Distinct trajectories of suicidal behaviors throughout the university stage and associated risk and protective factors: A large-scale prospective study

Reasons for living and depressive symptomatology in young adults with and without suicide attempts: a moderated mediation approach

Introduction

Suicide is a public health problem worldwide, being the fourth leading cause of death in young adult population (15-29 years). Therefore, it is important to identify its risk and protective factors, and how they interact to develop more effective interventions. The present study aims to analyze the relation between depressive symptoms, hopelessness (risk factors) with reasons for living (protective factors) and suicidal ideation in young adults with and without previous suicide attempts.

Methods

A sample of 845 Portuguese young adults answered an online form which assessed suicidal ideation, hopelessness, depressive symptoms, and reasons for living. Mean comparisons, correlations, and moderated mediation analysis were computed.

Results

Individuals with a history of suicide attempt showed higher mean levels in risk factors, compared to individuals without suicide attempt. When no history of suicide attempt was present, ideation was positively and significantly correlated to depression and hopelessness, and negatively correlated to the reasons for living. Higher levels of depressive symptomatology predict lower levels of reasons for living. Mediation and moderation relations were assessed in a model and the history of suicide attempts showed a relevant role.

Conclusions

The evidence found in this study reinforce that reasons for living may play a preponderant role in suicidal ideation, that is as a negative mediator and therefore it can act as a protective factor.

Developmental pathways from insomnia to suicidality: A resilience perspective

BACKGROUND

Insomnia has been identified as a potential risk factor for suicidality. However, to date, few studies using the longitudinal-design have examined the underlying mechanism of this relationship. Based on a resilience perspective, this study aimed to investigate the dynamic longitudinal relationships between insomnia, resilience, and suicidality.

METHODS

A total of 5785 freshmen were sampled from a large-scale health-related cohort among Chinese college students. This study spanned six waves, covering the period from 2020 to 2022. Data from T1 to T4 were used because resilience was not measured at baseline (T0) and T5. The cross-lagged panel models and the latent growth curve mediation model were used to examine the longitudinal dynamic relationships between insomnia, resilience, and suicidality.

RESULTS

The results showed that insomnia symptoms and suicidality mutually predicted each other, and resilience played a longitudinal mediating role in linking insomnia symptoms and suicidality.

CONCLUSIONS

Given that resilience served as a mediator in the relation between insomnia symptoms and suicidality, some resilience-oriented prevention and intervention programs will be helpful in reducing the risk of suicide among university students.

Factors Associated With Reasons for Living Among Suicidal Adolescents

OBJECTIVE

The objective of this study was to identify baseline demographic and clinical factors associated with higher scores on the Reasons for Living Inventory for Adolescents (RFL-A) at baseline and over follow-up.

METHOD

Using data from a pilot clinical trial of a brief intervention for suicidal youth transitioning from inpatient to outpatient, we identified univariate associations of baseline characteristics with RFL-A and used regression to identify the most parsimonious subset of these variables. Finally, we examined to what extent changes in these characteristics over time were related to changes in RFL-A.

RESULTS

Univariate analyses found that better external functional emotion regulation and social support were associated with higher RFL-A scores; more self-reported depression, internal dysfunctional emotion regulation, sleep disturbance, anxiety, and distress tolerance were associated with lower RFL-A scores. Multiple linear regression identified internal dysfunctional emotion regulation and external functional emotion regulation as the most parsimonious set of characteristics associated with RFL-A. Improvement in internal emotion regulation, sleep, and depression were related to improvements in RFL-A over time.

CONCLUSION

Our findings indicate that emotion regulation-specifically maladaptive internal strategies and use of external resources-is strongly associated with RFL-A. Improvements in internal emotion regulation (r = 0.57), sleep (r = -0.45), and depression (r = -0.34) were related to increases in RFL-A.

Heterogeneity in Adolescents' Non-Suicidal Self-Injury Behaviour Trajectories Based on the Group-Based Trajectory Model and a Decision Tree Analysis of Family-Related Determinants

Background

Non-suicidal self-injury (NSSI) is a global public health problem. While some studies have noted the importance of behavioural development patterns in NSSI, most NSSI research is based on cross-sectional survey data. Few studies explore the time-series heterogeneity of trajectories of NSSI symptoms and family-related influencing factors of NSSI.

Aim

The purpose of the study was to identify the heterogeneity in trajectories of adolescents' NSSI behaviour and their family-related influencing factors.

Methods

The group-based trajectory model (GBTM) was used to identify the heterogeneity in the NSSI behaviour trajectories of 208 adolescents in China. Next, the decision tree model (DTM) was used to analyse which family related factors influence the trajectory type.

Results

The GBTM revealed two heterogeneous trajectories of NSSI behaviour: the high-risk and low-risk NSSI behaviour groups. Next, DTM's average accuracy was 83.2%. A total of seven independent variables were used for the DTM: gender, number of NSSIs in the past month, and family economic, family structure, family conflict, parental psychological control, parental behavior control and family intimacy risks. Family conflict risk was located at the root node and was the most important factor.

Conclusion

Heterogeneity within the population should be considered in the management of adolescents' NSSI behaviours. Further, from the perspective of family system theory and cumulative risk, focusing on the adverse effect of multiple risk factors on adolescents' NSSI addiction is more meaningful rather than the impact of single risk factors. Studies that use time series data should focus on the trend of dynamic changes in NSSI addiction characteristics over time.

Prediction of suicidal ideation among Chinese college students based on radial basis function neural network

Background

Suicide is one of the leading causes of death for college students. The predictors of suicidal ideation among college students are inconsistent and few studies have systematically investigated psychological symptoms of college students to predict suicide. Therefore, this study aims to develop a suicidal ideation prediction model and explore important predictors of suicidal ideation among college students in China.

Methods

We recruited 1,500 college students of Sichuan University and followed up for 4 years. Demographic information, behavioral and psychological information of the participants were collected using computer-based questionnaires. The Radial Basis Function Neural Network (RBFNN) method was used to develop three suicidal ideation risk prediction models and to identify important predictive factors for suicidal ideation among college students.

Results

The incidence of suicidal ideation among college students in the last 12 months ranged from 3.00 to 4.07%. The prediction accuracies of all the three models were over 91.7%. The area under curve scores were up to 0.96. Previous suicidal ideation and poor subjective sleep quality were the most robust predictors. Poor self-rated mental health has also been identified to be an important predictor. Paranoid symptom, internet addiction, poor self-rated physical health, poor self-rated overall health, emotional abuse, low average annual household income per person and heavy study pressure were potential predictors for suicidal ideation.

Conclusions

The study suggested that the RBFNN method was accurate in predicting suicidal ideation. And students who have ever had previous suicidal ideation and poor sleep quality should be paid consistent attention to.