School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Division of Integrated Management, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China.
School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
EBioMedicine. 2024 Oct;108:105376. doi: 10.1016/j.ebiom.2024.105376. Epub 2024 Sep 30.
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).
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 (PM) and coarse (PM) particulate matter, nitrogen dioxide (NO), along with the normalized difference vegetation index (NDVI), were derived from satellite-based exposure models.
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 PM was significantly associated with increased risks for all mortality outcomes, whilst PM showed no significant impacts. The strongest associations of PM were observed for diabetes with peripheral vascular diseases [hazard ratio (HR): 2.70; per 10 μg/m increase] and gastrointestinal cancer (2.44). Effects of NO 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 PM (23.80%) and NO (26.60%). There was a significant and negative interaction between NO and greenness, but no interaction was found between PM and greenness.
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.
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).
评估居住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。
本研究纳入了 2011 年至 2013 年期间在中国上海进行的一项前瞻性队列研究中,新诊断为 2 型糖尿病的 174063 名参与者。使用基于卫星的暴露模型,得出了住宅年度空气污染物水平,包括细颗粒物(PM)和粗颗粒物(PM)、二氧化氮(NO)和归一化植被指数(NDVI)。
在中位数为 7.9 年(相当于 1333343 人年)的随访期间,本研究记录了 22205 例死亡。PM 暴露水平越高,与所有死亡结局的风险增加呈显著相关,而 PM 则无显著影响。PM 与外周血管疾病(HR:2.70;每增加 10μg/m³)和胃肠道癌(2.44)的关联最强。NO 的影响在浓度超过约 45μg/m³时变得显著,与肺癌(1.20)和胃肠道癌(1.19)的关联最高。相反,NDVI 每增加一个四分位间距(0.10),与不同病因导致的死亡率降低相关,HR 范围为 0.76 至 1.00。绿地与死亡率之间的关联部分通过降低 PM(23.80%)和 NO(26.60%)而显著中介。NO 和绿色之间存在显著的负交互作用,但 PM 和绿色之间没有交互作用。
我们的研究结果强调了 2 型糖尿病患者对空气污染不良健康影响的脆弱性,并强调了绿色基础设施的潜在保护作用。
上海市公共卫生体系建设 6 年行动计划(GWVI-11.1-22)、国家重点研发计划(2022YFC3702701)和国家自然科学基金(82030103、82373532)。