Antibiotic Resistance in Urinary Tract Infections in College Students

Abstract

Objective: To determine resistance to antibiotics of Escherichia coli in uncomplicated urinary tract infections (uUTIs) in female college students. Participants: Symptomatic patients presenting to a student health service from September 2008 to December 2009. Methods: Clean catch midstream urine samples were tested for urinalysis (UA) and culture and sensitivity. Results: Of 168 students enrolled in the study, 138 had positive UA, and 94 of these grew >100,000 colonies/mL of E. coli. Ampicillin resistance was 31.9%, trimethoprim-sulfamethoxazole (TMP-SMX) resistance 16.0%, ciprofloxacin resistance 4.3%, amoxicillin/clavulanate resistance 3.2%, and nitrofurantoin resistance 1.1%. The sensitivity of UA was 95.4% and the positive predictive value was 87.0% (p ≤ .001). Specificity was 77.5% and negative predictive value 92.9%. Conclusions: In healthy college women with uUTI symptoms, TMP-SMX should not be universally used for empirical therapy, whereas use of ciprofloxacin, amoxicillin/clavulanate, and nitrofurantoin are appropriate.     

Family structure, time constraints, and sport participation

Recent research emphasizes the importance of economic factors on sport participation. We extend this by examining the role played by time constraints and family structure in survey data from Rheinberg, Germany. Based on empirical models that account for the two-part decision—the decision to participate and the decision about how long to participate—involved, we find that time constraints in the form of time spent caring for children and relatives and family structure in the form of the presence of children reduce both the likelihood that individuals participate and the time spent taking part in sports.     

Estimates of air pollution mitigation with green plants and green roofs using the UFORE model

The purpose of this study was to investigate the effect of green roofs and green walls on air pollution in urban Toronto. The research looked at the synergistic effects on air pollution mitigation of different combinations of vegetation by manipulating quantities of trees, shrubs, green roofs and green walls in the study area. The effects of these manipulations were simulated with the Urban Forest Effects (UFORE) model developed by the USDA Forest Service Northeastern Regional Station. While UFORE contains several modules, Module—D quantifies the levels of air pollution for contaminants such as NO₂, S0₂, CO, PM₁₀ and ozone as well as hourly pollution removal rates and the economic value of pollutant removal. Six vegetation scenarios were developed within the Toronto study area to compare different subsets of vegetation and their effect on air contaminants. Results of the study indicate that grass on roofs (extensive green roofs) could augment the effect of trees and shrubs in air pollution mitigation, placing shrubs on a roof (intensive green roofs) would have a more significant impact. By extension, a 10–20% increase in the surface area for green roofs on downtown buildings would contribute significantly to the social, financial and environmental health of all citizens.

Religion and Public Opinion about Same‐Sex Marriage*

Objective. The goal of this article is to analyze the relationship between religion, measured in terms of religious affiliation and religiosity, and public opinion about same‐sex marriage, civil unions, and a federal constitutional amendment that would prohibit gay marriage. Methods. We use logistic regression with calculated standardized coefficients to analyze data from a nationally representative survey of 1,610 respondents conducted in March–April 2004. Results. Religious variables perform better than demographic measures in models of attitudes about same‐sex unions. Non‐Protestants are much more likely to support same‐sex unions than are Protestants, and individuals with conservative attitudes toward morality and secularism and (to a lesser extent) those who participate actively in religious life are more likely to oppose such unions. On the whole, religious variables play a weaker role in predicting support for a constitutional amendment to prevent gay marriage than they do in predicting attitudes toward same‐sex unions. Conclusions. Religious variables play powerful roles in structuring attitudes about same‐sex unions. Moreover, homosexuality appears to be a major component of the “moral values” discourse that is currently so popular in American politics.     

When it is better to give than to receive: Children's giving and happiness

Humans experience emotional benefits from engaging in prosocial behavior. The current work investigates factors that influence the experience of happiness from giving to others in early childhood. In three studies with 5-year-olds (N = 144), we find that young children are happier from giving resources to others than from receiving resources for themselves (Study 1) and investigate when children are most happy from giving. In Study 2, children were happier when they could see the beneficiary's positive reaction, suggesting that empathizing with the beneficiary's positive emotion contributes to happiness (consistent with the concept of vicarious-joy). In Study 3, children were happier after they gave resources than when they watched someone else give resources, indicating that being responsible for prosocial action contributes to children's happiness (consistent with the concept of warm-glow). These results provide a critical step toward understanding when children experience happiness from giving and a foundation for investigating happiness as a mechanism supporting early prosociality.     

Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts

High levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, but the exact nature of the dose-response relationship is less well understood. To investigate this relationship, data were assembled from six longitudinal birth cohort studies examining the effects of PAE on cognitive outcomes from early school age through adolescence. Structural equation models (SEMs) are a natural approach to consider, because of the way they conceptualise multiple observed outcomes as relating to an underlying latent variable of interest, which can then be modelled as a function of exposure and other predictors of interest. However, conventional SEMs could not be fitted in this context because slightly different outcome measures were used in the six studies. In this paper we propose a multi-group Bayesian SEM that maps the unobserved cognition variable to a broad range of observed outcomes. The relation between these variables and PAE is then examined while controlling for potential confounders via propensity score adjustment. By examining different possible dose-response functions, the proposed framework is used to investigate whether there is a threshold PAE level that results in minimal cognitive deficit.