Are Late Bloomers Real? Identification and Comparison of Late-Onset Offending Patterns from Ages 14-40.

Numerous studies have identified a late-onset pattern of offending, yet debate remains over whether this pattern is real or attributable to measurement error. The goal of the present study is to identify whether this late-onset trajectory exists. We used prospective longitudinal data from the Rochester Youth Development Study and group-based trajectory modeling to identify distinct developmental patterns in self-reported incidence of general delinquency from approximately ages 14 to age 31. We then examined and compared the means of general, violent, street, and property offending for individuals belonging to late bloomer, chronic, and low-level offending trajectories across three periods: 1) pre-onset (ages 14-17), 2) post-onset (ages 29-31), and, 3) for a subset of participants participating in a follow-up study, post-trajectory (ages 32-40). Results confirmed the existence of a distinct late bloomers offending trajectory characterized by low rates of delinquency throughout adolescence and high levels throughout adulthood. Furthermore, late bloomers had similar mean levels of delinquency as low-level offenders and that were considerably lower than chronic offenders in the pre-onset period and similar means of offending as chronic offenders that were considerably higher than low-level offenders in the post-onset and post-trajectory periods. Comparisons of these three groups on adolescent risk and protective factors indicated that late bloomers were more similar to individuals in the low-level trajectory and had fewer risk and more protective factors than individuals following a chronic trajectory. Contrary to prior work which attributes late-onset offending to reliance on official data which fails to detect adolescent offending, late bloomer offending appears to be a genuine phenomenon. These results lend greater support to dynamic theories of crime.

Longitudinal effects of social network changes on drinking outcomes for individuals with a first-time DUI.

BACKGROUND: Social networks are important predictors of alcohol-related outcomes, especially among those with a DUI where riskier social networks are associated with increased risk of drinking and driving. Social networks are increasingly a target for intervention; however, no studies have examined and measured whether longitudinal changes in social networks are associated with reductions in impaired driving. OBJECTIVE: The current study first examines longitudinal changes in social networks among participants receiving services following a first-time DUI, and then examines the association between network change and drinking outcomes at 4- and 10-month follow-up. METHODS: The study surveyed a subsample of participants (N = 94) enrolled in a clinical trial of individuals randomized to cognitive behavioral therapy (CBT) or usual care (UC) on an iPad using EgoWeb 2.0-an egocentric social network data collection software-about pre-DUI and post-DUI networks and their short- and long-term drinking behaviors. RESULTS: Participants were 65% male, 48% Hispanic, and an average of 32.5 years old. Overall, participants significantly reduced the proportion of network members with whom they drank from 0.41 to 0.30 (p = .001) and with whom they drank more alcohol than they wanted to from 0.15 to 0.07 (p = .0001) from two weeks prior to the DUI (measured at baseline) to 4-month follow-up. Furthermore, decreases in proportion of drinking partners over time were associated with reduced drinks per week, self-reported driving after drinking, and intentions to drive after drinking at 4-month follow-up. Participants who reported decreases in proportion of drinking partners also reported significantly less binge drinking at 10-month follow-up. Finally, increases in emotional support were associated with decreases in binge drinking at 4-month follow-up. The study found no differences in the changes in composition of networks between CBT and UC groups. CONCLUSIONS: These results suggest that individuals receiving services in DUI programs significantly reduced risky network members over time and that these social network changes were associated with reduced drinking and other indicators of risk for DUI recidivism. Clinical interventions that target reductions in risky network members may improve outcomes for those enrolled in a DUI program.

Social Networks of Clients in First-Time DUI Programs.

OBJECTIVE: Social networks play an important role in the development of and recovery from problem drinking behaviors; however, few studies have measured the social networks of individuals convicted of driving under the influence (DUI) or assessed the relationship between social network characteristics and risk for DUI relapse and recidivism. The goal of this study is to describe the social network characteristics of a first-time DUI population in the 2 weeks before the DUI incident; examine demographic differences in social network characteristics by age, ethnicity, and gender; and assess the relationship between social network characteristics and risk factors for DUI. METHOD: We collected personal (egocentric) social network survey data from 94 participants (65% male) enrolled in a randomized clinical trial comparing the effects of cognitive behavioral therapy with usual care for individuals convicted of a first-time DUI. Multivariate models were used to assess the relationship between pre-DUI personal network characteristics and risk factors for DUI measured at baseline interview. RESULTS: Results indicate that the proportion of drinking partners in one's personal network was positively associated with drinks per week, binge drinking, alcohol use, marijuana use, and alcohol-related consequences. Several dimensions of personal network support were inversely associated with risk factors for DUI. CONCLUSIONS: The pre-DUI composition of personal networks has a strong relationship to baseline risk factors for DUI; networks composed of more risky individuals (e.g., drinking partners) were associated with greater substance use and drinking and driving behaviors. Networks with greater levels of social support were associated with lower likelihood of self-reported driving after drinking and intentions to drive after drinking. Interventions that target positive and negative aspects of personal networks may enhance clinical treatments.

Towards greater understanding of addiction stigma: Intersectionality with race/ethnicity and gender.

BACKGROUND: In spite of the significant burden associated with substance use disorders, especially among persons who inject drugs (PWIDs), most affected individuals do not engage with any type of formal or informal treatment. Addiction stigma, which is represented by negative social attitudes toward individuals who use alcohol and/or other drugs, is one of the barriers to care that is poorly understood. The current study: a) assessed implicit (indirect and difficult to consciously control) and explicit (consciously controlled) beliefs about PWIDs among visitors to a public web site; and b) experimentally investigated the effects of ethnicity/race and gender on those implicit and explicit beliefs. METHODS: N=899 predominantly White (70%) and women (62%) were randomly assigned to one of six target PWIDs conditions: gender (man/woman) x race/ethnicity (White, Black, Latino/a). Participants completed an Implicit Association Test and explicit assessment of addiction stigma. RESULTS: Participants implicitly associated PWIDs (especially Latino/a vs. White PWIDs) with deserving punishment as opposed to help (p=0.003, d=0.31), indicating presence of addiction stigma-related implicit beliefs. However, this bias was not evident on the explicit measure (p=0.89). Gender did not predict differential implicit or explicit addiction stigma (p=0.18). CONCLUSIONS: Contrary to explicit egalitarian views towards PWIDs, participants' implicit beliefs were more in line with addiction stigma. If replicated and clearer ties to behavior are established, results suggest the potential importance of identifying conditions under which implicit bias might influence behavior (even despite explicit egalitarian views) and increase the likelihood of discrimination towards PWIDs.

From early dating violence to adult intimate partner violence: Continuity and sources of resilience in adulthood.

BACKGROUND: Previous literature has found continuity for intimate partner violence, but little research has explored continuity between dating violence and adult intimate partner violence (IPV) or whether protective factors may attenuate this relationship. AIMS: This research hypothesised a positive relationship between dating violence in early adulthood and later adulthood IPV and that support and attachment would provide buffering and direct protection for this relationship. METHODS: Data from the Rochester Youth Development Study were used to explore these questions through negative binomial regression. RESULTS: Dating violence was statistically significantly related to an increase of adult IPV. Family support, parental reports of attachment to the subject, peer support and parenting-related social support all were protective factors that provided a direct effect for those respondents perpetrating dating violence. None of the protective factors provided buffering protection between dating violence and adult IPV. CONCLUSIONS: Results confirm significant continuity between dating violence and IPV and that support from peers and family, parenting-related support and parental reports of attachment protect an individual from continuing to engage in intimate partner violence throughout adulthood. Bolstering these supportive relationships may help provide points of intervention to interrupt the link between early dating violence and later adulthood IPV. Copyright © 2016 John Wiley & Sons, Ltd.

Adolescent risk factors for child maltreatment.

We investigate adolescent risk factors, measured at both early and late adolescence, for involvement in child maltreatment during adulthood. Comprehensive assessments of risk factors for maltreatment that use representative samples with longitudinal data are scarce and can inform multilevel prevention. We use data from the Rochester Youth Development Study, a longitudinal study begun in 1988 with a sample of 1,000 seventh and eighth graders. Participants have been interviewed 14 times and, at the last assessment (age 31), 80% were retained. Risk factors represent 10 developmental domains: area characteristics, family background/structure, parent stressors, exposure to family violence, parent-child relationships, education, peer relationships, adolescent stressors, antisocial behaviors, and precocious transitions to adulthood. Maltreatment is measured by substantiated reports from Child Protective Services records. Many individual risk factors (20 at early adolescence and 14 at later adolescence) are significantly, albeit moderately, predictive of maltreatment. Several developmental domains stand out, including family background/structure, education, antisocial behaviors, and precocious transitions. In addition, there is a pronounced impact of cumulative risk on the likelihood of maltreatment. For example, only 3% of the youth with no risk domains in their background at early adolescence were involved in later maltreatment, but for those with risk in 9 developmental domains the rate was 45%. Prevention programs targeting youth at high risk for engaging in maltreatment should begin during early adolescence when risk factors are already at play. These programs need to be comprehensive, capable of addressing the multiple and interwoven nature of risk that is associated with maltreatment.