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Biomedical subjects

M Lippmann

Publications and source records attributed to M Lippmann.

At least 199 records · Page 11Linked to original sources
PubMedDate not supplied

Monitor-to-monitor temporal correlation of air pollution and weather variables in the North-Central U.S.

Numerous time series studies have reported associations between daily ambient concentrations of air pollution and morbidity or mortality. Recent personal exposure studies have also reported relatively high longitudinal correlation between personal exposures to particulate matter (PM) and home outdoor PM concentrations, lending support to the health effects reported in time series studies. However, the question remains as to how well the temporal fluctuations in the air pollution levels observed at an outdoor monitor represent the temporal fluctuations in the population exposures to pollution of outdoor origins in a city, and how such representativeness affects the size and significance of risk estimates. Also, such spatio-temporal correlations would vary from pollutant to pollutant, likely influencing their relative significance of statistical associations with health outcomes. In this study, we characterized the extent of monitor-to-monitor correlation over time among multiple monitoring sites for PM less than 10 microm (PM10), gaseous criteria pollutants, and several weather variables in seven central and eastern contiguous states (IL, IN, MI, OH, PA, WI, and WV) during the study period of 1988-1990. After removing seasonal trends, the monitor-to-monitor temporal correlation among the air pollution/weather variables within 100-mile separation distance in these areas could be generally ranked into three groups: (1 ) temperature, dew point, relative humidity (r>0.9); (2) O3, PM10, NO2 (r: 0.8-0.6); and (3) CO, SO2 (r<0.5). Using the subsets for separation distance less than 100 miles, regression analyses of these monitor-to-monitor correlation coefficients were also conducted with explanatory variables including separation distance, qualitative (land use, location setting, and monitoring objectives) and quantitative (large and small variance) site characteristics, and region indicators for Air Quality Control Region (AQCR). The separation distance was a significant predictor of monitorto-monitor correlation decline especially for PM10 and NO2 (approximately 0.2 drop over 30 miles). Site characteristic variables were, in some cases, significant predictors of monitor-to-monitor correlation, but the magnitude of their impacts was not substantial. Regional differences, as examined by AQCR, were in some cases (e.g., in Metropolitan Philadelphia) substantial. In these areas, the pollutants that had generally poor monitor-to-monitor correlation in the overall seven states data (i.e., for SO2 and CO) showed higher monitor-to-monitor correlations, comparable with PM10 and O3, within the AQCR. These results are useful in interpreting some of the past time series epidemiological results. The differences in monitor-to-monitor correlations found across pollutants in this work (i.e., r approximately 0.8 vs. r approximately 0.4) are sufficiently large that they could be a factor in the different pollutant significance levels reported in the epidemiologic literature. It is recommended that future epidemiological studies collect and incorporate information on spatial variability among air pollutants in the analysis and interpretation of their results.

Air Pollution↗
PubMedDate not supplied

Respiratory effects of seasonal exposures to ozone and particles.

Whereas human respiratory effects of brief ozone exposures are well documented, much less is known about the human health effects of mid- to long-term exposures. The authors' objective in this study was to determine whether lung function or respiratory symptom changes would occur over the course of a summer season among healthy young adults working outdoors in the presence of ozone. The authors studied 72 sophomore cadets from the U.S. Military Academy at West Point, New York, 21 of whom attended special summer training in Fort Dix, New Jersey, an area characterized by elevated ozone levels; the remaining cadets attended training in areas with moderate ozone levels (i.e., Fort Benning, Georgia; Fort Leonard Wood, Missouri; and Fort Sill, Oklahoma). The authors hypothesized that adverse respiratory outcomes, if any, would be more pronounced in the group exposed to higher ozone levels. Spirometry was performed and respiratory symptoms were assessed-both before and after the summer-in a clinic at West Point. Time spent outdoors during summer training averaged 11 hr/d. Both mean and peak ozone levels were higher at Fort Dix than at the three remaining sites. Regional levels of sulfur dioxide and particulate matter less than 10 microm in aerodynamic diameter were relatively low during the study. However, all cadets reported frequent exposure to dust, exhaust, and smoke in the course of their training. Averaged across all subjects, there was a statistically significant drop in forced expiratory volume in 1 sec of 44 ml (p = .035) over the summer. There were also significant increases in reports of cough, chest tightness, and sore throat at the follow-up clinic visit. A larger mean forced expiratory volume in 1 sec decline was observed at Fort Dix, where ozone exposures were the highest. The results of this study demonstrated a seasonal decline in respiratory function among healthy young adults working outdoors in the presence of ozone and particulate matter.

Adult↗
PubMedDate not supplied

Exposure assessment: input into risk assessment.

The validity of a risk assessment can be no better than that of the exposure assessment upon which it is based. The general paucity of relevant exposure data, combined with the limited appreciation by most risk assessors of the critical dimensions and metrics of exposure, often leads to an overreliance on exposure models of questionable validity. The problems of identifying and interpreting relevant metrics of exposure for epidemiologic studies and risk assessments are illustrated through the presentation of three case studies. The first examines the effects of ozone on respiratory mechanical function and demonstrates that the appropriate averaging time is greater than or equal to 6 hr, rather than 1 hr, as is implied by the current ambient air quality standard. The second case study examines the effects of sulfur oxides and particulate matter in ambient air on morbidity and mortality. It indicates that the effects are most closely associated with the acidity of the aerosol, providing a basis for an index of exposure more relevant than those currently used, i.e., sulfur dioxide and nonspecific gravimetric mass concentration of particulate matter. The third case study examines the effects of lead on blood pressure. It shows that blood lead in concentrations below 35 micrograms/dL correlates with blood pressure in both humans and animals independently of other known causal factors for blood pressure elevation. It also examines the variable relations between levels of lead in blood and in environmental media to illustrate the potential problems which can arise from the use of biological markers, such as lead in blood, as indices of exposure.

Adolescent↗
PubMedDate not supplied

Associations of London, England, daily mortality with particulate matter, sulfur dioxide, and acidic aerosol pollution.

During the extreme pollution episodes of 1952 and 1962 in London, England, excesses in daily mortality were clearly evident. In this study, we examined daily British Smoke, sulfur dioxide, acid aerosols, and weather variables for their short-term associations with daily mortality in the more typical (nonepisodic) winters of 1965-1972. Consideration of the acid aerosol data was of special interest because this chemical component has been suspected as a causal agent in past episodes. Temporal lag structures between the variables were examined after removal of long-term components from each series in order to obtain "rational" cross-correlations. Significant associations between same-day and lagged pollution variables and mortality were found. Alternative regression models with pollution and weather variables were also developed. The coefficients obtained were applied to the 1962 pollution episode to examine the continuity of the estimated slopes. The pollution-predicted deaths fit the observed deaths well, which supports the applicability of such deviation-derived coefficients to the absolute scale. These models were also employed to estimate mean excess daily deaths attributed hypothetically to air pollution. On average, mean effect ranged from 2-7% of all deaths during the nonepisodic winters in Greater London, but the 95% confidence intervals of these estimates overlapped for all model specifications examined. This estimated pollutant mixture "effect" cannot be attributed to a particular pollutant because of a lack of quantitative information on the relative downward biases caused by both analytical errors and errors in the spatial representativeness of each respective pollution index.

Acids↗