Relationships between use of dietary supplements,caffeine and sensation seeking among college students

Abstract

Objective: Caffeine and dietary supplement (DS) use by college students is not well-documented. Given reported associations between energy drink consumption and sensation seeking, we used the Sensation Seeking Scale Form V (SSS-V) to assess relationships between sensation-seeking, caffeine, and DS use. Participants: Data from 1,248 college students from five US institutions were collected from 2009 to 2011. Methods: Linear regression was used to examine relationships between scores on the SSS-V and caffeine and DS use, demographic, and lifestyle characteristics. Results: Male sex, nonHispanic race-ethnicity, higher family income, tobacco use, consuming caffeinated beverages, more than 400?mg caffeine per day, and energy drinks with alcohol at least 50% of the time, were significantly associated with higher total SSS-V scores (P?<?0.001). Those using protein DSs had higher total, disinhibition, and boredom susceptibility SSS-V scores (Ps?<?0.001). Conclusions: Results demonstrate a positive correlation between sensation-seeking attitudes and habitual caffeine, energy drink, and DS consumption.     

Culpability Attributions towards Juvenile Female Prostitutes

This study addresses a gap in the research literature concerning predictors of culpability attributions towards juvenile female prostitutes (JFPs). Three hundred undergraduate participants read a vignette describing a JFP and responded to a series of measures. Results supported a causal pathway whereby stronger perceiver sexism predicted stronger negative affective evaluations of, and weaker empathic reactions toward, the JFP. Stronger negative affective evaluations and weaker empathic reactions, in turn, predicted stronger culpability attributions toward the JFP. Also, participants who were provided information about the JFP's extensive victimisation history and coercion into the trade, relative to participants who were not provided this information, attributed lesser culpability to the JFP. Finally, stronger culpability attributions toward the JFP related to weaker recommendations of restorative justice (i.e. counselling/mental health services for the JFP) and stronger recommendations of retributive justice (i.e. incarceration for the JFP). Study implications, limitations, and directions for future research are discussed. Copyright © 2013 John Wiley & Sons, Ltd.

Key Practitioner Message

• Stronger perceiver sexism predicts stronger negative evaluations of, and weaker empathic reactions towards a juvenile female “prostitute.”
• Stronger negative evaluations of, and weaker empathic reactions towards a girl in the sex trade in turn predict stronger culpability attributions towards her.
• Provision of information about a prostituted youth's victimisation history and coercion into prostitution mitigates culpability attributions toward her.
• Public education that highlights juvenile prostitution as a form of child sexual exploitation may be critically important to minimising punitive social cognitions about survivors of the commercial sex trade.

     

Time-varying coefficients in a multivariate frailty model: Application to breast cancer recurrences of several types and death

During their follow-up, patients with cancer can experience several types of recurrent events and can also die. Over the last decades, several joint models have been proposed to deal with recurrent events with dependent terminal event. Most of them require the proportional hazard assumption. In the case of long follow-up, this assumption could be violated. We propose a joint frailty model for two types of recurrent events and a dependent terminal event to account for potential dependencies between events with potentially time-varying coefficients. For that, regression splines are used to model the time-varying coefficients. Baseline hazard functions (BHF) are estimated with piecewise constant functions or with cubic M-Splines functions. The maximum likelihood estimation method provides parameter estimates. Likelihood ratio tests are performed to test the time dependency and the statistical association of the covariates. This model was driven by breast cancer data where the maximum follow-up was close to 20 years.     

Gaussian Markov random field spatial models in GAMLSS

This paper describes the modelling and fitting of Gaussian Markov random field spatial components within a Generalized AdditiveModel for Location, Scale and Shape (GAMLSS) model. This allows modelling of any or all the parameters of the distribution for the response variable using explanatory variables and spatial effects. The response variable distribution is allowed to be a non-exponential family distribution. A new package developed in R to achieve this is presented. We use Gaussian Markov random fields to model the spatial effect in Munich rent data and explore some features and characteristics of the data. The potential of using spatial analysis within GAMLSS is discussed. We argue that the flexibility of parametric distributions, ability to model all the parameters of the distribution and diagnostic tools of GAMLSS provide an ideal environment for modelling spatial features of data.     

Gender differences in the marriage and cohabitation income premium*

Using data from the 1979 National Longitudinal Survey of Youth, I identify causal effects of marriage and cohabitation on total family income. My goals are to compare men's and women's changes in financial status upon entering unions and to assess the relative contributions of adjustments in own income, income pooling, and changes in family size. Changes in own income that are due to intrahousehold specialization prove to be minor for both men and women relative to the effects of adding another adult's income to the family total. Women gain roughly 55% in needs-adjusted, total family income, regardless of whether they cohabit or marry, whereas men's needs-adjusted income levels remain unchanged when men make these same transitions.     

Using portable computers in home visits: Effects on programs, data quality, home visitors and caregivers

Collecting and using high-quality data related to participant outcomes are critical for monitoring program quality in home visitation programs for child abuse and neglect prevention, as well as for efforts to improve effectiveness and use limited funds efficiently. An evaluation was conducted to determine the impact of using portable computers to record data from standardized screening tools during home visits. Six home visiting agencies participating in the Early Years Home Visitation Outcomes Project of Wisconsin implemented computerized screenings with wireless uploading of data to a state public health database. Using portable computers saved agencies time and money on all four screening tools tested, with significant cost savings (p < 0.05) on three of the four tools, as compared to paper-and-pencil administration of screenings and manual data entry. The average time used per screening dropped between 9 and 63 min, saving agencies between $2 and $14 per screening administration. Screening completion was also higher when portable computers were used for data capture. There was little effect on home visitors' perceptions of the ease of data collection or their interactions with families being served. The use of portable computers to collect standard screening data holds promise for the field of home visitation.