Serum Vitamin D, PTH, and Calcium Levels in Patients with and without Early Childhood Caries

Purpose: The purpose was to determine differences in serum vitamin D, parathyroid hormone (PTH), and calcium levels between patients with early childhood caries (ECC) and patients without dental decay. Materials and Methods: Serum vitamin D, PTH, and calcium levels were obtained from 30 children without dental decay who acted as controls and 60 children with ECC. A questionnaire was filled out by the parent/guardian of each participant consisting of questions regarding medical and dental history, exposure to sources of vitamin D and demographic information. Results: The difference in the vitamin D levels of the participants was most strongly associated with race. African American participants demonstrated lower levels of vitamin D than non-African Americans. After adjusting for race- related differences there was no significant difference in the Vitamin D levels in the ECC cases and the healthy controls. Conclusions: The results of this study suggest that vitamin D levels, at least among non-African Americans, are unrelated to caries development. Future research in this area must control for important confounding factors such as skin pigmentation, season of measurement of serum vitamin D, sun exposure, fluoride exposure, water fluoridation status and tooth brushing in order to allow for vitamin D levels to be better tested against caries experience

Coastal and Inland Aquatic Data Products for the Hyperspectral Infrared Imager (HyspIRI)

The HyspIRI Aquatic Studies Group (HASG) has developed a conceptual list of data products for the HyspIRI mission to support aquatic remote sensing of coastal and inland waters. These data products were based on mission capabilities, characteristics, and expected performance. The topic of coastal and inland water remote sensing is very broad. Thus, this report focuses on aquatic data products to keep the scope of this document manageable. The HyspIRI mission requirements already include the global production of surface reflectance and temperature. Atmospheric correction and surface temperature algorithms, which are critical to aquatic remote sensing, are covered in other mission documents. Hence, these algorithms and their products were not evaluated in this report. In addition, terrestrial products (e.g., land use land cover, dune vegetation, and beach replenishment) were not considered. It is recognized that coastal studies are inherently interdisciplinary across aquatic and terrestrial disciplines. However, products supporting the latter are expected to already be evaluated by other components of the mission. The coastal and inland water data products that were identified by the HASG, covered six major environmental and ecological areas for scientific research and applications: wetlands, shoreline processes, the water surface, the water column, bathymetry and benthic cover types. Accordingly, each candidate product was evaluated for feasibility based on the HyspIRI mission characteristics and whether it was unique and relevant to the HyspIRI science objectives

Environmental and Socio-Economic Factors as Contributors to Racial Disparities in Diabetes Prevalence

BACKGROUND We deployed a study design that attempts to account for racial differences in socioeconomic and environmental risk exposures to determine if the diabetes race disparity reported in national data is similar when black and white Americans live under similar social conditions. DESIGN & METHODS We compared data from the 2003 National Health Interview Survey (NHIS) with the Exploring Health Disparities in Integrated Communities-Southwest Baltimore (EHDIC-SWB) Study, which was conducted in a racially-integrated urban community without race differences in socioeconomic status. RESULTS In the NHIS, African Americans had greater adjusted odds of having diabetes compared to whites (OR: 1.61, 95% CI: 1.26−2.04); whereas, in EHDIC-SWB white and African Americans had similar odds of having diabetes (OR: 1.07, 95% CI: 0.71−1.58). Diabetes prevalence for African Americans was similar in NHIS and EHDIC-SWB (10.4%, 95%CI: 9.5−11.4 and 10.5%, 95%CI: 8.5−12.5, respectively). Diabetes prevalence among whites differed for NHIS (6.6%, 95%CI: 6.2−6.9%) and EHDIC-SWB (10.1%, 95%CI: 7.6−12.5%). CONCLUSIONS Race disparities in diabetes may stem from differences in the health risk environments that African Americans and whites live. When African Americans and whites live in similar risk environments, their health outcomes are more similar