Life course building epidemiology: An alternative approach to the collection and analysis of carbon emission data

Developing policy for the reduction of the carbon emissions due to buildings requires models for energy usage that incorporate social, behavioural, and environmental factors in addition to the physical properties and technical specifications of the buildings. Marked parallels exist with some of the more intractable public health issues, such as rising levels of obesity. Recently, health researchers have recognized the importance of taking a broader life-course approach to epidemiology in order to examine the degree that long-term health outcomes are set in early life and the extent that these may be mediated or mitigated by subsequent growth and development, as well as by intervention strategies. Life course epidemiology as applied in building science, where energy usage is treated as analogous to poor health outcomes, provides an alternative approach for the construction of causal models that allow for complex interactions between social and technical factors as well as long term effects. It can provide a useful framework for the successful management and analysis of longitudinal studies and may prove particularly effective in identifying the type, timing, and targeting of intervention strategies to produce optimal outcomes in terms of absolute reductions of carbon emissions and resilience of building performance to external stresses, such as those imposed by climate change. An example based on a study in Milton Keynes (London), which is currently in progress, is used to illustrate the way causal models may help elucidate the complex interactions between factors that influence energy usage

Milton Keynes Park Revisited: changes in internal temperatures

27-30 April 2006 The Carbon Reduction in Buildings project has undertaken a pilot longitudinal survey based on a study of 160 ‘low-energy’ homes in 1989 in Milton Keynes Energy Park. In that study, a sub-sample of 29 dwellings was monitored on an hourly basis for internal temperature for the living room and main bedroom over 2 years. The follow up study has been in progress since 2005 and consists of 15 dwellings from the original detailed survey. Findings include that under an average daily external temperature of 5 ºC, internal temperatures were predicted from regression analysis to be 20.1ºC (95%CI:19.7, 20.5) for the living room in 2005 and 19.5 ºC (95 %CI:19.1, 19.9) for the bedroom. This was not significantly different from the 1990 baseline study, except for main bedroom evening temperatures (6pm-11pm) which were found to have decreased by -1.3°C (95%CI -2.4, 0.08; p-value 0.04). This may be indicative of higher ventilation rates since almost all participants in 2005 reported opening bedroom windows through winter

Detection and Quantification of Grass and Olea Airborne Pollen Allergens in Outdoor Air Samples and its Correlation with Pollen Counts

Detection and Quantification of Grass and Olea Airborne Pollen Allergens in Outdoor Air Samples and its Correlation with Pollen Counts R Ferro1*, R Ribeiro1*, MR Martins1,2, AT Caldeira1,3, E Caeiro6, CM Antunes1,5 & R Brandão2,4 and the HIALINE working group7 1Dep. of Chemistry, University of Evora, Portugal; 2Mediterranean Inst. Crop and Environment Sciences, Univ.Evora, Portugal; 3Centro Química, University of Évora, Portugal; 4Dep. Biology, University of Evora; 5Center for NeuroSciences and Cell Biology-University of Coimbra, Portugal; 6Soc.Portuguesa Alergol.Imunologia Clínica , Portugal 7 M. Thibaudon, France, M. Smith, United Kingdom, C. Galan, Spain R. Albertini, Italy, L. Grewling, Poland, G. Reese, Germany, A. Rantio-Lehtimäki, Finland, S. Jäger and U. Berger, Austria, M. Sofiev, Finland, I. Sauliene, Lithuania, L. Cecchi, Italy Presenting author: [email protected] tel: +351 266760889 Introduction: Allergic respiratory diseases broken out after an exposure to airborne pollen, as asthma and allergic rhinitis, are deeply increasing and they represent one of the major public health problems nowadays, affecting about 40% of European population. In Portugal, grass and Olea europaea pollen are certainly one of the main sources of athmospheric aeroallergens and as such, one of the main causes of respiratory allergy. For these reasons, it is useful the development of new strategies for prevention and treatment of these pathologies. The execution of aerobiological analysis including pollen calendars and/or immunoassays for the detection and quantification of allergens which could forecast the allergenic potential of the athmosphere are quite relevant since they would contribute to develop prevention measures of allergic respiratory diseases. The aim of this study was to evaluate the putative correlation between the concentration of some of the major allergens of and with their pollen counts. Methodology: On a meteorological platform at the town center of Evora (south Portugal), ambient air was sampled at 800L/min with a Chemvol high-volume cascade impactor equipped with stages PM>10µm, 10 µm>PM>2.5µm. The polyurethane impacting substrate was extracted with 0.1M NH4HCO3, pH8.1, supplemented with 0.1% BSA. The major pollen allergens from grass Phleum p 5 and olive Ole e 1 were determined with allergen specific ELISA´s. Airborne pollen of and Olea europaea simultaneously monitored with a Burkard Seven Day Recording Volumetric Spore Trap* , between the 30th of April and the 8th of July of 2009. Both samplers were placed side-by-side with air input at the same level. Results: During the pollen season of 2009, high values of grass pollen were recorded between May 2th and June 1 th. It was also observed that the air content of Phl p5 or Ole e1 aeroallergens were directly correlated with airborne pollen counts of Poaceae and Oleaceae, respectively. Conclusions: These results suggest that the directly quantification of aeroallergens may contribute, together with pollen counts of air samples, to define the allergic risk with higher precision. Acknowledgments: This study is integrated in the european project HIALINE (Executive Agency for Health and Consumers under grant agreement No 2008 11 07

Functional kernel estimators of conditional extreme quantiles

We address the estimation of "extreme" conditional quantiles i.e. when their order converges to one as the sample size increases. Conditions on the rate of convergence of their order to one are provided to obtain asymptotically Gaussian distributed kernel estimators. A Weissman-type estimator and kernel estimators of the conditional tail-index are derived, permitting to estimate extreme conditional quantiles of arbitrary order.Comment: arXiv admin note: text overlap with arXiv:1107.226

Modelling metallothionein induction in the liver of sparus aurata exposed to metal-contaminated sediments

Metallothionein (MT) in the liver of gilthead seabreams (Sparus aurata L., 1758) exposed to Sado estuary (Portugal) sediments was quantified to assess the MT induction potential as a biomarker of sediment-based contamination by copper (Cu), cadmium (Cd), lead (Pb) and arsenic (As). Sediments were collected from two control sites and four sites with different levels of contamination. Sediment Cu, Cd, Pb, As, total organic matter (TOM) and fine fraction (FF) levels were determined. Generalized linear models (GLM) allowed integration of sediment parameters with liver Cu, Cd, Pb, As and MT concentrations. Although sediment metal levels were lower than expected, we relate MT with liver Cd and also with interactions between liver and sediment Cu and between liver Cu and TOM. We suggest integrating biomarkers and environmental parameters using statistical models such as GLM as a more sensitive and reliable technique for sediment risk assessment than traditional isolated biomarker approaches.info:eu-repo/semantics/publishedVersio

Allergenic Airborne Pollen in Portugal 2002-2004

Os calendários polínicos constituem instrumentos fundamentais para a orientação clínica de doentes alérgicos. Em Portugal, a sua elaboração de forma sistematizada teve início em 2002. Para tal foram colocados polinómetros volumétricos Burkard em cinco cidades do país: Porto, Coimbra, Lisboa, Évora e Portimão. O registo das contagens foi efectuado por método estandardizado. As contagens polínicas diárias expressam a concentração média por m3. Estas contagens foram objecto de análise descritiva e comparativa. O período de incidência polínica máxima decorre entre Março e Julho, sendo o pólen de Poaceae e de ervas silvestres os mais frequentemente identificados. Em Janeiro, Fevereiro e Dezembro existem níveis elevados de pólen de árvores em todo o território nacional. O Sul do país apresenta indicadores de polinização mais intensa

Socio-professional profiles of immigrant artists in Portugal

A presença de imigrantes nos mercados de trabalho culturais e artísticos tem merecido a atenção das ciências sociais. No entanto, não existe até ao momento uma análise centrada nos perfis socioprofissionais de artistas provenientes de países terceiros (exteriores à União Europeia) em Portugal. Este artigo apresenta uma análise comparativa de três grupos – artistas de origem portuguesa, intracomunitária e extracomunitária – abrangendo quer as suas características sociodemográficas, quer as suas situações profissionais. Os dados dos Censos de 2001 e 2011 permitem identificar semelhanças e diferenças entre os três grupos referidos, bem como alterações significativas ao longo da primeira década do século XXI.info:eu-repo/semantics/publishedVersio

Ecological risk assessment of sediment management areas : application to Sado Estuary, Portugal

The purpose of this work was to integrate different methodologies to assess the potential ecological risk of estuarine sedimentary management areas, using the Sado Estuary in Portugal as case study. To evaluate the environmental risk of sediment contamination, an integrative and innovative approach was used involving assessment of sediment chemistry, sediment toxicity, benthic community structure, human driving forces and pressures and management areas organic load levels. The basis for decisionmaking for overall assessment was a statistical multivariate analysis appended into a score matrix tables, using a best expert judgment. The integrated approach allowed to identify from the 19 management areas analyzed, three with no risk but other three with high risk to cause adverse effects in the biota, related with the contaminants analyzed. The methodologies used showed to be effective as a support for decision making leading to future estuarine management recommendations.peerreviewe