Tobacco-attributable burden of cancer according to socioeconomic position in France.

Smoking is a major preventable cause of cancers and is increasingly concentrated among the most deprived individuals leading to increasing socioeconomic inequalities in the incidence of cancers linked to smoking. We aimed to estimate the tobacco-attributable cancer burden according to socioeconomic position in France. The analysis was restricted to cancer sites for which tobacco smoking was recognized as a risk factor. Cancer cases by sex, age group and European Deprivation Index (EDI) among people aged 30-74 between 2006 and 2009 were obtained from cancer registries covering ∼20% of the French population. The tobacco-attributable burden of cancer according to EDI was estimated applying the population attributable fraction (PAF) computed with the Peto-Lopez method. The PAF increased from 56% in the least deprived EDI quintile to 70% in the most deprived EDI quintile among men and from 26% to 38% among women. In total, 28% of the excess cancer cases in the four most deprived EDI quintiles in men and 43% in women could be prevented if smoking in these 4 EDI quintiles was similar to that of the least deprived EDI quintile. A substantial smoking-attributable burden of cancer by socioeconomic position was observed in France. The results highlight the need for policies reducing tobacco consumption. More comprehensive interventions integrating the various dimensions of health determinants and proportionate according to socioeconomic position may essentially contribute to the reduction of socioeconomic inequalities in cancer.

[Horizon scanning in preparation for future health threats: a pilot exercise conducted by the French Institute for Public Health Surveillance in 2014]. / La veille prospective, une démarche de préparation aux futures menaces de la santé publique : exercice mené à l'Institut de veille sanitaire en 2014.

Background: Health surveillance is a reactive process, with no real hindsight for dealing with signals and alerts. It may fail to detect more radical changes with a major medium-term or long-term impact on public health. To increase proactivity, the French Institute for Public Health Surveillance has opted for a prospective monitoring approach.Methods: Several steps were necessary: 1) Identification of public health determinants. 2) Identification of key variables based on a combination of determinants. Variables were classified into three groups (health event trigger factors, dissemination factors and response factors) and were submitted to future development assumptions. 3) Identification, in each of the three groups, of micro-scenarios derived from variable trends. 4) Identification of macro-scenarios, each built from the three micro-scenarios for each of the three groups. 5) Identification of issues for the future of public health.Results: The exercise identified 22 key variables, 17 micro-scenarios and 5 macro-scenarios. The topics retained relate to issues on social and territorial health inequalities, health burden, individual and collective responsibilities in terms of health, ethical aspects, emerging phenomena, 'Big data', data mining, new health technologies, interlocking of analysis scales.Conclusions: The approach presented here guides the programming of activities of a health safety agency, particularly for monitoring and surveillance. By describing possible future scenarios, health surveillance can help decision-makers to influence the context towards one or more favourable futures.

[Is environmental health the future of public health?]. / La santé environnementale est-elle l'avenir de la santé publique ?

In France, the field of public health and public health training have developed over recent decades in parallel to the emergence of environmental health; however, these two fields are grounded in conceptual and methodological underpinnings that often differ. The authors of this article try to analyse the differences between these two approaches which both have prevention as their main purpose. Both approaches use epidemiology as a tool, but they are distinguished by their uniquely different definitions of environment. Unifying both approaches around a common basis is possible, but in order to do this, public health must evolve to expand and integrate new disciplines other than epidemiology. Supported by its close ties to societal issues of concern and recent scientific developments, the environmental health boom can and should revive public health values and contribute to the development of public health training in France.

Lung cancer mortality in France. Trend analysis and projection between 1975 and 2012, using a Bayesian age-period-cohort model.

INTRODUCTION: Lung cancer is currently the most common cancer in the world and as such is an important public health concern. One of the main challenges is to foresee the evolution of trends in lung cancer mortality rates in order to anticipate the future burden of this disease as well as to plan the supply of adequate health care. The aim of this study is to propose a quantification of future lung cancer mortality rates by gender in France until the year 2012. METHODS: Lung cancer mortality data in France (1978-2002) were extracted from the National Statistics of Death and analyzed by 5-year age-groups and periods, using a Bayesian age-period-cohort model. DISCUSSION: Between 1978 and 2002, female lung cancer mortality rate rises by 3.3%year(-1). For men, a slow increase is observed until 1988-1992 followed by a declining trend. In 1998-2002, age-standardized mortality rates were, respectively, 45.5 and 7.6 per 100000 for males and for females. By 2008-2012 these figures would reach 40.8 (95% credibility interval (CI): 32.7, 50.0) and 12.1 (CI: 11.7, 12.6) per 100000, respectively, which represents among women a 4.7% annual increase (CI: 4.5, 5.0). RESULTS: Our results highlight the relevance of pursuing public health measures in order to cope more actively with tobacco smoking in the prevention strategy against lung cancer specifically among women.

Short term effects of air pollution on hospitalizations for cardiovascular diseases in eight French cities: the PSAS program.

INTRODUCTION: Short term associations between air pollution indicators and hospitalizations for cardiovascular diseases have been suggested by epidemiological and clinical studies. The present study aims at estimating the association between particles with diameter <10 microm (PM(10)), nitrogen dioxide (NO(2)) and ozone and hospitalizations for cardiovascular diseases in eight French cities during the 1998-2003 period. METHODS: The daily number of hospitalizations in each city was extracted from the French hospital information system (PMSI) for cardiovascular diseases, cardiac diseases, ischemic heart diseases and stroke. Excess relative risks (ERRs) of hospitalization associated with a 10 microg/m(3) increase in pollutant levels were estimated in each city by fitting a Poisson regression model, controlling for well-known confounding factors and temporal trends. City-specific results were then combined by inverse variance weighting. RESULTS: Daily number of hospitalizations for cardiovascular diseases was associated with PM(10) levels (for a 10 microg/m(3) increase, ERR=0.8%, 95% CI: [0.2, 1.5]), with NO(2) (1.1%, [0.6, 1.6]) but not with ozone (0.1% [-0.2%, 0.5%]). Associations were stronger in people aged 65 years and over, and when only hospitalizations for ischemic heart diseases were considered. No association was found between strokes and air pollution levels. DISCUSSION: Our study suggests that the ambient levels of air pollutants currently experienced in the eight French cities, which are close to European air quality guidelines, are yet linked to a short term increase of hospitalizations for cardiovascular diseases. These results are consistent with epidemiological and toxicological data on the cardiovascular effects of air pollution.

The relation between temperature, ozone, and mortality in nine French cities during the heat wave of 2003.

BACKGROUND: During August 2003, record high temperatures were observed across Europe, and France was the country most affected. During this period, elevated ozone concentrations were measured all over the country. Questions were raised concerning the contribution of O3 to the health impact of the summer 2003 heat wave. METHODS: We used a time-series design to analyze short-term effects of temperature and O3 pollution on mortality. Counts of deaths were regressed on temperatures and O3 levels, controlling for possible confounders: long-term trends, season, influenza outbreaks, day of the week, and bank holiday effects. For comparison with previous results of the nine cities, we calculated pooled excess risk using a random effect approach and an empirical Bayes approach. FINDINGS: For the nine cities, the excess risk of death is significant (1.01% ; 95% confidence interval, 0.58-1.44) for an increase of 10 microg/m3 in O3 level. For the 3-17 August 2003 period, the excess risk of deaths linked to O3 and temperatures together ranged from 10.6% in Le Havre to 174.7% in Paris. When we compared the relative contributions of O3 and temperature to this joint excess risk, the contribution of O3 varied according to the city, ranging from 2.5% in Bordeaux to 85.3% in Toulouse. INTERPRETATION: We observed heterogeneity among the nine cities not only for the joint effect of O3 and temperatures, but also for the relative contribution of each factor. These results confirmed that in urban areas O3 levels have a non-negligible impact in terms of public health.

Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality.

In the past few years many studies on air pollution and health based on time series have been carried out. Yet, this approach does not assess exposure to air pollution at an individual level but it is based on ambient concentrations measured by air quality monitoring networks. Questions on the estimates of exposure to pollutants have been raised, in particular the fact that background measuring stations only have been considered in the set up of pollution indicators. To assess the impact of exposure indicator characteristics on the results of time series analysis, two series (black smoke and sulfur dioxide, respectively) of exposure indicators to urban air pollution were set up taking into account a growing part of proximity measures (industrial sources) available in the studied urban area (Le Havre, France). For each pollutant, indicators distributions were almost similar, especially for black smoke. Whatever the pollutant, the most obvious heterogeneity could be observed between the 100% background indicator and the indicator including the arithmetic mean for all the stations (50% background stations and 50% proximity stations). Then the sensitivity of the associations between mortality and air pollution to these indicators was studied. These indicators did not show statistically significant differences in the estimated excess risk. Yet, confidence intervals were more statistically significant as the contribution of proximity stations was more substantial, in particular for SO2. To conclude, the use of proximity measurements did not influence dramatically on the mean estimates of the association between air pollution and mortality indicators in Le Havre. Therefore it does not seem relevant to include the data provided by the proximity stations in the urban exposure indicators within the context of the epidemiology monitoring system.

Timing in initiating lung cancer treatment after bronchoscopy in France: Study from medico-administrative database.

BACKGROUND: Time-to-treatment of cancer is becoming a serious political and social issue. A greater understanding of the timeframes involved in cancer care is needed to reduce inequalities in access to care caused by delays. OBJECTIVE: To describe time delays in each phase of lung cancer treatment after bronchoscopy. METHOD: Using the international classification of diseases and medical procedures codes, from national hospital discharge database we selected patients newly diagnosed for Lung cancer in 2009-2010 who had undergone treatment. RESULTS: We included 14,596 patients. Median times from bronchoscopy to 1) neo-adjuvant chemotherapy and to surgery in patients with surgical pathway were 34d (Q25=22; Q75=47) and 44d (Q25=26; Q75=82), respectively, 2) chemotherapy and to radiotherapy in patients with non-surgical pathway, were 33d (Q25=22; Q75=49) and 88d (Q25=46; Q75=162) respectively, 3) first treatment irrespective of pathway and treatment combination was 34d (Q25=22; Q75=50). Time to first treatment was significantly higher with age and with the status of the first care center. It was longer in most northern regions and in overseas districts and shorter in southern and eastern regions of the country. CONCLUSION: To our knowledge, this is the first study based on medico-administrative database describing time to first treatment after bronchoscopy in patients suffering from lung cancer in France. It could inform decision-making on guidelines on times to access lung cancer treatment.

Time to first treatment after colonoscopy in patients suffering from colon or rectum cancer in France.

BACKGROUND: Time to treatment of cancer is becoming a serious political and social issue. A greater understanding of the timeframes involved in cancer care is needed to reduce inequalities in access to care caused by delays. OBJECTIVE: To describe indicators of time to first treatment after colonoscopy in colon cancer (CC) and rectum cancer (RC) patients in France. METHOD: Using the international classification of diseases and medical procedures codes, from national hospital discharge and long term illness databases we selected patients newly diagnosed for CC or RC in 2009-2010 who had undergone treatment. RESULTS: We included 15 694 and 6 623 patients for CC and RC, respectively. Median times to surgery in patients with a surgical treatment pathway for CC and RC were 22 (Q1=14; Q3=34) and 97 (Q1=34; Q3=141) days, respectively. Median times to chemotherapy for patients with a non-surgical treatment pathway, for CC and RC were 36 (Q1=21; Q3=59) and 40 (Q1=27; Q3=59) days, respectively. The median time to radiotherapy in RC patients was 53 (Q1=39; Q3=78) days.Time to surgery as first treatment in RC patients (46 days) was twice as long as that in CC patients (22 days). Time to treatment was longer in most northern regions and in overseas districts, and shorter in southern regions, for both CC and RC. CONCLUSION: The findings in this unprecedented study in France will inform decision-making policies on the future implementation of guidelines on timeframes for colorectal cancer treatment access.

Association between long-term exposure to air pollution and mortality in France: A 25-year follow-up study.

INTRODUCTION: Long-term exposure to air pollution (AP) has been shown to have an impact on mortality in numerous countries, but since 2005 no data exists for France. OBJECTIVES: We analyzed the association between long-term exposure to air pollution and mortality at the individual level in a large French cohort followed from 1989 to 2013. METHODS: The study sample consisted of 20,327 adults working at the French national electricity and gas company EDF-GDF. Annual exposure to PM10, PM10­2.5, PM2.5, NO2, O3, SO2, and benzene was assessed for the place of residence of participants using a chemistry-transport model and taking residential history into account. Hazard ratios were estimated using a Cox proportional-hazards regression model, adjusted for selected individual and contextual risk factors. Hazard ratios were computed for an interquartile range (IQR) increase in air pollutant concentrations. RESULTS: The cohort recorded 1967 non-accidental deaths. Long-term exposures to b aseline PM2.5, PM10-25, NO2 and benzene were associated with an increase in non-accidental mortality (Hazard Ratio, HR = 1.09; 95% CI: 0.99, 1.20 per 5.9 µg/m3, PM10-25; HR=1.09; 95% CI: 1.04, 1.15 per 2.2 µg/m3, NO2: HR=1.14; 95% CI: 0.99, 1.31 per 19.3 µg/m3 and benzene: HR=1.10; 95% CI: 1.00, 1.22 per 1.7 µg/m3).The strongest association was found for PM10: HR = 1.14; 95% CI: 1.05, 1.25 per 7.8 µg/m3. PM10, PM10-25 and SO2 were associated with non-accidental mortality when using time varying exposure. No significant associations were observed between air pollution and cardiovascular and respiratory mortality. CONCLUSION: Long-term exposure to fine particles, nitrogen dioxide, sulfur dioxide and benzene is associated with an increased risk of non-accidental mortality in France. Our results strengthen existing evidence that outdoor air pollution is a significant environmental risk factor for mortality. Due to the limited sample size and the nature of our study (occupational), further investigations are needed in France with a larger representative population sample.

Short-term effects of air pollution on mortality in nine French cities: a quantitative summary.

Between 1990 and 1995, 9 French cities provided data on daily air pollution, total mortality, cardiovascular mortality, and respiratory mortality. Personnel in individual cities performed Poisson regressions, controlling for trends in seasons, calendar effects, influenza epidemics, temperature, and humidity, to assess the short-term effects of air pollution. The authors describe results obtained from the quantitative pooling of these local analyses. When no heterogeneity could be detected, a fixed-effect model was used; otherwise, a random-effect model was used. Significant and positive associations were found between total daily deaths in these cities and the 4 air pollution indicators studied: (1) Black Smoke, (2) sulfur dioxide, (3) nitrogen dioxide, and (4) ozone. A 50-microg/m3 increase in Black Smoke (24 hr), sulfur dioxide (24 hr), nitrogen dioxide (24 hr), or ozone (8 hr) was associated with increases in total mortality of 2.9% (95% confidence interval [CI]) = 1.3, 4.4), 3.6% (95% CI = 2.1, 5.2), 3.8% (95% CI = 2.0, 5.5), and 2.7% (95% CI = 1.3, 4.1), respectively. Similar results were obtained for cardiovascular mortality. Except for sulfur dioxide, positive--but not significant--associations were found with respiratory mortality. The internal consistency among the cities studied, as well as consistency with previously published results, favors a causal interpretation of these associations.

Lung and breast cancer mortality among women in France: future trends.

Estimates of mortality in future years are crucial for communication, prevention and anticipation related to the burden of diseases and for developing scenarios studying the effects of reducing environmental exposure. The aim of this study is to project observed trends of mortality in France for lung and breast cancer among females to 2021. Projections of mortality rates are based on a Bayesian age-period-cohort model and a Poisson distribution. We used cancer mortality data from the French mortality register (period 1977-2006) and population data from population registers (estimated for 1977-2006 and projected for period 2007-2021 using five scenarios: largest, smallest, youngest, older, average population). Alternative models were tested (generalized additive model, negative binomial distribution). For the average population scenario, lung and breast cancer mortality rates age-standardized to the world population, are respectively: 11.5 per 10(5) women (Credibility interval: 10.3-12.8) and 15.9 (14.4-17.6) in 2007-2011, 14.6 (11.7-18.1) and 14.5 (11.6-18.0) in 2012-2016, 18.2 (12.6-26.0) and 13.3 (9.1-18.9) in 2017-2021. Projections show an ongoing increase for lung cancer and decrease for breast cancer mortality rates, which are expected to be equal in 2012-2016. Compared projections of these two cancers using a similar method had not been done before. Aggressive prevention strategies targeting smoking among women are needed to control this fast growing epidemic of avoidable cancer. Planning of health care capacity for diagnosis and treatment of cancer among females is also necessary.

Apheis: Health impact assessment of long-term exposure to PM(2.5) in 23 European cities.

INTRODUCTION: Apheis aims to provide European decision makers, environmental-health professionals and the general public with up-to-date and easy-to-use information on air pollution (AP) and public health (PH). In the Apheis-3 phase we quantified the PH impact of long-term exposure to PM(2.5) (particulate matter < 2.5 microm) in terms of attributable number of deaths and the potential gain in life expectancy in 23 European cities. METHODS: We followed the World Health Organization (WHO) methodology for Health Impact Assessment (HIA) and the Apheis guidelines for data collection and analysis. We used the programme created by PSAS-9 for attributable-cases calculations and the WHO software AirQ to estimate the potential gain in life expectancy. For most cities, PM(2.5) levels were calculated from PM10 measurements using a local or European conversion factor. RESULTS: The HIA estimated that 16,926 premature deaths from all causes, including 11,612 cardiopulmonary deaths and 1901 lung-cancer deaths, could be prevented annually if long-term exposure to PM(2.5 )levels were reduced to 15 microg/m3 in each city. Equivalently, this reduction would increase life expectancy at age 30 by a range between one month and more than two years in the Apheis cities. CONCLUSIONS: In addition to the number of attributable cases, our HIA has estimated the potential gain in life expectancy for long-term exposure to fine particles, contributing to a better quantification of the impact of AP on PH in Europe.

Impact of the 2003 heatwave on all-cause mortality in 9 French cities.

BACKGROUND: A heatwave occurred in France in August 2003, with an accompanying excess of all-cause mortality. This study quantifies this excess mortality and investigates a possible harvesting effect in the few weeks after the heatwave. METHODS: A time-series study using a Poisson regression model with regression splines to control for nonlinear confounders was used to analyze the correlation between heatwave variable and mortality in 9 French cities. RESULTS: After controlling for long-term and seasonal time trends and the usual effects of temperature and air pollution, we estimated that 3,096 extra deaths resulted from the heatwave. The maximum daily relative risk of mortality during the heatwave (compared with expected deaths at that time of year) ranged from 1.16 in Le Havre to 5.00 in Paris. There was little evidence of mortality displacement in the few weeks after the heatwave, with an estimated deficit of 253 deaths at the end of the period. CONCLUSIONS: The heatwave in France during August 2003 was associated with a large increase in the number of deaths. The impact estimated using a time-series design was consistent with crude previous estimates of the impact of the heatwave. This finding suggests that neither air pollution nor long-term and seasonal trends confounded previous estimates. There was no evidence to suggest that the extras deaths associated with the heatwave were simply brought forward in time.