The DOI matches its Crossref record; 37 of the 39 references it cites were found in a registry or an index; 6 of the 30 sources its claims cite were checked for support.
Associations Between Social Media and Suicidal Behaviors During a Youth Suicide Cluster in Ohio
Open accessAbstract
Purpose Youth suicide clusters may be exacerbated by suicide contagion-the spread of suicidal behaviors. Factors promoting suicide contagion are poorly understood, particularly in the advent of social media. Using cross-sectional data from an ongoing youth suicide cluster in Ohio, this study examines associations between suicide cluster-related social media and suicidal behaviors. Methods We surveyed 7th- to 12th-grade students in northeastern Ohio during a 2017-2018 suicide cluster to assess the prevalence of suicidal ideation (SI), suicide attempts (SAs), and associations with potential contagion-promoting factors such as suicide cluster-related social media, vigils, memorials, news articles, and watching the Netflix series 13 Reasons Why before or during the cluster. Generalized estimating equations examined associations between potential contagion-promoting factors and SI/SA, adjusting for nonmodifiable risk factors. Subgroup analyses examined whether associations between cluster-related factors and SI/SA during the cluster varied by previous history of SI/SA. Results Among participating students, 9.0% (876/9,733) reported SI and 4.9% attempted suicide (481/9,733) during the suicide cluster. Among students who posted suicide cluster-related content to social media, 22.9% (267/1,167) reported SI and 15.0% (175/1,167) attempted suicide during the suicide cluster. Posting suicide cluster-related content was associated with both SI (adjusted odds ratio 1.7, 95% confidence interval 1.4-2.0) and SA during the cluster (adjusted odds ratio 1.7, 95% confidence interval 1.2-2.5). In subgroup analyses, seeing suicide cluster-related posts was uniquely associated with increased odds of SI and SA during the cluster among students with no previous history of SI/SA. Conclusions Exposure to suicide cluster-related social media is associated with both SI and SA during a suicide cluster. Suicide interventions could benefit from efforts to mitigate potential negative effects of social media and promote prevention messages.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
6 of 30 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Safe social media guidelines have not yet been widely adopted by the public.
“Although journalists may receive training on safe suicide reporting, safe social media guidelines have yet to be widely adopted by the public [19].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [19] Robinson, 2018, The #chatsafe project. Developing guidelines to help young people communicate safely about suicide on social media: A Delphi study, PLoS One source
The Introduction identifies a lack of evidence-based guidelines for safe communication about suicide on social media. The Discussion says the newly developed #chatsafe guidelines will be implemented through a future campaign. This supports the idea that guidance for the public was not yet established, but the paper does not assess how widely the public had adopted existing guidelines. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Interpretationcitation
Even with the development and adoption of safe social media recommendations, the ways youth discuss suicide on social media may not change.
“Importantly, even with the development and adoption of safe social media recommendations, the ways youth discuss suicide on social media may not change [42].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [42] Robinson, 2017, Developing social media-based suicide prevention messages in partnership with young people: Exploratory study, JMIR Ment Health source
- Findingown data
Among students without prior history of suicidal ideation or suicide attempt, posting suicide cluster-related social media content was associated with increased odds of suicide attempt during the cluster (adjusted odds ratio 2.0, 95% CI 1.3-3.0).
“In subgroup analyses of students without prior history of SI or SA, both SI and SA during the cluster were significantly associated with seeing (SI: AOR 2.0, CI 1.3–3.0; and SA: AOR 1.6, CI 1.1–2.3) and posting (SI: AOR 1.7, CI 1.2–2.4; and SA: AOR 2.0, CI 1.3–3.0) cluster-related social media content (Tables 4 and 5).”
Quote in the paperSubstantial claim - Findingown data
Among students who posted suicide cluster-related content to social media, 15.0% (175/1,167) attempted suicide during the suicide cluster.
“Among students who posted suicide cluster–related content to social media, 22.9% (267/1,167) reported SI and 15.0% (175/1,167) attempted suicide during the suicide cluster.”
- Also stated in: § Results · plain
“Among youth posting about the cluster on social media (n = 1,167), one in five reported SI (22.9%, n = 267) and one in six reported SA during the cluster (15.0%, n = 175).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Seeing suicide cluster-related social media content was associated with increased odds of suicidal ideation during the cluster (adjusted odds ratio 1.3, 95% CI 1.1-1.7).
“seeing (adjusted OR [AOR] 1.3, CI 1.1–1.7) and posting (AOR 1.7, CI 1.4–2.0) suicide cluster–related social media content were significantly associated with SI during the cluster (Table 2).”
- Also stated in: § Discussion · plain
“In general, passive exposure to content (seeing suicide cluster–related posts) was associated with SI but not SAs.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Among students who posted suicide cluster-related content to social media, 22.9% (267/1,167) reported suicidal ideation during the suicide cluster.
“Among students who posted suicide cluster–related content to social media, 22.9% (267/1,167) reported SI and 15.0% (175/1,167) attempted suicide during the suicide cluster.”
- Also stated in: § Results · plain
“Among youth posting about the cluster on social media (n = 1,167), one in five reported SI (22.9%, n = 267) and one in six reported SA during the cluster (15.0%, n = 175).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Among students with previous history of suicidal ideation or suicide attempt, posting suicide cluster-related content was associated with increased odds of suicidal ideation during the cluster (adjusted odds ratio 1.5, 95% CI 1.2-1.8).
“Among students with previous history of SI or SA, only posting suicide cluster–related content was associated with SI (AOR 1.5, CI 1.2–1.8) during the cluster.”
Quote in the paperSubstantial claim - Findingown data
Posting suicide cluster-related content was associated with increased odds of suicide attempt during the cluster (adjusted odds ratio 1.7, 95% CI 1.2-2.5).
“Posting suicide cluster–related content was associated with both SI (adjusted odds ratio 1.7, 95% confidence interval 1.4–2.0) and SA during the cluster (adjusted odds ratio 1.7, 95% confidence interval 1.2–2.5).”
- Also stated in: § Results · plain
“After adjustment, only posting suicide cluster–related social media content (AOR 1.7, CI 1.2–2.5) was associated with increased odds of SA during the cluster (Table 3).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Among students without suicidal ideation during the cluster, 10.2% posted suicide cluster-related content.
“Among students with SI during the cluster (n = 876), 82.0% saw and 30.5% posted suicide cluster–related content. Among students without SI during the cluster (n = 8,857), 66.5% saw and 10.2% posted cluster-related content.”
Quote in the paperNot a substantial claim - Findingown data
Among students without prior history of suicidal ideation or suicide attempt, seeing suicide cluster-related social media content was associated with increased odds of suicidal ideation during the cluster (adjusted odds ratio 2.0, 95% CI 1.3-3.0).
“In subgroup analyses of students without prior history of SI or SA, both SI and SA during the cluster were significantly associated with seeing (SI: AOR 2.0, CI 1.3–3.0; and SA: AOR 1.6, CI 1.1–2.3) and posting (SI: AOR 1.7, CI 1.2–2.4; and SA: AOR 2.0, CI 1.3–3.0) cluster-related social media content (Tables 4 and 5).”
- Also stated in: § Results: · plain
“In subgroup analyses, seeing suicide cluster–related posts was uniquely associated with increased odds of SI and SA during the cluster among students with no previous history of SI/SA.”
Quote in the paperSubstantial claim - Also stated in: § Results: · plain
- Findingown data
Among students with suicidal ideation during the cluster, 82.0% saw suicide cluster-related content.
“Among students with SI during the cluster (n = 876), 82.0% saw and 30.5% posted suicide cluster–related content. Among students without SI during the cluster (n = 8,857), 66.5% saw and 10.2% posted cluster-related content.”
Quote in the paperSubstantial claim - Findingown data
Among students with prior history of suicide attempt, seeing suicide cluster-related news online on a news site was associated with decreased odds of suicide attempt (adjusted odds ratio 0.6, 95% CI 0.4-0.9).
“Seeing suicide cluster–related news online on a news site was associated with decreased odds of SA among students with prior history of SA (AOR .6, CI .4–.9).”
Quote in the paperNot a substantial claim - Findingown data
Overall, 12.0% of students posted suicide cluster-related content on social media.
“Overall, 67.9% of students saw (n = 6,609) and 12.0% of students posted (n = 1,167) suicide cluster–related content on social media (Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Seeing suicide-related online news articles was not associated with suicidal ideation during the cluster after adjustment for sociodemographics, history of suicidality, and social media exposure.
“However, our study found that when adjusted for sociodemographics, history of suicidality, and social media exposure, seeing suicide-related online news articles was not associated with SI and was, in fact, associated with decreased odds of SA during the cluster.”
- Also stated in: § Results · plain
“exposures to memorials, vigils, moments of silence, and online cluster-related news articles were not significantly associated with SI during the cluster.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Among students with previous history of suicide attempt, exposure to vigils or moments of silence for teenagers who died by suicide during the suicide cluster was associated with increased odds of suicide attempt (adjusted odds ratio 1.3, 95% CI 1.01-1.6).
“Exposure to vigils or moments of silence for teenagers who died by suicide during the suicide cluster was associated with increased odds of SA among students with previous history of SA (AOR 1.3, CI 1.01–1.6).”
Quote in the paperSubstantial claim - Findingown data
Among participating students, 9.0% (876/9,733) reported suicidal ideation during the suicide cluster.
“Among participating students, 9.0% (876/9,733) reported SI and 4.9% attempted suicide (481/9,733) during the suicide cluster.”
- Also stated in: § Results · plain
“Overall, 876 students (9.0%) reported SI, and 481 students (4.9%) reported SA during the cluster (Table 1).”
Quote in the paperNot a substantial claim - Also stated in: § Results · plain
- Findingown data
Among students without suicidal ideation during the cluster, 66.5% saw suicide cluster-related content.
“Among students with SI during the cluster (n = 876), 82.0% saw and 30.5% posted suicide cluster–related content. Among students without SI during the cluster (n = 8,857), 66.5% saw and 10.2% posted cluster-related content.”
Quote in the paperNot a substantial claim - Findingown data
Prevalence of both suicidal ideation and suicide attempt during the cluster significantly differed for all cluster-related risk factors, except exposure to vigils or moments of silence and attending a school where a fellow student died by suicide during the cluster.
“Prevalence of both SI and SA during the cluster significantly differed for all cluster-related risk factors, excepting exposure to vigils or moments of silence and attending a school where a fellow student died by suicide during the cluster.”
Quote in the paperSubstantial claim - Findingown data
Overall, 67.9% of students saw suicide cluster-related content on social media.
“Overall, 67.9% of students saw (n = 6,609) and 12.0% of students posted (n = 1,167) suicide cluster–related content on social media (Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Seeing suicide cluster-related social media posts was not associated with suicide attempt during the cluster after adjustment for sociodemographic and other risk factors.
“When adjusted for sociodemographic and other risk factors, exposures to memorials, vigils, moments of silence, watching 13 Reasons Why, or seeing suicide cluster–related social media posts were not associated with SA during the cluster.”
- Also stated in: § Discussion · plain
“In general, passive exposure to content (seeing suicide cluster–related posts) was associated with SI but not SAs.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Among students without prior history of suicidal ideation or suicide attempt, posting suicide cluster-related social media content was associated with increased odds of suicidal ideation during the cluster (adjusted odds ratio 1.7, 95% CI 1.2-2.4).
“In subgroup analyses of students without prior history of SI or SA, both SI and SA during the cluster were significantly associated with seeing (SI: AOR 2.0, CI 1.3–3.0; and SA: AOR 1.6, CI 1.1–2.3) and posting (SI: AOR 1.7, CI 1.2–2.4; and SA: AOR 2.0, CI 1.3–3.0) cluster-related social media content (Tables 4 and 5).”
Quote in the paperSubstantial claim - Findingown data
Among students without prior history of suicidal ideation or suicide attempt, seeing suicide cluster-related social media content was associated with increased odds of suicide attempt during the cluster (adjusted odds ratio 1.6, 95% CI 1.1-2.3).
“In subgroup analyses of students without prior history of SI or SA, both SI and SA during the cluster were significantly associated with seeing (SI: AOR 2.0, CI 1.3–3.0; and SA: AOR 1.6, CI 1.1–2.3) and posting (SI: AOR 1.7, CI 1.2–2.4; and SA: AOR 2.0, CI 1.3–3.0) cluster-related social media content (Tables 4 and 5).”
- Also stated in: § Results: · plain
“In subgroup analyses, seeing suicide cluster–related posts was uniquely associated with increased odds of SI and SA during the cluster among students with no previous history of SI/SA.”
Quote in the paperSubstantial claim - Also stated in: § Results: · plain
- Findingown data
Seeing news related to the suicide cluster online on a news site was associated with decreased odds of suicide attempt during the cluster (adjusted odds ratio 0.8, 95% CI 0.6-0.99).
“Seeing news related to the suicide cluster online on a news site was associated with decreased odds of SA during the cluster (AOR .8, CI .6–.99).”
Quote in the paperNot a substantial claim - Findingown data
Among students with suicidal ideation during the cluster, 30.5% posted suicide cluster-related content.
“Among students with SI during the cluster (n = 876), 82.0% saw and 30.5% posted suicide cluster–related content. Among students without SI during the cluster (n = 8,857), 66.5% saw and 10.2% posted cluster-related content.”
Quote in the paperSubstantial claim - Findingown data
Among participating students, 4.9% (481/9,733) attempted suicide during the suicide cluster.
“Among participating students, 9.0% (876/9,733) reported SI and 4.9% attempted suicide (481/9,733) during the suicide cluster.”
- Also stated in: § Results · plain
“Overall, 876 students (9.0%) reported SI, and 481 students (4.9%) reported SA during the cluster (Table 1).”
Quote in the paperNot a substantial claim - Also stated in: § Results · plain
- Findingown data
Among those who posted suicide cluster-related content to social media, 24.9% reported suicidal ideation or suicide attempt during the cluster.
“Among those who posted suicide cluster–related content to social media, 24.9% reported SI or SA during the cluster (22.9% SI and 15.0% SA).”
Quote in the paperSubstantial claim - Findingown data
Among students without previous history of suicidal ideation, watching 13 Reasons Why during the suicide cluster was associated with increased odds of suicidal ideation (adjusted odds ratio 1.5, 95% CI 1.03-2.1).
“Watching 13 Reasons Why during the suicide cluster was only associated with increased odds of SI for students without previous history of SI (AOR 1.5, CI 1.03–2.1), and students with previous history of SI/SA or students who saw 13 Reasons Why before the suicide cluster did not demonstrate increased odds of SI or SA.”
- Also stated in: § Discussion · plain
“We found associations between viewing the Netflix series 13 Reasons Why during the suicide cluster and SI among students without a previous history of SI.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Posting suicide cluster-related content was associated with increased odds of suicidal ideation during the cluster (adjusted odds ratio 1.7, 95% CI 1.4-2.0).
“Posting suicide cluster–related content was associated with both SI (adjusted odds ratio 1.7, 95% confidence interval 1.4–2.0) and SA during the cluster (adjusted odds ratio 1.7, 95% confidence interval 1.2–2.5).”
- Also stated in: § Results · plain
“seeing (adjusted OR [AOR] 1.3, CI 1.1–1.7) and posting (AOR 1.7, CI 1.4–2.0) suicide cluster–related social media content were significantly associated with SI during the cluster (Table 2).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Watching 13 Reasons Why during the suicide cluster was associated with increased odds of suicidal ideation after adjustment for other factors (adjusted odds ratio 1.4, 95% CI 1.04-1.8).
“Watching 13 Reasons Why during the suicide cluster was associated with increased odds of SI after adjustment for other factors (AOR 1.4, CI 1.04–1.8); precluster exposure to 13 Reasons Why did not demonstrate significant associations with SI during the cluster.”
Quote in the paperSubstantial claim - Findingown data
22% of the excluded participants self-identified as a sexual or gender identity minority.
“For example, 22% of the excluded participants self-identified as a sexual or gender identity minority–a group that traditionally has higher rates of SI/SA than their cisgender, heterosexual peers.”
Quote in the paperNot a substantial claim - Findingown data
Many risk factors traditionally associated with suicide contagion-seeing memorials, online news articles, attending the same school as a decedent-were not associated with suicidal behaviors in this active suicide cluster.
“Our study revealed that many risk factors traditionally associated with suicide contagion–seeing memorials, online news articles, attending the same school as a decedent–were not associated with suicidal behaviors in this active suicide cluster.”
Quote in the paperSubstantial claim - Premisecitation
Previous studies demonstrate correlations between the release of 13 Reasons Why and suicide-related behaviors, such as increased internet queries related to suicide and excess pediatric hospital admissions for suicide attempts.
“This is consistent with previous studies demonstrating correlations between the release of 13 Reasons Why and suicide-related behaviors, such as increased internet queries related to suicide and excess pediatric hospital admissions for SAs [29,30].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationown data
Exposure to suicide cluster-related social media content was associated with significantly increased odds of suicidal ideation or suicide attempt during the cluster compared with students without any suicide cluster-related social media exposure.
“Exposure to suicide cluster–related social media content was associated with significantly increased odds of SI/SA during the cluster when compared with students without any suicide cluster–related social media exposure.”
Quote in the paperSubstantial claim - Interpretationown data
Producing suicide cluster-related content may occur among individuals at higher risk on the spectrum of suicidal behaviors.
“In general, producing suicide cluster–related content may occur among individuals at higher risk on the spectrum of suicidal behaviors.”
Quote in the paperSubstantial claim - Interpretationown data
Suicide clusters may increase attention to and engagement with suicide-related content on social media.
“In our study, over two thirds of students saw posts related to the suicide cluster on social media, suggesting that clusters may increase attention and engagement with suicide-related content on social media.”
Quote in the paperSubstantial claim - Interpretationown data
Vulnerable youths' risk of suicidal behaviors may be compounded by interactions with suicide cluster-related social media.
“Our findings suggest that vulnerable youths’ risk of suicidal behaviors may be compounded by interactions with suicide cluster–related social media.”
Quote in the paperSubstantial claim - Interpretationreasoning
The lack of a statistically significant effect of watching 13 Reasons Why during the suicide cluster among youth with prior history of suicidal ideation or suicide attempt may be due to low numbers and smaller power in that subgroup.
“The fact that we did not detect a statistically significant effect of watching the show during the suicide cluster among those youth with a prior history of SI or SA may be attributable to low numbers and smaller power among this subpopulation, as the AOR trended in the expected direction.”
Quote in the paperNot a substantial claim - Premisecitation
Most studies focus on people who died in suicide clusters.
“In addition, most studies focus on cluster decedents [4,8,20,34].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [4] Gould, 1990, Time-space clustering of teenage suicide, Am J Epidemiol source
- cites [8] Davidson, 1989, An epidemiologic study of risk factors in two teenage suicide clusters, J Am Med Assoc source
- cites [20] Robertson, 2012, An adolescent suicide cluster and the possible role of electronic communication technology, Crisis source
- cites [34] Phillips, 1986, Clustering of teenage suicides after television news stories about suicide, New Engl J Med source
- Study design and conductreasoning
Because of the cross-sectional design, causality cannot be established.
“First, given the cross-sectional design, we cannot establish causality.”
Quote in the paperSubstantial claim - Interpretationreasoning
The timeliness and relevance of information gathered about suicide risk was directly applied to stop transmission of risk in the context of the suicide cluster.
“The timeliness and relevance of information gathered about suicide risk was directly applied to stop transmission of risk in the context of the suicide cluster.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Results may not be generalizable to other suicide clusters.
“Second, results may not be generalizable to other clusters.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The study cannot establish whether social media exposure preceded suicidal ideation or suicide attempt.
“To strengthen conclusions, questions referenced explicit time points where possible, but we cannot establish whether social media exposure preceded SI/SA.”
Quote in the paperSubstantial claim
- Probably not a substantial claim. 24
- It may state two separate claims as one. 7
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationSocial media has been associated with positive outcomes such as reinforcement of healthy behaviors and help-seeking.
“Although excessive social media use has been linked to adverse outcomes like depression and anxiety [39], social media has also been associated with positive outcomes such as reinforcement of healthy behaviors and help-seeking [40].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [40] Powell, 2003, Cross-sectional survey of users of Internet depression communities, BMC Psychiatry source
The Results (Self-perceived effects of communities; page unavailable) report that 36% of respondents who answered the consultation question felt an Internet depression community was an important factor in deciding to seek professional help. The paper does not report reinforcement of healthy behaviors, and its findings concern Internet depression communities rather than social media generally. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationFor some vulnerable youth, online social platforms can be protective, linking otherwise isolated individuals with supportive communities.
“For some vulnerable youth, online social platforms can be protective, linking otherwise isolated individuals with supportive communities [41].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [41] Naslund, 2014, Naturally occurring peer support through social media: The experiences of individuals with severe mental illness using YouTube, PLoS One source
The Results identify minimizing isolation and finding support through peer exchange as themes, and the Conclusion reports peer support among people with severe mental illness using YouTube. But the study concerns adults, not youth specifically, and the Conclusion says whether the platform benefits a wider group remains uncertain; it does not establish a protective effect for vulnerable youth. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
InterpretationcitationSome strategies-policies on how to respond to potentially suicidal users, timeliness of response to suicidal content, and information on where to refer potentially suicidal individuals-may be easily integrated into digital platforms.
“Some strategies–policies on how to respond to potentially suicidal users, timeliness of response to suicidal content, and information on where to refer potentially suicidal individuals–may be easily integrated into digital platforms [16].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] Luxton, 2012, Social media and suicide: A public health perspective, Am J Public Health source
The paper describes Facebook’s suicide-content reporting system, says alerts are purportedly given top priority, and describes connecting reporters with the Samaritans (Abstract, page not provided). Its Conclusions recommend simple reporting methods and easy access to help through social media sites. These passages support platform-based reporting and referral, but do not establish that response policies or specific timeliness requirements can be easily integrated into digital platforms. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationSeveral suicide prevention organizations have already created recommendations for social media.
“Several suicide prevention organizations have already created recommendations for social media [18,19,35]; widely sharing and incorporating these recommendations into social media platforms may save lives.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [18] 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [19] Robinson, 2018, The #chatsafe project. Developing guidelines to help young people communicate safely about suicide on social media: A Delphi study, PLoS One source
The Introduction describes guidelines developed in several countries for responsible reporting of suicide, and the References list guidance on responding to suicidal content online. But the Introduction also identifies a lack of evidence-based guidelines specifically for safe communication about suicide on social media; the paper does not establish that several organizations had already created recommendations for that setting. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [35] Acosta, 2017, Best practices for suicide prevention messaging and evaluating California's "Know the signs" Media Campaign, Crisis source
It may state two separate claims as one.
Findingnone givenWithin weeks of the investigation, local stakeholders used survey results to increase mental health counselors and educators at schools, increase the availability of behavioral health mobile response teams, strengthen cross-system collaboration and improvements to address suicide risk and prevention factors, and expand gatekeeper training in the community.
“Within weeks of the investigation, local stakeholders used survey results to increase mental health counselors and educators at schools, increase the availability of behavioral health mobile response teams, strengthen cross-system collaboration and improvements to address suicide risk and prevention factors, and expand gatekeeper training in the community.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationcitationThe association between seeing online news and decreased odds of suicide attempt may be explained in part by displacement of conventional news sources in favor of social media or viewing news-related content on social media rather than traditional sources, or by adherence by journalists to safe suicide reporting guidelines.
“This may be explained in part by the displacement of conventional news sources in favor of social media or viewing news-related content on social media rather than traditional sources or adherence by journalists to safe suicide reporting guidelines [26].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Twenge, 2018, Trends in US Adolescents’ media use, 1976–2016: The rise of digital media, the decline of TV, and the (near) demise of print, Psychol Popular Media Cult source
Probably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningWithout increased public awareness, user-created posts are likely to include potentially harmful content, such as sensationalized language or information about suicide location and methods.
“Without increased public awareness, the inclusion of potentially harmful content in user-created posts is likely, including sensationalized language or information about suicide location and methods.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationOne mechanism by which news media is theorized to confer risk-differential identification-may be amplified by exposure to peers' social media posts.
“Furthermore, one of the mechanisms by which news media is theorized to confer risk–differential identification–may be amplified by exposure to peers’ social media posts [27].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Stack, 1987, Celebrities and suicide: A taxonomy and analysis, 1948-1983, Am Soc Rev source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationPrevious research demonstrates negative impacts of exposure to traditional media on suicide and suicide clusters.
“Previous research demonstrates the negative impacts of exposure to traditional media on suicide and suicide clusters [6,25].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim.
Study design and conductreasoningA major strength of the study was the use of data from an ongoing suicide cluster.
“A major strength of our study was the use of data from an ongoing suicide cluster.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationDifferential identification holds that social similarity between an individual and a model is an important factor in identification and imitative behavior.
“Differential identification speculates that social similarity between an individual and a “model” (e.g., same age and sex) is an important factor in identification and imitative behavior [28].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Glaser, 1956, Criminality theories and behavioral images, Am J Sociol source
Probably not a substantial claim.
InterpretationreasoningSocial media may heighten differential identification, leading to increased risk of identification and suicidal behaviors in vulnerable individuals.
“Social media may heighten differential identification, conveying subsequent increased risk of identification and suicidal behaviors in vulnerable individuals.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationOne study of youths' exposure to 13 Reasons Why found that most high-risk youth viewed the show alone and did not discuss their reaction with a parent or other adult.
“One study of youths’ exposure to 13 Reasons Why found that the majority of youth at high risk of suicide viewed the show alone and did not discuss their reaction with a parent or other adult [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Hong, 2018, 13 Reasons Why: Viewing patterns and perceived impact among youths at risk of suicide, Psychiatr Serv source
It may state two separate claims as one.
PremisecitationMost studies take place after a cluster concludes, and this is one of the first studies to collect data from an ongoing suicide cluster.
“Most studies take place after a cluster concludes; to the authors’ knowledge, this is one of the first studies to collect data from an ongoing suicide cluster [11,32,33].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [11] Askland, 2003, A public health response to a cluster of suicidal behaviors: Clinical psychiatry, prevention, and community health, J Psychiatr Pract source
- cites [32] Brent, 1989, An outbreak of suicide and suicidal behavior in a high school, J Am Acad Child Adolesc Psychiatry source
- cites [33] Fowler, 2013, Epidemiological investigation of a youth suicide cluster: Delaware 2012, Del Med J
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationMore than half of the viewers in that previous study believed the series increased their suicide risk to a nonzero degree, especially those who strongly identified with the lead female character.
“More than half of this previous study’s viewers believed the series increased their suicide risk to a nonzero degree, particularly those individuals who strongly identified with the lead female character.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Hong, 2018, 13 Reasons Why: Viewing patterns and perceived impact among youths at risk of suicide, Psychiatr Serv source
Probably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningBetter comprehension of social media's influence on suicidal behaviors may prevent suicide.
“Just as improved understanding of traditional media’s effects on suicide contagion led to safer suicide reporting, better comprehension of social media’s influence on suicidal behaviors may prevent suicide.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenThe analyses represent students with nonmissing data from participating public schools in the affected county.
“Our analyses represent students with nonmissing data from participating public schools in the affected county.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationExcessive social media use has been linked to adverse outcomes like depression and anxiety.
“Although excessive social media use has been linked to adverse outcomes like depression and anxiety [39], social media has also been associated with positive outcomes such as reinforcement of healthy behaviors and help-seeking [40].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Woods, 2016, #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem, J Adolesc source
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. It may state two separate claims as one.
InterpretationcitationThe warning signs and response plans outlined in this toolkit may be adopted by online communities and adapted for use by parents and peers.
“The National Suicide Prevention Lifeline developed a toolkit to help digital community managers identify and respond to concerning suicidal content online [36]; the warning signs and response plans outlined in this toolkit may be adopted by online communities and adapted for use by parents and peers.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
InterpretationcitationWidely sharing and incorporating these recommendations into social media platforms may save lives.
“Several suicide prevention organizations have already created recommendations for social media [18,19,35]; widely sharing and incorporating these recommendations into social media platforms may save lives.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationResources developed for parents, providers, and journalists by the American Association of Suicidology promote social media strategies rooted in journalism ethics and suicide prevention.
“Similarly, resources developed for parents, providers, and journalists by the American Association of Suicidology promote social media strategies rooted in journalism ethics and suicide prevention [37,38].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [37] 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [38]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Study design and conductreasoningExclusion of participants with missing data and potential hesitance to participate by youth with higher prevalence of suicidal ideation or suicide attempt may lead to underrepresentation of the true prevalence and associations.
“Third, exclusion of participants with missing data and potential hesitance to participate by youth with higher prevalence of SI/SA may lead to underrepresentation of the true prevalence and associations.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
Study design and conductnone givenRisk factors associated with dying by suicide may differ from risk factors for nonfatal suicidal behaviors in a cluster.
“We analyzed the risk factors for nonfatal suicidal behaviors in a cluster; risk factors associated with dying by suicide may differ.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataThe Northeast Ohio Youth Health Survey assessed passive exposure to vigils or moments of silence using a single question.
“Finally, the Northeast Ohio Youth Health Survey assessed passive exposure to vigils or moments of silence using a single question: “During this school year (2017–2018), have there been any vigils or moments of silence at your school for teenagers who died by suicide?””
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisereasoningAvailable research suggests that both protective and harmful effects of social media are possible.
“Available research suggests that both protective and harmful effects are possible; further research is needed to clarify how social media can be used to better protect and promote youth mental health.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
PremisecitationSocial media provide a valuable resource for suicidal people in need of support, particularly on platforms that offer constructive help and actively avoid normalizing or condoning suicidal behavior.
“Social media provide a valuable resource for suicidal people in need of support, particularly on platforms that offer constructive help and actively avoid normalizing or condoning suicidal behavior [13].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationGatekeeper training on identification and support of people at risk for suicide empowers peers, parents, educators, and community members to monitor and provide assistance.
“Gatekeeper training on identification and support of people at risk for suicide empowers peers, parents, educators, and community members to monitor and provide assistance [43].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Isaac, 2009, Gatekeeper training as a preventative intervention for suicide: A systematic review, Can J Psychiatry Revue canadienne de psychiatrie source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThe National Suicide Prevention Lifeline developed a toolkit to help digital community managers identify and respond to concerning suicidal content online.
“The National Suicide Prevention Lifeline developed a toolkit to help digital community managers identify and respond to concerning suicidal content online [36]; the warning signs and response plans outlined in this toolkit may be adopted by online communities and adapted for use by parents and peers.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
The factors that promote suicide contagion are not well understood, especially with the rise of social media.
“Factors promoting suicide contagion are poorly understood, particularly in the advent of social media.”
The paper relies on this without support.
Most studies focus on people who died in suicide clusters, and little research has involved attempted suicide survivors in a cluster.
“Most studies focus on cluster decedents; very little work has been done with attempted suicide survivors in the context of a cluster.”
The paper relies on this without support.
CDC recommendations for suicide cluster prevention and control have not been updated since social media became widespread.
“Centers for Disease Control and Prevention (CDC) recommendations exist to inform prevention and control of suicide clusters [2] but have not been updated since the advent of social media.”
The paper relies on this without support.
More understanding is needed of the mechanisms in suicide clusters, especially how suicidal behaviors spread.
“Further understanding of the mechanisms involved in clusters is needed–particularly how suicidal behaviors propagate.”
The paper relies on this without support.
This study is the first quantitative study to examine associations between social media and suicidal behaviors in a suicide cluster.
“This is the first quantitative study to examine associations between social media and suicidal behaviors in a suicide cluster.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Online news is described as both unrelated to and associated with suicidal behavior
MinorThe discussion says online news articles were not associated with suicidal behaviors, but the results report a statistically significant association with lower odds of suicide attempts.
“Our study revealed that many risk factors traditionally associated with suicide contagion–seeing memorials, online news articles, attending the same school as a decedent–were not associated with suicidal behaviors in this active suicide cluster.”
“Seeing news related to the suicide cluster online on a news site was associated with decreased odds of SA during the cluster (AOR .8, CI .6–.99).”
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Social Media and Youth Mental Health
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“all participants were asked to rate their psychological distress in two different periods: during the college lockdown and after the lockdown (38).”
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“Only two studies were based on clinical populations [54,55] as the rest of them were performed with vulnerable subjects recruited through social networks [52,58], survey firms [50,51,59,62] or other procedures [53,56,57,60,61].”
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“Memorials for persons who died by suicide often are well intended but can have serious, unintended consequences ( 25 ).”
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“[40], where they suggested that social media are a powerful tool with the capacity to provide protective effects and meaningful interventions for those at risk of suicide as it is accessible, acceptable, and fast with which helpful messages can be transmitted along with its possible harmful effect as containing distre…”
BackgroundSocial Media Contagion of High-Risk Behaviors in Youth
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“The phenomenon may also occur over a wider geographic area due to contact with peers exposed to suicidal behavior not only directly but also through social media [10].”
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Why Suicide? Suicide Propinquity and Adolescent Risk for Suicidal Thoughts and Behaviors
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“This may be particularly critical as the increasing ubiquity of social media serves to amplify the impact and speed with which suicide-related information can be shared and spread (e.g., Swedo et al., 2021).”
BackgroundChai, Z. C., Yi, V. H. J., Yuxuan, T., Shen, L. W., Selvam, P., Saffari, N., Gannon, J. L., & Motevalli, S. (2022) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v12-i7/13974 · Cited by 6
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“…(ADHD) (Barry et al. 2017; Muzi et al. 2021; Nesi et al. 2021b; Boer et al. 2020b) and suicidal behavior (Khalil et al. 2022; Nesi et al. 2021b; Swedo et al. 2021; Dunlop et al. 2011) were assessed in four studies each, and Oppositional Defiant Disorder (ODD) was assessed in just one (Barry et…”
Social Media Usage and Its Effects on the Psychological Health of Adolescents
Perry, J., Devore, S. K., Pellegrino, C., & Salce, A. J. (2023) · NASN School Nurse · doi:10.1177/1942602x231159901 · Cited by 5
Stubbing, J., Franz, P. J., Mou, D., Jaroszewski, A. C., Mair, P., Kessler, D. T., Ray, S., Cao-Silveira, V., Bachman, S., Schuster, S., et al. (2025) · npj Mental Health Research · doi:10.1038/s44184-025-00155-5 · Cited by 4
The #BlueWhaleChallenge and presence of suicidal ideations on Polish-language Twitter
Waszak, P. M., Otręba, M., Zagożdżon, P., Springer, J., & Gmitrowicz, A. (2024) · Advances in Mental Health · doi:10.1080/18387357.2024.2370889 · Cited by 5
“Students who posted such content recorded higher rates of suicidal behaviour, compared to those who did not (Swedo et al., 2021).”
How to Detect and Confront with a Suicide Cluster?
Rezaeian, M. (2024) · مجله علمی دانشگاه علوم پزشکی رفسنجان · doi:10.61186/jrums.22.10.1121 · Cited by 4
Rizwan, B., & Weigle, P. E. (2024) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2024.09.003 · Cited by 7
Arık, E., İNCE, M., KOÇAK, M. C., BİLİŞLİ, Y., KARATAŞ, E. O., Akgün, H., & AŞLAKÇI, F. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1460348 · Cited by 4
Digital Media, Suicide, and Self-Injury
Kruzan, K. P., & Whitlock, J. L. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108976237.018 · Cited by 6
Colpe, L. J., Blair, J. M., Kurikeshu, R., Mack, K. A., Nashelsky, M. B., O’Connor, S. S., Pearson, J. L., Pilkey, D., Warner, M., & Weintraub, B. (2024) · Journal of Safety Research · doi:10.1016/j.jsr.2023.12.005 · Cited by 5
All a-BORG! The Dangerous Drinking Trend Steamrolling Across Social Media and College Campuses
Pratt, N., Madhavan, R., Weigle, P. E., et al. (2023) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000001240 · Cited by 3
Holm, M. E., Østergaard, L. D., Aamund, K., Jørgensen, K., Midtgaard, J., Vinberg, M., & Nordentoft, M. (2024) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2024.2306504 · Cited by 2
Kim, D., Jiang, T., Baek, J. H., Jang, S. H., & Zhu, Y. (2024) · DIGITAL HEALTH · doi:10.1177/20552076241255660 · Cited by 3
Leaune, É., Leclerc, J. B., Fender, R., Notredame, C.-É., Jurek, L., & Poulet, E. (2022) · International Journal of Mental Health · doi:10.1080/00207411.2022.2064176 · Cited by 3
“In the survey of Zimerman et al. (2018), adolescents with severe depressive symptoms were more prone to report increased SI (21.6% vs. 4.7%), while Swedo et al. (2021) reported that adolescents without a previous history of SI showed higher odds of SI during a suicide cluster.”
BackgroundInfluentialSuicide clustering and contagion: The role of the media
Benson, R., McTernan, N., Ryan, F., & Arensman, E. (2021) · Suicidologi/Nytt i suicidologi · doi:10.5617/suicidologi.9306 · Cited by 2
The Influence of Social Media on Adolescent Suicide: Is It All Bad?
Niles, L. L. (2022) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20220906-03 · Cited by 2
Exploring Suicide Factors in Online Discourse: Sentiment and Thematic Analysis of Reddit
Dan, E., Zhu, J., & Jin, R. (2025) · ACM Transactions on the Web · doi:10.1145/3716546 · Cited by 4
“Meanwhile, other studies have highlighted social media’s a bility to provide emotional support during crises, emphasizing that the negative impacts of these platforms can be mitigated through education on safe communication like those of the #chatsafe campaign [24].”
Corzine, A., & Harrison, V. (2023) · Journal of Online Trust and Safety · doi:10.54501/jots.v2i1.145 · Cited by 6
“time span or close geographic proximity, and have been attributed to the Werther effect, colloquially known as suicide contagion (Swedo et al. 2021): the spread of either suicidal ideation or suicide attempts, often linked to media exposure and reporting about the topic (Guidry et al.”
BackgroundSocial Media Contagion, Digital Self-Diagnosis and Youth Mental Health
Hendry, N. A. (2025) · The politics of mental health and illness · doi:10.1007/978-3-031-82861-4_11 · Cited by 1
Lind, M. N., Razi, A., Scholten, H., George, M. J., Choudhury, M. D., Granic, I., Lal, S., Wiśniewski, P., & Allen, N. B. (2025) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.70055 · Cited by 1
Social Media Disclosure of Suicidal Thoughts and Behaviors
Sheehan, L. L. (2026) · Crisis · doi:10.1027/0227-5910/a001047 · Cited by 1
Law, P. C. F., Too, L. S., Hill, N. T. M., Robinson, J., Gould, M. S., Occhipinti, J., Spittal, M. J., Witt, K., Sinyor, M., Till, B., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010343 · Cited by 1
“To the best of our knowledge, only one study to date has examined the relationship between suicide cluster related social media and suicidal behaviours [24].”
BackgroundDeleterious friendship behaviors
Long, T. J., Harrington, R. V., Rowan, C. B., & Schwartz‐Mette, R. A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818872-9.00043-1 · Cited by 2
Training Mental Health Providers to Prevent Teen Suicide Using Evidence-Based Approaches
Clarke, S. B., Ross, A. M., Avina, C., Allerhand, L., & Berk, M. S. (2021) · Springer eBooks · doi:10.1007/978-3-030-82465-5_20
Tian, Y., ZHANG, D., Su, Y., & ZHANG, S. (2022) · Research Square · doi:10.21203/rs.3.rs-1486055/v1
Social Media and Suicide Risk: A Multidimensional Approach
Yiğitoğlu, D., & Özdemir, P. G. (2024) · Van Medical Journal · doi:10.5505/vmj.2024.02418
Goldstein, M. A., & Goldstein, M. C. (2024) · doi:10.1093/med/9780197640739.003.0008
Setiawan, M. D., Kimberly, S., Suharjo, F. A., & Harefa, J. (2024) · International Conference of Science and Information Technology in Smart Administration (ICSINTESA) · doi:10.1109/icsintesa62455.2024.10747816 · Cited by 4
“This phenomenon was also observed by Swedo et al. in 2020 [7] in their study on a suicide cluster case in Ohio.”
InfluentialRolin, D. G., & Mettman, K. M. (2025) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20250224-01
Exploitation of Social Media in Education: Building or Destroying Equality
Sahrona, Lubis, M., & Martado, D. (2024) · Jurnal Ilmiah Sekolah Dasar · doi:10.23887/jisd.v8i4.85692
“Based on the previous research, the adolescent suicide group can be exacerbated by suicide contagion — the spread of suicidal behavior (Hamilton et al., 2021; Swedo et al., 2021).”
Response Surface Analysis of Problematic Social Media Use and Suicidal Behavior in Early AdolescencePreprint
Muela, A., García‐Ormaza, J., Tabares, J. V., Ammendola, E., Sansinenea, E., Machimbarrena, J. M., & Loinaz, I. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5320424
Analysis of suicide-related deaths among children aged 0–14 years in Türkiye
Hösükler, E., & Erkol, Z. Z. (2025) · Journal of Forensic and Legal Medicine · doi:10.1016/j.jflm.2025.102969
Social Media, Health Care, and the Connected Patient
de Oliveira, J. G. R., dos Santos, A. C. S., Askari, M., & Junior, G. B. D. S. (2026) · Springer eBooks · doi:10.1007/978-3-031-89820-4_6
Yamazaki, I., Takahashi, T., Sasayama, D., Morita, H., & Washizuka, S. (2026) · Psychiatry and Clinical Neurosciences Reports · doi:10.1002/pcn5.70323
“31 Suicide prevention demands flexible, case ‐ tailored responses.”
Martín-Calvete, J. M., & Ramírez-Uclés, I. (2026) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-026-01061-0
Salerno, A. E., Hyzer, R. H., Jenkins, M., & Moreno, M. A. (2026) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2026.03.004
Suicide Prevention, Intervention, and Postvention in Children and Adolescents
Hubbard, J., Chibas, J., & Poland, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-29009-1.00038-x
Lawal, O. A., & Sternadori, M. (2026) · Global Perspectives in Communication · doi:10.1093/gpcomm/wpag007
Réseaux sociaux et suicide chez les jeunes
Lamer, A., & Saint-Dizier, C. (2025) · Elsevier eBooks · doi:10.1016/b978-2-294-78794-2.00076-2
Amini, J., Clarissa, S., Zilio, M., Luca, I. D., Baaj, L., Schumacher, A., Sinyor, M., Abi‐Jaoude, E., Anthony, S. J., Campisi, S. C., et al. (2026) · JAACAP Open · doi:10.1016/j.jaacop.2026.09.003
Metadata
- Authors
- Swedo, E. A., Beauregard, J. L., de Fijter, S., Werhan, L., Norris, K., Montgomery, M. P., Rose, E. B., David-Ferdon, C., Massetti, G. M., Hillis, S. D., & Sumner, S. A.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Ohio Department of Health (US)
- Corresponding author
- Swedo, Elizabeth A.
- ORCID
- Venue
- Journal of Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 68
- Issue
- 2
- Pages
- 308-316
- ISSN
- 1054-139X (ISSN-L)
- PMC
- PMC8366066
- OpenAlex
- W3040525252
- Cited by
- 82
- References
- 39
- Citations by year
- 2026: 13 · 2025: 14 · 2024: 22 · 2023: 14 · 2022: 10 · 2021: 9
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Adolescent Health (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Centers for Disease Control and Prevention
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Health › Gun Ownership and Violence Research
- Keywords
- suicide contagion, social media, suicidal ideation, suicide attempts, adolescents, 13 Reasons Why, news exposure, suicide prevention
- MeSH terms
- Adolescent, Cross-Sectional Studies, Humans, Ohio, Risk Factors, Suicide, Attempted, Suicidal Ideation, Social Media
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.
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