Student Drinking-Related Problems in an Urban Campus: Implications for Research and Prevention

Abstract

Objective: Researchers who study the etiology of college drinking typically employ measures of alcohol-use behaviors as outcomes; however, relatively little is known about the properties of alcohol-related problems (AP). This study aims to develop a single continuous measure of AP. Participants: The sample included 531 undergraduate college students who were surveyed in March 2007. Methods: The Rasch model was employed for dichotomous variables to analyze the measurement properties of 17 AP items. Results: Although issues with respect to differentiation at low levels of problem severity were identified, based on most strategies, the Rasch-based scale was shown to be a valid and reliable measure of AP among college students. Conclusions: Although there may be some need for slight modification and adjustment in the future, the AP scale developed here can potentially serve as a useful measure for etiological and prevention research.     

Gender role perspectives and job burnout

Review of Economics of the Household - Women are more likely than men to report physical and emotional exhaustion related to paid work. While this gender gap in job burnout is common in the...     

A shift parameter estimation based on smoothed Kolmogorov–Smirnov

A new procedure of shift parameter estimation in the two-sample location problem is investigated and compared with existing estimators. The proposed procedure smooths the empirical distribution functions of each random sample and replaces empirical distribution functions in the two-sample Kolmogorov–Smirnov method. The smoothed Kolmogorov–Smirnov is minimized with respect to an arbitrary shift variable in order to find an estimate of the shift parameter. The proposed procedure can be considered the smoothed version of a very little known method of shift parameter estimation from Rao-Schuster-Littell (RSL) [Rao et al., Estimation of shift and center of symmetry based on Kolmogorov–Smirnov statistics, Ann. Stat. 3(4) (1975), pp. 862–873]. Their estimator will be discussed and compared with the proposed estimator in this paper. An example and simulation studies have been performed to compare the proposed procedure with existing shift parameter estimators such as Hodges–Lehmann (H–L) and least squares in addition to RSL's estimator. The results show that the proposed estimator has lower mean-squared error as well as higher relative efficiency against RSL's estimator under normal or contaminated normal model assumptions. Moreover, the proposed estimator performs competitively against H–L and least-squares shift estimators. Smoother function and bandwidth selections are also discussed and several alternatives are proposed in the study.     

Construction of a semi-Markov model for the performance of a football team in the presence of missing data

Using play-by-play data from the very beginning of the professional football league in Turkey, a semi-Markov model is presented for describing the performance of football teams. The official match results of the selected teams during 55 football seasons are used and winning, drawing and losing are considered as Markov states. The semi-Markov model is constructed with transition rates inferred from the official match results. The duration between the last match of a season and the very first match of the following season is much longer than any other duration during the season. Therefore these values are considered as missing values and estimated by using expectation–maximization algorithm. The effect of the sojourn time in a state to the performance of a team is discussed as well as mean sojourn times after losing/winning are estimated. The limiting probabilities of winning, drawing and losing are calculated. Some insights about the performance of the selected teams are presented.     

Point‐of‐Dispensing Location and Capacity Optimization via a Decision Support System

Dispensing of mass prophylaxis can be critical to public health during emergency situations and involves complex decisions that must be made in a short period of time. This study presents a model and solution approach for optimizing point‐of‐dispensing (POD) location and capacity decisions. This approach is part of a decision support system designed to help officials prepare for and respond to public health emergencies. The model selects PODs from a candidate set and suggests how to staff each POD so that average travel and waiting times are minimized. A genetic algorithm (GA) quickly solves the problem based on travel and queuing approximations (QAs) and it has the ability to relax soft constraints when the dispensing goals cannot be met. We show that the proposed approach returns solutions comparable with other systems and it is able to evaluate alternative courses of action when the resources are not sufficient to meet the performance targets.     

Priority class scheduling: Production scheduling for multi-objective environments

A new scheduling framework (priority class scheduling) is devised which reduces the conflict in the manufacturingmarketing interface. Priority class scheduling rewards manufacturing for making small improvements in efficiency, involves marketing in the setting of production priorities, improves customer service by putting in place realistic production timetables, allows manufacturing to concentrate on improving both quality and efficiency, and improves both the communication and cooperation between the shop floor, the production scheduler, marketing, and customer service. Within a production period, all jobs are classified into priority classes based on both their due dates and importance. Production is scheduled within each production period to maximize throughput subject to the priority class constraints- if any job in priority class i is started in the production period, then all jobs in priority class i - 1 must be completed within the production periods.     

Androgen deficiency in the adult male

Introduction. The purpose of this study was to investigate the association between severity of lower urinary tract symptoms (LUTS), erectile dysfunction (ED) and metabolic syndrome.

Methods. Our study population included a consecutive series of 190 patients with LUTS (International Prostate Symptom Score-IPSS >7) with or without manifestations of the metabolic syndrome. The diagnoses of diabetes mellitus and hypertension were obtained from the patient's medical history. Data on blood pressure, waist measure, body height and weight were collected and body mass index were calculated. Patients were assessed based on the International Index of Erectile Function (IIEF) for ED and IPSS and IPSS-Quality of Life for LUTS. Blood samples were drawn from fasting patients to determine, fasting blood glucose (FBG), triglycerides, HDL-cholesterol and serum total testosterone levels.

Results. In severe LUTS patient group, IIEF erectile function domain scores were significantly lower than moderate LUTS patient group (p < 0.05). Multiple logistic regression analysis confirmed that presence of ED was the most predictor of severe LUTS. The prevalence of metabolic syndrome was higher in patients with severe LUTS (26%vs. 46%, p = 0.009). The severe form of the LUTS was significantly correlated with waist circumference >102 cm (p < 0.05), blood pressure ≥130/85 mmHg (p < 0.05) and FBG >110 mg/dl (p < 0.01).

Conclusion. Obesity, high plasma level of FBG and hypertension constitute risk factors for the development of severe LUTS. Metabolic syndrome may play a key role in the pathogenesis in both ED and LUTS. Presence of ED is the most predictor of severe LUTS.     

Methods for Detecting and Estimating Population Threshold Concentrations for Air Pollution–Related Mortality with Exposure Measurement Error

The association between daily fluctuations in ambient particulate matter and daily variations in nonaccidental mortality have been extensively investigated. Although it is now widely recognized that such an association exists, the form of the concentration–response model is still in question. Linear, no threshold and linear threshold models have been most commonly examined. In this paper we considered methods to detect and estimate threshold concentrations using time series data of daily mortality rates and air pollution concentrations. Because exposure is measured with error, we also considered the influence of measurement error in distinguishing between these two completing model specifications. The methods were illustrated on a 15-year daily time series of nonaccidental mortality and particulate air pollution data in Toronto, Canada. Nonparametric smoothed representations of the association between mortality and air pollution were adequate to graphically distinguish between these two forms. Weighted nonlinear regression methods for relative risk models were adequate to give nearly unbiased estimates of threshold concentrations even under conditions of extreme exposure measurement error. The uncertainty in the threshold estimates increased with the degree of exposure error. Regression models incorporating threshold concentrations could be clearly distinguished from linear relative risk models in the presence of exposure measurement error. The assumption of a linear model given that a threshold model was the correct form usually resulted in overestimates in the number of averted premature deaths, except for low threshold concentrations and large measurement error.     

Parenting and children’s prosocial and problem behaviors in middle childhood: The role of Turkish mothers’ emotion socialization practices

Mechanisms by which the relations between different parenting behaviors and children’s prosocial and problem behaviors occur are the focus of the current study. Supportive and nonsupportive emotion socialization practices of mothers were considered as potential mediators. Further, the moderator role of gender was explored. Participants were 228 mothers of 6‐ to 11‐year‐old children living in Ankara, Turkey. Scales assessing parenting behaviors (specifically, positive parenting and inconsistent discipline), maternal reactions to children’s negative emotions, and prosocial and problem behaviors of children were completed by the mothers. The results revealed that supportive emotion socialization practices fully mediated the relation between positive parenting behaviors and both boys’ and girls’ prosocial behaviors. In contrast, nonsupportive emotion socialization practices partially mediated the relation between inconsistent parenting behaviors and problem behaviors, but only for girls. Findings indicated that girls were more vulnerable to their mothers’ inconsistent behaviors possibly because mother–daughter dyads are more likely to use emotion‐related language and to discuss emotions than mother–son dyads from a very early age.