文章基本信息

标题：Respiratory health inequalities between cities: A geographical approach
本地全文：下载
作者：Christina Aschan-Leygonie ; Sophie Baudet-Michel ; Hélène Mathian 等
期刊名称：Environnement, Risques & Santé
印刷版ISSN：1635-0421
电子版ISSN：1952-3398
出版年度：2013
卷号：12
期号：2
页码：118-128
DOI：10.1684/ers.2013.0600
出版社：John Libbey Eurotext
摘要：Figures See all figures Authors Christina Aschan-Leygonie , Sophie Baudet-Michel , Hélène Mathian , Lena Sanders Université de Lyon Faculté GHHAT UMR « environnement ville société » 5, avenue Pierre-Mendès-France 69676 Bron cedex France, Universités Paris I, Paris VII UMR « géographie-cités » CNRS 13, rue du Four 75006 Paris France Key words: air pollution, COPD, social environment, spatial health status disparities, urban health DOI : 10.1684/ers.2013.0600 Page(s) : 118-28 Published in: 2013 Background: Numerous studies have investigated spatial inequalities in health at a variety of scales, but only a few publications have compared the health status of different cities to examine the relations between these inequalities and the cities’ social, economic, and physical environment. Our aim was to identify the relations between inter-city differences in respiratory health and the regional context and urban features of each city. This paper focuses on respiratory health disparities among the 55 largest French cities. Methods: Respiratory health was defined by hospitalization for COPD (chronic obstructive pulmonary disease) in 2008, and hospitalizations for all causes served as a comparative indicator. Socioeconomic dimensions were described by standard indicators including unemployment rates by age group and percentages of adults who did not complete high school. The physical environments were characterized by altitude, temperatures, humidity, pollens and air pollution concentrations (nitrogen dioxide, ozone and particulate matter). Residential intraurban inequality indicators such as concentration indexes were also used. Bivariate methods and multiple regression models were used for data analysis. Results: Bivariate analyses showed that city COPD rates were highly correlated with most socioeconomic and some environmental indicators. Pollution was related to COPD, but not linearly. The multiple COPD regression models systematically combined socioeconomic and environmental indicators from different geographical levels: an unemployment indicator at the regional level, a climate indicator at the urban level, and intraurban residential segregation indicators. The air pollution indicators no longer appeared as explanatory variables. Conclusion: In this exploratory work, the introduction of variables at different geographic levels sheds new light on the relations between respiratory health status and environmental and socioeconomic factors.
关键词：air pollution; COPD; social environment; spatial health status disparities; urban health