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中美洲五国慢性肾脏病的生态学研究:与作物和热量的关联

An ecological study of chronic kidney disease in five Mesoamerican countries: associations with crop and heat.

机构信息

School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.

La Isla Network, Washington, D.C., USA.

出版信息

BMC Public Health. 2021 May 1;21(1):840. doi: 10.1186/s12889-021-10822-9.

Abstract

BACKGROUND

Mesoamerica is severely affected by an epidemic of Chronic Kidney Disease of non-traditional origin (CKDnt), an epidemic with a marked variation within countries. We sought to describe the spatial distribution of CKDnt in Mesoamerica and examine area-level crop and climate risk factors.

METHODS

CKD mortality or hospital admissions data was available for five countries: Mexico, Guatemala, El Salvador, Nicaragua and Costa Rica and linked to demographic, crop and climate data. Maps were developed using Bayesian spatial regression models. Regression models were used to analyze the association between area-level CKD burden and heat and cultivation of four crops: sugarcane, banana, rice and coffee.

RESULTS

There are regions within each of the five countries with elevated CKD burden. Municipalities in hot areas and much sugarcane cultivation had higher CKD burden, both compared to equally hot municipalities with lower intensity of sugarcane cultivation and to less hot areas with equally intense sugarcane cultivation, but associations with other crops at different intensity and heat levels were not consistent across countries.

CONCLUSION

Mapping routinely collected, already available data could be a first step to identify areas with high CKD burden. The finding of higher CKD burden in hot regions with intense sugarcane cultivation which was repeated in all five countries agree with individual-level studies identifying heavy physical labor in heat as a key CKDnt risk factor. In contrast, no associations between CKD burden and other crops were observed.

摘要

背景

中美洲受到非传统来源的慢性肾脏病(CKDnt)流行的严重影响,该病在各国之间存在明显的变异。我们试图描述中美洲 CKDnt 的空间分布,并研究区域层面的作物和气候风险因素。

方法

墨西哥、危地马拉、萨尔瓦多、尼加拉瓜和哥斯达黎加五个国家提供了 CKD 死亡率或住院治疗数据,并与人口统计学、作物和气候数据相关联。使用贝叶斯空间回归模型开发了地图。回归模型用于分析区域 CKD 负担与四种作物(甘蔗、香蕉、水稻和咖啡)的热量和种植之间的关系。

结果

五个国家中的每个国家都有 CKD 负担较高的地区。与同样炎热、甘蔗种植强度较低的城镇相比,炎热地区和大量种植甘蔗的城镇 CKD 负担更高,与同样炎热、甘蔗种植强度相同的地区相比,与其他作物在不同强度和热量水平的关联在各国并不一致。

结论

对常规收集的、已经可用的数据进行绘图可能是识别高 CKD 负担地区的第一步。在所有五个国家中,发现炎热地区甘蔗种植强度大与 CKD 负担增加有关,这与确定高温下繁重体力劳动是 CKDnt 的一个关键风险因素的个体水平研究一致。相比之下,未观察到 CKD 负担与其他作物之间存在关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/8088703/16526ebc21c2/12889_2021_10822_Fig1_HTML.jpg

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