Membre

@article{Brousmiche2021,

title = {Data for the assessment of vulnerability and resilience in the field of environmental health in the north of France},

author = {Delphine Brousmiche and Michaël Genin and Florent Occelli and Lukas Frank and Annabelle Deram and Damien Cuny and Caroline Lanier},

doi = {10.1016/j.dib.2021.107220},

year  = {2021},

date = {2021-08-01},

journal = {Data in Brief},

volume = {37},

pages = {107220},

publisher = {Elsevier BV},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}

@article{rorat:hal-03771752,

title = {Perspectives on particle-related health risk assessment},

author = {Agnieszka Rorat and Caroline Lanier and Hélène Gorge and Jean-Philippe Jaeg and Damien Cuny and Annabelle Deram and Ludivine Canivet},

url = {https://hal.archives-ouvertes.fr/hal-03771752},

doi = {10.1684/ers.2021.1571},

year  = {2021},

date = {2021-08-01},

urldate = {2021-08-01},

journal = {Environnement, Risques & Santé},

volume = {20},

number = {4},

pages = {389-394},

publisher = {John Libbey Eurotext},

note = {ACL},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}

@conference{nokey,

title = {Maladie de Crohn et pollution des sols},

author = {Lara-Maria Wakim and Florent Occelli and Damien Cuny and Caroline Lanier and Francis Douay and Annabelle Deram},

url = {https://geopdata.sciencesconf.org/},

year  = {2021},

date = {2021-12-02},

urldate = {2021-12-02},

booktitle = {Accès et utilisation des données en libre accès en géographie de la population, de la santé et des mobilités},

address = {Paris},

note = {COM},

keywords = {ER4},

pubstate = {published},

tppubtype = {conference}

}

@article{Brousmiche2020,

title = {Spatialized composite indices to evaluate environmental health inequalities: Meeting the challenge of selecting relevant variables},

author = {Delphine Brousmiche and Florent Occelli and Michaël Genin and Damien Cuny and Annabelle Deram and Caroline Lanier},

year  = {2020},

date = {2020-01-01},

journal = {Ecological Indicators},

volume = {111},

number = {106023},

pages = {16pp},

abstract = {The wide range of factors involved in environmental health and the 

	complexity of interactions between all environmental determinants 

	require the validation of multidimensional approaches. While the 

	development of composite indices is receiving growing attention by 

	scientists and public authorities, the concept continues to lack 

	transposability and robustness partly due to varying conceptualizations 

	and/or methodologies. 

 

	This review aims to promote harmonizing practices governing the first 

	step of development of composite index, namely identification and 

	characterization of the dimensions and variables that are included 

	in environmental health indices. A review of available literature 

	(more than 1500 studies) was conducted to identify the composite 

	indices developed to assess territorial determinants from an environmental 

	health perspective. This process made it possible to identify 23 

	spatialized composite indices and to assess a total of 329 variables. 

	This diversity highlights that the absence of a common framework 

	can lead to a strong subjectivity and limit comparisons between different 

	environmental health indices. The specificity and the availability 

	of certain variables would limit the transposability of indices. 

 

	In light of current knowledge, this review proposes a consolidated 

	methodological framework based on a categorization of variables into 

	dimensions and sub-dimensions related to heath, environment, social, 

	economics, services and policy. To characterize the sub-dimensions, 

	several variables are possible and can be chosen according to the 

	availability and/or accessibility of the data. The adaptation of 

	a composite index to a specific territory or to a specific issue 

	would then be effective through the included variables. This also 

	aims to be transposable to any spatial unit (country, region, census 

	tract). 

 

	This work is a first step towards a proposal of guidelines designed 

	to provide a consensual framework that could facilitate the exploitation 

	of environmental health indices. This transparency could also increase 

	the understanding and adoption of these tools by public authorities 

	and general public.},

note = {ACL},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}

@article{occelli_exposure_2020,

title = {Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis},

author = {Florent Occelli and Caroline Lanier and Damien Cuny and Annabelle Deram and Julie Dumont and Philippe Amouyel and Michèle Montaye and Luc Dauchet and Jean Dallongeville and Michaël Genin},

url = {http://www.sciencedirect.com/science/article/pii/S0048969720301182},

doi = {10.1016/j.scitotenv.2020.136608},

issn = {0048-9697},

year  = {2020},

date = {2020-01-01},

urldate = {2020-02-05},

journal = {Science of The Total Environment},

volume = {714},

pages = {136608},

abstract = {Geographical variations in cardiovascular disease rates have been linked to individual air pollutants. Investigating the relation between cardiovascular disease and exposure to a complex mixture of air pollutants requires holistic approaches. We assessed the relationship between exposure to multiple air pollutants and the incidence of coronary heart disease (CHD) in a general population sample. We collected data in the Lille MONICA registry (2008–2011) on 3268 incident cases (age range: 35–74). Based on 20 indicators, we derived a composite environmental score (SEnv) for cumulative exposure to air pollution. Poisson regression models were used to analyse associations between CHD rates on one hand and SEnv and each single indicator on the other (considered in tertiles, where T3 is the most contaminated). We adjusted models for age, sex, area-level social deprivation, and neighbourhood spatial structure. The incidence of CHD was a spatially heterogeneous (p=0.006). There was a significant positive association between SEnv and CHD incidence (trend p=0.0151). The relative risks [95%CI] of CHD were 1.08 [0.98–1.18] and 1.16 [1.04–1.29] for the 2nd and 3rd tertile of SEnv exposure. In the single pollutant analysis, PM10, NO2, cadmium, copper, nickel, and palladium were significantly associated with CHD rates. Multiple air pollution was associated with an increased risk of CHD. Single pollutants reflecting road traffic pollution were the most strongly associated with CHD. Our present results are consistent with the literature data on the impact of road traffic on the CHD risk in urban areas.},

note = {ACL},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}

@article{HAVET2020109161,

title = {Residential exposure to outdoor air pollution and adult lung function, with focus on small airway obstruction},

author = {Anaïs Havet and Sébastien Hulo and Damien Cuny and Margaux Riant and Florent Occelli and Nathalie Cherot-Kornobis and Jonathan Giovannelli and Régis Matran and Philippe Amouyel and Jean-Louis Edmé and Luc Dauchet},

url = {http://www.sciencedirect.com/science/article/pii/S0013935120300530},

doi = {https://doi.org/10.1016/j.envres.2020.109161},

issn = {0013-9351},

year  = {2020},

date = {2020-01-01},

journal = {Environmental Research},

volume = {183},

pages = {109161},

abstract = {Although a growing body of evidence suggests that chronic exposure to outdoor air pollution is linked to a decline in lung function, data on flow at low lung volumes that may be more specific of small airway obstruction are still scarce. We aimed to study the associations between residential exposure to air pollution and lung function, with specific focus on small airways obstruction. We assessed 2995 French participants (aged between 40 and 65) in the ELISABET cross-sectional survey. Residential exposures to nitrogen dioxide (NO2), particulate matter with a diameter <10 μm (PM10) and sulphur dioxide (SO2) were assessed. The spirometric parameters were forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and forced expiratory flow between 25% and 75% of FVC (FEF25-75) and at 75% of FVC (FEF75). Coefficients in linear regression models were expressed as the z-score [95% confidence interval] for an increment of 5 μg/m3 in NO2 and 2 μg/m3 in PM10 and SO2. NO2 was associated with significantly lower values of FEV1 (−0.10 [-0.15;-0.05]), FVC (−0.06 [-0.11;-0.02]), FEV1/FVC (−0.07 [-0.11;-0.03]), FEF25-75 (−0.09 [-0.14;-0.05]) and FEF75 (−0.08 [-0.12;-0.04]). PM10 was associated with significantly lower values of FEV1 (−0.10 [-0.15;-0.04]), FVC (−0.06 [-0.11;-0.01]), FEV1/FVC (−0.06 [‒0.11;-0.01]), FEF25-75 (−0.08 [-0.13;-0.03]) and FEF75 (−0.08 [-0.12;-0.04]). SO2 was associated with significantly lower values of FEV1 (−0.09 [-0.16;-0.02]), FEV1/FVC (−0.07 [-0.13;-0.01]), FEF25-75 (−0.09 [-0.15;-0.02]) and FEF75 (−0.08 [-0.14;-0.03]) but not FVC (−0.05 [-0.11; 0.009]). Even though spatial variations in pollutant levels were low, residential exposure to outdoor air pollution was associated with lower lung function, including lower FEF25-75 and FEF75 suggesting small airway obstruction.},

note = {ACL},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}

@article{Brousmiche2020b,

title = {How can we analyze environmental health resilience and vulnerability? A joint analysis with composite indices applied to the north of France},

author = {Delphine Brousmiche and Michaël Genin and Florent Occelli and Lukas Frank and Annabelle Deram and Damien Cuny and Caroline Lanier},

year  = {2020},

date = {2020-01-01},

journal = {Science of the Total Environment},

pages = {142983},

abstract = {Highlights •Transdisciplinary research is mandatory for assessing 

	environmental health issues. •Data reuse overcomes the difficulties 

	of data accessibility. •Proposed use of composite indices to assess 

	the accumulation of health determinants •Spatial heterogeneity of 

	resilience and vulnerability can be mapped at local scale. •Joint 

	analysis enables stakeholders to prioritize future public health 

	actions. 

 

	In environmental health, vulnerability reflecting the cumulative harmful 

	constraints and nuisances to which populations are subjected and 

	resilience defined as the capacity of a territory to cope with health 

	inequalities have been little extensively investigated together with 

	the same importance. Besides the diversity of factors involved, there 

	is no consensual framework to develop composite indices, one recognized 

	methodology to deal with a multifaceted issue. Therefore, this research 

	aims to establish a new transferable approach to assess the spatial 

	heterogeneity of territorial inequalities. This new strategy relies 

	on the simultaneous evaluation of resilience and vulnerability and 

	the joint analysis based on the cross-interpretation of the spatialized 

	composite indices of resilience and vulnerability. A case study was 

	conducted to demonstrate the feasibility of this methodology, using 

	the municipality as a spatial unit of analysis within a region in 

	the north of France. To provide the most holistic description possible 

	of the 3817 studied municipalities, 50 variables related to the economic, 

	environment, policy, health, services and social dimensions were 

	used to develop the composite indices. The vulnerability Index has 

	a median value of 0.151 with an IQR of [0.126–0.180] and the Resilience 

	Index has a median value of 0.341 with an IQR of [0.273–0.401]. The 

	joint analysis was conducted to classify each municipality among 

	four defined typologies: 1687 municipalities (44.2%) belong to the 

	“To monitor” category, 1646 (43.1%) to the “Resilient” category, 

	329 (8.6%) to the “Have resources” category and 155 (4.1%) to the 

	“Territorial blackspot” category. The methodology herein may be a 

	diagnostic tool to identify and prioritize municipalities that could 

	benefit from the implementation of specifically tailored public health 

	policies.},

note = {ACL},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}

@article{Lanier2020,

title = {Caractérisation de l’hétérogénéité spatiale des IESS par une approche spatialisée de la balance résilience/vulnérabilité},

author = {Caroline Lanier and Delphine Brousmiche and Annabelle Deram and Lukas Frank and Michaël Genin and Florent Occelli and Damien Cuny},

year  = {2020},

date = {2020-01-01},

journal = {Environnement, Risques & Santé},

volume = {19},

number = {4},

pages = {250-256},

abstract = {La mobilisation de toutes les politiques publiques est indispensable 

	pour agir sur les inégalités environnementales et sociales de santé 

	(IESS). Le paradigme actuel décrit ces inégalités territoriales comme 

	une accumulation de déterminants de santé défavorables dans une zone 

	géographique donnée, généralement entendue comme la vulnérabilité 

	d’un territoire. L’absence quasi-systématique des déterminants ayant 

	un impact positif sur la santé dans les modèles ne permet pas d’obtenir 

	une vision réaliste de l’impact global de l’environnement sur la 

	santé des populations. L’intégration de la résilience, comme la capacité 

	des territoires à gérer les IESS, devient alors indispensable pour 

	inclure les efforts déployés pour améliorer le cadre de vie des habitants. 

	Validée dans la région des Hauts-de-France, l’analyse conjointe d’un 

	indice composite spatialisé de vulnérabilité et d’un indice composite 

	spatialisé de résilience permet de décrire la balance résilience/vulnérabilité 

	à l’échelle des communes. Cette démarche permettra in fine de mieux 

	caractériser les IESS, d’affiner les connaissances sur les dynamiques 

	territoriales en jeu et d’orienter de nouvelles réflexions en termes 

	de gestion politique et territoriale des risques sanitaires.},

note = {ACL},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}

@conference{Rorat2020,

title = {Between physicochemical characterization of atmospheric particles and their impact on human health - challenges and perspectives (RECORD project)},

author = {Agnieszka Rorat and Caroline Lanier and Jean-Philippe Jaeg and Damien Cuny and Annabelle Deram and Ludivine Canivet},

year  = {2020},

date = {2020-01-01},

booktitle = {Atmso'Fair (Webinair), 23-24 juin 2020},

note = {ACTN},

keywords = {ER4},

pubstate = {published},

tppubtype = {conference}

}

@article{Tenailleau2020,

title = {Crohn’s disease and environmental contamination: Current challenges and perspectives in exposure evaluation},

author = {Quentin-M. Tenailleau and Caroline Lanier and Corinne Gower-Rousseau and Damien Cuny and Annabelle Deram and Florent Occelli},

year  = {2020},

date = {2020-01-01},

journal = {Environmental Pollution},

volume = {263},

pages = {114599},

abstract = {Although the incidence of Crohn’s disease has increased worldwide 

	over the past 30 years, the disorder’s exact causes and physiological 

	mechanisms have yet to be determined. Given that genetic determinants 

	alone do not explain the development of Crohn’s disease, there is 

	growing interest in “environmental” determinants. In medical science, 

	the term “environment” refers to both the ecological and social surroundings; 

	however, most published studies have focused on the latter. In environmental 

	and exposure sciences, the term “environment” mostly relates to contamination 

	of the biotope. There are many unanswered questions on how environmental 

	hazards might contribute to the pathogenesis of Crohn’s disease. 

	Which pollutants should be considered? Which mechanisms are involved? 

	And how should environmental contamination and exposure be evaluated? 

	The objective was to perform a systematic review of the literature 

	on Crohn’s disease and environmental contamination. We searched the 

	PubMed, Google Scholar, Scopus, ISI Web of Science and Prospero databases. 

	We considered all field studies previous to April 2019 conducted 

	on human health indicators, and evaluating exposure to all type of 

	physical, biological and chemical contamination of the environment. 

	The lack of clear answers to date can be ascribed to the small total 

	number of field studies (n ¼ 16 of 39 publications, most of which 

	were conducted by pioneering medical scientists), methodological 

	differences, and the small number of contaminants evaluated. This 

	make it impossible to conduct a coherent and efficient meta-analysis. 

	Based on individual analysis of available studies, we formulated 

	five recommendations on improving future research: (i) follow up 

	the currently identified leads - especially metals and endocrine 

	disruptors; (ii) explore soil contamination; (iii) gain a better 

	knowledge of exposure mechanisms by developing transdisciplinary 

	studies; (iv) identify the most plausible contaminants by developing 

	approaches based on the source-to-target distance; and (v) develop 

	registries and cohort-based analyses},

note = {ACL},

keywords = {ER4},

pubstate = {published},

tppubtype = {article}

}