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Fine‐scale geographical distribution and ecological risk factors for Crohn's disease in France (2007‐2014)
Author(s) -
Genin Michaël,
Fumery Mathurin,
Occelli Florent,
Savoye Guillaume,
Pariente Benjamin,
Dauchet Luc,
Giovannelli Jonathan,
Vignal Cécile,
BodyMalapel Mathilde,
Sarter Hélène,
GowerRousseau Corinne,
Ficheur Grégoire
Publication year - 2020
Publication title -
alimentary pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.308
H-Index - 177
eISSN - 1365-2036
pISSN - 0269-2813
DOI - 10.1111/apt.15512
Subject(s) - crohn's disease , medicine , distribution (mathematics) , scale (ratio) , disease , crohn disease , environmental health , ecology , geography , cartography , biology , mathematical analysis , mathematics
Summary Background Geographical variations in Crohn's disease (CD) suggest that the environment has a role in the pathogenesis of this condition. Aims To describe the spatial distribution and the clustering of CD cases in France, and to assess the relationship between the prevalence of CD and environmental risk factors. Methods We identified all patients with CD included in the French hospital discharge database from 2007 to 2014. Age‐ and gender‐smoothed standardised prevalence ratios over this period were computed for 5610 spatial units. An ecological regression analysis was used to assess the relationship between the risk of CD and ecological variables (health care, latitude, socio‐economic deprivation, urbanisation, proportion of agricultural surfaces and density of industries). Local spatial clusters of high‐CD prevalence were searched for using elliptic spatial scan statistics and characterised in a hierarchical ascendant classification based on the same ecological variables. Results About 129 089 patients with CD were identified, yielding a crude prevalence of 203 per 100 000 inhabitants. The overall spatial heterogeneity was statistically significant ( P < .001). An elevated risk of CD was found to be significantly associated with high‐social deprivation (relative risk [95% confidence interval] = 1.05 [1.02‐1.08]) and high urbanisation (1.09 [1.04‐1.14]). Sixteen significant spatial clusters of high‐CD prevalence were identified; there were no common ecological variables. Conclusions The geographical distribution of CD prevalence in France is not uniform, and is associated with high levels of social deprivation and urbanisation. Larger ecological databases integrating more detailed environmental and clinical information are needed.