenance of specific Internet-use disorders: An interaction Model of Person Affect-Cognition-Execution (I-PACE) Model. Neurosci. Biobehav. Rev. 2016;71:252–266. doi: 10.1016/j.neubiorev.2016.08.033. PubMed DOI

Griffiths M. A components’ model of addiction within a biopsychosocial framework. J. Subst. Use. 2005;4:191–197. doi: 10.1080/14659890500114359. DOI

Livingstone S., Haddon L., Gorzig A., Olafsson K. Risks and Safety on the Internet: The Perspective of European Children: Full Findings and Policy Implications from the EU Kids Online Survey of 9–16 Years Olds and Their Parents in 25 Countries. 2011. [(accessed on 23 September 2019)]. Available online: http://eprints.lse.ac.uk/33731/1/Risks%20and%20safety%20on%20the%20internet%28lsero%29.pdf.

Sweeting H., Hunt K. Adolescent socio-economic and school-based social status, health and well-being. Soc. Sci. Med. 2014;121:39–47. doi: 10.1016/j.socscimed.2014.09.037. PubMed DOI PMC

Malak M.Z., Khalifeh A.H., Shuhaiber A.H. Prevalence of Internet Addiction and associated risk factors in Jordanian school students. Comput. Hum. Behav. 2017;70:556–563. doi: 10.1016/j.chb.2017.01.011. DOI

Livingstone S., Haddon L. EU Kids Online LSE; London, UK: 2009. EU Kids Online: Final Report (EC Safer Internet Plus Programme Deliverable D6. 5)

Shahnaz I., Karim A.R. The impact of Internet addiction on life satisfaction and life engagement in young adults. Univers. J. Psychol. 2014;2:273–284. doi: 10.13189/ujp.2014.020902. DOI

Cao H., Sun Y., Wan Y., Hao J., Tao F. Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health. 2011;11:802. doi: 10.1186/1471-2458-11-802. PubMed DOI PMC

Telef B. Investigating the Relationship among Internet Addiction, Positive and Negative Affects and Life Satisfaction in Turkish Adolescents. IJPE. 2016;12:121.

Lachmann B., Sariyska R., Kannen C., Cooper A., Montag C. Life satisfaction and problematic Internet use: Evidence for gender specific effects. Psychiatry Res. 2016;238:363–367. doi: 10.1016/j.psychres.2016.02.017. PubMed DOI

Lachmann B., Sindermann C., Sariyska R.Y., Luo R., Melchers M.C., Becker B., Cooper A.J., Montag C. The Role of Empathy and Life Satisfaction in Internet and Smarthphone Use Disorder. Front. Psychol. 2018;9:398. doi: 10.3389/fpsyg.2018.00398. PubMed DOI PMC

Lachmann B., Sariyska R.Y., Kannen C., Stavrou M., Montag C. Commuting, Life-Satisfaction and Internet Addiction. Int. J. Environ. Res. Public Health. 2017;14:1176. doi: 10.3390/ijerph14101176. PubMed DOI PMC

Skarupova K., Olafsson K., Blinka L. Excessive Internet Use and its association with negative experiences: Quasi–validation of a short scale in 25 European countries. Comput. Hum. Behav. 2015;53:118–123. doi: 10.1016/j.chb.2015.06.047. DOI

Islam A., Hossin M.Z. Prevalence and risk factors of problematic Internet use and the associated psychological distress among graduate students of Bangladesh. Assian J. Gambl. Issues Public Health. 2016;6:11. doi: 10.1186/s40405-016-0020-1. PubMed DOI PMC

Andreou E., Svoli H. The Association Between Internet User Characteristics and Dimensions of Internet Addiction Among Greek Adolescents. Int. J. Ment. Health Addict. 2012;11:139–148. doi: 10.1007/s11469-012-9404-3. DOI

Dregval L., Petrauskienė A. Associations between physical activity of primary school first-graders during leisure time and family socioeconomic status. Medicina. 2009;45:549–556. doi: 10.3390/medicina45070073. PubMed DOI

Statista Share of Households with Internet Access in Slovakia from 2007 to 2018. [(accessed on 23 September 2019)];2019 Available online: www.statista.com/statistics/377764/household-internet-access-in-slovakia/

Bucksch J., Kopcakova J., Inchley J., Troped P.J., Sudeck G., Sigmundova D., Nalecz H., Borraccino A., Salonna F., Dankulincova Veselska Z., et al. Associations between perceived social and physical environmental variables and physical activity and screen time among adolescents in four European countries. Int. J. Public Health. 2019;64:83–94. doi: 10.1007/s00038-018-1172-9. PubMed DOI

Brindova D., Pavelka J., Ševčíková A., Žežula I., van Dijk J.P., Reijneveld S.A., Madarasova Geckova A. How parents can affect excessive spending of time on screen-based activities. BMC Public Health. 2014;14:1261. doi: 10.1186/1471-2458-14-1261. PubMed DOI PMC

Hasebrink U., Haddon L., Ólafsson K. Comparing Children’s Online Opportunities and Risks across Europe: Cross-National Comparisons for EU Kids Online. EU Kids Online LSE; London, UK: 2009. [(accessed on 23 September 2019)]. Available online: http://eprints.lse.ac.uk/24368/1/D3.2_Report-Cross_national_comparisons-2nd-edition.pdf.

Sleskova M., Salonna F., Geckova A.M., Nagyova I., Stewart R.E., van Dijk J.P., Groothoff J.W. Does parental unemployment affect adolescents’ health? J. Adolesc. Health. 2006;38:527–535. doi: 10.1016/j.jadohealth.2005.03.021. PubMed DOI

Kuss D., Dunn T.J., Wolfling K., Muller K.W. Excessive Internet use and psychopathology: The role of coping. Clin. Neuropsychiatry. 2017;14:73–81.

Leung L. Stressful life events, motives for Internet use, and social support among digital kids. Cyberpsychol. Behav. 2006;10:204–214. doi: 10.1089/cpb.2006.9967. PubMed DOI

Yoo Y.S., Cho O.H., Cha K.S. Association between overuse of the Internet and mental health in adolescents. Nurs. Health Sci. 2014;16:193–200. doi: 10.1111/nhs.12086. PubMed DOI

Bukhari S.R., Saba F. Depression, anxiety and stress as negative predictors of life satisfaction in university students. Rawal Med. J. 2017;42:255–257.

Ghazwin M.Y., Kavian M., Ahmadloo M., Jarchi A., Javadi S.G., Latifi S., Tavakoli S.A.H., Ghajarzadeh M. The association between life satisfaction and the extent of depression, anxiety and stress among Iranian nurses: A Multicenter Survey. Iran. J. Psychiatry. 2016;11:120. PubMed PMC

De Zoysa P., Wickrama T., Wickramasuriya T. Online Social Networking and Its Perceived Life Satisfaction among Sri Lankan Medical Students. South East Asian J. Med Educ. 2015;9:33–37.

Gil-Or O., Levi-Belz Y., Turel O. The “Facebook-self”: Characteristics and psychosocial predictors of false self-presentation on Facebook. Front. Psychol. 2015;6:99. doi: 10.3389/fpsyg.2015.00099. PubMed DOI PMC

Hodačová L., Smejkalová J., Čermáková E., Kalman M. Experience of Czech Children with Alcohol Consumption in Relation to Selected Family Indicators. Cent. Eur. J. Public Health. 2017;25:22–28. doi: 10.21101/cejph.a4381. PubMed DOI

Svedberg P., Nygren J.M., Staland–Nyman C., Nyholm M. The validity of socioeconomic status measures among adolescents based on self-reported information about parent’s occupations, FAS and perceived SES; implication for health related quality of life studies. BMC Med. Res. Methodol. 2016;16:48. doi: 10.1186/s12874-016-0148-9. PubMed DOI PMC

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