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Predicting Arrest in a Sample of Youth Perinatally Exposed to HIV: The Intersection of HIV and Key Contextual Factors

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Abstract

We examined the role of youth HIV status and other key factors on past-year arrest in perinatally HIV-exposed but uninfected (PHIV−) and perinatally HIV-infected (PHIV+) youth using data from a multi-site study of psychosocial behaviors in PHIV-exposed urban youth (N = 340; 61% PHIV+; 51% female; ages 9–16 at baseline). Youth and caregivers were administered 5 interviews, spanning approximately 7.5 years. Using longitudinal logistic mixed-effect models, we explored the association between past year arrest, internal [e.g., substance use disorder (SUD)] and external (e.g., neighborhood arrest rates) contextual factors, and social-regulation processes (e.g., in-school/work). Arrest rates increased from 2.6 to 19.7% across follow-ups; there were no differences in arrest over time by HIV status. In the final model, odds of arrest were greater for youth who were male, with SUD, ≥ 18 years old, with high levels of city stress, and neither in school nor employed. PHIV-exposed, urban youth have much higher rates of arrest than national samples. Lack of differences in arrest by HIV status suggests key contextual factors are more important in promoting arrest.

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References

  1. Sohn AH, Hazra R. The changing epidemiology of the global paediatric HIV epidemic: kee** track of perinatally HIV-infected adolescents. J Int AIDS Soc. 2013;16(1):18555.

    Article  Google Scholar 

  2. Arnett JJ, Tanner JL, editors. Emerging adults in America: coming of age in the 21st century. Washington: American Psychological Association; 2006.

    Google Scholar 

  3. Rutter M. Transitions and turning points in developmental psychopathology: As applied to the age span between childhood and mid-adulthood. ‎Int J Behav Dev. 1996;19(3):603–26.

    Article  Google Scholar 

  4. Fabio A, Tu L-C, Loeber R, Cohen J. Neighborhood socioeconomic disadvantage and the shape of the age–crime curve. Am J Public Health. 2011;101(S1):S325–32.

    Article  Google Scholar 

  5. Sweeten G, Piquero AR, Steinberg L. Age and the explanation of crime, revisited. J Adolesc Health. 2013;42(6):921–38.

    Google Scholar 

  6. Davis M, Banks S, Fisher W, Grudzinskas A. Longitudinal patterns of offending during the transition to adulthood in youth from the mental health system. J Behav Health Serv Res. 2004;31(4):351–66.

    Article  Google Scholar 

  7. Kang E, Mellins CA, Dolezal C, Elkington KS, Abrams EJ. Disadvantaged neighborhood influences on depression and anxiety in youth with perinatally acquired human immunodeficiency virus: how life stressors matter. Am J Community Psychol. 2011;39(8):956–71.

    Article  Google Scholar 

  8. Gase LN, Glenn BA, Gomez LM, Kuo T, Inkelas M, Ponce NA. Understanding racial and ethnic disparities in arrest: the role of individual, home, school, and community characteristics. Race Soc Probl. 2016;8(4):296–312.

    Article  Google Scholar 

  9. Centers for disease control and prevention. Diagnoses of HIV infection in the United States and dependent areas, 2014. HIV Surveillance Report. 2015.

  10. Kling JR, Ludwig J, Katz LF. Neighborhood effects on crime for female and male youth: evidence from a randomized housing voucher experiment. Q J Econ. 2005;120(1):87–130.

    Google Scholar 

  11. Denning P, DiNenno E. Communities in crisis: is there a generalized HIV epidemic in impoverished urban areas of the United States. Paper presented at: XVIII international AIDS conference. 2010

  12. Hermetet-Lindsay KD, Correia KF, Williams PL, et al. Contributions of disease severity, psychosocial factors, and cognition to behavioral functioning in US youth perinatally Exposed to HIV. AIDS Behav. 2017;21(9):2703–15.

    Article  Google Scholar 

  13. Murray J, Farrington DP. Risk factors for conduct disorder and delinquency: key findings from longitudinal studies. Can J Psychiatry (Revue canadienne de psychiatrie). 2010;55(10):633–42.

    Article  Google Scholar 

  14. Lester P, Stein JA, Bursch B, et al. Family-based processes associated with adolescent distress, substance use and risky sexual behavior in families affected by maternal HIV. J Clin Child Adolesc Psychol. 2010;39(3):328–40.

    Article  Google Scholar 

  15. Morrison MF, Petitto JM, Ten Have T, et al. Depressive and anxiety disorders in women with HIV infection. Am J Psychiatry. 2002;159(5):789–96.

    Article  Google Scholar 

  16. Elkington KS, Teplin LA, Mericle AA, Welty LJ, Romero EG, Abram KM. HIV/Sexually transmitted infection risk behaviors in delinquent youth with psychiatric disorders: a longitudinal study. J Am Acad Child Adolesc Psychiatry. 2008;47(8):901–11.

    Article  Google Scholar 

  17. Mellins C. Treatment adherence in HIV− infected women and children. Paper presented at pediatric AIDS and mental health issues in the era of ART conference, jointly sponsored by NIMH Center for Mental Health Research on AIDS and The Office of Rare Diseases, NIH; Washington DC; 2001.

  18. Mellins C, Brackis-Cott E, Leu CS, et al. Rates and types of psychiatric disorders in perinatally human immunodeficiency virus-infected youth and seroreverters. J Child Psychol Psychiatry. 2009;50(9):1131–8.

    Article  Google Scholar 

  19. Elkington KS, Bauermeister JA, Santamaria EK, Dolezal C, Mellins CA. Substance use and the development of sexual risk behaviors in youth perinatally exposed to HIV. J Pediatr Psychol. 2015;40(4):442–54.

    Article  Google Scholar 

  20. Smith R, Chernoff M, Williams PL, et al. Impact of human immunodeficiency virus severity on cognitive and adaptive functioning during childhood and adolescence. Pediatr Infect Dis J. 2012;31(6):592–8.

    Article  Google Scholar 

  21. Wood SM, Shah SS, Steenhoff AP, Rutstein RM. The impact of AIDS diagnoses on long-term neurocognitive and psychiatric outcomes of surviving adolescents with perinatally acquired HIV. AIDS. 2009;23(14):1859–65.

    Article  Google Scholar 

  22. González-Scarano F, Martín-García J. The neuropathogenesis of AIDS. Nat Rev Immunol. 2005;5(1):69–81.

    Article  Google Scholar 

  23. Nichols S, Brummel S, Smith RA, et al. Executive functioning in children and adolescents with perinatal HIV infection for the pediatric HIV/AIDS cohort study. Pediatr Infect Dis J. 2015;34(9):969–75.

    Article  Google Scholar 

  24. Morgan AB, Lilienfeld SO. A meta-analytic review of the relation between antisocial behavior and neuropsychological measures of executive function. Clin Psychol Rev. 2000;20(1):113–36.

    Article  CAS  Google Scholar 

  25. Sang J, Cederbaum JA, Hurlburt MS. Parentification, substance use, and sex among adolescent daughters from ethnic minority families: the moderating role of monitoring. Fam Process. 2014;53(2):252–66.

    Article  Google Scholar 

  26. Stein JA, Rotheram-Borus MJ, Lester P. Impact of parentification on long-term outcomes among children of parents with HIV/AIDS. Fam Process. 2007;46(3):317–33.

    Article  Google Scholar 

  27. Elkington KS, Bauermeister JA, Robbins RN, et al. Individual and contextual factors of sexual risk behavior in youth perinatally infected with HIV. AIDS Patient Care STDS. 2012;26(7):411–22.

    Article  Google Scholar 

  28. Elkington KS, Bauermeister JA, Santamaria EK, Dolezal C, Mellins CA. (Substance use and the development of sexual risk behaviors in youth perinatally Exposed to HIV. J Pediatr Psychol. 2005;40(4):442–54.

    Article  Google Scholar 

  29. Ewart CK. Social action theory for a public health psychology. Am Psychol. 1991;46(9):931.

    Article  CAS  Google Scholar 

  30. Mellins CA, Smith R, O’Driscoll P, et al. High rates of behavioral problems in perinatally HIV-infected children are not linked to HIV disease. Pediatrics. 2003;111:384–93.

    Article  Google Scholar 

  31. Agostoni C, Riva E, Esposito S, Ferraris G, Principi N, Zuccotti GV. Fatty acid composition of plasma lipids in HIV-infected children: comparison with seroreverters. Acta Paediatr. 2000;89:172–6.

    Article  CAS  Google Scholar 

  32. Knight WG, Mellins CA, Levenson RL Jr, Arpadi SM, Kairam R. Effects of pediatric HIV infection on mental and psychomotor development. J Pediatr Psychol. 2000;25(8):583–7.

    Article  CAS  Google Scholar 

  33. Shaffer D, Fisher P, Lucas CP, Dulcan MK, Schwab-Stone ME. NIMH diagnostic interview schedule for children version IV (NIMH DISC-IV): description, differences from previous versions, and reliability of some common diagnoses. J Am Acad Child Adolesc Psychiatry. 2000;39(1):28–38.

    Article  CAS  Google Scholar 

  34. APA. Diagnostic and statistical manual of mental disorders. 4th ed. Washington: American Psychiatric Association; 1994.

  35. Bachman JG, Johnston L, O’Malley PM. Monitoring the Future: a continuing study of the lifestyles and values of youth, 1992. Inter-university Consortium for Political and Social Research Ann Arbor, MI; 1993.

  36. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.

    Article  CAS  Google Scholar 

  37. Beck A, Steer R, Garbin M. Psychometric properties of the beck depression inventory: twenty-five years of evaluation. Clin Psychol Rev. 1998;8:77–100.

    Article  Google Scholar 

  38. Spielberger C, Gorsuch R, Lushene R, Vagg P, Jacobs G. Manual for the state-trait anxiety inventory. Palo Alto: Consulting Psychologists Press; 1983.

    Google Scholar 

  39. Aidala A, Havens J, Mellins C, et al. Development and validation of the Client Diagnostic Questionnaire (CDQ): a mental health screening tool for use in HIV/AIDS service settings. Psychol Health Med. 2004;9(3):362–80.

    Article  Google Scholar 

  40. Ewart CK, Suchday S. Discovering how urban poverty and violence affect health: development and validation of a neighborhood stress index. Health Psychol. 2002;21(3):254.

    Article  Google Scholar 

  41. New York City Police Department. Historical New York City crime data. http://www.nyc.gov/html/nypd/html/analysis_and_planning/historical_nyc_crime_data.shtml. Accessed 3 Dec 2016.

  42. Fitts WH, Warren WL. Tennessee self-concept scale: TSCS-2. Los Angeles: Western Psychological Services; 1996.

    Google Scholar 

  43. Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83:1198–202.

    Article  Google Scholar 

  44. Substance Abuse and Mental Health Services Administration. National survey on drug use and health, 2014. Substance Abuse and Mental Health Data Archive (SAMHDA). http://pdas.samhsa.gov/#/survey/NSDUH-2014-DS0001.

  45. Dembo R, Briones-Robinson R, Wareham J, et al. Impact of brief intervention services on drug-using, truant youth arrest charges over time. J Child Adolesc Subst Abuse. 2014;23(6):375–88.

    Article  Google Scholar 

  46. FBI. 2015 crime in the United States: table 38. https://ucr.fbi.gov/crime-in-the-u.s/2015/crime-in-the-u.s.-2015/tables/table-38. Accessed 4 Dec 2016.

  47. D’Amico EJ, Edelen MO, Miles JN, Morral AR. The longitudinal association between substance use and delinquency among high-risk youth. Drug Alcohol Depend. 2008;93(1):85–92.

    Article  Google Scholar 

  48. Kruttschnitt C. Gender and crime. Annu Rev Sociol. 2013;39:291–308.

    Article  Google Scholar 

  49. Cernkovich SA, Giordano PC. School bonding, race, and delinquency. Criminology. 1992;30(2):261–91.

    Article  Google Scholar 

  50. Henry KL, Knight KE, Thornberry TP. School disengagement as a predictor of dropout, delinquency, and problem substance use during adolescence and early adulthood. J Youth Adolesc. 2012;41(2):156–66.

    Article  Google Scholar 

  51. Phillips J, Land KC. The link between unemployment and crime rate fluctuations: an analysis at the county, state, and national levels. ‎Soc Sci Res. 2012;41(3):681–94.

    Article  Google Scholar 

  52. Chung HL, Steinberg L. Relations between neighborhood factors, parenting behaviors, peer deviance, and delinquency among serious juvenile offenders. Dev Psychol. 2006;42(2):319–31.

    Article  Google Scholar 

  53. Babinski LM, Hartsough CS, Lambert NM. A comparison of self-report of criminal involvement and official arrest records. Aggress Behav. 2001;27(1):44–54.

    Article  Google Scholar 

  54. Shader M. Risk factors for delinquency: an overview. US Department of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention; 2001. https://www.ncjrs.gov/pdffiles1/ojjdp/frd030127.pdf. Accessed 25 Oct 2016.

  55. Loeber R, Burke JD, Pardini DA. Development and etiology of disruptive and delinquent behavior. Annu Rev Clin Psychol. 2009;5:291–310.

    Article  Google Scholar 

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Acknowledgements

This research was supported by several grants from the National Institute of Mental Health (R01MH63636, PI: C.A. Mellins; P30MH43520; PI: R. H. Remien).

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Authors and Affiliations

  1. HIV Center for Clinical and Behavioral Studies, Columbia University and New York State Psychiatric Institute, 1051 Riverside Drive, #15, New York, NY, 10032, USA

    Katherine S. Elkington, Amelia Bucek, Cheng-Shiun Leu & Claude A. Mellins

  2. ICAP, Columbia University Mailman School of Public Health and College of Physicians & Surgeons, New York, NY, USA

    Zachary Peters & Elaine J. Abrams

  3. Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA

    C. Jean Choi

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  1. Katherine S. Elkington
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Correspondence to Katherine S. Elkington.

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Elkington, K.S., Peters, Z., Choi, C.J. et al. Predicting Arrest in a Sample of Youth Perinatally Exposed to HIV: The Intersection of HIV and Key Contextual Factors. AIDS Behav 22, 3234–3243 (2018). https://doi.org/10.1007/s10461-017-1993-1

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