Spatial Patterns in the Association between the Prevalence of Asthma and Determinants of Health

被引:3
|
作者
Bentue-Martinez, Carmen [1 ,2 ,7 ]
Rodrigues, Marcos [1 ,2 ]
Gonzalez, Jose Maria Llorente [3 ]
Arino, Antonio Sebastian [4 ]
Martinez, Marcos Zuil [5 ]
Zuniga-Anton, Maria [1 ,2 ,6 ]
机构
[1] Univ Zaragoza, Dept Geog & Land Management, Zaragoza, Spain
[2] Univ Inst Res Environm Sci Aragon IUCA, Zaragoza, Spain
[3] Govt Aragon, Aragon Hlth Serv, Borja Primary Care Ctr, Borja, Spain
[4] Lozano Blesa Univ Clin Hosp, Zaragoza, Spain
[5] Royo Villanova Hosp, Pneumol Serv, Zaragoza, Spain
[6] IISA, Inst Hlth Res Aragon, Zaragoza, Spain
[7] Univ Zaragoza, Dept Geog & Land Management, Pedro Cerbuna 12, Zaragoza 50009, Spain
关键词
GEOGRAPHICALLY WEIGHTED REGRESSION; SOCIAL DETERMINANTS; CLIMATE-CHANGE; OBESITY; CARE; DISPARITIES; ENVIRONMENT; DISEASES; SMOKING;
D O I
10.1111/gean.12380
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The World Health Organization endorses the study of diseases from the perspective of the Determinants of Health (DH), that is, the circumstances in which people are born and raised, the environment in which they grow up and age and their lifestyle. The aim of this study is to analyze the spatial behavior of the prevalence of asthma in Aragon, a Mediterranean region in Spain, under the DH approach. The methodological process entailed building a spatial database collating asthma prevalence as dependent variable, and lifestyle, socioeconomic, and climate indicators as explanatory factors, and then evaluating the spatial variability of the relationships by combining the Principal Component Analysis (PCA), Multiscale Geographically Weighted Regression (MGWR) models and cartographic design techniques. MGWR evidenced spatially varying relationships operating at different scales. Lifestyles seem closely tied to the prevalence of asthma in most of the study area while urban functionality and local climate patterns seem to boost prevalence rates in some specific enclaves. Consequently, the social and environmental conditions that characterize the study area translate into several DH scenarios modulating the spatial distribution of asthma. This differential DH behavior detected by local regression models is relevant to guiding and refining public health decision-making.
引用
收藏
页码:265 / 283
页数:19
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