Abstract
Criminal justice involvement (CJI) disrupts social and sexual networks, and sexually transmitted infections (STIs) thrive on network disruption. Adolescent CJI may be a particularly important determinant of STI because experiences during adolescence influence risk trajectories into adulthood. We used Wave III (2001–2002: young adulthood) of the National Longitudinal Study of Adolescent Health (N = 14,322) to estimate associations between history of adolescent (younger than 18 years) CJI and adult STI risk. Respondents who reported a history of repeat arrest in adolescence, adolescent conviction, and arrest both as an adolescent and an adult (persistent arrest) had between two to seven times the odds of STI (biologically confirmed infection with chlamydia, gonorrhea, or trichomoniasis) in adulthood and between two to three times the odds of multiple partnerships and inconsistent condom use in the past year in adulthood. In analyses adjusting for sociodemographic and behavioral factors, history of having six or more adolescent arrests was associated with more than five times the odds of STI (adjusted odds ratio (AOR) 5.44, 95 % confidence interval (CI) 1.74–17.1). Both adolescent conviction and persistent CJI appeared to remain independent correlates of STI (conviction: AOR 1.90, 95 % CI 1.02–3.55; persistent CJI: AOR 1.60, 95 % CI 0.99–2.57). Adolescents who have repeat arrests, juvenile convictions, and persist as offenders into adulthood constitute priority populations for STI treatment and prevention. The disruptive effect of adolescent CJI may contribute to a trajectory associated with STI in adulthood.
Keywords: Criminal justice involvement, Sexually transmitted infection, Sexual risk behavior, Adolescence, National Longitudinal Study of Adolescent Health
Introduction
Risk of sexually transmitted infections (STI), including HIV, increases dramatically from adolescence into young adulthood. The highest rates of the most common reportable infections cluster among adults aged 20 to 24 years,1 and as many as 15–30 % of all HIV infections are acquired before or during young adulthood.2 There remains an urgent need to identify adolescent groups at greatest risk of acquiring STI to effectively target preventive interventions and identify the modifiable factors that drive young adult transmission.
Numerous surveys have measured alarming rates of sexual risk behaviors3,4 and STIs4–10 among incarcerated adolescents, highlighting the importance of juvenile offenders as a priority population for STI control. Recent surveys have found rates of chlamydia to be as high as 15–30 % among female and 10–15 % among male juvenile offenders4–10 versus less than 3 % of general population adolescents aged 15–19.11 A number of factors may drive infection risk among adolescents with a history of criminal justice involvement (CJI). Comorbid with mental health problems, substance use is common among juvenile offenders and is a risk factor for sexual risk taking among youth involved in the criminal justice system.12–16 In addition, delinquency—a result of numerous factors including social and economic deprivation, victimization, risk-taking proclivity, and deficits in executive functioning and reward orientation—contributes to adolescent CJI and elevated levels of sexual risk and may help explain high STI risk among adolescent offenders.17–20 In a recent study that used data from the National Longitudinal Study of Adolescent Health (Add Health), Aalsma et al. highlighted the strong association between adolescent delinquency and adulthood STI risk,21 suggesting that high levels of STI in incarcerated populations may be attributed, in part, to risk-taking associated with delinquency. These results supported prior evidence of the link between conduct disorder and antisocial lifestyle and disease including STI.22–26
While high levels of STI among justice-involved youth may be attributed to factors such as drug use and delinquency, CJI itself may constitute an STI risk factor.27–32 CJI—arrest, conviction, and incarceration—is a destabilizing life event that disrupts social and sexual networks.33–37 Since STI/HIV transmission thrives on network disruption, CJI that begins during adolescence and persists into adulthood may serve as a recurring threat to network stability. While CJI has been identified as an independent correlate of STI risk in cross-sectional studies among adults,27–30,32 little to no research has evaluated the degree to which CJI during adolescence is associated with young adult STI/HIV risk. The purpose of this study was to use data from Add Health to measure associations between adolescent CJI and adulthood STI risk while controlling for important confounding factors including respondents’ baseline sociodemographic characteristics, substance use, and delinquency.
Methods
Add Health is a longitudinal cohort study designed to investigate health from adolescence into adulthood in a nationally representative sample of US youth. Wave I (1994–1995; range 11–17 years) data collected from adolescents and parents were used to provide a sociodemographic background on respondents. During Wave III (2001–2002; range 18–28 years), respondents were re-interviewed about CJI and sexual risk taking. Additionally, urine specimens were collected for determination of Chlamydia trachomatis and Neisseria gonorrhea by ligase chain reaction (Abbott LCx® Probe System, Abbott Laboratories, Abbott Park, IL, USA) and Trichomonas vaginalis by polymerase chain reaction (Amplicor CT/NG Urine Specimen Prep Kit, Roche Diagnostic Systems, Indianapolis, IN, USA). The study design has been described in detail elsewhere.38–43 Ethical approval for this research was obtained from the University of Florida Institutional Review Board.
Measures
Exposures: Adolescent CJI (Wave III)
At Wave III, respondents were asked, “How many times have you been stopped or detained by the police for questioning about your activities?” Only those who answered affirmatively were asked the follow up questions: “Have you ever been arrested or taken into custody by the police?” Those who answered affirmatively were asked, “How old were you the first time this happened?” Those who had been arrested prior to the age of 18 years were asked, “How many times were you arrested before you were 18?” and “Have you ever been convicted of or pled guilty to a crime, or been found delinquent, in juvenile court?” Based on these variables, we coded four nominal categorical indicators of adolescent CJI, defined as CJI prior to the age of 18 years: number of adolescent arrests [1 time (≤50th percentile), 2–5 times (>50th percentile and ≤90th percentile), or 6 or more times (>90th percentile) versus never (the referent)], ever convicted or plead guilty in a juvenile court (yes versus no [the referent]), and history of arrest as an adolescent and/or adult (arrested as an adolescent but not as an adult [adolescent-limited arrest], arrested as an adult but not as an adolescent [adult-limited arrest], and arrested as both an adolescent and as an adult [persistent arrest] versus no history of arrest [the referent]).
Outcomes: STI Risk Indicators (Wave III)
We examined biologically confirmed curable STI at Wave III, defined by a positive test result for C. trachomatis, N. gonorrhea, or T. vaginalis on the Wave III urine specimen versus a negative result for all three tests. We also assessed two dichotomous indicators of sexual risk in the year prior to Wave III: multiple partnerships and inconsistent condom use (defined by having three or more partnerships in the past year and failure to report use of condoms during all sexual encounters in the past year) and sex with an STI-infected partner, defined by report of sex in the past year with at least one partner who the respondent reported to have ever had an STI.
Potential Confounding Factors (Waves I and III)
The following sociodemographic and behavioral factors were considered as potential confounding variables based on their a priori relationship with the exposure and outcome: age; gender; race/ethnicity; age at first vaginal sexual intercourse; high school education status of mother/primary caretaker; high school education status of respondent; poverty level measured at Wave III, defined as difficulty affording housing/utilities in past year; adolescent history of getting drunk or marijuana, cocaine, or injection drug use; high levels of delinquency in adolescence, defined as a score of 6 or 7 on a seven-point delinquency scale constructed following Aalsma et al. (2010)21; and indicators of hopelessness in adolescence, including respondent report that he or she thought seriously about committing suicide in the past year, that he or she had at least a 50–50 chance of being killed by age 21 years, and that he or she had at least a 50–50 chance of getting HIV or AIDS.
Data Analysis
For all analyses, we used survey commands in Stata Version 10.1 (Stata Corp., College Station, TX, USA) to account for stratification, clustering, and unequal selection probabilities, yielding nationally representative estimates. We used bivariable analyses to calculate weighted prevalences of participant sociodemographic, psychosocial, and behavioral characteristics by number of prior adolescent arrests. Using logistic regression, we estimated unadjusted and adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) for associations between each adolescent criminal justice indicator and adulthood STI risk indicators.
For each adjusted model, we used a manual change in estimate backwards elimination procedure to identify the particular set of confounding variables necessary to include in each final model.44 We ensured that the OR derived from each final model was no greater than 10 % different than the OR derived from the fully adjusted model, which included all potential confounding variables listed above.
Results
Of the 18,924 participants in the weighted Wave I sample, 14,322 (75.7 %) were located and re-interviewed during Wave III and had no missing values for sample weight variables. The weighted respondent population was 67 % White, 16 % Black, 12 % Latino, 4 % Asian American, and >1 % Native American.
Approximately 5 % reported a history of one or more arrests as an adolescent (i.e., before age 18 years); 3, 2, and 0.4 % reported having been arrested as an adolescent one time, two to five times, and six or more times, respectively. Approximately 2.3 % had been convicted or plead guilty as an adolescent. Approximately 3 % reported an adolescent-limited arrest, 7 % reported an adult-limited arrest, and 2.6 % reported persistent arrest. The mean lifetime number of arrests was the greatest among those who had been arrested both as a juvenile and as an adult (mean, 5.1 arrests), followed by those who had been arrested as an adolescent but not as an adult (mean, 2.1 arrests) and those who had been arrested as an adult but not as an adolescent (mean, 1.8 arrests). Approximately 6.3 % had a biologically confirmed STI at Wave III, 11.8 % reported multiple partnerships and inconsistent condom use, and 6.4 % reported sex in the past year with an STI-infected partner.
Sociodemographic, Psychosocial, and Behavioral Characteristics by History of Adolescent Arrest
Respondent sociodemographic, psychosocial, and behavioral characteristics were associated with number of times arrested as an adolescent (Table 1). For example, among respondents with no adolescent arrests, 11 % had less than a high school education; among respondents with six or more arrests, 54 % had less than a high school education. Number of arrests as an adolescent was also associated with adolescent hopelessness, indicated by report of suicide contemplation in the past year and belief that he or she would be killed by age 21 years but was not associated with beliefs about acquiring HIV/AIDS. The proportion of respondents indicating, at Wave I, use of alcohol, marijuana, cocaine, or injection drugs generally increased with increasing number of arrests. The mean age at first sex generally decreased with increasing number of adolescent arrests, from a mean age of 16.5 years among those who had never been arrested (95 % CI 16.4–16.6 years) to a mean of 14.1 years (95 % CI 13.3–14.9 years) among those who had been arrested six or more times.
Table 1.
No adolescent arrest | Arrested 1 time | Arrested 2–5 times | Arrested 6+ times | Chi-square p-value for association | |||||
---|---|---|---|---|---|---|---|---|---|
n | % | n | % | n | % | n | % | ||
Demographic characteristics | |||||||||
Sex | |||||||||
Female | 7,421 | 51.2 | 77 | 21.3 | 19 | 7.5 | 3 | 7.4 | 0.0000 |
Male | 6,179 | 48.8 | 260 | 78.7 | 209 | 92.5 | 40 | 92.6 | |
Age (years) | |||||||||
18–20 | 3,087 | 28.2 | 103 | 37.5 | 72 | 34.8 | 8 | 23.4 | 0.0160 |
21 | 2,151 | 16.3 | 64 | 20.7 | 39 | 19.3 | 7 | 21.5 | |
22 | 2,593 | 16.7 | 57 | 13.7 | 49 | 17.2 | 12 | 29.0 | |
23 | 2,673 | 15.8 | 57 | 10.0 | 30 | 10.9 | 10 | 14.7 | |
24–28 | 3,096 | 23.2 | 56 | 18.2 | 38 | 17.8 | 6 | 11.4 | |
Race/ethnicity | |||||||||
White | 7,365 | 68.0 | 196 | 69.7 | 109 | 59.6 | 21 | 52.1 | 0.0063 |
Black | 2,883 | 15.9 | 64 | 15.8 | 56 | 23.0 | 8 | 12.3 | |
Latino | 2,208 | 11.7 | 53 | 10.1 | 49 | 15.2 | 8 | 24.6 | |
Native American | 124 | 0.73 | 5 | 2.2 | 2 | 0.5 | 2 | 4.8 | |
Asian American | 985 | 3.8 | 18 | 2.2 | 11 | 1.7 | 4 | 6.2 | |
Socioeconomic position | |||||||||
Education level of mother/primary female caretaker (Wave I) | |||||||||
<HS education | 2,060 | 16.1 | 45 | 14.3 | 36 | 22.1 | 13 | 20.7 | 0.3621 |
HS education | 3,765 | 34.0 | 95 | 34.0 | 62 | 28.2 | 9 | 45.4 | |
>HS education | 6,347 | 49.9 | 164 | 51.7 | 109 | 49.8 | 15 | 33.9 | |
Respondent education level (Wave III) | |||||||||
<HS education | 1,279 | 10.8 | 51 | 15.9 | 63 | 27.9 | 20 | 53.9 | 0.0000 |
HS education | 12,307 | 89.3 | 286 | 84.1 | 165 | 72.1 | 23 | 46.1 | |
Respondent/household could not afford housing/utilities in past year (Wave III) | |||||||||
No | 11,644 | 86.4 | 268 | 80.1 | 179 | 80.5 | 28 | 73.6 | 0.0148 |
Yes | 1,801 | 13.6 | 65 | 19.9 | 47 | 19.5 | 12 | 26.4 | |
Adolescent delinquency (Wave I) | |||||||||
Score on delinquency measure | |||||||||
Low (score of 0–5) | 13,357 | 99.3 | 319 | 95.9 | 211 | 95.2 | 35 | 87.7 | 0.0000 |
High (score of 6–7) | 115 | 0.7 | 13 | 4.1 | 13 | 4.8 | 7 | 12.3 | |
Adolescent depression/hopelessness (Wave I) | |||||||||
Thought seriously about suicide in the past year | |||||||||
No | 11,717 | 87.0 | 265 | 78.6 | 190 | 85.4 | 36 | 90.3 | 0.0042 |
Yes | 1,770 | 13.0 | 69 | 21.4 | 35 | 14.6 | 6 | 9.7 | |
Believed he/she had at least a 50–50 chance of being killed by the age of 21 | |||||||||
No | 11,488 | 85.7 | 270 | 82.8 | 173 | 74.8 | 31 | 73.0 | 0.0021 |
Yes | 2,024 | 14.3 | 64 | 17.3 | 55 | 25.2 | 9 | 27.0 | |
Believed he/she had at least a 50–50 chance of getting HIV/AIDS | |||||||||
No | 12,026 | 89.4 | 296 | 87.8 | 192 | 83.3 | 35 | 82.0 | 0.1544 |
Yes | 1,470 | 10.6 | 38 | 12.2 | 36 | 16.7 | 6 | 18.0 | |
Adolescent drug use (Wave I) | |||||||||
Ever drank and got drunk | |||||||||
No | 9,803 | 72.1 | 180 | 53.0 | 112 | 52.4 | 20 | 44.1 | 0.0000 |
Yes | 3,655 | 27.9 | 153 | 47.0 | 112 | 47.6 | 22 | 55.9 | |
Ever used marijuana | |||||||||
No | 9,902 | 74.0 | 164 | 49.9 | 94 | 39.2 | 17 | 35.2 | 0.0000 |
Yes | 3,558 | 26.0 | 170 | 50.1 | 129 | 60.8 | 25 | 64.8 | |
Ever used cocaine | |||||||||
No | 13,053 | 96.9 | 309 | 91.7 | 204 | 90.7 | 35 | 89.7 | 0.0000 |
Yes | 398 | 0.3 | 24 | 8.4 | 19 | 9.4 | 7 | 10.4 | |
Ever used injection drugs | |||||||||
No | 13,431 | 99.5 | 332 | 98.4 | 223 | 98.6 | 43 | 100 | 0.0984 |
Yes | 62 | 0.5 | 4 | 1.6 | 4 | 1.4 | 0 | 0.0 | |
Weighted mean (95 % CI) | Weighted mean (95 % CI) | Weighted mean (95 % CI) | |||||||
Age at first vaginal sex (Wave I) | 16.5 | 16.4–16.6 | 15.2 | 14.9–15.6 | 15.1 | 14.7–15.5 | 14.1 | 13.3–14.9 |
Associations: Adolescent CJI and Adulthood STI
Number of Adolescent Arrests
Increasing involvement in the criminal justice system was generally associated with greater odds of biologically confirmed STI as a young adult (Table 2). In unadjusted analyses, adolescents who were arrested 6+ times had more than seven times the odds of adult STI compared to those with no adolescent arrests (OR 7.56, 95 % CI 3.00–19.10). In adjusted analyses, the odds of adult STI among respondents with 6+ adolescent arrests was approximately five times greater than respondents with no adolescent arrest (adjusted OR (AOR) 5.44, 95 % CI 1.74–17.1). The strongest confounding factors were gender, race/ethnicity, age at first sexual intercourse, mother’s education, respondent education, and respondent crack/cocaine use.
Table 2.
STI | |||
Adolescent criminal justice involvement | Weighted % | Unadjusted OR (95 % CI) | Adjusted OR (95 % CI)a |
Number of adolescent arrests (<18 years old) | |||
0 times | 6.1 | Referent | Referent |
1 time | 7.4 | 1.22 (0.73–2.06) | 1.30 (0.76–2.24) |
2–5 times | 7.8 | 1.29 (0.59–2.83) | 1.20 (0.50–2.86) |
6+ times | 33.0 | 7.56 (3.00–19.10) | 5.44 (1.74–17.1) |
Ever convicted or plead guilty in a juvenile court | |||
No | 6.1 | Referent | Referent |
Yes | 12.2 | 2.13 (1.25–3.62) | 1.90 (1.02–3.55) |
History of arrest as an adolescent and/or adult | |||
Never arrested as an adolescent or an adult | 6.1 | Referent | Referent |
Adolescent-limited arrest history | 7.1 | 1.18 (0.64–2.22) | 1.30 (0.68–2.48) |
Adult-limited arrest history | 6.7 | 1.11 (0.78–1.56) | 1.16 (0.79–1.71) |
Persistent arrest history | 11.4 | 1.98 (1.28–3.08) | 1.60 (0.99–2.57) |
aAdjusted for any of the following demographic, socioeconomic, and substance abuse variables, if identified as confounders using the backwards elimination strategy of model building: age; gender; race/ethnicity; age at first sex; education status of mother/primary caretaker; high school education status of respondent; poverty level measured at Wave III, defined as difficulty affording housing/utilities in past year; adolescent history of getting drunk or marijuana, cocaine, or injection drug use in the year prior to Wave I; high levels of delinquency in adolescence, defined as a score of 7 on a seven-point delinquency scale; and indicators of hopelessness in adolescence, including respondent report that he or she thought seriously about committing suicide in the past year, that he or she had at least a 50-50 chance of being killed by age 21 years, and that he or she had at least a 50-50 chance of getting HIV or AIDS
Ever Convicted or Plead Guilty in a Juvenile Court
In both unadjusted and adjusted analyses, history of conviction/pleading guilty in juvenile court was associated with approximately twice the odds of STI (AOR 1.90, 95 % CI 1.02–3.55).
History of Arrest as an Adolescent and/or Adult
Adolescent-limited and adult-limited arrest indicators were not associated with STI. In unadjusted analyses, persistent arrest was associated with nearly twice the odds of adulthood STI (OR 1.98, 95 % CI 1.28–3.08). In adjusted analyses, persistent arrest appeared to remain associated with moderate elevations in STI, though the result was marginally significant at the 0.05 level (AOR 1.60, 95 % CI 0.99–2.57). Gender, race/ethnicity, age at first sexual intercourse, mother’s education, respondent education, and respondent crack/cocaine use were the strongest confounders.
Associations: Adolescent CJI and Reported Inconsistent Condom Use and Multiple Sexual Partners
Number of Adolescent Arrests
The unadjusted association between number of adolescent arrests and multiple partnerships and inconsistent condom use in the past year followed a dose-response relationship (Table 3). In unadjusted analyses, compared to respondents with no adolescent arrests, increasing odds of multiple partnerships and inconsistent condom use in the past year were observed among respondents with 1 adolescent arrest (OR 2.12, 95 % CI 1.59–2.82), with two to five adolescent arrests (OR 3.37, 95 % CI 2.24–5.07), and with 6+ adolescent arrests (OR 3.64, 95 % CI 1.50–8.84) (Table 3). In adjusted analyses, the association between history of one arrest and the multiple partnerships and inconsistent condom use weakened and was no longer significant (AOR 1.19, 95 % CI 0.88–1.62), the association between two to five adolescent arrests and the outcome weakened yet remained (AOR 1.84, 95 % CI 1.19–2.84), while the association between history of 6+ adolescent arrests and the outcome was no longer significant (AOR 1.83, 95 % CI 0.67–4.99). The associations were attenuated by adjustment for gender, race/ethnicity, age at first sexual intercourse, and respondent alcohol use in the past year.
Table 3.
Reported 3+ partners in the past year and inconsistent condom use | Sex with an STI-infected partner in the past year | |||||
---|---|---|---|---|---|---|
Adolescent criminal justice involvement | Weighted % | Unadjusted OR (95 % CI) | Adjusted OR (95 % CI)a | Weighted % | Unadjusted OR (95 % CI) | Adjusted OR (95 % CI)a |
Number of adolescent arrests (<18 years old) | ||||||
0 times | 11.0 | Referent | Referent | 6.3 | Referent | Referent |
1 time | 20.8 | 2.12 (1.59–2.82) | 1.19 (0.88–1.62) | 7.4 | 1.19 (0.68–2.09) | 0.87 (0.43–1.75) |
2–5 times | 29.5 | 3.37 (2.24–5.07) | 1.84 (1.19–2.84) | 10.1 | 1.67 (0.88–3.19) | 1.51 (0.71–3.20) |
6+ times | 31.1 | 3.64 (1.50–8.84) | 1.83 (0.67–4.99) | 6.3 | 1.00 (0.21–4.80) | 1.22 (0.20–7.42) |
Ever convicted or plead guilty in a juvenile court | ||||||
No | 11.4 | Referent | Referent | 6.3 | Referent | Referent |
Yes | 23.2 | 2.33 (1.63–3.33) | 1.23 (0.83–1.81) | 8.0 | 1.29 (0.73–2.29) | 1.27 (0.66–2.43) |
History of arrest as a adolescent and/or adult | ||||||
Never arrested as a adolescent or an adult | 10.1 | Referent | Referent | 6.2 | Referent | Referent |
Adolescent-limited arrest history | 20.5 | 2.29 (1.65–3.18) | 1.32 (0.91–1.92) | 8.6 | 1.43 (0.82–2.53) | 1.49 (0.78–2.85) |
Adult-limited arrest history | 22.8 | 2.62 (2.12–3.25) | 1.87 (1.47–2.37) | 7.8 | 1.28 (0.93–1.76) | 1.24 (0.85–1.82) |
Persistent arrest history | 27.9 | 3.45 (2.53–4.70) | 1.78 (1.24–2.56) | 7.9 | 1.31 (0.67–2.57) | 0.90 (0.38–2.10) |
aAdjusted for any of the following demographic, socioeconomic, and substance abuse variables, if identified as confounders using the backwards elimination strategy of model building: age; gender; race/ethnicity; age at first sex; education status of mother/primary caretaker; high school education status of respondent; poverty level measured at Wave III, defined as difficulty affording housing/utilities in past year; adolescent history of getting drunk or marijuana, cocaine, or injection drug use in the year prior to Wave I; high levels of delinquency in adolescence, defined as a score of 7 on a seven-point delinquency scale; and indicators of hopelessness in adolescence, including respondent report that he or she thought seriously about committing suicide in the past year, that he or she had at least a 50-50 chance of being killed by age 21 years, and that he or she had at least a 50-50 chance of getting HIV or AIDS
Ever Convicted or Plead Guilty in a Juvenile Court
Respondents who reported a history of conviction/pleading guilty in juvenile court had more than two times the odds of reporting multiple partnerships and inconsistent condom use in the past year compared to respondents with no history of conviction/pleading guilty in juvenile court (OR 2.33, 95 % CI 1.63–3.33). In adjusted analyses, the association weakened to 1.23 (95 % CI 0.83–1.81). The strongest confounding factors were gender and age at first sexual intercourse.
History of Arrest as an Adolescent and/or Adult
Adolescent-limited arrest and adult-limited arrest were each associated with over twice the odds of multiple partnerships and inconsistent condom use in the past year (adolescent only OR 2.29, 95 % CI 1.65–3.18; adult only OR 2.62, 95 % CI 2.12–3.25), while persistent arrest was associated with over three times the odds (OR 3.45, 95 % CI 2.53–4.70). In adjusted analyses, adolescent-limited arrest was no longer associated with multiple partnerships and inconsistent condom use (AOR 1.32, 95 % CI 0.91–1.92). The association between adult-limited arrest and the outcome weakened but remained (AOR 1.87, 95 % CI 1.47–2.37), as did the association between persistent arrest and the outcome (AOR 1.78, 95 % CI 1.24–2.56). The strongest confounding factors were gender, race/ethnicity, age at first sexual intercourse, mother’s education, respondent education, and respondent report of getting drunk in the past year.
Associations: Adolescent CJI and Sex with an STI-Infected Partner
None of the four measures of adolescent CJI were associated with increased likelihood of adulthood report of sex with an STI-infected partner in the past year.
Discussion
In this nationally representative US sample, those who reported a history of adolescent CJI followed a trajectory of risk that resulted in elevated levels of multiple partnerships, unprotected sex, and biologically confirmed STI in adulthood. In addition, adjusted analyses suggest that CJI in adolescence not only serves as a correlate of subsequent STI risk but that it also may constitute an independent risk factor of and potential contributor to STI in adulthood. Findings corroborate prior calls for sexual risk reduction and STI testing and treatment among criminal justice-involved youth.5–9 In addition, the current study supports extant literature indicating that CJI is associated with risk behavior and infection,27–30,32 serving as the first, to our knowledge, to provide evidence that adolescent CJI may contribute to subsequent STI risk.
Arrest and incarceration are hypothesized to lead to STI risk, in part, because CJI is a disruptive life event that fractures social and sexual networks. Network disruption, in turn, may contribute to elevations in high-risk partnerships, including multiple and concurrent partnerships. Consistent network disruption through adolescence into young adulthood may help explain the high STI levels observed in this study among those who had a history of CJI since adolescence. Given this study is the first to document the association between adolescent CJI and adulthood STI, the findings highlight a need for additional research on the relationship between early CJI and adulthood STI risk using data that will enable exploration of life course trajectories and mediating pathways.
STI was concentrated among those with high levels of exposure to CJI. Those who had high levels of repeat adolescent arrest experienced alarming elevations in risk, while a history of adolescent conviction and persistent CJI were each associated with twice the odds of STI in adulthood. Failure to reach these justice-involved youth remains an important missed opportunity in public health and STI control efforts.
Our findings indicate that adolescents who are involved in the criminal justice system experience disproportionate social vulnerability including sociodemographic and psychosocial disadvantage, factors that drive STI. The current study highlights a clear need to address these sociodemographic and psychosocial vulnerabilities among those with a history of adolescent CJI. These factors constitute important public health concerns in themselves. In addition, adjusted analyses also suggest these factors play a role in the STI-related sexual risk behaviors observed and hence that addressing these factors has implications for STI prevention.
We found no evidence of an association between adolescent CJI and links to high-risk networks, as measured by reported sex with an STI-infected partner, results which contradict findings of a prior study conducted by members of our group.45 It is possible that no relationship was observed in the current Add Health study as a result of biased measurement of links to STI-infected partners. Despite the null findings observed in this study, the theoretical justification for the link between CJI and links to high-risk networks and prior empirical evidence of the association points to the need for additional studies on how early CJI may influence changes in sexual networks that persist into young adulthood.
A number of study limitations should be noted. First, while an important study strength is that Add Health has measured multiple and diverse socioeconomic, psychosocial, and behavioral variables in both adolescence and adulthood and hence allows for fairly rigorous control of confounding, residual confounding constitutes an important threat to study validity. Second, although Add Health is a longitudinal study, measurement of adolescent CJI was captured retrospectively during Wave III in adulthood; hence, this study is not truly longitudinal in design. Further, due to a skip pattern error in the Add Health data collection instruments, assessment of any prior history of incarceration during adolescence was not possible. This prevented comparison of arrest versus incarceration as correlates of STI risk in this sample.
Despite these limitations, this study—among the first to examine the relationship between adolescent CJI and adulthood STI—demonstrated robust associations in a nationally representative sample. The results indicate that adolescent criminal justice populations are priority populations for STI control. The findings highlight the need for additional research that measures the degree to which adolescent CJI may contribute to adulthood STI risk and that identifies the sexual risk and network factors that mediate these associations. In addition, findings suggest that efforts to prevent or reduce persistent CJI (e.g., diversion programs) may have public health benefits.
Acknowledgments
This research was supported by the National Institute on Drug Abuse grant Longitudinal Study of Substance Use, Incarceration, and STI in the US (Maria R. Khan, PI, R03 DA026735). This research uses data from Add Health, a program project designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris, and funded by a grant P01-HD31921 from the National Institute of Child Health and Human Development, with cooperative funding from 17 other agencies.
References
- 1.CDC. STD Health Equity. 2011. http://www.cdc.gov/std/health-disparities/default.htm. Accessed February 28, 2011.
- 2.Morris M, Handcock MS, Miller WC, et al. Prevalence of HIV infection among young adults in the United States: results from the Add Health study. Am J Public Health. 2006;96:1091–1097. doi: 10.2105/AJPH.2004.054759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Canterbury RJ, McGarvey EL, Sheldon-Keller AE, et al. Prevalence of HIV-related risk behaviors and STDs among incarcerated adolescents. J Adolesc Health. 1995;17:173–177. doi: 10.1016/1054-139X(95)00043-R. [DOI] [PubMed] [Google Scholar]
- 4.Pack RP, Diclemente RJ, Hook EW, 3rd, et al. High prevalence of asymptomatic STDs in incarcerated minority male youth: a case for screening. Sex Transm Dis. 2000;27:175–177. doi: 10.1097/00007435-200003000-00011. [DOI] [PubMed] [Google Scholar]
- 5.Kahn RH, Mosure DJ, Blank S, et al. Chlamydia trachomatis and Neisseria gonorrhoeae prevalence and coinfection in adolescents entering selected US juvenile detention centers, 1997-2002. Sex Transm Dis. 2005;32:255–259. doi: 10.1097/01.olq.0000158496.00315.04. [DOI] [PubMed] [Google Scholar]
- 6.Robertson AA, Thomas CB, St Lawrence JS, et al. Predictors of infection with Chlamydia or Gonorrhea in incarcerated adolescents. Sex Transm Dis. 2005;32:115–122. doi: 10.1097/01.olq.0000151419.11934.1b. [DOI] [PubMed] [Google Scholar]
- 7.Bauer HM, Chartier M, Kessell E, et al. Chlamydia screening of youth and young adults in non-clinical settings throughout California. Sex Transm Dis. 2004;31:409–414. doi: 10.1097/01.OLQ.0000130456.03464.EA. [DOI] [PubMed] [Google Scholar]
- 8.Mrus JM, Biro FM, Huang B, et al. Evaluating adolescents in juvenile detention facilities for urogenital chlamydial infection: costs and effectiveness of alternative interventions. Arch Pediatr Adolesc Med. 2003;157:696–702. doi: 10.1001/archpedi.157.7.696. [DOI] [PubMed] [Google Scholar]
- 9.Mertz KJ, Voigt RA, Hutchins K, et al. Findings from STD screening of adolescents and adults entering corrections facilities: implications for STD control strategies. Sex Transm Dis. 2002;29:834–839. doi: 10.1097/00007435-200212000-00016. [DOI] [PubMed] [Google Scholar]
- 10.Risser JM, Risser WL, Gefter LR, et al. Implementation of a screening program for chlamydial infection in incarcerated adolescents. Sex Transm Dis. 2001;28:43–46. doi: 10.1097/00007435-200101000-00010. [DOI] [PubMed] [Google Scholar]
- 11.CDC. Trends in Sexually Transmitted Diseases in the United States: 2009 National Data for Gonorrhea, Chlamydia and Syphilis. Atlanta: Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services; 2009.
- 12.Romero EG, Teplin LA, McClelland GM, et al. A longitudinal study of the prevalence, development, and persistence of HIV/sexually transmitted infection risk behaviors in delinquent youth: implications for health care in the community. Pediatrics. 2007;119:e1126–e1141. doi: 10.1542/peds.2006-0128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Criminal Neglect: Substance Abuse, Juvenile Justice and the Children Left Behind. New York: The National Center on Addiction and Substance Abuse at Columbia University; 2004. [Google Scholar]
- 14.Lucenko BA, Malow RM, Sanchez-Martinez M, et al. Negative affect and HIV risk in alcohol and other drug (AOD) abusing adolescent offenders. J Child Adolesc Subst Abuse. 2003;13:1–17. doi: 10.1300/J029v13n01_01. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Valera P, Epperson M, Daniels J, et al. Substance use and HIV-risk behaviors among young men involved in the criminal justice system. Am J Drug Alcohol Abuse. 2009;35:43–47. doi: 10.1080/00952990802342923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kingree JB, Braithwaite R, Woodring T. Unprotected sex as a function of alcohol and marijuana use among adolescent detainees. J Adolesc Health. 2000;27:179–185. doi: 10.1016/S1054-139X(00)00101-4. [DOI] [PubMed] [Google Scholar]
- 17.Odgers CL, Robins SJ, Russell MA. Morbidity and mortality risk among the forgotten few: why are girls in the justice system in such poor health? Law and Human Behavior. 2010;34:429–444. doi: 10.1007/s10979-009-9199-3. [DOI] [PubMed] [Google Scholar]
- 18.Paschall MJ, Fishbein DH. Executive cognitive functioning and aggression: a public health perspective. Aggression and Violent Behavior. 2002;7:215–235. doi: 10.1016/S1359-1789(00)00044-6. [DOI] [Google Scholar]
- 19.Shader M. Risk Factors for Delinquency: an Overview. Washington, DC: National Criminal Justice Reference Service, US Department of Justice; 2004.
- 20.Hoff RA, Beam-Goulet J, Rosenheck RA. Mental disorder as a risk factor for human immunodeficiency virus infection in a sample of veterans. J Nerv Ment Dis. 1997;185:556–560. doi: 10.1097/00005053-199709000-00004. [DOI] [PubMed] [Google Scholar]
- 21.Aalsma MC, Tong Y, Wiehe SE, et al. The impact of delinquency on young adult sexual risk behaviors and sexually transmitted infections. J Adolesc Health. 2010;46:17–24. doi: 10.1016/j.jadohealth.2009.05.018. [DOI] [PubMed] [Google Scholar]
- 22.Shepherd J, Farrington D. The impact of antisocial lifestyle on health. BMJ. 2003;326:834–835. doi: 10.1136/bmj.326.7394.834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Shepherd J, Farrington D, Potts J. Impact of antisocial lifestyle on health. J Public Health (Oxf). 2004;26:347–352. doi: 10.1093/pubmed/fdh169. [DOI] [PubMed] [Google Scholar]
- 24.Shepherd J, Farrington D, Potts J. Relations between offending, injury and illness. J R Soc Med. 2002;95:539–544. doi: 10.1258/jrsm.95.11.539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Odgers CL, Caspi A, Broadbent JM, et al. Prediction of differential adult health burden by conduct problem subtypes in males. Arch Gen Psychiatry. 2007;64:476–484. doi: 10.1001/archpsyc.64.4.476. [DOI] [PubMed] [Google Scholar]
- 26.Farrington DP. Crime and physical health: illnesses, injuries, accidents and offending in the Cambridge Study. Crim Behav Ment Health. 1995;5:261–278. [Google Scholar]
- 27.Khan MR, Wohl DA, Weir SS, et al. Incarceration and risky sexual partnerships in a southern US city. J Urban Health. 2008;85:100–113. doi: 10.1007/s11524-007-9237-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Khan MR, Miller WC, Schoenbach VJ, et al. Timing and duration of incarceration and high-risk sexual partnerships among African Americans in North Carolina. Ann Epidemiol. 2008;18:403–410. doi: 10.1016/j.annepidem.2007.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Epperson MW, Khan MR, El-Bassel N, et al. A longitudinal study of incarceration and HIV risk among methadone maintained men and their primary female partners. AIDS Behav. 2012;15:347–55. [DOI] [PMC free article] [PubMed]
- 30.Epperson M, El-Bassel N, Gilbert L, et al. Increased HIV risk associated with criminal justice involvement among men on methadone. AIDS Behav. 2008;12:51–57. doi: 10.1007/s10461-007-9298-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Epperson MW, El-Bassel N, Gilbert L, et al. Examining the temporal relationship between criminal justice involvement and sexual risk behaviors among drug-involved men. Journal of Urban Health. 2010;87:324–336. doi: 10.1007/s11524-009-9429-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Khan MR, Doherty IA, Schoenbach VJ, et al. Incarceration and high-risk sex partnerships among men in the United States. J Urban Health. 2009;86:584–601. doi: 10.1007/s11524-009-9348-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Comfort M, Grinstead O, McCartney K, et al. “You can’t do nothing in this damn place”: sex and intimacy among couples with an incarcerated male partner. The Journal of Sex Research. 2005;42:3–12. doi: 10.1080/00224490509552251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lowenstein A. Coping with stress: the case of prisoner’s wives. Journal of Marriage and the Family. 1984;46:699–708. doi: 10.2307/352611. [DOI] [Google Scholar]
- 35.Browning S, Miller S, Lisa M. Criminal incarceration dividing the ties that bind: Black men and their families. Journal of African American Men. 2001;6:87–102. doi: 10.1007/s12111-001-1016-0. [DOI] [Google Scholar]
- 36.Rindfuss R, Stephen EH. Marital noncohabitation: separation does not make the heart grow fonder. Journal of Marriage and the Family. 1990;52:259–270. doi: 10.2307/352856. [DOI] [Google Scholar]
- 37.Schneller D. Prisoner's families: a study of some social and psychological effects of incarceration on the families of Negro prisoners. Criminology. 1975;12:402–412. doi: 10.1111/j.1745-9125.1975.tb00646.x. [DOI] [Google Scholar]
- 38.Bearman PS, Jones J, Udry JR. The National Longitudinal Study of Adolescent Health. Carolina Population Center, The University of North Carolina at Chapel Hill; 1997. http://wwwcpcuncedu/projects/addhealth. Accessed March16, 2007.
- 39.Udry JR. References, Instruments, and Questionnaires Consulted in the Development of the Add Health In-home Adolescent Interview. Carolina Population Center, The University of North Carolina at Chapel Hill; 1991. http://wwwcpcuncedu/projects/addhealth/files/referpdf. Accessed March16, 2007.
- 40.Resnick MD, Bearman PS, Blum RW, et al. Protecting adolescents from harm. Findings from the National Longitudinal Study on Adolescent Health. Jama. 1997;278:823–832. doi: 10.1001/jama.1997.03550100049038. [DOI] [PubMed] [Google Scholar]
- 41.Chantala K, Tabor J. Strategies to Perform a Design-Based Analysis Using the Add Health Data. Carolina Population Center. The University of North Carolina at Chapel Hill; 1999. http://wwwcpcuncedu/projects/addhealth/files/weight1pdf. Accessed March16, 2007.
- 42.Sieving RE, Beuhring T, Resnick MD, et al. Development of adolescent self-report measures from the National Longitudinal Study of Adolescent Health. J Adolesc Health. 2001;28:73–81. doi: 10.1016/S1054-139X(00)00155-5. [DOI] [PubMed] [Google Scholar]
- 43.Cohen M, Feng Q, Ford CA, et al. Biomarkers in Wave III of the Add Health Study. Carolina Population Center, The University of North Carolina at Chapel Hill; 2003. http://wwwcpcuncedu/projects/addhealth/files/biomarkpdf. Accessed March16, 2007.
- 44.Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol. 1993;138:923–936. doi: 10.1093/oxfordjournals.aje.a116813. [DOI] [PubMed] [Google Scholar]
- 45.Khan MR, Epperson MW, Mateu-Gelabert P, et al. Incarceration, sex with an STI- or HIV-infected partner, and infection with an STI or HIV in Bushwick, Brooklyn, NY: a social network perspective. Am J Public Health. 2011;101:1110–1117. doi: 10.2105/AJPH.2009.184721. [DOI] [PMC free article] [PubMed] [Google Scholar]