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相关概念视频

Assessment of the Cardiovascular System I: Subjective Data01:23

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A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
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Selected Data About Geographic Locations01:25

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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基于多个来源数据的空间规模分析建筑环境和心血管疾病之间的关系.

Jiwei Xu1, Ying Jing2, Xinkun Xu3

  • 1School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, PR China.

Health & place
|June 22, 2023
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概括

建筑环境的特点会影响心血管疾病的风险. 多尺度分析揭示了全球因素,如社会经济贫困和地方因素,如城市密度,在空间尺度上不同影响健康.

关键词:
建筑环境 建筑环境心血管疾病是什么心血管疾病MGWRRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRMGWRM多个来源的数据数据.街景图像的街景图像可以看到.

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科学领域:

  • 环境健康 环境健康
  • 城市规划是城市规划.
  • 流行病学 流行病学

背景情况:

  • 研究建筑环境对人类健康的影响至关重要.
  • 现有的研究往往忽视了空间尺度对建筑环境健康关联的影响.
  • 了解这些多层次关系是有针对性的卫生干预措施的关键.

研究的目的:

  • 分析建筑环境特征在不同空间尺度上如何影响心血管疾病 (CVD) 风险.
  • 确定哪些建筑环境属性对心血管疾病有全球 (大规模) 和地方 (小规模) 的影响.
  • 为此分析评估多尺度地理加权回归 (MGWR) 的有效性.

主要方法:

  • 从多个来源数据中选择了18个变量,使用主要组件分析将其缩小到8个构建环境属性.
  • 属性包括社会经济贫困,城市密度,街道可行性,土地使用多样性,蓝绿空间,交通便利,老龄化和街道不安全.
  • 采用多尺度地理加权回归 (MGWR) 来在各种空间尺度上建模建筑环境属性和心血管疾病之间的关系.

主要成果:

  • 与OLS和GWR相比,MGWR对建筑环境与心血管疾病的关联有更好的适应性.
  • 建筑环境变量被分为影响心血管疾病的全球性 (大规模) 和局部性 (小规模) 因素.
  • 全球变量 (社会经济贫困,可步行,土地使用多样性,蓝绿空间,交通,老龄化) 显示空间变化最小,而局部变量 (城市密度,街道不安全) 显示显著的空间梯度.

结论:

  • MGWR是一种有效的方法,用于分析跨多个空间尺度的建筑环境健康关联.
  • 不同的建筑环境属性在不同的空间尺度上发挥影响,影响心血管疾病风险.
  • 调查结果强调,需要对城市环境中的卫生干预措施制定层次和特定地点的政策.