Linking Session Focus to Treatment Outcome in Evidence-Based Treatments for Adolescent Substance Abuse

The relation between specific therapy techniques and treatment outcome was examined for 2 empirically supported treatments for adolescent substance abuse: individual cognitive–behavioral therapy and multidimensional family therapy. Participants were 51 inner-city, substance-abusing adolescents receiving outpatient psychotherapy within a larger randomized trial. One session per case was evaluated using a 17-item observational measure of model-specific techniques and therapeutic foci. Exploratory factor analysis identified 2 subscales, Adolescent Focus and Family Focus, with strong interrater reliability and internal consistency. Process–outcome analyses revealed that family focus, but not adolescent focus, predicted posttreatment improvement in drug use, externalizing symptoms, and internalizing symptoms within both study conditions. Implications for the implementation and dissemination of individual-based and family-based approaches for adolescent drug use are discussed

Autonomy and Relatedness in Inner-City Families of Substance Abusing Adolescents

This study examined parent-adolescent autonomous-relatedness functioning in inner-city, ethnic minority families of adolescents exhibiting drug abuse and related problem behaviors. Seventy-four parent-adolescent dyads completed a structured interaction task prior to the start of treatment that was coded using an established autonomous-relatedness measure. Adolescent drug use, externalizing, and internalizing behaviors were assessed. Parents and adolescents completed assessment instruments measuring parenting style and family conflict. Confirmatory factor analysis found significant differences in the underlying dimensions of parent and adolescent autonomous-relatedness in this sample versus previous samples. It was also found that autonomous-relatedness was associated with worse adolescent symptomatology and family impairment. Results based on both self-report and observational measures contribute to the understanding of key family constructs in this population and provide insight for both researchers and the treatment community

Why and how to include parents in the treatment of adolescents presenting Internet gaming disorder?

Background and aims: Clinicians and researchers are increasingly interested in investigating excessive use of video gaming recently named Internet gaming disorder (IGD). As is the case with extensively researched adolescent problem behaviors such as substance use disorder, several studies associate IGD with the young person’s family environment and the parent–adolescent relationship in particular. Evidence-based treatments for a range of adolescent clinical problems including behavioral addictions demonstrate efficacy, the capacity for transdiagnostic adaptation, and lasting impact. However, less attention has been paid to developing and testing science-based interventions for IGD, and at present most tested interventions for IGD have been individual treatments (cognitive behavioral therapy). Methods: This article presents the rationale for a systemic conceptualization of IGD and a therapeutic approach that targets multiple units or subsystems. The IGD treatment program is based on the science-supported multidimensional family therapy approach (MDFT). Following treatment development work, the MDFT approach has been adapted for IGD. Results: The article discusses recurring individual and family-based clinical themes and therapeutic responses in the MDFT-IGD clinical model, which tailors interventions for individuals and subsystems within the young person’s family. Discussion and conclusions: Basic science developmental research can inform conceptualization of IGD and a systemic logic model of intervention and change. This paper aims to expand treatment theorizing and intervention approaches for practitioners working with frequently life-altering behaviors of excessive Internet gaming. We operationalize this aim by addressing the question of why and how parents should be involved in youth IGD treatment

Impact of psychiatric comorbidity on treatment of adolescent drug abusers

Abstract Comorbidity of substance abuse disorders (SUD) and psychiatric disorders is one of the most important areas of investigation in contemporary drug abuse treatment research. This study examined the impact of psychiatric comorbidity on the treatment of 182 adolescent drug abusers in a randomized clinical trial comparing family and individual cognitive-behavioral therapy. Three distinct groups of adolescent substance abusers were compared: (1) Exclusive Substance Abusers (SUD only); (2) Externalizers (SUD + externalizing disorder); and (3) Mixed Substance Abusers (SUD + externalizing and internalizing disorder). The purpose of this study was to determine whether adolescents in these comorbid groups differed in clinical presentation and treatment response. More severe comorbidity was associated with greater family dysfunction and being female and younger at intake. An examination of substance use trajectories over time indicated that the Mixed group initially responded to treatment but returned to intake levels of substance use by 1 year post-discharge.

HAT-P-24b: An inflated hot-Jupiter on a 3.36d period transiting a hot, metal-poor star

We report the discovery of HAT-P-24b, a transiting extrasolar planet orbiting the moderately bright V=11.818 F8 dwarf star GSC 0774-01441, with a period P = 3.3552464 +/- 0.0000071 d, transit epoch Tc = 2455216.97669 +/- 0.00024 (BJD_UTC), and transit duration 3.653 +/- 0.025 hours. The host star has a mass of 1.191 +/- 0.042 Msun, radius of 1.317 +/- 0.068 Rsun, effective temperature 6373 +/- 80 K, and a low metallicity of [Fe/H] = -0.16 +/- 0.08. The planetary companion has a mass of 0.681 +/- 0.031 MJ, and radius of 1.243 +/- 0.072 RJ yielding a mean density of 0.439 +/- 0.069 g cm-3 . By repeating our global fits with different parameter sets, we have performed a critical investigation of the fitting techniques used for previous HAT planetary discoveries. We find that the system properties are robust against the choice of priors. The effects of fixed versus fitted limb darkening are also examined. HAT-P-24b probably maintains a small eccentricity of e = 0.052 +0.022 -0.017, which is accepted over the circular orbit model with false alarm probability 5.8%. In the absence of eccentricity pumping, this result suggests HAT-P-24b experiences less tidal dissipation than Jupiter. Due to relatively rapid stellar rotation, we estimate that HAT-P-24b should exhibit one of the largest known Rossiter-McLaughlin effect amplitudes for an exoplanet (deltaVRM ~ 95 m/s) and thus a precise measurement of the sky-projected spin-orbit alignment should be possible.Comment: 13 pages with 4 figures and 8 tables in emulateapj format. Minor changes. Accepted in The Astrophysical Journa

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Abstract: Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers

SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems

Building on the legacy of the Sloan Digital Sky Survey (SDSS-I and II), SDSS-III is a program of four spectroscopic surveys on three scientific themes: dark energy and cosmological parameters, the history and structure of the Milky Way, and the population of giant planets around other stars. In keeping with SDSS tradition, SDSS-III will provide regular public releases of all its data, beginning with SDSS DR8 (which occurred in Jan 2011). This paper presents an overview of the four SDSS-III surveys. BOSS will measure redshifts of 1.5 million massive galaxies and Lya forest spectra of 150,000 quasars, using the BAO feature of large scale structure to obtain percent-level determinations of the distance scale and Hubble expansion rate at z<0.7 and at z~2.5. SEGUE-2, which is now completed, measured medium-resolution (R=1800) optical spectra of 118,000 stars in a variety of target categories, probing chemical evolution, stellar kinematics and substructure, and the mass profile of the dark matter halo from the solar neighborhood to distances of 100 kpc. APOGEE will obtain high-resolution (R~30,000), high signal-to-noise (S/N>100 per resolution element), H-band (1.51-1.70 micron) spectra of 10^5 evolved, late-type stars, measuring separate abundances for ~15 elements per star and creating the first high-precision spectroscopic survey of all Galactic stellar populations (bulge, bar, disks, halo) with a uniform set of stellar tracers and spectral diagnostics. MARVELS will monitor radial velocities of more than 8000 FGK stars with the sensitivity and cadence (10-40 m/s, ~24 visits per star) needed to detect giant planets with periods up to two years, providing an unprecedented data set for understanding the formation and dynamical evolution of giant planet systems. (Abridged)Comment: Revised to version published in The Astronomical Journa

Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

publisher: Elsevier articletitle: Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes journaltitle: Cell articlelink: https://doi.org/10.1016/j.cell.2018.05.046 content_type: article copyright: © 2018 Elsevier Inc