Appropriate Terminology for the Alcohol,Eating, and Physical Activity Relationship

Abstract

“Drunkorexia” merges prior literature identifying positive relationships between (a) alcohol use/abuse and disordered eating/eating disorders, (b) alcohol use/abuse and physical activity, and (c) disordered eating/eating disorders and physical activity. The term, highlighting an individual's proactive and/or reactive weight management behaviors (ie, disordered eating, physical activity) in relation to alcohol consumption, originated in news editorials and has recently gained recognition via use in scholarly publications. The purpose of this commentary is to recommend discontinuing use of the term “drunkorexia” due to (a) inconsistent definitions of drunkorexia across investigations, (b) drunkorexia being a misnomer, and (c) the medical community's lack of recognition/acceptance of drunkorexia. Because the behaviors encompassed by drunkorexia are of concern to researchers and health professionals, future investigations are still warranted. However, until a medically recognized term/phrase is accepted, scholars should utilize more appropriate characterizations such as “weight-conscious drinkers,” “weight management behaviors of drinkers,” or “Eating Disorders Not Otherwise Specified” (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision).     

Impact of the Adoption of Tobacco-Free Campus Policies on Student Enrollment at Colleges and Universities,North Carolina, 2001–2010

Abstract

Objective: College and university administrators have expressed concern that adoption of tobacco-free policies may reduce applications and enrollment. This study examines adoption and implementation of 100% tobacco-free campus policies by institutions of higher education on applications and enrollment. Participants: North Carolina private colleges and universities and public community colleges. Analysis was conducted in 2011. Methods: Student enrollment and application data were analyzed by campus type to determine (a) if there was a difference in student applications and enrollment before and after policy implementation, and (b) if there was a difference in student applications and enrollment for campuses with versus without a policy. Results: No significant differences were found in student enrollment or applications when comparing years prior to and following policy implementation or when comparing with institutions without 100% tobacco-free campus policies. Conclusions: The authors found no evidence that 100% tobacco-free policy adoption had an impact on student enrollment or applications.     

Pessimism and optimism towards new discoveries

Theory and Decision - In this paper, we provide an axiomatic foundation of pessimism and optimism towards ambiguity that emerges due to growing awareness. In our setup, this corresponds to a...     

Floral abundance and richness drive beneficial arthropod conservation and biological control on golf courses

Urban Ecosystems - Golf courses are among the largest, most ubiquitous highly maintained urban green spaces in the U.S. Although their primary function is recreation, a large portion of golf course...     

GETTING INTO THE WEEDS: DOES LEGAL MARIJUANA ACCESS BLUNT ACADEMIC PERFORMANCE IN COLLEGE?

This paper examines the effect of legal access to marijuana on student performance stemming from a voter-approved initiative legalizing marijuana for those 21 and older in the State of Washington. Using panel data from a medium-sized public university, we use a within-student and within-class estimator to show that legalization reduces students' grades, with an effect size about one-half the impact of gaining legal access to alcohol. Consistent with how marijuana consumption affects cognitive functioning, we find that students' grades fall furthest in courses that require more quantitative skills. These effects are largely driven by men and low performers. (JEL I23, I18, K32)     

Social Network Analysis for Analyzing Groups as Complex Systems

ABSTRACT

The introduction and application of social network analysis, a method seen as superior to experimental or single-system research design for showing group change, examined group dynamics and change over time using a hypothetical example of an Internet group for gays and lesbians. Rather than utilizing traditional definitions of independent and dependent variables, the analysis utilized hypothetical data with nodes or individuals, ties, and the relationships they formed. The recently developed computer program NodeXL provided diagrams and statistics that demonstrated node and tie variation and individual and group development over time. Discussion demonstrated the utility of such diagrams for research and practice.     

When Is It Okay to Exclude a Member of the Ingroup? Children's and Adolescents’ Social Reasoning

Social exclusion of those who challenge group norms was investigated by asking children and adolescents, adolescents, age 9–13 years (N = 381), to evaluate exclusion of group members who deviated from group norms. Testing predictions from social reasoning developmental theories of group‐based exclusion, children and adolescents evaluated exclusion based on group norms involving allocation of resources and group traditions about dress code. Exclusion of deviant members was viewed as increasingly wrong with age, but also varied by the type of norm the deviant challenged. Participants who reported disliking a deviant member who wanted to distribute money unequally also found it acceptable to exclude them. Those who disliked deviants who went against norms about dress codes did not think exclusion was warranted. These findings are discussed in the context of children's social‐cognitive development regarding peer rejection as well as the role played by moral judgment and group dynamics.