城市公园对糖尿病患病率中社会经济不平等现象的调节作用:西班牙马德里市横断面人口研究

Elena Plans-Beriso, Pedro Gullon, Mario Fontan-Vela, Manuel Franco, Beatriz Perez-Gomez, Marina Pollan, Isabel Cura-Gonzalez, Usama Bilal
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摘要

背景 有证据表明,城市绿地的密度可能会减少 2 型糖尿病的社会经济不平等(等原假说),但结果却相互矛盾。本研究旨在检验社会经济不平等现象是否会因公园密度而改变。方法 我们设计了一项全人口横断面研究,对象是在西班牙马德里市初级医疗保健中心登记的所有成年人(n=1 305 050)。我们从初级保健电子健康记录中获得了地理参照的个人数据,以及有关社会经济地位(SES)和公园密度的普查区数据。我们使用稳健的泊松回归模型对糖尿病患病率进行建模,该模型根据年龄、原籍国、人口密度进行调整,并包含一个与公园密度的交互项,按性别进行分层。我们利用该模型估算了不同公园密度水平下的相对不平等指数(RII)。结果 我们发现,男性和女性的总体相对不平等指数分别为 2.90(95% CI 2.78 至 3.02)和 4.50(95% CI 4.28 至 4.74),这意味着与高社会经济地位地区相比,低社会经济地位地区的糖尿病患病率要高出三到四倍半。在公园密度较高的地区,男性和女性的不平等现象更为严重,只有女性的不平等现象具有显著的交互作用(p=0.008)。解释 我们发现,在男性和女性中,社会经济地位与糖尿病发病率之间存在反比关系,在公园较多的地区,不平等现象更为严重。未来的工作应研究这些发现的机制,以促进对可能减轻糖尿病不平等的环境因素的理解。数据可能来自第三方,不对外公开。由于数据包含来自电子病历的信息,因此不对外公开。在向 "心脏健康罩 "项目提出合理要求后,研究人员可获得相关数据。
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Modifying effect of urban parks on socioeconomic inequalities in diabetes prevalence: a cross-sectional population study of Madrid City, Spain
Background Evidence has shown contradicting results on how the density of urban green spaces may reduce socioeconomic inequalities in type 2 diabetes ( equigenic hypothesis ). The aim of this study is to test whether socioeconomic inequalities in diabetes prevalence are modified by park density. Methods We designed a population-wide cross-sectional study of all adults registered in the primary healthcare centres in the city of Madrid, Spain (n=1 305 050). We obtained georeferenced individual-level data from the Primary Care Electronic Health Records, and census-tract level data on socioeconomic status (SES) and park density. We modelled diabetes prevalence using robust Poisson regression models adjusted by age, country of origin, population density and including an interaction term with park density, stratified by gender. We used this model to estimate the Relative Index of Inequality (RII) at different park density levels. Findings We found an overall RII of 2.90 (95% CI 2.78 to 3.02) and 4.50 (95% CI 4.28 to 4.74) in men and women, respectively, meaning that the prevalence of diabetes was three to four and a half times higher in low SES compared with high SES areas. These inequalities were wider in areas with higher park density for both men and women, with a significant interaction only for women (p=0.008). Interpretation We found an inverse association between SES and diabetes prevalence in both men and women, with wider inequalities in areas with more parks. Future works should study the mechanisms of these findings, to facilitate the understanding of contextual factors that may mitigate diabetes inequalities. Data may be obtained from a third party and are not publicly available. Data are not publicly available as it contains information from Electronic Medical Records. Upon reasonable request to the Heart Healthy Hoods project, data could be available for researchers.
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