Number of suicides and suicide rates, by sex and age, in England and Wales. Information on conclusion type is provided, along with the proportion of suicides by method and the median registration delay.

This report draws on data from the National Child Mortality Database (NCMD) to identify the common characteristics of children and young people who die by suicide, investigate factors associated with these deaths and pull out recommendations for service providers and policymakers. This report, the second thematic report from the NCMD, looks at deaths that occurred or were reviewed by a child death overview panel between 1st April 2019 and 31st March 2020.

This short report uses 2013 to 2014 National Survey on Drug Use and Health (NSDUH) to assess the prevalence of past year serious thoughts of suicide among young adults aged 18 to 25 by State. Results are shown by State for 2012-2013 and 2013-2014.

Download data on suicides in Massachusetts by demographics and year. This page also includes reporting on military & veteran suicide, and suicides during COVID-19.

Suicide is not only an individual phenomenon, but it is also influenced by social and environmental factors. With the high suicide rate and the abundance of social media data in South Korea, we have studied the potential of this new medium for predicting completed suicide at the population level. We tested two social media variables (suicide-related and dysphoria-related weblog entries) along with classical social, economic and meteorological variables as predictors of suicide over 3 years (2008 through 2010). Both social media variables were powerfully associated with suicide frequency. The suicide variable displayed high variability and was reactive to celebrity suicide events, while the dysphoria variable showed longer secular trends, with lower variability. We interpret these as reflections of social affect and social mood, respectively. In the final multivariate model, the two social media variables, especially the dysphoria variable, displaced two classical economic predictors – consumer price index and unemployment rate. The prediction model developed with the 2-year training data set (2008 through 2009) was validated in the data for 2010 and was robust in a sensitivity analysis controlling for celebrity suicide effects. These results indicate that social media data may be of value in national suicide forecasting and prevention.

This dataset tracks the updates made on the dataset "State Estimates of Past Year Serious Thoughts of Suicide among Young Adults: 2013 and 2014" as a repository for previous versions of the data and metadata.

Abstract copyright UK Data Service and data collection copyright owner. This project explored how young people think about suicide and self-harm. Specifically, it considered how young people's understandings of how distress relating to gender identity or sexuality could lead to suicide. It adopted a discourse analytic approach, understanding that suicidal behaviour becomes possible only insofar as it makes sense. The study also focused on struggles young people may experience around sexuality and gender identity and how these struggles may lead to suicidal behaviour. The research involved 11 focus groups and 13 interviews with participants aged 16-25 years. The fieldwork took place in the North West of England and South Wales. Three focus groups were made up of young people who identify themselves as lesbian, gay, bisexual or transgender (LGB or T). Seven interviewees identified themselves lesbian, gay or bisexual. Further information about the research can be found at the project's web site or ESRC award web page. Main Topics: Youth, suicide, self-harm, sexuality, gender identity, homophobia, identity, gender, sexual orientation, suicide, adolescents, ideation. Purposive selection/case studies Volunteer sample volunteers were invited but specific efforts were made to ensure ethnic diversity and to include a proportion of gay, lesbian, bisexual, and transgender participants Face-to-face interview focus group

This report is the second report under the 2014 NSDUH National First Release Reports. This report presents findings from the 2014 NSDUH on the percentages and numbers of adults aged 18 years old or older in the United States who had serious thoughts of suicide, made a suicide plan, and attempted suicide in the past 12 months. Findings for 2014 are presented for all adults aged 18 or older, young adults aged 18 to 25, adults aged 26 to 49, adults aged 50 or older, and adult males or females aged 18 or older. Trend data for suicidal thoughts and behavior also are presented by comparing estimates in 2014 with estimates in 2008 to 2013. Statistically significant differences are noted among subgroups of adults in 2014 and for differences between estimates in 2014 and those in prior years.

ObjectivesAlthough several studies have reviewed the suicidal risk of antidepressants, the conclusions remain inconsistent. We, therefore, performed a meta-analysis of observational studies to address the association between exposure to antidepressants, especially selective serotonin reuptake inhibitors (SSRIs) and the risk of suicide and suicide attempt in children and adolescents.MethodsMEDLINE and Embase were searched from January 1990 to April 2021. Seventeen cohort and case-control studies were identified that reported suicide or suicide attempt in children and young adults (aged 5–25 years) who were exposed to any antidepressants. We extracted the estimates and corresponding 95% confidence intervals (CIs) from each publication.ResultsThe results showed that antidepressant exposure significantly increased the risk of suicide and suicide attempt when compared with no antidepressant usage among children and adolescents. The pooled relative risk (RR) was 1.38 (95% CI: 1.16–1.64; I2 = 83.1%). Among the antidepressants, SSRI use was associated with an increased risk of suicide and suicide attempt, and the pooled RR was 1.28 (95% CI: 1.09–1.51; I2 = 68.8%). In subgroup analysis, the attempted suicidal risk of antidepressant and SSRI was significantly increased (RR = 1.35, 95% CI: 1.13–1.61; I2 = 86.2% for all antidepressants; and RR = 1.26, 95% CI: 1.06–1.48; I2 = 73.8% for SSRIs), while the completed suicidal risk of antidepressant and SSRI was not statistically significant (RR = 2.32, 95% CI: 0.82–6.53; I2 = 6.28% for all antidepressants; and RR = 1.88, 95% CI: 0.74–4.79; I2 = 52.0% for SSRIs). In addition, the risk of suicide and suicide attempt between SSRIs and other antidepressants was similar (RR 1.13, 95% CI: 0.87–1.46, I2 = 32.4%).ConclusionThe main findings of this meta-analysis provide some evidence that antidepressant exposure seems to have an increased suicidal risk among children and young adults. Since untreated depression remains one of the largest risk factors for suicide and the efficacy of antidepressants is proven, clinicians should evaluate carefully their patients and be cautious with patients at risk to have treatment emergence or worsening of suicidal ideation (TESI/TWOSI) when prescribing antidepressants to children and young patients.

Surveys in other countries suggest that children and adolescents experience high rates of mental health problems, however in Australia there has been no information at a national level about the prevalence of child and adolescent mental health problems. The Child and Adolescent Component of the National Survey of Mental Health and Well-Being is the first survey to investigate the mental health and well-being of children and adolescents at a national level in Australia. It provides an accurate estimate of the prevalence of mental health problems among children and adolescents in Australia. It also provides information about the degree of disability associated with mental health problems and the extent to which children and adolescents are receiving help for their problems. Information was collected from children aged 4-17 and their parents. Children and parents completed questionnaires assessing mental health problems (assessed using the Youth Self-Report and Child Behaviour Checklist) health related quality of life, health-risk behaviour and service utilisation. In addition, parents completed a face-to-face interview (3 modules from the Diagnostic Interview Schedule for Children) designed to identify Depressive Disorder, Attention Deficit/Hyperactivity Disorder and Conduct Disorder. Background variables include age, sex, metro/rural, parents employment/ education/income.

Survey is conducted in odd-numbered years only. 2009 NJ survey data not available.

Ratio: Percent of respondents who answered one or more times to the question: "During the past 12 months, how many times did you actually attempt suicide?"

Definition: Actual suicide attempts among high school students in the 12 months prior to survey, regardless of whether medical attention was required

Data Source: High School Youth Risk Behavior Survey Data, Centers for Disease Control and Prevention, http://nccd.cdc.gov/youthonline/

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

The dataset contains year-, state- and city-wise (cities with over 2 million population) data on the total number and rate of suicides which have happened in India

ObjectiveMany adolescents with non suicidal self injury disorder have suicidal ideation. However, the specific characteristics of adolescents with NSSI-D that contribute to high suicide risk remain unclear. This study observes the association between depressive and anxiety symptoms and suicide risk among adolescents with non suicidal self injury disorder, and explores the mechanism underlying the high risk of suicide in this population.MethodAdolescents with non suicidal self injury disorder and their parents from a psychiatric outpatient clinic were selected to conduct paper questionnaires to measure their sociodemographic conditions. The Mini International Neuropsychiatric Interviews’ Suicidality Module(MINISM) was used to assess suicide risk of participants. The Self-Rating Depression Scale(SDS), Self-Rating Anxiety Scale(SAS), and Piers-Harris Children’s Self-Concept Scale(PHCSS) were used to measure depressive and anxiety symptoms, and self-concept of adolescents with non suicidal self injury disorder. According to the high suicide risk cutoff value of MINISM, the sample was divided into high suicide risk group and non-high suicide risk group. We performed descriptive and correlation statistical and network analysis to study the types of depressive and anxiety symptoms associated with suicide risk and the mechanism underlying suicide risk among non suicidal self injury disorder adolescents.ResultsA total of 112 non suicidal self injury disorder adolescent participants were included in this study. Severe depressive symptoms(OR=8.205, 95%CI=3.454-19.490) and severe anxiety symptoms(OR=3.926, 95%CI=1.613-9.554) are associated with a high risk of suicide. The father’s college/university education(p<0.01) is associated with severe anxiety symptoms, and low self-concept(p<0.01) is associated with severe depressive symptoms. Network analysis suggests the centrality of anxiety symptoms and father’s education level.ConclusionThe results of statistical analysis suggest that severe depressive symptoms are related to the high risk of suicide (based on MINISM) in adolescents with NSSI-D statistical significantly, and anxiety symptoms and low self-concept are associated with depressive symptoms in NSSI-D adolescents. Interventions targeting anxiety symptoms in adolescents with NSSI-D may help reduce their suicide risk.

BackgroundSuicide underreporting undermines accurate public health assessments and resource allocation for suicide prevention. This study aims at synthesizing evidence on suicide underreporting and to estimate a global underreporting rate.MethodsWe conducted a PRISMA-compliant systematic review on suicide underreporting, following a pre-registered protocol. A meta-analytical synthesis was also conducted. Quantitative data from individual studies was extracted to provide an overall global estimate of suicide underreporting (42 studies covering 71 countries out of the initial 770 unique studies, spanning 1900–2021). Most studies used retrospective institutional datasets to estimate underreporting through reclassification of undetermined deaths or comparisons across databases. Demographic and geographic disparities were also examined.ResultsThe 42 studies selected provided some quantitative data on suicide underreporting for general or specific populations. 14 of these studies provided data to be meta-analyzed. The global suicide underreporting rate was estimated to be 17.9% (95% CI: 10.9–28.1%) with large differences between countries with high and low/very low data quality. In this scenario, the last WHO estimates of suicide deaths – corrected for underreporting – would be more than one million (1,000,638; 95% CI: 859,511–1,293,006) and not 727,000 suicides per year. Underreporting was higher in low- and middle-income countries (LMICs) with incomplete death registration systems, such as India and China (34.9%; 95% CI 20.3–53%), while high-income countries exhibited lower rates (11.5%; 95% CI 6.6–19.3%). Contributing factors included stigma, religiosity, limited forensic resources, and inconsistent use of International Classification of Diseases (ICD) codes. Gender and age disparities were notable; Female suicides and those among younger or older individuals were more likely to be misclassified.DiscussionAddressing suicide underreporting requires improving death registration systems globally, particularly in LMICs. Standardizing ICD usage, improving forensic capacity, and reducing stigma are critical steps to ensure accurate data. Heterogeneity, geographical disparities, temporal biases, and invariance of suicide underreporting for countries with low-quality data demand further corroboration of these findings.Systematic Review Registrationhttps://osf.io/9j8dg.

Objective: Low self-esteem among adolescents can be considered a risk factor for suicidal behavior in adolescents. Thus, the purpose of this study is to investigate the association between the existence of a third place and role model on self-esteem among adolescents in Japan, where low self-esteem is prevalent among adolescents.Methods: We analyzed data from the 2016 Adachi Child Health Impact of Living Difficulty (A-CHILD) study, in which a school-based questionnaire was conducted among children in grades 4, 6, and 8 living in Adachi City, Tokyo (N = 1,609). Children self-rated their own levels of self-esteem. Low self-esteem was defined as lower 10 percentile group. The existence of a third place was defined as a place where children spent time after school other than the home or school campus, and role model was defined as having someone, other than a parent, who they looked up to, and these concepts were assessed via questionnaire.Results: Adolescents without a third place and role model accounted for 10.5 and 6.1%, respectively. We found that children who lacked a third place also showed a significant association with low self-esteem (OR: 1.75, 95% confidence interval (CI): 1.09–2.81), and those who lacked a role model were 3.34 times more likely to have lower self-esteem (95% CI: 1.98–5.62).Conclusion: The existence of a third place and a role model may be important to prevent low self-esteem among adolescents in Japan.

Survey data of 1010 participants exploring their internet usage preference and their willingness to be engaged by online professionals if they are in need.AbstractAim: Our study aims to understand youths’ online behavior in terms of disclosing their distress and help seeking. Methods: A cross-sectional telephone-based survey was conducted with 1,010 young people in Hong Kong. Logistic regression analysis was conducted to identify the factors associated with youths who express emotional distress online and the differences among four categories of youths—non-distressed youths (reference group) and three categories of distressed youths (not-seek-help group, sought informal help, and sought formal help groups)—in terms of their help seeking behavior. Results: Those who expressed distress online were associated with a higher lifetime prevalence of suicidal ideation. The active informal help group had a risk profile similar to that of the inactive group, including suicide risk, unsafe sex, and being bullied. The active informal help group tended to express distress online, which indicates that they may be more accessible for professionals to identify. More importantly, approximately 20% of the distressed youths did not seek formal or informal help yet expressed their distress online. Implication: The results of this study indicate that there are opportunities for helping professionals to develop strategic engagement methods using social media to help distressed youths. The depositor provided the file '20170711-based on cyp_final_data (Final data)_T0_mainpaper_VAR' in SAV format. DANS added the POR and DTA format of this file to ensure preservation and accessibility.

Unprecedented increases in risks of depressive disorders and resultant suicide have become the overarching menace for children/adolescent health. Despite global consensus to instigate psychological healthcare policy for them, their effects remain largely unclear neither from a small amount of official data nor from small-scale scientific studies. More importantly, in those underprivileged children/adolescents at lower-middle-economic-status countries/areas, the data collection may be not equally accessible as same as developed ones, thus resulting in underrepresented observations. To address these challenges, we released a living large-scale cohort dataset showing effects of primary psychological healthcare on decreasing depression and suicide ideation in underprivileged conditions, including unattended children/adolescents, orphan, children/adolescents in especially difficult circumstance, “left-behind” and “single-parenting” children/adolescents.

This county geography dataset contains eight selected 2011-2015 health outcome rates calculated at the county geography for all of the counties in Colorado: (Asthma Hospitalizations, Diabetes Hospitalizations, Heart Disease Mortality, Influenza Hospitalizations, Low Weight Birth, Motor Vehicle Accident Mortality, Suicide Mortality, and Teen Fertility). The rates contained in this dataset represent 2011-2015 5-Year Averages and include the 95% confidence interval for each county rate as well as the Colorado state average. Published rates that have large confidence intervals should be interpreted with caution. This dataset is assembled and maintained annually by the Colorado Department of Public Health and Environment.

This county geography dataset contains 2015-2019 5-Year rates calculated at the county geography for the following health outcomes: (Asthma Hospitalizations, Diabetes Hospitalizations, Drug Overdose Mortality, Heart Disease Mortality, Influenza Hospitalizations, Low Weight Birth, Motor Vehicle Accident Mortality, Suicide Mortality, and Teen Fertility). The rates contained in this dataset represent 2015-2019 5-Year Averages and include the 95% confidence interval for each county rate as well as the Colorado state average. Published rates that have large confidence intervals should be interpreted with caution. This dataset is assembled and maintained annually by the Colorado Department of Public Health and Environment.

The datasets contains year- and gender-wise historical data on the number of suicides which have happened in India by types of causes such as Bankruptcy or Indebtedness, Divorce, Non-Settlement of Marriage, Dowry, Extra Marital affairs, Drug Abuse/Alcoholic Addiction, Failure in Examination, Impotency/Infertility, AIDS/STD, Insanity/Mental illness, Ideological Causes/Hero Worshipping, Family Problems, Death of Dear Person, Other Prolonged Illness, Cancer, Paralysis, Fall in Social Reputation, Love Affairs, Unemployment, Poverty, Property Dispute Other Causes, Suspected/ Illicit Relation (Other than Extra Marital Affairs), Physical Abuse (Rape, etc.), Illegitimate Pregnancy (Other than Extra Marital Affairs), Professional/Career Problem, Causes Not Known, Bankruptcy or sudden change in economic status, Suspected / Illicit relation, Not having children(barrenness/impotency), Illegitimate Pregnancy, etc.