A novel coronavirus (SARS-CoV-2), which causes the COVID-19 respiratory illness, emerged in December of 2019 and has since spread globally. The dramatic lifestyle changes and stressors associated ...with this pandemic pose a threat to mental health and have the potential to exacerbate risk factors for suicide. We used autoregressive integrated moving average (ARIMA) models to assess Google Trends data representing searches in the United States for 18 terms related to suicide and known suicide risk factors following the emergence of COVID-19. Although the relative proportion of Google searches for suicide-related queries was lower than predicted during the early pandemic period, searches for the following queries representative of financial difficulty were dramatically elevated: "I lost my job" (226%; 95%CI, 120%-333%), "laid off" (1164%; 95%CI, 395%-1932%), "unemployment" (1238%; 95%CI, 560%-1915%), and "furlough" (5717%; 95%CI, 2769%-8665%). Searches for the Disaster Distress Helpline, which was promoted as a source of help for those impacted by COVID-19, were also remarkably elevated (3021%; 95%CI, 873%-5169%). Google searches for other queries representative of help-seeking and general mental health concerns were moderately elevated. It appears that some indices of suicidality have fallen in the United States in this early stage of the pandemic, but that COVID-19 may have caused an increase in suicide risk factors that could yield long-term increases in suicidality and suicide rates.
During the COVID-19 pandemic, US populations have experienced elevated rates of financial and psychological distress that could lead to increases in suicide rates. Rapid ongoing mental health ...monitoring is critical for early intervention, especially in regions most affected by the pandemic, yet traditional surveillance data are available only after long lags. Novel information on real-time population isolation and concerns stemming from the pandemic's social and economic impacts, via cellular mobility tracking and online search data, are potentially important interim surveillance resources. Using these measures, we employed transfer function model time-series analyses to estimate associations between daily mobility indicators (proportion of cellular devices completely at home and time spent at home) and Google Health Trends search volumes for terms pertaining to economic stress, mental health, and suicide during 2020 and 2021 both nationally and in New York City. During the first pandemic wave in early-spring 2020, over 50% of devices remained completely at home and searches for economic stressors exceeded 60,000 per 10 million. We found large concurrent associations across analyses between declining mobility and increasing searches for economic stressor terms (national proportion of devices at home: cross-correlation coefficient (CC) = 0.6 (p-value <0.001)). Nationally, we also found strong associations between declining mobility and increasing mental health and suicide-related searches (time at home: mood/anxiety CC = 0.53 (<0.001), social stressor CC = 0.51 (<0.001), suicide seeking CC = 0.37 (0.006)). Our findings suggest that pandemic-related isolation coincided with acute economic distress and may be a risk factor for poor mental health and suicidal behavior. These emergent relationships warrant ongoing attention and causal assessment given the potential for long-term psychological impact and suicide death. As US populations continue to face stress, Google search data can be used to identify possible warning signs from real-time changes in distributions of population thought patterns.
Increasing help-seeking and referrals for at-risk individuals by decreasing stigma has been defined as Aspirational Goal 10 in the National Action Alliance for Suicide Prevention's Research ...Prioritization Task Force's 2014 prioritized research agenda. This article reviews the research evidence on the impact of mass media awareness campaigns on reducing stigma and increasing help-seeking. The review will focus on both beneficial and iatrogenic effects of suicide preventive interventions using media campaigns to target the broad public. A further focus is on collaboration between public health professionals and news media in order to reduce the risk of copycat behavior and enhance help-seeking behavior. Examples of multilevel approaches that include both mass media interventions and individual-level approaches to reduce stigma and increase referrals are provided as well. Multilevel suicide prevention programs that combine various approaches seem to provide the most promising results, but much more needs to be learned about the best possible composition of these programs. Major research and practice challenges include the identification of optimal ways to reach vulnerable populations who likely do not benefit from current awareness strategies. Caution is needed in all efforts that aim to reduce the stigma of suicidal ideation, mental illness, and mental health treatment in order to avoid iatrogenic effects. The article concludes with specific suggestions for research questions to help move this line of suicide research and practice forward.
Deaths by suicide, as well as suicidal ideations, plans and attempts, have been increasing in the US for the past two decades. Deployment of effective interventions would require timely, ...geographically well-resolved estimates of suicide activity. In this study, we evaluated the feasibility of a two-step process for predicting suicide mortality: a) generation of hindcasts, mortality estimates for past months for which observational data would not have been available if forecasts were generated in real-time; and b) generation of forecasts with observational data augmented with hindcasts. Calls to crisis hotline services and online queries to the Google search engine for suicide-related terms were used as proxy data sources to generate hindcasts. The primary hindcast model (auto) is an Autoregressive Integrated Moving average model (ARIMA), trained on suicide mortality rates alone. Three regression models augment hindcast estimates from auto with call rates (calls), GHT search rates (ght) and both datasets together (calls_ght). The 4 forecast models used are ARIMA models trained with corresponding hindcast estimates. All models were evaluated against a baseline random walk with drift model. Rolling monthly 6-month ahead forecasts for all 50 states between 2012 and 2020 were generated. Quantile score (QS) was used to assess the quality of the forecast distributions. Median QS for auto was better than baseline (0.114 vs. 0.21. Median QS of augmented models were lower than auto, but not significantly different from each other (Wilcoxon signed-rank test, p > .05). Forecasts from augmented models were also better calibrated. Together, these results provide evidence that proxy data can address delays in release of suicide mortality data and improve forecast quality. An operational forecast system of state-level suicide risk may be feasible with sustained engagement between modelers and public health departments to appraise data sources and methods as well as to continuously evaluate forecast accuracy.
There are no previous studies about the association of childhood bullying behavior with later suicide attempts and completed suicides among both sexes. The aim was to study associations between ...childhood bullying behaviors at age 8 years and suicide attempts and completed suicides up to age 25 years in a large representative population-based birth cohort.
The sample includes 5,302 Finnish children born in 1981. Information about bullying was gathered at age 8 years from self-report, as well as parent and teacher reports. Information about suicide attempts requiring hospital admission and completed suicides was gathered from three different Finnish registries until the study participants were 25 years old. Regression analyses were conducted to determine whether children who experience childhood bullying behaviors are at risk for later suicide attempts and completed suicides after controlling for baseline conduct and depression symptoms.
The association between bullying behavior at age 8 years and later suicide attempts and completed suicides varies by sex. Among boys, frequent bullying and victimization are associated with later suicide attempts and completed suicides but not after controlling for conduct and depression symptoms; frequent victimization among girls is associated with later suicide attempts and completed suicides, even after controlling for conduct and depression symptoms.
When examining childhood bullying behavior as a risk factor for later suicide attempts and completed suicides, each sex has a different risk profile.
Bullying, depression, and suicidality in adolescents Brunstein Klomek, Anat; Marrocco, Frank; Kleinman, Marjorie ...
Journal of the American Academy of Child and Adolescent Psychiatry
46, Številka:
1
Journal Article
Recenzirano
Odprti dostop
To assess the association between bullying behavior and depression, suicidal ideation, and suicide attempts among adolescents.
A self-report survey was completed by 9th- through 12th-grade students ...(n = 2342) in six New York State high schools from 2002 through 2004. Regression analyses were conducted to examine the association between being victimized and bullying others with depression, ideation, and attempts.
Approximately 9% of the sample reported being victimized frequently, and 13% reported bullying others frequently. Frequent exposure to victimization or bullying others was related to high risks of depression, ideation, and suicide attempts compared with adolescents not involved in bullying behavior. Infrequent involvement in bullying behavior also was related to increased risk of depression and suicidality, particularly among girls. The findings indicate that both victims and bullies are at high risk and that the most troubled adolescents are those who are both victims and bullies. Psychopathology was associated with bullying behavior both in and away from school.
Victimization and bullying are potential risk factors for adolescent depression and suicidality. In evaluations of students involved in bullying behavior, it is important to assess depression and suicidality.
Objective:
To review the research addressing the association of suicide and bullying, from childhood to young adulthood, including cross-sectional and longitudinal research findings.
Method:
Relevant ...publications were identified via electronic searches of PsycNet and MEDLINE without date specification, in addition to perusing the reference lists of relevant articles.
Results:
Cross-sectional findings indicate that there is an increased risk of suicidal ideation and (or) suicide attempts associated with bullying behaviour and cyberbullying. The few longitudinal findings available indicate that bullying and peer victimization lead tosuicidality but that this association varies by sex. Discrepancies between the studies available may be due to differences in the studies' participants and methods.
Conclusions:
Bullying and peer victimization constitute more than correlates of suicidality. Future research with long-term follow-up should continue to identify specific causal paths between bullying and suicide.
To evaluate the link between antidepressants and suicidal behavior and ideation (suicidality) in youth, adverse events from pediatric clinical trials were classified in order to identify suicidal ...events. The authors describe the Columbia Classification Algorithm for Suicide Assessment (C-CASA), a standardized suicidal rating system that provided data for the pediatric suicidal risk analysis of antidepressants conducted by the Food and Drug Administration (FDA).
Adverse events (N=427) from 25 pediatric antidepressant clinical trials were systematically identified by pharmaceutical companies. Randomly assigned adverse events were evaluated by three of nine independent expert suicidologists using the Columbia classification algorithm. Reliability of the C-CASA ratings and agreement with pharmaceutical company classification were estimated.
Twenty-six new, possibly suicidal events (behavior and ideation) that were not originally identified by pharmaceutical companies were identified in the C-CASA, and 12 events originally labeled as suicidal by pharmaceutical companies were eliminated, which resulted in a total of 38 discrepant ratings. For the specific label of "suicide attempt," a relatively low level of agreement was observed between the C-CASA and pharmaceutical company ratings, with the C-CASA reporting a 50% reduction in ratings. Thus, although the C-CASA resulted in the identification of more suicidal events overall, fewer events were classified as suicide attempts. Additionally, the C-CASA ratings were highly reliable (intraclass correlation coefficient ICC=0.89).
Utilizing a methodical, anchored approach to categorizing suicidality provides an accurate and comprehensive identification of suicidal events. The FDA's audit of the C-CASA demonstrated excellent transportability of this approach. The Columbia algorithm was used to classify suicidal adverse events in the recent FDA adult antidepressant safety analyses and has also been mandated to be applied to all anticonvulsant trials and other centrally acting agents and nonpsychotropic drugs.
Objective
Crisis Text Line (CTL), the largest provider of text‐based crisis intervention services in the U.S., has answered nearly 7 million conversations since its inception in 2013. The study's ...objective was to assess texter's perceptions of the effectiveness of CTL crisis interventions.
Method
Survey data completed by 85,877 texters linked to volunteer crisis counselor (CC) reports from October 12, 2017, to October 11, 2018 were analyzed. The relationship of several effectiveness measures with texters' demographic and psychosocial characteristics, frequency of CTL usage, and texters' perceptions of engagement with their CCs was examined using a series of logistic regression analyses.
Results
By the end of the text‐based conversation, nearly 90% of suicidal texters reported that the conversation was helpful, and nearly half reported being less suicidal.
Conclusions
Our study offers evidence for CTL's perceived effectiveness. These findings are of critical importance in light of the launch of a nationwide three‐digit number (988) for suicide prevention and mental health crisis supports in the U.S., which will include texting.
We examined the impact of the implementation of Applied Suicide Intervention Skills Training (ASIST) across the National Suicide Prevention Lifeline's national network of crisis hotlines. Data were ...derived from 1,507 monitored calls from 1,410 suicidal individuals to 17 Lifeline centers in 2008–2009. Callers were significantly more likely to feel less depressed, less suicidal, less overwhelmed, and more hopeful by the end of calls handled by ASIST‐trained counselors. Few significant changes in ASIST‐trained counselors' interventions emerged; however, improvements in callers' outcomes were linked to ASIST‐related counselor interventions, including exploring reasons for living and informal support contacts. ASIST training did not yield more comprehensive suicide risk assessments.
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