Epidemiological Study of Mortality Among Workers Exposed to Tritium in France.

Workers of the Commissariat for Atomic Energy and Alternative Energy (CEA) may be potentially exposed to tritium over long periods. We aimed to assess the effect of tritium exposure on mortality in a cohort of employees followed by radiotoxicological monitoring. A total of 1,746 employees who worked for at least six months at one of three CEA centers were included between 1962 and 2011 (median follow-up 29.6 years). The cumulative dose of tritium was based on the quantification of tritium present from urinary excretion monitoring data from the beginning of occupational exposure to the end of such exposure or December 2011. Mortality was first compared to that in the French population using the standardized mortality ratio (SMR). Then, mortality risk ratios (RRs) per category of cumulative dose of tritium were estimated using categorical Poisson models adjusted for age at the onset of exposure, age, calendar period, sex, smoking, employment status, CEA center, and taking into account the number of person-years. The main causes of mortality were tumors (48%) and cardiovascular diseases (20%). The comparison of mortality within the cohort to that in the French population highlighted a lower rate for all-cause mortality and that due to cancer, related to the healthy worker effect bias. The regression model showed no effect of cumulative dose on all-cause mortality. The risk of death for most malignancies was positive, but not significant for the higher classes of doses relative to the reference class. The highest risk (not significant) was present for the class of higher doses for tumors of the larynx, trachea, bronchi and lung. The risk was significant for the higher doses for tumors of the pancreas and bladder (based on a limited number of cases: five and six deaths, respectively). Significantly more smokers died from tumors of the respiratory system than non-smokers, as expected. We were unable to show an effect of cumulative tritium dose due to the small size of the cohort and the low exposure level. However, our study underlines the need to continue following tritium-exposed workers and conducting multicenter studies.

Epidemiological Study of Mortality Among Workers Exposed to Tritium in France.

Workers of the Commissariat for Atomic Energy and Alternative Energy (CEA) may be potentially exposed to tritium over long periods. We aimed to assess the effect of tritium exposure on mortality in a cohort of employees followed by radiotoxicological monitoring. A total of 1,746 employees who worked for at least six months at one of three CEA centers were included between 1962 and 2011 (median follow-up 29.6 years). The cumulative dose of tritium was based on the quantification of tritium present from urinary excretion monitoring data from the beginning of occupational exposure to the end of such exposure or December 2011. Mortality was first compared to that in the French population using the standardized mortality ratio (SMR). Then, mortality risk ratios (RRs) per category of cumulative dose of tritium were estimated using categorical Poisson models adjusted for age at the onset of exposure, age, calendar period, sex, smoking, employment status, CEA center, and taking into account the number of person-years. The main causes of mortality were tumors (48%) and cardiovascular diseases (20%). The comparison of mortality within the cohort to that in the French population highlighted a lower rate for all-cause mortality and that due to cancer, related to the healthy worker effect bias. The regression model showed no effect of cumulative dose on all-cause mortality. The risk of death for most malignancies was positive, but not significant for the higher classes of doses relative to the reference class. The highest risk (not significant) was present for the class of higher doses for tumors of the larynx, trachea, bronchi and lung. The risk was significant for the higher doses for tumors of the pancreas and bladder (based on a limited number of cases: five and six deaths, respectively). Significantly more smokers died from tumors of the respiratory system than non-smokers, as expected. We were unable to show an effect of cumulative tritium dose due to the small size of the cohort and the low exposure level. However, our study underlines the need to continue following tritium-exposed workers and conducting multicenter studies.

Health disturbances and exposure to radiofrequency electromagnetic fields from mobile-phone base stations in French urban areas.

The effects of radiofrequency exposure on the health of people living near mobile-phone base stations (MPBSs) have been the subject of several studies since the mid-2000s, with contradictory results. We aimed to investigate the association between measured exposure to radiofrequency electromagnetic fields (RF-EMF) from MPBSs and the presence of self-reported non-specific and insomnia-like symptoms. A cross-sectional survey conducted between 2015 and 2017 in five large cities in France involved 354 people living in buildings located at a distance of 250 m or less from an MPBS and in the main transmit beam of the antennas. Information on environmental concerns, anxiety, and non-specific and insomnia-like symptoms was collected with a questionnaire administrated by telephone. A complete broadband field-meter measurement [100 kHz - 6 GHz] was then made at five points of each dwelling, followed by a spectral analysis at the point of highest exposure, detailing the contribution of each service, including MPBS. The median exposure from MPBS was 0.27 V/m (0.44 V/m for global field), ranging from 0.03 V/m to 3.58 V/m, MPBSs being the main source of exposure for 64% of the dwellings. In this study population, the measured exposure from MPBSs was not associated with self-reported non-specific or insomnia-like symptoms. However, for insomnia-like symptoms, a significant interaction was found between RF-EMF exposure from MPBSs and environmental concerns. These findings do not support the hypothesis of an effect of RF-EMF from MPBSs on non-specific or insomnia-like symptoms in the overall population. Studies are needed to further investigate the positive association observed between exposure from MPBSs and insomnia-like symptoms among people reporting environmental concerns.

Radiofrequency exposure of people living near mobile-phone base stations in France.

In response to the demand from a growing number of people concerned about the possible impact of RF-EMF on health, the French National Frequency Agency (ANFR) has published a standardized protocol for in-situ measurements of radiofrequency electromagnetic fields (RF-EMF). This protocol was based on the search for the point of highest field strength and the use of spot measurement. In the framework of an epidemiological study, such spot measurements were implemented in the homes of 354 participants located in urban areas within 250 m of a mobile-phone base station (MPBS) and in the main beam direction of the antenna. Among the participants, more than half accepted to be enrolled in a longer-term study, among whom 152 were equipped with a personal exposure meter (PEM) for 48 h and 40 for seven continuous days. Both spot and PEM measurements quantified downlink field strengths, i.e. FM, TV3-4-5, TETRA I-II-III, 2 GHz-5GHz Wi-Fi, WiMax, GSM900, GSM1800, UMTS900, UMTS 2100, LTE800, LTE1800, and LTE2600. Spot measurements showed a mean/median field strength of 0.58/0.44 V/m for total RF-EMF and 0.43/0.27 V/m from the MPBS. RF-EMF from the MPBS was the dominant source of exposure in 64% of households. Exposure to RF-EMF was influenced by the position of the windows with respect to the MPBS, in particular line-of-site visibility, the distance of the antenna and the floor of the apartment. The PEM surveys showed the measured exposure to be higher during outings than at home and during the day than at night, but there was no difference between the weekends and working days. There was a strong correlation between exposure quantified by both spot and PEM measurements, although spot measures were approximately three times higher than those by PEMs. This study is the first to assess exposure to RF-EMF of people living near a MPBS in urban areas in France. These preliminary results suggest the value of using spot measurements to estimate the impact of the evolution of the mobile-phone network and technology on the exposure of populations to RF-EMF. The low levels of RF-RMF expressed as mean values do not necessarily rule out possible health effects of this exposure.

Developing a data-driven spatial approach to assessment of neighbourhood influences on the spatial distribution of myocardial infarction.

BACKGROUND: There is a growing understanding of the role played by 'neighbourhood' in influencing health status. Various neighbourhood characteristics-such as socioeconomic environment, availability of amenities, and social cohesion, may be combined-and this could contribute to rising health inequalities. This study aims to combine a data-driven approach with clustering analysis techniques, to investigate neighbourhood characteristics that may explain the geographical distribution of the onset of myocardial infarction (MI) risk. METHODS: All MI events in patients aged 35-74 years occurring in the Strasbourg metropolitan area (SMA), from January 1, 2000 to December 31, 2007 were obtained from the Bas-Rhin coronary heart disease register. All cases were geocoded to the census block for the residential address. Each areal unit, characterized by contextual neighbourhood profile, included socioeconomic environment, availability of amenities (including leisure centres, libraries and parks, and transport) and psychosocial environment as well as specific annual rates standardized (per 100,000 inhabitants). A spatial scan statistic implemented in SaTScan was then used to identify statistically significant spatial clusters of high and low risk of MI. RESULT: MI incidence was non-randomly spatially distributed, with a cluster of high risk of MI in the northern part of the SMA [relative risk (RR) = 1.70, p = 0.001] and a cluster of low risk of MI located in the first and second periphery of SMA (RR 0.04, p value  =  0.001). Our findings suggest that the location of low MI risk is characterized by a high socioeconomic level and a low level of access to various amenities; conversely, the location of high MI risk is characterized by a high level of socioeconomic deprivation-despite the fact that inhabitants have good access to the local recreational and leisure infrastructure. CONCLUSION: Our data-driven approach highlights how the different contextual dimensions were inter-combined in the SMA. Our spatial approach allowed us to identify the neighbourhood characteristics of inhabitants living within a cluster of high versus low MI risk. Therefore, spatial data-driven analyses of routinely-collected data georeferenced by various sources may serve to guide policymakers in defining and promoting targeted actions at fine spatial level.

Air pollution by particulate matter PM10 may trigger multiple sclerosis relapses.

BACKGROUND: Seasonal variation of relapses in multiple sclerosis (MS) suggests that season-dependent factors, such as ambient air pollution, may trigger them. However, only few studies have considered possible role of air pollutants as relapse's risk factor. OBJECTIVE: We investigated the effect of particulate matter of aerodynamic diameter smaller than 10µm (PM10) on MS relapses. METHODS: In total, 536 relapsing MS patients from Strasbourg city (France) were included, accounting for 2052 relapses over 2000-2009 period. A case-crossover design was used with cases defined as the days of relapse and controls being selected in the same patient at plus and minus 35 days. Different lags from 0 to 30 days were considered. Conditional logistic regressions, adjusted on meteorological parameters, school and public holidays, were used and exposure was considered first as a quantitative variable and second, as a binary variable. RESULTS: The natural logarithm of the average PM10 concentration lagged from 1 to 3 days before relapse onset was significantly associated with relapse risk (OR =1.40 [95% confidence interval 1.08-1.81]) in cold season. Consistent results were observed when considering PM10 as a binary variable, even if not significant. CONCLUSION: With an appropriate study design and robust ascertainment of neurological events and exposure, the present study highlights the effect of PM10 on the risk of relapse in MS patients, probably through oxidative stress mechanisms.

Traffic-related air pollution and the onset of myocardial infarction: disclosing benzene as a trigger? A small-area case-crossover study.

BACKGROUND AND OBJECTIVES: Exposure to traffic is an established risk factor for the triggering of myocardial infarction (MI). Particulate matter, mainly emitted by diesel vehicles, appears to be the most important stressor. However, the possible influence of benzene from gasoline-fueled cars has not been explored so far. METHODS AND RESULTS: We conducted a case-crossover study from 2,134 MI cases recorded by the local Coronary Heart Disease Registry (2000-2007) in the Strasbourg Metropolitan Area (France). Available individual data were age, gender, previous history of ischemic heart disease and address of residence at the time of the event. Nitrogen dioxide, particles of median aerodynamic diameter <10 µm (PM10), ozone, carbon monoxide and benzene air concentrations were modeled on an hourly basis at the census block level over the study period using the deterministic ADMS-Urban air dispersion model. Model input data were emissions inventories, background pollution measurements, and meteorological data. We have found a positive, statistically significant association between concentrations of benzene and the onset of MI: per cent increase in risk for a 1 µg/m3 increase in benzene concentration in the previous 0, 0-1 and 1 day was 10.4 (95% confidence interval 3-18.2), 10.7 (2.7-19.2) and 7.2 (0.3-14.5), respectively. The associations between the other pollutants and outcome were much lower and in accordance with the literature. CONCLUSION: We have observed that benzene in ambient air is strongly associated with the triggering of MI. This novel finding needs confirmation. If so, this would mean that not only diesel vehicles, the main particulate matter emitters, but also gasoline-fueled cars--main benzene emitters-, should be taken into account for public health action.

Effects of airborne birch pollen levels on clinical symptoms of seasonal allergic rhinoconjunctivitis.

BACKGROUND: Most panel studies focusing on rhinitis and conjunctivitis symptoms and birch pollen have been performed on a linear basis and have not included air pollution and meteorological variables as potential confounders. The objective of this panel study was to assess the relationship between symptoms of seasonal allergic rhinoconjunctivitis and daily airborne birch pollen concentrations, checking with adequate statistical tools the shapes of concentration-response curves and controlling for confounders. METHODS: The severity of rhinitis, conjunctivitis, and bronchial symptoms was recorded daily in March and April 2010 (3,311 person-days) in 61 seasonal allergic rhinoconjunctivitis patients sensitized to birch. Data were analyzed with generalized additive and generalized estimating equation models to quantify the effects of birch pollens. RESULTS: The relationship between birch pollen and the percentage of patients with nasal, ocular and bronchial symptoms was linear until birch daily average concentrations of, respectively, 110, 70, and 70 grains/m(3); it reached a plateau thereafter. For an increase of 10 grains/m(3), the OR (95% CI) for nasal, ocular, and bronchial symptoms were, respectively, 1.07 (1.03-1.12), 1.17 (1.08-1.27), and 1.12 (1.03-1.21). At the beginning of the season, no nasal or ocular symptoms were observed below a threshold of 30 grains/m(3). CONCLUSIONS: Adequate modeling regression shows that the clinical response to natural exposure to birch pollen in sensitized patients varies during Betula pollen season, with a threshold at the beginning of the season, while over the whole season the relationship is linear for nasal, ocular, and bronchial symptoms up to a saturation point, followed by a plateau.

Chronic respiratory symptoms of poultry farmers and model-based estimates of long-term dust exposure.

OBJECTIVES: The airborne contaminant exposure levels experienced by poultry farmers have raised concerns about the possible health hazards associated with them. Thus, a longitudinal project was instituted in France to monitor these exposures in poultry workers and to evaluate the long-term effect on health. METHOD: Sixty-three workers in two different poultry housing systems were included (33 from floor-based systems and 30 from cage-based systems). Personal dust concentrations (over 2 days) and activity patterns (over 14 days) were collected and then modeled to obtain average long-term estimates. Health data were collected by questionnaire. RESULTS: The mean daily time spent in the cage system was more than 2 hours longer than in the floor system. Two main common tasks accounted for ~70% of this time. Dust concentrations were higher in the floor system than in the cage system. The concentrations for the 14 days of known activity patterns estimated using the statistical model agreed well with the measured values. Several chronic respiratory symptoms were significantly associated with the high levels of long-term exposure estimated by the model. The highest risk was for chronic bronchitis symptoms (>4-fold higher for exposures of 0.1 mg/m(3) of respirable dust). CONCLUSION: The presented modeling strategy can be used to estimate the long-term average personal exposure to respirable dust, and to study the association between dust exposure and chronic respiratory symptoms. This population of workers will be followed-up in subsequent examinations (3 years later) to determine whether the predictive model is valid, and whether long-term dust exposure is related to the incidence of respiratory symptoms and changes in pulmonary functions.

A new air quality perception scale for global assessment of air pollution health effects.

Despite improvements in air quality in developed countries, air pollution remains a major public health issue. To fully assess the health impact, we must consider that air pollution exposure has both physical and psychological effects; this latter dimension, less documented, is more difficult to measure and subjective indicators constitute an appropriate alternative. In this context, this work presents the methodological development of a new scale to measure the perception of air quality, useful as an exposure or risk appraisal metric in public health contexts. On the basis of the responses from 2,522 subjects in eight French cities, psychometric methods are used to construct the scale from 22 items that assess risk perception (anxiety about health and quality of life) and the extent to which air pollution is a nuisance (sensorial perception and symptoms). The scale is robust, reproducible, and discriminates between subpopulations more susceptible to poor air pollution perception. The individual risk factors of poor air pollution perception are coherent with those findings in the risk perception literature. Perception of air pollution by the general public is a key issue in the development of comprehensive risk assessment studies as well as in air pollution risk management and policy. This study offers a useful new tool to measure such efforts and to help set priorities for air quality improvements in combination with air quality measurements.

Influence of socioeconomic deprivation on the relation between air pollution and beta-agonist sales for asthma.

BACKGROUND: Air pollution triggers asthma attacks hours to days after exposure. It remains unclear whether socioeconomic deprivation modulates these effects. Investigation of these interactions requires adequate statistical power, obtainable by using either a sufficient number of observations or very sensitive indicators of asthma attacks. Using a small-area temporal ecologic approach, we studied the short-term relations between ambient air pollution and sales of short-acting beta-agonist (SABA) drugs, a frequent and specific treatment for control of asthma attacks in children and young adults, and then tested the influence of deprivation on these relations. METHODS: The study took place in Strasbourg, France in 2004. Health insurance funds provided data on 15,121 SABA sales for patients aged 0 to 39 years. Deprivation was estimated by small geographic areas using an index constructed from census data. Daily average ambient concentrations of particulate matter (particles with an aerodynamic diameter < 10 microm [PM(10)]), nitrogen dioxide (NO(2)), and ozone (O(3)) were modeled on a small-area level. Adjusted case-crossover models were used for statistical analysis. RESULTS: Increased of 10 microg/m(3) in ambient PM(10), NO(2), and O(3) concentrations were associated, respectively, with increases of 7.5% (95% confidence interval [CI], 4 to 11.2%), 8.4% (95% CI, 5 to 11.9%), and 1% (95% CI, - 0.3 to 2.2%) in SABA sales. Deprivation had no influence on these relations. CONCLUSION: The associations observed are consistent with those reported by studies focusing on SABA use. Similar studies in other settings should confirm whether the lack of interaction with deprivation is due to specific local conditions.

Air pollution, asthma attacks, and socioeconomic deprivation: a small-area case-crossover study.

With few exceptions, studies of short-term health effects of air pollution use pollutant concentrations that are averaged citywide as exposure indicators. They are thus prone to exposure misclassification and consequently to bias. Measurement of the relations between air pollution and health, generally and in specific populations, could be improved by employing more geographically precise exposure estimates. The authors investigated short-term relations between ambient air pollution estimated in small geographic areas (French census blocks) and asthma attacks in Strasbourg, France, in 2000-2005--in the general population and in populations with contrasting levels of socioeconomic deprivation. Emergency health-care networks provided data on 4,683 telephone calls made for asthma attacks. Deprivation was estimated using a block-level index constructed from census data. Hourly concentrations of particulate matter less than 10 microm in aerodynamic diameter (PM(10)), sulfur dioxide, nitrogen dioxide, and ozone were modeled by block with ADMS-Urban software. Adjusted case-crossover analyses showed that asthma calls were positively but not significantly associated with PM(10) (for a 10-microg x m(-3) increase, odds ratio (OR) = 1.035, 95% confidence interval (CI): 0.997, 1.075), sulfur dioxide (OR = 1.056, 95% CI: 0.979, 1.139), and nitrogen dioxide (OR = 1.025, 95% CI: 0.990, 1.062). No association was observed for ozone (OR = 0.998, 95% CI: 0.965, 1.032). Socioeconomic deprivation had no significant influence on these relations.

Winter air pollution and infant bronchiolitis in Paris.

Respiratory syncytial virus (RSV) is one of the most common respiratory pathogens in infants and young children. It is not known why some previously healthy infants, when in contact with RSV, develop bronchiolitis whereas others have only mild symptoms. Our study aimed to evaluate the possible association between emergency hospital visits for bronchiolitis and air pollution in the Paris region during four winter seasons. We included children under the age of 3 years who attended emergency room services for bronchiolitis (following standardized definition) during the period 1997-2001. Two series of data from 34 hospitals, the daily number of emergency hospital consultations (n=50857) and the daily number of hospitalizations (n=16588) for bronchiolitis, were analyzed using alternative statistical methods; these were the generalized additive model (GAM) and case-crossover models. After adjustments for public holidays, holidays and meteorological variables the case-crossover model showed that PM10, BS, SO2 and NO2 were positively associated with both consultations and hospitalizations. GAM models, adjusting for long-term trend, seasonality, holiday, public holiday, weekday and meteorological variables, gave similar results for SO2 and PM10. This study shows that air pollution may act as a trigger for the occurrence of acute severe bronchiolitis cases.

Effect of socioeconomic status on the relationship between atmospheric pollution and mortality.

Current knowledge about potential interactions between socioeconomic status and the short- and long-term effects of air pollution on mortality was reviewed. A systematic search of the Medline database through April 2006 extracted detailed information about exposure measures, socioeconomic indicators, subjects' characteristics and principal results. Fifteen articles (time series, case-crossover, cohort) examined short-term effects. The variety of socioeconomic indicators studied made formal comparisons difficult. One striking fact emerged: studies using socioeconomic characteristics measured at coarser geographic resolutions (city- or county-wide) found no effect modification, but those using finer geographic resolutions found mixed results, and five of six studies using individually-measured socioeconomic characteristics found that pollution affected disadvantaged subjects more. This finding was echoed by the six studies of long-term effects (cohorts) identified; these had substantial methodological differences, which we discuss extensively. Current evidence does not yet justify a definitive conclusion that socioeconomic characteristics modify the effects of air pollution on mortality. Nevertheless, existing results, most tending to show greater effects among the more deprived, emphasise the importance of continuing to investigate this topic.

Air pollution, passive smoking, and respiratory symptoms in adults.

We studied the independent role of air pollution and passive smoking on respiratory symptoms and group of symptoms by following 46 adult nonsmokers for 14 wk. Outcomes included the incidence of 15 symptoms. After adjustment for passive smoking, clear rhinorrhea and cough were positively related to nitrogen dioxide (NO2), particles (PM10), and black smoke (BS); whereas headache was positively related to BS. Sneezing, sore throat, and cough were independently positively related to passive smoking. After adjustment for passive smoking, the occurrence of groups of symptoms and of the "sore throat group" were related to three pollutants. The occurrence of the "possible infection group" was positively related to BS. The occurrence of every group of symptoms was independently related to passive smoking. In conclusion, the prevailing levels of air pollution and passive smoking had independent effects on symptoms and groups of symptoms.

Pollution Atmosphérique et Santé: Corrélation ou Causalité? Le Cas de la Relation entre l'Exposition aux Particules et la Mortalité Cardio-pulmonaire.

De nombreuses études épidémiologiques ont observé dans des contextes différents une faible relation à court terme entre les particules et la mortalité cardio-pulmonaire, même quand les normes de qualité de l'air n'étaient pas dépassées. La causalité de cette relation est un enjeu de santé publique en raison de l'importance de la population exposée. Notre objectif est de faire l'inventaire critique des arguments utilisés dans 15 revues de la littérature publiées. Nous expliquons l'importance de distinguer la validité de la causalité et analysons de façon systématique les différents critères de jugement dans le contexte des études écologiques temporelles. Notre conclusion est que la relation observée est valide et que la plupart des critères de causalité sont respectés. Diminuer le niveau d'exposition des populations aux particules est souhaitable. En Europe, en agissant à la source, notamment sur les émissions Diesel, on diminuera aussi d'autres polluants qui peuvent jouer un rôle sanitaire. Aux États-Unis, la situation est plus complexe car les particules sont surtout secondaires. Il est également indispensable de poursuivre les recherches pour mieux connaître les déterminants des expositions globales des individus et mieux comprendre le rôle toxique des différents facteurs physico-chimiques des particules.