Bunk Bed Injuries in College Students

Abstract

We surveyed 1,431 college seniors to investigate the frequency and severity of injury after falls from bed. This data was analyzed along with data obtained from both the Consumer Product Safety Commission and the armed forces. We found that falls from bed are common in young adults and that injuries are more likely to occur with falls from bunk or loft beds than from standard beds (p = 0.025). Falls were most common when students were climbing out of bed or were startled awake. Alcohol use was implicated in 36% of the falls. We recommend that the heights of nonstandard beds for students be lowered, that alarms and phones be placed within easy reach, and that sturdy, fixed devices be used to descend. Intoxicated individuals should be placed on standard beds or lower.     

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...     

Temperamental,Parental, and Contextual Contributors to Early‐emerging Internalizing Problems: A New Integrative Analysis Approach

This study evaluated a comprehensive model of factors associated with internalizing problems (IP) in early childhood, hypothesizing direct, mediated, and moderated pathways linking child temperamental inhibition, maternal overcontrol and rejection, and contextual stressors to IP. In a novel approach, three samples were integrated to form a large sample (N = 500) of Canadian children (2–6 years; M = 3.95 years; SD = .80). Items tapping into the same constructs across samples were used to create parallel measures of inhibited temperament, maternal positive, critical, and punitive parenting, maternal negative emotionality, family socioeconomic and structural stressors, and child's IP. Multiple‐groups structural equation modeling indicated that associations were invariant across samples and did not differ for boys and girls. Child inhibition, less positive and more critical parenting, maternal negative emotionality, and family socioeconomic disadvantage were found to have direct associations with IP. In addition, maternal negative emotionality was associated with IP through more critical parenting, and both maternal negative emotionality and socioeconomic stress were associated with IP through less positive parenting. Results highlight the multiple independent and cumulative risk factors for early IP and demonstrate the power of integrating data across developmental studies.     

Statistical modeling of selected aspects of the childbearing process with application to world fertility survey countries∗

The childbearing process should be monitored in developing countries experiencing high population growth rates and high levels of maternal and infant mortality. A mathematical model for estimation of certain aspects of the childbearing process, which requires only data on age‐specific fertility rates, is developed. Synthetic maternal childbearing indices, namely, mean ages at first and last birth, length of reproductive life span, inter‐birth spacing, and proportion of childless women, in addition to the well‐known mean age at childbearing, for the WFS countries are obtained using the proposed model. The indices are free from age truncation effects, and, under certain assumptions, provide information about a cohort's completed fertility before the women stop reproducing. The effects of women's residence and education on fertility are also examined.     

Social Well-Being in Northern Ireland: A Longitudinal Study 1958–1998

This paper examines the question of how social well-being, or quality of life, in Northern Ireland has changed through time from 1958 to 1998. After reviewing major economic trends and governmental policy affecting the region, we develop an overall measure of quality of life based on previous research into social well-being in Northern Ireland. We find that the ‘Troubles’ clearly impact the quality of life in Northern Ireland but not necessarily as broadly as one might suspect. The majority of the sixteen underlying indicators used for creating a measure of social well-being remain largely unaffected by the conflict and closely track increases in overall United Kingdom Gross Domestic Product. The remaining five measures of social well-being are significantly impacted by the conflict. The resulting measures of social well-being and some suggested uses for future research are then presented.     

Parental Divorce and College Students’ Persistence and Degree Attainment

The purpose of this study is to analyze whether college students from divorced families are more or less likely than their peers to persist and graduate in 4, 5, or 6 years. Utilizing data from the 2007 Cooperative Institutional Research Program survey of first-year students, the results of multinomial logistic regression analyses suggest that students whose parents were divorced were significantly less likely to graduate in 4, 5, or 6 years. These findings held controlling for demographic variables, precollege academic indicators, college experiences, and academic motivation.     

A Bayesian View of Nominal Money and Real Output Through a New Classical Macroeconomic Window

This study investigates the empirical evidence on the effects of unanticipated changes in nominal money on real output in 47 countries when viewed through a window (i.e., likelihood function) that assumes the neutrality of anticipated changes. Using a Bayesian predictivist approach, it provides a pedagogical Bayesian analysis of generated regressor models in the face of specification uncertainty involving, among other things, multiple unit roots and trend stationary alternatives.     

Estimation of river and stream temperature trends under haphazard sampling

Long-term temporal trends in water temperature in rivers and streams are typically estimated under the assumption of evenly-spaced space-time measurements. However, sampling times and dates associated with historical water temperature datasets and some sampling designs may be haphazard. As a result, trends in temperature may be confounded with trends in time or space of sampling which, in turn, may yield biased trend estimators and thus unreliable conclusions. We address this concern using multilevel (hierarchical) linear models, where time effects are allowed to vary randomly by day and date effects by year. We evaluate the proposed approach by Monte Carlo simulations with imbalance, sparse data and confounding by trend in time and date of sampling. Simulation results indicate unbiased trend estimators while results from a case study of temperature data from the Illinois River, USA conform to river thermal assumptions. We also propose a new nonparametric bootstrap inference on multilevel models that allows for a relatively flexible and distribution-free quantification of uncertainties. The proposed multilevel modeling approach may be elaborated to accommodate nonlinearities within days and years when sampling times or dates typically span temperature extremes.     

Likelihood estimation for exchangeable multinomial data

In this article, maximum likelihood estimates of an exchangeable multinomial distribution using a parametric form to model the parameters as functions of covariates are derived. The non linearity of the exchangeable multinomial distribution and the parametric model make direct application of Newton Rahpson and Fisher's scoring algorithms computationally infeasible. Instead parameter estimates are obtained as solutions to an iterative weighted least-squares algorithm. A completely monotonic parametric form is proposed for defining the marginal probabilities that results in a valid probability model.