Small-area distribution of multiple sclerosis incidence in western France: in search of environmental triggers

Autor: Karima Hammas, Gilles Edan, Morgane Lannes, J. Yaouanq, Jean-François Viel
Přispěvatelé: CHU Pontchaillou [Rennes], Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), French Ministry of Health [PHRC API 09-41], Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Adult
Male
medicine.medical_specialty
General Computer Science
Scan statistic
Population
Geographic Mapping
Disease
lcsh:Computer applications to medicine. Medical informatics
Multiple sclerosis
03 medical and health sciences
0302 clinical medicine
Epidemiology
medicine
Humans
030212 general & internal medicine
Registries
education
[SDV.EE.SANT]Life Sciences [q-bio]/Ecology
environment/Health
education.field_of_study
business.industry
Environmental triggers
Incidence (epidemiology)
Incidence
Research
Public Health
Environmental and Occupational Health
Small-area distribution
Environmental Exposure
Middle Aged
medicine.disease
General Business
Management and Accounting
Spatial cluster
Etiology
lcsh:R858-859.7
Residence
Female
France
business
030217 neurology & neurosurgery
Demography
Follow-Up Studies
Zdroj: International Journal of Health Geographics
International Journal of Health Geographics, BioMed Central, 2017, 16 (1), pp.35. ⟨10.1186/s12942-017-0108-6⟩
International Journal of Health Geographics, 2017, 16 (1), pp.35. ⟨10.1186/s12942-017-0108-6⟩
International Journal of Health Geographics, Vol 16, Iss 1, Pp 1-6 (2017)
ISSN: 1476-072X
Popis: International audience; Background: Despite intensive research over several decades, the etiology of multiple sclerosis (MS) remains poorly understood, although environmental factors are supposedly implicated. Our goal was to identify spatial clusters of MS incident cases at the small-area level to provide clues to local environmental risk factors that might cause or trigger the disease. Methods: A population-based and multi-stage study was performed in the French Brittany region to accurately ascertain the clinical onset of disease during the 2000-2004 period. The municipality of residence at the time of clinical onset was geocoded. To test for the presence of MS incidence clusters and to identify their approximate locations, we used a spatial scan statistic. We adjusted for socioeconomic deprivation, known to be strongly associated with increased MS incident rates, and scanned simultaneously for areas with either high or low rates. Sensitivity analyses (focusing on relapsing-remitting forms and/or places of residence available within the year following clinical onset) were performed. Results: A total of 848 incident cases of MS were registered in Brittany, corresponding to a crude annual incidence rate of 5.8 per 100,000 inhabitants. The spatial scan statistic did not find a significant cluster of MS incidence in either the primary analysis (p value >= 0.56) or in the sensitivity analyses (p value >= 0.16). Conclusion: The findings of this study indicate that MS incidence is not markedly affected across space, suggesting that in the years preceding the first clinical expression of the disease, no environmental trigger is operative at the small-area population level in the French Brittany region.
Databáze: OpenAIRE
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