自然和建筑环境和心力衰竭的风险:在英国生物库暴露范围的分析。

IF 7.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Xuewei Huang, Siyu Yin, Meng Yao, Fang Lei, Weifang Liu, Lijin Lin, Tao Sun, Yuanyuan Cao, Xingyuan Zhang, Ru Li, Liwen Wang, Yufeng Hu, Lan Bai, Jingjing Cai
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引用次数: 0

摘要

自然环境和人造环境与心血管健康密切相关,但对心力衰竭(HF)风险的环境决定因素仍知之甚少。在一项包括377,694名基线时无心衰的英国生物银行参与者的前瞻性队列研究中,我们使用全暴露方法分析了241种环境暴露与心衰事件风险之间的关系。我们的分析包括通过Cox回归进行全暴露关联研究(ExWAS)分析,使用正则化Cox回归和LightGBM模型识别关键暴露,以及使用自组织图和k-means聚类来评估累积效应的模式识别。在调整混杂因素和多重测试后,54例暴露与ExWAS的HF风险显著相关。结合正则化模型和LightGBM的结果,我们确定了保护因素,如更大的自然空间和更低的空气污染,以及风险因素,如靠近工业设施和高交通密度。确定了7种环境模式,其中最低的HF风险与高自然环境和健全的基础设施有关。BMI被发现介导了这些与HF的环境联系。我们的研究结果表明,自然环境和建筑环境与HF风险密切相关,有针对性地减少环境污染和优化社区设计可能为减轻HF负担提供有希望的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural and Built Environments and Heart Failure Risk: An Exposome-Wide Analysis in the UK Biobank.

Natural and built environments are closely linked to cardiovascular health, yet the environmental determinants of heart failure (HF) risk remain poorly understood. In a prospective cohort of 377,694 UK Biobank participants without HF at baseline, we analyzed the associations between 241 environmental exposures and the risk of incident HF using an exposome-wide approach. Our analysis included exposome-wide association study (ExWAS) analyses via Cox regression, identification of key exposures using regularized Cox regression and LightGBM models, and pattern recognition with self-organizing maps and k-means clustering to assess cumulative effects. After adjusting for confounders and multiple testing, 54 exposures were significantly associated with HF risk in the ExWAS. Combining results from the regularization model and LightGBM, we identified protective factors like greater natural space and lower air pollution, and risk factors such as proximity to industrial facilities and high traffic density. Seven environmental patterns were identified, with the lowest HF risk linked to high natural environments and robust infrastructure. BMI was found to mediate these environmental links to HF. Our findings demonstrate that natural and built environments are strongly associated with HF risk, and targeted strategies to reduce environmental pollution and optimize community design may offer promising ways for mitigating HF burden.

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来源期刊
Environmental Research
Environmental Research 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
12.60
自引率
8.40%
发文量
2480
审稿时长
4.7 months
期刊介绍: The Environmental Research journal presents a broad range of interdisciplinary research, focused on addressing worldwide environmental concerns and featuring innovative findings. Our publication strives to explore relevant anthropogenic issues across various environmental sectors, showcasing practical applications in real-life settings.
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