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2.
J Environ Health ; 85(4): 40-42, 2022 Nov.
Article in English | MEDLINE | ID: mdl-37207109

ABSTRACT

As part of our continued effort to highlight innovative approaches to improve the health and environment of communities, the Journal is pleased to publish regular columns from the Agency for Toxic Substances and Disease Registry (ATSDR) at the Centers for Disease Control and Prevention (CDC). ATSDR serves the public by using the best science, taking responsive public health actions, and providing trusted health information to prevent harmful exposures and diseases related to toxic substances. The purpose of this column is to inform readers of ATSDR's activities and initiatives to better understand the relationship between exposure to hazardous substances in the environment, its impact on human health, and how to protect public health.

4.
J Expo Sci Environ Epidemiol ; 17(5): 478-87, 2007 Aug.
Article in English | MEDLINE | ID: mdl-17299531

ABSTRACT

Few, if any, published time series studies have evaluated the effects of particulate matter air exposures by combining hospital admissions with medical visit data for smaller populations. We investigated the relationship between daily particulate matter (<10 microm in aerometric diameter or PM10) exposures with admissions and medical visits (emergency room, urgent care, and family practice) for respiratory and cardiovascular disease in Pocatello and Chubbuck, Idaho (population about 60,000), from November 1994 through March 2000. Within generalized linear models, time, weather, influenza, and day-of-week effects were controlled. In single-pollutant models, respiratory disease admissions and visits increased (7.1-15.4% per 50 microg/m3 PM10) for each age group analyzed, with the highest increases in two groups, children and especially the elderly. Statistical analyses suggest that the results probably did not occur by chance. Sensitivity analyses did not provide strong evidence that the respiratory disease effect estimates were sensitive to reasonable changes in the final degrees of freedom choice for time and weather effects. No strong evidence of confounding by NO2 and SO2 was found from results of multi-pollutant models. Ozone and carbon monoxide data were not available to include multi-pollutant models, but evidence suggests that they were not a problem. Unexpectedly, evidence of an association between PM10 with cardiovascular disease was not found, possibly due to the lifestyles of the mostly Mormon study population. Successful time series analyses can be performed on smaller populations if diverse, centralized databases are available. Hospitals that offer urgent or other primary care services may be a rich source of data for researchers. Using data that potentially represented a wide-range of disease severity, the findings provide evidence that evaluating only hospital admissions or emergency room visit effects may underestimate the overall morbidity due to acute particulate matter exposures. Further work is planned to test this conclusion.


Subject(s)
Air Pollutants/toxicity , Air Pollution/adverse effects , Heart Diseases/etiology , Hospitalization/statistics & numerical data , Lung Diseases/etiology , Particulate Matter/toxicity , Adolescent , Adult , Age Factors , Aged , Carbon Dioxide/toxicity , Child , Cities/epidemiology , Humans , Idaho/epidemiology , Infant , Infant, Newborn , Linear Models , Middle Aged , Models, Biological , Nitrogen Dioxide/toxicity , Seasons , Time Factors
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