Prediction of suicidal behavior using self-reported suicidal ideation among patients with bipolar disorder

Suicide Probability Among Patients With Schizophrenia and Bipolar Disorder

PURPOSE

To evaluate the possibility of suicide and related factors among individuals with schizophrenia and bipolar disorder (BD).

METHOD

Data were collected for 270 individuals registered in a community mental health center using the Suicide Probability Scale (SPS). Subsequently, t test and multiple linear regression analyses were conducted on independent samples.

RESULTS

There was no statistically significant difference found between mean SPS scores of participants with schizophrenia and BD. However, hostility subscale mean scores of participants with schizophrenia were higher than those of participants with BD, and the difference was statistically significant. Sex, family history of mental illness, need for help with medication, suicidal ideation in the past 10 days, and number of suicide attempts were important predictors of suicide probability.

CONCLUSION

Individuals with schizophrenia and BD and in remission should be evaluated periodically for the possibility of suicide. [Journal of Psychosocial Nursing and Mental Health Services, 62(8), 37-45.].

Unlocking the link between temporomandibular disorders and suicide ideation in pre-orthodontic patients: A moderated mediation model of depression and anxiety

BACKGROUND

Temporomandibular disorders (TMD) are a series of musculoskeletal diseases with high prevalence. A few studies have reported the correlation between TMD and suicide ideation (SI). However, the underlying mechanism of the relationship lacks in-depth exploration.

METHODS

A cross-sectional study was conducted among 954 pre-orthodontic patients. TMD assessment was based on the quintessential five TMD symptoms (5Ts) questionnaire. Anxiety, depression and pain catastrophizing was evaluated by Seven-item Generalized Anxiety Disorder Scale (GAD-7), Nine-item Patient Health Questionnaire (PHQ-9), and Pain Catastrophizing Scale (PCS), respectively. Correlational and moderated mediated analysis was preformed to demonstrate the relationship between TMD and SI.

RESULTS

In pre-orthodontic patients, 31.87 % reported having TMD symptoms and 6.50 % declared SI during the past two weeks. The SI prevalence was 10.53 % in participants with TMD and 4.62 % in those without TMD. Intra-articular TMD, rather than pain-related TMD were especially related with SI. Individuals with TMD had higher risk to SI (rs = 0.112, adjusted OR = 2.213, p < 0.001). The effect of TMD on SI was fully mediated through depression (β = 0.445, 95 % CI = [0.326, 0.563]). Anxiety exerted a negative moderating effect on the depression-SI relation (β = -0.033, 95 % CI = [-0.047, -0.019]).

LIMITATIONS

This study was a single-centered and cross-sectional survey. The data collection relied on self-reporting methods.

CONCLUSIONS

A positive link between TMD and SI was disclosed. The effect of TMD on SI was fully mediated through depression with anxiety as a negative moderator.

The collective impact of childhood abuse, psychache, and interpersonal needs on suicidal ideation among individuals with bipolar disorder: A discriminant analysis

BACKGROUND

Suicide is one of the ten leading causes of death in the United States. Childhood abuse, psychache (intense emotional pain), and interpersonal needs are widely known to be associated with suicidal thoughts and behaviors. However, only a limited number of studies investigate whether these variables, when analyzed collectively, are able to distinguish between a group of individuals who report suicidal ideation and those who deny such thoughts.

PARTICIPANTS AND SETTING

Data were collected from individuals (N =177) with a diagnosis of bipolar disorder participating in an intensive outpatient program that provides mental health care to indigent, mostly minority patients in Southeast United States.

METHODS

The dependent variable was item number 9 on the Beck Depression Inventory that asks about any suicidal thoughts in the past two weeks. We utilized discriminant analysis to test whether childhood abuse, interpersonal needs, and psychache were collectively able to accurately identify group membership of the study participants.

RESULTS

The discriminant model included six independent variables: three different types of childhood abuse (emotional, physical, and sexual), interpersonal needs (perceived burdensomeness and thwarted belongingness), and psychache. Results revealed that the model was able to correctly classify group membership in 75% of the individuals in the study.

CONCLUSION

In context of bipolar disorder, history of childhood abuse (particularly sexual and emotional abuse), intense psychache, and greater perceived thwarted belongingness and burdensomeness put an individual at a higher risk of suicidal ideation. Gaining insight into the interactions among these variables may lead to formulating early interventions to prevent suicide in patients reporting this constellation of symptoms.

An efficient landmark model for prediction of suicide attempts in multiple clinical settings

Growing evidence has shown that applying machine learning models to large clinical data sources may exceed clinician performance in suicide risk stratification. However, many existing prediction models either suffer from "temporal bias" (a bias that stems from using case-control sampling) or require training on all available patient visit data. Here, we adopt a "landmark model" framework that aligns with clinical practice for prediction of suicide-related behaviors (SRBs) using a large electronic health record database. Using the landmark approach, we developed models for SRB prediction (regularized Cox regression and random survival forest) that establish a time-point (e.g., clinical visit) from which predictions are made over user-specified prediction windows using historical information up to that point. We applied this approach to cohorts from three clinical settings: general outpatient, psychiatric emergency department, and psychiatric inpatients, for varying prediction windows and lengths of historical data. Models achieved high discriminative performance (area under the Receiver Operating Characteristic curve 0.74-0.93 for the Cox model) across different prediction windows and settings, even with relatively short periods of historical data. In short, we developed accurate, dynamic SRB risk prediction models with the landmark approach that reduce bias and enhance the reliability and portability of suicide risk prediction models.

Detailed assessment of suicidal ideation in youth with bipolar disorder versus major depressive disorder

OBJECTIVES

There is a critical need to better understand the factors underlying the increased suicide risk for youth with bipolar disorder (BD) in order to develop targeted prevention efforts. This study aimed to examine differences in characteristics of suicide ideation (SI) in youth with BD compared to youth with major depressive disorder (MDD) that may be associated with increased suicide risk.

METHODS

One hundred and fifty-one participants (92 MDD and 59 BD), ages 13-21, completed a diagnostic interview and clinical assessments. Lifetime symptoms of SI and SA were assessed using the Columbia Suicide Severity Rating Scale. Ordinal logistic regression models were used to investigate whether the diagnostic group predicted the severity and intensity of the most severe or most common SI with the age of onset, age, and gender as covariates.

RESULTS

Compared to MDD youth, BD youth were more likely to report experiencing more severe SI, p = 0.039, experiencing the most severe SI more frequently, p = 0.002, having less control of the most severe SI, p = 0.012, and that deterrents were less likely to stop them from acting on the most severe SI, p = 0.006.

CONCLUSION

This study highlights differences in the severity and intensity of SI in youth with BD and suggests that youth with BD have greater difficulty inhibiting thoughts of SI which may lead to less resistance to suicide action. Findings underscore the need for a more detailed assessment of SI in youth with BD to better understand SI as a proximal risk factor for future SA and a potential target for intervention.