Prevalence of Suicidality in Adolescents With Newly Diagnosed Focal Epilepsy at Diagnosis and Over the Following 36 Months.

BACKGROUND AND OBJECTIVES: Individuals with epilepsy have increased risk of suicidal ideation (SI) and behaviors when compared with the general population. This relationship has remained largely unexplored in adolescents. We investigated the prevalence of suicidality in adolescents with newly diagnosed focal epilepsy within 4 months of treatment initiation and over the following 36 months. METHODS: This was a post hoc analysis of the enrollment and follow-up data from the Human Epilepsy Project, an international, multi-institutional study that enrolled participants between 2012 and 2017. Participants enrolled were 11-17 years of age within 4 months of treatment initiation for focal epilepsy. We used data from the Columbia Suicide Severity Rating Scale (C-SSRS), administered at enrollment and over the 36-month follow-up period, along with data from medical records. RESULTS: A total of 66 adolescent participants were enrolled and completed the C-SSRS. At enrollment, 14 (21%) had any lifetime SI and 5 (8%) had any lifetime suicidal behaviors (SBs). Over the following 36 months, 6 adolescents reported new onset SI and 5 adolescents reported new onset SB. Thus, the lifetime prevalence of SI within this population increased from 21% to 30% (14-20 adolescents), and the lifetime prevalence of SB increased from 8% to 15% (5-10). DISCUSSION: The prevalence of suicidality in adolescents with newly diagnosed focal epilepsy reported in our study is consistent with previous findings of significant suicidality observed in epilepsy. We identify adolescents as an at-risk population at the time of epilepsy diagnosis and in the following years.

U.S. Army mortality surveillance in active duty soldiers, 2014-2019.

Mortality surveillance is an important activity for capturing information on a population's health. This retrospective surveillance analysis utilizes administrative data sources to describe active duty U.S. Army soldiers who died from 2014 to 2019, and calculate mortality rates, assess trends by category of death, and identify leading causes of death within subpopulations. During the surveillance period, 2,530 soldier deaths were reported. The highest crude mortality rates observed during the 6-year surveillance period were for deaths by suicide, followed by accidental (i.e., unintentional injury) deaths. The crude mortality rates for natural deaths decreased significantly over the 6-year period, by an average of 6% annually. The leading causes of death were suicide by gunshot wound, motor vehicle accidents, suicide by hanging, neoplasms, and cardiovascular events. Significant differences were observed in the leading causes of death in relation to demographic characteristics, which has important implications for the development of focused educational campaigns to improve health behaviors and safe driving habits. Current public health programs to prevent suicide should be evaluated, with new approaches for firearm safety considered.

The long-term changing patterns of suicide mortality in China from 1987 to 2020: continuing urban-rural disparity.

BACKGROUND: Over the past three decades, China has experienced significant changes in urban-rural, gender, and age-specific suicide mortality patterns. This study aimed to investigate the long-term trends in suicide mortality in China from 1987 to 2020. METHODS: Suicide mortality data were obtained from China's National Health Commission. Joinpoint regression analysis was used to examine changes in trends and age-period-cohort modeling to estimate age, period, and cohort effects on suicide mortality from 1987 to 2020. Net drift, local drift, longitudinal age curves, and period relative risks were also calculated. RESULTS: Crude and age-standardized suicide mortality in China showed continuing downward trends from 1987 to 2020, with a more pronounced decrease in rural areas (net drift = -7.07%, p<0.01) compared to urban areas (net drift = -3.41%, p<0.01). The decline curve of urban areas could be divided into three substages. Period and cohort effects were more prominent in rural areas. Suicide risk was highest among individuals aged 20-24 and gradually increased after age 60. Females, particularly those of childbearing age, had higher suicide risk than males, with a reversal observed after age 50. This gender reversal showed distinct patterns in urban and rural areas, with a widening gap in urban areas and a relatively stable gap in rural areas. CONCLUSIONS: Suicide mortality in China has consistently declined over the past three decades. However, disparities in age, gender, and urban-rural settings persist, with new patterns emerging. Targeted suicide prevention programs are urgently needed for high-risk groups, including females of childbearing age and the elderly, and to address the slower decrease and reversing urban-rural gender trends.

The 988 suicide hotline-Lifeline or letdown? A pre-post policy analysis.

Suicide has emerged as an urgent threat in recent years as COVID-19 impaired the health and economic wellbeing of millions of Americans. According to the Centers for Disease Control and Prevention, the impact of COVID-19 and the ongoing opioid epidemic has "taken a mental, emotional, physical, and economic toll on individuals, families, and communities," increasing the need for innovative solutions to prevent suicide on a national scale. The National Suicide Hotline Designation Act of 2020 established 988 as the universal telephone number for suicide prevention and represents a key federal intervention to address this crisis. However, research on 9-8-8's effectiveness is limited, given the Act's recent enactment and implementation at the federal and state levels. This policy analysis investigates how and to what extent the mental health crisis system in Georgia has improved since the implementation of the 2020 Act as well as the implications of state law on population-level mental health outcomes. Georgia is used as a nationally representative case study for two reasons: (1) Georgia had a robust statewide suicide hotline prior to 2020, providing solid infrastructure on which federal expansion of a suicide hotline number could be built, and (2) the conflicting characteristics of Georgia's mental health system represent several different pockets of the U.S., allowing this analysis to apply to a broad range of states and locales. The paper draws on takeaways from Georgia to propose state and national policy recommendations for equitable interventions to prevent and respond to this form of violence.

The Spatio-Temporal Distribution of Suicide-related Emergency Calls in a European City: Age and Gender Patterns, and Neighborhood Influences.

Objective: The aim of this study was to conduct a comprehensive spatio-temporal analysis of suicide-related emergency calls in the city of Valencia (Spain) over a six-year period. To this end we first examined age and gender patterns and, second, the influence of neighborhood characteristics on general and gender-specific spatio-temporal patterns of suicide-related emergency calls. Method: Geocoded data on suicide-related emergency calls between 2017 and 2022 (N = 10,030) were collected from the 112 emergency service in Valencia. Data were aggregated at the census block group level, used as a proxy for neighborhoods, and trimesters were considered as the temporal unit. Two set of analyses were performed: (1) demographic (age and gender) and temporal descriptive analyses and (2) general and gender-specific Bayesian spatio-temporal autoregressive models. Results: Descriptive analyses revealed a higher incidence of suicide-related emergency calls among females and an increase in calls among the 18-23 age group from 2020 onwards. The general spatio-temporal model showed higher levels of suicide-related emergency calls in neighborhoods characterized by lower education levels and population density, and higher residential mobility, aging population, and immigrant concentration. Relevant gender differences were also observed. A seasonal effect was noted, with a peak in calls during spring for females and summer for males. Conclusions: These findings highlight the need for comprehensive mental health targeted interventions and preventive strategies that account for gender-specific disparities, age-related vulnerabilities, and the specific characteristics of neighborhoods.

Suicide and depressive symptoms possible correlates among a sample of Egyptian physicians: observational cross-sectional study (online survey).

BACKGROUND: Compared to other occupations, physicians are more susceptible to depression and suicide. Suicide among physicians in some countries reached up to 1.5- to threefold higher than the general population. However, this rate was not homogenous in all countries. Most of the Egyptian studies were related to the stressful pandemic event, but the actual prevalence of depression among physicians is still under research. To the best of the researcher's knowledge, no other study has been conducted to evaluate the risk of suicide among Egyptian physicians. AIM: The study aimed to screen for depressive symptoms and suicide among Egyptian physicians and to investigate the correlates associated with suicide ideations. METHODS: This cross-sectional survey included Egyptian physicians recruited online by Google Forms. Depressive symptoms were screened using the Beck Depression Scale (BDI-II), while suicidal ideas were assessed using the Suicidal Ideation Attributes Scale (SIDAS). RESULTS: Six hundred sixty Egyptian physicians completed the survey following a two-week pilot study between January 10 and July 16, 2023. The average age was 39.1 years, and 71.4% were married. 49.1% were medical specialists. The median daily working hours were eight, and 27.7% of the physicians attended night shifts. 22.3% had a psychiatric illness, and 34.3% had a chronic disease. Younger and single physicians of both sexes were more prone to suicide risk (p-value = 0.019 and 0.021, respectively). Those with psychiatric or chronic medical disorders had a higher suicidal risk (p-values < 0.001 and 0.004, respectively). Physicians with fewer academic degrees and those who work longer hours or night shifts had more depressive symptoms (p-values < 0.001 and 0.009, respectively). The risk of depression and suicide is almost the same in all medical specialties. The SIDAS suicide score and the Beck depression score revealed a statistically significant association (r = 0.288, p-value < 0.001). CONCLUSION: Suicide risk is higher among younger, single physicians of both sexes, as well as those with psychiatric or chronic medical disorders. More depressive symptoms are seen in physicians who have more extended hours or night shifts and who have fewer academic degrees. Almost all medical specialties carry the same risk of depression and suicide. Longitudinal research is recommended for regular follow-up of suicidal thoughts and depressive symptoms.

The effect of bullying and cyberbullying on predicting suicide risk in adolescent females: The mediating role of depression.

This paper analyzed the role of depression as a mediator in the association between bullying, cyberbullying, and suicide risk in adolescent females. A total of 751 Colombian adolescent females (M= 13.71, SD=1.897), who were administered the Plutchik Suicide Risk Scale, the Beck Depression Inventory, the European Bullying Intervention Project Questionnaire and Cyberbullying. Bullying victimization and aggression and cyberbullying victimization were found to contribute statistically significant effects that explaining 22 % of the variance in depression. The variables of victimization in bullying and cyberbullying and depression explained 64 % of the variance in suicidal risk, and depression mediated the association between victim and aggressor roles in bullying and cyberbullying in predicting suicidal risk, whose total direct and indirect effects are statistically significant. The findings support the role of depression as a mediating variable between bullying and cyberbullying and suicidal risk in female adolescents and highlight the importance of focusing prevention and intervention efforts on risk factors for depression and suicidal behavior in cases of bullying and cyberbullying.

Suicide prevention: reflections on progress over the past decade.

Interest in preventing suicides has increased greatly in recent years. In this Personal View, we consider the general global developments related to suicide prevention that have occurred in the decade since The Lancet Psychiatry was first published in 2014. We then review specific advances during this period, first, in relation to public health initiatives, and second, with regard to clinical developments. Finally, we examine some of the challenges that currently confront individuals and organisations responsible for designing and implementing suicide prevention measures.

Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis.

Objectives: Suicide risk is elevated in lesbian, gay, bisexual, and transgender (LGBT) individuals. Limited data on LGBT status in healthcare systems hinder our understanding of this risk. This study used natural language processing to extract LGBT status and a deep neural network (DNN) to examine suicidal death risk factors among US Veterans. Methods: Data on 8.8 million veterans with visits between 2010 and 2017 was used. A case-control study was performed, and suicide death risk was analyzed by a DNN. Feature impacts and interactions on the outcome were evaluated. Results: The crude suicide mortality rate was higher in LGBT patients. However, after adjusting for over 200 risk and protective factors, known LGBT status was associated with reduced risk compared to LGBT-Unknown status. Among LGBT patients, black, female, married, and older Veterans have a higher risk, while Veterans of various religions have a lower risk. Conclusion: Our results suggest that disclosed LGBT status is not directly associated with an increase suicide death risk, however, other factors (e.g., depression and anxiety caused by stigma) are associated with suicide death risks.

Variations in healthcare utilization for mental health problems prior to suicide by socioeconomic status: a Norwegian register-based population study.

BACKGROUND: Suicide poses a major public health challenge, claiming around 650 lives annually in Norway. There is limited understanding of mental healthcare utilization patterns preceding suicide, particularly relating to socioeconomic status (SES). This study analyzes mental health service use among Norwegian citizens aged 20-64 from 2009 to 2021, emphasizing disparities related to SES. METHODS: This is a population-wide registry-based study. We include mental health consultations with both primary and specialist healthcare services, and investigate patterns of service use regarding educational attainment, employment status and income and compare this to the population in general. All suicides in the period (N = 4731) are included in the study. The aim is to investigate potential discrepancies in service use the year and month preceding suicide, seeking to enhance targeted preventive interventions. RESULTS: Our results show significant variations in healthcare use for mental health problems the last year preceding suicide, according to the components of SES, for both men and women. Those with higher education utilize the mental healthcare services prior to suicide to a higher degree than men and women with high school education or less, whereas employed men and men with high income level have significantly lower mental healthcare usage prior to suicide both the last year and month compared to the non-employed men and men with low-income level. Employed women also had a lower mental healthcare usage, whereas the results regarding income are not significant for women. CONCLUSION: Mental healthcare use prior to suicide varies across the SES components. Notably, the SES groups exhibit heterogeneity, with gendered patterns. Targeted interventions for low consultation rates among employed men, and men with high income and lower education are needed, while women, and men in at-risk groups, such as the non-employed and those with low income, demonstrate higher mental healthcare utilization, warranting comprehensive suicide prevention measures.

Time-varying living arrangements and suicide death in the general population sample: 14-year causal survival analysis via pooled logistic regression.

AIMS: While past research suggested that living arrangements are associated with suicide death, no study has examined the impact of sustained living arrangements and the change in living arrangements. Also, previous survival analysis studies only reported a single hazard ratio (HR), whereas the actual HR may change over time. We aimed to address these limitations using causal inference approaches. METHODS: Multi-point data from a general Japanese population sample were used. Participants reported their living arrangements twice within a 5-year time interval. After that, suicide death, non-suicide death and all-cause mortality were evaluated over 14 years. We used inverse probability weighted pooled logistic regression and cumulative incidence curve, evaluating the association of time-varying living arrangements with suicide death. We also studied non-suicide death and all-cause mortality to contextualize the association. Missing data for covariates were handled using random forest imputation. RESULTS: A total of 86,749 participants were analysed, with a mean age (standard deviation) of 51.7 (7.90) at baseline. Of these, 306 died by suicide during the 14-year follow-up. Persistently living alone was associated with an increased risk of suicide death (risk difference [RD]: 1.1%, 95% confidence interval [CI]: 0.3-2.5%; risk ratio [RR]: 4.00, 95% CI: 1.83-7.41), non-suicide death (RD: 7.8%, 95% CI: 5.2-10.5%; RR: 1.56, 95% CI: 1.38-1.74) and all-cause mortality (RD: 8.7%, 95% CI: 6.2-11.3%; RR: 1.60, 95% CI: 1.42-1.79) at the end of the follow-up. The cumulative incidence curve showed that these associations were consistent throughout the follow-up. Across all types of mortality, the increased risk was smaller for those who started to live with someone and those who transitioned to living alone. The results remained robust in sensitivity analyses. CONCLUSIONS: Individuals who persistently live alone have an increased risk of suicide death as well as non-suicide death and all-cause mortality, whereas this impact is weaker for those who change their living arrangements.

Risk factors and their association network for young adults' suicidality: a cross-sectional study.

BACKGROUND: Understanding the intricate influences of risk factors contributing to suicide among young individuals remains a challenge. The current study employed interpretable machine learning and network analysis to unravel critical suicide-associated factors in Chinese university students. METHODS: A total of 68,071 students were recruited between Sep 2016 and Sep 2020 in China. Students reported their lifetime experiences with suicidal thoughts and behaviors, categorized as suicide ideation (SI), suicide plan (SP), and suicide attempt (SA). We assessed 36 suicide-associated factors including psychopathology, family environment, life events, and stigma. Local interpretations were provided using Shapley additive explanation (SHAP) interaction values, while a mixed graphical model facilitated a global understanding of their interplay. RESULTS: Local explanations based on SHAP interaction values suggested that psychoticism and depression severity emerged as pivotal factors for SI, while paranoid ideation strongly correlated with SP and SA. In addition, childhood neglect significantly predicted SA. Regarding the mixed graphical model, a hierarchical structure emerged, suggesting that family factors preceded proximal psychopathological factors, with abuse and neglect retaining unique effects. Centrality indices derived from the network highlighted the importance of subjective socioeconomic status and education in connecting various risk factors. CONCLUSIONS: The proximity of psychopathological factors to suicidality underscores their significance. The global structures of the network suggested that co-occurring factors influence suicidal behavior in a hierarchical manner. Therefore, prospective prevention strategies should take into account the hierarchical structure and unique trajectories of factors.

Police killings of unarmed Black persons and suicides among Black youth in the US: A national time-series analysis.

INTRODUCTION: Suicide deaths among Black youth in the US have increased rapidly over the past decade. Direct or vicarious racial trauma experienced through exposure to police brutality may underlie these concerning trends. METHODS: We obtained nationally aggregated monthly counts of suicides for non-Hispanic Black and White youth (age ≤ 24 years) and adults (age > 24 years) from the National Mortality Vital Statistics restricted-use data files provided by the Centers for Disease Control and Prevention, from 2013 to 2019. Monthly counts of Black youth suicides constituted our main outcome. We defined our exposure as the monthly counts of police killings of unarmed Black persons over 84 months (2013 to 2019), retrieved from the Mapping Police Violence database. We used ARIMA (AutoRegressive Integrated Moving Average) time-series analyses to examine whether Black youth suicides increased within 0 to 3 months following police killings of unarmed Black persons, controlling for autocorrelation and corresponding series of White youth suicides. RESULTS: Suicides among Black youth increase by ∼1 count three months following an increase in police killings of unarmed Black persons (exposure lag 0 coefficient = 0.16, p > 0.05; exposure lag 1 coefficient = -0.70, p > 0.05; exposure lag 2 coefficient = -0.54, p > 0.05; exposure lag 3 coefficient = 0.95, p < 0.05). The observed increase in suicides concentrates among Black male youth (exposure lag 3 coefficient = 0.88, p < 0.05).

Risk for Suicide and Homicide Peaks at Night: Findings From the National Violent Death Reporting System, 35 States, 2003-2017.

Objective: The Mind after Midnight hypothesis proposes that nocturnal wakefulness increases the risk for dysregulated behaviors. Prior studies highlight a greater risk for suicide at night after adjusting for population wakefulness. How this risk varies hour to hour, differs across subgroups, or applies to other behaviors is unknown.Methods: Data on 78,647 suicides and 50,526 homicides from the National Violent Death Reporting System were combined with population wakefulness data for 2003-2017 from the American Time Use Survey. Hourly incident risk ratios (IRRs) were estimated after adjusting for population wakefulness. Two-way analysis of variances identified significant time-by-subgroup interactions that were quantified in post hoc analyses.Results: Suicide counts peaked at 12:00 PM, while homicide counts peaked at 10:00- 11:00 PM. Adjusting for demographics and population wakefulness revealed a 5-fold greater risk for suicide at 3:00 AM (aIRR: 5.20 [4.74-5.70]) and an 8-fold greater risk for homicide at 2:00 AM (aIRR: 8.04 [6.35-10.2]). Hourly risk for suicide varied by age, ethnicity, blood alcohol level, and current partner conflict. Hourly risk for homicide varied by sex and blood alcohol level.Conclusions: Risk for suicide and homicide is greater at night than expected based on the number of people awake at that time. Nighttime risk was greater among young adults and those intoxicated with alcohol, but not among those with a history of suicidal ideation or attempts. Further research should evaluate mechanisms of risk and confirm these findings at an individual level.

Share of Adult Suicides After Recent Jail Release.

Importance: Although people released from jail have an elevated suicide risk, the potentially large proportion of this population in all adult suicides is unknown. Objective: To estimate what percentage of adults who died by suicide within 1 year or 2 years after jail release could be reached if the jail release triggered community suicide risk screening and prevention efforts. Design, Setting, and Participants: This cohort modeling study used estimates from meta-analyses and jail census counts instead of unit record data. The cohort included all adults who were released from US jails in 2019. Data analysis and calculations were performed between June 2021 and February 2024. Main Outcomes and Measures: The outcomes were percentage of total adult suicides within years 1 and 2 after jail release and associated crude mortality rates (CMRs), standardized mortality ratios (SMRs), and relative risks (RRs) of suicide in incarcerated vs not recently incarcerated adults. Taylor expansion formulas were used to calculate the variances of CMRs, SMRs, and other ratios. Random-effects restricted maximum likelihood meta-analyses were used to estimate suicide SMRs in postrelease years 1 and 2 from 10 jurisdictions. Alternate estimate was computed using the ratio of suicides after release to suicides while incarcerated. Results: Included in the analysis were 2019 estimates for 7 091 897 adults (2.8% of US adult population; 76.7% males and 23.3% females) who were released from incarceration at least once, typically after brief pretrial stays. The RR of suicide was 8.95 (95% CI, 7.21-10.69) within 1 year after jail release and 6.98 (95% CI, 4.21-9.76) across 2 years after release. A total of 27.2% (95% CI, 18.0%-41.7%) of all adult suicide deaths occurred in formerly incarcerated individuals within 2 years of jail release, and 19.9% (95% CI, 16.2%-24.1%) of all adult suicides occurred within 1 year of release (males: 23.3% [95% CI, 20.8%-25.6%]; females: 24.0% [95% CI, 19.7%-36.8%]). The alternate method yielded slightly larger estimates. Another 0.8% of adult suicide deaths occurred during jail stays. Conclusions and Relevance: This cohort modeling study found that adults who were released from incarceration at least once make up a large, concentrated population at greatly elevated risk for death by suicide; therefore, suicide prevention efforts focused on return to the community after jail release could reach many adults within 1 to 2 years of jail release, when suicide is likely to occur. Health systems could develop infrastructure to identify these high-risk adults and provide community-based suicide screening and prevention.

Investigation of the trend and related factors of suicide attempts and suicide deaths in southeast Iran during 2018-2022.

Suicide is a major public health challenge worldwide with an increasing trend. Identifying risk factors for suicide attempts and suicide deaths may help find useful ways to prevent suicide. We aimed to determine the trend and related factors of suicide attempts and suicide deaths in Rafsanjan. This retrospective study included all suicide cases from 2018 to 2022 in Rafsanjan, a city in the southeast of Iran. The information was extracted from the suicide registration system of Rafsanjan University of Medical Sciences. Univariable and multivariable logistics regression models were used to investigate factors affecting suicide death. A total of 2039 cases of suicide, including 1932 cases (94.75%) of suicide attempts and 107 cases (5.25%) of suicide deaths were recorded during the study period. The frequency of suicide deaths and suicide attempts per 100,000 people increased in 2022 compared to 2018 in both genders. In the adjusted model, the odds of suicide deaths in males was 6.48 (95% CI 3.39-12.42) times higher than in females. Also, the odds of suicide deaths in unemployed subjects and housewives were 2.64 (95% CI 1.50-4.67) and 7.45 (95% CI 3.08-18.07) times higher than employed subjects respectively. Finally, people with education less than a diploma had 10.85 (95% CI 1.48-79.54) times higher odds of suicide deaths compared to people with university education. The present research showed that the pattern of suicide has been increasing since 2018, and we may see an upward trend in the coming years, which requires further investigation and preventive measures. Male gender, low education level, unemployment, and being a housewife were associated with the highest frequency of suicide death.