Faculty Bibliography

BACKGROUND: This article provides a description of the rationale, design, and methods of a multisite clinical trial which evaluates the potential benefits of an evidence-based psychosocial treatment, STAIR Narrative Therapy, among women with posttraumatic stress disorder (PTSD) related to interpersonal violence who are seeking services in public sector community mental health clinics. This is the first large multisite trial of an evidence-based treatment for PTSD provided in the context of community settings that are dedicated to the treatment of poverty-level patient populations. METHODS: The study is enrolling 352 participants in a minimum of community clinics. Participants are randomized into either STAIR Narrative Therapy or Treatment As Usual (TAU). Primary outcomes are PTSD, emotion management, and interpersonal problems. The study will allow a flexible application of the protocol determined by patient need and preferences. Secondary analyses will assess the relationship of outcomes to different patterns of treatment implementation for different levels of baseline symptom severity. DISCUSSION: The article discusses the rationale and study issues related to the use of a flexible delivery of a protocol treatment and of the selection of treatment as it is actually practiced in the community as the comparator.Trial registration: Clinicaltrials.gov identifier: NCT01488539.

BACKGROUND: Support for cannabis ("marijuana") legalization is increasing in the United States (US). Use was recently legalized in two states and in Uruguay, and other states and countries are expected to follow suit. This study examined intentions to use among US high school seniors if cannabis were to become legally available. METHODS: Data from the last five cohorts (2007-2011) of high school seniors in Monitoring the Future, an annual nationally representative survey of students in the US were utilized. Data were analyzed separately for the 6116 seniors who reported no lifetime use of cannabis and the 3829 seniors who reported lifetime use (weighted Ns). We examined whether demographic characteristics, substance use and perceived friend disapproval towards cannabis use were associated with (1) intention to try cannabis among non-lifetime users, and (2) intention to use cannabis as often or more often among lifetime users, if cannabis was legal to use. RESULTS: Ten percent of non-cannabis-using students reported intent to initiate use if legal and this would be consistent with a 5.6% absolute increase in lifetime prevalence of cannabis use in this age group from 45.6% (95% CI=44.6, 46.6) to 51.2% (95% CI=50.2, 52.2). Eighteen percent of lifetime users reported intent to use cannabis more often if it was legal. Odds for intention to use outcomes increased among groups already at high risk for use (e.g., males, whites, cigarette smokers) and odds were reduced when friends disapproved of use. However, large proportions of subgroups of students normally at low risk for use (e.g., non-cigarette-smokers, religious students, those with friends who disapprove of use) reported intention to use if legal. Recent use was also a risk factor for reporting intention to use as often or more often. CONCLUSION: Prevalence of cannabis use is expected to increase if cannabis is legal to use and legally available.

The development of screening instruments for psychiatric disorders involves item selection from a pool of items in existing questionnaires assessing clinical and behavioral phenotypes. A screening instrument should consist of only a few items and have good accuracy in classifying cases and non-cases. Variable/item selection methods such as Least Absolute Shrinkage and Selection Operator (LASSO), Elastic Net, Classification and Regression Tree, Random Forest, and the two-sample t-test can be used in such context. Unlike situations where variable selection methods are most commonly applied (e.g., ultra high-dimensional genetic or imaging data), psychiatric data usually have lower dimensions and are characterized by the following factors: correlations and possible interactions among predictors, unobservability of important variables (i.e., true variables not measured by available questionnaires), amount and pattern of missing values in the predictors, and prevalence of cases in the training data. We investigate how these factors affect the performance of several variable selection methods and compare them with respect to selection performance and prediction error rate via simulations. Our results demonstrated that: (1) for complete data, LASSO and Elastic Net outperformed other methods with respect to variable selection and future data prediction, and (2) for certain types of incomplete data, Random Forest induced bias in imputation, leading to incorrect ranking of variable importance. We propose the Imputed-LASSO combining Random Forest imputation and LASSO; this approach offsets the bias in Random Forest and offers a simple yet efficient item selection approach for missing data. As an illustration, we apply the methods to items from the standard Autism Diagnostic Interview-Revised version.

Despite the common co-occurrence of symptoms of attention deficit hyperactivity disorder (ADHD) in individuals with autism spectrum disorders (ASD), the underlying mechanisms are under-explored. A potential candidate for investigation is response time intra-subject variability (RT-ISV), a hypothesized marker of attentional lapses. Direct comparisons of RT-ISV in ASD versus ADHD are limited and contradictory. We aimed to examine whether distinct fluctuations in RT-ISV characterize children with ASD and with ADHD relative to typically developing children (TDC). We applied both a priori-based and data-driven strategies to RT performance of 46 children with ASD, 46 with ADHD, and 36 TDC (aged 7-11.9 years). Specifically, we contrasted groups relative to the amplitude of four preselected frequency bands as well as to 400 frequency bins from 0.006 to 0.345 Hz. In secondary analyses, we divided the ASD group into children with and without substantial ADHD symptoms (ASD+ and ASD-, respectively). Regardless of the strategy employed, RT-ISV fluctuations at frequencies between 0.20 and 0.345 Hz distinguished children with ADHD, but not children with ASD, from TDC. Children with ASD+ and those with ADHD shared elevated amplitudes of RT-ISV fluctuations in frequencies between 0.18 and 0.345 Hz relative to TDC. In contrast, the ASD- subgroup did not differ from TDC in RT-ISV frequency fluctuations. RT-ISV fluctuations in frequencies 0.18-0.345 Hz (i.e., periods between 3 and 5 s) are associated with ADHD symptoms regardless of categorical diagnosis and may represent a biomarker. These results suggest that children with ADHD and those with ASD+ share common underlying pathophysiological mechanisms of RT-ISV.

To explore behavioral differences as possible cultural factors in presentation of psychiatric comorbidity in two clinically referred, consecutively ascertained samples of youth with Tourette's disorder (TD) from New York and Buenos Aires. Subjects were evaluated between 2002 and 2010 at the Tics and Tourette's Clinical and Research Program at the New York University Child Study Center in New York and the Interdisciplinary Center for Tourette's, Obsessive Compulsive Disorder (OCD) and Associated Disorders (CITTTA)/Institute of Cognitive Psychology (INECO) in Buenos Aires. Demographic, diagnostic, tic severity (Yale Global Tic Severity Scale; YGTSS), clinical (Child Behavior Check List-Parent version; CBCL), and global functioning (Global Assessment of Functioning; GAF) data were compared using descriptive statistics. The sample included 111 subjects ages 6-17 years, who met DSM-IV-TR diagnostic criteria for TD. Findings revealed that the BA sample (n = 35) was significantly older at initial evaluation at the tic specialty clinic, and had higher frequency of oppositional defiant disorder (ODD), mood and non-OCD anxiety disorders than the NY sample (n = 76). There were no differences in gender distribution, age at tic onset or TD diagnosis, tic severity, proportion with current diagnoses of OCD/OC behavior or attention deficit hyperactivity disorder (ADHD), CBCL internalizing, externalizing, or total problems scores, YGTSS scores, or GAF scores. The observed similarities in demographic features, clinical presentation, rates of ADHD and OCD/OCB, and global impairment may reflect similar phenomenology and illness-related characteristics of TD in these referred youth. Differences in age at initial specialty clinic evaluation and rates of ODD, mood and non-OCD anxiety disorders may need further exploration before they may be considered to reflect cultural factors. Because of these limitations (e.g. small sample size), these results can be regarded only as preliminary.

A recent meta-regression of antidepressant efficacy on baseline depression severity has caused considerable controversy in the popular media. A central source of the controversy is a lack of clarity about the relation of meta-regression parameters to corresponding parameters in models for subject-level data. This paper focuses on a linear regression with continuous outcome and predictor, a case that is often considered less problematic. We frame meta-regression in a general mixture setting that encompasses both finite and infinite mixture models. In many applications of meta-analysis, the goal is to evaluate the efficacy of a treatment from several studies, and authors use meta-regression on grouped data to explain variations in the treatment efficacy by study features. When the study feature is a characteristic that has been averaged over subjects, it is difficult not to interpret the meta-regression results on a subject level, a practice that is still widespread in medical research. Although much of the attention in the literature is on methods of estimating meta-regression model parameters, our results illustrate that estimation methods cannot protect against erroneous interpretations of meta-regression on grouped data. We derive relations between meta-regression parameters and within-study model parameters and show that the conditions under which slopes from these models are equal cannot be verified on the basis of group-level information only. The effects of these model violations cannot be known without subject-level data. We conclude that interpretations of meta-regression results are highly problematic when the predictor is a subject-level characteristic that has been averaged over study subjects.

OBJECTIVE:To evaluate the impact of an early childhood, family-centered, school-based intervention on children's kindergarten academic achievement.METHODS:This was a cluster (school) randomized controlled trial with assessments from pre-kindergarten (pre-k) entry through the end of kindergarten. The setting was 10 public elementary schools with 26 pre-k classes in 2 school districts in urban disadvantaged neighborhoods serving a largely black, low-income population. Participants were 1050 black and Latino, low-income children (age 4; 88% of pre-k population) enrolled in 10 schools over 4 years. Universal intervention aimed to promote self-regulation and early learning by strengthening positive behavior support and effective behavior management at home and school, and increasing parent involvement in education. Intervention included after-school group sessions for families of pre-k students (13 2-hour sessions; co-led by pre-k teachers) and professional development for pre-k and kindergarten teachers. The outcome measures were standardized test scores of kindergarten reading, writing, and math achievement by independent evaluators masked to intervention condition (primary outcome); developmental trajectories of teacher-rated academic performance from pre-k through kindergarten (secondary outcome).RESULTS:Relative to children in control schools, children in intervention schools had higher kindergarten achievement test scores (Cohen's d = 0.18, mean difference = 2.64, SE = 0.90, P = .03) and higher teacher-rated academic performance (Cohen's d = 0.25, mean difference = 5.65, SE = 2.34, P = .01).CONCLUSIONS:Early childhood population-level intervention that enhances both home and school environments shows promise to advance academic achievement among minority children from disadvantaged, urban neighborhoods.

One of the cognitive changes associated with Alzheimer's disease is a diminution of the primacy effect, i.e., the tendency toward better recall of items studied early on a list compared with the rest. We examined whether learning and recall of primacy words predicted subsequent cognitive decline in 204 elderly subjects who were non-demented and cognitively intact when first examined. Our results show that poorer primacy performance in the Rey Auditory Verbal Learning Test delayed recall trials, but not in immediate recall trials, is an effective predictor of subsequent decline in general cognitive function. This pattern of performance can be interpreted as evidence that failure to consolidate primacy items is a marker of cognitive decline.

Objective: The study compared the efficacy of 2 behavioral interventions to ameliorate organization, time management, and planning (OTMP) difficulties in 3rd- to 5th-grade children with attention-deficit/hyperactivity disorder (ADHD). Method: In a dual-site randomized controlled trial, 158 children were assigned to organizational skills training (OST; N = 64); PATHKO, a performance-based intervention that precluded skills training (N = 61); or a wait-list control (WL, N = 33). Treatments were 20 individual clinic-based sessions over 10-12 weeks. OST involved skills building provided primarily to the child. PATHKO trained parents and teachers to reinforce children contingently for meeting end-point target goals. Primary outcomes were the Children's Organizational Skills Scales (COSS-Parent, COSS-Teacher). Other relevant functional outcomes were assessed. Percentage of participants no longer meeting inclusion criteria for OTMP impairments informed on clinical significance. Assessments occurred at post-treatment, 1-month post-treatment, and twice in the following school year. Results: OST was superior to WL on the COSS-P (Cohen's d = 2.77; p < .0001), COSS-T (d = 1.18; p < .0001), children's COSS self-ratings, academic performance and proficiency, homework, and family functioning. OST was significantly better than PATHKO only on the COSS-P (d = 0.63; p < .005). PATHKO was superior to WL on most outcomes but not on academic proficiency. Sixty percent of OST and PATHKO participants versus 3% of controls no longer met OTMP inclusion criteria. Significant maintenance effects were found for both treatments. Conclusions: Two distinct treatments targeting OTMP problems in children with ADHD generated robust, sustained functional improvements. The interventions show promise of clinical utility in children with ADHD and organizational deficits. (PsycINFO Database Record (c) 2013 APA, all rights reserved).