Self-harm, self-poisoning or self-injury, irrespective of the motivation, is a central risk factor for suicide. Still, there is limited knowledge of self-harm among patients with substance use disorders (SUDs) who die by suicide.

We aimed to describe the prevalence of a history of self-harm and identify the factors associated with self-harm, comparing individuals who died by suicide with and without SUDs.

We used data from the Norwegian Surveillance System for Suicide in Mental Health and Substance Use Services, which is based on a national linkage between the Norwegian Cause of Death Registry and the Norwegian Patient Registry, to identify individuals who died by suicide within 1 year after last contact with mental health or substance use services (n = 1140). A questionnaire was retrieved for 1041 (91.3%) of these individuals. We used least absolute shrinkage and selection operator (LASSO) regression to select variables and compared patients with and without SUDs. Conditional selective inference was used to improve 90% confidence intervals and p-values.

The prevalence of self-harm was 55% in patients with SUDs and 52.6% in patients without SUDs. Suicidal ideation (odds ratio 2.98 (95% CI 1.74–5.10)) emerged as a factor shared with patients without SUDs, while personality disorders (odds ratio 1.96 (1.12–3.40)) and a history of violence (odds ratio 1.86 (1.20–2.87)) were unique factors for patients with SUDs.

A history of self-harm is prevalent in patients with SUDs who die by suicide and is associated with suicidal ideation, a history of violence and personality disorders in patients with SUDs.

Although research has highlighted that suicidal imagery (SuiMI) and experiential avoidance (EA) are important in understanding suicidality, there is a need to understand how they potentially interact. Previous research has highlighted that EA potentially leads to increased cognitive intrusions, but it not known whether EA leads to increased SuiMI.

The purpose of this study was to explore the influence of SuiMI and EA on suicidality (i.e. encompassing thoughts, behaviour and suicide attempts). It was hypothesised that greater frequency of SuiMI would be associated with greater EA. It was also hypothesised that greater SuiMI would be associated with greater suicidality, and that EA would moderate this relationship.

Hypotheses were tested by surveying 197 general university students who completed self-report measures that assessed suicide-related mental imagery (i.e. Suicidal Imagery Questionnaire, SIQ), experiential avoidance (i.e. Multi-dimensional Experiential Avoidance Questionnaire, MEAQ) and suicidality (i.e. Suicidal Behaviours Questionnaire-Revised, SBQ-R).

Frequency of SuiMI was positively correlated with the tendency to engage in EA. SuiMI was a significant predictor of both suicidality and EA. Exploratory analysis found that voluntary SuiMI explained greater variance in suicidality than intrusive, involuntary SuiMI, and that SuiMI only predicted EA in low-risk participants and not for those at high risk of suicide. EA did not predict suicidality and it also did not show any moderating effect on the relationship between SuiMI and suicidality.

There is evidence to suggest that suicide-related mental imagery may play an important role in suicide risk and more specifically imagery that is voluntarily engaged with. Future research is needed to explore the different types of imagery in relation to suicidal ideation in populations at higher risk of suicide.

Suicide-related stigma (i.e. negative attitudes towards people with suicidal thoughts and/or behaviours as well as those bereaved by suicide) is a potential risk factor for suicide and mental health problems. To date, there has been no scoping review investigating the association between suicide-related stigma and mental health, help-seeking, suicide and grief across several groups affected by suicide.

To determine the nature of the relationship between suicide-related stigma and mental health, help-seeking, grief (as a result of suicide bereavement) and suicide risk.

This review was registered with PROSPERO (CRD42022327093). Five databases (Web of Science, APA PsycInfo, Embase, ASSIA and PubMed) were searched, with the final update in May 2024. Studies were included if they were published in English between 2000 and 2024 and assessed both suicide-related stigma AND one of the following: suicide, suicidal thoughts or suicidal behaviours, help-seeking, grief or other mental health variables. Following screening of 14 994 studies, 100 eligible studies were identified. Following data charting, cross-checking was conducted to ensure no relevant findings were missed.

Findings across the studies were mixed. However, most commonly, suicide-related stigma was associated with higher levels of suicide risk, poor mental health, lowered help-seeking and grief-related difficulties. A model of suicide-related stigma has been developed to display the directionality of these associations.

This review emphasises the importance of reducing the stigma associated with suicide and suicidal behaviour to improve outcomes for individuals affected by suicide. It also identifies gaps in our knowledge as well as providing suggestions for future research.

Researchers explore the biology of painful experiences not primarily felt in the body (‘non-physical pain’), sometimes referred to as mental, social or emotional pain. A critical challenge lies in how to operationalise this subjective experience for biological research, a crucial process for translating findings into clinical practice.

To map studies investigating biological features of non-physical pain, focusing on their conceptual features (i.e. terms and definitions of non-physical pain) and methodological characteristics (e.g. experimental paradigms and measures).

This methodological systematic review searched reports of primary research on the biological features of non-physical pain across Embase, MEDLINE and Web of Science. Using a meta-research approach, we synthetised results on terms, definitions, populations, experimental paradigms, confounders, measures of non-physical pain and investigation methods (e.g. functional magnetic resonance imaging).

We identified 92 human studies, involving 7778 participants. Overall, 59.1% of the studies did not report any definition of non-physical pain, and 82% of studies did not use a specific measure. Regarding the possibility of translating results to clinical settings, most of the human studies involved only healthy participants (71.7%) and the seven different experimental paradigms used to induce non-physical pain had unknown external validity. Confounders were not considered by 32.4% of the experimental studies. Animal studies were rare, with only four rodent studies.

Biomedical studies of non-physical pain use heterogeneous concepts with unclear overlaps and methods with unknown external validity. As has been done for physical pain, priority actions include establishing an agreed definition and measurement of non-physical pain and developing experimental paradigms with good external validity.

To explore current and potential upcoming legal provisions concerning advance healthcare directives in psychiatry in Ireland, with particular focus on clinical challenges and ethical issues (e.g., self-harm, suicide).

Review and analysis of selected relevant sections of the Assisted Decision-Making (Capacity) Act 2015, Assisted Decision-Making (Capacity) (Amendment) Act 2022, Mental Health Act 2001, Mental Health Bill 2024, and Criminal Law (Suicide) Act 1993, and relevant publications from Ireland’s Medical Council and Decision Support Service.

The Assisted Decision-Making (Capacity) Act 2015 outlined new procedures for advance healthcare directives. The Assisted Decision-Making (Capacity) (Amendment) Act 2022 specified that advance healthcare directives relating to mental health are binding for involuntary patients unless involuntary status is based on Section 3(1)(a) of the Mental Health Act 2001 (i.e., the ‘risk’ criteria). The Mental Health Bill 2024 proposes making advance healthcare directives binding for all involuntary patients. In relation to suicide and self-harm, the Criminal Law (Suicide) Act 1993 states that ‘a person who aids, abets, counsels or procures the suicide of another, or an attempt by another to commit suicide, shall be guilty of an offence’, and the Decision Support Service advises that healthcare professionals are exempted from criminal liability if complying with a valid and applicable advance healthcare directive that refuses life-sustaining treatment, even where the directive-maker has attempted suicide.

Considerable public and professional education are needed if advance healthcare directives are to be widely used. The ethical dimensions of certain advance directives require additional thought and, ideally, professional ethical guidance.

Forming ‘if-then’ plans has been shown to reduce self-harm among people admitted to hospital following an episode of self-harm.

To explore whether the same intervention, delivered online, could prevent future self-harm among a large community sample who had previously self-harmed.

UK adults were recruited to a randomised controlled trial and received either an intervention to reduce self-harm or one to reduce sedentariness (control group). Randomisation was stratified to ensure both groups were representative of the UK population. There were three primary outcomes: non-suicidal self-injury (NSSI), suicidal ideation and suicide attempts, assessed at baseline and 6 months post-intervention.

Participants (1040) were randomised to the intervention (n = 520) or control (n = 520) group. The vast majority of people formed implementation intentions in both the experimental (n = 459 (88.3%)) and control (n = 520 (100%)) condition. Overall, the intervention did not significantly reduce the frequency of NSSI, suicidal ideation or suicide attempts. Among people who had self-harmed in the past week at follow-up, mixed analysis of covariance revealed a significant interaction between time and condition for reflective motivation, F(1,102) = 7.08, P < 0.01, pn2 = 0.07, such that significantly lower levels of reflective motivation were reported at follow-up in the control condition, t(57) = 2.42, P = 0.02.

This web-based intervention has limited utility for reducing self-reported self-harm or suicidal ideation in adults with a history of self-harm. Further work is needed to improve the effectiveness of brief interventions for self-harm aimed at adults living in the community and to understand the conditions under which the intervention may or may not be effective.

Despite a global decline in suicide rates, the USA has witnessed a concerning rise in suicide mortality over the past two decades.

This study aims to elucidate the changing patterns of suicide mortality in the USA from 1999 to 2019, with a particular focus on gender and racial differences.

We utilised national mortality data for causes of suicide (X60–X84, Y87.0) from the Centers for Disease Control and Prevention for 1999–2019. The age–period–cohort analysis was conducted to explore the effects of age, period and birth cohort effects on suicide mortality by gender and race.

Between 1999 and 2019, the suicide rate and the number of suicides in the USA increased 33% and 62%, respectively. We discerned an emerging peak of suicide among young adult populations even as increases affected nearly all groups. Females have shown increasing period risk, which has exceeded that of males since 2011. Their cohort risk, which slowly increased and exceeded males in post-1959 cohorts, exhibited a steep J-shaped pattern, especially among those born after 1977. Although Americans of all races have experienced increased period risk since 2011, it was highest among American Indians and Alaska Natives by the end of the 20-year span. With the mortality risk increasing rapidly in all post-1959 cohorts, the risk showed an obvious cliff-shaped pattern among the Asian/Pacific Islander population born after 1989.

The shifting burden of suicide mortality towards younger populations, transcending gender and racial boundaries, underscores the need for the implementation of tailored public health strategies.

Suicidal thoughts and behaviors (STBs) are a major concern in people with psychotic disorders. There is a need to examine their prevalence over long-term follow-up after first-episode psychosis (FEP) and determine their early predictors.

Of 510 participants with FEP evaluated on 26 risk factors for later outcomes, 260 were reassessed after 21 years of follow-up for lifetime ratings of most severe suicidal ideation, number of suicide attempts, and lethality of the most severe attempt. Risk factors and STB outcomes were modeled using hierarchical linear regression analysis.

Over the 21-year follow-up period, 62.7% of participants experienced suicidal thoughts, 40.8% attempted suicide, and 18 died of suicide (3.5% case fatality and 20.6% proportionate mortality). Suicidal ideation was independently predicted by parental socioeconomic status, familial load of major depression, neurodevelopmental delay, poor adolescence social networks, and suicidal thoughts/behavior at FEP. The number of suicide attempts was independently predicted by years of follow-up, familial load of major depression, obstetric complications, childhood adversity, and suicidal thoughts/behavior at FEP. Lethality was independently predicted by familial load of major depression, obstetric complications, neurodevelopmental delay, and poor adolescence social networks. The proportion of variance in suicidal ideation, attempts, and lethality explained by the independent predictors was 29.3%, 21.2%, and 18.1%, respectively.

STBs are highly prevalent in psychotic disorders and leads to substantial morbidity and mortality. They were predicted by a number of early risk factors, whose clinical recognition should contribute to improved prediction and prevention in people with psychotic disorders.

Adolescents with psychiatric disorders are at increased risk of suicide, with insomnia, depression, and social-personal factors playing pivotal roles. This study investigates the interplay between these factors in a sample of adolescent psychiatric inpatients in Italy, with a particular focus on their association with suicide attempts.

We conducted a cross-sectional study on 95 adolescent inpatients (54 suicide attempters, 41 non-attempters) to explore their sociodemographic and clinical variables, including insomnia, depression, and social-personal factors as history of bullying. Logistic regression analyses and Pearson’s correlations were used to identify significant predictors of suicide attempts and their interrelations.

Suicide attempters were predominantly female (90% vs. 75%, p = 0.04) and more likely to have a family psychiatric history (83% vs. 63%, p = 0.04), a history of bullying (26% vs. 9%, p = 0.01), and insomnia (79% vs. 53%, p = 0.01). Depression was strongly associated with suicide attempts (96% vs. 70%, p = 0.01), while physically active adolescents were significantly less likely to attempt suicide (27% vs. 53%, p = 0.01). Insomnia and depression were highly correlated (r = 0.94, p = 0.02), emphasizing the critical role of the former in emotional dysregulation. Behavioral factors, such as physical inactivity and bullying, emerged as additional key contributors to suicidal behavior.

This study highlights the multifaceted nature of suicide risk in adolescent psychiatric inpatients, with sleep disturbances, depression, and behavioral factors playing central roles. These findings underscore the need for integrated interventions targeting sleep, emotional regulation, and behavioral vulnerabilities to mitigate suicide risk.

Increasing evidence has established a strong association between social anxiety disorder and suicidal behaviours, including suicidal ideation and suicide attempts. However, the association between social anxiety disorder and suicide mortality remains unclear.

This study analysed data from 15,776 patients with social anxiety disorder, extracted from a nationwide Taiwanese cohort between 2003 and 2017. Two unexposed groups without social anxiety disorder, matched by birth year and sex in 1:4 and 1:10 ratios, respectively, were used for comparison. Suicide deaths during the same period were examined. Psychiatric comorbidities commonly associated with social anxiety disorder, including schizophrenia, bipolar disorder, major depression, alcohol use disorder (AUD), substance use disorder (SUD), obsessive-compulsive disorder, autism, and attention deficit hyperactivity disorder, were identified.

Time-dependent Cox regression models, adjusted for demographic factors and psychiatric comorbidities, revealed that individuals with social anxiety disorder had an increased risk of suicide (hazard ratio: 3.49 in the 1:4 matched analysis and 2.84 in the 1:10 matched analysis) compared with those without the disorder. Comorbidities such as schizophrenia, bipolar disorder, major depression, AUD, and SUD further increased the risk of suicide in patients with social anxiety disorder.

Social anxiety disorder is an independent risk factor for suicide death. Additional psychiatric comorbidities, including schizophrenia, major affective disorders, and AUD, further increased social anxiety disorder-related suicide risk. Therefore, mental health officers and clinicians should develop targeted suicide prevention strategies for individuals with social anxiety disorder.

Panic disorder (PD) may increase the likelihood of suicidal ideation and behaviors because of psychiatric comorbidities such as major depressive disorder (MDD). However, research has yet to demonstrate a direct relationship between PD and suicide mortality.

Using data from Taiwan’s National Health Insurance Research Database, we identified 171,737 individuals with PD and 686,948 age- and sex-matched individuals without PD during 2003–2017. We assessed the risk of suicide within the same period. Psychiatric comorbidities such as schizophrenia, bipolar disorder, MDD, obsessive-compulsive disorder (OCD), autism, alcohol use disorder (AUD), and substance use disorder (SUD) were also evaluated. Time-dependent Cox regression models were used to compare the risk of suicide in different groups after adjustment for demographic data and psychiatric comorbidities.

Our Cox regression model revealed that PD was an independent risk factor for suicide (hazard ratio [HR] = 1.85, 95% confidence interval [CI] = 1.59–2.14), regardless of psychiatric comorbidities. Among all comorbidities, MDD with PD was associated with the highest risk of suicide (HR = 6.08, 95% CI = 5.48–6.74), followed by autism (HR = 4.52, 95% CI = 1.66–12.29), schizophrenia (HR = 3.34, 95% CI = 2.7–4.13), bipolar disorder (HR = 3.20, 95% CI = 2.71–3.79), AUD (HR = 2.99, 95% CI = 2.41–3.72), SUD (HR = 2.82, 95% CI = 2.28–3.47), and OCD (HR = 2.10, 95% CI = 1.64–2.67).

PD is an independent risk factor for suicide. Psychiatric comorbidities (i.e. schizophrenia, bipolar disorder, MDD, OCD, AUD, SUD, and autism) with PD increase the risk of suicide.

Relatively little is known about mental healthcare-related harm, with patient safety incidents (PSIs) in community-based services particularly poorly understood. We aimed to characterize PSIs, contributory factors, and reporter-identified solutions within community-based mental health services for working-age adults.

We obtained data on PSIs reported within English services from the National Reporting and Learning System. Of retrieved reports, we sampled all incidents reportedly involving ‘Death’, ‘Severe harm’, or ‘Moderate harm’, and random samples of a proportion of ‘Low harm’ or ‘No harm’ incidents. PSIs and contributory factors were classified through qualitative content analysis using existing frameworks. Frequencies and proportions of incident types were computed, and reporter-identified solutions were inductively categorized.

Of 1825 sampled reports, 1443 were eligible and classified into nine categories. Harmful outcomes, wherein service influence was unclear, were widely observed, with self-harm the modal concern amongst ‘No harm’ (15.0%), ‘Low harm’ (62.8%), and ‘Moderate harm’ (37.6%) categories. Attempted suicides (51.7%) and suicides (52.1%) were the most frequently reported events under ‘Severe harm’ or ‘Death’ outcomes, respectively. Incidents common to most healthcare settings were identified (e.g. medication errors), alongside specialty-specific incidents (e.g. Mental Health Act administration errors). Contributory factors were wide-ranging, with situational failures (e.g. team function failures) and local working conditions (e.g. unmanageable workload) widely reported. Solution categories included service user-directed actions and policy introduction or reinforcement.

Study findings provide novel insights into incidents, contributory factors, and reported solutions within community-based mental healthcare. Targets for safety improvement are outlined, aimed at strengthening system-based prevention of incidents.

An increasing number of observational studies have reported associations between frailty and mental disorders, but the causality remains ambiguous.

To assess the bidirectional causal relationship between frailty and nine mental disorders.

We conducted a bidirectional two-sample Mendelian randomisation on genome-wide association study summary data, to investigate causality between frailty and nine mental disorders. Causal effects were primarily estimated using inverse variance weighted method. Several secondary analyses were applied to verify the results. Cochran's Q-test and Mendelian randomisation Egger intercept were applied to evaluate heterogeneity and pleiotropy.

Genetically determined frailty was significantly associated with increased risk of major depressive disorder (MDD) (odds ratio 1.86, 95% CI 1.36–2.53, P = 8.1 × 10−5), anxiety (odds ratio 2.76, 95% CI 1.56–4.90, P = 5.0 × 10−4), post-traumatic stress disorder (PTSD) (odds ratio 2.56, 95% CI 1.69–3.87, P = 9.9 × 10−6), neuroticism (β = 0.25, 95% CI 0.11–0.38, P = 3.3 × 10−4) and insomnia (β = 0.50, 95% CI 0.25–0.75, P = 1.1 × 10−4). Conversely, genetic liability to MDD, neuroticism, insomnia and suicide attempt significantly increased risk of frailty (MDD: β = 0.071, 95% CI 0.033–0.110, P = 2.8 × 10−4; neuroticism: β = 0.269, 95% CI 0.173–0.365, P = 3.4 × 10−8; insomnia: β = 0.160, 95% CI 0.141–0.179, P = 3.2 × 10−61; suicide attempt: β = 0.056, 95% CI 0.029–0.084, P = 3.4 × 10−5). There was a suggestive detrimental association of frailty on suicide attempt and an inverse relationship of subjective well-being on frailty.

Our findings show bidirectional causal associations between frailty and MDD, insomnia and neuroticism. Additionally, higher frailty levels are associated with anxiety and PTSD, and suicide attempts are correlated with increased frailty. Understanding these associations is crucial for the effective management of frailty and improvement of mental disorders.