47 research outputs found

    Deciduous wood chips as bedding material: Estimation of dust yield, water absorption and microbiological comparison

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    Dust yield, water absorbing capacity and airborne microbes of laboratory animal beddings made of deciduous wood were compared. Three different bedding materials, aspen, alder and birch, two chip sizes and effects of a softening treatment were studied. Overall dust yield from Chips was relatively low. Aspen should, however, be preferred to alder, because it was less dusty. Small (1 X 2 X 1 mm) aspen Chips yielded less inhalable dust than the large chips (4 X 4 X 1 mm). Water absorbing capacity was better in small chips than in large chips and could also be increased with a softening procedure. In this study softening of small aspen chips resulted in unacceptable high dust yield. Though alder had a better water absorbing capacity, aspen seems to soak up urine well enough during a normal change cycle

    Indoor Inhalation Intake Fractions of Fine Particulate Matter: Review of Influencing Factors

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    Exposure to fine particulate matter ( PM2.5) is a major contributor to the global human disease burden. The indoor environment is of particular importance when considering the health effects associated with PM2.5 exposures because people spend the majority of their time indoors and PM2.5 exposures per unit mass emitted indoors are two to three orders of magnitude larger than exposures to outdoor emissions. Variability in indoor PM2.5 intake fraction ( iFin,total), which is defined as the integrated cumulative intake of PM2.5 per unit of emission, is driven by a combination of building-specific, human-specific, and pollutant-specific factors. Due to a limited availability of data characterizing these factors, however, indoor emissions and intake of PM2.5 are not commonly considered when evaluating the environmental performance of product life cycles. With the aim of addressing this barrier, a literature review was conducted and data characterizing factors influencing iFin,total were compiled. In addition to providing data for the calculation of iFin,total in various indoor environments and for a range of geographic regions, this paper discusses remaining limitations to the incorporation of PM2.5-derived health impacts into life cycle assessments and makes recommendations regarding future research

    Current State of the Science: Health Effects and Indoor Environmental Quality

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    Our understanding of the relationship between human health and the indoor environment continues to evolve. Previous research on health and indoor environments has tended to concentrate on discrete pollutant sources and exposures and on specific disease processes. Recently, efforts have been made to characterize more fully the complex interactions between the health of occupants and the interior spaces they inhabit. In this article we review recent advances in source characterization, exposure assessment, health effects associated with indoor exposures, and intervention research related to indoor environments. Advances in source characterization include a better understanding of how chemicals are transported and processed within spaces and the role that other factors such as lighting and building design may play in determining health. Efforts are under way to improve our ability to measure exposures, but this remains a challenge, particularly for biological agents. Researchers are also examining the effects of multiple exposures as well as the effects of exposures on vulnerable populations such as children and the elderly. In addition, a number of investigators are also studying the effects of modifying building design, materials, and operations on occupant health. Identification of research priorities should include input from building designers, operators, and the public health community

    Parameter and model uncertainty in a life-table model for fine particles (PM2.5): a statistical modeling study

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    <p>Abstract</p> <p>Background</p> <p>The estimation of health impacts involves often uncertain input variables and assumptions which have to be incorporated into the model structure. These uncertainties may have significant effects on the results obtained with model, and, thus, on decision making. Fine particles (PM<sub>2.5</sub>) are believed to cause major health impacts, and, consequently, uncertainties in their health impact assessment have clear relevance to policy-making. We studied the effects of various uncertain input variables by building a life-table model for fine particles.</p> <p>Methods</p> <p>Life-expectancy of the Helsinki metropolitan area population and the change in life-expectancy due to fine particle exposures were predicted using a life-table model. A number of parameter and model uncertainties were estimated. Sensitivity analysis for input variables was performed by calculating rank-order correlations between input and output variables. The studied model uncertainties were (i) plausibility of mortality outcomes and (ii) lag, and parameter uncertainties (iii) exposure-response coefficients for different mortality outcomes, and (iv) exposure estimates for different age groups. The monetary value of the years-of-life-lost and the relative importance of the uncertainties related to monetary valuation were predicted to compare the relative importance of the monetary valuation on the health effect uncertainties.</p> <p>Results</p> <p>The magnitude of the health effects costs depended mostly on discount rate, exposure-response coefficient, and plausibility of the cardiopulmonary mortality. Other mortality outcomes (lung cancer, other non-accidental and infant mortality) and lag had only minor impact on the output. The results highlight the importance of the uncertainties associated with cardiopulmonary mortality in the fine particle impact assessment when compared with other uncertainties.</p> <p>Conclusion</p> <p>When estimating life-expectancy, the estimates used for cardiopulmonary exposure-response coefficient, discount rate, and plausibility require careful assessment, while complicated lag estimates can be omitted without this having any major effect on the results.</p

    Finnish nationwide allergy programme 2008–2018 changed attitudes and reduced morbidity

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    Vertaisarvioitu. English summary.Lähtökohdat : Allergiaohjelma 2008–2018 on kansallinen kansanterveysohjelma, jonka avulla välttö¬strategia on käännetty sietostrategiaksi ja painotettu allergiaterveyttä. Raportoimme 10 vuoden tulokset. Menetelmät : Ohjelmalla oli kuusi tavoitetta, joiden toteuttamiseksi määriteltiin tehtävät, työkalut ja mittarit. Ohjelmaa toteutettiin kouluttamalla terveydenhuoltoa ja viestimällä väestölle. Tulokset : Astman ja allergisen nuhan esiintyvyys tasoittui asevelvollisissa ja Helsingin aikuisväestössä. Helsingin aikuisista astmaatikoista 41 % oli ollut vuoden 2016 kyselyä edeltäneen vuoden oireettomia (31 % 2006). Lasten allergiaruokavaliot vähenivät koko maassa noin puoleen. Työperäiset allergiset sairaudet vähenivät 45 %. Astman sairaalahoidon tarve puolittui, mutta päivystyskäynnit vähenivät oleellisesti vain lapsilla. Anafylaksia aiheutti aiempaa enemmän päivystyskäyntejä. Allergiasta ja astmasta aiheutuvat vuosittaiset suorat ja epäsuorat kustannukset vähenivät 200 miljoonaa euroa ¬(30 %) verrattaessa vuosia 2007 ja 2018. Päätelmät : Allergian ja astman aiheuttama sairastavuus ja niistä koituvat kustannukset vähenivät merkittävästi. Haitat vähenivät aluksi nopeasti, myöhemmin hitaammin. Ammattilaiset ja suuri yleisö hyväksyivät uuden suunnan, jossa painottuivat sietokyky ja terveys allergiasta huolimatta. Tietoon perustuvat systemaattiset ohjelmat ovat vahva keino parantaa kansanterveyttä.Peer reviewe

    Air pollution exposure in European cities : the Expolis study : Final report

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    Kansi- ja selkänimeke: Expolis : final report. - Expolis = Exposure distributions of adult urban populations

    Air pollution exposure in European cities : the Expolis study : Executive summary report

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    Kansinimeke: Expolis : final report : executive summary. - EU contracts ENV4-CT96-0202 and ERB IC20-CT96-0061
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