The Relationship Between Distance from Gambling Venues and Gambling Participation and Problem Gambling Among U.S. Adults

In this article we examine the relationship between extent of gambling for U.S. adults and the distance from their residence to the nearest casino or track. We employ data from a telephone survey of U.S. adults conducted in 2011–2013. The chances that the respondents gambled in the past year, were frequent gamblers, or were problem gamblers were greater if they lived close to a casino. The chances that the respondents gambled in the past year or were frequent gamblers were greater if they lived close to a horse or dog track. The effects of closeness to a casino on the likelihood of past-year gambling, frequent gambling, and problem gambling, as well as the effect of closeness to a track on past-year gambling, extended to about 30 miles from the respondent’s home. In addition, the concentration of casinos within 30 miles of the respondent’s home was positively related to the respondents’ chance of being a frequent or problem gambler. If a respondent had no casinos within 30 miles, he or she had a 2.7 % chance of being a problem gambler; if one casino, a 3.9 % chance; if six or more, a 6.2 % chance. The authors estimate that at least part of this effect is causal.     

Is “Walkability” A Useful Concept for Gerontology?

The study tested two hypotheses: that in a walkable neighborhood, residents will exercise more, eat healthier, and suffer from less obesity and that relation between environment and health outcomes will be stronger for the elderly. Health was measured by physical activity, the number of portions of fruits and vegetables eaten daily, and body mass index. Walkability was measured by three distinct environmental factors—distress, amenities, and residential. The three health outcomes were related to the three environmental factors. Age was not a significant predictor of health outcomes. Although the environment does contribute to health outcomes, the ways that contribution is expressed and its relation to age is complex.     

Effects of Parental Monitoring and Peer Deviance on Substance Use and Delinquency

From socialization theory, it was hypothesized that parental support and monitoring as well as peer deviance would influence individual trajectories of alcohol misuse, other substance use, and delinquency. Six waves of data were analyzed using interviews with 506 adolescents in a general population sample. Results from multilevel modeling showed that monitoring significantly predicted adolescents’ initial levels (intercepts) of alcohol misuse and delinquency. Parental monitoring strongly predicted the rates of increase (slope) in all 3 problem behaviors. Peer deviance significantly predicted initial levels of all problem behaviors and the rates of increase in them. This study provides evidence that both effective parenting and avoidance of associations with delinquent peers are important factors in preventing adolescent problem behaviors.     

Nonlinear mixed effects modelling for estimation of steady state attainment

Assessment of the time needed to attain steady state is a key pharmacokinetic objective during drug development. Traditional approaches for assessing steady state include ANOVA‐based methods for comparing mean plasma concentration values from each sampling day, with either a difference or equivalence test. However, hypothesis‐testing approaches are ill suited for assessment of steady state. This paper presents a nonlinear mixed effects modelling approach for estimation of steady state attainment, based on fitting a simple nonlinear mixed model to observed trough plasma concentrations. The simple nonlinear mixed model is developed and proposed for use under certain pharmacokinetic assumptions. The nonlinear mixed modelling estimation approach is described and illustrated by application to trough data from a multiple dose trial in healthy subjects. The performance of the nonlinear mixed modelling approach is compared to ANOVA‐based approaches by means of simulation techniques. Copyright © 2005 John Wiley & Sons, Ltd.