哮喘发病率与健康决定因素之间关系的空间模式

IF 3.3 3区 地球科学 Q1 GEOGRAPHY Geographical Analysis Pub Date : 2023-11-02 DOI:10.1111/gean.12380
Carmen Bentué-Martínez, Marcos Rodrigues, José María Llorente González, Antonio Sebastián Ariño, Marcos Zuil Martínez, María Zúñiga-Antón
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引用次数: 0

摘要

世界卫生组织赞同从健康决定因素(DH)的角度研究疾病,即人们出生和成长的环境、成长和衰老的环境以及他们的生活方式。本研究旨在从健康决定因素的角度分析西班牙地中海地区阿拉贡哮喘发病率的空间变化。研究方法包括建立一个空间数据库,将哮喘发病率作为因变量,将生活方式、社会经济和气候指标作为解释因素,然后结合主成分分析(PCA)、多尺度地理加权回归(MGWR)模型和制图设计技术,评估这些关系的空间变异性。多尺度地理加权回归显示了在不同尺度上的空间变化关系。在大部分研究区域,生活方式似乎与哮喘发病率密切相关,而在一些特定飞地,城市功能和当地气候模式似乎提高了发病率。因此,作为研究区域特征的社会和环境条件转化成了几种调节哮喘空间分布的 DH 方案。地方回归模型检测到的这种不同的 DH 行为与指导和完善公共卫生决策息息相关。
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Spatial Patterns in the Association between the Prevalence of Asthma and Determinants of Health

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.

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来源期刊
CiteScore
8.70
自引率
5.60%
发文量
40
期刊介绍: First in its specialty area and one of the most frequently cited publications in geography, Geographical Analysis has, since 1969, presented significant advances in geographical theory, model building, and quantitative methods to geographers and scholars in a wide spectrum of related fields. Traditionally, mathematical and nonmathematical articulations of geographical theory, and statements and discussions of the analytic paradigm are published in the journal. Spatial data analyses and spatial econometrics and statistics are strongly represented.
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