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Measuring neighbourhood social and economic change for urban health studies

机译:衡量城市健康研究的社会和经济变革

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Neighbourhood change is a complex phenomenon. To study its consequences for health outcomes, we developed a measure of neighbourhood social and economic change for all census tracts ( n = 2272) in the entire city of Madrid (Spain) in two epochs (2005–2009 and 2009–2013). We used a finite mixture modelling approach with 16 indicators from several administrative sources. We found four types of neighbourhoods: Decreasing Socioeconomic Status (SES) areas with increased diversity and decreased socioeconomic status; New Housing/Gentrification areas with high residential mobility, new housing construction and with markers of gentrification in the crisis epoch; Increasing SES areas with increased socioeconomic status and decreased diversity; and Aging areas with an aging population, low residential mobility and no new construction. We describe the baseline predictors of these types of change, finding that there is a potential widening of socioeconomic gaps, as Increasing SES areas start with higher SES, and Decreasing SES areas start with lower SES. We found a change in the spatial distribution of these types between the first and second epochs, as New Housing/Gentrification areas became more common in the centre of the city. We discuss two potential applications of this type of model to the study of the consequences of residential environment changes for health determinants and health outcomes, with a particular emphasis on retail food environments and diabetes incidence.
机译:邻里变化是一种复杂的现象。为研究其对健康成果的后果,我们在两个时代我们使用了来自几种行政来源的16个指标的有限混合物建模方法。我们发现了四种类型的社区:减少了多样性增加和社会经济地位下降的社会经济地位(SES)区域;新住房/绅士化区域,具有高住宅活动,新住房建设和危机时期的绅士学标志;增加社会经济地位和多样性下降的SES领域;老龄化地区,人口老龄化,居民流动性低,没有新建。我们描述了这些变化类型的基线预测因子,发现社会经济差距的潜在扩大,因为越来越多的SES区域从较高的SE开始,并且减少SES区域以较低的SES开始。我们发现了第一和第二时代之间这些类型的空间分布的变化,因为新的住房/绅士地区在城市的中心变得更加常见。我们讨论这种模式的潜在应用,以研究卫生决定因素和健康结果的居住环境变化的后果研究,特别强调零售食品环境和糖尿病发病率。

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