Relations Between Media,Perceived Social Support and Personal Well-Being in Adolescence

This paper’s main objective is to show relations between interest in media, perceived social support and adolescents’ personal well-being. For this purpose, 1,589 Brazilian adolescents answered a questionnaire containing Cummins’ Personal Well-Being, Vaux’s Social Support Appraisals and Casas’ interest in media scales. The media in study are: The Internet, computer games, video games, computer, cell phone and television. For the data analysis this research used Structural Equation Modeling, a statistical methodology based on the confirmation of hypotheses previously established by theoretical frameworks on data. A final model of relations between media, support and well-being was obtained with a fit considered satisfactory by the literature. Implications of media on adolescents’ well-being based on this model are considered.     

Happiness and Childbearing Across Europe

Using happiness as a well-being measure and comparative data from the European social survey we focus in this paper on the link between happiness and childbearing across European countries. The analysis motivates from the recent lows in fertility in many European countries and that economic wellbeing measures are problematic when considering childbearing. We find significant country differences, though the direct association between happiness and childbearing is modest. However, partnership status plays an important role for both men and women. Working fathers are always happier, whereas working mothers are not, though mothers?? happiness tends to increase with household income.     

Likelihood-based risk estimation for variance-gamma models

Although the variance-gamma distribution is a flexible model for log-returns of financial assets, so far it has found rather limited applications in finance and risk management. One of the reasons is that maximum likelihood estimation of its parameters is not straightforward. We develop an EM-type algorithm based on Nitithumbundit and Chan (An ECM algorithm for skewed multivariate variance gamma distribution in normal mean–variance representation, arXiv:1504.01239, 2015) that bypasses the evaluation of the full likelihood, which may be difficult because the density is not in closed form and is unbounded for small values of the shape parameter. Moreover, we study the relative efficiency of our approach with respect to the maximum likelihood estimation procedures implemented in the VarianceGamma and ghyp R packages. Extensive simulation experiments and real-data analyses suggest that the multicycle ECM algorithm gives the best results in terms of root-mean-squared-error, for both parameter and value-at-risk estimation. The performance of the routines in the ghyp R package is similar but not as good, whereas the VarianceGamma package produces worse results, especially when the shape parameter is small.     

Bayesian joint modelling of benefit and risk in drug development

To gain regulatory approval, a new medicine must demonstrate that its benefits outweigh any potential risks, ie, that the benefit‐risk balance is favourable towards the new medicine. For transparency and clarity of the decision, a structured and consistent approach to benefit‐risk assessment that quantifies uncertainties and accounts for underlying dependencies is desirable. This paper proposes two approaches to benefit‐risk evaluation, both based on the idea of joint modelling of mixed outcomes that are potentially dependent at the subject level. Using Bayesian inference, the two approaches offer interpretability and efficiency to enhance qualitative frameworks. Simulation studies show that accounting for correlation leads to a more accurate assessment of the strength of evidence to support benefit‐risk profiles of interest. Several graphical approaches are proposed that can be used to communicate the benefit‐risk balance to project teams. Finally, the two approaches are illustrated in a case study using real clinical trial data.     

Welfare participation and welfare dependence among the unemployed

We regard individual unemployment duration as an important determinant of individuals welfare dependence. Welfare receipt is modelled for a unique data set of 4,655 Finnish unemployed individuals. A two-stage binomial hurdle model is applied, and estimations are made by both ML and GMM. Disregarding the full interrelation between unemployment and welfare clearly underestimates the importance of the former. Unemployment has a clear impact on both the probability of welfare participation and on welfare dependence among recipients. Using a finite mixture model we find that there is a small minority of unemployed welfare recipients who are locked-in in welfare dependence.All correspondence to Maria Melkersson. We thank participants at the ESPE 2001 conference, João Santos Silva and two anonymous referees for valuable comments. Financial support from Rektor för Åbo Akademi is gratefully acknowledged (Saarela). Responsible editor: Junsen Zhang.     

An evaluation of a social norms marketing project for tobacco prevention with middle, high, and college students; use of funds from the Tobacco Master Settlement (Virginia)

The Anti-Tobacco Media Blitz (ATMB), a social-norms marketing program, was utilized for tobacco prevention with middle and high school students. University students assisted middle and high school students with the implementation of this campaign, which included a variety of media. Students worked in teams to design, develop, and evaluate tobacco-free messages through posters, radio, television, and peer-led activities. Evaluation of the campaign was constant and included assessment of message retention and demonstration of positive behaviors. This article discusses the procedures of this project, the five-step social norms marketing model, with emphasis on the student-centered evaluation and results.     

Force steadiness in the lower extremities as an independent predictor of functional performance in older women

The relationship between isometric force control and functional performance is unknown. Submaximal steadiness and accuracy were measured during a constant force-matching task at 50% of maximal isometric voluntary contraction (MVC) of the knee extensors in 19 older women (70-89 years). Other variables included MVC, rate of torque development, and EMG activity. Functional performance was assessed during maximal performance of walking endurance, chair rising, and stair climbing. Isometric steadiness (but not accuracy) was found to independently predict chair-rise time and stair-climbing power and explained more variance in these tasks than any other variable. Walking endurance was related to muscle strength but not steadiness. These results suggest that steadiness is an independent predictor of brief, stressful functional-performance tasks in older women with mild functional impairment. Thus, improving steadiness might help reduce functional limitations or disability in older adults.     

Development of the Drake Beliefs about Chance Inventory

The present research describes the development and validation of a cognitive assessment instrument, the Drake Beliefs about Chance (DBC) inventory, designed to determine and quantify erroneous beliefs about games of chance. Principal components analyses showed that the DBC assesses two primary dimensions, Illusion of Control and Superstition. Correlation analyses showed that scores on these two dimensions are related to higher frequency of gambling behaviors in both adults from the general population and clients from gambling treatment centers. Of the two sets of erroneous beliefs, Illusion of Control was a better predictor of gambling than Superstition. This investigation provides additional evidence that participants in games of chance such as casino gamblers possess certain classes of erroneous beliefs regarding the games they play.