Declining prevalence rates for overweight and obesity in German children starting school.

UNLABELLED: To estimate the development of prevalence rates for overweight and obesity in children starting school in Germany, data for children's height and weight out of the compulsory school enrolment examinations (SEE), conducted annually in every German federal state, were available. A former analysis of these data showed a marked increase of prevalence of overweight and obesity until 2004. The aim of this project was to give an updated overview on the development of prevalence rates for overweight and obesity in children upon school entry by including recent data until 2008. Data on measured height and weight from the yearly conducted SEE were obtained from all 16 German federal states. Overweight and obesity were defined by BMI > 90th and BMI > 97th age- and gender-related percentiles of German reference values, respectively. In 2008, the prevalence for overweight varied from 8.4% in Saxony to 11.9% in Bremen and Thuringia. The current prevalence rates for obesity ranged from 3.3% in Brandenburg and Saxony till 5.4% in Saarland. The current data from SEE by the majority of the individual states showed that the prevalence for both overweight and obesity did not increase any more after 2004 and is even declining in some states compared to the former data inquiry. Absolute decrease of prevalence rates was up to 3% for overweight and 1.8% for obesity. CONCLUSION: The current data from the SEE of individual German states are based on census and showed by the majority that the prevalence of overweight and obese children starting school did not increase anymore and even declined in the last 4 years, respectively. It is supposed that the measures for prevention initiated in the 1990s and implemented afterwards have contributed to this positive development in Germany.

The influence of migratory background and parental education on health care utilisation of children.

UNLABELLED: School-entry screening data from North Rhine-Westphalia (NRW), Germany from 2007 were used to investigate child health care utilisation. We focussed on the influence of migratory background and parental education on children's (1) participation in regularly scheduled early recognition examinations, (2) immunisation uptake and (3) referrals due to a school-entry screen-detected complaint. The study sample consisted of 52,171 children out of 17 NRW districts. Bivariable, stratified and multivariable analyses were performed to identify relevant associations between social determinants and health care utilisation outcome parameters. Multivariable logistic regression showed that children belonging to families with a migratory background or low parental education were more likely to have an incomplete documentation of early recognition examinations and to be referred due to a new diagnosis. Children with migratory background were more likely to be sufficiently immunised than children with parents of German ethnicity. For all studied health care utilisation outcomes, kindergarten visit had a supportive effect. CONCLUSION: In general, the results of our regional study were in line with the results from national population-based studies. Additionally, a larger likelihood of referrals due to school-screen-detected deficits in children with migratory background or low parental education was detected.

Description of an aerodynamic levitation apparatus with applications in Earth sciences.

BACKGROUND: In aerodynamic levitation, solids and liquids are floated in a vertical gas stream. In combination with CO2-laser heating, containerless melting at high temperature of oxides and silicates is possible. We apply aerodynamic levitation to bulk rocks in preparation for microchemical analyses, and for evaporation and reduction experiments. RESULTS: Liquid silicate droplets (~2 mm) were maintained stable in levitation using a nozzle with a 0.8 mm bore and an opening angle of 60°. The gas flow was ~250 ml min-1. Rock powders were melted and homogenized for microchemcial analyses. Laser melting produced chemically homogeneous glass spheres. Only highly (e.g. H2O) and moderately volatile components (Na, K) were partially lost. The composition of evaporated materials was determined by directly combining levitation and inductively coupled plasma mass spectrometry. It is shown that the evaporated material is composed of Na > K >> Si. Levitation of metal oxide-rich material in a mixture of H2 and Ar resulted in the exsolution of liquid metal. CONCLUSIONS: Levitation melting is a rapid technique or for the preparation of bulk rock powders for major, minor and trace element analysis. With exception of moderately volatile elements Na and K, bulk rock analyses can be performed with an uncertainty of ± 5% relative. The technique has great potential for the quantitative determination of evaporated materials from silicate melts. Reduction of oxides to metal is a means for the extraction and analysis of siderophile elements from silicates and can be used to better understand the origin of chondritic metal.

Retaining local image information in gamut mapping algorithms.

Our topic is the potential of combining global gamut mapping with spatial methods to retain the percepted local image information in gamut mapping algorithms. The main goal is to recover the original local contrast between neighboring pixels in addition to the usual optimization of preserving lightness, saturation, and global contrast. Special emphasis is placed on avoiding artifacts introduced by the gamut mapping algorithm itself. We present an unsharp masking technique based on an edge-preserving smoothing algorithm allowing to avoid halo artifacts. The good performance of the presented approach is verified by a psycho-visual experiment using newspaper printing as a representative of a small destination gamut application. Furthermore, the improved mapping properties are documented with local mapping histograms.

Image-dependent gamut mapping as optimization problem.

We explore the potential of image-dependent gamut mapping as a constrained optimization problem. The performance of our new approach is compared to standard reference gamut mapping algorithms in psycho-visual tests.

Effects of sample storage and shell orientation on LA-ICPMS trace element measurements on deep-sea mussels.

Geochemical markers are being increasingly applied to fundamental questions in population and community ecology in marine habitats because they allow inferences on individuals dispersal, but vital effects, small sample size and instrumental limitation are still challenging particularly in deep-sea studies. Here we use shells of the deep-sea bivalve Idas modiolaeformis to assess potential effects of sample storage, mineralogy, and valve orientation on LA-ICPMS measurements. Trace element concentrations of (24)Mg, (43)Ca, (88)Sr, (137)Ba, (208)Pb, and (238)U are not affected by the two most commonly used storage methods of biologic deep-sea samples (frozen at -20°C and fixed in 95% ethanol); thus combined analysis of differently preserved specimens is possible when the number of individuals is insufficient and distinct sample fixation is needed for multiple purposes. Valve orientation had a strong impact on quantification of trace elements in the calcitic but not in the aragonitic layer of adult shells. Hence, to enable comparisons between adult shells and entirely aragonitic embryonic shells, a reference map of site-specific signatures can potentially be generated using the aragonitic layer of the adult shells. Understanding ontogenetic changes and environmental effects in trace element incorporation is critical before geochemical fingerprinting can be used as a tool for larval dispersal studies in the deep-sea.

Computing light statistics in heterogeneous media based on a mass weighted probability density function method.

Based on the transport theory, we present a modeling approach to light scattering in turbid material. It uses an efficient and general statistical description of the material's scattering and absorption behavior. The model estimates the spatial distribution of intensity and the flow direction of radiation, both of which are required, e.g., for adaptable predictions of the appearance of colors in halftone prints. This is achieved by employing a computational particle method, which solves a model equation for the probability density function of photon positions and propagation directions. In this framework, each computational particle represents a finite probability of finding a photon in a corresponding state, including properties like wavelength. Model evaluations and verifications conclude the discussion.