Effects of environmental temperature on life tables of Rhodnius neivai Lent, 1953 (Hemiptera: Reduviidae) under experimental conditions

Changes in life tables of Rhodnius neivai due to variations of environmental temperature were studied, based on nine cohorts. Three cohorts were kept at 22°C, three at 27°C and three at 32°C. Cohorts were censused daily during nymphal instars and weekly in adults. Nine complete horizontal life tables were built. A high negative correlation between temperature and age at first laying was registered (r=-0,84). Age at maximum reproduction was significantly lower at 32°C. Average number of eggs/female/week and total eggs/female on its life time were significantly lower at 22°C. Total number of egg by cohort and total number of reproductive weeks were significantly higher at 27°C. At 32°C, generational time was significantly lower. At 27°C net reproductive rate and total reproductive value were significantly higher. At 22°C, intrinsic growth, finite growth and finite birth rates were significantly lower. At 22°C, death instantaneous rate was significantly higher.

Exposition aux bioaérosols dans deux milieux professionnels : les cabinets de dentistes et les cultures de concombres et tomates

L'exposition aux bioaérosols (endotoxines, bactéries et spores de champignons en suspension dans l'air) et les problèmes de santé qui en découlent sont bien connus dans certains milieux professionnels (station d'épuration des eaux usées, élevages d'animaux, traitements des déchets organiques, travailleurs du bois, récolte et manutention des céréales, agriculture...). Cependant, les études avec investigations des concentrations aéroportées d'endotoxines et de micro-organismes se font très rares dans d'autres milieux professionnels à risque. Cette note d'actualité scientifique présente la synthèse de deux publications visant à quantifier les bioaérosols dans deux milieux professionnels rarement étudiés : les cabinets dentaires et les cultures maraîchères de concombres et tomates. Les dentistes ainsi que leurs assistants sont souvent bien informés sur les risques chimiques, les risques liés aux postures et les risques d'accidents avec exposition au sang. En revanche, le risque infectieux lié à une exposition aux bioaérosols est la plupart du temps méconnu. La flore bactérienne buccale est très riche et l'utilisation d'instruments tels que la fraise, le détartreur à ultrasons et le pistolet air-eau entraîne la dissémination aéroportée d'une grande quantité de bactéries. De plus, la conception des instruments générant un jet d'eau (diamètre des tubulures) favorise la formation de biofilm propice à l'adhérence et à la multiplication de micro-organismes à l'intérieur même des tuyaux. Ces micro-organismes se retrouvent alors en suspension dans l'air lors de l'utilisation de ces pistolets.L'inhalation de grandes quantités de ces micro-organismes pourrait alors engendrer des problèmes respiratoires (hypersensibilisation, asthme). De plus la présence de pathogènes, tels que les légionelles, les pseudomonas et les mycobactéries à croissance rapide, dans l'eau de ces unités dentaires peut aussi entraîner des risques infectieux pour les patients et pour les soignants. La production de tomates et concombres en Europe en 2008, était respectivement de 17 et 2 millions de tonnes dont 850 000 et 140 000 tonnes pour la France. La récolte, le tri et la mise en cageots ou en barquette individuelle de ces légumes génèrent de la poussière riche en matières organiques. Très peu d'études ont investigué l'exposition à ces poussières et aux endotoxines dans les serres de cultures intensives. Notamment, les données concernant les cultures de tomates sont inexistantes bien que ce légume soit un des plus cultivés en Europe. [Auteur]

Biology of Triatoma pallidipennis stal 1945 (Hemiptera: Reduviidae:Triatominae) under laboratory conditions

Aspects related to hatching, life time, mortality, feeding behaviour and fecundity for each stage of Triatoma pallidipennis life-cycle were evaluated. The hatching rate observed for 200 eggs was 60% and the average time of hatching was 18 days. Eighty nymphs (N) (40%) completed the cycle and the average time from NI to adult was 168.7±11.7days. The average span in days for each stage was 18.0 for NI, 18.5 for NII, 30.0 for NIII, 35.7 for NIV and 50.1 for NV. The number of bloodmeals at each nymphal stage varied from 1 to 5. The mortality rate was 9.17 for NI, 5.5 for NII, 6.8 for NIII 4.17 for NIV and 13.04 for NV nymphs. The average number of eggs laid per female in a 9-month period was 498.6. The survival rates of adults were 357±217.9 and 262.53±167.7 for males and females respectively.

Prevalence of chronic conditions – Stroke

IPH has estimated and forecast clinical diagnosis rates of stroke among adults for the years 2010, 2015 and 2020. In the Republic of Ireland, the data are based on the Survey of Lifestyle, Attitudes and Nutrition (SLÁN) 2007. The data describe the number of adults who report that they have experienced doctor-diagnosed stroke in the previous 12 months. Data are available by age and sex for each Local Health Office of the Health Service Executive (HSE) in the Republic of Ireland. In Northern Ireland, the data are based on the Health and Social Wellbeing Survey 2005/06. The data describe the number of adults who report that they have experienced doctor-diagnosed stroke at any time in the past. Data are available by age and sex for each Local Government District in Northern Ireland. Clinical diagnosis rates in the Republic of Ireland relate to the previous 12 months and are not directly comparable with clinical diagnosis rates in Northern Ireland which relate to anytime in the past. The IPH estimated prevalence per cents may be marginally different to estimated prevalence per cents taken directly from the reference study. There are two reasons for this: 1) The IPH prevalence estimates relate to 2010 while the reference studies relate to earlier years (Northern Ireland Health and Social Wellbeing Survey 2005/06, Survey of Lifestyle, Attitudes and Nutrition 2007, Understanding Society 2009). Although we assume that the risk of the condition in the risk groups do not change over time, the distribution of the number of people in the risk groups in the population changes over time (eg the population ages).  This new distribution of the risk groups in the population means that the risk of the condition is weighted differently to the reference study and this results in a different overall prevalence estimate. 2) The IPH prevalence estimates are based on a statistical model of the reference study. The model includes a number of explanatory variables to predict the risk of the condition. Therefore the model does not include records from the reference study that are missing data on these explanatory variables. A prevalence estimate for a condition taken directly from the reference study would include these records.

Prevalence of chronic conditions – Diabetes

IPH has estimated and forecast clinical diagnosis rates of diabetes among adults for the years 2010, 2015 and 2020. In the Republic of Ireland, the data are based on the Survey of Lifestyle, Attitudes and Nutrition (SLÁN) 2007. The data describe the number of people who report that they have experienced doctor-diagnosed diabetes in the previous 12 months (annual clinical diagnosis).  Data are available by age and sex for each Local Health Office of the Health Service Executive (HSE) in the Republic of Ireland. Note that an adjustment was made for diabetes medication use recorded in the SLÁN physical examination sub-group of 45+ year olds. In Northern Ireland, the data is based on the Health and Social Wellbeing Survey 2005/06 . The data describe the number of people who report that they have experienced doctor-diagnosed diabetes at any time in the past (lifetime clinical diagnosis). Data are available by age and sex for each Local Government District in Northern Ireland.Clinical diagnosis rates in the Republic of Ireland relate to the previous 12 months and are not directly comparable with clinical diagnosis rates in Northern Ireland which relate to anytime in the past. Differences between IPH estimates and reference study estimates: The IPH estimated prevalence per cents may be marginally different to estimated prevalence per cents taken directly from the reference study. There are two reasons for this: 1) The IPH prevalence estimates relate to 2010 while the reference studies relate to earlier years (Northern Ireland Health and Social Wellbeing Survey 2005/06, Survey of Lifestyle, Attitudes and Nutrition 2007, Understanding Society 2009). Although we assume that the risk of the condition in the risk groups do not change over time, the distribution of the number of people in the risk groups in the population changes over time (eg the population ages).  This new distribution of the risk groups in the population means that the risk of the condition is weighted differently to the reference study and this results in a different overall prevalence estimate. 2) The IPH prevalence estimates are based on a statistical model of the reference study. The model includes a number of explanatory variables to predict the risk of the condition. Therefore the model does not include records from the reference study that are missing data on these explanatory variables. A prevalence estimate for a condition taken directly from the reference study would include these records.  

Making Chronic Conditions Count: 5. Chronic Airflow Obstruction

Chronic conditions are responsible for a significant proportion of early deaths. They reduce qualityof life in many of the adults living with them, represent substantial financial costs to patients andthe health and social care system, and cause a significant loss of productivity to the economy.This report contains estimates and forecasts of the population prevalence of chronic airflowobstruction, and it shows how it varies across the island and what change is expected between2007, 2015 and 2020.

Making Chronic Conditions Count: 1. Diabetes

Chronic conditions are responsible for a significant proportion of early deaths. They reduce quality of life in many of the adults living with them, represent substantial financial costs to patients and the health and social care system, and cause a significant loss of productivity to the economy. This report contains estimates and forecasts of the population prevalence of diabetes, and it shows how it varies across the island and what change is expected between 2007, 2015 and 2020.

Making Chronic Conditions Count: 2. Coronary Heart Disease (Angina and Heart Attack)

Chronic conditions are responsible for a significant proportion of early deaths. They reduce quality of life in many of the adults living with them, represent substantial financial costs to patients and the health and social care system, and cause a significant loss of productivity to the economy. This report contains estimates and forecasts of the population prevalence of coronary heart disease (angina and heart attack), and it shows how it varies across the island and what change is expected between 2007, 2015 and 2020.

Making Chronic Conditions Count: 3. Hypertension

Chronic conditions are responsible for a significant proportion of early deaths. They reduce quality of life in many of the adults living with them, represent substantial financial costs to patients and the health and social care system, and cause a significant loss of productivity to the economy. This report contains estimates and forecasts of the population prevalence of hypertension and shows how it varies across the island and what change is expected between 2007, 2015 and 2020.

Making Chronic Conditions Count: 4. Stroke

Chronic conditions are responsible for a significant proportion of early deaths. They reduce quality of life in many of the adults living with them, represent substantial financial costs to patients and the health and social care system, and cause a significant loss of productivity to the economy. This report contains estimates and forecasts of the population prevalence of stroke, and it shows how it varies across the island and what change is expected between 2007, 2015 and 2020.

Musculoskeletal Conditions Briefing

Musculoskeletal conditions (MSCs) are a group of diseases that affect the body’s bones, joints, muscles and the tissues that connect them. Common MSCs include back pain, rheumatoid arthritis, osteoarthritis, osteoporosis, and spinal disorders. MSCs are the most common cause of severe long term pain and physical disability in developed countries. They significantly affect the psychosocial wellbeing of individuals as well as their families and carers. They are responsible for substantial costs to the health and social care system and the economy. They are a leading cause of absence from work and lost productivity at work. MSCs comprise a diverse group of conditions. Some have a specific medical diagnosis (eg rheumatoid arthritis) but others have no clear medical diagnosis (eg back pain). Risk factors for the development and progression of MSCs include age, sex, family history, obesity, physical inactivity, injury and biomechanical occupational health issues.

Musculoskeletal Conditions Briefing: Technical Documentation

Musculoskeletal conditions (MSCs) are a group of diseases that affect the body’s bones, joints, muscles and the tissues that connect them. Common MSCs include back pain, rheumatoid arthritis, osteoarthritis, osteoporosis, and spinal disorders. MSCs are the most common cause of severe long term pain and physical disability in developed countries. They significantly affect the psychosocial wellbeing of individuals as well as their families and carers. They are responsible for substantial costs to the health and social care system and the economy. They are a leading cause of absence from work and lost productivity at work. MSCs comprise a diverse group of conditions. Some have a specific medical diagnosis (eg rheumatoid arthritis) but others have no clear medical diagnosis (eg back pain). Risk factors for the development and progression of MSCs include age, sex, family history, obesity, physical inactivity, injury and biomechanical occupational health issues. This document details the methods used to calculate the estimates and forecasts.