Association between aggressive and non-fatal suicidal behaviors among U.S. high school students

Can We Notice the Suicidal Warning Signs of Adolescents With Different Psychometric Profiles Before Their Death?: Analysis of Teachers' Reports

BACKGROUND

This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports.

METHODS

This was a retrospective cohort study based on Korean school teachers' responses to the Student Suicide Report Form. In total, 546 consecutive cases of student suicide were reported from 2017 to 2020. After missing data were excluded, 528 cases were included. The report consisted of demographic factors, the Korean version of the Strengths and Difficulties Questionnaire (SDQ) for teacher reporting, and warning signs of suicide. Frequency analysis, multiple response analysis, the χ² test, and Latent Class Analysis (LCA) were performed.

RESULTS

Based on the scores of the Korean version of the teacher-reported SDQ, the group was divided into nonsymptomatic (n = 411) and symptomatic (n = 117) groups. Based on the LCA results, four latent hierarchical models were selected. The four classes of deceased students showed significant differences in school type (χ² = 20.410, P < 0.01), physical illness (χ² = 7.928, P < 0.05), mental illness (χ² = 94.332, P < 0.001), trigger events (χ² = 14.817, P < 0.01), self-harm experience (χ² = 30.618, P < 0.001), suicide attempts (χ² = 24.072, P < 0.001), depressive symptoms (χ² = 59.561, P < 0.001), anxiety (χ² = 58.165, P < 0.001), impulsivity (χ² = 62.241, P < 0.001), and social problems (χ² = 64.952, P < 0.001).

CONCLUSION

Notably, many students who committed suicide did not have any psychiatric pathology. The proportion of the group with a prosocial appearance was also high. Therefore, the actual suicide warning signals were similar regardless of students' difficulties and prosocial behaviors, so it is necessary to include this information in gatekeeper education.

Misuse of Prescription Opioids and Suicidal Behaviors Among Black Adolescents: Findings from the 2017 and 2019 Youth Risk Behavior Survey

PURPOSE

Although some studies have examined the association between prescription opioid misuse and mental health outcomes, few have investigated the effects of prescription opioid misuse on suicidal behaviors among Black adolescents. The objective of this study was to investigate the cross-sectional association between prescription opioid misuse and suicidal ideation, suicide plan, and suicide attempt among Black adolescents.

METHODS

Data for this study came from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 4798 Black adolescents aged 14-18 years (51.2% female) was analyzed using binary logistic regression. The outcome variables investigated were suicidal ideation, suicide plan, and suicide attempt, and the main explanatory variable was prescription opioid misuse.

RESULTS

Of the 4798 Black adolescents, 15% reported ever misusing prescription opioids; 16.2% experienced suicidal ideation; 14% made a suicide plan; and 11.3% attempted suicide during the past 12 months. In the multivariate logistic regression models, Black adolescents who misused prescription opioids had 1.39 times higher odds of making a suicide plan and 1.65 times higher odds of making a suicide attempt during the past 12 months when compared to their counterparts who did not misuse prescription opioids. Other significant factors associated with suicidal behaviors include female sex, school bullying, cyberbullying, depressive symptoms, and illicit drug use. In addition, physical activity had a protective effect on suicide attempt.

CONCLUSION

The findings of the present study demonstrate the effects of prescription opioid misuse and its association with suicidal behaviors among Black adolescents.

Validity of a three-item dating abuse victimization screening tool in a 11-21 year old sample

Background

Dating abuse (DA) is prevalent and consequential, but no brief DA screening tools are available for use in pediatric or other settings. This study was designed to determine the sensitivity, specificity, and predictive values of the MARSHA-C, which is a three-item DA victimization screening tool.

Methods

The participants were 224 U.S. youth ages 11–21 years old (20% male, 77% female, 3% non-binary gender). Youth completed an online questionnaire about adolescent relationship abuse. The survey included the Measure of Adolescent Relationship Harassment and Abuse (MARSHA), which is a comprehensive DA measurement instrument normed on a nationally representative sample. Of 34 DA victimization items from the MARSHA, the three most prevalent items were hypothesized to have good predictive validity of the full scale score as a brief, screening version (MARSHA-C). The sensitivity, specificity, positive predictive value, and negative predictive value of the MARSHA-C to identify victims of DA was calculated.

Results

Using the MARSHA as the reference standard, the cutpoint of 1 on the MARSHA-C screening tool was identified as optimal. The MARSHA-C had a sensitivity of 84%, a specificity of 91%, and positive predictive value of 91%. Thus, for youth who endorse ≥ 1 MARSHA-C items, there is a 91% probability that they have experienced DA in the past year. Exploratory analyses by demographic subgroups suggest that the predictive validity of the MARSHA-C is approximately equivalent for females and males, younger and older adolescents, Asian, Black, Latinx, Multiracial and White youth, and heterosexual and lesbian, gay, and bisexual youth.

Conclusions

The MARSHA-C can be used to detect DA among 11–21-year-old youth via online surveys for research purposes, or in clinical care settings to facilitate proactive patient counseling or parent-oriented anticipatory guidance.

Self-harm and Aggression in Chinese Early Adolescents: Their Co-occurrence and the Role of Bullying Victimization

Self-harm and aggression increase markedly during early adolescence. However, few studies considered these harmful behaviors simultaneously. This study employed a person-centered approach to identify profiles of adolescents who differed in their patterns of self-harm, reactive aggression, and proactive aggression, examined the stability of these patterns, and explored the effect of bullying victimization on latent profile membership and transition. A total of 2463 early adolescents (48.8% girls, M_age = 13.93 ± 0.59) participated in two waves of the study over six months. The results indicated that low symptoms profile (80.4%), moderate aggression profile (14.2%), high aggression profile (3.0%), and high self-harm profile (2.4%) were identified at time 1, and low symptoms profile (82.1%), dual-harm profile (7.6%), high aggression profile (7.7%), and high self-harm profile (2.6%) were identified at time 2. Adolescents assigned to at-risk profiles showed moderate to high transition, suggesting the developmental heterogeneity of self-harm and aggression. Moreover, adolescents high in bullying victimization were more likely to belong or transition to at-risk profiles. The findings revealed the co-occurring and transitional nature of self-harm and aggression and the transdiagnostic role of bullying victimization, which can be used to guide prevention and intervention strategies.

Latent classes of aggression and peer victimization: Measurement invariance and differential item functioning across sex, race-ethnicity, cohort, and study site

Peer victimization is common and linked to maladjustment. Prior research has typically identified four peer victimization subgroups: aggressors, victims, aggressive‐victims, and uninvolved. However, findings related to sex and racial‐ethnic differences in subgroup membership have been mixed. Using data collected in September of 2002 and 2003, this study conducted confirmatory latent class analysis of a racially‐ethnically diverse sample of 5415 sixth graders (49% boys; 50.6% Black; 20.9% Hispanic) representing two cohorts from 37 schools in four U.S. communities to replicate the four subgroups and evaluate measurement invariance of latent class indicators across cohort, sex, race‐ethnicity, and study site. Results replicated the four‐class solution and illustrated that sociodemographic differences in subgroup membership were less evident after accounting for differential item functioning.