Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Sci Total Environ. 2021 May 20;770:145300. doi: 10.1016/j.scitotenv.2021.145300. Epub 2021 Jan 21.
The association between residential greenness and hyperuricemia remains unclear, especially in developing countries. The current study aimed to explore the associations between residential greenness and both serum uric acid (SUA) levels and hyperuricemia in a Chinese rural population and to examine potential pathways of these associations.
In this cross-sectional study, 38,721 rural residents were recruited from the baseline survey of the Henan Rural Cohort study in 2015-2017. Two satellite-derived vegetation indices, i.e., the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI), were used to estimate residential greenness. Air pollution was determined by two proxies: particulate matter with aerodynamic diameter ≤ 2.5 μm (PM) and nitrogen dioxide (NO). Hyperuricemia was defined as SUA levels of >417 μmol/L and > 357 μmol/L for men and women, respectively. Multivariable-adjusted linear regression and logistic regression models were applied to investigate the associations of greenness with SUA and hyperuricemia, and mediation analyses were used to explore possible mechanisms underlying the associations.
An interquartile range (IQR) increase in both EVI and NDVI in the 500 m buffer was significantly associated with reductions in SUA levels of -7.23 μmol/L (95% confidence interval (CI): -8.96, -5.50) and -4.38 μmol/L (95% CI: -5.93, -2.83), respectively. The same increases in EVI and NDVI were associated with 13.8% (95% CI: 5.8%, 21.2%) and 13.0% (95% CI: 5.6%, 19.8%) lower hyperuricemia prevalence, respectively. These associations were stronger in older people (age ≥ 65), men or participants with higher averaged monthly income. The associations were partly mediated by physical activity and BMI, while no mediation effect was observed for air pollution.
Higher levels of residential greenness were significantly associated with lower SUA levels and hyperuricemia prevalence in the Chinese rural population. BMI and physical activity may play important mediating roles in the associations.
居住绿化与高尿酸血症之间的关系尚不清楚,尤其是在发展中国家。本研究旨在探讨中国农村人群居住绿化与血清尿酸(SUA)水平和高尿酸血症之间的关系,并探讨这些关系的潜在途径。
本横断面研究于 2015-2017 年从河南农村队列研究的基线调查中招募了 38721 名农村居民。使用两种卫星衍生植被指数,即归一化差异植被指数(NDVI)和增强型植被指数(EVI)来估算居住绿化。空气污染由两个替代物确定:空气动力学直径≤2.5μm 的颗粒物(PM)和二氧化氮(NO)。高尿酸血症定义为男性和女性的 SUA 水平分别>417μmol/L 和>357μmol/L。采用多变量调整线性回归和 logistic 回归模型来研究绿化与 SUA 和高尿酸血症的关系,并采用中介分析来探讨关联背后的可能机制。
在 500m 缓冲区中,EVI 和 NDVI 的四分位距(IQR)增加分别与 SUA 水平降低-7.23μmol/L(95%置信区间(CI):-8.96,-5.50)和-4.38μmol/L(95%CI:-5.93,-2.83)显著相关。EVI 和 NDVI 相同的增加与分别为 13.8%(95%CI:5.8%,21.2%)和 13.0%(95%CI:5.6%,19.8%)的低高尿酸血症患病率相关。这些关联在老年人(年龄≥65 岁)、男性或平均月收入较高的参与者中更强。这些关联部分通过身体活动和 BMI 介导,而空气污染没有观察到中介效应。
居住绿化水平较高与中国农村人群的 SUA 水平降低和高尿酸血症患病率降低显著相关。BMI 和身体活动可能在这些关联中发挥重要的中介作用。