The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.
Internet Use, Facebook Intrusion, and Depression: Results of a Cross-Sectional Study
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“positive correlations were found between depression and Facebook addiction or pathological SNS use, 23,42,43 and Facebook intrusion, 44”
From The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies (2016) · cites this paper as [42]
In the citing paper
“In total, 16% of the studies (n = 5) found a positive correlation between engagement in online social networking and pres-”
From The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies (2016) · cites this paper as [27]
In the citing paper
“For example, Giota & Kleftaras 27 found that participants higher in neuroticism had significantly higher levels of problematic SNS use and exhibited more depressive symptoms than those who scored lower on measures of neuroticism.”
From The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies (2016) · cites this paper as [27]
In the citing paper
“Gender and personality were also found to influence the relationship between online social networking and depression, 27,34,35,45,47 highlighting the role of individual differences alongside usage variables cited above.”
From The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies (2016) · cites this paper as [27]
Citations
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
Development of a Facebook Addiction Scale
Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012) · Psychological Reports · doi:10.2466/02.09.18.pr0.110.2.501-517 · Cited by 1,884
The Use of Psychological Testing for Treatment Planning and Outcome Assessment
Maruish, M. E., & Leahy, R. L. (2000) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.14.2.205 · Cited by 1,634
The Use of Psychological Testing for Treatment Planning and Outcomes Assessment
(2004) · doi:10.4324/9781410610614 · Cited by 1,503
The Relationship Between Depression and Internet Addiction
YOUNG, K. S., & ROGERS, R. C. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.25 · Cited by 1,233
Self-presentation 2.0: Narcissism and self-esteem on facebook
Mehdizadeh, S. (2010) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2009.0257 · Cited by 1,064
The uses and abuses of Facebook: A review of Facebook addiction
Ryan, T., Chester, A., Reece, J., & Xenos, S. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.016 · Cited by 714 · cited 2×
“Previous studies have shown that Facebook addiction is related to psychological variables [28].”
BackgroundPrevalence of pathological internet use among adolescents in Europe: demographic and social factors
Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., Floderus, B., Apter, A., Balazs, J., Barzilay, S., Bobes, J., et al. (2012) · Addiction · doi:10.1111/j.1360-0443.2012.03946.x · Cited by 672
Proposed diagnostic criteria for internet addiction
Tao, R., Huang, X., Wang, J., Zhang, H., Zhang, Y., & Li, M. (2010) · Addiction · doi:10.1111/j.1360-0443.2009.02828.x · Cited by 614
Elphinston, R. A., & Noller, P. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0318 · Cited by 596 · cited 6×
“Facebook intrusion was also related to dissatisfaction with relationships [11].”
BackgroundInfluentialPotential determinants of heavier internet usage
ARMSTRONG, L., PHILLIPS, J. G., & SALING, L. L. (2000) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2000.0400 · Cited by 586
Negative social comparison on Facebook and depressive symptoms: Rumination as a mechanism.
Feinstein, B. A., Hershenberg, R., Bhatia, V., Latack, J. A., Meuwly, N., & Davila, J. (2013) · Psychology of Popular Media Culture · doi:10.1037/a0033111 · Cited by 500
Koc, M., & Gulyagci, S. (2013) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2012.0249 · Cited by 487
“Facebook Depression?” Social Networking Site Use and Depression in Older Adolescents
Jelenchick, L. A., Eickhoff, J. C., & Moreno, M. A. (2013) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2012.05.008 · Cited by 445
Hong, F.-Y., Huang, D.-H., Lin, H.-Y., & Chiu, S.-L. (2014) · Telematics and Informatics · doi:10.1016/j.tele.2014.01.001 · Cited by 330
(2012) · PubMed · Cited by 317
Self-citationBozoğlan, B., Demirer, V., & Şahi̇n, İ. (2013) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12049 · Cited by 315
Internet Addictive Behavior in Adolescence: A Cross-Sectional Study in Seven European Countries
Tsitsika, A., Janikian, M., Schoenmakers, T. M., Tzavela, E. C., Ólafsson, K., Wójcik, S., Macarie, G. F., Tzavara, C., The EU NET ADB Consortium, & Richardson, C. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2013.0382 · Cited by 303
Internet Sex Addiction Treated With Naltrexone
Bostwick, J. M., & Bucci, J. A. (2008) · Mayo Clinic Proceedings · doi:10.4065/83.2.226 · Cited by 265
Predicting Compulsive Internet Use: It's All about Sex!
Meerkerk, G.-J., Eijnden, R. J. J. M. V. D., & Garretsen, H. F. L. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.95 · Cited by 257
Blomfield neira, C. J., & Barber, B. L. (2014) · Australian Journal of Psychology · doi:10.1111/ajpy.12034 · Cited by 247 · cited 1×
“During the past several years, several authors have associated the Internet and social networking use with various mental health issues, such as depression, low self-esteem, and narcissism [16,23,21].”
BackgroundIs burnout a depressive disorder? A reexamination with special focus on atypical depression.
Bianchi, R., Schonfeld, I. S., & Laurent, É. (2014) · International Journal of Stress Management · doi:10.1037/a0037906 · Cited by 203
Is Online Buying Out of Control? Electronic Commerce and Consumer Self-Regulation
LaRose, R., & Eastin, M. S. (2002) · Journal of Broadcasting & Electronic Media · doi:10.1207/s15506878jobem4604_4 · Cited by 169
Błachnio, A., & Przepiórka, A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.02.018 · Cited by 123
Self-citationClinical approaches to treatment of Internet addiction
Przepiórka, A., Błachnio, A., Miziak, B., & Czuczwar, S. J. (2014) · Pharmacological Reports · doi:10.1016/j.pharep.2013.10.001 · Cited by 116
Self-citationUysal, R., Satıcı, S. A., & Ahmet Cumhur, A. K. I. N. (2013) · Psychological Reports · doi:10.2466/02.09.18.pr0.113x32z3 · Cited by 88
Wu, T.-C., Scott, D. R. M., & Yang, C.-C. (2013) · Leisure Sciences · doi:10.1080/01490400.2013.780497 · Cited by 81
Yang, L.-S., Sun, L., Zhang, Z.-H., Sun, Y.-H., Wu, H.-Y., & Ye, D. (2014) · International Journal of Psychology · doi:10.1002/ijop.12063 · Cited by 64
Afsar, B. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.05.001 · Cited by 46
Pantic, I. V. (2013) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2013.10.199 · Cited by 31
Self-citationProblematic Internet Use: Research Trends and Theories
Morahan-Martin, J. M. (2010) · Bryant Digital Repository (Bryant University) · Cited by 5
Flagged first, then by citations
1 of the 32 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Çam, 2012, A new addiction for teacher candidates, Soc Netw, 11, 14
- 10.1016/S0025-6196(11)60846-X · DOI · Paper page
- [5] Błachnio, A. , Przepiórka, A. . Personality and positive orientation in Internet and Facebook addiction. The empirical report on the polish sample [In review].
- 10.1089/cyber.2012.0249 · DOI · Paper page
Cited by
Sorted by citations
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.01.012 · Cited by 1,033
Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.12.008 · Cited by 894
Social Networking Sites, Depression, and Anxiety: A Systematic Review
Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016) · JMIR Mental Health · doi:10.2196/mental.5842 · Cited by 763
“While depression and social anxiety explain much of the variance in problematic SNS use or SNS addiction, other variables (younger age, male, and more frequent SNS or general Internet use) have also emerged as significant predictors [58,62,118].”
Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.10.007 · Cited by 658
A meta-analysis of the problematic social media use and mental health
Huang, C. (2022) · International Journal of Social Psychiatry · doi:10.1177/0020764020978434 · Cited by 399
Metadata
- Authors
- Błachnio, A., Przepiórka, A., & Pantic, I.
- Affiliations
- John Paul II Catholic University of Lublin (PL)
- University of Belgrade (RS)
- Corresponding author
- Błachnio, A.
- Venue
- European Psychiatry
- Publisher
- Cambridge University Press (CUP)
- Published
- 2015-05-08
- Volume
- 30
- Issue
- 6
- Pages
- 681-684
- ISSN
- 0924-9338 (ISSN-L)
- 1778-3585
- OpenAlex
- W1782232633
- Cited by
- 199
- References
- 32
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 14 · 2023: 20 · 2022: 20 · 2021: 20 · 2020: 22 · 2019: 28 · 2018: 23 · 2017: 14 · 2016: 18 · 2015: 5
- FWCI
- 66.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Communication › Digital Media and Philosophy
- Keywords
- depression, internet use, Facebook addiction, social networking sites, adolescents, young adults, online time, gender differences, age differences, mental health
- MeSH terms
- Adolescent, Adult, Age Factors, Cross-Sectional Studies, Depression, Female, Humans, Male, Mental Health, Surveys and Questionnaires, Risk Factors, Sex Factors, Time Factors, Behavior, Addictive, Internet, Social Networking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review