Dataset Information

Exposure-complaint relationships of various environmental odor sources in Styria, Austria.

ABSTRACT: In the planning and authorization process of industrial plants or agricultural buildings, it needs to be ensured that odor emissions do not annoy nearby residents in an unacceptable way. Previous studies have shown that odor-hour frequency is an important predictor for odor annoyance. However, odor-hour frequencies can be assessed for day and night separately. The present study relates complaint rates with different odor types and different metrics of frequency calculated via a dispersion model. Binary logistic regression analyses show that odor type and frequency of odor-hours are important predictors for complaints, while type of residential area does not increase the predictive value of the model. The combination of calculated frequency of day time odor-hours and type of odor explains complaint rates best. It is recommended to keep odor emissions as low as possible, especially for highly annoying odor types.

SUBMITTER: Weitensfelder L

PROVIDER: S-EPMC6469823 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Exposure-complaint relationships of various environmental odor sources in Styria, Austria.

Weitensfelder Lisbeth L Moshammer Hanns H Öttl Dietmar D Payer Ingrid I

Environmental science and pollution research international 20190208 10

In the planning and authorization process of industrial plants or agricultural buildings, it needs to be ensured that odor emissions do not annoy nearby residents in an unacceptable way. Previous studies have shown that odor-hour frequency is an important predictor for odor annoyance. However, odor-hour frequencies can be assessed for day and night separately. The present study relates complaint rates with different odor types and different metrics of frequency calculated via a dispersion model. ...[more]

PMID: 30734914

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Project description:BackgroundMany women suffer from anemia during their pregnancy. Austria, a central European country, has an instituted mandatory prenatal care system and therein two anemia screening tests (before end of week 16 and in weeks 25-28) are scheduled. Epidemiological data on the prevalence of anemia in pregnant women in Austria are missing.MethodsWe analysed data from Styria, an Austrian federal state, to determine the prevalence of anemia diagnosed in pregnant women aged 15-45 years with at least one examination in the first and second time period using the cut-off hemoglobin (Hb) concentration of 11 g/dl as recommended by the World Health Organisation (WHO). Sensitivity analyses for cut-off values with 10.5 and 7 g/dl (severe anemia) were performed. The STROBE checklist was applied for this retrospective cohort study.ResultsThe study included anemia screening tests from 25,922 women during 31,429 pregnancies from 2006-2014. Anemia was diagnosed in either time period in 13.7% (95% confidence interval (CI) 13.4-14.1) of pregnancies, in the first time period in 2.2% (95% CI 2.0-2.2), and in the second time period in 13.0% (95% CI 12.6-13.4). The annual age-adjusted anemia prevalence showed no change over time. Reducing the cut-off value to 10.5 g/dl resulted in an anemia prevalence in either time period of 5.6% (95% CI 5.3-5.8). The pattern of a higher prevalence in the second time period remained unchanged. Severe anemia (Hb <7 g/dl) was diagnosed in four pregnancies (0.01%).ConclusionThe estimated anemia prevalence of around 14% in pregnant women in Styria (Austria) is stable over the observed time window (2006-2014) and almost all are diagnosed in the second test period (in weeks 25-28). It seems that in a developed country like Austria the first examination (before week 16) is not mandatory for pregnancy care. However, in other countries where a high prevalence of anemia is common due to risk factors such as malaria and HIV, early screening in pregnancy might be very important.

Project description:BackgroundAlthough prenatal methylmercury exposure has been linked to poorer intellectual function in several studies, data from two major prospective, longitudinal studies yielded contradictory results. Associations with cognitive deficits were reported in a Faroe Islands cohort, but few were found in a study in the Seychelles Islands. It has been suggested that co-exposure to another contaminant, polychlorinated biphenyls (PCBs), may be responsible for the positive findings in the former study and that co-exposure to nutrients in methylmercury-contaminated fish may have obscured and/or protected against adverse effects in the latter.ObjectivesWe aimed to determine the degree to which co-exposure to PCBs may account for the adverse effects of methylmercury and the degree to which co-exposure to docosahexaenoic acid (DHA) may obscure these effects in a sample of Inuit children in Arctic Québec.MethodsIQ was estimated in 282 school-age children from whom umbilical cord blood samples had been obtained and analyzed for mercury and other environmental exposures.ResultsPrenatal mercury exposure was related to poorer estimated IQ after adjustment for potential confounding variables. The entry of DHA into the model significantly strengthened the association with mercury, supporting the hypothesis that beneficial effects from DHA intake can obscure adverse effects of mercury exposure. Children with cord mercury ≥ 7.5 μg/L were four times as likely to have an IQ score < 80, the clinical cut-off for borderline intellectual disability. Co-exposure to PCBs did not alter the association of mercury with IQ.ConclusionsTo our knowledge, this is the first study to document an association of prenatal mercury exposure with poorer performance on a school-age assessment of IQ, a measure whose relevance for occupational success in adulthood is well established. This association was seen at levels in the range within which many U.S. children of Asian-American background are exposed.

Dataset Information

Exposure-complaint relationships of various environmental odor sources in Styria, Austria.

Publications

Exposure-complaint relationships of various environmental odor sources in Styria, Austria.

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