住宅空气污染和绿地与糖尿病患者全因和特定原因死亡率的关系:一项为期 11 年的前瞻性队列研究。

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
EBioMedicine Pub Date : 2024-10-01 Epub Date: 2024-09-30 DOI:10.1016/j.ebiom.2024.105376
Chunfeng Wu, Jiangdong Liu, Yanyun Li, Luxin Qin, Ruilong Gu, Jiachen Feng, Lulu Xu, Xia Meng, Jiaxin Chen, Renjie Chen, Yan Shi, Haidong Kan
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引用次数: 0

摘要

背景:评估住宅空气污染和绿地暴露对 2 型糖尿病患者特定病因死亡率的长期影响:评估居住区空气污染和绿地暴露对 2 型糖尿病(T2DM)患者特定病因死亡率的长期影响:本研究包括中国上海前瞻性队列中 174,063 名新诊断为 T2DM 的参与者,这些参与者在 2011 年至 2013 年间入组。研究结果:在中位随访的 7 个月期间,研究人员发现,上海的空气污染物水平(包括细颗粒物(PM2.5)和粗颗粒物(PM2.5-10)、二氧化氮(NO2)以及归一化差异植被指数(NDVI))均高于全国平均水平:在中位数为 7.9 年(相当于 1,333,343 人年)的随访期间,该研究共记录了 22,205 例死亡。PM2.5暴露量越高,所有死亡结果的风险就越大,而PM2.5-10则没有明显影响。PM2.5与糖尿病、外周血管疾病[危险比(HR):2.70;每增加10微克/立方米]和胃肠道癌症(2.44)的关系最为密切。二氧化氮的影响在浓度超过约 45 μg/m³ 时变得显著,与肺癌(1.20)和胃肠癌(1.19)的相关性最高。相反,NDVI(0.10)每增加一个四分位数,不同病因的死亡风险都会降低,HR 值从 0.76 到 1.00 不等。PM2.5(23.80%)和二氧化氮(26.60%)的降低在一定程度上显著调节了绿度与死亡率之间的关系。二氧化氮与绿化程度之间存在明显的负交互作用,但 PM2.5 与绿化程度之间没有交互作用:我们的研究结果凸显了 T2DM 患者易受空气污染对健康的不利影响,并强调了绿化基础设施的潜在保护作用:上海市加强公共卫生体系建设第六个三年行动计划(GWVI-11.1-22)、国家重点研发计划(2022YFC3702701)、国家自然科学基金(82030103、82373532)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of residential air pollution and green space with all-cause and cause-specific mortality in individuals with diabetes: an 11-year prospective cohort study.

Background: To assess the long-term impact of residential air pollution and green space exposure on cause-specific mortality in individuals with type 2 diabetes mellitus (T2DM).

Methods: This study includes 174,063 participants newly diagnosed with T2DM from a prospective cohort in Shanghai, China, enrolled between 2011 and 2013. Residential annual levels of air pollutants, including fine (PM2.5) and coarse (PM2.5-10) particulate matter, nitrogen dioxide (NO2), along with the normalized difference vegetation index (NDVI), were derived from satellite-based exposure models.

Findings: During a median follow-up of 7.9 years (equivalent to 1,333,343 person-years), this study recorded 22,205 deaths. Higher exposure to PM2.5 was significantly associated with increased risks for all mortality outcomes, whilst PM2.5-10 showed no significant impacts. The strongest associations of PM2.5 were observed for diabetes with peripheral vascular diseases [hazard ratio (HR): 2.70; per 10 μg/m3 increase] and gastrointestinal cancer (2.44). Effects of NO2 became significant at concentrations exceeding approximately 45 μg/m³, with the highest associations for lung cancer (1.20) and gastrointestinal cancer (1.19). Conversely, each interquartile range increase in NDVI (0.10) was linked to reduced mortality risks across different causes, with HRs ranging from 0.76 to 1.00. The association between greenness and mortality was partly and significantly mediated by reduced PM2.5 (23.80%) and NO2 (26.60%). There was a significant and negative interaction between NO2 and greenness, but no interaction was found between PM2.5 and greenness.

Interpretation: Our findings highlight the vulnerability of individuals with T2DM to the adverse health effects of air pollution and emphasise the potential protective effects of greenness infrastructure.

Funding: The 6th Three-year Action Program of Shanghai Municipality for Strengthening the Construction of Public Health System (GWVI-11.1-22), the National Key Research and Development Program (2022YFC3702701), and the National Natural Science Foundation of China (82030103, 82373532).

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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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