Urban Planning and Health Inequalities - Going from Macro to Micro Statistics - Cabo Verde

Abstract
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This study explores three urban units; formal, transition and informal of the capital of Cape Verde, in terms of overweight/obesity, cardiometabolic risk, physical activity and other aspects related to the urban environment.

Geographic coverage
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Sub-national coverage, only urban areas.

Analysis unit
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Individuals

Kind of data
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Sample survey data [ssd]

Sampling procedure
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A random sampling strategy based on geographical coordinates of private households was used to select in each household one adult (greater than or equal to 18 years old), living at least six months in the neighbourhood. To select a random sample a sampling frame was needed, i.e., a complete list of all residents at least 18 years old who lived in each unit for at least 6 months. Given the lack of this type of sampling frame, an alternative sampling frame was developed based on the geographical coordinates of private households in each urban unit, combining GIS and statistical software.

Nonclassical households (hospitals, orphanages, military, etc.) and homeless were not included in this study. The urban planning team identified the geographical coordinates corresponding to households, providing the centroid of the polygons which is supposed to represent a building or a detached house. However, the spatial visualization shows roofs which may represent a household or a set of households, for example, a building with 7 floors with 2 households per floor. In the last case, we repeated the corresponding geographical coordinate 14 times. Field workers were needed to complete this exhaustive field work in order to provide a more realistic list of households in each area. This list was exported to SPSS statistical software and a random sample was generated for each area.

Mode of data collection
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Face-to-face [f2f]

摘要
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本研究旨在探讨佛得角首都的三个城市单元：正规、过渡和准正规单元，从超重/肥胖、心代谢风险、身体活动以及其他与城市环境相关的方面进行分析。
地理覆盖范围
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次国家级覆盖，仅限于城市区域。
分析单元
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个体
数据类型
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样本调查数据 [ssd]
抽样程序
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采用基于私人家庭地理位置的随机抽样策略，在每户家庭中选取一名成年人（18岁及以上），该成年人至少在该地区居住六个月。为了选择随机样本，需要制定抽样框架，即每个单元至少居住6个月的18岁及以上所有居民的完整名单。鉴于缺乏此类抽样框架，基于每个城市单元中私人家庭的地理位置开发了一个替代抽样框架，结合了地理信息系统和统计软件。
未分类的家庭（如医院、孤儿院、军事设施等）和无家可归者未纳入本研究。城市规划团队确定了与家庭对应的地理位置，提供了多边形的质心，该质心代表一栋建筑或独立房屋。然而，空间可视化显示屋顶，这可能代表一个家庭或一组家庭，例如，每层有2户的7层建筑。在最后一种情况下，我们重复了相应的地理位置14次。需要实地工作人员完成这项详尽的实地工作，以提供每个地区的更真实家庭列表。该列表导出至SPSS统计软件，并为每个区域生成随机样本。
数据收集方式
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面对面 [f2f]