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Linkages between Depressive Symptomatology and Internet Harassment among Young Regular Internet Users
Abstract
Recent reports indicate 97% of youth are connected to the Internet. As more young people have access to online communication, it is integrally important to identify youth who may be more vulnerable to negative experiences. Based upon accounts of traditional bullying, youth with depressive symptomatology may be especially likely to be the target of Internet harassment. The current investigation will examine the cross-sectional relationship between depressive symptomatology and Internet harassment, as well as underlying factors that may help explain the observed association. Youth between the ages of 10 and 17 (N = 1,501) participated in a telephone survey about their Internet behaviors and experiences. Subjects were required to have used the Internet at least six times in the previous 6 months to ensure a minimum level of exposure. The caregiver self-identified as most knowledgeable about the young person's Internet behaviors was also interviewed. The odds of reporting an Internet harassment experience in the previous year were more than three times higher (OR: 3.38, CI: 1.78, 6.45) for youth who reported major depressive symptomatology compared to mild/absent symptomatology. When female and male respondents were assessed separately, the adjusted odds of reporting Internet harassment for males who also reported DSM IV symptoms of major depression were more than three times greater (OR: 3.64, CI: 1.16, 11.39) than for males who indicated mild or no symptoms of depression. No si…
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“For youth ages 10 to 17 who reported major depressive symptomatology, there was over 3 times greater odds of facing online harassment in the last year compared to youth who reported mild or no depressive symptoms (Ybarra, 2004)”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Ybarra, 2004
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“…anxiety symptoms • Greater odds of online harassment in individuals with major depressive symptoms than those with mild or no symptoms (Hamm et al. 2015; Machmutow et al. 2012; Rideout and Fox 2018; Ybarra 2004) 3) Consequences for daily life • Risks pertain to privacy, confidentiality, and…”
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Metadata
- Authors
- Ybarra, M. L.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Ybarra, Michele L.
- ORCID
- Ybarra, Michele L.
- Venue
- CyberPsychology & Behavior
- Publisher
- SAGE Publications
- Published
- 2004-04
- Volume
- 7
- Issue
- 2
- Pages
- 247-257
- ISSN
- 1094-9313 (ISSN-L)
- 1557-8364
- OpenAlex
- W1976772500
- Cited by
- 425
- References
- 32
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 10 · 2023: 13 · 2022: 11 · 2021: 20 · 2020: 24 · 2019: 18 · 2018: 16 · 2017: 23 · 2016: 28 · 2015: 37 · 2014: 33 · 2013: 41 · 2012: 41
- FWCI
- 7.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- CyberPsychology & Behavior (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Centers for Disease Control and Prevention (R49/CCR318627, 448/CC4309674)
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Sociology and Political Science › Stalking, Cyberstalking, and Harassment
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- online harassment, depressive symptoms, youth, cyberbullying, gender differences, internet use, adolescents, cyber victimization, psychosocial risk factors
- MeSH terms
- Adolescent, Adolescent Behavior, Psychology, Adolescent, Child, Cross-Sectional Studies, Data Collection, Depression, Depressive Disorder, Female, Humans, Male, Social Behavior, United States, Internet
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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