Biomedical subjects

J R Alldredge

Publications and source records attributed to J R Alldredge.

7 recordsLinked to original sources

PubMed2003

Estimation of actinide skeletal content in humans based on bone samples collected at autopsy.

The USTUR has developed simple linear and multiple regression models for estimating skeletal actinide concentrations on the basis of bone samples collected at autopsies of non-whole body tissue donors. Bone samples usually collected include a clavicle, the patella(e), one or more ribs, the sternum, and a vertebral wedge cut from within the abdominal cavity. The described models were derived by regression analyses with the analytical results from those bones and the entire skeletons of eight whole body donations to the USTUR. With the model, skeletal concentrations of 238Pu, (239+240)Pu, and 241Am can be estimated from wet or ashed actinide concentrations in one to five of the bones usually collected at autopsy and analyzed. Application of the models to a selected USTUR non-whole body donation (Case 0240) indicated that the skeletal actinide concentration estimates were reasonably precise and that there was good agreement between the results from individual bones with wet or ashed actinide concentrations. The USTUR will apply the model that is based on wet concentrations of bones to estimate skeletal concentrations of actinides in all non-whole body autopsy cases for the sake of consistency because of the large number of early cases for which ashed weights of bones were not recorded.

Actinoid Series Elements↗

PubMed2000

Metabolism and dosimetry of actinide elements in occupationally-exposed personnel of Russia and the United States: a summary progress report.

The United States Transuranium and Uranium Registries (USTUR) and the Dosimetry Registry of the Mayak Industrial Association (DRMIA) have been independently collecting tissues at autopsy of plutonium workers in their respective countries for nearly 30 y. The tissues are analyzed radiochemically and the analytical data are used to develop, modify, or refine biokinetic models that describe the depositions and translocations of plutonium and transplutonium elements in the human body. The purpose of this collaborative research project is to combine the unique information on humans, gathered by the two Registries, into a joint database and perform analyses of the data. A series of project tasks are directly concerned with dosimetry in Mayak workers and involve biokinetic modeling for actinide elements. Transportability coefficients derived from in-vitro solubility measurements of actinide-containing aerosols (as measured by the DRMIA) were related to specific workplaces within Mayak facilities. The transportability coefficients of inhaled aerosols significantly affected the translocation rates of plutonium from the respiratory tract to the systemic circulation. Parameters for a simplified lung model, used by Branch No. 1, Federal Research Center Institute of Biophysics (FIB-1) and the Mayak Production Association for dose assessment at long times after inhalation of plutonium-containing aerosols, were developed on the basis of joint USTUR and DRMIA data. This model has separate sets of deposition and transfer parameters for three aerosol transportability groups, allowing work histories of the workers to be considered in the dose-assessment process. FIB-1 biokinetic models were extended to include the distributions of actinide elements in systemic organs of workers, and a relationship between the health of individual workers and plutonium distribution in tissues was determined. Workers who suffered from liver diseases generally had a smaller fraction of systemic plutonium in the liver at death and a larger fraction in the skeleton than did relatively healthy workers. Also, the fraction of total systemic plutonium excreted per day was significantly greater for workers with liver diseases than for relatively healthy workers. These observations could have a considerable effect on organ dosimetry in health-impaired workers whose dose assessments were based solely on urinary excretion rates. A comparison of this model to other biokinetic models, such as those published by the International Commission for Radiological Protection, is currently underway as is the documentation of uncertainty estimates associated with the model.

Aerosols↗

PubMed2000

A chi-square goodness-of-fit analysis of dependent resource selection data.

The chi2 goodness-of-fit test is commonly used for testing if animals use resources in proportion to availability. This method assumes independence of resource selection among animals. In reality, this assumption is violated if animals display antisocial or gregarious behavior. Data from a study of sharp-tailed grouse in eastern Washington suggested some dependency among observations. Realizing that this dependency can have a great influence on inference for resource selection data, we develop a technique to incorporate information on dependent observations through a simple adjustment of the usual goodness-of-fit statistic. We also demonstrate how confidence intervals on proportional use may be modified for dependent observations. Simulation is used to compare our method to other methods.

Animals↗

PubMed1995

Magnetic field exposure among utility workers.

The Electric and Magnetic Field Measurement Project for Utilities--the Electric Power Research Institute (EPRI) Electric and Magnetic Field Digital Exposure (EMDEX) Project (the EPRI EMDEX Project)--was a multifaceted project that entailed technology transfer, measurement protocol design, data management, and exposure assessment analyses. This paper addresses one specific objective of the project: the collection, analysis, and documentation of power-frequency magnetic field exposures for a diverse population of utility workers. Field exposure data measured by an EMDEX system were collected by volunteer utility employees at 59 sites in four countries between September, 1988, and September, 1989. Specially designed sampling procedures and data collection protocols were used to ensure uniform implementation across sites. Volunteers within 13 job classifications recorded which of eight work or three nonwork environments they occupied while wearing an EMDEX meter. Approximately 50,000 hours of magnetic field exposure records taken at 10 s intervals were obtained, about 70% of which were from work environments. Exposures and time spent in environments were analyzed by primary work environment, by occupied environment, and by job classification. Generally, for utility-specific job classifications related to the generation, transmission, and distribution of electricity, the field and exposure measurements in terms of workday mean field were higher than in more general occupations. The job classifications with the highest (median workday mean) exposure were substation operators (0.7 microT) and electricians (0.5 microT). Total variance also tended to be largest for utility-specific job classifications. For these workers, the contributions of between-worker and within-worker variances to total variance were about the same. Measurements in utility-specific environments were higher than in more general environments. Estimates of time-integrated exposure indicated that utility-specific job classifications received about one-half or more of their total exposure on the job. The nonwork field and exposure distributions for workers in all job categories were comparable with median nonworkday means of about 0.09 microT.

Documentation↗

PubMed1986

Determination of habitual alcohol intake from a panel of blood chemistries.

Combinations of automated blood tests were used to screen for level of alcohol consumption through the use of quadratic discriminant analysis. When 15 variables were used, quadratic discriminant analysis correctly placed 91% of persons who reported consumption of less than or greater than four drinks per day (48 g of ethanol). When alcohol intake of greater than or less than 24 g ethanol per day was used as the division point, 86% of persons were correctly placed. As the number of blood tests in the discriminant function was decreased, the percentage of persons correctly classified also decreased. When the number of variables was increased beyond 15, the discriminatory power also appeared to increase; however, the percentage correctly classified may be inflated due to an excessive number of blood tests for the number of subjects.

Adolescent↗

PubMed1986

Effects of alcohol use and other health practices on blood chemistries and blood pressure.

Assessment of alcohol consumption, physical activity, nicotine use, diet patterns, blood pressure, height, and weight was done for 179 males. Subjects from four different populations were sampled to assure that the entire range of alcohol consumption from abstainers to alcoholics was represented. A blood chemistry profile of 33 tests, which included hematological parameters, lipids, electrolytes and minerals, renal function tests, and indicators of liver function was done for each subject. Tests of liver function and mean corpuscular volume were most strongly related to alcohol consumption. In contrast, there were other blood tests which were significantly related to nicotine use, age, body fatness or physical activity, but not to alcohol intake. Blood pressure, red blood cell count, and triglycerides were significantly related to several factors including alcohol consumption. The effect of alcohol on the blood chemistry profile was distinguished from the effects of nicotine, diet, body fatness, age and physical activity.

Age Factors↗

PubMed1985

Line transect estimators for left-truncated distributions.

Left-truncated line transect data sets may occur when surveying with certain types of aircraft where the observer cannot look straight down. A general model of left-truncation in line transect sampling is developed and parametric estimators are derived in such cases when the underlying distribution of right-angle distances is either exponentially or half-normally distributed. Computer simulations demonstrate the validity of the derived estimators and the expected nonrobustness against alternative distributions. An aerial survey example using dolphin data is presented.

Animals↗