Our goal in the present study was to examine the effects of maternal smoking during pregnancy on infant self-regulation, exploring birth weight as a mediator and sex as a moderator of risk. A prospective sample of 218 infants was assessed at 6 months of age. Infants completed a battery of tasks assessing working memory/inhibition, attention, and emotional reactivity and regulation. Propensity scores were used to statistically control for confounding risk factors associated with maternal smoking during pregnancy. After prenatal and postnatal confounds were controlled, prenatal tobacco exposure was related to reactivity to frustration and control of attention during stimulus encoding. Birth weight did not mediate the effect of prenatal exposure but was independently related to reactivity and working memory/inhibition. The effect of tobacco exposure was not moderated by sex. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

OBJECTIVE: In the context of an increasing correctional population and corresponding rates of mental illness and substance abuse among this population, this study focuses on describing the predictors of substance abuse service utilization for ex-inmates with dual disorders. Our aim is to assess the likelihood and characteristics of ex-inmates with mental disorders who access substance abuse treatment services within two years of correctional release. METHODS: Using merged administrative data on all ex-inmates with open mental health cases released from Massachusetts Department of Corrections and two County Houses of Corrections from 2007 to 2009 (N=2,280) and substance abuse treatment outcome data through 2011, we analyze the influence of demographics, behavioral and mental disorders, and criminal justice variables on entry into substance abuse treatment within 24 months post release. We also describe primary drug use and services utilized for all the ex-inmates who accessed substance abuse services (N=1,383). Regression techniques were used to analyze the probability of utilizing substance abuse treatment services by various demographic, behavioral, and criminal involvement characteristics. RESULTS: The prevalence of a history of substance use disorders is high in this population (69%; n = 1,285). Subsequently, at 24 months post release 61% (n = 1,383) of ex-inmates with open mental health cases utilized substance abuse treatment services. This group was disproportionately female, with a preincarceration history of substance abuse, an increased number of previous incarcerations, and more likely released under correctional supervision. CONCLUSIONS: Substance abuse is a chronic relapsing disorder and dual diagnosis is common among individuals with mental disorders involved with the criminal justice system. Their service needs and contacts across substance abuse, mental health, and criminal justice systems highlight individuals caught up in the institutional circuit. Study results point to the need for expanded and targeted dual diagnosis treatment approaches and relapse prevention for ex-inmates with mental disorders post correctional release.

Our study is the first-ever initiative to merge administrative databases in Massachusetts to evaluate an important public mental health program. It examines post-incarceration outcomes of adults with serious mental illness (SMI) enrolled in the Massachusetts Department of Mental Health (DMH) Forensic Transition Team (FTT) program. The program began in 1998 with the goal of transitioning offenders with SMI released from state and local correctional facilities utilizing a core set of transition activities. In this study we evaluate the program's effectiveness using merged administrative data from various state agencies for the years 2007-2011, comparing FTT clients to released prisoners who, despite having serious mental health disorders, did not meet the criterion for DMH services. By systematically describing our original study design and the barriers we encountered, this report will inform future efforts to evaluate public programs using merged administrative databases and electronic health records.

Smoking during pregnancy is a persistent public health problem that has been linked to later adverse outcomes. The neonatal period-the first month of life-carries substantial developmental change in regulatory skills and is the period when tobacco metabolites are cleared physiologically. Studies to date mostly have used cross-sectional designs that limit characterizing potential impacts of prenatal tobacco exposure on the development of key self-regulatory processes and cannot disentangle short-term withdrawal effects from residual exposure-related impacts. In this study, pregnant participants (N = 304) were recruited prospectively during pregnancy, and smoking was measured at multiple time points, with both self-report and biochemical measures. Neonatal attention, irritable reactivity, and stress dysregulation were examined longitudinally at three time points during the first month of life, and physical growth indices were measured at birth. Tobacco-exposed infants showed significantly poorer attention skills after birth, and the magnitude of the difference between exposed and nonexposed groups attenuated across the neonatal period. In contrast, exposure-related differences in irritable reactivity largely were not evident across the 1st month of life, differing marginally at 4 weeks of age only. Third-trimester smoking was associated with pervasive, deleterious, dose-response impacts on physical growth measured at birth, whereas nearly all smoking indicators throughout pregnancy predicted level and growth rates of early attention. The observed neonatal pattern is consistent with the neurobiology of tobacco on the developing nervous system and fits with developmental vulnerabilities observed later in life. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

BACKGROUND: Prenatal tobacco exposure is a risk factor for the development of externalizing behaviors and is associated with several adverse health outcomes. Because pregnancy smoking is a complex behavior with both daily fluctuations and changes over the course of pregnancy, quantifying tobacco exposure is a significant challenge. To better measure the degree of tobacco exposure, costly biological specimens and repeated self-report measures of smoking typically are collected throughout pregnancy. With such designs, there are multiple, and substantially correlated, indices that can be integrated via new statistical methods to identify patterns of prenatal exposure. METHOD: A multiple-imputation-based fuzzy clustering technique was designed to characterize topography of prenatal exposure. This method leveraged all repeatedly measured maternal smoking variables in our sample data, including (a) cigarette brand; (b) Fagerstrom nicotine dependence item scores; (c) self-reported smoking; and (d) cotinine level in maternal urine and infant meconium samples. Identified exposure groups then were confirmed using a suite of clustering validation indices based on multiple imputed datasets. The classifications were validated against irritable reactivity in the first month of life and birth weight of 361 neonates (Male(_n)=185; Female(_n)=176; Gestational Age_(Mean)=39weeks). RESULTS: This proposed approach identified three exposure groups, non-exposed, lighter-tobacco-exposed, and heavier-tobacco-exposed based on high-dimensional attributes. Unlike cut-off score derived groups, these groupings reflect complex smoking behavior and individual variation of nicotine metabolism across pregnancy. The identified groups predicted differences in birth weight and in the pattern of change in neonatal irritable reactivity, as well as resulted in increased predictive power. Multiple-imputation-based fuzzy clustering appears to be a useful method to categorize patterns of exposure and their impact on outcomes.

INTRODUCTION: Despite efforts to control for confounding variables using stringent sampling plans, selection bias typically exists in observational studies, resulting in unbalanced comparison groups. Ignoring selection bias can result in unreliable or misleading estimates of the causal effect. METHODS: Generalized boosted models were used to estimate propensity scores from 42 confounding variables for a sample of 361 neonates. Using emergent neonatal attention and orientation skills as an example developmental outcome, we examined the impact of tobacco exposure with and without accounting for selection bias. Weight at birth, an outcome related to tobacco exposure, also was used to examine the functionality of the propensity score approach. RESULTS: Without inclusion of propensity scores, tobacco-exposed neonates did not differ from their nonexposed peers in attention skills over the first month or in weight at birth. When the propensity score was included as a covariate, exposed infants had marginally lower attention and a slower linear change rate at 4 weeks, with greater quadratic deceleration over the first month. Similarly, exposure-related differences in birth weight emerged when propensity scores were included as a covariate. CONCLUSIONS: The propensity score method captured the selection bias intrinsic to this observational study of prenatal tobacco exposure. Selection bias obscured the deleterious impact of tobacco exposure on the development of neonatal attention. The illustrated analytic strategy offers an example to better characterize the impact of prenatal tobacco exposure on important developmental outcomes by directly modeling and statistically accounting for the selection bias from the sampling process.