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首页> 外文期刊>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences >EVALUATION OF THE LONG-TERM EFFECTS OF EXPOSURE TO GREENSPACE ON TYPE 2 DIABETIC PATIENTS: CASE STUDY – TEHRAN, IRAN
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EVALUATION OF THE LONG-TERM EFFECTS OF EXPOSURE TO GREENSPACE ON TYPE 2 DIABETIC PATIENTS: CASE STUDY – TEHRAN, IRAN

机译:评价草坪空间对2型糖尿病患者的长期影响:案例研究 - 德黑兰,伊朗

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摘要

Development of information technology and expansion of geospatial information systems have realized the planning managers and urban policy-makers’ wishes in making more informed decisions about urban management. At the same time, population growth and the provision of its health should be considered as one of the most important and remarkable issues for many researchers and medical specialists. So, in recent years there have been an increasing number of researches related to the study of effective factors such as environment parameters on the people’s health. In previous research, the long-term exposure effects of environmental parameters such as greenspace and air pollution on people’s health have been mostly ignored or access to reliable data has not been accomplished. The aim of this research is to study how the long-term exposure to greenspace surrounding the type 2 diabetes mellitus (T2DM) affects the average values of four years glycolized hemoglobin (HbA1c) levels. Moreover, in order to study the effects of the data type on reliability of the results, land-use data base (LDB) and satellite imagery have been employed. Pearson product and regression model have been used in this research for correlation and buffer analyse to calculate the degree of exposure of T2DM persons to greenspace. According to the results, negative correlation between long-term exposure to greenspace and the average values of four years HbA1c levels becomes statistically significant. Pearson correlation coefficients for the LDB (r = −0.366, p = 0.001) and satellite imagery (r = −0.276, p = 0.006) at 250-meter buffer from diabetic patients’ habitat is significant at 99% confidence level.
机译:信息技术的发展和地理空间信息系统的扩张已经意识到规划管理人员和城市政策制定者愿望为城市管理制定更明智的决定。与此同时,人口增长和提供其健康应被视为许多研究人员和医学专家最重要而显着的问题之一。因此,近年来,越来越多的研究与对人民健康等环境参数等有效因素的研究有关。在以前的研究中,环境参数的长期曝光效果如绿色空间和空气污染对人们的健康状况最大限度地忽略或获得可靠的数据尚未完成。本研究的目的是研究围绕2型糖尿病(T2DM)周围的长期暴露如何影响四年糖化血红蛋白(HBA1C)水平的平均值。此外,为了研究数据类型对结果的可靠性的影响,已经采用了土地利用数据库(LDB)和卫星图像。 Pearson产品和回归模型已在本研究中用于相关性和缓冲区分析,以计算T2DM人员对GREenspace的曝光程度。根据结果​​,长期暴露于绿地空间的负相关性和四年HBA1C水平的平均值变得统计学意义。 LDB的Pearson相关系数(r = -0.366,p = 0.001)和卫星图像(r = -0.276,p = 0.006,p = 0.006),来自糖尿病患者栖息地的250米缓冲液在99%的置信水平下显着。

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