Latent Triple Trajectories of Substance Use As Predictors for the Onset of Antisocial Personality Disorder Among Urban African American and Puerto Rican Adults: A 22-year Longitudinal Study

Overview

Journal Subst Abus

Publisher Sage Publications

Specialties Medical Education
Psychiatry

Date 2022 Jan 24

PMID 35073243

Authors

Jung Yeon Lee

Kerstin Pahl

Wonkuk Kim

Affiliations

Soon will be listed here.

Abstract

Antisocial personality disorder (ASPD) incurs a high cost to society due to the high risk of violent and nonviolent offenses associated with this personality disorder, thus making the examination of the etiology and the onset of ASPD an important public health concern. The present study consisted of five waves of data collection of the Harlem Longitudinal Development Study ( = 674). In the Cox proportional hazard model, latent multiple substance use trajectories from mid-adolescence to emerging adulthood (mean age 14 to mean age 24) were used as a predictor for the onset of ASPD during emerging adulthood to the mid-thirties (mean age 24 to mean age 36). The control variables were gender, ethnicity, problem behaviors, and victimization. In the multiple Cox proportional hazard model, the high (HR = 2.74, 0.001) and the increasing frequency of (HR = 2.55, 0.001) use on alcohol, cigarette, and cannabis latent trajectory groups were associated with an increased hazard of ASPD onset as compared with the no or low frequency of use on alcohol, cigarette, and cannabis latent trajectory group after controlling for demographic factors and earlier problem behaviors as well as victimization. The implications of this study for the prediction of adult ASPD onset time may focus on the early use of alcohol, cigarette, and cannabis from mid adolescence to emerging adulthood.

References

Chun S, Harris A, Carrion M, Rojas E, Stark S, Lejuez C . A psychometric investigation of gender differences and common processes across borderline and antisocial personality disorders. J Abnorm Psychol. 2016; 126(1):76-88. PMC: 5217473. DOI: 10.1037/abn0000220. View

Danforth J, Harvey E, Ulaszek W, McKee T . The outcome of group parent training for families of children with attention-deficit hyperactivity disorder and defiant/aggressive behavior. J Behav Ther Exp Psychiatry. 2005; 37(3):188-205. DOI: 10.1016/j.jbtep.2005.05.009. View

Celton M, Malpertuy A, Lelandais G, de Brevern A . Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments. BMC Genomics. 2010; 11:15. PMC: 2827407. DOI: 10.1186/1471-2164-11-15. View

Bierer L, Yehuda R, Schmeidler J, Mitropoulou V, New A, Silverman J . Abuse and neglect in childhood: relationship to personality disorder diagnoses. CNS Spectr. 2004; 8(10):737-54. DOI: 10.1017/s1092852900019118. View

Brock G, Shaffer J, Blakesley R, Lotz M, Tseng G . Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes. BMC Bioinformatics. 2008; 9:12. PMC: 2253514. DOI: 10.1186/1471-2105-9-12. View

Salas-Wright C, Kagotho N, Vaughn M . Mood, anxiety, and personality disorders among first and second-generation immigrants to the United States. Psychiatry Res. 2014; 220(3):1028-36. PMC: 4258138. DOI: 10.1016/j.psychres.2014.08.045. View

De Brito S, Viding E, Kumari V, Blackwood N, Hodgins S . Cool and hot executive function impairments in violent offenders with antisocial personality disorder with and without psychopathy. PLoS One. 2013; 8(6):e65566. PMC: 3688734. DOI: 10.1371/journal.pone.0065566. View

Horwitz A, Widom C, McLaughlin J, White H . The impact of childhood abuse and neglect on adult mental health: a prospective study. J Health Soc Behav. 2001; 42(2):184-201. View

Ledgerwood D, Goldberger B, Risk N, Lewis C, Price R . Comparison between self-report and hair analysis of illicit drug use in a community sample of middle-aged men. Addict Behav. 2008; 33(9):1131-9. PMC: 2495080. DOI: 10.1016/j.addbeh.2008.04.009. View

10.

Compton W, Conway K, Stinson F, Colliver J, Grant B . Prevalence, correlates, and comorbidity of DSM-IV antisocial personality syndromes and alcohol and specific drug use disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions. J Clin Psychiatry. 2005; 66(6):677-85. DOI: 10.4088/jcp.v66n0602. View

11.

Goldstein R, Chou S, Saha T, Smith S, Jung J, Zhang H . The Epidemiology of Antisocial Behavioral Syndromes in Adulthood: Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III. J Clin Psychiatry. 2016; 78(1):90-98. PMC: 5025322. DOI: 10.4088/JCP.15m10358. View

12.

Infurna F, Grimm K . The Use of Growth Mixture Modeling for Studying Resilience to Major Life Stressors in Adulthood and Old Age: Lessons for Class Size and Identification and Model Selection. J Gerontol B Psychol Sci Soc Sci. 2017; 73(1):148-159. PMC: 5927099. DOI: 10.1093/geronb/gbx019. View

13.

Lee J, Brook J, Finch S, Brook D . Trajectories of marijuana use from adolescence to adulthood predicting unemployment in the mid 30s. Am J Addict. 2015; 24(5):452-9. PMC: 4516687. DOI: 10.1111/ajad.12240. View

14.

Stekhoven D, Buhlmann P . MissForest--non-parametric missing value imputation for mixed-type data. Bioinformatics. 2011; 28(1):112-8. DOI: 10.1093/bioinformatics/btr597. View

15.

Gobin R, Reddy M, Zlotnick C, Johnson J . Lifetime trauma victimization and PTSD in relation to psychopathy and antisocial personality disorder in a sample of incarcerated women and men. Int J Prison Health. 2015; 11(2):64-74. PMC: 9236186. DOI: 10.1108/IJPH-06-2014-0016. View

16.

Black D . The Natural History of Antisocial Personality Disorder. Can J Psychiatry. 2015; 60(7):309-14. PMC: 4500180. DOI: 10.1177/070674371506000703. View

17.

Afifi T, Mather A, Boman J, Fleisher W, Enns M, MacMillan H . Childhood adversity and personality disorders: results from a nationally representative population-based study. J Psychiatr Res. 2010; 45(6):814-22. DOI: 10.1016/j.jpsychires.2010.11.008. View

18.

Brook J, Zhang C, Rubenstone E, Primack B, Brook D . Comorbid trajectories of substance use as predictors of Antisocial Personality Disorder, Major Depressive Episode, and Generalized Anxiety Disorder. Addict Behav. 2016; 62:114-21. PMC: 4955839. DOI: 10.1016/j.addbeh.2016.06.003. View

19.

Palmer R, Young S, Hopfer C, Corley R, Stallings M, Crowley T . Developmental epidemiology of drug use and abuse in adolescence and young adulthood: Evidence of generalized risk. Drug Alcohol Depend. 2009; 102(1-3):78-87. PMC: 2746112. DOI: 10.1016/j.drugalcdep.2009.01.012. View

20.

Brook J, Lee J, Finch S, Brown E, Brook D . Long-term consequences of membership in trajectory groups of delinquent behavior in an urban sample: violence, drug use, interpersonal, and neighborhood attributes. Aggress Behav. 2013; 39(6):440-52. PMC: 3795961. DOI: 10.1002/ab.21493. View