Auflistung nach Autor:in "Nakayama, Shoji F."

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Benefits of cooperation among large-scale cohort studies and human biomonitoring projects in environmental health research: An exercise in blood lead analysis of the Environment and Child Health International Birth Cohort Group
(2019) Nakayama, Shoji F.; Conrad, André; Espina, Carolina; Kamijima, Michihiro; Kolossa-Gehring, Marike; Murawski, Aline
A number of prospective cohort studies are ongoing worldwide to investigate the impact of foetal and neonatal exposures to chemical substances on child health. To assess multiple exposure (mixture) effects and low prevalence health outcomes it is useful to pool data from several studies and conduct mega-data-analysis. To discuss a path towards data harmonization, representatives from several large-scale birth cohort studies and a biomonitoring programme formed a collaborative group, the Environment and Child Health International Birth Cohort Group (ECHIBCG). In this study, an intra-laboratory trial was performed to harmonize existing blood lead measurements within the groups' studies. Then, decentralized analyses were conducted in individual countries' laboratories to evaluate blood lead levels (BLL) in each study. The measurements of pooled BLL samples in French, German and three Japanese laboratories resulted in an overall mean blood lead concentration of 8.66 ng¯1 (95% confidence interval: 8.59-8.72 ng¯1) with 3.0% relative standard deviation. Except for China's samples, BLL from each study were comparable with mean concentrations below or close to 10ng¯1. The decentralized multivariate analyses revealed that all models had coefficients of determination below 0.1. Determinants of BLL were current smoking, age >35 years and overweight or obese status. The three variables were associated with an increase in BLL in each of the five studies, most strongly in France by almost 80% and the weakest effect being in Norway with only 15%; for Japan, with the far largest sample (~18,000), the difference was 36%. This study successfully demonstrated that the laboratory analytical methods were sufficiently similar to allow direct comparison of data and showed that it is possible to harmonize the epidemiological data for joint analysis. This exercise showed the challenges in decentralized data analyses and reinforces the need for data harmonization among studies. © 2019 The Authors. Published by Elsevier GmbH.
Harmonisation of QA/QC measures among large-scale children's environmental studies
(2014) Nakayama, Shoji F.; Charles, M. J.; Zaros, C.; Wolz, B.; Kolossa-Gehring, Marike; Kamijima, M.; Kawamoto, T.; Nagasaka, J.; Zhang, J.; Dellarco, M.J.; Hirschfeld, S.; Gajeski, K.M.; Etzel, R.A.
There is mounting interest in the impact of the environment on childrens health and development.
Recently, large-scale studies of childrens environmental health, including both longitudinal and cross-sectionaldesigns, have been planned and implemented in several countries. These studies, aiming to better understandhow social, environmental and genetic factors affect childrens health, put special emphasis on the effect ofenvironmental stressors. Among a wide range of environmental stressors, the effect of chemical contaminants isone of the focus areas to be investigated. In order to examine the relationship between chemical exposure andchildrens health in longitudinal studies, individual exposure estimation is required rather than generalinformation on the exposure of the population. Exposure assessment utilizes monitoring, modelling andquestionnaires. Among these, biological monitoring (human biomonitoring) is one of the most powerful methodsto investigate individual exposure to chemical contaminants. However, different studies employ differentmeasurement methods, which hampers future data pooling and analysis among the studies. France, Germany,Japan, Shanghai (China) and the United States that are planning or conducting large-scale childrensenvironmental health studies have gathered to form an international working group to harmonize outcome andexposure measurement methodologies. The group identified three major contaminants including mercury,236phthalates and organophosphates for the first step of the harmonization. The group started sharing informationabout sample collection, analytical methods, quality assurance procedures and data reporting formats for thethree contaminants. Round-robin trials have also been conducted to identify key issues for furtherharmonization. The progress of the working group discussion and trials will be presented in the symposium.Acknowledgement: Environment and Childrens Health International Birth Cohort Group.
Quelle: 24th Annual Meeting ofThe International Society of Exposure Science: Exposure Science Integration to Protect Ecological Systems,Human Well-Being, and Occupational Health; Abstract Book ISES 2014 / International Society of Exposure Science, Cincinnati: 2014, S.235-236
Interpreting biomonitoring data: Introducing the international human biomonitoring (i-HBM) working group's health-based guidance value (HB2GV) dashboard
(2023) Nakayama, Shoji F.; Apel, Petra; St-Amand, Annie; Kolossa-Gehring, Marike; Pollock, Tyler; Murawski, Aline
Human biomonitoring (HBM) data measured in specific contexts or populations provide information for comparing population exposures. There are numerous health-based biomonitoring guidance values, but to locate these values, interested parties need to seek them out individually from publications, governmental reports, websites and other sources. Until now, there has been no central, international repository for this information. Thus, a tool is needed to help researchers, public health professionals, risk assessors, and regulatory decision makers to quickly locate relevant values on numerous environmental chemicals. A free, on-line repository for international health-based guidance values to facilitate the interpretation of HBM data is now available. The repository is referred to as the "Human Biomonitoring Health-Based Guidance Value (HB2GV) Dashboard". The Dashboard represents the efforts of the International Human Biomonitoring Working Group (i-HBM), affiliated with the International Society of Exposure Science. The i-HBM's mission is to promote the use of population-level HBM data to inform public health decision-making by developing harmonized resources to facilitate the interpretation of HBM data in a health-based context. This paper describes the methods used to compile the human biomonitoring health-based guidance values, how the values can be accessed and used, and caveats with using the Dashboard for interpreting HBM data. To our knowledge, the HB2GV Dashboard is the first open-access, curated database of HBM guidance values developed for use in interpreting HBM data. This new resource can assist global HBM data users such as risk assessors, risk managers and biomonitoring programs with a readily available compilation of guidance values. © 2022 Published by Elsevier GmbH