The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index, and 1 are not checked yet.
Longitudinal Associations Between Cyberbullying Involvement and Adolescent Mental Health
Open accessAbstract
Purpose Cyberbullying differs from face-to-face bullying and may negatively influence adolescent mental health, but there is a lack of definitive research on this topic. This study examines longitudinal associations between cyberbullying involvement and adolescent mental health.Methods Participants were 2,480 teenagers taking part in the Olympic Regeneration in East London study. We collected information from participants when they were 12-13 years old and again 1 year later to examine links between involvement in cyberbullying and future symptoms of depression and social anxiety, and mental well-being.Results At baseline, 14% reported being cybervictims, 8% reported being cyberbullies, and 20% reported being cyberbully-victims in the previous year. Compared to uninvolved adolescents, cybervictims and cyberbully-victims were significantly more likely to report symptoms of depression (cybervictims: odds ratio [OR] = 1.44, 95% confidence interval [CI] [1.00, 2.06]; cyberbully-victims: OR = 1.54, 95% CI [1.13, 2.09]) and social anxiety (cybervictims: OR = 1.52, 95% CI [1.11, 2.07]; cyberbully-victims: OR = 1.44, 95% CI [1.10, 1.89]) but not below average well-being (cybervictims: relative risk ratio = 1.28, 95% CI [.86, 1.91]; cyberbully-victims: relative risk ratio = 1.38, 95% CI [.95, 1.99]) at 1 year follow-up, after adjustment for confounding factors including baseline mental health.Conclusions This study emphasizes the high prevalence of cyberbullying and the potential of cybervictimization as a risk factor for future depressive symptoms, social anxiety symptoms, and below average well-being among adolescents. Future research should identify protective factors and possible interventions to reduce adolescent cyberbullying.
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“It is associated with anxiety, depressive symptoms and suicidal ideation, and reportedly has a stronger association with depressive symptoms and suicidal ideation than traditional bullying (Bottino, Bottino, Regina, Correia, & Ribeiro, 2015;Fahy et al., 2016;Hamm et al., 2015;John et al., 2018;Katsaras et al., 2018;Nixon, 2014;van Geel, Vedder, & Tanilon, 2014).”
From Young people’s conceptualizations of the nature of cyberbullying: A systematic review and synthesis of qualitative research (2020) · cites this paper as Fahy et al., 2016
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“Mental health problems such as depression, anxiety and suicidal ideation are commonly identified as psychological consequences of cyberbullying victimization36,81–83.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [81]
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“increased levels of anxiety and depression [7]”
From Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting (2024) · cites this paper as [7]
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“Natural language processing (NLP) can be used for text content analysis, such as social media posts, comments, and messages, to detect patterns of abusive language, threats, derogatory remarks, and other harmful behavior.”
From Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting (2024) · cites this paper as [7]
Experimental — accuracy not yet measuredIn the citing paper
“It is associated with anxiety, depressive symptoms and suicidal ideation, and reportedly has a stronger association with depressive symptoms and suicidal ideation than traditional bullying (Bottino, Bottino, Regina, Correia, & Ribeiro, 2015;Fahy et al., 2016;Hamm et al., 2015;John et al., 2018;Katsaras et al., 2018;Nixon, 2014;van Geel, Vedder, & Tanilon, 2014).”
From Young people’s conceptualizations of the nature of cyberbullying: A systematic review and synthesis of qualitative research (2020) · cites this paper as Fahy et al., 2016
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Metadata
- Authors
- Fahy, A. E., Stansfeld, S. A., Smuk, M., Smith, N. R., Cummins, S., & Clark, C.
- Affiliations
- Queen Mary University of London (GB)
- London School of Hygiene & Tropical Medicine (GB)
- Corresponding author
- Fahy, Amanda E.
- Venue
- Journal of Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 59
- Issue
- 5
- Pages
- 502-509
- ISSN
- 1054-139X (ISSN-L)
- OpenAlex
- W2510956470
- Cited by
- 457
- References
- 38
- Citations by year
- 2026: 25 · 2025: 23 · 2024: 38 · 2023: 33 · 2022: 37 · 2021: 75 · 2020: 48 · 2019: 32 · 2018: 137 · 2017: 9
- FWCI
- 93.30
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of Adolescent Health (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute for Health and Care Research (09/3005/09)
- Public Health Research Programme (09/3005/09)
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Sociology and Political Science › Stalking, Cyberstalking, and Harassment
- Keywords
- cyberbullying, cyber victimization, adolescent mental health, depressive symptoms, social anxiety, psychological well-being, bullying risk factors, longitudinal associations
- MeSH terms
- Adolescent Health, Adolescent, Adolescent Behavior, Anxiety, Child, Depression, Female, Humans, Longitudinal Studies, Male, Quality of Life, Odds Ratio, Crime Victims, Internet, Bullying
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 ›
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