Suicide Risk across Latent Class Subgroups: A Test of the Generalizability of the Interpersonal Psychological Theory of Suicide

Do We Belong? Examining the Associations Between Adolescents' Perceptions of School Belonging, Teacher Discrimination, Peer Prejudice and Suicide

In the USA, suicide is a leading cause of death for adolescents ages 12 to 18 (National Institute of Mental Health (NIMH), 2019). Given the urgency of this public health crisis, this paper aims to explore the impact of a sense of school belonging and teacher-based discrimination and peer-based prejudice on suicidal ideation and attempts among Black youth. This secondary analysis used a sample of Black youth (N = 4229; Mage = 16) from the National Longitudinal Study of Adolescents to Adult Health data. Independent variables included a sense of school belonging, school-based teacher discrimination, and school-based peer prejudice; the dependent variable was suicidal thoughts and behaviors. The results of multinomial regression analyses revealed that as Black adolescents' sense of school belonging decreased, they were 35% more likely to be at risk for suicidal ideation and attempts. Findings from our study support the assertion that the school microsystem plays a substantial role in modifying the risk of suicidal behavior among Black youth.

Characteristics of suicide attempts in Northwestern Iran: a five-year population-based survey

BACKGROUND

Suicide is a serious public health problem in the world. This study aims to describe the characteristics of suicide attempters in North-Western Iran and identify latent classes of suicide attempts.

METHODS

This cross-sectional study was conducted in Ardabil Province (Northwest Iran) during 2017-2021 based on a registration system for suicide attempts. We performed latent class analysis (LCA) using a procedure for LCA (PROC LCA) in SAS to investigate the subgroups of suicide attempters based on their characteristics and method, history, and outcome of suicide.

RESULTS

Three latent classes were identified for males and females; the first class (non-lethal attempters with lower educational levels) comprised 41.3% of males and 55.4% of females. The second class (non-lethal attempters with higher educational levels) described 52.4% of males and 42.7% of females. Finally, the third class (lethal attempters) included 6.4% of males and 1.9% of females. The main method of suicide attempts was poisoning with medications (87.3%). The results show that only 2.8% of people have a history of suicide attempts. Also, the suicide rate reached 8.26 per 100,000 population in 2021.

CONCLUSION

The present study showed an increasing trend of suicide attempt incidence rate in Ardabil Province from 2017 (99.49 per 100,000 population) to 2021 (247.41 per 100,000 population). This means that the rate of change was 147.92 per 100,000 population during the study period. The findings of LCA, stress the necessity of identification and prioritization of unmet needs of people who had an incomplete suicide in Ardabil.

A latent class analysis using the integrated motivational-volitional model of suicidal behaviour: Understanding suicide risk over 36 months

BACKGROUND

The use of latent class analysis (LCA) to understand suicide risk is often not guided by theoretical frameworks. This study used the Integrated Motivational-Volitional (IMV) Model of Suicidal Behaviour to inform the classification of subtypes of young adults with a suicidal history.

METHODS

Data from young adults in Scotland (n = 3508) were used in this study including a subgroup of participants (n = 845) with a history of suicidality. LCA using risk factors from the IMV model was conducted on this subgroup, and the subgroups and non-suicidal control group were compared. Trajectories of suicidal behaviour over 36 months was compared between the classes.

RESULTS

Three classes were identified. Class 1 (62 %) had low scores on all risk factors, Class 2 (23 %) had moderate scores, and Class 3 (14 %) had high scores on all risk factors. Those in Class 1 had a stable low risk of suicidal behaviour, while those in Class 2 and 3 showed marked variation over time, although Class 3 had the highest risk across all timepoints.

LIMITATIONS

The rate of suicidal behaviour in the sample was low, and differential dropout may have impacted the findings.

CONCLUSIONS

These findings suggest that young adults can be classified into different profiles based on suicide risk variables derived from the IMV model, which still distinguishes them 36 months later. Such profiling may help determining who is most at risk for suicidal behaviour over time.

Identifying Youth at Risk for Suicidal Thoughts and Behaviors Using the "p" factor in Primary Care: An Exploratory Study

Suicide is a major, preventable public health problem. The general factor of psychopathology ("p" factor) might help improve detection and prediction of individuals at risk for suicide. This cross-sectional proof-of-concept study tests whether the p-factor score is associated with suicidal thoughts and behaviors (STB) better than a depression scale alone. Youth (N = 841; mean age 18.02, SD = 3.36) in primary care were universally screened using the Behavioral Health Screen (BHS). Factor analysis and ROC results showed the BHS assesses the p-factor, and the p-factor score demonstrates higher classification accuracy of several types of STB than a depression scale. The p-factor could help clinicians in the identification of youths with STB.

Social media recruitment for mental health research: A systematic review

BACKGROUND

Social media holds exciting promise for advancing mental health research recruitment, however, the extent and efficacy to which these platforms are currently in use are underexplored.

OBJECTIVE

A systematic review was conducted to characterize the current use and efficacy of social media in recruiting participants for mental health research.

METHOD

A literature review was performed using MEDLINE, EMBASE, and PsychINFO. Only non-duplicative manuscripts written in the English language and published between 1/1/2004-3/31/2019 were selected for further screening. Data extracted included study type and design, participant inclusion criteria, social media platform, advertising strategy, final recruited sample size, recruitment location, year, monetary incentives, comparison to other recruitment methods if performed, and final cost per participant.

RESULTS

A total of 176 unique studies that used social media for mental health research recruitment were reviewed. The majority of studies were cross-sectional (62.5%) in design and recruited adults. Facebook was overwhelmingly the recruitment platform of choice (92.6%), with the use of paid advertisements being the predominant strategy (60.8%). Of the reviewed studies, substance abuse (43.8%) and mood disorders (15.3%) were the primary subjects of investigation. In 68.3% of studies, social media recruitment performed as well as or better than traditional recruitment methods in the number and cost of final enrolled participants. The majority of studies used Facebook for recruitment at a median cost per final recruited study participant of $19.47. In 55.6% of the studies, social media recruitment was the more cost-effective recruitment method when compared to traditional methods (e.g., referrals, mailing).

CONCLUSION

Social media appears to be an effective and economical recruitment tool for mental health research. The platform raises methodological and privacy concerns not covered in current research regulations that warrant additional consideration.

Identifying subgroups within a sample of adults with a suicide attempt history using the Interpersonal Psychological Theory of Suicide

This study used a novel theory-informed latent class approach, based on the Interpersonal Psychological Theory of Suicide (IPTS), to identify subgroups of individuals with a suicide attempt history. The identification of subgroups can inform treatments that target these specific subgroups. Using data from a randomised controlled trial, latent class analysis was conducted on 227 adults with a suicide attempt history. Latent classes were identified based on suicide attempt history, perceived burdensomeness, thwarted belongingness, and capability for suicide at the trial baseline. Three classes were found. Classes 1 and 2 (80% of participants) at baseline had higher interpersonal risks and clinical symptoms, and lower protective psychological factors (e.g., positive reframing), compared to Class 3 (20% of participants). Class 1 had elevated suicidal ideation for the duration of the trial. Classes 1 and 2 also had elevated interpersonal risks relative to a population-based sample. These results suggest that some individuals with a suicide attempt history exhibit relatively low interpersonal risks, and given concurrent protective psychological factors, may be suited to low-intensity interventions. At the other extreme, some individuals with a suicide attempt history require high-intensity interventions addressing interpersonal risks, clinical symptoms, and protective psychological factors.

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.