Symptoms of mental disorder, particularly schizophrenia, predispose to victimization. Much less is known about the relationship between depressive symptoms and later victimization in the general population, the influence of these symptoms on types of subsequent victimization, or the role of symptom severity. We investigated this in nationally representative data from the United Kingdom.

Data were from the Adult Psychiatric Morbidity Survey 2007. Multivariable logistic regressions estimated association between (a) prior depressive symptoms, (b) prior depressive symptoms with suicide attempt, and types of more recent victimization. Gender-specific associations were estimated using multiplicative interactions.

Prior depressive symptoms were associated with greater odds of any recent intimate partner violence (IPV), emotional IPV, sexual victimization, workplace victimization, any victimization, and cumulative victimization (adjusted odds ratio [aOR] for increasing types of recent victimization: 1.47, 95% confidence interval [CI]: 1.14, 1.89). Prior depressive symptoms with suicide attempt were associated with any recent IPV, emotional IPV, any victimization, and cumulative victimization (aOR for increasing types of recent victimization: 2.33, 95% CI: 1.22, 4.44). Self reported recalled data on previous depressive symptoms may have limited accuracy. Small numbers of outcomes for some comparisons results in imprecision of these estimates.

Aside from severe mental illness such as schizophrenia, previous depressive symptoms in the general population are associated with greater subsequent victimization. Men and women with prior depressive symptoms may be vulnerable to a range of types of victimization, and may benefit from interventions to reduce this vulnerability.

Self-harm is common in prisoners. There is an association between self-harm in prisoners and subsequent suicide, both within prison and on release. The aim of this study is to develop and evaluate a prediction model to identify male prisoners at high risk of self-harm.

We developed an 11-item screening model, based on risk factors identified from the literature. This screen was administered to 542 prisoners within 7 days of arrival in two male prisons in England. Participants were followed up for 6 months to identify those who subsequently self-harmed in prison. Analysis was conducted using Cox proportional hazard regression. Discrimination and calibration were determined for the model. The model was subsequently optimized using multivariable analysis, weighting variables, and dropping poorly performing items.

Seventeen (3.1%) of the participants self-harmed during follow up (median 53 days). The strongest risk factors were previous self-harm in prison (adjusted hazard ratio [aHR] = 9.3 [95% CI: 3.3–16.6]) and current suicidal ideation (aHR = 7.6 [2.1–27.4]). As a continuous score, a one-point increase in the suicide screen was significantly associated with self-harm (HR = 1.4, 1.1–1.7). At the prespecified cut off score of 5, the screening model was associated with an area under the curve (AUC) of 0.66 (0.53–0.79), with poor calibration. The optimized model saw two items dropped from the original screening tool, weighting of risk factors based on a multivariable model, and an AUC of 0.84 (0.76–0.92).

Further work is necessary to clarify the association between risk factors and self-harm in prison. Despite good face validity, current screening tools for self-harm need validation in new prison samples.

Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) have emerged as important peripheral inflammatory biomarkers. Recent data suggest a possible role of the immune system in the pathophysiology of suicidal behavior (SB). The aim of this study is to evaluate the association among NLR, MLR, and PLR and SB in patients with major depressive disorder (MDD), and to test its validity as a biomarker for suicidality.

We evaluated 538 patients with MDD (mean age [standard deviation] = 43.87 [14.36] years; females: 68.8%). A logistic regression model was estimated to determine the independent factors associated with suicide risk in patients with and without a history of suicide attempt (SA).

Three hundred ninety-three patients (74.7%) had a personal history of SA. Patients with a previous SA were more frequently female (71.9% vs. 59.6%; p = 0.007), significantly younger (41.20 vs. 51.77 years; p < 0.001), had lower depression severity at enrolment (15.58 vs. 18.42; p < 0.000), and significantly higher mean NLR and PLR ratios (2.27 vs. 1.68, p = 0.001; 127.90 vs. 109.97, p = 0.007, respectively). In the final logistic regression model, after controlling for age, sex, and depression severity, NLR was significantly associated with SB (β = 0.489, p = 0.000; odds ratio [95% confidence intervals] = 1.631 [1.266–2.102]). We propose a cut-off value of NLR = 1.30 (sensitivity = 75% and specificity = 35%).

Our data suggest that NLR may be a valuable, reproducible, easily accessible, and cost-effective strategy to determine suicide risk in MDD.

Suicide is major cause of death in the IDF. The Suicide Prevention Program (SPP) led to significant reduction in yearly rates of suicide. A study regarding demographic changes of those who died by suicide was done to further investigate its affect.

Nested case control retrospective study based on medical and HR data gathered between 1992 and 2016. Participants were divided into four groups: soldiers who died by suicide and non-suicidal soldiers, before and after SPP implementation.

Multivariate analysis with suicide as the binary logistic dependent variable before and after implementation of the SPP among four groups revealed that before SPP the OR was higher for males (OR, 7.885; 95% CI, 5.071–12.259;p < 0.001) compared to after (OR, 3.281; 95% CI, 1.600–6.726; p = 0.001). For support unit soldiers the values before SPP were OR, 14.962 and 95% CI, 8.427–26.563 (p < 0.001) while after SPP they were OR, 6.304 and 95% CI, 3.334–11.919 (p < 0.001). After SPP, OR was higher for psychiatric diagnosis at recruitment (OR, 5.830; 95% CI, 2.046–16.612; p = 0.001) than before SPP (OR, 2.422; 95% CI, 1.526–3.842; p < 0.001).For soldiers from Ethiopian ethnicity, after SPP values were higher (OR, 8.130 and 95% CI, 2.868–23.047 (p < 0.001) compared to before (OR, 3.522; 95% CI, 1.2891–6.650; p < 0.001). For those of Druse religion before values (OR, 4.027; 95% CI, 2.211–7.331; p < 0.001) were significant but not after.

While the SPP succeeded in reducing risk of suicide in situational factors, dispositional risk factors were not affected by the SPP. The OR decreased in critical masses and rose in unique and smaller groups.

Over the past several years there has been considerable interest in the relation between emotion dysregulation and non-suicidal self-injury (NSSI), particularly given that rates of NSSI have been increasing and NSSI is a critical risk factor for suicidal behavior. To date, however, no synthesis of empirical findings exists.

The present study presents a comprehensive meta-analytic review of the literature on the association between NSSI and emotion dysregulation. A total of 48 publications, including 49 independent samples, were included in this analysis.

Overall, a significant association was found between emotion dysregulation and NSSI (pooled OR = 3.03 [95% CI = 2.56–3.59]). This association was reduced but remained significant (OR = 2.40 [95% CI = 2.01–2.86]) after adjustment for publication bias. Emotion dysregulation subscales most strongly associated with NSSI included limited access to regulation strategies, non-acceptance of emotional responses, impulse control difficulties, and difficulties engaging goal-directed behavior. Lack of emotional awareness/clarity and cognitive aspects of dysregulation yielded weaker, yet significant, positive associations with NSSI.

Findings support the notion that greater emotion dysregulation is associated with higher risk for NSSI among individuals across settings, regardless of age or sex. Furthermore, findings reveal facets of dysregulation that may have unique implications for NSSI. This meta-analysis highlights the importance of better understanding emotion dysregulation as a treatment target for preventing NSSI.

Despite increased awareness that non-suicidal self-injury (NSSI) poses a significant public health concern on college campuses worldwide, few studies have prospectively investigated the incidence of NSSI in college and considered targeting college entrants at high risk for onset of NSSI.

Using data from the Leuven College Surveys (n = 4,565; 56.8%female, Mage = 18.3, SD = 1.1), students provided data on NSSI, sociodemographics, traumatic experiences, stressful events, perceived social support, and mental disorders. A total of 2,163 baseline responders provided data at a two-year annual follow-up assessment (63.2% conditional response rate).

One-year incidence of first onset NSSI was 10.3% in year 1 and 6.0% in year 2, with a total of 8.6% reporting sporadic NSSI (1–4 times per year) and 7.0% reporting repetitive NSSI (≥ 5 times per year) during the first two years of college. Many hypothesized proximal and distal risk factors were associated with the subsequent onset of NSSI (ORs = 1.5–18.2). Dating violence prior to age 17 and severe role impairment in daily life were the strongest predictors. Multivariate prediction suggests that an intervention focused on the 10% at highest risk would reach 23.9% of students who report sporadic, and 36.1% of students who report repetitive NSSI during college (cross-validated AUCs =.70–.75).

The college period carries high risk for the onset of NSSI. Individualized web-based screening may be a promising approach for detecting young adults at high risk for self-injury and offering timely intervention.

There is an ongoing debate on the effectiveness of suicidal behavior prevention measures in the military. The association of three widely used tools with severe suicide attempts was assessed in this setting.

Thirty-nine Israeli soldiers (59% males), mean age 19 yrs., who attempted suicide during military service were divided into two groups: severe (n = 14; 35.9%) and moderate suicide attempts, and were assessed using the Scale for Suicide Ideation (SSI), Suicide Intent Scale (SIS) and the Columbia Suicide Severity Rating Scale (C-SSRS).

Seven items from the SSI (p = 0.008), two items from SIS and one item from C-SSRS were associated with severe suicide attempts. Kendall’s tau-b correlation with bootstrap demonstrated stability of these correlations.

Greater severity of suicidal ideation was associated with more severe suicide attempts. The combination of male gender, available firearms and current severe suicide ideation is high-risk danger sign in a military setting, even when reported intent to die is low.

To extend evidence on the short-term variability of passive and active suicidal ideation (SI) and the association with suggested proximal risk factors such as interpersonal variables (perceived burdensomeness [PB], thwarted belongingness [TB], hopelessness, and depression) in real-time.

This is an observational study using a prospective design applying ecological momentary assessments (EMA). Eligible for study inclusion were inpatients with unipolar depression, current or lifetime suicidal ideation, and fluent German. Over six days, 74 participants rated their momentary level of passive and active SI, PB, TB, depressiveness, and hopelessness up to 10 times per day on smartphones. Data was collected from August 2015 to July 2017. Compliance was excellent (89.7%).

Mean squared successive differences supported temporal instability for all variables. According intra-class correlations, between 25% and 47% of variance was accounted for by within-person variability. Multilevel analysis demonstrated significant positive associations between hopelessness, depressiveness, PB, and TB with passive SI. Prospectively, hopelessness and PB remained predictors of passive SI. For active SI, hopelessness, depression, PB, and TB were significantly associated cross-sectionally. Prospectively, hopelessness, PB, and the interaction PBxTB predicted active SI. All models were controlled for previous level of SI.

This study provides further evidence on the short-term variability of SI in very short time frames implying the need of assessing SI repeatedly in clinical and research settings. The associations between interpersonal variables and passive and active SI were only partial in line with assumptions of the Interpersonal Theory of Suicide. Overall, the effects were small warranting further investigation.