Suicide and all-cause mortality in a high-risk cohort: A latent class approach

Identifying unique subgroups in suicide risks among psychiatric outpatients

BACKGROUND

The presence of psychiatric disorders is widely recognized as one of the primary risk factors for suicide. A significant proportion of individuals receiving outpatient psychiatric treatment exhibit varying degrees of suicidal behaviors, which may range from mild suicidal ideations to overt suicide attempts. This study aims to elucidate the transdiagnostic symptom dimensions and associated suicidal features among psychiatric outpatients.

METHODS

The study enrolled patients who attended the psychiatry outpatient clinic at a tertiary hospital in South Korea (n = 1, 849, age range = 18-81; 61% women). A data-driven classification methodology was employed, incorporating a broad spectrum of clinical symptoms, to delineate distinctive subgroups among psychiatric outpatients exhibiting suicidality (n = 1189). A reference group of patients without suicidality (n = 660) was included for comparative purposes to ascertain cluster-specific sociodemographic, suicide-related, and psychiatric characteristics.

RESULTS

Psychiatric outpatients with suicidality (n = 1189) were subdivided into three distinctive clusters: the low-suicide risk cluster (Cluster 1), the high-suicide risk externalizing cluster (Cluster 2), and the high-suicide risk internalizing cluster (Cluster 3). Relative to the reference group (n = 660), each cluster exhibited distinct attributes pertaining to suicide-related characteristics and clinical symptoms, covering domains such as anxiety, externalizing and internalizing behaviors, and feelings of hopelessness. Cluster 1, identified as the low-suicide risk group, exhibited less frequent suicidal ideation, planning, and multiple attempts. In the high-suicide risk groups, Cluster 2 displayed pronounced externalizing symptoms, whereas Cluster 3 was primarily defined by internalizing and hopelessness symptoms. Bipolar disorders were most common in Cluster 2, while depressive disorders were predominant in Cluster 3.

DISCUSSION

Our findings suggest the possibility of differentiating psychiatric outpatients into distinct, clinically relevant subgroups predicated on their suicide risk. This research potentially paves the way for personalizing interventions and preventive strategies that address cluster-specific characteristics, thereby mitigating suicide-related mortality among psychiatric outpatients.

Suicide from intimate partner and other relationship conflicts: demographic and clinical correlates'

BACKGROUND

A significant portion of suicides are precipitated by interpersonal relationship problems.

AIMS

To examine demographic and clinical correlates of any intimate partner conflicts (IPC) and other interpersonal conflicts (OPC) as suicide precipitants.

METHODS

We analyzed data on 92,805 (72,628 male; 20,177 female) adult suicide decedents from the 2017 to 2019 U.S. National Violent Death Reporting System, using multinomial and binary logistic regression models. We included case examples from coroners/medical examiner (CME) and law enforcement (LE) agency reports.

RESULTS

Of all decedents, 23.6% had IPC and 8.0% had OPC as a suicide precipitant. Compared to those without any relationship conflict, those who had IPC or OPC were younger and more likely to have had previous suicide attempt(s), alcohol/other substance use problems, and job/finance/housing and legal problems. Compared to those with OPC, those with IPC were more likely to be male and Hispanic and had higher odds of previous suicide attempt, depression diagnosis, alcohol problems, and more acute crises. CME/LE reports showed distress of divorce/break-up, other life stressors, prior suicide attempt(s), alcohol/other substance involvement, and/or loss of family support.

CONCLUSIONS

Access to behavioral health treatment for those at risk of suicide in the face of IPC or OPC is essential for suicide prevention.

Profiles, Correlates and Outcomes Among Patients Experiencing an Onset of Mental Disorder Based on Outpatient Care Received Following Index Emergency Department Visits

OBJECTIVE

This 5-year longitudinal study evaluated patients with an onset of mental disorder (MD) following index emergency department (ED) visits, in terms of (1) patient profiles based on 12-month outpatient follow-up care received, (2) sociodemographic and clinical correlates, and (3) adverse health outcomes for the subsequent 2 years.

METHODS

Data from administrative databases were collected for 2541 patients with an onset of MD, following discharge from Quebec ED. Latent class analysis was performed to identify patient profiles based on the adequacy of follow-up care after ED discharge. Bivariate analyses examined associations between class membership and sociodemographic and clinical correlates, high ED use (3 + visits/yearly), hospitalizations, and suicidal behaviors.

RESULTS

Five classes of patients were identified. Class 1, the smallest, labeled "patient psychiatrist only," included mainly young patients with serious MD. Classes 2 and 3, roughly 20%, were labeled "high use of patient general practitioner (GP) and psychiatrist" and "low use of patient GP and psychiatrist," respectively. Both included patients with complex MD, but Class 2 had more women and older patients with chronic physical illnesses. The 2 largest classes were labeled "no usual patient service provider" (Class 5) and "patient GP only" (Class 4). Class 5 included more younger men with substance-related disorders, while Class 4 had the older patients living in rural areas, many with common MD and chronic physical illnesses. Class 3 patients had the poorest outcomes, followed by Classes 1 and 2, while Classes 4 and 5 had the best outcomes.

CONCLUSIONS

Results revealed that nearly 40% of patients experiencing an onset of MD received little or no outpatient care following ED discharge. Higher severity or complexity of MD and, to a lesser extent, no or low GP follow-up may explain these adverse outcomes. More adequate, continuous care, including collaborative care, is needed for these vulnerable, high-needs patients.

Suicidal Behavior in Adolescents: A Latent Class Analysis

The main goal of the present study was to identify and validate latent classes of suicidal behavior in a representative sample of adolescents. The sample comprised a total of 1506 students, including 667 males (44.3%), selected through a sample stratified by clusters. The mean age was 16.15 years (SD = 1.36). The instruments used evaluated suicidal behavior, positive and negative affect, emotional and behavioral problems, prosocial behavior, and subjective well-being. Using the Paykel Suicide Scale, the latent class analysis identified four homogeneous subgroups: “low risk”, “suicidal act”, “suicidal ideation”, and “high risk for suicide”. These subgroups presented a differential pattern in terms of their social-emotional adjustment. The subgroups with the highest theoretical risk showed lower scores on subjective well-being and positive affect as well as higher scores on emotional and behavioral problems and negative affect compared to the non-risk subgroups. This study contributes to an understanding of the typologies of suicidal behavior among adolescents and the relationship with psychopathological adjustment. Ultimately, these findings may promote the development or improvement of early detection and prevention strategies in the suicidal behavior field in order to reduce the socio-economic burdens associated with suicide in young populations.

Potential influence of physical, psychological and lifestyle factors on the association between television viewing and depressive symptoms: A cross-sectional study

OBJECTIVE

To investigate the potential influence of physical, psychological, and lifestyle factors on the association between TV-viewing and depressive symptoms among Brazilian adults.

METHODS

We used cross-sectional data from the Brazilian National Survey, conducted in 2013 with 60,202 adults (≥18 years). Information regarding exposure (TV-viewing), potential influencing factors (multimorbidity, mobility, self-rated health, tobacco use, alcohol consumption, sugar consumption, and physical activity) as well as elevated depressive symptoms (through PHQ-9 - score > 9) (outcome) was collected via interview-administered questionnaires. Data on covariates were self-reported. Body mass index was estimated through the assessment of body mass and stature. Mediation models were estimated through the Karlson-Holm-Breen method.

RESULTS

Individuals who reported >5 h/d of TV viewing showed a higher prevalence of depressive symptoms than those with <5 h/d of TV viewing [8.1%(99%CI:7.6%-8.6%) vs 14.2%(99%CI:12.2%-16.6%)]. The association between TV-viewing and depressive symptoms was influenced by tobacco use (Overall: 7.22%; men: 4.46%, women: 8.59%), physical activity (men: 3.99%, women: 2.28%), mobility (overall: 11.31%, men: 10.85%, women: 11.03%), and multimorbidity (overall: 9.11%, men: 11.6%, women: 6.03%). Poor self-rated health influenced the association between TV-viewing and elevated depressive symptoms only among men (15.55%). Similarly, the association between >4 h/d of TV viewing and depressive symptoms was influenced by tobacco use (men: 6.8%, women: 11.7%), physical activity for women (5.5%), self-rated health for men (14.7%), mobility (men: 8.7%, women: 17.0%), and multimorbidity (men: 9.6%, women: 12.3%).

CONCLUSIONS

Tobacco use, physical activity, mobility, multimorbidity, and self-rated health (men) mediate the relationship between high TV-viewing and elevated depressive symptoms. Longitudinal research is required to confirm/refute our data which may also be useful to contribute to public health interventions.