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. 2022 Nov 16;13:933524. doi: 10.3389/fpsyt.2022.933524

Homicidal ideation and psychiatric comorbidities in the inpatient adolescents aged 12–17

Ching-Fang Sun 1,, Zeeshan Mansuri 2,*,, Chintan Trivedi 3, Ramu Vadukapuram 4, Abhishek Reddy 1
PMCID: PMC9709343  PMID: 36465293

Abstract

Objectives

Adolescents with a homicidal tendency is a growing concern in the United States. Studies in the past have showcased the relationship between homicidal ideation (HI) and psychiatric illnesses, but very limited information is available on the adolescent and inpatient population. We aim to evaluate the prevalence of demographic characteristics and psychiatric disorders in adolescents with and without HI.

Materials and methods

Adolescent (age 12–17) population admitted to the hospital with the diagnosis of homicidal ideation was identified from the 2016–2018 National Inpatient Sample Dataset (NISD). Patients without HI were defined as the control group. The prevalence of psychiatric comorbidities between the groups was compared by applying the Rao-Scott adjusted chi-square test. We used multivariable logistic regression to generate odds ratio (OR) of homicidal ideation as an outcome; we adjusted age, sex, race, socioeconomic status, substance use disorders, alcohol use disorders, and psychiatric comorbidities.

Results

A total of 18,935 patients (mean age: 14.5) with HI diagnosis were identified in this study. Majority of the patients were male subjects in the HI group compared to the control group (58.7 vs. 41.2%, p < 0.001). Racially, HI was more prevalent in white race (56.0 vs. 52.6%, p < 0.001) and black race (22.3 vs. 17.8%, p < 0.001), compared to Hispanic race (14.9 vs. 21.3%, p < 0.001). Major depression (Odds ratio [OR]: 2.66, p < 0.001), bipolar disorder (OR: 3.52, p < 0.001), anxiety disorder (OR: 1.85, p < 0.001), ADHD, and other conduct disorders (OR: 4.01, p < 0.001), schizophrenia (OR: 4.35, p < 0.001) are strong predictors of HI. Suicidality was prevalent in 66.9% of patients with HI.

Conclusion

We found a higher prevalence of psychiatric illnesses such as depression, anxiety, and bipolar disorder in adolescents with homicidal ideation in the inpatient setting. White and black races were more prevalent in patients with homicidal ideation. Further large-scale longitudinal research studies are warranted to establish the correlation between psychiatric disorders and homicidal ideation among adolescents.

Keywords: homicide, psychiatric comorbidity, adolescents, depression, bipolar disorder, anxiety

Introduction

Though the adolescent legal offense case rates in the US are generally trending down, the number of juvenile criminal homicides has conversely increased by 49% in the recent 5 years, while most offenders are older than 16 (6%), male subjects (89%), and non-Caucasian (72%) (1). The number of murder offenders peaks at the age group of 20–29, but the age group of 17–19 has the highest number (2). Homicidal events are a growing concern in the US. Homicidal events, especially those with firearms, illicit the publics’ fear about personal safety; decrease satisfaction with law enforcement and the trust of others (3). Also, violence is a form of financial burden to society. A single homicide could cost nearly $4 million (4).

Homicidal ideation in the adolescent population deserves public attention. Adolescents endorse the tendency toward rewards approach behavior with increased emotion reactivity and limited impulse control due to immature neurodevelopmental status (57). However, they might have to undergo the same legal process as adults. In most states in the US, the maximum age of juvenile court jurisdiction is age 17, but murder and serious violent felony cases will be excluded from juvenile court (8). Furthermore, violent and chronic young offenders are very likely to become adult delinquents (9, 10). Of note, homicidal ideation is not only related to homicidal events, but various kinds of criminal activities with higher severity (10). As a result, early identification and intervention is a reasonable, cost-effective strategy to protect both the youth and society.

Previous research has shown the correlation between HI and psychiatric illnesses in adolescents, with the evidence that students with mental health issues were arrested at a rate of 2.9 times more than their healthy counterparts (11, 12). Juvenile offenders with mental illness also have a greater risk of re-offending (13). Childhood maltreatment, conduct disorder, attention-deficit hyperactivity disorder, mood disorder, tic disorder, and abnormal neuropsychiatric findings such as learning disabilities have been proven to increase the odds of comorbid HI (12, 1416). HI is also well-known to harbor depression and suicidal ideation (SI) (17).

Despite evidence demonstrating substantial mental health conditions predisposing to HI in adolescents, minimal information is available on the adolescent inpatient population, the most vulnerable group needs a higher level of care. Our study aims to evaluate the difference in demographic characteristics and comorbid psychiatric disorders in adolescents with and without HI in a nationwide prospect.

Material and methods

Methods

We reviewed patient records from the Nationwide Inpatient Sample (NIS) dataset during 2016–2018. The NIS database is an administrative dataset from the Healthcare Cost and Utilization Project (HCUP) and Agency for Healthcare Research and Quality (AHRQ) (17). NIS is released annually and contains information on over 150 patient and hospital-level data elements, such as diagnoses, procedures, patient demographics (e.g., sex, age, race, median income), and discharge disposition, primary payer, length of stay, and hospital characteristics (bed size, location, and teaching status). The NIS provides weights (the trend weight prior to the year 2011 and the discharge weight after the year 2011) that allow nationally representative estimates. As NIS excludes data elements that could directly or indirectly identify individuals, this study was exempt from review by the institutional review board. Also, each record contains primary (indication for hospital admission) and secondary diagnosis information based on the International Classification of Diseases, Clinical Modification/Procedure Coding System (ICD-10-CM). Diagnoses were aggregated according to the ICD-10 code provided in Clinical Classification Software groupings of psychiatric and substance-related disorders.

Data collection

The study group was defined as adolescent aged 12–17 with homicidal ideation (ICD-10 code: R45.850) by applying the ICD-10 code provided in the NIS dataset. Adolescent aged 12–17 without homicidal ideation (ICD-10 code: R45.850) were defined as the control group. We collected baseline demographic data for both the study and control group. Further, we collected data on psychiatric and substance use disorder comorbidities based on the clinical classification software grouping provided on the HCUP website.

Statistical analysis

We calculated mean and standard error to present continuous data and percent for categorical data. All tests were two-sided. A p-value of less than 0.05 was considered statistically significant. The prevalence of psychiatric comorbidities between the groups was compared by applying Rao-Scott adjusted chi-square test. Multivariable logistic regression was performed with homicidal ideation as an outcome; we adjusted age, sex, race, socioeconomic status, substance use disorders, alcohol use disorders, and psychiatric comorbidities. All statistical analyses were performed by using the SPSS version 26.0 software for Windows (IBM Software, Inc., Armonk, NY, USA).

Results

The baseline characteristics of the study group and control group are shown in Table 1. A total of 18,935 patients (mean age: 14.5 years) with HI diagnosis were identified with a male predominant pattern (58.7 vs. 41.2%, p < 0.001). Racially, HI was more prevalent in white race (56.0 vs. 52.6%, p < 0.001) and black race (22.3 vs. 17.8%, p < 0.001) compared to Hispanic race (14.9 vs. 21.3%, p < 0.001). Patients with HI were more likely to be covered by Medicare or Medicaid insurance (59.4 vs. 50.6%, p < 0.001) with a lower household income (34.4 vs. 30.7% in the lowest 25% of household income, p < 0.001). No significant difference was found in the rural or urban area, whereas HI was more prevalent in hospitals in the Midwest and southern region of the US (33.8 vs. 23.9%; 43.4 vs. 39.9%). All the psychiatric comorbidities included in our study were more prevalent in patients with HI (Figure 1) with a p-value less than 0.001. Suicidality including suicidal ideation and suicide attempt was prevalent in 66.9% of patients with HI.

TABLE 1.

Demographic characteristics of the patients (age 12–17) with and without homicidal ideation.

Patients with HI
N = 18,935
Patients without HI
N = 1,645,629
P-value
Age, mean, SE 14.49 (0.04) 14.86 (0.01) <0.001
Sex <0.001
 Male 58.7 41.2
 Female 41.3 58.8
Insurance <0.001
 Medicare/Medicaid 59.4 50.6
 Private insurance 35.6 43.0
 Self-pay/No Charge/Other 6.5 5.1
Location/teaching status of hospital 0.57
 Rural 4.1 4.5
 Urban 95.9 95.5
Region of hospital <0.001
 Northeast 12.9 16.2
 Midwest 33.8 23.9
 South 43.4 39.9
 West 10.0 20.0
Race <0.001
 White 56.0 52.6
 Black 22.3 17.8
 Hispanic 14.9 21.3
 Asian or Pacific Islander 1.5 2.6
 Native American 1.1 0.9
 Other 4.3 4.9
Median household income <0.001
 0–25th Median 34.4 30.7
 25th-50th Median 27.6 25.1
 51st-75th Median 22.3 23.5
 76th-100th Median 15.6 20.7

FIGURE 1.

FIGURE 1

Incidence rate of psychiatric comorbidities among the study population.

The results of the multivariable analysis are shown in Table 2. In the multivariable analysis, major depression (OR: 2.66, p < 0.001), bipolar disorder (OR: 3.52, p < 0.001), anxiety disorder (OR: 1.85, p < 0.001), ADHD, other conduct disorders (OR: 4.01, p < 0.001), and schizophrenia (OR: 4.35, p < 0.001) were strong predictors of the outcome. No association was found between personality disorders and homicidal ideation (p = 0.27).

TABLE 2.

Multivariable analysis for predictors of homicidal ideation.

Odds ratio (95% confidence interval) P-value
Major depression 2.66 (2.37-2.99) <0.001
Bipolar disorder 3.52 (3.07-4.05) <0.001
Personality disorder 1.15 (0.90-1.46) 0.27
Anxiety disorder 1.85 (1.66-2.06) <0.001
ADHD and other conduct disorder 4.01 (3.67-4.38) <0.001
Schizophrenia 4.35 (3.79–4.98) <0.001

Discussion

Demographic features

The demographic feature of adolescents with HI in our study demonstrates a propensity which is similar to adolescents being arrested for murder and non-negligent manslaughter: male predominant (58.7 vs. 41.2%, p < 0.001), white (56.0 vs. 52.6%, p < 0.001), and black races (22.3 vs. 17.8%, p < 0.001) more than other races. According to the Office of Juvenile Justice and Delinquency Prevention data, 89% of minor offenders charged with murder and non-negligent manslaughter are male subjects; 47% of them are white; and 50% are black (18).

Homicidal behavior is well-known to be more prevalent in male subjects. We also want to highlight that female subjects in our study were more likely to present with HI compared to the real-world criminal statistic results. Previous studies explained our findings with evidence that female homicide offenders are more likely to have a diagnosis of mental illness (19). With a higher prevalence of mental illness, they are more likely to be hospitalized and thus included in our study.

Higher prevalence of HI in white adolescents may result from racial/ethnic disparity in health services. White adolescents are more likely to be recognized with HI because healthcare is more approachable. The racial demographic data in adolescents with HI are also comparable to adolescent suicidality. More white adolescents endorsed SI, while more black adolescents attempted suicide (20). Black adolescents had a higher rate of suicide attempts compared to their white counterparts. The ideation-to-action model of suicidal behavior could possibly explain this phenomenon (21). We assume that the same model could be applied to homicidal behavior. Not every aggression consequently develops into homicidal ideation. Repetitive exposure to trauma and violence cause habituation of aggression which later could escalate into homicidal ideation. Black adolescents are more likely to experience inequitable sociopolitical contexts (e.g., police hostility) and microsystem (e.g., unsafe neighborhoods). Due to the increased psychosocial burden, the incubation period for aggression to escalate might be shorter and thus less likely to be detected. Hispanic adolescents with HI might be underdiagnosed due to similar reasons (22). Previous studies showed that black people are more likely to be both the offender and victim of homicide/assault (23). The necessity of self-defense and the violent drive from the fear of being killed should also be taken into consideration.

Although we could not obtain the exact family social economic status of our patient population, our data showed that patients with HI were more likely to be covered by public insurance (Medicare or Medicaid) with a lower household income. The insurance type and income could at least provide a glimpse of the undesirable financial environment in certain patient populations. Low social economic status indicates stressful life situations, higher rate of behavior issues, and psychopathology (24, 25). Adolescents from a household struggling financially are also more likely to be a victim of bully (26). Adverse childhood events including school bullying are significantly related to the development of HI (2729).

Depression, bipolar, anxiety, and homicidal ideation

Neuroimaging shows that depressive symptoms and impulsivity in children and adolescents share common features, including reduced cortical thickness in the ventromedial prefrontal cortex and medial orbitofrontal cortex. Moreover, impulsivity is specifically associated with reduced cortical thickness in the lateral prefrontal region and frontal pole (30). Children and adolescents with bipolar disorder and aggressive behavior also have cortical thinning in prefrontal and parietal cortices (31). Additionally, depression, bipolar, anxiety, and aggression shared many common physiological characteristics including dysregulated hypothalamic–pituitary–adrenal (HPA) axis, abnormal serotonin system, and chronic inflammation (3234).

Anxiety increases indirect aggression like anger and hostility, also physical aggression in the context of high impulsivity in adolescents (35, 36). As a part of early programming for humans to survive an aversive situation, anxiety is associated with a fight and flight response and thereby coexists with aggression as an adaptive reaction toward threats in nature. Anxiety and aggression have multiple overlapping brain pathways involving the HPA axis, arginine vasopressin, gamma-aminobutyric acid, testosterone, and serotonin (37). The fact that admitting anxiolytics decreases aggression also supports the anxiety-aggression correlation (38). These evidence explained the higher prevalence of anxiety in adolescents with HI.

Attention-deficit/hyperactivity disorder, conduct disorder, personality disorders, and homicidal ideation

Attention-deficit/hyperactivity disorder and conduct disorder were associated with homicidal ideation, so as personality disorders (39). Not every ADHD child endorsed the tendency of violence. However, ADHD was known to be related to impulsive and risky decision making (40). Conduct disorder is a strong predictor of antisocial personality disorder later in life, while both are related to increased risk of HI and being an offender of homicidal events (10, 41).

Previous studies showed increased HI in patients with personality disorders which include antisocial personality disorder, borderline personality disorder, paranoid personality disorder, obsessive-compulsive personality disorder, and avoidant personality disorder (41). Among all the personality disorders, the literature review showed a significant correlation between antisocial personality disorder and HI (4143). We did not find personality disorders as a strong predictor of HI in the adolescent population, which might be a result of underdiagnosis. Considering the similarity of certain personality features and normal adolescent behavior, mental health professionals tend not to diagnose personality in adolescents (44). Another reason for clinicians to avoid diagnosing adolescents with personality disorders is to avoid stigmatizing patients with a long-lasting, treatment-resistant condition (44, 45).

Suicidal ideation and homicidal ideation

We found that HI was commonly present with SI, which was also seen in previous studies. The co-occurrence of HI and SI may be explained by the pathophysiology shared by depression, bipolar, and anxiety. It could also be illustrated from a psychoanalytic standpoint. According to Karl Menninger, there are three wishes binding together to push a person to suicide: the wish to kill, the wish to be killed, and the wish to die (46). Thus, we can postulate that there is a relationship between SI and HI.

The projective-introjective cycling of aggressive impulse is another explanation of HI accompanied by a suicidal wish (47). Children’s and adolescents’ concept of self is not completely formed. Thus, they are more likely to experience blurring boundaries of self and others, especially with those raised by abusive parents (47). While experiencing chronic stress and emotional suffering, they would have difficulty attributing the psychological content. The direction of aggression thereby vacillates between self and others. In other words, they become alternatively suicidal and homicidal (48).

A recent study on juvenile delinquents showed that suicidal ideation was correlated with certain features in psychopathy: carefree non-planfulness, blame externalization, and rebellious non-conformity (49). Thereby, sharing similar behavioral and lifestyle features of psychopathy might explain the co-occurrence of HI and SI.

Limitations

A limitation of our study lies in the fact that we only include the inpatient population. Besides depression and anxiety, homicidal ideation is also prevalent in adolescents with an autism spectrum disorder (50). While most patients with autism spectrum disorders are more likely to be managed outpatient, they might be excluded from our study. Adolescents with mild personality traits who are predisposed to HI are even less likely to be assessed in an inpatient medical setting.

Some other limitations are derived from the nature of our database. The ICD coding system was established mainly for billing purposes. Thus, the ICD codes may not truly reflect patients’ overall situation. It is also not possible for us to see the severity of HI and its context. Additionally, the NISD did not provide vital information that would significantly affect adolescents’ mental health, such as family history, attachment style, early-childhood experience, history of emotional/physical/sexual abuse, or neglect. Last but not least, our result only demonstrated the propensity of correlation between HI and diagnoses but not the causality.

Conclusion

Our study provides updated demographic data of adolescents with HI in an inpatient setting: male subjects, the white race was more prevalent in the homicidal group. We also found a higher prevalence of psychiatric illnesses such as depression, anxiety, and bipolar disorder in adolescents with HI. Our result is also consistent with previous findings that HI is highly comorbid with SI. Further large-scale longitudinal research studies are warranted to establish the correlation between psychiatric disorders and homicidal ideation among adolescents.

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: https://www.hcup-us.ahrq.gov/.

Ethics statement

Ethical review and approval were not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with national legislation and institutional requirements.

Author contributions

AR, ZM, and CT contributed to the idea, writing, editing, and reviewing of the manuscript. C-FS and RV contributed to the writing, editing, and reviewing of the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1.Juvenile Court Statistics 2019. Office of Justice Programs. (n.d.). Available online at: https://www.ojp.gov/library/publications/juvenile-court-statistics-2019 (accessed October 29, 2022). [Google Scholar]
  • 2.U.S. Department of Justice, Federal Bureau of Investigation, Criminal Justice Information Service Division. Expanded Homicide Data Table 3: Murder Offenders by Age, Sex, Race, and Ethnicity, 2019. Uniform Crime Reporting (UCR) Program. Washington, D.C: Federal Bureau of Investigation; (2019). [Google Scholar]
  • 3.Sorenson SB, Manz JG, Berk RA. News media coverage and the epidemiology of homicide. Am J Public Health. (1998) 88:1510–4. 10.2105/AJPH.88.10.1510 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Predicting and preventing homicide. A cost-effective empirical approach from infancy to adulthood. Preface. Psychol Rep. (2009) 104:5–7. [DOI] [PubMed] [Google Scholar]
  • 5.Blakemore SJ, Robbins TW. Decision-making in the adolescent brain. Nat Neurosci. (2012) 15:1184–91. 10.1038/nn.3177 [DOI] [PubMed] [Google Scholar]
  • 6.Casey BJ, Heller AS, Gee DG, Cohen AO. Development of the emotional brain. Neurosci Lett. (2019) 693:29–34. 10.1016/j.neulet.2017.11.055 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cohen AO, Bonnie RJ, Tt Kim, Casey BJ. When does a juvenile become an adult: implications for law and policy. Temp L Rev. (2015) 88:769. [Google Scholar]
  • 8.Teigen A. Juvenile Age of Jurisdiction and Transfer to Adult Court Laws. Washington, D.C: National Conference of State Legislatures (NCSL) (2021). [Google Scholar]
  • 9.Kempf-Leonard K, Tracy PE, Howell JC. Serious, violent, and chronic juvenile offenders: the relationship of delinquency career types to adult criminality. Just Q. (2001) 18:449–78. 10.1080/07418820100094981 [DOI] [Google Scholar]
  • 10.DeLisi M, Tahja K, Drury AJ, Caropreso D, Elbert M, Heinrichs T. The criminology of homicidal ideation: associations with criminal careers and psychopathology among federal correctional clients. Am J Crim Just. (2017) 42:554–73. 10.1007/s12103-016-9371-5 [DOI] [Google Scholar]
  • 11.American Civil Liberties Union. Cops and No Counselors. (n.d.). Available online at: https://www.aclu.org/report/cops-and-no-counselors (accessed October 30, 2022). [Google Scholar]
  • 12.Vaughn MG, Carbone J, DeLisi M, Holzer KJ. Homicidal ideation among children and adolescents: evidence from the 2012-2016 Nationwide emergency department sample. J Pediatr. (2020) 219:216–22. 10.1016/j.jpeds.2019.12.045 [DOI] [PubMed] [Google Scholar]
  • 13.Underwood LA, Washington A. Mental illness and juvenile offenders. Int J Environ Res Public Health. (2016) 13:228. 10.3390/ijerph13020228 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Cavaiola AA, Schiff M. Behavioral sequelae of physical and/or sexual abuse in adolescents. Child Abuse Negl. (1988) 12:181–8. 10.1016/0145-2134(88)90026-9 [DOI] [PubMed] [Google Scholar]
  • 15.Su P-Y, Han AZ, Wang GF, Wang LH, Zhang GB, Xu N, et al. Is childhood maltreatment associated with murderous ideation and behaviors in adolescents in China? Psychiatry Res. (2018) 270:467–73. 10.1016/j.psychres.2018.10.024 [DOI] [PubMed] [Google Scholar]
  • 16.Myers WC, Kemph JP. Characteristics and treatment of four homicidal adolescents. J Am Acad Child Adolesc Psychiatry. (1988) 27:595–9. 10.1097/00004583-198809000-00013 [DOI] [PubMed] [Google Scholar]
  • 17.Harter S, Low SM, Whitesell NR. What have we learned from Columbine: the impact of the self-system on suicidal and violent ideation among adolescents. J School Viol. (2003) 2:3–26. 10.1300/J202v02n03_02 [DOI] [Google Scholar]
  • 18.OJJDP. Statistical Briefing Book. Washington, D.C: OJJDP; (2020). [Google Scholar]
  • 19.Hachtel H, Nixon M, Bennett D, Mullen P, Ogloff J. Motives, offending behavior, and gender differences in murder perpetrators with or without psychosis. J Interpers Viol. (2021) 36:3168–90. 10.1177/0886260518774304 [DOI] [PubMed] [Google Scholar]
  • 20.Child Trends. Teen Suicide. (2021). Available online at: https://www.childtrends.org/?indicators=suicidal-teens (accessed February 10, 2021). [Google Scholar]
  • 21.Lee CS, Wong YJ. Racial/ethnic and gender differences in the antecedents of youth suicide. Cult Diver Ethnic Minor Psychol. (2020) 26:532. 10.1037/cdp0000326 [DOI] [PubMed] [Google Scholar]
  • 22.Brenes F. Hispanics, mental health, and suicide: brief report. Hispanic Health Care Int. (2019) 17:133–6. 10.1177/1540415319843072 [DOI] [PubMed] [Google Scholar]
  • 23.Willis S, Dongarwar D, Atkinson J, Taylor J, Lockett D, Williams E, et al. Comparing homicidal ideations with homicides/assaults victimization among various racial/ethnic groups in the United States. Int J Trans Med Res Public Health. (2021) 5:160–72. 10.21106/ijtmrph.334 [DOI] [Google Scholar]
  • 24.Peverill M, Dirks MA, Narvaja T, Herts KL, Comer JS, McLaughlin KA, et al. Socioeconomic status and child psychopathology in the United States: a meta-analysis of population-based studies. Clin Psychol Rev. (2021) 83:101933. 10.1016/j.cpr.2020.101933 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Reiss F, Meyrose AK, Otto C, Lampert T, Klasen F, Ravens-Sieberer U. Socioeconomic status, stressful life situations and mental health problems in children and adolescents: results of the German BELLA cohort-study. PLoS One. (2019) 14:e0213700. 10.1371/journal.pone.0213700 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Hosozawa M, Bann D, Fink E, Elsden E, Baba S, Iso H, et al. Bullying victimisation in adolescence: prevalence and inequalities by gender, socioeconomic status and academic performance across 71 countries. EClinicalMedicine. (2021) 41:101142. 10.1016/j.eclinm.2021.101142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Heirigs MH. The role of psychopathy and childhood maltreatment in homicidal ideation. J Crim Just. (2021) 74:101810. 10.1016/j.jcrimjus.2021.101810 [DOI] [Google Scholar]
  • 28.Yuan M-Y, Li YH, Chang JJ, Wang GF, Su PY. Suicidal and homicidal ideation among Chinese undergraduates with precollege school bullying experiences: sensitive periods and exposure trajectories. Asian J Psychiatry. (2022) 70:e103047–103047. 10.1016/j.ajp.2022.103047 [DOI] [PubMed] [Google Scholar]
  • 29.Yuan M-Y, Li YH, Chang JJ, Zhang TT, Wang GF, Su PY. Exploring the correlates of homicidal ideation in Chinese early adolescents: a network analysis. J Affect Disord. (2022) 314:241–8. 10.1016/j.jad.2022.07.032 [DOI] [PubMed] [Google Scholar]
  • 30.Merz EC, He X, Noble KG. Anxiety, depression, impulsivity, and brain structure in children and adolescents. NeuroImage Clin. (2018) 20:243–51. 10.1016/j.nicl.2018.07.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Simonetti A, Kurian S, Saxena J, Verrico CD, Restaino A, Di Nicola M, et al. Cortical correlates of impulsive aggressive behavior in pediatric bipolar disorder. Front Psychiatry. (2021) 12:674707. 10.3389/fpsyt.2021.674707 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Lopez-Duran NL, Olson SL, Hajal NJ, Felt BT, Vazquez DM. Hypothalamic pituitary adrenal axis functioning in reactive and proactive aggression in children. J Abnorm Child Psychol. (2009) 37:169–82. 10.1007/s10802-008-9263-3 [DOI] [PubMed] [Google Scholar]
  • 33.Pavlov KA, Chistiakov DA, Chekhonin VP. Genetic determinants of aggression and impulsivity in humans. J Appl Genet. (2012) 53:61–82. 10.1007/s13353-011-0069-6 [DOI] [PubMed] [Google Scholar]
  • 34.Fico G, Anmella G, Pacchiarotti I, Verdolini N, Sagué-Vilavella M, Corponi F, et al. The biology of aggressive behavior in bipolar disorder: a systematic review. Neurosci Biobehav Rev. (2020) 119:9–20. 10.1016/j.neubiorev.2020.09.015 [DOI] [PubMed] [Google Scholar]
  • 35.Chung JE, Song G, Kim K, Yee J, Kim JH, Lee KE, et al. Association between anxiety and aggression in adolescents: a cross-sectional study. BMC Pediatr. (2019) 19:115. 10.1186/s12887-019-1479-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hatfield J, Dula CS. Impulsivity and physical aggression: examining the moderating role of anxiety. Am J Psychol. (2014) 127:233–43. 10.5406/amerjpsyc.127.2.0233 [DOI] [PubMed] [Google Scholar]
  • 37.Neumann ID, Veenema AH, Beiderbeck DI. Aggression and anxiety: social context and neurobiological links. Front Behav Neurosci. (2010) 4:12. 10.3389/fnbeh.2010.00012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kendrick JG, Goldman RD, Carr RR. Pharmacologic management of agitation and aggression in a pediatric emergency department - a retrospective cohort study. J Pediatr Pharmacol Ther. (2018) 23:455–9. 10.5863/1551-6776-23.6.455 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Carbone JT, Testa A, Vaughn MG, Jackson DB. Fledgling psychopathy meets social determinants of health: evidence of childhood homicidal ideation among pediatric emergency department patients. J Crim Just. (2022):101926. 10.1016/j.jcrimjus.2022.101926 [DOI] [Google Scholar]
  • 40.Dekkers TJ, de Water E, Scheres A. Impulsive and risky decision-making in adolescents with attention-deficit/hyperactivity disorder (ADHD): the need for a developmental perspective. Curr Opin Psychol. (2022) 44:330–6. 10.1016/j.copsyc.2021.11.002 [DOI] [PubMed] [Google Scholar]
  • 41.Carbone JT, Holzer KJ, Vaughn MG, DeLisi M. Homicidal ideation and forensic psychopathology: evidence from the 2016 Nationwide emergency department sample (n.d.). J Forens Sci. (2020) 65:154–9. 10.1111/1556-4029.14156 [DOI] [PubMed] [Google Scholar]
  • 42.Nichita EC, Buckley PF. Comorbidities of antisocial personality disorder: prevalence and implications. In: Felthous AR, Saß H. editors. The Wiley International Handbook on Psychopathic Disorders and the Law. Hoboken, NJ: John Wiley & Sons Ltd; (2020). p. 645–70. 10.1002/9781119159322.ch28 [DOI] [Google Scholar]
  • 43.Lindberg N, Lindberg N, Laajasalo T, Holi M, Putkonen H, Weizmann-Henelius G, et al. Psychopathic traits and offender characteristics–a nationwide consecutive sample of homicidal male adolescents. BMC Psychiatry. (2009) 9:18. 10.1186/1471-244X-9-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Sharp C, Vanwoerden S, Wall K. Adolescence as a sensitive period for the development of personality disorder. Psychiatr Clin. (2018) 41:669–83. 10.1016/j.psc.2018.07.004 [DOI] [PubMed] [Google Scholar]
  • 45.Laurenssen EM, Hutsebaut J, Feenstra DJ, Van Busschbach JJ, Luyten P. Diagnosis of personality disorders in adolescents: a study among psychologists. Child Adolesc Psychiatry Ment Health. (2013) 7:1–4. 10.1186/1753-2000-7-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ronningstam E, Weinberg I, Maltsberger JT. Psychoanalytic theories of suicide. In: Wasserman D, Wasserman C. editors. Oxford Textbook of Suicidology and Suicide Prevention. Oxford: OUP Oxford; (2020). 147 p. 10.1093/med/9780198834441.003.0020 [DOI] [Google Scholar]
  • 47.Dutton DG, Yamini S. Adolescent parricide: an integration of social cognitive theory and clinical views of projective-introjective cycling. Am J Orthopsychiatry. (1995) 65:39–47. 10.1037/h0079594 [DOI] [PubMed] [Google Scholar]
  • 48.Meloy RJ. Violent Attachments. Lanham, MD: Jason Aronson, Incorporated; (1997). [Google Scholar]
  • 49.Heirigs MH, Heirigs MH, DeLisi M, Fox B, Dhingra K, Vaughn MG. Psychopathy and suicidal thoughts and behaviors revisited: results from a statewide population of institutionalized youth. Int J Offend Ther Comp Criminol. (2019) 63:874–95. 10.1177/0306624X18812533 [DOI] [PubMed] [Google Scholar]
  • 50.Frizzell W, Howard L, Norris HC, Chien J. Homicidal ideation and individuals on the autism spectrum. J Forens Sci. (2019) 64:1259–65. 10.1111/1556-4029.14002 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Publicly available datasets were analyzed in this study. This data can be found here: https://www.hcup-us.ahrq.gov/.


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