Suicide in young people: screening, risk assessment, and intervention

Suicide risk among young people who use drugs in Hanoi, Vietnam: Prevalence and related factors

AIM

Adolescents and young adults are vulnerable to suicidality, especially those at high risk such as young people who use drugs (YPUD). This study aimed to assess the prevalence and related factors of suicide risk among this population.

METHODS

We conducted a descriptive, cross-sectional study on YPUD aged 16-24 in the community in Hanoi, Vietnam. Data on socio-demographic characteristics, drug use, and adverse childhood experiences were collected using face-to-face questionnaires by research assistants. YPUD were screened by psychiatrists for depression, psychotic symptoms, and suicide risk, using the MINI questionnaire.

RESULTS

Three hundred-seven YPUD (250 males, 57 females) participated in the study; of those, 86 (28.0%) were at risk of suicide. Gender (female), adverse childhood experiences, depression, and psychosis were relevant factors.

CONCLUSION

The prevalence of suicide risk among young people using drugs was high. Therefore, suicide risk should be screened and monitored in the clinical assessment of this population. In addition, the intervention efforts to detect and intervene in adverse events during childhood may be one way to prevent mental health and suicide in later life.

Characteristics Associated With Mental Health Treatment Prior to Suicide Among Youth in the United States

OBJECTIVE

To examine individual and contextual characteristics associated with receipt of mental health treatment prior to youth suicide.

METHOD

Data from the US National Violent Death Reporting System, Area Health Resource File, and Social Vulnerability Index were used to examine characteristics associated with receipt of mental health treatment within 2 months before death among youth suicide decedents aged 5 to 17 years from 2013 to 2020 (N = 6,229). The association between individual (demographic, precipitating circumstances, and clinical characteristics) and contextual-level variables (county health resources, Social Vulnerability Index) and mental health service use was modeled using logistic regression.

RESULTS

Mental health treatment was received by 31.6% of youth suicide decedents (n = 1,967) in the 2 months before suicide. Male individuals and youth from all racial and ethnic minority groups were less likely to receive mental health treatment in the 2 months prior to suicide, as were youth residing in non-metropolitan counties and living in counties characterized by high compared to low levels of social vulnerability. A history of family problems, a recent crisis, criminal/legal problems, and suicidal thoughts and attempts were associated with increased odds of receiving mental health services.

CONCLUSION

Youth suicide decedents who were male, members of a racial or ethnic minority group, and residing in counties that are non-metropolitan and/or socially disadvantaged were less likely to have received mental health services in the months prior to death. Suicide prevention efforts that focus on improving access to care are essential for these vulnerable populations at risk for suicide.

Advances in the management of bipolar disorder in children and adolescents: an update on the literature

INTRODUCTION

Early diagnosis and treatment concerning bipolar disorder (BD) are related to a better functioning over the long-term period. Although pharmacotherapy is indicated for approximately all youths with BD, nearly one-third of patients do not receive adequate medications for their condition.

AREAS COVERED

The authors discuss the available scientific evidence from the current literature about the management of BD in both children and adolescents, giving particular focus to the efficacy and tolerability of the available pharmacological agents. Studies were identified searching MEDLINE and retrieved from reference listings of relevant articles and through consultation with experts in the field.

EXPERT OPINION

Many D2-blockers, approved by the Food and Drug Administration (FDA) based on their antimanic properties in youths, are related to both short- and long-term side effects. Lurasidone was found to be effective for the treatment of acute juvenile bipolar depression, while lithium for the treatment and recurrence prevention of manic/mixed episodes. The most common anticonvulsants were found to be most useful as adjunctive antimanic agents in non-responders to first-line monotherapies. No data was found to support the use of antidepressants in juvenile BD.

Pathways and transitions for patients admitted to an emergency department after self-harming events

The frequency of people presented in emergency departments (EDs) after self-harming events is increasing. Previous studies have shown that the complexity of the disorders of patients admitted to the ED after self-harming events can be overwhelming for ED healthcare professionals (HCPs) to handle. The objective of this study was to observe and investigate the pathways for patients admitted to the ED after self-harming events to either transition or discharge. Participant observation and interviews were selected as the methods to generate insight into the pathways of patients admitted to the ED after self-harming events. The data were analysed using interpretative phenomenological analysis. A sample size of 20 patients was analysed, and a total of 213 h of observation took place during the data collection. Three main themes appeared: (1) patients' mental stress versus high expectations, (2) uncertainty about how to address the self-harming event and (3) a system of chaos. Patients admitted to the ED after self-harming events struggle with difficult mental stress. Despite this, they face high expectations that they will fit in and cooperate in the ED. The healthcare system is organised with unclear responsibilities and without systematic ways to care for self-harm patients and so provides chaotic patient pathways. There is a need for improved cross-sectional competencies, mutual agreements and systematic communication for discharge, transitions and follow-up care between those involved in the patient's pathway and care.

Study protocol for the Multimodal Approach to Preventing Suicide in Schools (MAPSS) project: A regionally based feasibility trial of an integrated response to suicide risk among UK secondary school pupils

BACKGROUND

Suicide is the leading cause of death of children and young people under 35 in the UK, and suicide rates are rising in this age group. Schools are considered an appropriate and logical setting for youth suicide prevention activities, with universal, selective, and indicated approaches all demonstrating efficacy. Given that international best practice recommends suicide prevention programmes combine these approaches, and that to date this has not been done in school settings in the UK, this study aims to evaluate the feasibility of delivering a suicide prevention programme incorporating universal, selective, and indicated components in UK schools.

METHODS

This study is a feasibility cluster-randomised controlled trial (RCT) of an adapted version of the Multimodal Approach to Preventing Suicide in Schools (MAPSS) programme. The programme, initially developed in Australia, involves delivering universal psychoeducation to all pupils, screening them for suicide risk, and delivering Internet-based Cognitive Behavioural Therapy (Reframe IT-UK) to those students identified as being at high-risk for suicide. The programme will be trialled in six secondary schools in Northwest England and will target Year 10 students (14- and 15-year-olds). The primary aims are to assess: 1) the acceptability and safety of delivering MAPSS in a school setting in the UK; 2) the social validity of the MAPSS programme; and 3) the feasibility of delivering a large-scale, appropriately powered, cluster-RCT and economic evaluation of this intervention in the future. Secondary aims are to assess changes over time in mental health and wellbeing outcomes.

DISCUSSION

This study is the first to evaluate a suicide prevention programme comprising universal, selective, and indicated components in UK schools. If the programme is found to be feasible, it could be more widely tested in schools and may ultimately lead to reduced rates of suicide and suicidal behaviour in young people.

A Scoping Review of Digital-Based Intervention for Reducing Risk of Suicide Among Adults

Suicide is a serious public health problem, especially among adults. Risk factors for suicide include the presence of mental health disorders, history of previous suicide attempts; substance or alcohol use and lack of social support. The impact of suicide risk includes psychological loss, as well as the trauma and emotional stress that can be felt by the families and communities left behind. Digital interventions have emerged as a promising alternative for suicide risk prevention. Previous research has focused on the findings of various designs, which did not provide clear intervention information to inform the implementation of the intervention. This study aims to describe a digital intervention to reduce the risk of suicidal behavior in adults. The design used in this study was a scoping review. The authors conducted a literature search from the Scopus, PubMed, and CINAHL databases. Inclusion criteria in this study were articles discussing digital interventions aimed at preventing suicide risk in adult populations, English language, full-text, RCT or quasi-experiment design, and publication period of the last 10 years (2014-2024). The major keywords used in the article search were suicide prevention, digital intervention, and adults. Data extraction used manual table and data analysis used descriptive qualitative with a content approach. The results showed that there were 9 articles that discussed digital-based interventions to reduce suicide risk in adults. The various types of digital interventions used were smartphone apps, online learning modules, and game-based interventions. These interventions offer significant potential in reducing the risk of suicidal behavior in adults. Digital interventions have an important role in reducing the risk of suicidal behavior in adults by considering aspects of suitability to individual needs and understanding digital literacy. Then, the development of mental health services and public health policies presented needs to be done with collaboration between stakeholders in suicide prevention efforts.

Characteristics of drug overdose suicide attempts presenting to the psychiatric emergency department of Beijing Anding Hospital

BACKGROUND

Overdose-related suicide attempts represent a significant portion of self-harm presentations in the psychiatric emergency department (ED). Identifying specific patient characteristics associated with these attempts holds promise for pinpointing drug classes with elevated risk and paving the way for tailored suicide prevention interventions. This study aims to examine the demographic profiles of ED patients who had experienced overdose-related suicide attempts.

METHODS

This retrospective study was conducted at Beijing Anding Hospital, Capital Medical University, from January 2020 to December 2021. Patients with psychiatric drug overdose suicide attempts presenting to the psychiatric ED were included. Sociodemographic characteristics and the specific classes of drugs involved were collected, and analysed descriptively.

RESULTS

This study examined 252 overdose patients, excluding 51 patients treated with alcohol or nonpsychiatric drugs, and a total 201 cases were included. The mean age of the patients was 28 ± 16 years (median 23, range 12-78), and 82% (n = 165) of the sample were females. Notably, nearly half (45%) of the patients were aged ≤ 20 years. While the number of cases decreased with increasing age, a significant increase was observed in 2021 compared to 2020. Benzodiazepines (BZDs) were the most frequently implicated substance class (n = 126, 63%), followed by antidepressants (n = 96, 48%), antipsychotics (n = 44, 22%), Z-drugs (n = 43, 21%), and mood stabilizers (n = 36, 18%). For adolescents, antidepressants (n = 52, 71%) overtook BZDs (n = 38, 52%) as the most common drug. The monthly distribution of cases revealed peaks in April and November. Furthermore, 21% (n = 42) of patients ingested more than two psychotropic medications concurrently. Finally, approximately half (n = 92) of the patients required inpatient admission for further treatment. Comparisons between hospitalized and nonhospitalized patients did not reveal any significant differences.

CONCLUSIONS

The present study revealed a greater prevalence of suicide overdose attempts among young females receiving prescriptions for antidepressants and/or BZDs. This finding suggests a potential need for enhanced monitoring of suicidal behaviour in this specific population when prescribing psychotropic medications. These findings contribute to the growing body of knowledge regarding drug overdose suicide attempts in psychiatric emergency settings and underscore the importance of further research to develop targeted prevention interventions.

The role of Theory of Mind in the transition towards suicidal attempts in youth NSSI: an exploratory pilot study

Non-suicidal self-injury (NSSI) can both precede and co-occur with suicidal attempts (SA). Underlying mechanisms/factors leading to the transition to SA in NSSI youths have been proposed (including the role of social cognition), despite they should be yet confirmed. Therefore, the study aims at exploring the role of the Theory of Mind in the differentiation of a sample of NSSI youngsters (aged 15-24) according to the presence of SA. We divided the sample into 4 groups using the Deliberate Self Harm Inventory (DSHI) and Columbia Suicide Severity Rating Scale (C-SSRS): control group (notNSSInotSA), NSSI without SA (NSSInotSA), NSSI with SA (NSSIplusSA), and SA without NSSI (SAonly). NSSIplusSA patients displayed higher Reading the Mind in the Eyes Test (RMET) scores (indicative of ToM abilities) than both the NSSInotSA (p=0.0016) and SAonly groups (p=0.0198), while SAonly patients showed lower RMET scores compared to the control group (p=0.0214). Multiple regression models used to differentiate NSSInotSA and NSSIplusSA found a significant association between RMET and LOSCS-CSC (Level Of Self-Criticism Scale-Comparative Self-Criticism) (pC=0.0802, pD=0.0016, pG=0.0053). Our findings supported the hypothesis that a hypertrophic affective ToM may possibly be associated with the occurrence of SA in youth NSSI. Further larger and longitudinal studies should confirm these preliminary findings, by exploring all social cognition dimensions.

Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies

OBJECTIVE

Suicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) could enhance the prediction of suicide attempts.

METHOD

A systematic review was performed using PubMed, Scopus, Web of Science and SID databases. We aim to evaluate the performance of ML algorithms and summarize their effects, gather relevant and reliable information to synthesize existing evidence, identify knowledge gaps, and provide a comprehensive list of the suicide risk factors using mixed method approach.

RESULTS

Forty-one studies published between 2011 and 2022, which matched inclusion criteria, were chosen as suitable. We included studies aimed at predicting the suicide risk by machine learning algorithms except natural language processing (NLP) and image processing. The neural network (NN) algorithm exhibited the lowest accuracy at 0.70, whereas the random forest demonstrated the highest accuracy, reaching 0.94. The study assessed the COX and random forest models and observed a minimum area under the curve (AUC) value of 0.54. In contrast, the XGBoost classifier yielded the highest AUC value, reaching 0.97. These specific AUC values emphasize the algorithm-specific performance in capturing the trade-off between sensitivity and specificity for suicide risk prediction. Furthermore, our investigation identified several common suicide risk factors, including age, gender, substance abuse, depression, anxiety, alcohol consumption, marital status, income, education, and occupation. This comprehensive analysis contributes valuable insights into the multifaceted nature of suicide risk, providing a foundation for targeted preventive strategies and intervention efforts.

CONCLUSIONS

The effectiveness of ML algorithms and their application in predicting suicide risk has been controversial. There is a need for more studies on these algorithms in clinical settings, and the related ethical concerns require further clarification.

Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study

BACKGROUND

Suicide is the second-leading cause of death among adolescents and is associated with clusters of suicides. Despite numerous studies on this preventable cause of death, the focus has primarily been on single nations and traditional statistical methods.

OBJECTIVE

This study aims to develop a predictive model for adolescent suicidal thinking using multinational data sets and machine learning (ML).

METHODS

We used data from the Korea Youth Risk Behavior Web-based Survey with 566,875 adolescents aged between 13 and 18 years and conducted external validation using the Youth Risk Behavior Survey with 103,874 adolescents and Norway's University National General Survey with 19,574 adolescents. Several tree-based ML models were developed, and feature importance and Shapley additive explanations values were analyzed to identify risk factors for adolescent suicidal thinking.

RESULTS

When trained on the Korea Youth Risk Behavior Web-based Survey data from South Korea with a 95% CI, the XGBoost model reported an area under the receiver operating characteristic (AUROC) curve of 90.06% (95% CI 89.97-90.16), displaying superior performance compared to other models. For external validation using the Youth Risk Behavior Survey data from the United States and the University National General Survey from Norway, the XGBoost model achieved AUROCs of 83.09% and 81.27%, respectively. Across all data sets, XGBoost consistently outperformed the other models with the highest AUROC score, and was selected as the optimal model. In terms of predictors of suicidal thinking, feelings of sadness and despair were the most influential, accounting for 57.4% of the impact, followed by stress status at 19.8%. This was followed by age (5.7%), household income (4%), academic achievement (3.4%), sex (2.1%), and others, which contributed less than 2% each.

CONCLUSIONS

This study used ML by integrating diverse data sets from 3 countries to address adolescent suicide. The findings highlight the important role of emotional health indicators in predicting suicidal thinking among adolescents. Specifically, sadness and despair were identified as the most significant predictors, followed by stressful conditions and age. These findings emphasize the critical need for early diagnosis and prevention of mental health issues during adolescence.

Anxiety and depression symptoms in adolescents and young adults with juvenile idiopathic arthritis: results of an outpatient screening

BACKGROUND

Previous studies have shown that growing up with rheumatic conditions can fuel dissatisfaction and psychological distress, which in turn affects disease self-management and treatment adherence. Primary objective of this study was to estimate the prevalence of anxiety and depression symptoms in adolescents and young adults (AYA) with juvenile idiopathic arthritis (JIA) and to identify correlates of conspicuous screening results.

METHODS

Initiated as part of the COACH multicenter observational study, outpatients aged 12 to 21 years participating in the National Pediatric Rheumatological Database (NPRD) were prospectively screened for mental health using the Patient Health Questionnaire-9 (PHQ-9) and the Generalised Anxiety Disorder Scale-7 (GAD-7).

RESULTS

Data from 1,150 adolescents with JIA (mean age 15.6 ± 2.2 years; mean disease duration 7.2 ± 4.9 years, 69% female, 43% oligoarthritis, 26% polyarthritis) were analysed. Overall, 32.7% (n = 316) of AYA showed conspicuous screening results, of whom 30.4% reported clinically relevant suicidal or self-harm thoughts. About 19% of screened patients showed moderate to severe depressive or anxious symptoms. AYA with conspicuous screening results were older (15.8 vs. 15.2 years; p < 0.0001), more often female (81% vs. 64%; p < 0.0001) and more often overweight (25% vs. 17%; p = 0.006). They had higher disease activity (physician global assessment on NRS 0-10; 1.7 vs. 1.2; p < 0.0001), more functional limitations (CHAQ; 0.44 vs. 0.14; <0.0001) and rated their health status worse (NRS 0-10; 3.5 vs. 1.8; p < 0.0001) than AYA with inconspicuous screening results. Females (OR 2.33 [CI 1.53-3.56]; p < 0.0001), older age (OR 1.09 [CI 1.01-1.18]; p = 0.026), patients with more functional limitations (OR 3.36 [CI 1.98-5.72]; p < 0.0001), and patients with worse subjective health status (OR 1.17 [CI 1.07-1.27]; p < 0.0001) were more likely to have a conspicuous screening result. Regular sports participation was associated with a lower likelihood of conspicuous screening result (OR 0.69 [CI 0.49-0.98]; p = 0.039).

CONCLUSIONS

A large-scale outpatient screening of AYA with JIA in Germany shows a high prevalence of anxiety and depression symptoms. The need for routine screening for early detection of mental health problems became apparent.

Exploration of the potential association between GLP-1 receptor agonists and suicidal or self-injurious behaviors: a pharmacovigilance study based on the FDA Adverse Event Reporting System database

BACKGROUND

Establishing whether there is a potential relationship between glucagon-like peptide 1 receptor agonists (GLP-1RAs) and suicidal or self-injurious behaviors (SSIBs) is crucial for public safety. This study investigated the potential association between GLP-1RAs and SSIBs by exploring the FDA Adverse Event Reporting System (FAERS) database.

METHODS

A disproportionality analysis was conducted using post-marketing data from the FAERS repository (2018 Q1 to 2022 Q4). SSIB cases associated with GLP-1RAs were identified and analyzed through disproportionality analysis using the information component. The parametric distribution with a goodness-of-fit test was employed to analyze the time-to-onset, and the Ω shrinkage was used to evaluate the potential effect of co-medication on the occurrence of SSIBs.

RESULTS

In total, 204 cases of SSIBs associated with GLP-1RAs, including semaglutide, liraglutide, dulaglutide, exenatide, and albiglutide, were identified in the FAERS database. Time-of-onset analysis revealed no consistent mechanism for the latency of SSIBs in patients receiving GLP-1RAs. The disproportionality analysis did not indicate an association between GLP-1RAs and SSIBs. Co-medication analysis revealed 81 cases with antidepressants, antipsychotics, and benzodiazepines, which may be proxies of mental health comorbidities.

CONCLUSIONS

We found no signal of disproportionate reporting of an association between GLP-1RA use and SSIBs. Clinicians need to maintain heightened vigilance on patients premedicated with neuropsychotropic drugs. This contributes to the greater acceptance of GLP-1RAs in patients with type 2 diabetes mellitus or obesity.

Characterizing Measurement-Based Care in the Texas Youth Depression and Suicide Research Network (TX-YDSRN)

Integration of measurement-based care (MBC) into clinical practice has shown promise in improving treatment outcomes for depression. Yet, without a gold standard measure of MBC, assessing fidelity to the MBC model across various clinical settings is difficult. A central goal of the Texas Youth Depression and Suicide Research Network (TX-YDSRN) was to characterize MBC across the state of Texas through the development of a standardized tool to assess the use of MBC strategies when assessing depression, anxiety, side effects, and treatment adherence. A chart review of clinical visits indicated standardized depression measures (71.2%) and anxiety measures (64%) were being utilized across sites. The use of standardized measures to assess medication adherence and side effects was limited to less than six percent for both, with the majority utilizing clinical interviews to assess adherence and side effects; yet medication was changed in nearly half. Rates of utilization of standardized measures for participants with multiple MBC forms were similar to those who only provided one form.

Measurement Choices for Youth Suicidality

Suicide is among the leading causes of death among individuals ages 10-24, making suicidal thoughts and behaviors (STBs) a serious public health crisis among youth. Suicide risk screening and assessment are vital to addressing this public health crisis. In fact, many youths that screen positive for suicidal ideation do not have known mental health concerns and would have been missed if not asked directly. Medical settings are an optimal setting to detect suicidality early and provide appropriate follow-up monitoring and care as needed. To support effective and efficient screening and assessment of suicidal thoughts and behaviors, providers must choose measures with both strong psychometric properties and clinical utility. While measurement of STBs can vary across health settings, suicide risk screening and assessment typically involves gathering information about current suicidal ideation, suicidal behaviors, and suicidal plans via self-report questionnaires, clinical interviews, and/or computerized adaptive screens. In alignment with measurement-based care efforts, the current manuscript will provide a scoping review of measures of youth suicidal ideation, behavior, plans, and their risk factors. Specifically, the psychometric properties, clinical utility, and other key considerations for screening and assessment of adolescent suicide risk are discussed.

Trends in Suicidal Mortality and Motives among Working-Ages Individuals in Japan during 2007-2022

Suicides in Japan consistently decreased from 2009-2019, but increased during the COVID-19 pandemic. To identify causes of increasing suicides, age-dependent and temporal fluctuations of suicide mortality rate per 100,000 (SMRP) in working-age generations (20-59 years) disaggregated by suicidal motives (7-categories; 52-subcategories) and sex from 2007 to 2022, were analyzed by analysis of variance and joinpoint regression, respectively, using the government suicide database "Suicide Statistics". The SMRP of 20-29 year-old males and 20-49 year-old females began to increase in the late 2010s. SMRPs of these high-risk groups for suicides caused by depression (the leading suicidal motive for all groups) began increasing in the late 2010s. Economic-related, employment-related, and romance-related problems contributed to the increasing SMRPs in 20-29 males in the late 2010s. Romance-related and family-related problems contributed to the increasing SMRPs of 20-29 females in the late 2010s. Increasing SMRPs caused by child-raising stress in 20-39 year-old females from the late 2010s was a remarkable finding. In contrast, SMRPs of 30-59 year-old males consistently decreased until 2021; however, in these groups, SMRPs for suicides caused by various motives sharply increased in 2022. The consistent increase in SMRPs of high-risk groups from the late 2010s to the pandemic suggest recent socioeconomic and psychosocial problems in Japan possibly contributed to the increasing SMRPs in these high-risk groups independently of pandemic-associated factors, whereas the SMRPs of males of 30-59 years were probably associated with the ending of the pandemic rather than pandemic-associated factors.

Suicidal Mortality and Motives Among Middle-School, High-School, and University Students

IMPORTANCE

The suicide mortality rate per 100 000 population (SMRP) consistently decreased before the COVID-19 pandemic outbreak in Japan and then unexpectedly increased during the pandemic. However, the underlying mechanisms remain poorly understood.

OBJECTIVE

To identify trends in and factors associated with suicidal mortality and motives among students in Japan from 2007 to 2022.

DESIGN, SETTING, AND PARTICIPANTS

In this cross-sectional study, data on SMRPs among Japanese middle-school, high-school, and university students were obtained from the government suicide database Suicide Statistics of the National Police Agency.

MAIN OUTCOMES AND MEASURES

Age-dependent and temporal fluctuations in annual SMRPs, disaggregated by suicidal motive (7 categories and 52 subcategories), sex, and school, were analyzed using linear mixed-effect and joinpoint regression models, respectively.

RESULTS

Total suicide numbers from 2007 to 2022 were as follows: 760 male middle-school students, 635 female middle-school students, 2376 male high-school students, 1566 female high-school students, 5179 male university students, and 1880 female university students. The mean (SD) student populations from 2007 to 2022 were as follows: 1 752 737 (81 334) male middle-school students, 1 675 572 (78 824) female middle-school students, 1 648 274 (67 520) male high-school students, 1 614 828 (60 032) female high-school students, 1 652 689 (32 724) male university students, and 1 229 142 (57 484) female university students. Among male students, the leading motives were school-related factors (underachievement and worrying about the future), followed by family-related and health-related motives. Among female students, school-related and family-related motives decreased, but health-related motives showed an age-dependent increase. The SMRPs of middle-school male students and female students were almost equal (mean [SD], 2.7 [1.0] vs 2.4 [1.4]), but the age-dependent increase in SMRPs among male students was pronounced (mean [SD], high-school vs university male students, 9.1 [2.4] vs 19.6 [3.0]; high-school vs university female students, 6.1 [2.4] vs 9.6 [1.8]). However, the incidence of suicide among high-school students associated with health-related motives was greater in female students. The majority of suicides associated with major impactable suicidal motives (school-related, health-related, and family-related motives) began increasing before the pandemic. Changes in SMRP associated with interpersonal relationships, such as conflict with classmates or parents, were not significant, but the rates increased greatly during the pandemic.

CONCLUSIONS AND RELEVANCE

School-related, health-related, and family-related problems were major motives, whereas the impacts of health-related and family-related motives increased and decreased with age, respectively. Notably, most SMRPs associated with major impactable motives (underachievement, conflict with a parent or classmate, and mental illnesses) had already begun increasing in the late 2010s, indicating that recent increasing SMRPs among school-aged individuals were associated with pandemic-related factors and other factors affecting this generation before the pandemic. It may be inappropriate to uniformly apply research findings based on school-aged individuals to school-based suicide prevention programs for students in middle school, high school, and university.