Smoking and Membership in a Fraternity or Sorority: A Systematic Review of the Literature

Abstract

Objective: Fraternity and sorority members have higher rates of smoking than other college students. This systematic review examines studies that included fraternity/sorority membership in their investigation of smoking behaviors. Participants/Methods: Studies identified in MEDLINE, PsychInfo, JSTOR, CINAHL, ERIC, and Google Scholar published between 2003 and 2013 were included if they included fraternity and/or sorority membership, were written in English, published in a peer-reviewed journal, and had smoking as an outcome variable. Nineteen studies were identified for the review. Results: Fraternity/sorority members were more likely to be nondaily smokers. Members who lived in the fraternity/sorority house had higher rates of smoking than members who lived elsewhere. Fraternity/sorority member smoking was associated with alcohol and other substance use. The influence of no-smoking policies on fraternity/sorority member smoking was also examined. Conclusions: Fraternity/sorority membership was associated with higher rates of smoking, but this association was influenced by other substance use and environmental factors.     

A comparison of subgroup identification methods in clinical drug development: Simulation study and regulatory considerations

With advancement of technologies such as genomic sequencing, predictive biomarkers have become a useful tool for the development of personalized medicine. Predictive biomarkers can be used to select subsets of patients, which are most likely to benefit from a treatment. A number of approaches for subgroup identification were proposed over the last years. Although overviews of subgroup identification methods are available, systematic comparisons of their performance in simulation studies are rare. Interaction trees (IT), model‐based recursive partitioning, subgroup identification based on differential effect, simultaneous threshold interaction modeling algorithm (STIMA), and adaptive refinement by directed peeling were proposed for subgroup identification. We compared these methods in a simulation study using a structured approach. In order to identify a target population for subsequent trials, a selection of the identified subgroups is needed. Therefore, we propose a subgroup criterion leading to a target subgroup consisting of the identified subgroups with an estimated treatment difference no less than a pre‐specified threshold. In our simulation study, we evaluated these methods by considering measures for binary classification, like sensitivity and specificity. In settings with large effects or huge sample sizes, most methods perform well. For more realistic settings in drug development involving data from a single trial only, however, none of the methods seems suitable for selecting a target population. Using the subgroup criterion as alternative to the proposed pruning procedures, STIMA and IT can improve their performance in some settings. The methods and the subgroup criterion are illustrated by an application in amyotrophic lateral sclerosis.     

Testing for covariate balance using quantile regression and resampling methods

Consistency of propensity score matching estimators hinges on the propensity score's ability to balance the distributions of covariates in the pools of treated and non-treated units. Conventional balance tests merely check for differences in covariates’ means, but cannot account for differences in higher moments. For this reason, this paper proposes balance tests which test for differences in the entire distributions of continuous covariates based on quantile regression (to derive Kolmogorov–Smirnov and Cramer–von-Mises–Smirnov-type test statistics) and resampling methods (for inference). Simulations suggest that these methods are very powerful and capture imbalances related to higher moments when conventional balance tests fail to do so.     

Meaningful work at a distance: A case study in a hospital

Having a positive impact on other people's lives typically increases the likelihood of regarding one's work as meaningful. In some settings, however, employees have little or no contact to those who experience the impact of their work. Our paper examines how such distance affects these employees' construction of their work as meaningful. We present the findings of an in-depth case study of medical laboratory workers who do not typically interact with their patients. Drawing on interviews and observational data, we identify three sensemaking practices through which employees overcome the physical and perceived psychological distance to patients: assembling various pieces of information about the patient, sharing patient-related stories with colleagues, and relating themselves to patients and their medical problems. We also find that overcoming distance to patients can result in emotional stress, which is why some employees prefer staying at a ‘safe’ psychological distance. Our paper contributes to the meaningful work literature by examining how actors make work meaningful when they are physically distant from their object of work. We also contribute to a critical understanding of meaningful work by showing how efforts to render one's work more meaningful can intensify stress and emotional tension.     

The Use of Risk Assessment to Decide the Control Strategy for Bluetongue in Italian Ruminant Populations

The affiliation, assessment and management of risks is a traditional part of veterinary medicine. In the past, veterinary services involved in this type of activity usually assessed risks qualitatively. However, since the 1990s, quantitative methods have become increasingly important. The establishment of the World Trade Organization in 1994, and the promulgation of its Agreement on the Application of Sanitary and Phytosanitary Measures (the "SPS Agreement") led to an increased application of import risk analysis and to significant improvements in the methodology of risk analysis as applied to international trade policy for animals and animal products. However, there was very little development of risk analysis in veterinary fields other than international trade and management of health risks to consumers of animal products and little has been published on its use in the choice and definition of control or prophylaxis strategies for animal diseases. This article describes a quantitative risk assessment, which was undertaken in Italy to help choose an appropriate national response strategy following an incursion of bluetongue, an infectious disease of sheep and goats. The results obtained in this study support the use of risk analysis as a tool to assist in choosing an appropriate animal disease management strategy. The use of risk analysis in the evaluation of disease management strategies also offers advantages in international trade. It makes easier the comparison of different strategies applied in the various countries, and thus facilitates the assessment of equivalence of the guarantees provided by different strategies.     

Abusing victims: detention of child sexual abuse victims in secure accommodation

Sexually abused children and adolescents, in limbo between revelation of abuse and trial of an alleged offender, or in emotional turmoil after such abuse, need special care and support. Evidence indicates that a number of such children are held in local authority secure centres, on various grounds: to protect them from further sexual assaults by an adult offender; because of their persistent absconding from non-secure residential centres; and because of their disturbed behaviour (including suicidal behaviours), which may have been caused by the assault. Victims of sexual abuse are held with juveniles on remand for serious crimes (including rape and murder), or (because they are too young for youth detention centres) with young adolescents who are held in detention following conviction for such crimes. Evidence is produced from case histories, and from a survey of 15 of the 27 secure detention centres for children and young people in England, that the mix of abused, disturbed and very aggressive children is highly problematic. In worst case scenarios, victims of child sexual abuse are sexually assaulted by juvenile rapists with whom they are housed. © 1998 John Wiley & Sons, Ltd.     

Selection of a voice for a speech signal for personalized warnings: the effect of speaker's gender and voice pitch

There is an increasing interest in multimodal technology-based warnings, namely those conveying speech-warning statements. This type of warning may be tailored to the situation as well as to the target user's characteristics. However, more information is needed on how to design these warnings in a way that ensures intelligibility, promotes compliance and reduces the potential for annoyance. In this context, this paper reports an exploratory study whose main purpose was to assist the selection of a synthesized voice for a subsequent compliance study with personalized (i.e., using the person's name) technology-based warnings using Virtual Reality. Participants were requested to listen to speech signals, gathered from a speech synthesizer and post-processed in order to change the pitch perception, and then these were evaluated by fulfilling the MOS-X questionnaire. After that, the participants ranked the voices according to their preference. The effects of the speaker's gender and voice pitch, on both ratings and ranking were assessed. The preference of the male and female listeners for a talker's voice gender was also investigated. The results show that participants mostly prefer as first choice the high-pitched female voice, which also gathered the highest overall score in the MOS-X questionnaire. No significant influence of the participants' gender was found on the assessed measures.     

A program to support the construction and evaluation of resilience indicators

The main objective of this work is to propose a method and a tool to support the development of indicators able to inform an organization about the state of its resilience through a cyclical process of identifying its resilience factors, proposing resilience indicators, assessing its organizational resilience followed by assessing and improving the resilience indicators. The research uses concepts from complex adaptive systems and from resilience engineering to establish an initial set of indicators able to assess elements that contribute to organizational resilience, and structures them temporarily as a hierarchy. A software application to support indicator definition and structuring, questionnaire generation, and result assessment activities was built to assist in speeding up the experiment-adjust cycle. Prototype indicators were instantiated with helicopter operating companies in mind, and were reviewed by a domain expert.     

Stimulus-Stimulus Pairing of Vocalizations: A Systematic Replication

The current study replicated an enhanced stimulus-stimulus pairing (SSP) procedure used by Esch et al. (Journal of Applied Behavior Analysis 42: 42–225, 2009) for increasing vocalizations in children with autism. The enhanced SSP procedure consisted of pairing target vocalizations with high-preference items, interspersed target and nontarget trials, an observing response, and the presentation of the vocalizations in “motherese” speech. Results showed substantial increases in target vocalizations above baseline levels and above nontarget vocalizations for two of three participants.