The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Two studies (Barry et al., 2017; Wang et al., 2018) recruited by convenience sampling, which raises the risk of selection bias.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Wang et al., 2018
The cited source says what the claim attributes to it.
In the citing paper
“In another study in China, Wang et al. (2018) found that social networking sites addiction was positively associated with depression; rumination mediated the relationship between social networking sites addiction and depression while self-esteem moderated this mediating e ff ect.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Wang et al. (2018)
The cited source says what the claim attributes to it.
In the citing paper
“In another study in China, Wang et al. (2018) found that social networking sites addiction was positively associated with depression; rumination mediated the relationship between social networking sites addiction and depression while self-esteem moderated this mediating e ff ect.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Wang et al. (2018)
The cited source says what the claim attributes to it.
In the citing paper
“Perceived social support (Frison & Eggermont, 2016) and rumination (Wang et al., 2018) were other mediating factors reported in the studies.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Wang et al., 2018
The cited source says what the claim attributes to it.
In the citing paper
“In another study in China, Wang et al. (2018) found that social networking sites addiction was positively associated with depression; rumination mediated the relationship between social networking sites addiction and depression while self-esteem moderated this mediating e ff ect.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Wang et al. (2018)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
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
(2013) · Cited by 44,563
Eysenck, H. J. (1985) · Behaviour Research and Therapy · doi:10.1016/0005-7967(85)90087-7 · Cited by 32,038
Society and the Adolescent Self-Image
Rosenberg, M. (1965) · doi:10.1515/9781400876136 · Cited by 30,126
“Stress: appraisal and coping,”
Folkman, S. (2013) · Encyclopedia of Behavioral Medicine · doi:10.1007/978-1-4419-1005-9_215 · Cited by 27,833
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Introduction to Statistical Mediation Analysis
MacKinnon, D. P. (2012) · doi:10.4324/9780203809556 · Cited by 5,618
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008) · Perspectives on Psychological Science · doi:10.1111/j.1745-6924.2008.00088.x · Cited by 5,172
Responses to depression and their effects on the duration of depressive episodes
Nolen-Hoeksema, S. (1991) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.100.4.569 · Cited by 4,529
Nolen-Hoeksema, S., & Morrow, J. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.61.1.115 · Cited by 3,276
The role of rumination in depressive disorders and mixed anxiety/depressive symptoms.
Nolen-Hoeksema, S. (2000) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.109.3.504 · Cited by 2,998
The nature and function of self-esteem: Sociometer theory
Leary, M. R., & Baumeister, R. F. (2000) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(00)80003-9 · Cited by 2,521
Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies.
Sowislo, J. F., & Orth, U. (2013) · Psychological Bulletin · doi:10.1037/a0028931 · Cited by 2,123
Online Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038
The Impact of Social Media on Children, Adolescents, and Families
O'Keeffe, G. S., Clarke-Pearson, K., & Council on Communications and Media (2011) · Pediatrics · doi:10.1542/peds.2011-0054 · Cited by 1,987
Who interacts on the Web?: The intersection of users’ personality and social media use
Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.09.003 · Cited by 1,915
Cross-Cultural Correlates of Life Satisfaction and Self-Esteem
Diener, E., & Diener, M. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.68.4.653 · Cited by 1,722
Emotion Regulation and Psychopathology: The Role of Gender
Nolen–Hoeksema, S. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143109 · Cited by 1,413
Caplan, S. E. (2002) · Computers in Human Behavior · doi:10.1016/s0747-5632(02)00004-3 · Cited by 1,279 · cited 1×
“It has been suggested that Internet addiction is a form of passive coping, and the addicted users relay on the Internet to escape from their real-life problems and troubling feelings (Caplan, 2002; Tao, 2005).”
BackgroundPassive Facebook usage undermines affective well-being: Experimental and longitudinal evidence.
Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., Ybarra, O., Jonides, J., & Kross, E. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000057 · Cited by 988 · cited 1×
“Diary and experience sampling studies have further confirmed that SNS use could predict depression (Steers, Wickham, & Acitelli, 2014; Verduyn et al., 2015).”
BackgroundKim, J., & Lee, J.-E. R. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0374 · Cited by 930
Life-span development of self-esteem and its effects on important life outcomes.
Orth, U., Robins, R. W., & Widaman, K. F. (2012) · Journal of Personality and Social Psychology · doi:10.1037/a0025558 · Cited by 860
Nesi, J., & Prinstein, M. J. (2015) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-015-0020-0 · Cited by 758
Self-Esteem Development Across the Lifespan
Robins, R. W., & Trzesniewski, K. H. (2005) · Current Directions in Psychological Science · doi:10.1111/j.0963-7214.2005.00353.x · Cited by 748
Social networking on smartphones: When mobile phones become addictive
Salehan, M., & Negahban, A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.07.003 · Cited by 700
Adolescent Depressive Symptoms as Predictors of Adult Depression: Moodiness or Mood Disorder?
Pine, D. S., Cohen, E., Cohen, P., & Brook, J. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.1.133 · Cited by 619
The interplay between Facebook use, social comparison, envy, and depression
Appel, H., Gerlach, A. L., & Crusius, J. (2016) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2015.10.006 · Cited by 605
Elphinston, R. A., & Noller, P. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0318 · Cited by 596
Griffiths, M. D., Kuss, D. J., & Demetrovics, Z. (2014) · Behavioral Addictions · doi:10.1016/b978-0-12-407724-9.00006-9 · Cited by 583
Seeing everyone else’s highlight reels: how Facebook usage is linked to depressive symptoms.
Steers, M.-L. N., Wickham, R. E., & Acitelli, L. K. (2014) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2014.33.8.701 · Cited by 535
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
“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
Sampasa-Kanyinga, H., & Lewis, R. F. (2015) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2015.0055 · Cited by 424
Specificity of rumination in anxiety and depression: A multimodal meta‐analysis.
Olatunji, B. O., Naragon-Gainey, K., & Wolitzky-Taylor, K. B. (2013) · Clinical Psychology: Science and Practice · doi:10.1037/h0101719 · Cited by 380
Cairns, K. E., Yap, M. B. H., Pilkington, P. D., & Jorm, A. F. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.08.006 · Cited by 363
Shaw, A. M., Timpano, K. R., Tran, T. B., & Joormann, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.003 · Cited by 291
Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model
Liu, Q.-Q., Zhou, Z.-K., Yang, X.-J., Kong, F.-C., Niu, G.-F., & Fan, C.-Y. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.042 · Cited by 278
Luthar, S. S., Crossman, E. J., & Small, P. J. (2015) · Handbook of Child Psychology and Developmental Science · doi:10.1002/9781118963418.childpsy307 · Cited by 256
Assessing treatments used to reduce rumination and/or worry: A systematic review
Querstret, D., & Cropley, M. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.08.004 · Cited by 253
Linking Executive Control and Emotional Response
Cohen, N., Mor, N., & Henik, A. (2014) · Clinical Psychological Science · doi:10.1177/2167702614530114 · Cited by 146
Zhang, Y., Mei, S., Li, L., Chai, J., Li, J., & Du, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131597 · Cited by 136
Wilkinson, P. O., Croudace, T. J., & Goodyer, I. M. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-250 · Cited by 135
Social Networking Addiction: An Overview of Preliminary Findings
Griffiths, M. D., Kuss, D. J., & Demetrovics, Z. (2014) · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · Cited by 109
Treatment-resistant depression in adolescents: review and updates on clinical management
Maalouf, F. T., Atwi, M., & Brent, D. A. (2011) · Depression and Anxiety · doi:10.1002/da.20884 · Cited by 102
Xu, H., & Tan, B. C. Y. (2012) · National University of Singapore · Cited by 83
Facebook Use and the Tendency to Ruminate among College Students: Testing Mediational Hypotheses
Locatelli, S. M., Kluwe, K., & Bryant, F. B. (2012) · Journal of Educational Computing Research · doi:10.2190/ec.46.4.d · Cited by 71
Cultural and Personality Predictors of Facebook Intrusion: A Cross-Cultural Study
Błachnio, A., Przepiórka, A., Benvenuti, M., Cannata, D., Ciobanu, A., Senol-Durak, E., Durak, M., Giannakos, M., Mazzoni, E., Pappas, I., et al. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01895 · Cited by 46
Yao, S. (2009) · Zhongguo linchuang xinlixue zazhi · Cited by 34
An international perspective on Facebook intrusion
Błachnio, A., Przepiórka, A., Benvenuti, M., Cannata, D., Ciobanu, A. M., Şenol-Durak, E., Durak, M., Giannakos, M. N., Mazzoni, E., Pappas, I. O., et al. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.06.015 · Cited by 28
Dwyer, R., Wenhui, L., Cysique, L. A., Brew, B. J., Lal, L., Bain, P. A., Wesselingh, S. L., & Wright, E. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.03.038 · Cited by 18
Wieland, D. M. (2015) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20150923-22 · Cited by 8
Choi, E. (2017) · The Journal of the Korea Contents Association · doi:10.5392/jkca.2017.17.02.375 · Cited by 3
The Effects of Cell-Phone Dependency of Adolescents: Moderated Analysis of Self-Esteem
Shim, H.-J., & Rhee, H.-S. (2017) · The Korean Journal of Health Service Management · doi:10.12811/kshsm.2017.11.2.117 · Cited by 1
Research works printed but not linked: 2
- Rosenberg, 1965, 11, 326
- Tao, 2005, Teenagers' Internet addiction and the quality–oriented education, Journal of Higher Correspondence Education (Philosophy and Social Sciences), 3, 70
Cited by
Sorted by citations
Keles, B., McCrae, N., & Grealish, A. (2020) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1590851 · Cited by 1,909
Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis.
Shannon, H., Bush, K., Villeneuve, P. J., Hellemans, K. G., & Guimond, S. (2022) · JMIR Mental Health · doi:10.2196/33450 · Cited by 593
“29) 175 (48) 190 (52) 365 Wang (2018) [35]”
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
Azizi, S. M., Soroush, A., & Khatony, A. (2019) · BMC Psychology · doi:10.1186/s40359-019-0305-0 · Cited by 306
Social media use and mental health and well-being among adolescents: a scoping review
Schønning, V., Hjetland, G. J., Aarø, L. E., & Skogen, J. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01949 · Cited by 288
Metadata
- Authors
- Wang, P., Wang, X., Wu, Y., Xie, X., Wang, X., Zhao, F., Ouyang, M., & Lei, L.
- Affiliations
- Renmin University of China (CN)
- University of Groningen (NL)
- Northeast Normal University (CN)
- Corresponding author
- Lei, Li
- ORCID
- Venue
- Personality and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 127
- Pages
- 162-167
- ISSN
- 0191-8869 (ISSN-L)
- OpenAlex
- W2790907667
- Cited by
- 221
- References
- 54
- Citations by year
- 2026: 25 · 2025: 38 · 2024: 27 · 2023: 29 · 2022: 31 · 2021: 22 · 2020: 28 · 2019: 18 · 2018: 3
- FWCI
- 37.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Personality and Individual Differences (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- Renmin University of China
- Key Project of Social Science Fund of Beijing, China (15SHA005)
- Ministry of Education (14JJD190005)
- Fundamental Research Funds for the Central Universities
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- adolescent depression, rumination, self-esteem, moderated mediation, Chinese adolescents, internet addiction
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
