Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BACKGROUND: Socioeconomic inequalities in cancer mortality have been observed in different European countries and the US until the end of the 1990s, with changes over time in the magnitude of these inequalities and contrasted situations between countries. The aim of this study is to estimate relative and absolute educational differences in cancer mortality in France between 1999 and 2007, and to compare these inequalities with those reported during the 1990s. METHODS: Data from a representative sample including 1% of the French population were analysed. Educational differences among people aged 30--74 were quantified with hazard ratios and relative indices of inequality (RII) computed using Cox regression models as well as mortality rate difference and population attributable fraction. RESULTS: In the period 1999--2007, large relative inequalities were found among men for total cancer and smoking and/or alcohol related cancers mortality (lung, head and neck, oesophagus). Among women, educational differences were reported for total cancer, head and neck and uterus cancer mortality. No association was found between education and breast cancer mortality. Slight educational differences in colorectal cancer mortality were observed in men and women. For most frequent cancers, no change was observed in the magnitude of relative inequalities in mortality between the 1990s and the 2000s, although the RII for lung cancer increased both in men and women. Among women, a large increase in absolute inequalities in mortality was observed for all cancers combined, lung, head and neck and colorectal cancer. In contrast, among men, absolute inequalities in mortality decreased for all smoking and/or alcohol related cancers. CONCLUSION: Although social inequalities in cancer mortality are still high among men, an encouraging trend is observed. Among women though, the situation regarding social inequalities is less favourable, mainly due to a health improvement limited to higher educated women. These inequalities may be expected to further increase in future years.
ISSN: 1471-2458

inserm-00868759
http://www.hal.inserm.fr/inserm-00868759
http://www.hal.inserm.fr/inserm-00868759/document
http://www.hal.inserm.fr/inserm-00868759/file/1471-2458-13-823.pdf
DOI : 10.1186/1471-2458-13-823

Éditeur(s) : HAL CCSD
Résumé : Pregnancy is a sensitive and critical period for the development of the child and the health of adults-to-be. The biological and physiological adaptation of the body dealing physical and psychosocial stressors during this period may exert its effects in adulthood (and possibly over several generations). This delayed toxicity presupposes intrinsically the need to study the effects of exposure to environmental risk factors during fetal life using a holistic approach involving risk factors at both the micro (individual characteristics) and the macro level (physical and psycho-social context). Given the heterogeneity of the Breton territory in which this work was conducted, we explored whether the impact of social inequalities and the physical environment (air pollution) on birth outcomes (fetal growth and the risk of prematurity) could be modified according to an urban or rural place of residence. This work was based on data collected as part of the Breton mother-child cohort PELAGIE, which had included 3421 pregnant women between 2002- 2006. The anthropometric parameters and gestational age at birth were measured by medical personnel at delivery. We defined urban and rural areas according to the definition of “urban units” from the National Census Bureau (INSEE). The annual concentrations of air pollution (nitrogen dioxide (NO2)) were estimated using a land-use regression modeled at a 100 m scale and developed as part of an European project. Finally, neighbourhood deprivation was estimated using a composite index developed at census blocks level and whose use was legitimated over both urban and rural areas. Neighbourhood deprivation was associated with an increased risk of infants with fetal growth restriction, only for women living in rural areas. We also observed an increased risk of preterm birth associated with NO2 concentrations > 16.4 μg.m-3, only among women residing in urban areas. The associations between air pollution and fetal growth, although sex-specific, did not seem on the other hand, to vary significantly according to the urban-rural spectrum. This work confirms the need to explore the influence of both social and environmental inequalities on intrauterine development, and to assess the role of place-based factors, such as the urban-rural context, in shaping these inequalities.
La grossesse est une période sensible et déterminante pour le développement de l’enfant et l’état de santé à l’âge adulte. L'adaptation biologique et physiologique de l'organisme face à des « stresseurs » physiques et psychosociaux au cours de cette période peut ainsi exercer ses effets à l'âge adulte (et possiblement sur plusieurs générations). Cette toxicité différée suppose intrinsèquement la nécessité d’étudier les conséquences des expositions environnementales au cours de la vie foetale et ce suivant une approche holistique intégrant autant les facteurs de risque à des niveaux micro (caractéristiques individuelles) et macro (expositions physiques externes et contexte psycho-social). Etant donné l’hétérogénéité du territoire breton dans lequel s’inscrit ce travail de thèse, nous avons cherché à explorer l’impact des inégalités sociales et de l’environnement physique (pollution atmosphérique) sur l’issue de la grossesse (croissance foetale et risque de prématurité) indépendamment chez des femmes enceintes résidant dans des zones urbaines et rurales. Ce travail s’est appuyé sur les données issues de la cohorte bretonne mère-enfant PELAGIE, qui a inclus 3421 femmes enceintes entre 2002- 2006. Les paramètres anthropométriques et l’âge gestationnel à la naissance ont été renseignés à l’accouchement par le personnel médical. Le contexte urbain et rural breton a été caractérisé à partir de la définition des unités urbaines de l’INSEE. Les concentrations annuelles de pollution atmosphérique (dioxyde d’azote (NO2)) ont été modélisées à une échelle de 100 m à partir d’un modèle de "land-use regression" développé à l’échelle européenne. Enfin, le niveau socio-économique des IRIS a été estimé à l’aide d’un indice de désavantage social - construit à partir des données du recensement de l’INSEE et dont la validité et l’adaptabilité à des territoires à la fois urbains et ruraux a été examinée au préalable. Nos résultats suggèrent une influence délétère d’un contexte de vie socioéconomique défavorable sur la croissance intra-utérine, spécifiquement chez les femmes résidant en milieu rural. Nous avons également observé une augmentation du risque de prématurité associée à des niveaux > 16.4 μg.m-3 de NO2 dans l’air, à l’inverse, uniquement chez les femmes résidant dans des zones urbaines. Les associations entre l’exposition à la pollution atmosphérique et les marqueurs de la croissance intra-utérine, bien que sexe-spécifiques, ne semblent en revanche pas varier sensiblement suivant le gradient urbain-rural. Ce travail confirme la nécessité d’évaluer l’influence des inégalités sociales et environnementales sur le développement intra-utérin et de considérer l’importance et le rôle du contexte de vie, notamment urbain-rural, dans la formation de ces inégalités.
https://tel.archives-ouvertes.fr/tel-01308518

NNT : 2015REN1B010
tel-01308518
https://tel.archives-ouvertes.fr/tel-01308518
https://tel.archives-ouvertes.fr/tel-01308518/document
https://tel.archives-ouvertes.fr/tel-01308518/file/BERTIN_M--lanie.pdf

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BACKGROUND: Few studies have considered using environmental amenities to explain social health inequalities.Nevertheless, Green spaces that promote good health may have an effect on socioeconomic health inequalities. In developed countries, there is considerable evidence that green spaces have a beneficial effect on the health of urban populations and recent studies suggest they can have a positive effect on pregnancy outcomes. To investigate the relationship between green spaces and the spatial distribution of infant mortality taking account neighborhood deprivation levels. METHODS: The study took place in Lyon metropolitan area, France. All infant deaths that occurred between 2000 and 2009 were geocoded at census block level. Each census block was assigned greenness and socioeconomic deprivation levels. The spatial--scan statistic was used to identify high risk cluster of infant mortality according to these neighborhood characteristics. RESULTS: The spatial distribution of infant mortality was not random with a high risk cluster in the south east of the Lyon metropolitan area (p<0.003). This cluster disappeared (p=0.12) after adjustment for greenness level and socioeconomic deprivation, suggesting that these factors explain part of the spatial distribution of infant mortality. These results are discussed using a conceptual framework with 3 hypothetical pathways by which green spaces may have a beneficial effect on adverse pregnancy outcomes: (i) a psychological pathway, (ii) a physiological disruption process and (iii) an environmental pathway. CONCLUSIONS: These results add some evidence to the hypothesis that there is a relationship between access to green spaces and pregnancy outcomes but further research is required to confirm this.
BMC Pregnancy and Childbirth

hal-00876083
https://hal.archives-ouvertes.fr/hal-00876083
https://hal.archives-ouvertes.fr/hal-00876083/document
DOI : 10.1186/1471-2393-13-191

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BACKGROUND: Few studies have considered using environmental amenities to explain social health inequalities.Nevertheless, Green spaces that promote good health may have an effect on socioeconomic health inequalities. In developed countries, there is considerable evidence that green spaces have a beneficial effect on the health of urban populations and recent studies suggest they can have a positive effect on pregnancy outcomes. To investigate the relationship between green spaces and the spatial distribution of infant mortality taking account neighborhood deprivation levels. METHODS: The study took place in Lyon metropolitan area, France. All infant deaths that occurred between 2000 and 2009 were geocoded at census block level. Each census block was assigned greenness and socioeconomic deprivation levels. The spatial--scan statistic was used to identify high risk cluster of infant mortality according to these neighborhood characteristics. RESULTS: The spatial distribution of infant mortality was not random with a high risk cluster in the south east of the Lyon metropolitan area (p<0.003). This cluster disappeared (p=0.12) after adjustment for greenness level and socioeconomic deprivation, suggesting that these factors explain part of the spatial distribution of infant mortality. These results are discussed using a conceptual framework with 3 hypothetical pathways by which green spaces may have a beneficial effect on adverse pregnancy outcomes: (i) a psychological pathway, (ii) a physiological disruption process and (iii) an environmental pathway. CONCLUSIONS: These results add some evidence to the hypothesis that there is a relationship between access to green spaces and pregnancy outcomes but further research is required to confirm this.
ISSN: 1471-2393

inserm-00878362
http://www.hal.inserm.fr/inserm-00878362
http://www.hal.inserm.fr/inserm-00878362/document
http://www.hal.inserm.fr/inserm-00878362/file/1471-2393-13-191.pdf
DOI : 10.1186/1471-2393-13-191

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
Background: An environmental health inequality is a major public health concern in Europe. However just few studies take into account a large set of characteristics to analyze this problematic. The aim of this study was to identify and describe how socioeconomic, health accessibility and exposure factors accumulate and interact in small areas in a French urban context, to assess environmental health inequalities related to infant and neonatal mortality.Methods: Environmental indicators on deprivation index, proximity to high-traffic roads, green space, and healthcare accessibility were created using the Geographical Information System. Cases were collected from death certificates in the city hall of each municipality in the Nice metropolitan area. Using the parental addresses, cases were geocoded to their census block of residence. A classification using a Multiple Component Analysis following by a Hierarchical Clustering allow us to characterize the census blocks in terms of level of socioeconomic, environmental and accessibility to healthcare, which are very diverse definition by nature. Relation between infant and neonatal mortality rate and the three environmental patterns which categorize the census blocks after the classification was performed using a standard Poisson regression model for count data after checking the assumption of dispersion.Results: Based on geographic indicators, three environmental patterns were identified. We found environmental inequalities and social health inequalities in Nice metropolitan area. Moreover these inequalities are counterbalance by the close proximity of deprived census blocks to healthcare facilities related to mother and newborn. So therefore we demonstrate no environmental health inequalities related to infant and neonatal mortality.Conclusion: Examination of patterns of social, environmental and in relation with healthcare access is useful to identify census blocks with needs and their effects on health. Similar analyzes could be implemented and considered in other cities or related to other birth outcomes.
ISSN: 1476-069X

halshs-01366285
https://halshs.archives-ouvertes.fr/halshs-01366285
https://halshs.archives-ouvertes.fr/halshs-01366285/document
https://halshs.archives-ouvertes.fr/halshs-01366285/file/art_10.1186_s12940-016-0163-7.pdf
PUBMED : 27449640

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
Background: Access to health care is a global public problem. In French Guiana, there exists social inequalities which are specially marked amongst immigrants who make up a third of the population. Health care inequalities are prevalent. The objective of this study was to determine factors associated with why health care amongst the poor population of Cayenne was renounced.Study design The study was cross sectional. It focused on knowledge, attitudes, practices and beliefs of the population living in poor neighborhoods of the Cayenne area. Methods: Populations coming at the Red Cross mobile screening unit in poor urban areas of Cayenne were surveyed from July 2013 to June 2014. Structured questionnaires consisted of 93 questions. Written informed consent was requested at the beginning of the questionnaire. The predictors for renouncing medical care were determined using logistic regression models and tree analysis. Results: Twenty percent of persons had renounced care. Logistic regression showed that renouncement of health care was negatively associated with having no regular physician Adjusted Odds Ratio (AOR)=0.43 (95%CI=0.24-0.79) and positively associated with being embarrassed to ask certain questions AOR=6.81 (95%CI=3.98-11.65) and having been previously refused health care by a doctor AOR=3.08 (95%CI=1.43-6.65) . Tree analysis also showed that three of these variables were linked to renouncement, with feeling shy to ask certain questions as the first branching.Conclusion: Although most people felt it was easy to see a doctor, one in five had renounced health care. The variables identified by the models suggest vulnerable persons generally had previous negative encounters with the health system and felt unwanted or non eligible for healthcare. Health care mediation and welcoming staff may be simple solutions to the above problems which were underscored in our observations.
ISSN: 1472-6963

hal-01288656
https://hal.archives-ouvertes.fr/hal-01288656
https://hal.archives-ouvertes.fr/hal-01288656/document
https://hal.archives-ouvertes.fr/hal-01288656/file/Predictive%20factors%20for%20renouncing%20to%20care%20in%20FG.pdf
PUBMEDCENTRAL : PMC4731954

Éditeur(s) : HAL CCSD
Résumé : International audience
Purpose: Social inequalities in cancer incidence and mortality have been reported in France, but no data are available for the French overseas territories. Our objective was to explore the association between cancer incidence and the socioeconomic level of the residence area in the French West Indies. Methods: Cancer incidence data were obtained from the cancer registries of Guadeloupe and Martinique (2009–2010). To assess socioeconomic status, we developed a specific index of social deprivation from census data at a small area level. We used Bayesian methods to evaluate the association between cancer incidence and the deprivation index, for all cancers combined and for the major cancer sites. Results: There was no clear association between area‐based deprivation and the incidence of all cancers combined. In men, higher area deprivation was associated with a higher incidence of prostate cancer (relative risk (RR) 1.25, 95% credible interval (CI) 1.04–1.49; RR 1.08, CI 0.91–1.29 in the categories of intermediate and high deprivation, respectively, compared to low deprivation), but was not associated with respiratory cancer. Women living in the most deprived areas had a higher incidence of stomach (RR 1.77, CI 1.12–2.89), breast (RR 1.15, CI 0.90–1.45), and cervical (RR 1.13, CI 0.63–2.01) cancers and a lower incidence of respiratory cancer (RR 0.65, CI 0.38–1.11). Conclusion: These first results in the French West Indies suggest specific patterns for some cancer sites that need to be further investigated. © 2017, Springer International Publishing AG.
Cancer Causes and Control

hal-01671494
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01671494
DOI : 10.1007/s10552-017-0946-3
PUBMED : 28849411

Éditeur(s) : HAL CCSD
Résumé : The purpose of this thesis is to improve the knowledge about and apply data mining techniques and some Bayesian model in the field of social and environmental health inequalities. On the neighborhood scale on the Paris, Marseille, Lyon and Lille metropolitan areas, the health event studied is infant mortality. We try to explain its risk with socio-economic data retrieved from the national census and environmental exposures such as air pollution, noise, proximity to traffic, green spaces and industries. The thesis is composed of two parts. The data mining part details the development of a procedure of creation of multidimensional socio-economic indices and of an R package that implements it, followed by the creation of a cumulative exposure index. In this part, data mining techniques are used to synthesize information and provide composite indicators amenable for direct usage by stakeholders or in the framework of epidemiological studies. The second part is about Bayesian models. It explains the "BYM" model. This model allows to take into account the spatial dimension of the data when estimating mortality risks. In both cases, the methods are exposed and several results of their usage in the above-mentioned context are presented. We also show the value of the socio-economic index procedure, as well as the existence of social inequalities of infant mortality in the studied metropolitan areas.
Cette thèse a pour but d'améliorer les connaissances concernant les techniques d'analyse de données et certains modèles bayésiens dans le domaine de l'étude des inégalités sociales et environnementales de santé. À l'échelle géographique de l'IRIS sur les agglomérations de Paris, Marseille, Lyon et Lille, l'événement sanitaire étudié est la mortalité infantile dont on cherchera à expliquer le risque avec des données socio-économiques issues du recensement et des expositions environnementales comme la pollution de l'air, les niveaux de bruit et la proximité aux industries polluantes, au trafic automobile ou aux espaces verts. Deux volets principaux composent cette thèse. Le volet analyse de données détaille la mise au point d'une procédure de création d'indices socio-économiques multidimensionnels et la conception d'un package R l'implémentant, puis la création d'un indice de multi-expositions environnementales. Pour cela, on utilise des techniques d'analyse de données pour synthétiser l'information et fournir des indicateurs composites utilisables directement par les décideurs publics ou dans le cadre d'études épidémiologiques. Le second volet concerne les modèles bayésiens et explique le modèle " BYM ". Celui-ci permet de prendre en compte les aspects spatiaux des données et est mis en œuvre pour estimer le risque de mortalité infantile. Dans les deux cas, les méthodes sont présentées et différents résultats de leur utilisation dans le contexte ci-dessus exposés. On montre notamment l'intérêt de la procédure de création d'indices socio-économiques et de multi-expositions, ainsi que l'existence d'inégalités sociales de mortalité infantile dans les agglomérations étudiées.
https://tel.archives-ouvertes.fr/tel-00943004

tel-00943004
https://tel.archives-ouvertes.fr/tel-00943004
https://tel.archives-ouvertes.fr/tel-00943004/document
https://tel.archives-ouvertes.fr/tel-00943004/file/Manuscrit_LallouA_final.pdf

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Mapping spatial distributions of disease occurrence can serve as a useful tool for identifying exposures of public health concern. Infant mortality is an important indicator of the health status of a population. Recent literature suggests that neighborhood deprivation status can modify the effect of air pollution on preterm delivery, a known risk factor for infant mortality. We investigated the effect of neighborhood social deprivation on the association between exposure to ambient air NO2 and infant mortality in the Lille and Lyon metropolitan areas, north and center of France, respectively, between 2002 and 2009. We conducted an ecological study using a neighborhood deprivation index estimated at the French census block from the 2006 census data. Infant mortality data were collected from local councils and geocoded using the address of residence. We generated maps using generalized additive models, smoothing on longitude and latitude while adjusting for covariates. We used permutation tests to examine the overall importance of location in the model and identify areas of increased and decreased risk. The average death rate was 4.2‰ and 4.6‰ live births for the Lille and Lyon metropolitan areas during the period. We found evidence of statistically significant precise clusters of elevated infant mortality for Lille and an east-west gradient of infant mortality risk for Lyon. Exposure to NO2 did not explain the spatial relationship. The Lille MA, socioeconomic deprivation index explained the spatial variation observed. These techniques provide evidence of clusters of significantly elevated infant mortality risk in relation with the neighborhood socioeconomic status. This method could be used for public policy management to determine priority areas for interventions. Moreover, taking into account the relationship between social and environmental exposure may help identify areas with cumulative inequalities.
ISSN: 0048-9697

inserm-00838330
http://www.hal.inserm.fr/inserm-00838330
DOI : 10.1016/j.scitotenv.2013.03.027
PUBMED : 23563257

Éditeur(s) : HAL CCSD Springer Verlag
Résumé : International audience
In France, reducing social health inequalities has become an explicit goal of health policies over the past few years, one of its objectives is specifically the reduction of the perinatal mortality rate. This study investigates the association between infant mortality and social deprivation categories at a small area level in the Lille metropolitan area, in the north of France, to identify census blocks where public authorities should prioritize appropriate preventive actions. We used census data to establish a neighbourhood deprivation index whose multiple dimensions encompass socioeconomic characteristics. Infant mortality data were obtained from the Lille metropolitan area municipalities to estimate a death rate at the census tract level. We used Bayesian hierarchical models in order to reduce the extra variability when computing relative risks (RR) and to assess the associations between infant mortality and deprivation. Between 2000 and 2009, 668 cases of infant death occurred in the Lille metropolitan area (4.2 per 1,000 live births). The socioeconomic status is associated with infant mortality, with a clear gradient of risk from the most privileged census blocks to the most deprived ones (RR = 2.62, 95 % confidence interval [1.87; 3.70]). The latter have 24.6 % of families who were single parents and 29.9 % of unemployed people in the labor force versus 8.5 % and 7.7 % in the former. Our study reveals socio-spatial disparities in infant mortality in the Lille metropolitan area and highlights the census blocks most affected by the inequalities. Fine spatial analysis may help inform the design of preventive policies tailored to the characteristics of the local communities.
ISSN: 1092-7875

hal-00876255
https://hal.archives-ouvertes.fr/hal-00876255
DOI : 10.1007/s10995-013-1251-8
PUBMED : 23479336

Éditeur(s) : HAL CCSD
Résumé : Climate change is one of the biggest public health threats in the 21th century. An increase in temperatures will lead to an increase in mortality attributable to temperature. In addition, some populations and territories are particularly vulnerable to the impact of increases in heat. It is thus necessary to identify these populations and territories as well as examine future heat-Related health impacts in order to recommend equity-Oriented policies today and in the future. The general objective of this thesis is to document current and future heat-Related vulnerability factors in the context of climate change. In order to address this general objective, the thesis involved four components: a) to conduct a systematic review and a meta-Analysis to assess the heterogeneity in the heat-Mortality associations with respect to individual and contextual population characteristics; b) to identify whether and how the magnitude of mean temperature effects on all-Cause mortality were modified by chronic air pollution exposure, social deprivation, and a combination of these two dimensions; c) to develop a method to quantify the climate change impacts on heat-Related mortality using climate modeling; d) to assess historical and future social disparities in years of life lost caused by ambient temperature in Montreal and Paris, and compare these estimates as well as the impact of climate change on social disparities between the two cities. This thesis highlights which populations are more vulnerable to heat and shows that several differences exist with regard to guidelines from international public health institutions for the identification of vulnerable populations. This thesis also identified chronic air pollution exposure as a new vulnerability factor in heat-Related mortality and that it has a double interaction with social deprivation. Furthermore, in this thesis a novel method to quantify future heat-Related mortality was developed which emphasized the strong evidence of an increase in heat-Related mortality under climate change. This method was then applied to estimate the increase in daily years of life lost social disparities in both Montreal and Paris under climate change which showed that this increase would be greater in Montreal compared to Paris in the future. Thus, this thesis which used a variety of epidemiologic methods has clarified which populations are particularly vulnerable to heat impacts and challenges guidelines for the identification of vulnerable populations from international public health institutions. It has also highlighted the climate change impacts on health inequalities and aims to reorient equity-Focused policies.
Les changements climatiques constituent l’un des enjeux les plus importants en santé publique du XXIème siècle. En effet, une hausse des températures provoquera une hausse de la mortalité attribuable à la chaleur. En outre, certaines populations et territoires sont particulièrement vulnérables aux effets de la chaleur. Il est donc nécessaire de les identifier clairement ainsi que les impacts futurs pour orienter avec équité les politiques publiques aujourd’hui et à l’avenir. L’objectif de cette thèse est de documenter les facteurs de vulnérabilité à la chaleur dans le présent et les éléments permettant leur prise en compte pour l’avenir dans le contexte des changements climatiques. Quatre étapes ont été menées pour répondre à cet objectif : a) Mener une revue systématique et une méta-Analyse des facteurs de vulnérabilité face aux risques de mortalité en lien avec la chaleur ; b) Analyser si l’exposition chronique à la pollution atmosphérique modifie la relation entre la chaleur et la mortalité dans un contexte urbain (Paris) et explorer la double interaction avec la défaveur sociale ; c) Développer une méthode de quantification des impacts liés à la chaleur en lien avec les changements climatiques en intégrant une grande diversité de simulations climatiques ; d) Estimer les inégalités d’années de vies perdues attribuables à la chaleur et leurs projections futures dans deux contextes distincts (Montréal et Paris) et comparer ces inégalités. Cette thèse a permis de mettre en évidence sur la base de la littérature épidémiologique les groupes de population qui sont les plus vulnérables face aux effets de la chaleur et de montrer qu’il y a plusieurs divergences par rapport aux recommandations émises par les institutions de santé publique vis-À-Vis de l’identification de populations vulnérables. Cette thèse a permis également d’identifier l’exposition chronique à la pollution atmosphérique comme nouveau facteur de vulnérabilité à la chaleur et que cette vulnérabilité était encore plus prononcée lorsqu’il s’agissait de populations défavorisées socialement. Puis, une méthode permettant de quantifier l’impact des changements climatiques sur les décès attribuables à la chaleur et ses sources d’incertitudes a été développée, et a permis de mettre en évidence que la probabilité que les changements climatiques conduisent à une augmentation de la mortalité en lien avec la chaleur est très forte. Cette méthode a ensuite été utilisée pour estimer que l’augmentation de la température conduira à une augmentation des inégalités sociales d’années de vie perdues à la fois à Montréal et à Paris, l’effet des changements climatiques sur l’accroissement de ces inégalités étant plus fort à Montréal qu’à Paris. Cette thèse, en se basant sur diverses méthodes épidémiologiques, a permis dans l’ensemble de clarifier quelles populations étaient particulièrement à risque face aux effets de la chaleur et de questionner les recommandations émises par les organismes tels que l’OMS. Elle a également permis de montrer l’effet des changements climatiques sur l’évolution de vulnérabilités face à la chaleur pour inciter dès aujourd’hui la mise en place de politiques publiques équitables et limiter l’impact des changements climatiques sur l’accroissement des inégalités de santé.
https://tel.archives-ouvertes.fr/tel-01456772

Droits : info:eu-repo/semantics/OpenAccess
NNT : 2015PA11T003
tel-01456772
https://tel.archives-ouvertes.fr/tel-01456772
https://tel.archives-ouvertes.fr/tel-01456772/document
https://tel.archives-ouvertes.fr/tel-01456772/file/VA_BENMARHNIA_TARIK_05022015.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
To study social health inequalities, contextual data may constitute an appropriate alternative to individual socioeconomic characteristics, often hard to retrieve. Indices can be used to summarize the multiple dimensions of the neighborhood socioeconomic status. The main objectives of this work are to develop a statistical procedure to create a neighborhood socioeconomic index and to investigate the influence of the clustering method of the deprivation index on the measure of health inequalities. Our study setting is composed of three major French metropolitan areas: Lille, Lyon and Marseille. The statistical unit is the French census block. The methodology uses several successive principal components analyses to select variables and create the index. Deprivation categories are drawn with hierarchical clustering on principal components. Twenty socioeconomic variables are selected in the neighborhood deprivation index. An optimal clustering obtained by HC is in three classes and the clusters are ordered along the first axis of the PCA.
SFDS - 44èmes journées de Statistique - 2012
Bruxelles, Belgium

hal-00734769
https://hal.archives-ouvertes.fr/hal-00734769
https://hal.archives-ouvertes.fr/hal-00734769/document
https://hal.archives-ouvertes.fr/hal-00734769/file/submission_44.pdf

Éditeur(s) : HAL CCSD Scientific Research Publishing
Résumé : International audience
In order to study social inequalities, indices can be used to summarize the multiple dimensions of the socioeconomic status. As a part of the Equit'Area Project, a public health program focused on social and environmental health inequalities; a statistical procedure to create (neighborhood) socioeconomic indices was developed. This procedure uses successive principal components analyses to select variables and create the index. In order to simplify the application of the procedure for non-specialists, the R package SesIndexCreatoR was created. It allows the creation of the index with all the possible options of the procedure, the classification of the resulting index in categories using several classical methods, the visualization of the results, and the generation of automatic reports.
ISSN: 2161-718X

hal-01161775
https://hal.archives-ouvertes.fr/hal-01161775
https://hal.archives-ouvertes.fr/hal-01161775/document
https://hal.archives-ouvertes.fr/hal-01161775/file/OJS_2015060814030742.pdf
DOI : 10.4236/ojs.2015.54031

Éditeur(s) : HAL CCSD Springer Verlag
Résumé : International audience
Smoking only partly explains the higher lung cancer incidence observed among socially deprived people. Occupational exposures may account for part of these inequalities, but this issue has been little investigated. We investigated the extent to which smoking and occupational exposures to asbestos, silica and diesel motor exhaust mediated the association between education and lung cancer incidence in men. We analyzed data from a large French population-based case–control study (1976 lung cancers, 2648 controls). Detailed information on lifelong tobacco consumption and occupational exposures to various carcinogens was collected. We conducted inverse probability-weighted marginal structural models. A strong association was observed between education and lung cancer. The indirect effect through smoking varied by educational level, with the strongest indirect effect observed for those with the lowest education (OR = 1.34 (1.14–1.57)). The indirect effect through occupational exposures was substantial among men with primary (OR = 1.22 (1.15–1.30) for asbestos and silica) or vocational secondary education (OR = 1.18 (1.12–1.25)). The contribution of smoking to educational differences in lung cancer incidence ranged from 22 % (10–34) for men with primary education to 31 % (−3 to 84) for men with a high school degree. The contribution of occupational exposures to asbestos and silica ranged from 15 % (10–20) for men with a high school degree to 20 % (13–28) for men with vocational secondary education. Our results highlight the urgent need for public health policies that aim at decreasing exposure to carcinogens at work, in addition to tobacco control policies, if we want to reduce socioeconomic inequalities in the cancer field.
ISSN: 0393-2990

hal-01360240
http://hal.upmc.fr/hal-01360240
http://hal.upmc.fr/hal-01360240/document
http://hal.upmc.fr/hal-01360240/file/Menvielle_2016_Quantifying_the.pdf
PUBMED : 27417979

Éditeur(s) : HAL CCSD International Medical Press
Résumé : International audience
Background: Although the role of clinical/biological factors associated with mortality has already been explored in HIV-infected patients on antiretroviral therapy (ART), to date little attention has been given to the potential role of social vulnerability. This study aimed to construct an appropriate measure of social vulnerability and to evaluate whether this measure is predictive of increased mortality risk in ART-treated patients followed up in the ANRS CO8 APROCO-COPILOTE cohort.Methods: The cohort enrolled 1,281 patients initiating a protease inhibitor-based regimen in 1997–1999. Clinical/laboratory data were collected every 4 months. Self-administered questionnaires collected psycho-social/behavioural characteristics at enrolment (month [M] 0), M4 and every 8–12 months thereafter. A multiple correspondence analysis using education, employment and housing indicators helped construct a composite indicator measuring social vulnerability. The outcome studied was all-cause deaths occurring after M4. The relationship between social vulnerability and mortality, after adjustment for other predictors, was studied using a shared-frailty Cox model, taking into account informative study dropout.Results: Over a median (IQR) follow-up of 7.9 (3.0–11.2) years, 121 deaths occurred among 1,057 eligible patients, corresponding to a mortality rate (95% CI) of 1.64 (1.37, 1.96)/100 person-years. Leading causes of death were non-AIDS defining cancers (n=26), AIDS (n=23) and cardiovascular diseases (n=12). Social vulnerability (HR [95% CI] =1.2 [1.0, 1.5]) was associated with increased mortality risk, after adjustment for other known behavioural and bio-medical predictors.Conclusions: Social vulnerability remains a major mortality predictor in ART-treated patients. A real need exists for innovative interventions targeting individuals cumulating several sources of social vulnerability, to ensure that social inequalities do not continue to lead to higher mortality.
ISSN: 1359-6535

hal-01299300
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01299300
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01299300/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01299300/file/Twelve-year%20mortality%20in%20HIV-infected%20patients_accepted.pdf
DOI : 10.3851/IMP2960

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Much research is being carried out into indoor exposure to harmful agents. This review focused on the impact on children's health, taking a broad approach to the indoor environment and including chemical, microbial, physical and social aspects. Papers published from 2006 onwards were reviewed, with regards to scientific context. Most of publications dealt with chemical exposure. Apart from the ongoing issue of combustion by-products, most of these papers concerned semi volatile organic compounds (such as phthalates). These may be associated with neurotoxic, reprotoxic or respiratory effects and may, therefore, be of particular interest so far as children are concerned. In a lesser extent, volatile organic compounds (such as aldehydes) that have mainly respiratory effects are still studied. Assessing exposure to metals is still of concern, with increasing interest in bioaccessibility. Most of the papers on microbial exposure focused on respiratory tract infections, especially asthma linked to allergens and bio-aerosols. Physical exposure includes noise and electromagnetic fields, and articles dealt with the auditory and non auditory effects of noise. Articles on radiofrequency electromagnetic fields mainly concerned questions about non-thermal effects and papers on extremely low-frequency magnetic fields focused on the characterization of exposure. The impact of the indoor environment on children's health cannot be assessed merely by considering the effect of these different types of exposure: this review highlights new findings and also discusses the interactions between agents in indoor environments and also with social aspects.
ISSN: 1438-4639

hal-00687403
https://hal.archives-ouvertes.fr/hal-00687403
DOI : 10.1016/j.ijheh.2011.07.008
PUBMED : 21889403

Éditeur(s) : HAL CCSD Lippincott, Williams & Wilkins
Résumé : International audience
The aim of this study was to investigate the role of socioeconomic and healthcare use characteristics in the participation in breast, cervical and colorectal cancer screening in the French West Indies. We used data from a national health survey conducted in 2014 in Martinique (n=2026) and Guadeloupe (n=2028). Logistic regressions adjusted for various sociodemographic and morbidity variables were performed. The following determinants were investigated: having hot water at home, having received income support for low-income individuals during the last year, educational level, occupational class, complementary health insurance, healthcare renouncement and visit to the general practitioner (GP) during the last year. Multiple imputations were performed to account for missing values. We observed the following cancer screening rates: 78.1% for cervical cancer, 81.5% for breast cancer and 59.5% (women) and 50.8% (men) for colorectal cancer. Higher cervical cancer screening participation was reported among women with qualified occupation and having visited the GP during the last year and lower participation among women who never worked. Higher screening participation was reported among participants having hot water at home and having visited the GP during the last year for breast and colorectal (men and women) cancer. Unexpectedly, a lower colorectal cancer screening participation was found among women with qualified occupation. We observed social inequalities in participation in cancer screening in the French West Indies, which stresses the need to continue efforts to increase screening rates in this population.
ISSN: 0959-8278

hal-01525894
http://hal.upmc.fr/hal-01525894
http://hal.upmc.fr/hal-01525894/document
http://hal.upmc.fr/hal-01525894/file/Menvielle_2016_Socioeconomic_and.pdf
DOI : 10.1097/CEJ.0000000000000329

Éditeur(s) : HAL CCSD MDPI
Résumé : International audience
Objectives: We propose a novel approach to examine vulnerability in the relationship between heat and years of life lost and apply to neighborhood social disparities in Montreal and Paris. Methods: We used historical data from the summers of 1990 through 2007 for Montreal and from 2004 through 2009 for Paris to estimate daily years of life lost social disparities (DYLLD), summarizing social inequalities across groups. We used Generalized Linear Models to separately estimate relative risks (RR) for DYLLD in association with daily mean temperatures in both cities. We used 30 climate scenarios of daily mean temperature to estimate future temperature distributions (2021-2050). We performed random effect meta-analyses to assess the impact of climate change by climate scenario for each city and compared the impact of climate change for the two cities using a meta-regression analysis. Results: We show that an increase in ambient temperature leads to an increase in social disparities in daily years of life lost. The impact of climate change on DYLLD attributable to temperature was of 2.06 (95% CI: 1.90, 2.25) in Montreal and 1.77 (95% CI: 1.61, 1.94) in Paris. The city explained a difference of 0.31 (95% CI: 0.14, 0.49) on the impact of climate change. Conclusion: We propose a new analytical approach for estimating vulnerability in the relationship between heat and health. Our results suggest that in Paris and Montreal, health disparities related to heat impacts exist today and will increase in the future
ISSN: 1660-4601

hal-01207279
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01207279
DOI : 10.3390/ijerph120911869
PUBMED : 26402690

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BACKGROUND: Few studies have explored how noise might contribute to social health inequalities, and even fewer have considered infant mortality or its risk factors as the health event of interest.In this paper, we investigate the impact of neighbourhood characteristics - both socio-economic status and ambient noise levels - on the spatial distribution of infant mortality in the Lyon metropolitan area, in France. METHODS: All infant deaths (n = 715) occurring between 2000 and 2009 were geocoded at census block level. Each census block was assigned multi-component socio-economic characteristics and Lden levels, which measure exposure to noise. Using a spatial-scan statistic, we examined whether there were significant clusters of high risk of infant mortality according to neighbourhood characteristics. RESULTS: Our results highlight the fact that infant mortality is non-randomly distributed spatially, with clusters of high risk in the south-east of the Lyon metropolitan area (RR = 1.44; p = 0.09). After adjustments for socio-economic characteristics and noise levels, this cluster disappears or shifts according to in line with different scenarios, suggesting that noise and socio-economic characteristics can partially explain the spatial distribution of infant mortality. CONCLUSION: Our findings show that noise does have an impact on the spatial distribution of mortality after adjustments for socio-economic characteristics. A link between noise and infant mortality seems plausible in view of the three hypothetical, non-exclusive, pathways we propose in our conceptual framework: (i) a psychological pathway, (ii) a physiological disruption process and (iii) an unhealthy behaviours pathway. The lack of studies makes it is difficult to compare our findings with others. They require further research for confirmation and interpretation.
ISSN: 1476-069X

Droits : info:eu-repo/semantics/OpenAccess
inserm-00924503
http://www.hal.inserm.fr/inserm-00924503
http://www.hal.inserm.fr/inserm-00924503/document
http://www.hal.inserm.fr/inserm-00924503/file/1476-069X-12-109.pdf
PUBMED : 24341620

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
INTRODUCTION: In order to study social health inequalities, contextual (or ecologic) data may constitute an appropriate alternative to individual socioeconomic characteristics. Indices can be used to summarize the multiple dimensions of the neighborhood socioeconomic status. This work proposes a statistical procedure to create a neighborhood socioeconomic index. METHODS: The study setting is composed of three French urban areas. Socioeconomic data at the census block scale come from the 1999 census. Successive principal components analyses are used to select variables and create the index. Both metropolitan area-specific and global indices are tested and compared. Socioeconomic categories are drawn with hierarchical clustering as a reference to determine "optimal" thresholds able to create categories along a one-dimensional index. RESULTS: Among the twenty variables finally selected in the index, 15 are common to the three metropolitan areas. The index explains at least 57% of the variance of these variables in each metropolitan area, with a contribution of more than 80% of the 15 common variables. CONCLUSIONS: The proposed procedure is statistically justified and robust. It can be applied to multiple geographical areas or socioeconomic variables and provides meaningful information to public health bodies. We highlight the importance of the classification method. We propose an R package in order to use this procedure.
ISSN: 1475-9276

inserm-00809310
http://www.hal.inserm.fr/inserm-00809310
http://www.hal.inserm.fr/inserm-00809310/document
http://www.hal.inserm.fr/inserm-00809310/file/1475-9276-12-21.pdf
DOI : 10.1186/1475-9276-12-21