Managing insulin therapy during exercise in type 1 diabetes mellitus.
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BACKGROUND: Exercise is integral to the life of T1DM subjects. Several factors influence the metabolic response to exercise in these patients. Despite physical and psychological benefits of exercise, its hypo- and hyperglycemic effects may cause discouragement from participation in sports and games. AIM: To use existing evidence from literature to provide practical indications for the management of insulin therapy in subjects with T1DM who practice sports or physical activities. METHODS: Bibliographic research was performed on PubMed and the main Systematic Review and Guidelines database were also searched. RESULTS: Existing guidelines are useful but the exact adjustments of insulin dose must be made on an individual basis and these adjustments can be made only by "trial and error" approach. CONCLUSIONS: These clinical indications may be a starting point from which health care providers can find practical advices for each patient. (+info)
The influence of meteorological factors on growth and vegetation process of Perilla frutescens (L.) Britton in Lithuania.
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The results of a study on the dependence of growth and vegetation process of Perilla frutescens (L.) Britton upon meteorological factors are presented in the article. The investigations were conducted at Kaunas Botanical Garden of Vytautas Magnus University during vegetation periods in 2001-2005. The object of investigations was Perilla frutescens (L.) Britton, a medicinal annual herbaceous plant of Lamiaceae Lindl. family, native of Eastern Asia, which passes the whole development cycle under climatic conditions of Central Lithuania. The duration of vegetation period of Perilla frutescens on the average is 167 days. The earliest beginning of vegetation and optimal climatic conditions for growth are when hydrothermic coefficient reaches 1.60-1.80 (conditions of excessive humidity). Optimal climatic conditions for massive flowering and seed maturation are observed when hydrothermic coefficient decreases to 1.20 - then massive flowering starts 10 days earlier and lasts 25 days longer. A strong correlation was found between massive flowering and hydrothermic coefficient (r(2)=0.9408). Using mathematical-statistical methods, the consistent patterns of growth and vegetation process of Perilla frutescens (L.) Britton were determined, specifying the time for raw material preparation what determines its quality and quantity. (+info)
Airborne mold and endotoxin concentrations in New Orleans, Louisiana, after flooding, October through November 2005.
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BACKGROUND: The hurricanes and flooding in New Orleans, Louisiana, in October and November 2005 resulted in damp conditions favorable to the dispersion of bioaerosols such as mold spores and endotoxin. OBJECTIVE: Our objective in this study was to assess potential human exposure to bioaerosols in New Orleans after the flooding of the city. METHODS: A team of investigators performed continuous airborne sampling for mold spores and endotoxin outdoors in flooded and nonflooded areas, and inside homes that had undergone various levels of remediation, for periods of 5-24 hr during the 2 months after the flooding. RESULTS: The estimated 24-hr mold concentrations ranged from 21,000 to 102,000 spores/m3 in outdoor air and from 11,000 to 645,000 spores/m3 in indoor air. The mean outdoor spore concentration in flooded areas was roughly double the concentration in nonflooded areas (66,167 vs. 33,179 spores/m3 ; p < 0.05) . The highest concentrations were inside homes. The most common mold species were from the genera of Cladosporium and Aspergillus/Penicillium ; Stachybotrys was detected in some indoor samples. The airborne endotoxin concentrations ranged from 0.6 to 8.3 EU (endotoxin units) /m3 but did not vary with flooded status or between indoor and outdoor environments. CONCLUSIONS: The high concentration of mold measured indoors and outdoors in the New Orleans area is likely to be a significant respiratory hazard that should be monitored over time. Workers and returning residents should use appropriate personal protective equipment and exposure mitigation techniques to prevent respiratory morbidity and long-term health effects. (+info)
August 2003 heat wave in France: risk factors for death of elderly people living at home.
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The August 2003 heat wave in France resulted in many thousands of excess deaths particularly of elderly people. Individual and environmental risk factors for death among the community-dwelling elderly were identified. We conducted a case-control survey and defined cases as people aged 65 years and older who lived at home and died from August 8 through August 13 from causes other than accident, suicide, or surgical complications. Controls were matched with cases for age, sex, and residential area. Interviewers used questionnaires to collect data. Satellite pictures provided profiles of the heat island characteristics around the homes. Lack of mobility was a major risk factor along with some pre-existing medical conditions. Housing characteristics associated with death were lack of thermal insulation and sleeping on the top floor, right under the roof. The temperature around the building was a major risk factor. Behaviour such as dressing lightly and use of cooling techniques and devices were protective factors. These findings suggest people with pre-existing medical conditions were likely to be vulnerable during heat waves and need information on how to adjust daily routines to heat waves. In the long term, building insulation and urban planning must be adapted to provide protection from possible heat waves. (+info)
Air pollution and doctors' house calls for respiratory diseases in the Greater Paris area (2000-3).
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This study describes the short-term relationships between the daily levels of PM10, PM2.5, NO2 and the number of doctors' house calls for asthma, upper respiratory diseases (URD) and lower respiratory diseases (LRD) in Greater Paris for the years 2000-3. Doctors' house calls are a relevant health indicator for the study of short-term health effects of air pollution. Indeed, it is potentially more sensitive than indicators such as general hospital admissions due to the severity of diseases motivating the call. In this study, time-series analysis was used. The daily numbers of doctor's house calls were adjusted for time trends, seasonal factors, day of the week, influenza, weather and pollen. Up to 15 days of lag between exposure and health effects was considered using distributed lag models. A total of about 1,760,000 doctors' house calls for all causes occurred during the study period, among which 8027 were for asthma, 52,928 for LRD and 74,845 for URD. No significant increase in risk was found between air pollution and doctors' house calls for asthma. No significant association was found between NO2 and doctors' house calls. An increase of 10 microg/m3 in the mean levels of PM10 and PM2.5 encountered during the 3 previous days was associated with an increase of 3% (0.8% and 5.3%) and 5.9% (2.9% and 9.0%) in the number of doctor's house calls for URD and LRD, respectively. Considering up to 15 days between exposure and health outcomes, effects persist until 4 days after exposure and then decrease progressively. No morbidity displacement was observed. This study shows a significant heath effect of ambient particles (PM2.5 and PM10). When compared to the RRs obtained for mortality or hospital admissions in the same area, the values of the RRs obtained in this study confirm the higher sensibility of doctor's house calls for respiratory diseases as a health indicator. (+info)
Assessment of exposure to mercury from industrial emissions: comparing "distance as a proxy" and dispersion modelling approaches.
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BACKGROUND: The Runcorn area, north-west England, contains many pollution sources, the health effects of which have been under discussion for over 100 years. Preliminary investigations revealed an excess risk of mortality from kidney disease in people living nearest to several point sources of pollution, using distance as a proxy for exposure. Ongoing epidemiological investigations into the effect of ambient mercury exposure on dose and renal effect required a more refined assessment of exposure. METHODS: Atmospheric dispersion modelling was used to assess mercury dispersion from three mercury-emitting sources (including a large chlor alkali plant), based on knowledge of emissions, local meteorology and topography. RESULTS: The model was sensitive to various input parameters, with different dispersion patterns and ground-level concentrations, and therefore different exposed populations identified when different input parameters were defined. The different approaches to exposure assessment also had an impact on the epidemiological findings. The model output correlated well with weekly monitoring data collected in the local area, although the model underestimated concentrations in close proximity to the chlor alkali plant. The model identified that one point source did not contribute significantly to ground-level mercury concentrations, so that inclusion of this source when using the "distance as a proxy" approach led to significant exposure misclassification. CONCLUSIONS: The model output indicates that assessment of ambient exposure should give consideration to the magnitude of emissions, point source characteristics, local meteorology and topography to ensure that the most appropriate exposure classification is reached. Even if dispersion modelling cannot be undertaken, these data can be used to inform and improve the distance as a proxy approach, and improve the interpretability of the epidemiological findings. (+info)
The relationship of meteorological conditions to the epidemic activity of respiratory syncytial virus.
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Our aim was to obtain knowledge of how meteorological conditions affect community epidemics of respiratory syncytial virus (RSV) infection. To this end we recorded year-round RSV activity in nine cities that differ markedly in geographic location and climate. We correlated local weather conditions with weekly or monthly RSV cases. We reviewed similar reports from other areas varying in climate. Weekly RSV activity was related to temperature in a bimodal fashion, with peaks of activity at temperatures above 24-30 degrees C and at 2-6 degrees C. RSV activity was also greatest at 45-65% relative humidity. RSV activity was inversely related to UVB radiance at three sites where this could be tested. At sites with persistently warm temperatures and high humidity, RSV activity was continuous throughout the year, peaking in summer and early autumn. In temperate climates, RSV activity was maximal during winter, correlating with lower temperatures. In areas where temperatures remained colder throughout the year, RSV activity again became nearly continuous. Community activity of RSV is substantial when both ambient temperatures and absolute humidity are very high, perhaps reflecting greater stability of RSV in aerosols. Transmission of RSV in cooler climates is inversely related to temperature possibly as a result of increased stability of the virus in secretions in the colder environment. UVB radiation may inactivate virus in the environment, or influence susceptibility to RSV by altering host resistance. (+info)
Meteorological input data requirements to predict cross-pollination of GMO maize with Lagrangian approaches.
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Modeling pollen dispersal to predict cross-pollination is of great importance for the ongoing discussion of adventitious presence of genetically modified material in food and feed. Two different modeling approaches for pollen dispersal were used to simulate two years of data for the rate of cross-pollination of non-GM maize (Zea mays (L.)) fields by pollen from a central 1 ha transgenic field. The models combine the processes of wind pollen dispersal (transport) and pollen competition. Both models used for the simulation of pollen dispersal were Lagrangian approaches: a stochastic particle Lagrange model and a Lagrangian transfer function model. Both modeling approaches proved to be appropriate for the simulation of the cross-pollination rates. However, model performance differed significantly between years. We considered different complexity in meteorological input data. Predictions compare well with experimental results for all simplification steps, except that systematic deviations occurred when only main wind direction was used. Concluding, it can be pointed out that both models might be adapted to other pollen dispersal experiments of different crops and plot sizes, when wind direction statistics are available. However, calibration of certain model parameters is necessary. (+info)