Prevalence of suicide attempt, suicide ideation and self-harm at diagnosis in adolescents with eating disorders.

BACKGROUND: Data concerning the suicide prevalence of eating disorder (ED) subtypes and predictive factors are lacking in youth. This study aimed to examine suicide attempts (SA), suicide ideation (SI) and self-harm (SH) upon diagnosis in adolescents with EDs. METHODS: The prevalence of SA, SI and SH in ED subtypes was evaluated by retrospectively assessing the Home, Education/Employment, Eating, Activities, Drugs, Sexuality, Suicidal ideation and Safety (HEEADSSS) instrument of adolescents diagnosed with an ED. Clinical predictors of SI in anorexia nervosa (AN) and atypical AN (AAN) were assessed. RESULTS: Among all participants (398), 41 (10.3%) reported SA, 126 (31.7%) SI and 60 (15.1%) SH. While SA did not differ statistically between ED subgroups (p = .123), they were two times more prevalent in the bulimia nervosa (BN) group (17.5%) than in the AN group (8.5%). In the BN group, SI was 2.3 times more prevalent than in the AN group (p = .001). The AN and ARFID groups exhibited substantially less SH (p = .036). Having a higher body mass index (BMI) was the only significant predictor of SI. CONCLUSIONS: This study demonstrates that adolescents with EDs are at an increased risk for suicidality, highlighting the need for close screening, particularly in those with BN, AN-BP and AN with a higher BMI.Key pointsAdolescents with eating disorders have higher rates of suicidality than the general population.Bulimia nervosa had the highest risk for a suicide attempt, suicide ideation and self-harm at diagnosis.A higher body mass index (BMI) percentage was associated with an increased risk of suicidality in the anorexia nervosa group.

Prevalence and related factors of first-time suicide attempts in the past 14 days in Chinese adult patients with first-episode drug-naïve major depressive disorder.

Background: This study aimed to identify socio-demographic, physiologic, and psychologic related factors of the first-time suicide attempt (FSA) in the past 14 days in Chinese adult patients with first-episode drug-naïve (FEDN) major depressive disorder (MDD). Methods: A total of 1718 adult patients with FEDN MDD were enrolled in this cross-sectional survey. Depression, anxiety symptoms, and suicide attempts were assessed. Additionally, biological samples were collected and measured, while Logistic regression analysis was employed to explore the risk factors for FSA in the past 14 days among FEDN MDD patients. Results: Among suicide attempters, 12.11% (208 out of 1718) reported experiencing FSA in the past 14 days. Logistic regression analysis showed that the risk factors for FSA included more severe anxiety symptoms (OR=1.37, 95%CI: 1.28-1.48, p<0.001), higher levels of total cholesterol (TC) (OR=1.42, 95%CI: 1.13-1.77, p=0.003), and elevated thyroid-stimulating hormone (TSH) (OR=1.13, 95%CI: 1.03-1.25, p=0.01). The regression model exhibited good discriminatory power for FSA with an area under the curve (AUC) of 0.82. Conclusion: FEDN MDD patients with more severe anxiety and higher levels of TSH and TC are more likely to develop FSA in the past 14 days. These factors are risk factors for short-term (in the past 14 days) FSA and may serve as indicators for early intervention.

An epigenetic candidate-gene association study of parental styles in suicide attempters with substance use disorders.

Suicide attempts (SA) are prevalent in substance use disorders (SUD). Epigenetic mechanisms may play a pivotal role in the molecular mechanisms of environmental effects eliciting suicidal behaviour in this population. Hypothalamic-pituitary-adrenal axis (HPA), oxytocin and neurotrophin pathways have been consistently involved in SA, yet , their interplay with childhood adversity remains unclear, particularly in SUD. In 24 outpatients with SUDs, we examined the relation between three parental dysfunctional styles and history of SA with methylation of 32 genes from these pathways, eventually analysing 823 methylation sites. Extensive phenotypic characterization was obtained using a semi-structured interview. Parental style was patient-reported using the Measure of Parental Style (MOPS) questionnaire, analysed with and without imputation of missing items. Linear regressions were performed to adjust for possible confounders, followed by multiple testing correction. We describe both differentially methylated probes (DMPs) and regions (DMRs) for each set of analyses (with and without imputation of MOPS items). Without imputation, five DMRs in OXTR, CRH and NTF3 significantly interacted with MOPS father abuse to increase the risk for lifetime SA, thus covering the three pathways. After imputation of missing MOPS items, two other DMPs from FKBP5 and SOCS3 significantly interacted with each of the three father styles to increase the risk for SA. Although our findings must be interpreted with caution due to small sample size, they suggest implications of stress reactivity genes in the suicidal risk of SUD patients and highlight the significance of father dysfunction as a potential marker of childhood adversity in SUD patients.

Possible Mental Health Interventions for Family Members of a Close Relative Who Has Suicidal Thoughts or Committed Suicide: A Pilot Project at a Mental Health Center.

Background: Suicides are an actual issue, especially in Lithuania, where, despite significant efforts, the number of suicides remains very high. In cases of suicide, society painfully loses its members, and the relatives of the person who committed suicide, engaged in self-harm, or attempted suicide face many negative experiences. Methods: The purpose of this article is to describe the pilot project applied for 2 years in the Mental Health Center (MHC) in the city of Vilnius, Lithuania, in organizing and providing services to people whose relatives committed suicide or attempted suicide or self-harm. This prevention and early intervention program, organized by an interdisciplinary team at an MHC, appeared appropriate, effective, and well-attended. Program clients could participate anonymously and have the opportunity to choose the time and the right services for themselves from the offered program services package. Results: Providing the possibility for family members to receive flexible mental health services at the primary center increased the attractiveness of the program and reduced stigma. Conclusions: The program results demonstrated the applicability of the implementation of such an initiative as a relevant possibility when providing complex help for the relatives of self-harming and/or suicidal people.

Sleep and circadian rhythms in adolescents with attempted suicide.

Sleep and circadian rhythm disorders are very common in adolescents and have been linked to suicidal ideation. However, little is known about adolescent sleep before a suicide attempt (SA). The objectives of this study were to compare the sleep of adolescents aged 13 to 18 over a period of 4 weeks before a SA compared to a non-SA group, then to analyze the association between sleep, support social and well-being based on information from validated questionnaires. In 2015, 250 adolescents were included, 55 were recruited the day after a SA in French hospitals (before SA evaluations were retrospective). Logistic regression analyzes showed that during school days, bedtime was equivalent in both groups, but sleep onset latency was significantly longer in SA (86 min vs. 52 min, p = 0.016), and wake-up time was earlier (6 h 22 vs. 6 h 47, p = 0.002), resulting in a shorter total sleep time of 44 min (OR = 0.76, CI 95% [0.61-0.93]) the month preceding SA. Adolescents with longer sleep time performed better on perceived psychological well-being (p = 0.005), relationship with parents (p = 0.011) and school environment (p < 0.001). Results indicate a significant change in the quantity and quality of adolescents' subjective sleep in the 4 weeks preceding SA requiring objective measures to study the predictive properties of sleep in SA.

Identifying suicide attempter in major depressive disorder through machine learning: the importance of pain avoidance, event-related potential features of affective processing.

How to achieve a high-precision suicide attempt classifier based on the three-dimensional psychological pain model is a valuable issue in suicide research. The aim of the present study is to explore the importance of pain avoidance and its related neural features in suicide attempt classification models among patients with major depressive disorder. By recursive feature elimination with cross-validation and support-vector-machine algorithms, scores from the measurements and the task-based EEG signals were chosen to achieve a suicide attempt classification model. In the multimodal suicide attempt classifier with an accuracy of 83.91% and an area under the curve of 0.90, pain avoidance ranked as the top one in the optimal feature set. Theta (reward positive feedback minus neutral positive feedback) was the shared neural representation ranking as the top one of event-related potential features in pain avoidance and suicide attempt classifiers. In conclusion, the suicide attempt classifier based on pain avoidance and its related affective processing neural features has excellent accuracy among patients with major depressive disorder. Pain avoidance is a stable and strong indicator for identifying suicide risks in both traditional analyses and machine-learning approaches. A novel methodology is needed to clarify the relationship between cognitive and affective processing evoked by punishment stimuli and pain avoidance.

Psychological pain and sociodemographic factors classified suicide attempt and non-suicidal self-injury in adolescents.

This study aimed to utilize machine learning to explore the psychological similarities and differences between suicide attempt (SA) and non-suicidal self-injury (NSSI), with a particular focus on the role of psychological pain. A total of 2385 middle school students were recruited using cluster sampling. The random forest algorithm was used with 25 predictors to develop classification models of SA and NSSI, respectively, and to estimate the importance scores of each predictor. Based on these scores and related theories, shared risk factors (control feature set) and distinct risk factors (distinction feature set) were selected and tested to distinguish between NSSI and SA. The machine learning algorithm exhibited fair to good performance in classifying SA history [Area Under Curves (AUCs): 0.65-0.87] and poor performance in classifying NSSI history (AUC: 0.61-0.68). The distinction feature set comprised pain avoidance, family togetherness, and deviant peer affiliation, while the control feature set included pain arousal, painful feelings, and crisis events. The distinction feature set slightly but stably outperformed the control feature set in classifying SA from NSSI. The three-dimensional psychological pain model, especially pain avoidance, might play a dominant role in understanding the similarities and differences between SA and NSSI.

Family psychoeducation in schizophrenia and schizophrenia related disorder, treatment compliance, and suicidal risk reduction: questions about their relationship from a naturalistic observation.

Introduction: The Profamille V3.2 multi-family psycho-educational program directed at caregivers of relatives with schizophrenia or schizophrenia related disorder has been shown to decrease the annual prevalence of suicide attempts. It has been reported that psychoeducation of families can sometimes improve compliance with treatment. This study investigates whether the Profamille program improves compliance and thus reduces the risk of suicide among patients. Method: This is a retrospective study of 179 groups of family caregivers, encompassing 1946 participants enrolled in Module 1 of the Profamille program and followed up one year after completion of the module. Evaluations were conducted using questionnaires filled out by family caregivers at three distinct times: prior to beginning the program, upon its completion, and again one year following its conclusion. The annual prevalence of suicide attempts was measured both before the program began and one year after its conclusion, while compliance to treatment was evaluated at the start and end of the program. Result: After the Profamille program, the annual prevalence of suicide attempts fell by a factor of 2 (p-value = 0.00002) and patient compliance improved (p-value <0.000001). This reduction in suicide attempts was observed independently of improved compliance. Compliance seems to have an additional effect, but only after participation in the program. Conclusion: The Profamille program reduces patients' risk of suicide even when patients are not taking the treatment. When family psychoeducation is not proposed in schizophrenia or schizophrenia related disorder, this can represent a loss of chance for patients.

Risk factors of suicide re-attempt: A two-year prospective study.

BACKGROUND: History of suicide attempt (SA) is the strongest predictor of a new SA and suicide. It is primordial to identify additional risk factors of suicide re-attempt. The aim of this study was to identify risk factors of suicide re-attempt in patients with recent SA followed for 2 years. METHODS: In this multicentric cohort of adult inpatients, the median of the index SA before inclusion was 10 days. Clinicians assessed a large panel of psychological dimensions using validated tools. Occurrence of a new SA or death by suicide during the follow-up was recorded. A cluster analysis was used to identify the dimensions that best characterized the population and a variable "number of personality traits" was created that included the three most representative traits: anxiety, anger, and anxious lability. Risk factors of re-attempt were assessed with adjusted Cox regression models. RESULTS: Among the 379 patients included, 100 (26.4 %) re-attempted suicide and 6 (1.6 %) died by suicide. The two major risk factors of suicide re-attempt were no history of violent SA and presenting two or three personality traits among trait anxiety, anger and anxious lability. LIMITATIONS: It was impossible to know if treatment change during follow-up occur before or after the re-attempt. DISCUSSION: One of the most important predictors of re-attempt in suicide attempters with mood disorders, was the presence of three personality traits (anger, anxiety, and anxious lability). Clinicians should provide close monitoring to patients presenting these traits and proposed treatments specifically targeting these dimensions, especially anxiety.

Suicide attempts in the absence of depression: Differences between broad cultural groups.

Suicide is one of the leading causes of death worldwide (WHO, 2019). Depression is a common precursor to suicide and suicidality; however, individuals' experience of depression and the meaning of suicide differs depending on one's cultural background (Colucci, 2013; Goodmann et al., 2021; Kleinman, 2004). The current study explores the relationship between suicide and depression among six broad cultural groups in a large sample (N = 17,015) of adults representing six broad cultural groups (Latin America, South Asia, former Soviet Bloc, Western English-speakers, Chinese, and Arab World). Participants were recruited to a multilingual depression and suicide screening study via Google Ads (Leykin et al., 2012; Gross et al., 2014). As expected, the presence of depression was associated with suicide attempts. However, cultural group moderated this association, with Chinese participants being most likely to report suicidal attempts while screening negative for depression. Although depression remains an important predictor of suicidality, it appears that certain cultural groups may be at higher risk even when depression is not present. Clinicians should consider using culturally adapted assessments for depression and suicidality.

Case fatality of repeated suicidal acts among suicide attempters in rural China: a retrospective cohort study.

Background: Individuals presenting to hospital due to suicide attempt are at high risk for repeated suicidal act, yet there are meager data on the extent to which repeated suicidal acts result in death. Methods: This retrospective cohort study was based on a general hospital self-harm register system in a rural county in China. Identified individuals who attempted suicide were contacted and followed up for up to 8 years. Main outcomes over follow-up were: 1) suicide death, 2) nonlethal suicide attempt, and 3) suicidal acts including suicide death and nonlethal attempt. Incidence densities, correlates, and case fatality of repeated suicidal acts were estimated. Findings: A total of 1086 individuals (two-thirds females, mean age 40.6 years) with a suicide attempt presenting to hospital (index attempt) were identified and followed up, with most of the index attempts by pesticide ingestion (79%). Over follow-up, there were 116 suicidal acts carried out by 108 individuals (69 females, 39 males), including 34 suicide deaths (21 females, 13 males), yielding a high case-fatality of 29.3%. During follow-up, suicide death rates were also high overall and in the first year of follow-up (846.7 and 1787.2 per 100,000 person years). Over follow-up, pesticide was the most common method (47/116) of repeated suicidal act and yielded a higher case-fatality than other methods (46.8% vs 17.4%, χ2 = 11.68, P < 0.001). The incidence densities of repeated suicidal acts and nonlethal attempts were low compared to rates reported in previous literature. Interpretation: Incidence densities of repeated suicidal acts in a rural China cohort were low compared to previous studies. However, rates of suicide deaths over follow-up were high, a result driven by the high case-fatality of suicidal acts and attributable to the common use of pesticides. Reducing suicidal acts with pesticides is a key target for suicide prevention in rural China. Funding: Beijing Municipal High Rank Public Health Researcher Training Program, Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support, and Beijing Hospitals Authority's Ascent Plan.

Suicidality in Veterinarians: Trends at Different Career Stages and a Test of the Interpersonal Theory of Suicide.

OBJECTIVE: The aim of this study was to investigate sex differences in suicide ideation and attempt at different career stages and test hypotheses derived from the Interpersonal Theory of Suicide (IPTS) in a sample of veterinarians. METHOD: The sample of currently practicing veterinarians used for this study (N = 10,319) was derived from a larger sample. Participants completed an online self-report questionnaire. RESULTS: As predicted, women generally had a higher prevalence of suicide ideation and attempt across career stages, except men and women showed similar rates of suicide attempt after veterinary school. Contrary to hypotheses, no interaction effects between IPTS variables were observed. However, perceived burdensomeness, thwarted belongingness, and hopelessness exhibited the main effects of suicide ideation, and there were main effects of perceived burdensomeness and hopelessness on suicide attempt. Compared with perceived burdensomeness and thwarted belongingness, hopelessness had a relatively more robust relationship with suicide ideation. We also found a significant relationship between fearlessness about death and suicide attempt, but no relationship between self-reported pain tolerance and suicide attempt. CONCLUSIONS: Some of our findings were consistent with the IPTS while others were not. Future research would benefit from a longitudinal examination of suicidality in veterinarians.

Female veterinarians generally had more severe suicidality than male veterinarians.There were no sex differences in suicide attempt after veterinary school.The Interpersonal Theory of Suicide had mixed support in a sample of veterinarians.

Gastric perforation after polyurethane foam ingestion.

INTRODUCTION: Acute intoxication rarely produces conditions that require urgent surgical care. CASE SUMMARY: A 45-year-old man presented to the emergency department with severe abdominal pain after the deliberate ingestion of 200 cm3 of polyurethane mixed with methylene diphenyl diisocyanate and urethane primers. On an initial laparoscopic examination, foreign material was observed in the peritoneal space with haemoperitoneum. Emergency exploration was then undertaken for suspected gastric perforation. Full-thickness damage was identified on the stomach wall during the operation. The material in the gastrointestinal tract and peritoneal space was gently removed. Moulded casts of the entire stomach and distal oesophagus were extracted successfully. The patient was discharged 14 days after surgery. IMAGES: Computed tomography revealed foreign material occupying the entire gastric chamber, as well as diffuse gastric perforation. CONCLUSIONS: Life-threatening gastric perforation can occur after polyurethane foam ingestion. Clinical/medical toxicologists and emergency physicians need to be aware of the highly expandable nature of this agent.

Evaluating the clinical utility of an easily applicable prediction model of suicide attempts, newly developed and validated with a general community sample of adults.

BACKGROUND: A suicide attempt (SA) is a clinically serious action. Researchers have argued that reducing long-term SA risk may be possible, provided that at-risk individuals are identified and receive adequate treatment. Algorithms may accurately identify at-risk individuals. However, the clinical utility of algorithmically estimated long-term SA risk has never been the predominant focus of any study. METHODS: The data of this report stem from CoLaus|PsyCoLaus, a prospective longitudinal study of general community adults from Lausanne, Switzerland. Participants (N = 4,097; Mage = 54 years, range: 36-86; 54% female) were assessed up to four times, starting in 2003, approximately every 4-5 years. Long-term individual SA risk was prospectively predicted, using logistic regression. This algorithm's clinical utility was assessed by net benefit (NB). Clinical utility expresses a tool's benefit after having taken this tool's potential harm into account. Net benefit is obtained, first, by weighing the false positives, e.g., 400 individuals, at the risk threshold, e.g., 1%, using its odds (odds of 1% yields 1/(100-1) = 1/99), then by subtracting the result (400*1/99 = 4.04) from the true positives, e.g., 5 individuals (5-4.04), and by dividing the result (0.96) by the sample size, e.g., 800 (0.96/800). All results are based on 100 internal cross-validations. The predictors used in this study were: lifetime SA, any lifetime mental disorder, sex, and age. RESULTS: SA at any of the three follow-up study assessments was reported by 1.2%. For a range of seven a priori selected threshold probabilities, ranging between 0.5% and 2%, logistic regression showed highest overall NB in 97.4% of all 700 internal cross-validations (100 for each selected threshold probability). CONCLUSION: Despite the strong class imbalance of the outcome (98.8% no, 1.2% yes) and only four predictors, clinical utility was observed. That is, using the logistic regression model for clinical decision making provided the most true positives, without an increase of false positives, compared to all competing decision strategies. Clinical utility is one among several important prerequisites of implementing an algorithm in routine practice, and may possibly guide a clinicians' treatment decision making to reduce long-term individual SA risk. The novel metric NB may become a standard performance measure, because the a priori invested clinical considerations enable clinicians to interpret the results directly.

The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review.

Background: Machine learning is a promising tool in the area of suicide prevention due to its ability to combine the effects of multiple risk factors and complex interactions. The power of machine learning has led to an influx of studies on suicide prediction, as well as a few recent reviews. Our study distinguished between data sources and reported the most important predictors of suicide outcomes identified in the literature. Objective: Our study aimed to identify studies that applied machine learning techniques to administrative and survey data, summarize performance metrics reported in those studies, and enumerate the important risk factors of suicidal thoughts and behaviors identified. Methods: A systematic literature search of PubMed, Medline, Embase, PsycINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Allied and Complementary Medicine Database (AMED) to identify all studies that have used machine learning to predict suicidal thoughts and behaviors using administrative and survey data was performed. The search was conducted for articles published between January 1, 2019 and May 11, 2022. In addition, all articles identified in three recently published systematic reviews (the last of which included studies up until January 1, 2019) were retained if they met our inclusion criteria. The predictive power of machine learning methods in predicting suicidal thoughts and behaviors was explored using box plots to summarize the distribution of the area under the receiver operating characteristic curve (AUC) values by machine learning method and suicide outcome (i.e., suicidal thoughts, suicide attempt, and death by suicide). Mean AUCs with 95% confidence intervals (CIs) were computed for each suicide outcome by study design, data source, total sample size, sample size of cases, and machine learning methods employed. The most important risk factors were listed. Results: The search strategy identified 2,200 unique records, of which 104 articles met the inclusion criteria. Machine learning algorithms achieved good prediction of suicidal thoughts and behaviors (i.e., an AUC between 0.80 and 0.89); however, their predictive power appears to differ across suicide outcomes. The boosting algorithms achieved good prediction of suicidal thoughts, death by suicide, and all suicide outcomes combined, while neural network algorithms achieved good prediction of suicide attempts. The risk factors for suicidal thoughts and behaviors differed depending on the data source and the population under study. Conclusion: The predictive utility of machine learning for suicidal thoughts and behaviors largely depends on the approach used. The findings of the current review should prove helpful in preparing future machine learning models using administrative and survey data. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022333454 identifier CRD42022333454.

A Swedish population-based study to evaluate the usefulness of resting heart rate in the prediction of suicidal behavior among males.

INTRODUCTION: Resting heart rate has been distinctly related to both internalizing (high pulse) and externalizing (low pulse) disorders. We aimed to explore the associations between resting heart rate and suicidal behavior (nonfatal suicide attempt [SA] and suicide death [SD]) and evaluate if such associations exist beyond the effects of internalizing/externalizing symptomatology. METHOD: We used Cox proportional hazards models to evaluate the associations between resting heart rate (age 19) and later SA/SD in 357,290 Swedish men. Models were controlled for internalizing disorders, externalizing disorders, and resilience (the ability to deal with adversity). Co-relative analysis (comparing pairs of different genetic relatedness) was used to control for unmeasured family confounders and improve causal inference. RESULTS: In baseline models, low resting heart rate was associated with SA (HR = 0.96; 95% CI: 0.95,0.98) and high resting heart rate with SD (HR = 1.04; 95% CI: 1.002,1.07). The association with SA remained after adjustment for all confounders (HR = 0.98). However, the association with SD did not persist after controlling for covariates. Co-relative analysis did not support causal associations. CONCLUSIONS: Our findings raise interesting etiological questions for the understanding of suicidal behaviors but do not support the usefulness of resting heart rate in suicide prediction.

Psychometric properties and factor structure of the suicidal narrative inventory in major depression: A multicentric evaluation.

BACKGROUND: The Suicidal Narrative Inventory (SNI) is a 38-item self-report measure developed to assess elements of the suicidal narrative, a subacute, predominantly cognitive, presuicidal construct. Our objectives were to assess the factor structure, validity, and reliability of the SNI-38 among adults with major depressive disorder (MDD). METHODS: Using a cross-sectional design, we administered the Hindi version of the SNI along with other self-report measures to adults with MDD, recruited from 24 tertiary care hospitals across India. Confirmatory factor analysis (CFA) was performed to assess the factor structure of SNI-38. Reliability (internal consistency) was assessed using Cronbach's alpha (α). Convergent, discriminant, and criterion validity of the SNI-38 were tested by comparing it against other appropriate measures. RESULTS: We collected usable responses from 654 Hindi-speaking participants (Mean age = 36.9 ± 11.9 years, 50.2% female). The eight-factor solution of the SNI showed good model fit indices (χ2[637] = 3345.58, p <.001, CFI =.98, and RMSEA =.08). Internal consistencies for the SNI subscale scores were good to excellent, α ranging from .73 to.92. While most subscales significantly converged with other measures, associations were comparatively weaker and inconsistent for the 'thwarted belongingness' and 'goal reengagement' subscales. CONCLUSION: Consistent with prior data, our study confirmed an eight-factor solution and demonstrated adequate psychometric properties for the Hindi version of the SNI-38 in our sample. These findings provide empirical support for the use of SNI to assess the suicidal narrative among Indian adults with MDD.

Associations between polygenic liability to psychopathology and non-suicidal versus suicidal self-injury.

Little is known about how non-suicidal and suicidal self-injury are differentially genetically related to psychopathology and related measures. This research was conducted using the UK Biobank Resource, in participants of European ancestry (N = 2320 non-suicidal self-injury [NSSI] only; N = 2648 suicide attempt; 69.18% female). We compared polygenic scores (PGS) for psychopathology and other relevant measures within self-injuring individuals. Logistic regressions and likelihood ratio tests (LRT) were used to identify PGS that were differentially associated with these outcomes. In a multivariable model, PGS for anorexia nervosa (odds ratio [OR] = 1.07; 95% confidence intervals [CI] 1.01; 1.15) and suicidal behavior (OR = 1.06; 95% CI 1.00; 1.12) both differentiated between NSSI and suicide attempt, while the PGS for other phenotypes did not. The LRT between the multivariable and base models was significant (Chi square = 11.38, df = 2, p = 0.003), and the multivariable model explained a larger proportion of variance (Nagelkerke's pseudo-R2 = 0.028 vs. 0.025). While NSSI and suicidal behavior are similarly genetically related to a range of mental health and related outcomes, genetic liability to anorexia nervosa and suicidal behavior is higher among those reporting a suicide attempt than those reporting NSSI-only. Further elucidation of these distinctions is necessary, which will require a nuanced assessment of suicidal versus non-suicidal self-injury in large samples.

Association of Temperament and Character Traits with Suicide Probability, Suicide Attempts, and Perceived Stress Level in Patients with Bipolar Disorder.

Bipolar disorder (BD) is a high-suicide-risk mental disorder. The purpose of this study was to identify the relationship between temperament and character traits with suicide probability, suicide attempts, and perceived stress level in patients with BD. A total of 39 euthymic patients with bipolar disorder who had a history of suicide attempts and 39 euthymic patients without a history of suicide attempts were included in this study. The sociodemographic and clinical data form, Hamilton Depression Rating Scale (HDRS), Young Mania Rating Scale (YMRS), Structured Clinical Interview for DSM-5-Clinician Version (SCID-5/CV), Temperament and Character Inventory (TCI), Perceived Stress Scale (PSS), and Suicide Probability Scale were used to obtain the data. HDRS, PSS, and SPS scores of the group comprised of patients who attempted suicide were higher than the other group. There was no significant difference between the group of patients who had attempted suicide and the other group in terms of temperament characteristics. In the group of patients who had attempted suicide, self-directedness (SD) and cooperativeness (CO) scores were lower, and the self-transcendence (ST) score was higher than the other group. HA and ST were positively and SD negatively associated with SPS scores. In the regression analysis for suicide risk, the factors most associated with suicide risk were high HDRS and low CO score. Low SD in BD and high ST with CO may be associated with suicide attempts. Alongside low SD, high HA and ST may be associated with suicidal ideation. Treating residual depressive symptoms can reduce the risk of suicide.