The Culture of High-Risk Alcohol Use Among Club and Intramural Athletes

Abstract

Objective: The purpose of this study was to examine the drinking patterns of club and intramural college athletes and compare their alcohol consumption, perceived norms around the excessive use of alcohol, experience of negative consequences, and employment of protective strategies with those of campus varsity athletes. Participants: A total of 442 undergraduate students attending a private, suburban institution in the Northeast participated in the American College Health Association National College Health Assessment-II Web survey in spring 2011. Thirty-five students identified themselves as varsity athletes, 76 identified as club sport athletes, and 196 students identified themselves as intramural athletes. Methods: Survey responses were analyzed using Statistical Package for the Social Sciences. The Pearson's correlation coefficient and test for independence were applied to identify significant relationships between athlete status and identified variables related to alcohol use. Results: Results indicated that there were significant correlations between athlete status and all variables, to varying degrees. Conclusions: These findings have implications for campus health promotion professionals and athletics program coordinators seeking to address high-risk alcohol use among college athletes.     

The Eating Disorders NOS Diagnostic Profile Among College Women

Abstract

The authors examined a proposed profile of eating-related behaviors, associated features, developmental issues, and help-seeking behavior among college women, using an eating disorder response program. The most common symptom scenario was a pattern of regular binge eating, together with daily exercise and occasional purging. The most common associated features were distressing or dysfunctional overconcern about body image and self-esteem, usually with day-to-day stress and intermittent depression. The women who fit this pattern also presented developmental issues of perfectionism, conflictual relationships with parents, and struggles for independence; and they tended to be ambivalent about seeking services. Implications for practice, including the need to develop a framework for eating disorder responses on campus that includes preventive programs and developmental interventions to target emerging and moderate concerns are discussed; limitations and the preliminary nature of the findings are explicated.     

In-Sample Inference and Forecasting in Misspecified Factor Models

This article considers in-sample prediction and out-of-sample forecasting in regressions with many exogenous predictors. We consider four dimension-reduction devices: principal components, ridge, Landweber Fridman, and partial least squares. We derive rates of convergence for two representative models: an ill-posed model and an approximate factor model. The theory is developed for a large cross-section and a large time-series. As all these methods depend on a tuning parameter to be selected, we also propose data-driven selection methods based on cross-validation and establish their optimality. Monte Carlo simulations and an empirical application to forecasting inflation and output growth in the U.S. show that data-reduction methods outperform conventional methods in several relevant settings, and might effectively guard against instabilities in predictors’ forecasting ability.     

Modelling Wage Growth Dynamics in Italy, 1960-90

ABSTRACT: In this work we analyse the common dynamic properties of wage inflation, price inflation, unemployment and labour productivity using Italian annual data (1960-90, source: Prometeia). Applying multivariate cointegration technique we test for the presence of a wage equation and a price mark-up equation. The preferred identification suggests that it is possible to build up an error correction representation for the wage inflation, in which the rate of acceleration in wages depends on the contemporaneous rate of acceleration in prices and on the adjustment to long-run disequilibrium as represented by a Phillips type relation. This representation is rejected for the price inflation which turns out to be weakly exogenous within the system. Furthermore, there is evidence that wage inflation does not Granger-cause price inflation. The overall conclusion is that wage inflation does not contribute in explaining the price inflation process and the traditional mark-up view of inflation is not supported by data. The policy implication is that monetary policy need not respond to wage data because they do not contain additional information about the future path of inflation.     

Migration and fuel use in rural Zambia

Population and Environment - What is the effect of migration on fuel use in rural Zambia? Opportunities to increase income can be scarce in this setting; in response, households may pursue a...     

Determinants of the heavily right-tailed residential housing price in Tianjin

The housing price in Tianjin, one of the typical monocentric cities of China, exhibits a heavily right-tailed distribution even after the logarithm transformation of the price, which might lead to a biased estimation of the parameters under normal distribution assumption. Therefore, the extended Cox proportional hazards regression model and the generalized concept of relative risk are used to identify factors associated with the housing price. The analysis shows that the implementation dates of the macro regulation policies were related to the price changing trends. Qualities of public elementary and secondary schools were significantly associated with the housing price, and the associations between the structure and neighborhood characteristics and the housing price were influenced by the distance of the residential property to downtown Tianjin.KEYWORDS: Cox proportional hazards model, cumulative opportunity method, housing price, restricted cubic splines, relative risk     

The Mediating Effect of Resilience Between Social Support for Exercise and Resident Satisfaction in Assisted Living

This study examined whether residents' level of resilience mediated the relationship between social support for exercise from staff and resident satisfaction in assisted living. This was a secondary data analysis using baseline data from a function-focused care intervention study including 171 residents from four assisted living facilities. Using structural equation modeling, we found that mood and social support for exercise from staff were the only variables associated with resilience. Mood, gender, cognition, and social support for exercise from staff directly influenced resident satisfaction and explained 31% of the variance in the model. Implications for future research and practice are discussed.