The Covariation of Antisocial Behavior and Substance Use in Adolescence: A Behavioral Genetic Perspective

Multivariate genetic studies have revealed genetic correlations between antisocial behavior (ASB) and substance use (SU). However, ASB is heterogeneous, and it remains unclear whether all forms are similarly related to SU. The present study examines links between cannabis use, alcohol consumption, and aggressive and delinquent forms of ASB using a behavioral genetic approach. Participants were 1,688 adolescents (482 monozygotic twins, 852 dizygotic twins, and 354 nontwin siblings) aged 15–23 years old (M = 16.91), sampled from the community in the U.K. Multivariate model fitting revealed that the genetic components of alcohol consumption and cannabis use correlated with those of both aggression (.21 and .49, respectively) and delinquency (.35 and .69, respectively). Results suggest that both aggression and delinquency have genetic effects in common with alcohol consumption and cannabis use.     

Modeling human-bed interaction: the predictive value of anthropometric models in choosing the correct bed support

The sleep system (i.e. the combination of mattress and bed base) is an important factor of the sleep environment since it allows physical recuperation during sleep by providing proper body support. However, various factors influence the interaction between the human body and the sleep system. Contributing factors include body dimensions, distribution of body weight and stiffness of the sleep system across the mattress surface. During the past decade, the rise of several new bedding technologies has made it increasingly difficult for the consumer to select a proper sleep system. Therefore, this study presents a method to model human-bed interaction in order to objectively predict the ideal sleep system for a particular individual. The proposed method combines a personalized anthropometric model with standardized load-deflection characteristics of mattress and bed base. Results for lateral sleep positions show a root mean square deviation of 11.9 ± 6.1 mm between modeled spine shapes and validation shapes, derived from 3D surface scans of the back surface. The method showed to be a reliable tool to individually identify the sleep system providing superior support from a variety of possible mattress-bed base combinations.     

Devil in the Details: A Critical Review of “Theoretical Loss”

In their review of Internet gambling studies, Auer and Griffiths (J Gambl Stud 30(4), 879–887, 2014) question the validity of using bet size as an indicator of gambling intensity. Instead, in that review and in a response (Auer and Griffiths, J Gambl Stud 31(3), 921–931, 2015) to a previous comment (Braverman et al., J Gambl Stud 31(2), 359–366, 2015), Auer and Griffiths suggested using “theoretical loss” as a preferable measure of gambling intensity. This comment extends and advances the discussion about measures of gambling intensity. In this paper, we describe previously identified problems that Auer and Griffiths need to address to sustain theoretical loss as a viable measure of gambling intensity and add details to the discussion that demonstrate difficulties associated with the use of theoretical loss with certain gambling games.     

Communicated commitment and conversational voice: Abbreviated measures of communicative strategies for maintaining organization-public relationships

Guided by relationship theory, this study develops and tests abbreviated operational definitions of communicated commitment and conversational voice as communicative strategies in maintaining organization-public relationships (OPRs). Researchers first identified 25 relational maintenance items from 12 prior published studies. Then surveying three independent subsamples of an organization’s key public (N = 1,169), the distilled list revealed two univariate concepts measured with a total of 11 items. The shorter scales make the measurement and evaluation of communication online and real-world activities more accessible and manageable for practitioners and academics focused on organization-public relationships.     

Mxolisi Nyezwa’s Poetry of No Sure Place

A change in direction of the journal New Coin during the 1990s saw the emergence of a diverse group of poets who had previously struggled for publication. This article recognises this often overlooked collective and argues that they quickly established their own style of “Poetry of No Sure Place”, which expresses a malaise of sadness within South Africa that is popularly felt but rarely articulated. Focusing on three collections of poetry by Mxolisi Nyezwa, I show how this group’s work rests on a permanent – and possibly worsening – sense of imbalance. The article explores how Nyezwa attempts to reconcile a felt public and private need to write, struggles to find a source of connection and questions the permanence of social change in South Africa. Nyezwa epitomises the marginalisation, apprehension and uncertainty of New Coin’s Poetry of No Sure Place.     

On the Output Orientation of the Benefit-of-the-Doubt-Model

While Benefit-of-the-Doubt (BoD) models, as used in the context of composite indicator construction, seek to aggregate outputs only, they are formally equivalent to an input-oriented Data Envelopment Analysis (DEA) model in multiplier form. Strictly read, this introduces conceptually ambiguous results, as input adjustments have no real significance in the context at hand. At heart of this ambiguity lies a double interpretation of what is essentially a binding constraint in BoD’s underlying linear-fractional program. Moreover, there is a direct, reciprocal relation between the BoD-model and an earlier output-oriented DEA model introduced by Lovell et al. (Eur J Oper Res 87:507–518, 1995) for similar purposes. Although these models are essentially similar, I also show that there are instances (i.e. when adding additional weight restrictions) in which the results of one alternative are easier to communicate. The models surveyed in this paper are complemented with a short application on human development data for females living in Brussels municipalities.     

Subgroup analysis and interpretation for phase 3 confirmatory trials: White paper of the EFSPI/PSI working group on subgroup analysis

Subgroup by treatment interaction assessments are routinely performed when analysing clinical trials and are particularly important for phase 3 trials where the results may affect regulatory labelling. Interpretation of such interactions is particularly difficult, as on one hand the subgroup finding can be due to chance, but equally such analyses are known to have a low chance of detecting differential treatment effects across subgroup levels, so may overlook important differences in therapeutic efficacy. EMA have therefore issued draft guidance on the use of subgroup analyses in this setting. Although this guidance provided clear proposals on the importance of pre‐specification of likely subgroup effects and how to use this when interpreting trial results, it is less clear which analysis methods would be reasonable, and how to interpret apparent subgroup effects in terms of whether further evaluation or action is necessary. A PSI/EFSPI Working Group has therefore been investigating a focused set of analysis approaches to assess treatment effect heterogeneity across subgroups in confirmatory clinical trials that take account of the number of subgroups explored and also investigating the ability of each method to detect such subgroup heterogeneity. This evaluation has shown that the plotting of standardised effects, bias‐adjusted bootstrapping method and SIDES method all perform more favourably than traditional approaches such as investigating all subgroup‐by‐treatment interactions individually or applying a global test of interaction. Therefore, these approaches should be considered to aid interpretation and provide context for observed results from subgroup analyses conducted for phase 3 clinical trials.     

Already at the Table: Patterns of Play and Gambling Involvement Prior to Gambling Expansion

During 2011, the Governor of Massachusetts signed a bill to allow casino gambling in the state (Commonwealth of Massachusetts 2011). As a result, two resort casinos will begin operations during 2018 and 2019; a smaller slots parlor began operations during June 2015. Prior to this expansion, gambling was widely available in Massachusetts, through the state lottery, off-track betting, and gambling opportunities available in neighboring states. Within this context, it is important to understand the patterns of gambling involvement in the population prior to gambling expansion. The current study examined gambling involvement, patterns of play, and gambling-related problems prior to gambling expansion among a sample of 511 Massachusetts residents who were members of a statewide Internet panel. To measure patterns of play, we asked questions about past-year games played and frequency of play. To measure breadth of involvement, we assessed the number of different games played. To measure depth of involvement, we measured time spent gambling, amount wagered, and amount won or lost. Principal component analysis revealed four play pattern components accounting for more than 50% of the variance in game play frequency. Multiple regression analyses revealed that component scores composed of casino gambling and skill-based gambling (e.g., poker, sports) variables uniquely contributed to the prediction of gambling-related problems, even when depth of involvement was controlled. However, the addition of breadth of involvement to the model resulted in a model where no set of variables contributed significantly, suggesting a complex relationship among play patterns, depth, and breadth of involvement. The study established discrete and distinguishable gambling play patterns associated with gambling-related problems and identified groups of individuals potentially vulnerable to the effects of gambling expansion.