The Differences Between Individuals Engaging in Nonsuicidal Self-Injury and Suicide Attempt Are Complex (vs. Complicated or Simple)

The Etiopathogenic Mosaic of Suicidal Behaviour

Suicidality is among the most controversial concepts in multi-disciplinary studies worldwide, regardless of the form and approach. The etiopathological variability in suicidal ideation correlates with the heterogeneity of the clinical and behavioural patterns of self-harm attempts, which significantly impact the prognosis and quality of life of patients. The main objective of the present study was to identify and outline the spectrum of factors predisposing to suicide, with the whole suite of consequences and manifestations in ideation and behaviour. In this regard, the research literature of the last decade contains numerous articles dealing with the theoretical premises pertaining to both the statistical and the profoundly psychological and philosophical dimensions of suicide. The micro-environment favouring the clinical evolution of self-harm/self-destructive thoughts and attempts to the terminal, final act integrates individual medical-biological and psychological factors into the overall social reality. Knowledge of the whole etiopathogenic amalgam with clinical-evolutionary implications allows for the development of methods and tools for the early assessment and prevention of suicidal risk. At the same time, the present study aims to qualitatively focus on the subjective motivation declared by patients regarding the internal, individual catalyst of suicidal ideation and attempts on a predominantly psycho-social coordination.

Self-injury and suicide among people living with HIV/AIDS in China: a systematic review and meta-analysis

BACKGROUND

The prevalence of self-injury and suicide is higher than the general population of people living with HIV/AIDS (PLWHA). However, the results reported in existing studies are highly variable in China. The purpose of this systematic review and meta-analysis was to synthesize the currently available high-quality evidence to explore the prevalence and influence factors of self-injury and suicide among PLWHA in China.

METHOD

We retrieve literature written in Chinese and English through databases such as PubMed, Embase, Web of Science, Cochrane Library, SinoMed, CNKI, WanFang Database, and CQVIP from inception to 1 September 2022. Sata 16.0 software was used for analysis.

RESULTS

A total of 28 studies were included with a sample size of 1,433,971 and had a satisfactory quality score of ≥ 5. The prevalence among PLWHA in China were 30% for suicidal ideation (SI), 5% for suicide attempt (SA), 8% for suicide plan (SP), 7% for attempted suicide (AS), and 3‰ for completed suicide. High stigma (OR = 2.94, 95%CI: 1.90 - 4.57), depression (OR, 3.17; 95%CI, 2.20 - 4.57), anxiety (OR, 3.06; 95%CI, 2.23 - 4.20), low self-esteem (OR, 3.82, 95%CI, 2.22 - 6.57), high HIV related stress (OR, 2.53; 95%CI, 1.36 - 4.72), and unemployment (OR, 2.50; 95%CI, 1.51 - 4.15) are risk factors for SI; high social support (OR, 0.61; 95%CI, 0.44 - 0.84) and spouse infected with HIV (OR, 0.39; 95%CI, 0.21 - 0.74) are protective factors for SI; depression (OR, 1.62; 95%CI, 1.24 - 2.13), high aggression (OR, 4.66; 95%CI, 2.59 - 8.39), and more negative life events (OR, 2.51; 95%CI, 1.47 - 4.29) are risk factors for AS; high level of education (OR, 1.31; 95%CI, 1.21 - 1.43) is risk factor for CS.

CONCLUSION

Figures indicate that approximately one-third of PLWHA had suicidal ideation, and three out of 1,000 completed suicide in China. Positive events are protective factors for self-injury and suicide among PLWHA, while negative events are risk factors. This suggests that psychosocial support and risk assessment should be integrated into the care of PLWHA.

Risk Prediction Model for Non-Suicidal Self-Injury in Chinese Adolescents with Major Depressive Disorder Based on Machine Learning

Background

Non-suicidal self-injury (NSSI) is a significant social issue, especially among adolescents with major depressive disorder (MDD). This study aimed to construct a risk prediction model using machine learning (ML) algorithms, such as XGBoost and random forest, to identify interventions for healthcare professionals working with adolescents with MDD.

Methods

This study investigated 488 adolescents with MDD. Adolescents was randomly divided into 75% training set and 25% test set to testify the predictive value of risk prediction model. The prediction model was constructed using XGBoost and random forest algorithms. We evaluated the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, recall, F Score of the two models for comparing the performance of the two models.

Results

There were 161 (33.00%) participants having NSSI. Compared without NSSI, there were statistically significant differences in gender (P=0.035), age (P=0.036), depressive symptoms (P=0.042), sleep quality (P=0.030), dysfunctional attitudes (P=0.048), childhood trauma (P=0.046), interpersonal problems (P=0.047), psychoticism (P) (P=0.049), neuroticism (N) (P=0.044), punishing and Severe (F2) (P=0.045) and Overly-intervening and Protecting (M2) (P=0.047) with NSSI. The AUC values for random forest and XGBoost were 0.780 and 0.807, respectively. The top five most important risk predictors identified by both machine learning methods were dysfunctional attitude, childhood trauma, depressive symptoms, F2 and M2.

Conclusion

The study demonstrates the suitability of prediction models for predicting NSSI behavior in Chinese adolescents with MDD based on ML. This model improves the assessment of NSSI in adolescents with MDD by health care professionals working. This provides a foundation for focused prevention and interventions by health care professionals working with these adolescents.

Defining Suicidal Thought and Behavior Phenotypes for Genetic Studies

Background

Standardized definitions of suicidality phenotypes, including suicidal ideation (SI), attempt (SA), and death (SD) are a critical step towards improving understanding and comparison of results in suicide research. The complexity of suicidality contributes to heterogeneity in phenotype definitions, impeding evaluation of clinical and genetic risk factors across studies and efforts to combine samples within consortia. Here, we present expert and data-supported recommendations for defining suicidality and control phenotypes to facilitate merging current/legacy samples with definition variability and aid future sample creation.

Methods

A subgroup of clinician researchers and experts from the Suicide Workgroup of the Psychiatric Genomics Consortium (PGC) reviewed existing PGC definitions for SI, SA, SD, and control groups and generated preliminary consensus guidelines for instrument-derived and international classification of disease (ICD) data. ICD lists were validated in two independent datasets (N = 9,151 and 12,394).

Results

Recommendations are provided for evaluated instruments for SA and SI, emphasizing selection of lifetime measures phenotype-specific wording. Recommendations are also provided for defining SI and SD from ICD data. As the SA ICD definition is complex, SA code list recommendations were validated against instrument results with sensitivity (range = 15.4% to 80.6%), specificity (range = 67.6% to 97.4%), and positive predictive values (range = 0.59-0.93) reported.

Conclusions

Best-practice guidelines are presented for the use of existing information to define SI/SA/SD in consortia research. These proposed definitions are expected to facilitate more homogeneous data aggregation for genetic and multisite studies. Future research should involve refinement, improved generalizability, and validation in diverse populations.

Suicidal ideation, suicide plans and suicide attempts among Australian adults: Findings from the 2020-2022 National Study of Mental Health and Wellbeing

OBJECTIVE

This study aimed to describe the epidemiology of suicidal ideation, suicide plans and suicide attempts, examine services received for suicide attempts, and explore the relationship between suicide attempts and self-harm without suicidal intent.

METHODS

We used survey data from the 2020-2022 National Study of Mental Health and Wellbeing, which involved a nationally representative sample of Australian adults aged 16-85 (n = 15,893). Comparisons were made with the 2007 National Study of Mental Health and Wellbeing (n = 8841).

RESULTS

In 2020-2022, the proportions of adults who had experienced suicidal ideation, suicide plans and suicide attempts during their lifetime were 16.6%, 7.5% and 4.9%, respectively. The proportions who had experienced these in the past 12 months were 3.3%, 1.1% and 0.3%. The odds of experiencing suicidal ideation and making a suicide plan were significantly higher in 2020-2022 than in 2007. Groups at heightened risk of suicidal ideation, suicide plans and/or suicide attempts in the previous 12 months were males, young people, people who were gay, lesbian, or bisexual or used some other term to describe their sexual identity, people outside the labour force, people from disadvantaged areas and people with mental disorders. Two-fifths of those who attempted suicide during the previous 12 months did not use health services following their attempt, and two-thirds also self-harmed without suicidal intent.

CONCLUSION

The implications of these findings for the forthcoming National Suicide Prevention Strategy are discussed. Suicidal thoughts and behaviours confer risk for suicide and are significant problems in their own right. Their prevention requires a strong whole-of-government response.

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.

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.

Association between patterns of biological rhythm and self-harm: evidence from the baoxing youth mental health (BYMH) cohort

BACKGROUND

Self-harm, a severe mental health concern among children and adolescents, has varying global prevalence rates. Previous studies have suggested potential associations between specific behavioral aspects of biological rhythm and self-harm risk in these populations.

OBJECTIVE

Our study aimed to elucidate the relationship between biological rhythm patterns and the propensity of self-harm among Chinese children and adolescents using the Baoxing Youth Mental Health (BYMH) cohort.

METHODS

We included 1883 Chinese children and adolescents from the BYMH cohort. The self-report questions used to assess biological rhythm and self-harm. We applied Principal Component Analysis (PCA) to distinguish patterns of biological rhythms. Logistic regression models were conducted to estimate the associations between biological rhythm, as well as biological rhythm patterns and risk of self-harm.

RESULTS

Of the participants, 35.0% reported experiencing lifetime self-harm. PCA revealed six significantly predominant biological rhythm patterns. Elevated risks of self-harm were linked with unhealthy eating practices, daytime tiredness, and unhealthy bedtime snacking. Conversely, patterns emphasizing physical exercise, family meals for breakfast, and nutritious diet exhibited decreased self-harm propensities. These trends persisted across varied self-harm attributes, including type, recency, and frequency of self-harm.

CONCLUSIONS

This study underscores the critical impact of biological rhythms on self-harm risks among Chinese youth. Targeted lifestyle interventions, focusing on improved sleep and dietary habits, could serve as potent preventive measures. Our findings lay the groundwork for future longitudinal studies to further probe these associations, fostering the creation of tailored interventions to curb self-harm and enhance mental well-being in younger populations.

Invariance-based causal prediction to identify the direct causes of suicidal behavior

Despite decades of research, the direct causes of suicide remain unknown. Some researchers have proposed that suicide is sufficiently complex that no single variable or set of variables can be determined causal. The invariance-based causal prediction (ICP) is a contemporary data analytic method developed to identify the direct causal relationships, but the method has not yet been applied to suicide. In this study, we used ICP to identify the variables that were most directly related to the emergence of suicidal behavior in a prospective sample of 2,744 primary care patients. Fifty-eight (2.1%) participants reported suicidal behavior during the following year. Of 18 predictors tested, shame was most likely to be directly causal only under the least restrictive conditions. No single variable or set of variables was identified. Results support the indeterminacy hypothesis that suicide is caused by many combinations of factors, none of which are necessary for suicide to occur.

Non-suicidal self-injury and its relation to suicide through acquired capability: investigating this causal mechanism in a mainly late-diagnosed autistic sample

BACKGROUND

Non-suicidal self-injury (NSSI) has been linked with a higher risk of suicide attempts in autistic and non-autistic people. In the general population, NSSI may confer acquired capability for suicide by eroding one's fear and avoidance of pain and death. The present study aimed to explore acquired capability as the mediator of increased suicide risk conferred by NSSI in autistic and non-autistic adults.

METHODS

Autistic and non-autistic adults (n = 314, n = 312) completed an online survey exploring lifetime suicide attempts, experience with NSSI, and acquired capability for suicide. We explored relationships between lifetime incidence of NSSI and lifetime suicide attempts via three facets of acquired capability (pain tolerance, reduced fear of death, and mental rehearsal of suicide). In self-harming participants (224 autistic and 156 non-autistic), we explored whether particular types and features of NSSI might be especially associated with capability and through that with suicide: namely engagement in scratching, cutting, and self-hitting, and engaging in more numerous forms of NSSI.

RESULTS

While a higher frequency of NSSI was associated with all three facets of acquired capability, only reduced fear of death and mental rehearsal of suicide mediated an indirect relationship with lifetime suicide attempts. NSSI also directly predicted more numerous suicide attempts. Autistic people tended towards reduced fear of death and mental rehearsal regardless of NSSI status. Among self-harming autistic and non-autistic participants, cutting and an increased number of NSSI behaviours were associated with lifetime suicide attempts directly and indirectly via acquired capability. In both groups, self-hitting was associated with lifetime suicide attempts only via acquired capability.

LIMITATIONS

Our cross-sectional methodology negates inferences of directionality. While we controlled for age, our samples were poorly matched, with the autistic group two times older on average. The autistic sample, predominantly late-diagnosed, female and highly qualified, were unrepresentative of the whole autistic community.

CONCLUSIONS

Our data suggest that acquired capability, as measured herein, is an incomplete explanation for the association between NSSI and suicide risk. A broader construct with stable and transient facets may offer greater explanatory power, but it is probable that other variables explain or provide additional means through which this association arises.

Is Violence, Violence no Matter Where it Strikes? Adjudicated Boys, Thwarted Belongingness, Perceived Burdensomeness, and Acquired Capability for Suicide

This study explores treating violence against others as a precursor to self-directed violence. It tests the utility of including violence against others in the measure of acquired capability to test assumptions from the interpersonal theory of violence. Four theoretical hypotheses are assessed that are consistent with the theory: (1) thwarted belongingness (parental abandonment and rejection) and perceived burdensomeness (exposure to parental interpersonal violence and child abuse) independently increase the likelihood of suicidal ideation; (2) the interaction of thwarted belongingness and perceived burdensomeness increases the likelihood of suicidal ideation controlling for other pertinent variables; (3) the three-way interaction of thwarted belongingness, perceived burdensomeness, and acquired capability (violence against others and prior suicidal attempts) increases the likelihood of suicidal attempts controlling for other pertinent variables; and (4) self-harm responds to the theoretical variables and similarly, to attempts. Subjects are court-adjudicated males (ages 13-18) who were residents for up to 1 year at the Ocean Tides School and rehabilitation center from 1975-2019. The data span 44 years and include 2195 youth. Depression, drug/alcohol use, race, ethnicity, socioeconomic status, and interaction terms between SES and race and SES and ethnicity are also examined. Backward conditional logistic regression analyses find mixed support for the hypotheses, but strong support for including violence against others in the concept of acquired capability. Support is also found for conceptualizing child abuse and exposure to parental interpersonal violence as perceived burdensomeness in tests of this theory as well as measures of depression. Major implications for programming in the treatment and rehabilitation of delinquent boys include conceptualizing and approaching violence against others as a precursor to suicidal attempts and other self-directed harm.

Suicide capability within the ideation-to-action framework: A systematic scoping review

Suicide capability is theorised to facilitate the movement from suicidal ideation to suicide attempt. Three types of contributors are posited to comprise suicide capability: acquired, dispositional, and practical. Despite suicide capability being critical in the movement from ideation-to-attempt, there has been no systematic synthesis of empirical evidence relating to suicide capability that would enable further development and refinement of the concept. This study sought to address this synthesis gap. A scoping review was conducted on suicide capability studies published January 2005 to January 2022. Eleven electronic databases and grey literature sources were searched returning 5,212 potential studies. After exclusion criteria application, 90 studies were included for final analysis. Results synthesis followed a textual narrative approach allocating studies based on contributors of suicide capability. Most studies focused on investigating only one factor within contributors. Painful and provocative events appear to contribute to acquired capability more so than fearlessness about death. Whilst emerging evidence for dispositional and practical contributors is promising, the small number of studies prevents further conclusions from being drawn. An unexpected additional cognitive contributor was identified. The focus of a single factor from most studies and the limited number of studies on contributors other than acquired capability limits the theoretical development and practical application of suicide capability knowledge. Given that suicide is a complex and multifaceted behaviour, future research that incorporates a combination of contributors is more likely to advance our understandings of suicide capability.

Adverse clinical outcomes among youths with nonsuicidal self-injury and suicide attempts: a longitudinal cohort study

BACKGROUND

More knowledge about risks of clinical outcomes associated with nonsuicidal self-injury (NSSI) and suicide attempts (SAs) is needed to inform risk assessment and intervention.

METHODS

Longitudinal cohort study based on 1,855 youths was clinically assessed for NSSI and SA, and followed up (from December, 2011 to December 2013) for the outcomes; diagnosed self-injury, alcohol/substance use disorder, and psychiatric inpatient care data derived from Swedish registers. Hazard ratios (HRs) and 95% confidence intervals (CIs) of the outcomes were estimated with Cox regressions, and additionally adjusted for the potential effect of sex and the number of clinical assessments. NSSI and SA were treated as time-varying covariates.

RESULTS

Youths with NSSI had elevated risks of all outcomes, compared with youths without NSSI or SA; the HR was 2.3, 95% confidence interval [1.6, 3.4] for self-injury, 1.4 [0.9, 2.1] for alcohol/substance use disorder, and 1.3 [1.0, 1.7] for psychiatric inpatient care. Youths with SA displayed higher risks for the outcomes than the NSSI group; the HR was 5.5 [2.4, 12.6] for self-injury, 2.0 [0.9, 4.4] for alcohol/substance use disorder, and 2.6 [1.5, 4.5] for psychiatric inpatient care. Youths with both NSSI and SA showed similar risks as youths with SA; HR 4.1 [2.0, 8.3] for self-injury, 2.0 [1.1, 4.1] for alcohol/substance use disorder, but a higher risk of psychiatric inpatient care; HR 5.0 [3.1, 7.9]. All results remained virtually unchanged in the adjusted analyses.

CONCLUSIONS

Youths with NSSI and/or SA had higher risks for subsequent adverse clinical outcomes. These excess risks were more pronounced among youths with SA and youths with both NSSI and SA, and the risk for psychiatric inpatient care was particularly high in youths with both NSSI and SA. Our findings suggest that early interventions for youths with NSSI or SA should not exclusively focus on suicide prevention, but also consider the risk of subsequent alcohol/substance use disorder.

Self-inflicted violence and suicide in people living with HIV/AIDS: a systematic review

OBJECTIVES

to analyze intellectual productions on self-inflicted violence and suicide in people living with HIV/AIDS.

METHODS

a systematic review, carried out between March and April 2021, in the PubMed®/MEDLINE®, Web of Science and LILACS databases, subsidized in the Strengthening the Reporting of Observational Studies in Epidemiology. The period outlined was from 2011 to 2020.

RESULTS

a total of 199 studies were identified, and 16 composed the final sample, grouped into the categories: Sociodemographic characteristics of victims of self-inflicted violence/suicide and their intervening factors (pointing to young adults, especially homosexuals, with low social support and a history of mental illness or substance abuse as usual victims); Successful measures for suicide prevention/control in people living with HIV/AIDS (suggesting more frequent psychosocial and clinical follow-up of those starting antiretroviral and immunocompromised treatment).

CONCLUSIONS

biopsychosocial follow-up, analysis of sociodemographic profile and intervening factors should be frequent in this population for disease prevention/control.

Analysis of Motives and Factors Connected to Suicidal Behavior in Patients Hospitalized in a Psychiatric Department

(1) Background: This study aimed to investigate the motives and factors connected to suicidal behavior in 121 hospitalized patients with intentional self-harm (diagnosis X 60-81 according to the ICD-10); (2) Methods: Suicidal behavior of the patient was assessed from data obtained by psychiatric examinations and by the Columbia Suicide Severity Rating Scale. Analysis of data to identify the patients’ reason and motives behind suicidal behavior in a group of patients with a suicide attempt (SA, n = 80) and patients with Non-Suicidal Self-Injurious Behavior (NSSIB, n = 41) was carried out; (3) Results: Results showed that patients with affective disorder have a 19-times higher rate of SA against other diagnoses. Patients with personality disorders have a 32-times higher rate of NSSIB than patients with other diagnoses. Living alone and the absence of social support increased the likelihood of SA. Qualitative data analysis of patients’ statements showed different themes in the justification of motives for suicidal behavior between SA and NSSIB cases. Significant differences were shown for non-communicated reasons, loneliness, social problems, extortion, and distress; (4) Conclusions: The evaluation of patients’ verbal statements by qualitative analysis during the psychiatric examination should be considered in clinical practice. It should be considered to include self-poisoning in the criteria of the Non-suicidal Self-Injury diagnostic categories.

Peripheral and neural correlates of self-harm in children and adolescents: a scoping review

BACKGROUND

Self-harm in children and adolescents is difficult to treat. Peripheral and neural correlates of self-harm could lead to biomarkers to guide precision care. We therefore conducted a scoping review of research on peripheral and neural correlates of self-harm in this age group.

METHODS

PubMed and Embase databases were searched from January 1980-May 2020, seeking English language peer-reviewed studies about peripheral and neural correlates of self-harm, defined as completed suicide, suicide attempts, suicidal ideation, or non-suicidal self-injury (NSSI) in subjects, birth to 19 years of age. Studies were excluded if only investigating self-harm in persons with intellectual or developmental disability syndromes. A blinded multi-stage assessment process by pairs of co-authors selected final studies for review. Risk of bias estimates were done on final studies.

RESULTS

We screened 5537 unduplicated abstracts, leading to the identification of 79 eligible studies in 76 papers. Of these, 48 investigated peripheral correlates and 31 examined neural correlates. Suicidality was the focus in 2/3 of the studies, with NSSI and any type of self-harm (subjects recruited with suicidality, NSSI, or both) investigated in the remaining studies. All studies used observational designs (primarily case-control), most used convenience samples of adolescent patients which were predominately female and half of which were recruited based on a disorder. Over a quarter of the specific correlates were investigated with only one study. Inter-study agreement on findings from specific correlates with more than one study was often low. Estimates of Good for risk of bias were assigned to 37% of the studies and the majority were rated as Fair.

CONCLUSIONS

Research on peripheral and neural correlates of self-harm is not sufficiently mature to identify potential biomarkers. Conflicting findings were reported for many of the correlates studied. Methodological problems may have produced biased findings and results are mainly generalizable to patients and girls. We provide recommendations to improve future peripheral and neural correlate research in children and adolescents, ages 3-19 years, with self-harm.

Violência autoprovocada e suicídio em pessoas que vivem com HIV/AIDS: revisão sistemática

RESUMO Objetivos: analisar as produções intelectuais sobre a violência autoprovocada e suicídio em pessoas que vivem com HIV/AIDS. Métodos: revisão sistemática, realizada entre março e abril de 2021, nas bases PubMed®/MEDLINE®, Web of Science e LILACS, subsidiada no instrumento Strengthening the Reporting of Observational Studies in Epidemiology. O período delineado foi de 2011 a 2020. Resultados: identificaram-se 199 estudos, e 16 compuseram a amostra final, sendo agrupados nas categorias: Características sociodemográficas das vítimas de violência autoprovocada/suicídio e seus fatores intervenientes (apontando adultos jovens, especialmente homossexuais, com baixo suporte social e histórico de doenças mentais ou abuso de substâncias como as vítimas usuais); Medidas exitosas para prevenção/controle de suicídio em pessoas vivendo com HIV/AIDS (sugerindo acompanhamento psicossocial e clínico mais frequente daqueles em início de tratamento antirretroviral e imunodeprimidos). Conclusões: acompanhamento biopsicossocial, análise do perfil sociodemográfico e dos fatores intervenientes devem ser frequentes nesta população, para prevenção/controle do agravo.

Prospective examination of self-harm up to three years after contact with Child Protective Services (CPS)

We examined the prevalence and correlates of self-harm among adolescents in the three years following an investigation by U.S. Child Protective Services (CPS) into alleged child maltreatment. Participants (N = 1573, 47% Male, 45% White) were drawn from the National Survey of Child and Adolescent Well-Being, cohort II. Self-harm was assessed at the conclusion of the CPS investigation, and at 18- and 36-months follow-up. Descriptive statistics and multivariable logistic regression were used to assess differences in self-harm over time by demographic characteristics, maltreatment type, and out-of-home placement. The prevalence of self-harm among older adolescents (15-17 years) remained stable at ∼10%, while among younger adolescents (11-14 years), it declined from 13% to 3.5%. Approximately 4.5% of youth reported self-harm at multiple survey waves. Native American and Asian/Pacific Islander youth were five times more likely to report repeated self-harm. Further research is warranted to understand this heightened risk.

Nonsuicidal Self-Injury Disorder, Borderline Personality Disorder, and Lifetime History of Suicide Attempts among Male and Female Veterans with Mental Health Disorders

BACKGROUND

Expanding on research that has identified nonsuicidal self-injury (NSSI) as a strong predictor of suicide risk, the present study examined NSSI disorder (NSSID) and borderline personality disorder (BPD) as unique contributors to lifetime suicide attempts. To our knowledge, the present study represents the first exploration of these associations among veterans.

METHODS

Participants included 124 male (74%) and female (26%) veterans diagnosed with at least one mental health disorder. Posttraumatic stress disorder (93%) and major depression (86%) were the most common mental health diagnoses. Large proportions of the sample met criteria for NSSID (48%) and BPD (40%). Suicide attempts were reported by 28% of the sample. Chi-square tests determined the bivariate associations among NSSID, BPD, history of suicide attempts, and other variables. Significant diagnostic (i.e., MDD, BPD, and NSSID) and demographic (i.e., age) characteristics were included as covariates in a logistic regression model examining the associations of BPD and NSSID with suicide attempts.

RESULTS

BPD, Χ²=11.1, p<0.001, and NSSID, Χ²=13.9, p<0.001, were uniquely associated with suicide attempts. When all significant predictors were included in the final model, only NSSID emerged as a significant contributor to suicide attempts, OR = 4.9, p < 0.001.

LIMITATIONS

Causality cannot be determined from cross-sectional analyses.

CONCLUSION

These findings highlight NSSID as a powerful and unique correlate of suicide attempts among veterans, beyond the associations of established diagnostic risk factors. Improving our understanding of the relationship between NSSID and suicide risk has the potential to inform suicide prevention efforts and improve clinical outcomes among veterans.

Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study

BACKGROUND

A priority for health services is to reduce self-harm in young people. Predicting self-harm is challenging due to their rarity and complexity, however this does not preclude the utility of prediction models to improve decision-making regarding a service response in terms of more detailed assessments and/or intervention. The aim of this study was to predict self-harm within six-months after initial presentation.

METHOD

The study included 1962 young people (12-30 years) presenting to youth mental health services in Australia. Six machine learning algorithms were trained and tested with ten repeats of ten-fold cross-validation. The net benefit of these models were evaluated using decision curve analysis.

RESULTS

Out of 1962 young people, 320 (16%) engaged in self-harm in the six months after first assessment and 1642 (84%) did not. The top 25% of young people as ranked by mean predicted probability accounted for 51.6% - 56.2% of all who engaged in self-harm. By the top 50%, this increased to 82.1%-84.4%. Models demonstrated fair overall prediction (AUROCs; 0.744-0.755) and calibration which indicates that predicted probabilities were close to the true probabilities (brier scores; 0.185-0.196). The net benefit of these models were positive and superior to the 'treat everyone' strategy. The strongest predictors were (in ranked order); a history of self-harm, age, social and occupational functioning, sex, bipolar disorder, psychosis-like experiences, treatment with antipsychotics, and a history of suicide ideation.

CONCLUSION

Prediction models for self-harm may have utility to identify a large sub population who would benefit from further assessment and targeted (low intensity) interventions. Such models could enhance health service approaches to identify and reduce self-harm, a considerable source of distress, morbidity, ongoing health care utilisation and mortality.

Validation of the German capability for suicide questionnaire (GCSQ) in a high-risk sample of suicidal inpatients

BACKGROUND

The German Capability for Suicide Questionnaire (GCSQ) was developed to measure fearlessness of death and pain tolerance - two constructs central to the Interpersonal Theory of Suicide. Initial scale development, definition of the factor structure and confirmation of the two-dimensional factor structure was performed in samples suffering from relatively low levels of suicide ideation/behavior. The present study aimed to validate the German Capability for Suicide Questionnaire (GCSQ) in a high-risk sample of suicidal inpatients.

METHODS

Factor structure, reliability and validity were investigated in a sample of inpatients (N = 296; 53.0% female; age in years: M = 36.81, SD = 14.27) admitted to a hospital due to a recent suicide attempt or an acute suicidal crisis (in immediate need of inpatient treatment). To establish convergent validity, interview-based assessments of lifetime suicide attempts and non-suicidal self-injury as well as questionnaire-based assessments of painful and provocative events were used. Finally, stability of GCSQ-scores over a follow-up period of 12 months was assessed.

RESULTS

Results indicated good psychometric properties, and provided additional evidence for construct validity and stability of the subscales over a one-year period, and demonstrated adequate fit of the data with respect to the original factor structure.

CONCLUSIONS

Results suggest that the GCSQ is a brief, reliable, and valid measure of capability for suicide that can be used in clinic assessment and research.