“Drunkorexia”: Understanding eating and physical activity behaviors of weight conscious drinkers in a sample of college students

Objective: Behaviors of weight conscious drinkers (BWCD) include disordered eating, excessive physical activity (PA), and heavy episodic drinking. Considering that approximately 25% of the college students report BWCD, it is important to investigate what characteristics increase the likelihood of college students engaged in BWCD for both moderate and vigorous PAs. Participants: A total of 510 college students were recruited from a large, public southeastern university. Methods: Participants completed a cross-sectional survey during the spring 2015 semester. Results: Of 510 respondents, 11.2% reported moderate PA-based BWCD and 14.7% reported vigorous PA-based BWCD. Weight loss intention, BMI and Greek affiliation predicted both moderate and vigorous BWCD. Conclusions: Study findings suggest that Greek-affiliated students and students with weight loss intentions might be at an increased risk for BWCD. Along with promoting lower levels of alcohol consumption, college practitioners should consider discussing issues of weight and body image with college students as they relate to maladaptive drinking behavior.     

THE NEO-LIBERAL REVOLUTION

This essay discusses neo-liberalism as a hegemonic process, offering an interpretation of the past 40 years of British political developments.     

Effects of a single outlier on arma identification

Fox (1972), Box and Tiao (1975), and Abraham and Box (1979) have proposed methods for detecting outliers in time series whose ARMA form is known (or identified). We show that the existence of a single aberrant observation, innovation, or intervention causes an ARMA model to be misidentified using unadjusted autocorrelation (acf) and partial autocorrelation estimates. The magnitude, location, type of outlier, and in some cases the ARMA's parameters, affect the identification outcome. We use variance inflation, signal-to-noise ratios, and acf critical values to determine an ARMA model's susceptibility to misidentifi-cation. Numerical and simulation examples suggest how to iteratively use the outlier detection methods in practice.     

On the Streets,Under Arrest: Policing Homelessness in the 21st Century

Since the earliest days of the discipline, sociologists have viewed homelessness as a premier index of inequality and poverty more generally. Sociologists have increasingly turned to the regulation and policing of homelessness as a lens for analyzing how a given society understands and interacts with those who exist at the bottom of the social hierarchy. Against this intellectual backdrop, this article traces recent developments in the policing of homelessness, as well as the corresponding academic attempts to make sense of this empirical phenomenon. Doing so demonstrates that a vast majority of analyses have focused narrowly on the punitive and exclusionary functions of policing and, as a result, have tended to overlook issues surrounding differentiated functions, organizational dynamics, spatial contingencies, and questions of agency. This article complicates existing approaches and thereby lays the foundation for a more accurate and nuanced rendering of the policing of homelessness.     

Examining links between cocaine use and street-based sex work in New South Wales, Australia

We examined potential links between cocaine use and street-based sex work in New South Wales (NSW), Australia, following reports of increased cocaine use among injection drug users (IDU). Police data on prostitution and possession/use of cocaine was analysed using time series analysis. Interviews with key informants and IDU were also conducted, and data on cocaine use from ongoing monitoring systems targeted at IDU were analysed. There was a clear increase in cocaine use among IDU which occurred in 2001. This occurred at the same time as an increase in prostitution offenses. Qualitative data suggested that a greater number of primary heroin users were engaging in street-based sex work, which was driven in part by the increases in cocaine use among this group. Subsequent reductions in cocaine availability led to decreased cocaine use and possession offenses, along with reductions in prostitution offenses.     

Variance estimation in complex survey sampling for generalized linear models

Summary.  Complex survey sampling is often used to sample a fraction of a large finite population. In general, the survey is conducted so that each unit (e.g. subject) in the sample has a different probability of being selected into the sample. For generalizability of the sample to the population, both the design and the probability of being selected into the sample must be incorporated in the analysis. In this paper we focus on non-standard regression models for complex survey data. In our motivating example, which is based on data from the Medical Expenditure Panel Survey, the outcome variable is the subject's 'total health care expenditures in the year 2002'. Previous analyses of medical cost data suggest that the variance is approximately equal to the mean raised to the power of 1.5, which is a non-standard variance function. Currently, the regression parameters for this model cannot be easily estimated in standard statistical software packages. We propose a simple two-step method to obtain consistent regression parameter and variance estimates; the method proposed can be implemented within any standard sample survey package. The approach is applicable to complex sample surveys with any number of stages.