82 research outputs found

    Evolution climatique et canicule en milieu urbain : apport de la télédétection à l'anticipation et à la gestion de l'impact sanitaire

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    rapport finalSummer warming trends in Western Europe are increasing the incidence, intensity and duration of heat waves. These are especially deadly in cities owing to surface properties, anthropogenic heat and pollutants. In August 2003, for nine consecutive days, the Paris metropolitan area experienced an extreme heat wave that caused 4,867 heatrelated deaths. A time series of 84 satellite thermal images, from July 21 to August 21 2003 was used to analyze surface temperature variations and the associated heat stress. Satellite observations indicate significant surface temperature gradients and contrasted daytime / nighttime urban heat island patterns. The relatively small temperature amplitude in reference to a normal summer confirms the impact of high minimum temperatures on the heat wave process, lack of nighttime relief and on the subsequent heat stress and mortality. Maps of temperature thresholds and areas most vulnerable to heat stress were delineated. Thermal indices were produced at the addresses of 482 case studies and were integrated into a regression model to estimate the risk factors of mortality for elderly people during the heat wave. Thermal indices for minimum, maximum, mean surface temperatures and diurnal amplitude were tested on the day of death and 1, 2, 6 or 13 days preceding. Results from the linear regression analysis were statistically significant for minimum temperatures. For an increase of 0.5°C, the death risk can be twice as high. A summertime satellite surveillance is being developed to inform the public and authorities about extreme surface temperatures and related heat stress. This analysis demonstrates the relevance of satellite remote sensing in monitoring heat waves in megacities, in estimating the health impact and implementing alert systems and public health strategies

    Prenatal and postnatal exposure to persistent organic pollutants and Infant growth: A pooled analysis of seven european birth cohorts

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    Background: Infant exposure to persistent organic pollutants (POPs) may contribute to obesity. However, many studies so far have been small, focused on transplacental exposure, used an inappropriate measure to assess postnatal exposure through breastfeeding if any, or did not discern between prenatal and postnatal effects. Objectives: We investigated prenatal and postnatal exposure to POPs and infant growth (a predictor of obesity). Methods: We pooled data from seven European birth cohorts with biomarker concentrations of polychlorinated biphenyl 153 (PCB-153) (n = 2,487), and p,pÂŽ-dichlorodiphenyldichloroethylene (p,pÂŽ-DDE) (n = 1,864), estimating prenatal and postnatal POPs exposure using a validated pharmacokinetic model. Growth was change in weight-for-age z-score between birth and 24 months. Per compound, multilevel models were fitted with either POPs total exposure from conception to 24 months or prenatal or postnatal exposure. Results: We found a significant increase in growth associated with p,pÂŽ-DDE, seemingly due to prenatal exposure (per interquartile increase in exposure, adjusted ÎČ = 0.12; 95% CI: 0.03, 0.22). Due to heterogeneity across cohorts, this estimate cannot be considered precise, but does indicate that an association with infant growth is present on average. In contrast, a significant decrease in growth was associated with postnatal PCB-153 exposure (ÎČ = –0.10; 95% CI: –0.19, –0.01). Conclusion: To our knowledge, this is the largest study to date of POPs exposure and infant growth, and it contains state-of-the-art exposure modeling. Prenatal p,pÂŽ-DDE was associated with increased infant growth, and postnatal PCB-153 with decreased growth at European exposure levels

    Emotional and attention-deficit/hyperactivity disorder symptoms of preterm vs. full-term children during COVID-19 pandemic restrictions

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    BACKGROUND: Preterm children are at higher risk of developing mental health problems than full-term children. Deterioration of children's mental health was observed during COVID-19 pandemic restrictive measures. Our study compared emotional and attention-deficit/hyperactivity disorder (ADHD) symptoms during school closure between preterm and full-term children. METHODS: Data from two French birth cohorts-ELFE and EPIPAGE-2-were used. In 2011, infants born ≄22 weeks' gestation were recruited. Parents completed the Strengths and Difficulties Questionnaire when the children were 9 years old and experiencing school closure. Multivariate multinomial logistic regression models were used. RESULTS: Subjects included 4164 full-term and 1119 preterm children. In univariate analyses, compared to full-term children: extremely and very preterm children more frequently had abnormal and borderline ADHD scores (odds ratio [OR] 1.86, 95% confidence interval [CI] 1.50-2.30, OR 1.42, 95% CI 1.08-1.85, respectively) and abnormal emotional scores (OR 1.86, 95% CI 1.43-2.40); moderate to late preterm children more often had abnormal ADHD scores (OR 1.33, 95% CI 1.01-1.78). The associations did not remain when previous symptoms at 5 years old were considered. CONCLUSIONS: School closure during lockdown did not appear to increase the risk of mental health problems in preterm compared to full-term children. IMPACT STATEMENT: Preterm children are at higher risk of developing mental health problems than full-term children. Deterioration in children's mental health was observed during COVID-19 pandemic restrictions. However, whether preterm children were a particularly vulnerable subgroup during school closure is unclear. In univariate analyses, extremely and very preterm children more often had abnormal and borderline ADHD symptoms and abnormal emotional symptom scores than full-term children. The associations did not remain significantly associated when previous symptoms were considered. Preterm compared to full-term children more often suffer from ADHD and emotional symptoms, but school closure during lockdown did not appear to increase this risk.SantĂ©, perception, pratiques, relations et inĂ©galitĂ©s sociales en population gĂ©nĂ©rale pendant la crise COVID-1

    Rationales, design and recruitment for the Elfe longitudinal study

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    Background Many factors act simultaneously in childhood to influence health status, life chances and well being, including pre-birth influences, the environmental pollutants of early life, health status but also the social influences of family and school. A cohort study is needed to disentangle these influences and explore attribution. Methods Elfe will be a nationally representative cohort of 20 000 children followed from birth to adulthood using a multidisciplinary approach. The cohort will be based on the INSEE Permanent Demographic Panel (EDP) established using census data and civil records. The sample size has been defined in order to match the representativeness criteria and to obtain some prevalence estimation, but also to address the research area of low exposure/rare effects. The cohort will be based on repeated surveys by face to face or phone interview (at birth and each year) as well as medical interview (at 2 years) and examination (at 6 years). Furthermore, biological samples will be taken at birth to evaluate the foetal exposition to toxic substances, environmental sensors will be placed in the child's homes. Pilot studies have been initiated in 2007 (500 children) with an overall acceptance rate of 55% and are currently under progress, the 2-year survey being carried out in October this year. Discussion The longitudinal study will provide a unique source of data to analyse the development of children in their environment, to study the various factors interacting throughout the life course up to adulthood and to determine the impact of childhood experience on the individual's physical, psychological, social and professional development

    Imputabilité de l'origine professionnelle des cancers

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    BORDEAUX2-BU Santé (330632101) / SudocSudocFranceF
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