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Internet Use, Facebook Intrusion, and Depression: Results of a Cross-Sectional Study

Published online by Cambridge University Press:  08 May 2015

A. Błachnio ,
A. Przepiórka  and
I. Pantic
A. Błachnio*
Affiliation:
Institute of Psychology, The John Paul II Catholic University of Lublin, Al. Racławickie 14, 20-950Lublin, Poland
A. Przepiórka
Affiliation:
Institute of Psychology, The John Paul II Catholic University of Lublin, Al. Racławickie 14, 20-950Lublin, Poland
I. Pantic
Affiliation:
Institute of Medical Physiology, University of Belgrade, School of Medicine, Visegradska 26/II, 11129Belgrade, Serbia
*
*Corresponding author. +48 81 445 35 10. E-mail address: gatta@kul.pl (A. Błachnio).
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Abstract

Facebook has become a very popular social networking platform today, particularly among adolescents and young adults, profoundly changing the way they communicate and interact. However, some reports have indicated that excessive Facebook use might have detrimental effects on mental health and be associated with certain psychological problems. Because previous findings on the relationship between Facebook addiction and depression were not unambiguous, further investigation was required. The main objective of our study was to examine the potential associations between Internet use, depression, and Facebook intrusion. A total of 672 Facebook users took part in the cross-sectional study. The Facebook Intrusion Questionnaire and the Center for Epidemiologic Studies Depression Scale were used. For collecting the data, the snowball sampling procedure was used. We showed that depression can be a predictor of Facebook intrusion. Our results provides additional evidence that daily Internet use time in minutes, gender, and age are also predictors of Facebook intrusion: that Facebook intrusion can be predicted by being male, young age, and an extensive number of minutes spent online. On the basis of this study, it is possible to conclude that there are certain demographic – variables, such as age, gender, or time spent online – that may help in outlining the profile of a user who may be in danger of becoming addicted to Facebook. This piece of knowledge may serve for prevention purposes.

Keywords

Facebook intrusionFacebook addictionDepressionSocial networking sitesInternet usePsychology
Type
Original article
Information
European Psychiatry , Volume 30 , Issue 6 , September 2015 , pp. 681 - 684
Copyright
Copyright © Elsevier Masson SAS 2015

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References

Afsar, B.The relation between Internet and social media use and the demographic and clinical parameters, quality of life, depression, cognitive function and sleep quality in hemodialysis patients: social media and hemodialysis. Gen Hosp Psychiatry 2013;35(6):625–630. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=23948575&site=ehost-live.CrossRefGoogle ScholarPubMed
Andreassen, C.S., Torsheim, T., Brunborg, G.S., Pallesen, S.Development of a Facebook Addiction Scale 1, 2. Psychol Rep 2012;110(2):501–517. [Internet] http://www.amsciepub.com/doi/abs/10.2466/02.09.18.PR0.110.2.501-517.CrossRefGoogle Scholar
Armstrong, L., Phillips, J.G., Saling, L.L.Potential determinants of heavier Internet usage. Int J Hum Comput Stud 2000;53(4):537–550. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2000-12256-004&site=ehost-live.CrossRefGoogle Scholar
Bianchi, R., Schonfeld, I.S., Laurent, E.Is burnout a depressive disorder? A reexamination with special focus on atypical depression. Int J Stress Manag 2014;21(4):307–324. [Internet] http://doi.apa.org/getdoi.cfm?doi=10.1037/a0037906.CrossRefGoogle Scholar
Błachnio, A., Przepiórka, A.Personality and positive orientation in Internet and Facebook addiction. The empirical report on the polish sample [In review].Google Scholar
Bostwick, J.M., Bucci, J.A.Internet sex addiction treated with naltrexone. Mayo Clin Proc 2008;83(2):226–230. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/18241634.CrossRefGoogle ScholarPubMed
Bozoglan, B., Demirer, V., Sahin, I.Loneliness, self-esteem, and life satisfaction as predictors of Internet addiction: a cross-sectional study among Turkish university students. Scand J Psychol 2013;54(4):313–319. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2013-25641-007&site=ehost-live.CrossRefGoogle ScholarPubMed
Çam, E., İşbulan, O.A new addiction for teacher candidates. Soc Netw 2012;11(3):14–19.Google Scholar
Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., Floderus, B., et al.Prevalence of pathological Internet use among adolescents in Europe: demographic and social factors. Addiction 2012;107(12):2210–2222. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/22621402.CrossRefGoogle ScholarPubMed
Eaton, W.W., Muntaner, C., Smith, C., Tien, A., Ybarra, M.Center for Epidemiologic Studies Depression Scale: review and revision (CESD and CESD-R). In: Maruish, M. editor. The Use of Psychological Testing for Treatment Planning and Outcomes Assessment. NJ: Lawrence Erlbaum; 2004. 363–377.Google Scholar
Elphinston, R., Noller, P.Time to face it! Facebook intrusion and the implications for romantic jealousy and relationship satisfaction. Cyberpsychol Behav Soc Netw 2011;14(11):631–635. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/21548798.CrossRefGoogle ScholarPubMed
Facebook Statistics. 2014. http://newsroom.fb.com/company-info/.Google Scholar
Feinstein, B., Hershenberg, R., Bhatia, V., Latack, J., Meuwly, N., Davila, J.Negative social comparison on Facebook and depressive symptoms: rumination as a mechanism Psychol Pop Media Cult 2013;2(3):161–170. [Internet] http://doi.apa.org/getdoi.cfm?doi=10.1037/a0033111.CrossRefGoogle Scholar
Goldberg, I.Internet addiction disorder – diagnostic criteria. [Internet] http://www.psycom.net/iadcriteria.html.Google Scholar
Hong, F.-Y., Huang, D.-H., Lin, H.-Y., Chiu, S.-L.Analysis of the psychological traits, Facebook usage, and Facebook addiction model of Taiwanese university students. Telemat Informatics 2014;31(4):597–606. [Internet] http://linkinghub.elsevier.com/retrieve/pii/S0736585314000021.CrossRefGoogle Scholar
Jelenchick, L.A., Eickhoff, J.C., Moreno, M.A.“Facebook depression?” Social networking site use and depression in older adolescents. J Adolesc Heal 2013;52(1):128–130. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2012-18452-001&site=ehost-live.CrossRefGoogle ScholarPubMed
Koc, M., Gulyagci, S.Facebook addiction among Turkish college students: the role of psychological health, demographic, and usage characteristics. Cyberpsychol Behav Soc Netw 2013;16(4):279–284. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/23286695.CrossRefGoogle ScholarPubMed
Koc, M., Gulyagci, S.Facebook addiction among Turkish college students: the role of psychological health, demographic, and usage characteristics. Cyberpsychol Behav Soc Netw 2013;16(4):279–284. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=23286695&site=ehost-live.CrossRefGoogle ScholarPubMed
LaRose, R., Eastin, M.S.Is online buying out of control? Electronic commerce and consumer self-regulation. J Broadcast Electron Media 2002;46(4):549–564. [Internet] http://www.tandfonline.com/doi/abs/10.1207/s15506878jobem4604_4.CrossRefGoogle Scholar
Meerkerk, G., Van Den Eijnden, R.J.J.M., Garretsen, H.F.L.Predicting compulsive Internet use: it's all about sex!. Cyberpsychol Behav 2006;9(1):95–103. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/16497122.CrossRefGoogle ScholarPubMed
Mehdizadeh, S.Self-presentation 2.0: narcissism and self-esteem on Facebook. Cyberpsychol Behav Soc Netw 2010;13(4):357–364. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/20712493.CrossRefGoogle ScholarPubMed
Morahan-Martin, J.Problematic Internet use: research trends and theories. Błachnio, A., Przepiórka, A., Rowiński, T.Internet in psychological research 2010;133–148. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2011-25365-006&site=ehost-live.Google Scholar
Neira, C.J.B., Barber, B.L.Social networking site use: linked to adolescents’ social self-concept, self-esteem, and depressed mood. Aust J Psychol 2014;66(1):56–64. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2014-02226-007&site=ehost-live.CrossRefGoogle Scholar
Pantic, I.Social networking and depression: an emerging issue in behavioral physiology and psychiatric research. J Adolesc Health 2014;54(6):745–746. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/24361236.CrossRefGoogle ScholarPubMed
Pantic, I., Damjanovic, A., Todorovic, J., Topalovic, D.Association between online social networking and depression in high school students. Behav Physiol Viewpoint 2012;24(1):87–90.Google ScholarPubMed
Przepiorka, A.M., Blachnio, A., Miziak, B., Czuczwar, S.J.Clinical approaches to treatment of Internet addiction. Pharmacol Reports 2014;66:187–191. [Internet] http://linkinghub.elsevier.com/retrieve/pii/S1734114014000322.CrossRefGoogle ScholarPubMed
Radloff, L.S.The-CES-D-Scale_A-Self-report-Depression-Scale-for-Research-in-the-General-Population.pdf. Appl Psychol Meas. 1977;1:385–401.CrossRefGoogle Scholar
Ryan, T., Chester, A., Reece, J., Xenos, S.The uses and abuses of Facebook: a review of Facebook addiction J Behav Addict 2014;3(3):133–148. [Internet] http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4189307&tool=pmcentrez&rendertype=Abstract.CrossRefGoogle ScholarPubMed
Tao, R., Huang, X., Wang, J., Zhang, H., Zhang, Y., Li, M.Proposed diagnostic criteria for Internet addiction. Addiction 2010;105(3):556–564. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/20403001.CrossRefGoogle ScholarPubMed
Tsitsika, A., Janikian, M., Schoenmakers, T.M., Tzavela, E.C., Olafsson, K., Wójcik, S., et al.Internet addictive behavior in adolescence: a cross-sectional study in seven European countries. Cyberpsychol Behav Soc Netw 2014;17(8):528–535. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/24853789.CrossRefGoogle ScholarPubMed
Uysal, R., Satici, S.A., Akin, A.Mediating effect of Facebook addiction on the relationship between subjective vitality and subjective happiness. Psychol Rep 2013;113(3):948–953. [Internet] http://www.ncbi.nlm.nih.gov/pubmed/24693824.CrossRefGoogle ScholarPubMed
Wu (Emily), T.-C., Scott, D., Yang, C.-C.Advanced or addicted? Exploring the relationship of recreation specialization to flow experiences and online game addiction. Leis Sci 2013;35(3):203–217. [Internet] http://www.tandfonline.com/doi/abs/10.1080/01490400.2013.780497.Google Scholar
Yang, L., Sun, L., Zhang, Z., Sun, Y., Wu, H., Ye, D.Internet addiction, adolescent depression, and the mediating role of life events: finding from a sample of Chinese adolescents. Int J Psychol J Int Psychol 2014;49(5):342–347. [Internet] http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=25178955&site=ehost-live.CrossRefGoogle ScholarPubMed
Young, K.S., Rodgers, R.C.The relationship between depression and internet addiction. 1998;1(1):25–8.Google Scholar
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