NASA PhonesSat Program Overview

A group of young engineers working at NASA have been trying to show that participating in real science and reaching space isnt as expensive or as difficult as commonly assumed. Our current mission: sending a phone into space

Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations

Purpose: We investigated whether group-level bias of a 24-h recall estimate of protein and potassium intake, as compared to biomarkers, varied across European centers and whether this was influenced by characteristics of individuals or centers. Methods: The combined data from EFCOVAL and EPIC studies included 14 centers from 9 countries (n = 1,841). Dietary data were collected using a computerized 24-h recall (EPIC-Soft). Nitrogen and potassium in 24-h urine collections were used as reference method. Multilevel linear regression analysis was performed, including individual-level (e.g., BMI) and center-level (e.g., food pattern index) variables. Results: For protein intake, no between-center variation in bias was observed in men while it was 5.7% in women. For potassium intake, the between-center variation in bias was 8.9% in men and null in women. BMI was an important factor influencing the biases across centers (p <0.01 in all analyses). In addition, mode of administration (p = 0.06 in women) and day of the week (p = 0.03 in men and p = 0.06 in women) may have influenced the bias in protein intake across centers. After inclusion of these individual variables, between-center variation in bias in protein intake disappeared for women, whereas for potassium, it increased slightly in men (to 9.5%). Center-level variables did not influence the results. Conclusion: The results suggest that group-level bias in protein and potassium (for women) collected with 24-h recalls does not vary across centers and to a certain extent varies for potassium in men. BMI and study design aspects, rather than center-level characteristics, affected the biases across center

The role of illness scripts in the development of medical diagnostic expertise: Results from an interview study

In this article, we describe a study in which some current ideas about illness scripts are tested. Participants at 4 levels of medical expertise were asked to describe either a prototypical patient or the clinical picture associated with a number of different diseases. It was found that participants at intermediate levels of expertise mentioned, both absolutely and relatively, many enabling conditions (patient contextual factors such as sex, age, medical history, and occupation) when asked to describe a prototypical patient with a disease, whereas the instruction to describe the clinical picture of a disease revealed a monotonic relation with expertise level. The amount of biomedical information in the descriptions decreased with increasing expertise level for both types of instruction. In addition, a positive relation was found between number of actual patients seen with a particular disease and number of enabling conditions mentioned. These results were interpreted as supportive of the present conceptualization of the illness script theory

Comparison of Tobacco Control Scenarios: Quantifying Estimates of Long-Term Health Impact Using the DYNAMO-HIA Modeling Tool

There are several types of tobacco control interventions/policies which can change future smoking exposure. The most basic intervention types are 1) smoking cessation interventions 2) preventing smoking initiation and 3) implementation of a nationwide policy affecting quitters and starters simultaneously. The possibility for dynamic quantification of such different interventions is key for comparing the timing and size of their effects

DYNAMO-HIA–A Dynamic Modeling Tool for Generic Health Impact Assessments

Currently, no standard tool is publicly available that allows researchers or policy-makers to quantify the impact of policies using epidemiological evidence within the causal framework of Health Impact Assessment (HIA). A standard tool should comply with three technical criteria (real-life population, dynamic projection, explicit risk-factor states) and three usability criteria (modest data requirements, rich model output, generally accessible) to be useful in the applied setting of HIA. With DYNAMO-HIA (Dynamic Modeling for Health Impact Assessment), we introduce such a generic software tool specifically designed to facilitate quantification in the assessment of the health impacts of policies

Appraising the Qualities of Social Work Students’ Theoretical Knowledge: A Qualitative Exploration

Van Bommel, M., Boshuizen, H. P. A., & Kwakman, K. (2012). Appraising the qualities of social work students' theoretical knowledge: A qualitative exploration. Vocations and Learning, 5, 277-295. doi:10.1007/s12186-012-9078-9Higher professional education aims to prepare students for entering practice with an adequate theoretical body of knowledge. In constructivist programmes, authentic learning contexts and self-directed learning are assumed to support knowledge learning and the transition from education to practice. Through an in-depth exploration, this case study aimed at defining and assessing the qualities of social work students’ theoretical knowledge at initial qualification. Participants were final-year bachelor’s students (n=18) in a constructivist professional programme of social work. Students’ knowledge concerning a real-life practical case was elicited through an interview and a form of concept mapping. A six-step procedure was used for a qualitative appraisal of students’ knowledge with the assistance of seven expert teachers. During this procedure an instrument for analysing knowledge qualities was developed, comprising 13 aspects representing four features of expert knowledge: extent, depth, structure, and critical control. Results showed that 13 students received high appraisals for their knowledge extent and depth. Only 4 students received high appraisals for knowledge structure and critical control. 5 Students who received overall lower appraisals seemed inhibited to show their knowledge qualities by preoccupations with self-concerns about their own professional role. Conclusion is that the majority of students needs more learning support for knowledge structure and critical control than offered by their constructivist programme. Further research is needed into the personal factors that influence students’ theoretical knowledge learning and which knowledge qualities can be reached by young adults in a four year educational programme.Hogeschool Arnhem Nijmege

Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data: the role of uncertainty

Background: Estimates of disease incidence and prevalence are core indicators of public health. The manner in which these indicators stand out against each other provide guidance as to which diseases are most common and what health problems deserve priority. Our aim was to investigate how routinely collected data from different general practitioner registration networks (GPRNs) can be combined to estimate incidence and prevalence of chronic diseases and to explore the role of uncertainty when comparing diseases. Methods. Incidence and prevalence counts, specified by gender and age, of 18 chronic diseases from 5 GPRNs in the Netherlands from the year 2007 were used as input. Generalized linear mixed models were fitted with the GPRN identifier acting as random intercept, and age and gender as explanatory variables. Using predictions of the regression models we estimated the incidence and prevalence for 18 chronic diseases and calculated a stochastic ranking of diseases in terms of incidence and prevalence per 1,000. Results: Incidence was highest for coronary heart disease and prevalence was highest for diabetes if we looked at the point estimates. The between GPRN variance in general was higher for incidence than for prevalence. Since uncertainty intervals were wide for some diseases and overlapped, the ranking of diseases was subject to uncertainty. For incidence shifts in rank of up to twelve positions were observed. For prevalence, most diseases shifted maximally three or four places in rank. Conclusion: Estimates of incidence and prevalence can be obtained by combining data from GPRNs. Uncertainty in the estimates of absolute figures may lead to different rankings of diseases and, hence, should be taken into consideration when comparing disease incidences and prevalences

The impact of self-reported exposure to whole-body-vibrations on the risk of disability pension among men: a 15 year prospective study

<p>Abstract</p> <p>Background</p> <p>Whole-body-vibrations are often associated with adverse health effect but the long term effects are less known. This study investigates the association between occupational exposures to whole-body vibrations, and subsequent transition to disability pension.</p> <p>Methods</p> <p>A total of 4215 male employees were followed up for subsequent disability pension retirement. Exposure to whole-body-vibration was self-reported while new cases of disability pension were retrieved from a national register.</p> <p>Results</p> <p>The hazard ratio (HR) for disability pension retirement among men exposed to whole-body-vibrations was 1.61 (95% confidence interval (CI) 1.07-2.40) after adjustment for age, smoking habits, BMI, physical job demands and awkward work postures. In our model, with the available explanatory variables, 5.6% of the male disability pension cases were attributable to whole-body-vibrations.</p> <p>Conclusions</p> <p>Exposure to whole-body-vibrations predicts subsequent disability pension retirement. Continued reduction of whole-body-vibrations may reduce the number of new cases of disability pension.</p