Characteristic Risk Factors Associated with Planned versus Impulsive Suicide Attempters

Differentiation between suicide attempt and suicidal ideation in patients with major depressive disorder using cortical functional network

Studies exploring the neurophysiology of suicide are scarce and the neuropathology of related disorders is poorly understood. This study investigated source-level cortical functional networks using resting-state electroencephalography (EEG) in drug-naïve depressed patients with suicide attempt (SA) and suicidal ideation (SI). EEG was recorded in 55 patients with SA and in 54 patients with SI. Particularly, all patients with SA were evaluated using EEG immediately after their SA (within 7 days). Graph-theory-based source-level weighted functional networks were assessed using strength, clustering coefficient (CC), and path length (PL) in seven frequency bands. Finally, we applied machine learning to differentiate between the two groups using source-level network features. At the global level, patients with SA showed lower strength and CC and higher PL in the high alpha band than those with SI. At the nodal level, compared with patients with SI, patients with SA showed lower high alpha band nodal CCs in most brain regions. The best classification performances for SA and SI showed an accuracy of 73.39%, a sensitivity of 76.36%, and a specificity of 70.37% based on high alpha band network features. Our findings suggest that abnormal high alpha band functional network may reflect the pathophysiological characteristics of suicide and serve as a clinical biomarker for suicide.

Investigating Associations of Substance Use and Dependence With Planned Versus Unplanned Suicide Attempt

OBJECTIVE

The present analyses investigated substance use and dependence as correlates of past-year suicide attempt and of unplanned versus planned suicide attempt in a nationally representative sample.

METHOD

Participants were 214,505 adults (52% female; 64% White, 12% Black, <1% Native American, <1% Pacific Islander, 6% Asian, 16% Hispanic, 2% multiracial) from the 2015-2019 National Surveys on Drug Use and Health. Four logistic regression models were constructed. Models 1 and 2 examined substance use and dependence, respectively, as correlates of suicide attempt. Models 3 and 4 evaluated whether substance use and dependence were related to suicide attempt in the absence of a plan.

RESULTS

In Models 1 and 2, higher cigarette smoking and marijuana use; any use of opioids, sedatives, and hallucinogens; and greater dependence on nicotine, alcohol, marijuana, and any illicit or prescription drug were associated with elevated risk for suicide attempt. Associations with cigarette smoking, sedative use, and dependence on nicotine, alcohol, and any illicit or prescription drug remained statistically significant in sensitivity analyses limited to individuals with suicidal ideation. In Models 3 and 4, substance use and dependence were unrelated to risk for unplanned (vs. planned) suicide attempt.

CONCLUSIONS

Although substance-related outcomes are consistently associated with suicide attempt, there was little evidence that substance use and dependence are related to risk for unplanned versus planned suicidal behavior.

The role of premeditation in suicide: Identifying factors associated with increased planning among suicide decedents

INTRODUCTION

Suicide premeditation is a critical factor to consider when assessing suicide risk. Understanding which individuals are more or less likely to plan their suicidal behavior can shed light on how suicidal thoughts turn into actions.

METHOD

The present study used psychological autopsy data to identify factors associated with level of premeditation among 131 adults who died by suicide.

RESULTS

Logistic regression analyses indicated that suicide decedents with higher premeditation scores had higher odds of being diagnosed with a depressive disorder and choosing a violent suicide method, specifically a firearm. Individuals with lower premeditation scores had higher odds of being diagnosed with a polysubstance use disorder.

CONCLUSION

Suicide decedents exhibiting greater premeditation before their deaths were different in several ways from suicide decedents exhibiting less premeditation. A better understanding of suicide premeditation can ultimately aid in the development of improved risk assessments and targeted safety interventions for those struggling with suicidal thoughts.

The mediating effect of life satisfaction and the moderated mediating effect of social support on the relationship between depression and suicidal behavior among older adults

OBJECTIVES

This study aimed to investigate the effect of depression on suicidal behavior among older adults and identify the mediating effect of life satisfaction on the relationship between depression and suicidal behavior. The moderated mediating effects of social support through life satisfaction were also verified in the relationship between depression and suicidal behavior among older adults.

METHODS

A total of 1375 people aged 65 years or older living in J city, South Korea, were recruited to complete a survey on depression, life satisfaction, suicidal behavior, and social support. Data were analyzed using SPSS24.0 and SPSS PROCESS Macro.

RESULTS

The results showed that the effect of depression on suicidal behavior was mediated by life satisfaction, and the effect of life satisfaction on suicidal behavior varied according to the level of social support. Moreover, depression negatively affected life satisfaction, increasing the risk of suicidal behavior, and social support decreased suicidal behavior. Finally, the mediating effect of depression leading to suicidal behavior through life satisfaction was moderated by social support.

CONCLUSIONS

These findings suggest that it is necessary not only to find interventions for older adults to increase their physical, mental, and socioeconomical satisfaction with life, but also to build social networks that increase social support for them.

The GSK3-NRF2 Axis in Suicide

Mutations in the genes coding for tryptophan-hydrolase-2 and the scaffold protein FKBP5 are associated with an increased risk of suicide. The mutation in both cases enhances the enzymatic activity of glycogen synthase kinase-3 (GSK3). Conversely, anti-suicidal medications, such as lithium, clozapine, and ketamine, indirectly inhibit the activity of GSK3. When GSK3 is active, it promotes the metabolic removal of the transcription factor NRF2 (nuclear factor erythroid 2-related factor-2), which suppresses the transcription of multiple genes that encode anti-oxidative and anti-inflammatory proteins. Notably, several suicide-biomarkers bear witness to an ongoing inflammatory process. Moreover, alterations in serum lipid levels measured in suicidal individuals are mirrored by data obtained in mice with genetic deletion of the NRF2 gene. Inflammation is presumably causally related to both dysphoria and anger, two factors relevant for suicide ideation and attempt. Preventing the catabolism of NRF2 could be a strategy to obtain novel suicide-prophylactic medications. Possible candidates are minocycline and nicotinic-α7 agonists. The antibiotic minocycline indirectly activates NRF2-transcriptional activity, whereas the activation of nicotinic-α7 receptors indirectly inhibits GSK3.

Effectiveness of Suicide-Focused Psychosocial Interventions in Psychosis: A Systematic Review and Meta-Analysis

OBJECTIVE

Suicide ideation, plan, attempt, and death are significant and prevalent concerns among individuals with psychosis. Previous studies have focused on risk factors, but few have systematically evaluated the effect of psychosocial interventions on these experiences among individuals with psychosis. This study evaluated the effectiveness of psychosocial interventions in reducing suicide ideation, plan, attempt, and death among individuals with psychotic symptoms.

METHODS

Eight electronic databases were systematically searched from inception until June 30, 2019. Identified studies included both randomized controlled trials and controlled trials without randomization that examined psychosocial interventions for suicide ideation, plan, attempt, and death among individuals with psychotic symptoms. A random-effects model was used to pool the effect sizes for synthesis.

RESULTS

Eleven studies with 14 effect sizes (N=4,829 participants) were analyzed. The average age of participants ranged from 21 to 51, and most participants identified as male and non-Hispanic Caucasian or Chinese and were in an early or first-episode stage of illness. On average, participants who received psychosocial interventions were less likely than their counterparts in the control group to report suicide ideation, plan, and attempt and die by suicide (odds ratio [OR]=0.57, 95% confidence interval [CI]=0.41-0.78). Subgroup analyses further revealed significant reductions in suicide ideation (OR=0.73, 95% CI=0.55-0.97) and suicide death (OR=0.45, 95% CI=0.30-0.68) among intervention participants.

CONCLUSIONS

Preliminary evidence indicated that psychosocial interventions are effective in reducing suicide ideation, plan, attempt, and death among individuals with psychotic symptoms. Intervention characteristics, however, varied across studies, which suggests a lack of consensus on best clinical practices.

Predicting Planned Suicide Attempts With the Columbia-Suicide Severity Rating Scale: A Subanalysis of the 2013 Korea National Suicide Survey on Emergency Department Visitors

Identifying predictors of planned suicide attempts (PSA) is critical because these are associated with grave consequences. Using data of suicide attempters visiting emergency departments, we investigated whether the Columbia-Suicide Severity Rating Scale (C-SSRS) subscales, by retrospectively evaluating ideation before an attempt, could predict the occurrence of PSA versus unplanned suicide attempts using logistic regression analyses. The severity subscale was used as a continuous (model A) and a categorical (model B) variable. In model A, higher scores on each subscale were associated with increased risk of PSA. In model B, the highest score on the severity subscale and a higher intensity subscale score predicted PSA. The severity and intensity subscales had areas under receiver operating curves of 0.712 and 0.688 with optimum cutoff points of 4/5 and 15/16, respectively. In addition, being aged 30 to 49 and 50 to 69 years, being male, interpersonal stress, and depressive and adjustment disorders increased PSA risk. The C-SSRS subscales, along with sociodemographic and clinical risk factors, can predict PSA.

Age and sex-related differences in risk factors for elderly suicide: Differentiating between suicide ideation and attempts

OBJECTIVE

The purpose of this study was to analyze the age and sex-related differences in socio-demographic factors that influence suicide ideation and attempts in the elderly.

METHODS

The total number of subjects was 93 151, of whom 8441 belonged to the high suicide-risk group (2064 male; 6377 female). Following this identification, we investigated their socio-demographic information, health status, and depressive symptoms, which might have influenced their suicide ideation and attempts.

RESULTS

Residence in an urban area was identified as a risk factor for both male and female elderly in their 60s and 70s and female elderly in their 80s. Marital status showed a different influence on suicide ideation depending on age and sex. A negative perception of one's own health status was a significant risk factor that increased the likelihood of suicide ideation in all ages, except the female elderly in their 60s. No factor was identified that significantly influenced suicide attempts in the male elderly. However, in the female elderly, residence in an urban area and a negative perception of one's own health status were identified as significant risk factors.

CONCLUSIONS

This study revealed that factors known to influence suicide ideation in the elderly from previous studies, such as residence area, separation from a spouse, education level, religion, and drinking, show changed influence as the elderly reach their 70s and 80s. However, a negative perception of one's own health status was a risk factor that encompassed most ages and sexes.

The Relationship between Ghrelin and Copeptin Levels, and Anxiety and Depression Levels in Suicide Attempts

Objective

It was aimed to detect acylated ghrelin (AG), unacylated ghrelin (UG) and copeptin levels in patients with suicide attempts and to determine if these biomarkers are risk factors for suicide attempts.

Methods

Serum copeptin, AG and GU levels were screened in 128 patients who were admitted to emergency department with suicide attempts and 59 healthy controls. Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI) were applied simultaneously, and the data were compared statistically.

Results

AG, UG and copeptin levels were higher in the patient group compared with the healthy control group. BAI scores of patients were found to be positively correlated with BDI scores. While there was a significant difference (p=0.0064) between psychiatric and non-psychiatric patients with suicide attempts in terms of BAI scores, there were no differences in BDI scores and levels of biomarkers. We found significantly increased BDI and BAI scores and increased levels of AG, UG and copeptin in psychiatric and non-psychiatric patients compared with healthy individuals. The specificities yielded by receiver operating characteristic curve analysis in patients with suicide attempts were as follows: 91.53% for AG, 72.88% for UG and 94.92% for copeptin.

Conclusion

Serum levels of AG, UG and copeptin increase with increasing anxiety and depression in patients with suicide attempts. Increased levels of AG, UG and copeptin could be considered a risk factor for suicide attempts.

Predictors of Suicide Attempts in Clinically Depressed Korean Adolescents

We examined predictors of suicide attempts in clinically depressed adolescents in Korea and gender differences in suicidal behavior. In total, 106 adolescents diagnosed with depressive disorder were recruited in South Korea. We assessed various variables that might affect suicide attempts, and used a structured interview for the diagnosis of depression and comorbidities and to evaluate suicidality. Demographic and clinical characteristics of the subjects were compared between suicide attempt and non-suicide attempt groups and we examined significant predictors of suicide attempts. Gender differences in suicidal ideation and suicidal behavior were also analyzed. Among 106 depressed participants, 50 (47.2%) adolescents were classified in the suicide attempt group. Generally, the suicide attempt and non-suicide attempt group shared similar clinical characteristics. The suicide attempt group had more females, more major depressive disorder diagnoses, more depressive episodes, and higher suicidal ideation than the non-suicide attempt group. Suicidal ideation was the only significant predictor of suicidal attempt, regardless of gender. Higher suicidal ideation frequency scores and more non-suicidal self-injurious behaviors were shown in the female suicide attempt group than the male suicide attempt group. It is recommended that suicidal ideation be assessed regularly and managed rigorously to decrease suicide risks in depressive adolescents.